Feasibility of Extracting Usable DNA from Blood Samples Stored up to 21 Years in the DiPiS Study

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It addresses sample mishandling in research, where many samples lack proper biobank protocols. Prior studies focused on short-term storage and controlled conditions, highlighting the negative effects of freeze-thaw cycles. This study evaluates whether DNA from long-term stored samples under suboptimal conditions can still meet quality standards for research purposes. Genomic DNA was extracted from 1,012 capillary blood samples from the Diabetes Prediction in Skåne study. Samples were stored at -20°C for 7 to 21 years, and DNA was isolated using QIAamp DNA Blood Mini kits. DNA quantity, purity, and quality were analyzed using spectrophotometry and automated electrophoresis. Overall, 75.7% of samples met quality standards for DNA quantity (≥20 ng/µL) and purity (A260/280 ratio 1.7–1.9), with the highest proportion in 12-year samples (83.5%). DNA quality was further assessed in 270 samples, where 57.8% had a DNA Integrity Number (DIN) of 7 or higher. Despite some contamination, the majority of samples were suitable for downstream applications like next-generation sequencing. This study suggests that historical blood samples stored under suboptmal conditions can still be viable for modern genomic analyses. Biological sciences/Biological techniques Biological sciences/Cell biology Biological sciences/Molecular biology Health sciences/Endocrinology Health sciences/Medical research Blood sample long-term sample storage DNA isolation DNA concentration DNA quality Figures Figure 1 Figure 2 Figure 3 1. Introduction Whole blood is a common source of high quantity and quality DNA for molecular applications due to its relative ease of acquisition 1 . Blood samples are routinely collected in research studies and biobanking efforts across the globe, including for clinical and epidemiological studies, that can be, or have been, stored for years. DNA yield is directly correlated to the blood volume available for DNA isolation 2 . Many factors can affect the quality of DNA isolated from blood samples, such as collection method, type of collection tube, thawing and re-freezing, transportation, and storage time and facilities 3 . Several studies have examined the effects of different storage methods on blood sample condition when used 4 – 6 , and storage temperature and duration affect DNA quality and yield 4 , 6 , 7 . Provided that the correct blood collection tubes have been used, blood samples stored at 4°C for a short period will still yield DNA of acceptable quality 8 , 9 ; indeed, high concentrations of satisfactory quality DNA can be isolated from blood samples stored for eight weeks at 4°C or below in the presence of EDTA or heparin 6 . Overall, however, the desired temperature for long-term storage of whole blood samples destined for DNA isolation is − 80°C 3 . Whole blood samples can also be frozen at − 20°C long-term 3 , 10 , 11 , but DNA yields tend to be lower at this temperature 8 , 11 . Di Pietro et al. showed that whole blood samples stored long-term at − 20°C yielded high-quality DNA for genotyping studies 12 , while Chen et. al. concluded that storing blood samples long-term for between two and 19 years at − 30°C did not affect the quantity and quality of DNA 13 . Nevertheless, unforeseen events occurring during long-term storage of study samples, such as malfunctioning storage facilities or freezers or repeated freeze-thaw cycles, might affect sample quality and hence the DNA yield and quality. Few studies have investigated DNA isolated from samples stored long-term that have been heavily mistreated through thawing and freezing. Long-term storage is a necessity when samples are not immediately processed and analysed, so it is important to determine the effects of long-term storage on DNA yield and quality 14 . Here we analyse a unique cohort of samples mistreated while in long-term storage. In the Diabetes Prediction in Skåne (DiPiS) study, children donated a capillary blood sample for autoantibody analysis annually. Throughout the study, plasma was removed and stored separately from, but adjacent to, its corresponding blood cells. The blood cell samples were thawed and refrozen an unknown number of times when plasma samples were used for autoantibody analyses, but the blood cell samples have yet to be used in any analysis. This set of 7500 blood cell samples could potentially be incredibly valuable scientifically as they are part of the DiPiS cohort, representing a considerable amount of work, dedication, and time from both families and staff participating in the study over many years. Therefore, the aim of this study was to determine whether DNA of satisfactory quality could be isolated from capillary blood samples in long-term storage in DiPiS. DNA obtained from old samples and samples stored under less-than-optimal conditions could provide invaluable data for studies with large sample collections in long-term storage. 2. Methods 2.1. Study samples DiPiS was a prospective, population-based cohort study that investigated the genetic and environmental factors contributing to, or triggering, the development of type 1 diabetes. Between September 2000 and August 2004, newborns in Skåne were screened for risk of developing type 1 diabetes. Children at increased risk of type 1 diabetes were invited to participate in follow-up from two to 15 years of age or until diabetes onset, whichever occurred first 15 . During follow-up, the children donated capillary blood samples for autoantibody analyses each year. If the children developed two or more autoantibodies, they were followed four times per year and had their sample drawn by a study nurse. For each annual follow-up, a blood sample test kit containing a 0.5 mL EDTA capillary blood collection test tubes (BD, Franklin Lakes, NJ) were sent to the participant, and the blood was drawn either by their primary health care provider or by the parents at home. The sample was sent to the laboratory by post at room temperature. The time between blood draw and arrival at the laboratory could be up to seven days but was usually between one and three days. Once a blood sample arrived at the laboratory, the plasma was separated from the blood in the capillary EDTA tube. Samples were placed in boxes in the order they arrived at the laboratory and stored in multiple − 20°C freezers at our research facilities. The blood cells have been stored for up to 21 years and have been thawed an unknown number of times due to malfunctioning storage facilities (such as freezers breaking down). There is no kept record of when or which freezer has broken down over the years. Sample boxes have been moved between freezers and physically taken out of the freezers for autoantibody analyses as blood cell samples are stored adjacent to its corresponding plasma sample. Boxes physically removed from the freezers when selecting samples for autoantibody analyses subjected the blood cell samples to room temperature and freeze-thaw cycles, due to low sample volumes that thaw easily. Boxes that remained in the freezers were subjected to relatively minor insults related to opening the freezer and finding samples in different boxes. Of the 7500 blood samples saved in DiPiS, 1012 samples were randomly selected for evaluation in the current study. 478/1012 (47.2%) were from females. The samples were randomly selected from different boxes for each of the five time periods during the DiPiS follow-up: late 2002 to early 2003, 2007, 2011, 2015, and 2016. From each time period, 200 samples were randomly selected, except for 2016 where 212 samples were selected. 2.2. DNA isolation DNA was isolated from thawed samples using QIAamp DNA Blood Mini Kits (Qiagen, Hilden, Germany) according to the manufacturer’s instructions 16 , with minor modifications. Briefly, the QIAamp DNA Blood Mini Kit protocol was optimized using fresh whole blood collected in EDTA tubes, from which plasma was removed prior to overnight storage at -20°C. The volume of the study samples varied from < 10 µL to 500 µL. As reagent volumes used in the protocol are based on sample volume, samples with volumes < 250 µL were diluted to 250 µL with phosphate-buffered saline (PBS) prior to adding Qiagen protease and lysis buffer to ensure consistency with the study samples. To ensure no wastage and optimum yield, the entire blood volume in a tube was used for DNA extraction. If a sample volume was > 250 µL, the sample was loaded onto the column in two steps. The sample mixture was first transferred from the EDTA tube to the microcentrifuge tube by pipette but was later poured into the microcentrifuge instead to minimize sample loss and unnecessary use of pipette tips. However, for some samples, it was difficult to avoid transferring large clots to the column. Using a pipette, we avoided large clots, which improved the elution step and avoided clogging the filter, which could impact elution and decrease DNA quality and quantity. The sample was mixed with Qiagen protease and lysis buffer by pulse vortexing (Vortex-genie 2, Scientific Industries, Bohemia, NY) for 15 seconds. In this way, dried blood and clots were eventually dissolved in the lysis buffer through vortexing. Protease and lysis buffer were added directly into the 0.5 mL EDTA tube, instead of first transferring the sample to a microcentrifuge tube, to minimize the risk of leaving residual dried blood in the tube. The isolated DNA was stored at -20°C. 2.3. DNA analysis and quantification DNA was quantified by applying 2 µl of each sample to a NanoQuant Plate and reading on the Tecan Infinite 200 Pro instrument (Tecan, Männedorf, Switzerland). Raw absorbance data were obtained at 260, 280, and 310 nm, and blanked absorbance data were obtained at 260 and 280 nm. DNA concentration (ng/µL) and A260/280 ratio were calculated using i-control™ Microplate Reader Software (i-control 2.0, Tecan). An Agilent 2200 TapeStation (Agilent Technologies, Santa Clara, CA) was used for quality control and to evaluate DNA fragmentation in 270 of the DNA samples selected randomly but evenly from the five time periods. All samples with DNA concentrations > 100 ng/µL were diluted in elution buffer to a concentration between 10 and 100 ng/µL. Samples were prepared and analyzed according to instructions (Genomic DNA ScreenTape Assay, Agilent Technologies). Gel pictures, DNA sizing, and calculation of DNA integrity number (DIN) were performed by the TapeStation Analysis Software (A.02.01, Agilent Technologies). DNA quality was evaluated from each sample based on the % integrated area around the bp peak. The peaks and integrated area were automatically detected and set during analysis and manually checked during data analysis. Peaks were eliminated by fragment size (< 3000 bp) and integrated area ( 7 is accepted as high molecular weight DNA. In an Agilent study, a sample with DIN 9.2 and fragment size of 53,929 bp is seen as intact 17 . 2.4. Statistical analyses Descriptive statistics were compiled by years of storage. Medians and inter-quartile ranges were calculated for DNA concentrations, A260/280 and DNA yields, blood volume available per sample, and DNA yield per milliliter of blood. Medians were compiled as the data were not normally distributed. DNA quantity and quality were investigated in groups defined by the five time periods from which the samples originated (2002–2003, 2007, 2011, 2015, and 2016). The acceptability criteria of sufficient quantity, purity and quality for DNA samples included a concentration of at least 20 ng/µL to ensure sufficient template for PCR amplification, a purity indicated by an A260/280 ratio within the satisfactory range of 1.7–1.9, and a DNA Integrity Number (DIN) of 7 or higher to confirm minimal degradation and high genomic quality. A DNA concentration of 20 ng/µL or higher was deemed satisfactory, ensuring adequate template for PCR amplification and avoiding non-specific products 18 . This aligns with Thermo Fisher and Qiagen's recommended range of 10–100 ng/µL for optimal PCR performance 19 , 20 . DNA yield was calculated by multiplying the DNA concentration (µg/mL) by total sample volume (mL). An A260/280 ratio between 1.7 and 1.9 is considered satisfactory as it indicates a balanced level of protein and nucleic acid contamination in the DNA sample. This range suggests that the DNA is relatively pure, with minimal interference from proteins or other contaminants, which is crucial for reliable performance in downstream applications such as PCR and sequencing 21 , 22 . The A260/280 ratio obtained from NanoQuant was used to create three groups as a measurement of DNA quality: low ( 1.9). A DIN of 7 or higher was deemed satisfactory, indicating high genomic DNA quality with minimal degradation and maintained structural integrity. Kong et al. 17 note that this DIN threshold, as measured by the Agilent 2200 TapeStation System, ensures fewer fragmentation events and reliable performance for sequencing and PCR applications. The fragment size (bp) received from the TapeStation analysis was stratified into six groups: 0–10,000, 10,000–20,000, 20,000–30,000, 30,000–40,000, 40,000–50,000, and 50,000–60,000 bp. Due to an error with one of the TapeStation chips, 17 samples from 2007 and 2011 were excluded prior to statistical analysis. Histograms were used to examine the distribution of DNA concentration, ratio, fragment size, and DIN. Boxplots were used to investigate concentration, A260/280 ratio, DIN, and yield in the five time periods. Kruskal-Wallis and Wilcoxon’s tests were used to estimate the significance of differences between groups. Nominal p-values < 0.005 were considered suggestive of an association. Presented p-values remained significant after adjustment for multiple comparisons. R (v4.2.0, The R Foundation, Vienna, Austria; http://www.r-project.org ) was used for data compilation, processing, and analysis. 3. Results 3.1. DNA quantity DNA was isolated from 1012 blood cell samples from five time periods during the DiPiS follow-up period and had been stored for between seven and 21 years. DNA concentrations (ng/µL) and A260/280 ratios were acceptable in samples obtained at all five time periods (Fig. 1 and Table 1a). The DNA concentration ranged from 1.5 to 316.1 ng/µL, with a median value of 68.7 ng/µL, and 981 (96.9%) samples had an acceptable concentration equal to or greater than 20 ng/µL. The lowest and highest concentrations were observed in samples stored for 21 and 7 years, respectively. The highest median concentration was in samples stored for 12 years, while samples stored for 16 years had the lowest median concentration. DNA concentration measurements from NanoQuant Plates in a Tecan Infinite 200 Pro reader were used to calculate DNA yields (Fig. 2 and Table 2 ). DNA yields of samples per storage duration clustered tightly for 7 to 21 years, except for a few outliers (Fig. 2 ). In a pair-wise comparison with samples stored for 7 years as reference, a statistically significant difference in yield was observed in samples stored for 12 and 16 years. Table 1. Characteristics of DNA concentration and A260/280 ratio. a) DNA concentration and A260/280 ratio corresponding to storage duration of blood cell samples and b) DNA concentration stratified by A260/280 ratio distribution. The A260/280 ratio is grouped into low ratio (1.9). Concentrations and A260/280 ratios were measured using NanoQuant Plate in a Tecan Infinite 200 Pro reader. Concentration (ng/µL) A260/280 Sample year Storage duration (years) Sample size Median [IQR] Median [IQR] Low ( 1.9), n (%) 2002–2003 21 200 73.5 [52.7, 98.0] 1.81 [1.8, 1.8] 32 (16.0) 161 (80.5) 7 (3.5) 2007 16 200 54.7 [35.8, 75.8] 1.78 [1.7, 1.8] 38 (19.0) 153 (76.5) 9 (4.5) 2011 12 200 82.0 [58.3, 106.1] 1.82 [1.8, 1.8] 20 (10.0) 170 (85.0) 10 (5.0) 2015 8 200 64.5 [44.2, 87.7] 1.82 [1.8, 1.7] 26 (13.0) 153 (76.5) 21 (10.5) 2016 7 212 66.8 [45.0, 99.6] 1.84 [1.8, 1.9] 36 (17.0) 148 (69.8) 28 (13.2) Overall 7–21 1012 68.7 [46.0, 93.9] 1.81 [1.8, 1.9] 152 (15.0) 785 (77.6) 75 (7.4) A260/280 Low ( 1.9) Overall n (%) Concentration (ng/µL) n Med [IQR] n Med [IQR] n Med [IQR] < 10 1 5.8 [3.6;7.9] 2 7.7 [6.8;8.6] 2 4.2 [4.0;4.3] 5 (0.5) 10–19 10 18.2 [16.3;18.9] 17 16.5 [13.1;18.7] 2 16.4 [15.9;16.9] 29 (2.9) 20–79 102 48.6 [36.6;63.2] 454 57.3 [40.5;68.5] 56 50.2 [41.5;61.7] 612 (60.5) 80–119 23 91.8 [87.0;103.6] 223 96.7 [88.4;106.8] 11 97.1 [90.7;105.7] 257 (25.4) 120–150 11 124.8 [122.2;138.0] 56 127.8 [124.4;138.4] 4 145.1 [142.0;147.3] 71 (7.0) > 150 5 220.2 [170.8;275.5] 33 168.5 [158.0;205.2] 0 NA 38 (3.8) All 152 (%) 54.5 [37.4;81.3] 785 (%) 72.3 [49.5;97.9] 75 (7.4) 55.6 [41.5;74.2] 1012 (100) Table 2 Descriptive statistics of yields. DNA yields were calculated from concentrations measured by NanoQuant Plate in a Tecan Infinite 200 Pro reader. Sample year Storage duration (years) Sample size Mean (SD) blood cell volume (mL) Mean (SD) DNA concentration (ng/µL) per sample Median [IQR] DNA yield (µg) per sample Mean (SD) DNA yield (µg) per sample Mean (SD) DNA yield/mL of blood cells (µg) 2002–2003 21 200* 0.18 (0.068) 78.90 (39.00) 13.73 [8.38, 20.50] 15.40 (10.30) 79.30 (38.80) 2007 16 200 0.24 (0.059) 61.30 (38.80) 11.71 [7.82, 18.95] 14.40 (10.20) 61.30 (38.80) 2011 12 200 0.24 (0.059) 85.10 (37.80) 19.20 [13.77, 25.51] 20.60 (10.90) 85.10 (37.80) 2015 8 200 0.27 (0.060) 70.70 (36.20) 17.01 [11.62, 23.98] 19.60 (13.40) 70.70 (36.20) 2016 7 212 0.25 (0.063) 74.70 (42.20) 17.06 [10.31, 25.30] 19.40 (12.70) 74.70 (42.20) Overall 7–21 1012 0.24 (0.068) 74.10 (39.60) 15.90 [9.87, 23.05] 17.9 (11.80) 74.20 (39.60) * One sample, completely dried−in, was removed during in calculations of yield per mL blood cell sample as initial sample volume was 0 µL . 3.2. DNA purity The A260/280 ratio ranged from 1.0 to 2.4, with a median of 1.8, with a satisfactory ratio (1.7–1.9) obtained in 77.6% of samples (Table 1a). In total, 152 (15.0%) had a low ratio ( 1.9, range: 1.9–2.4). The median ratio was the same for all sample groups. The percentage of samples with a high ratio decreased with increasing time of storage. Most samples with a ratio > 1.9 were very close to being satisfactory, with only a few samples having a much higher ratio. We next investigated DNA concentrations stratified by ratio (Table 1b). Error! Reference source not found. show the distribution of DNA concentration and A260/280 ratio. Overall, most samples had either a concentration of 20–79 ng/µL (612, 60.5%) or 80–119 ng/µL (257, 25.4%). Only 5 (0.5%) had a concentration of less than 10 ng/µL and 38 (3.8%) had a concentration greater than 150 ng/µL. In all groups of low, satisfactory or high ratio, most samples had 20–79 ng/µL followed by 80–119 ng/µL. The least number of samples in each group had either a concentration lower than 10 or greater than 150 (Table 3 ). Table 3 Characteristics of DNA samples with a concentration above 20 ng/µL and a satisfactory or high A260/280 ratio corresponding to sample age. The A260/280 ratio is grouped into a low ratio ( 1.9). Concentrations and A260/280 ratios were measured using NanoQuant Plate in a Tecan Infinite 200 Pro reader. Concentration (ng/µL) A260/280 Sample year Storage duration (years) Sample size Median [IQR] Median [IQR] Satisfactory (1.7–1.9), n (%) High (> 1.9), n (%) 2002–2003 21 164 72.9 [55.8, 96.3] 1.82 [1.79, 1.84] 158 (18.9) 6 (0.7) 2007 16 156 61.7 [40.7, 77.8] 1.8 [1.77, 1.84] 148 (17.7) 8 (1.0) 2011 12 177 85.3 [61.7, 106.7] 1.82 [1.78, 1.85] 167 (20.0) 10 (1.2) 2015 8 171 64.9 [45.4, 88.3] 1.83 [1.8, 1.86] 151 (18.0) 20 (2.4) 2016 7 169 72.3 [52.4, 102.3] 1.85 [1.81, 1.87] 142 (17.0) 27 (3.2) Overall 7–21 837 71.8 [50.8, 96.8] 1.83 [1.79, 1.85] 766 (91.5) 71 (8.5) DNA concentrations and A260/280 ratios stratified by storage duration are presented in Error! Reference source not found. . Pair-wise comparisons of ratios, with samples stored for 7 years (one outlier with ratio 2.4 removed) as the reference, showed no significant difference with samples stored for 8 years but significant differences for samples stored for 21 (p adj = 0.001), 16 (p adj = 5.32e − 06 ), and 12 (p adj = 0.043) years, respectively. An acceptable DNA concentration of at least 20 ng/µL and with either a satisfactory or high A260/280 ratio was observed for 837 (82.7%) samples (Table 3 ). 3.3. DNA quality DNA fragmentation was investigated in 270 (26.7%) samples randomly and evenly selected from the five sample age groups. DIN and fragment size were visualized across the five time periods (Fig. 3 ). Fragment size was divided into three groups (0–19,999, 20,000–39,999, and 40,000–60,000 bp). Most samples had a fragment size over 40,000 bp, and only two samples had a fragment size below 10,000 bp. Five samples had a fragment size > 60,000 bp, which is the maximum fragment size measured by the TapeStation instrument. Pair-wise comparisons with samples stored for 7 years as reference showed significant differences with samples stored for 21 years (p adj = 0.031). A DIN equal to or greater than 7 was observed for 189 (70%) samples (median 7.4; Table 4 ). The median DIN was lowest for samples aged 12 and 21 years. Overall, the integrated area was large for all samples with a median of 97.3%, minimum of 41.6%, and maximum of 100%. Table 4 Characteristics of DNA integrity number (DIN) and fragment size, measured in base pairs (bp), stratified by storage duration. The fragment size is grouped into 0–19 999 bp, 20 000–39 999 bp and 40 000–60 000 bp. Outliers with a DIN value below 5.1 have been removed. DIN’s and fragment sizes were measured by Agilent 2200 TapeStation. DIN Size (bp) Storage duration (years) Sample size Median [IQR] < 7, n (%) 7–10, n (%) Median [IQR] 0–19,999, n (%) 20,000–39,999, n (%) 40,000–60,000, n (%) 21 years 56 7.2 [6.2, 7.6] 21 (37.5) 35 (62.5) 30892 [22026, 44850] 8 (14.3%) 31 (55.4%) 17 (30.4%) 16 years 42 7.6 [7.3, 7.9] 9 (21.4) 33 (78.6) 49605 [28916, 53024] 4 (9.5%) 12 (28.6%) 26 (61.9%) 12 years 52 7.2 [6.6, 8.0] 18 (34.6) 34 (65.4) 30861.5 [23520, 52945] 6 (11.5%) 23 (44.2%) 23 (44.2%) 8 years 60 7.5 [7.0, 7.9] 14 (23.3) 46 (76.7) 31403.5 [26076, 50334] 4 (6.7%) 34 (56.7%) 22 (36.7%) 7 years 60 7.7 [6.8, 8.0] 19 (31.7) 41 (68.3) 39472.5 [26921, 49922] 4 (6.7%) 27 (45.0%) 29 (48.3%) All 270 7.4 [6.8, 7.8] 81 (30.0) 189 (70.0) 35577 [25508, 51093] 26 (9.6) 127 (47.0) 117 (43.3) Shorter fragments (up to 20,000 bp) generally have a lower DIN than longer fragments (Fig. 3 ). The largest median fragment size was observed in 16-year-old samples, while the shortest fragments were observed in 21-year-old samples (2002–2003). The youngest 7-year-old samples had the highest percentage of long fragments (between 40,000 and 60,000 bp), while 21-year-old samples had the lowest percentage of long fragments. 3.4. Evaluation of DNA quality and integrity across storage durations The proportions of samples meeting the predefined acceptability criteria for quantity, purity, and quality are summarized in Table 5. Overall, 75.7% of the 1,012 samples met the criteria for quantity (≥ 20 ng/µL) and purity (A260/280 ratio of 1.7–1.9) (Table 5a). The highest proportion of acceptable samples was found in those stored for 12 years (83.5%), while the lowest was in samples stored for 7 years (67.0%). Among the 270 samples analyzed with the TapeStation, 57.8% met the additional criterion of an acceptable DNA Integrity Number (DIN) of 7 or higher (Table 5b). The highest proportion of these samples was found in those stored for 8 years (61.7%), and the lowest in those stored for 7 years (55.0%). Table 5. Sample proportions meeting predefined acceptability criteria of sufficient quantity and purity and quality. The predefined acceptability criteria include a DNA concentration ≥20 ng/µL and satisfactory A260/280 ratios (1.7-1.9) in a) all samples and b) 270 samples with the additional quality measurement from Tapestation with an acceptable DNA integrity number (DIN) of 7 or higher. 4. Discussion This is arguably not only a paper about sample "mistreatment" but also represents a "real-world" scenario seen in hundreds of research labs around the world where samples (not limited to blood but other biofluids and tissues) are kept as parts of historical research cohorts under less-than-ideal conditions outside formal biobanks with their protocols and governance structures. Times have changed and there is greater awareness of the importance of quality biobanking. Most DNA quality studies have simulated storage conditions and handling. Studies on DNA quality have examined the impact of storage conditions and repeated freeze-thaw cycles. Shao et al. 23 found that repeated freeze-thawing negatively affects DNA stability, leading to degradation, especially after multiple cycles. Similarly, Safarikova et al. 24 assessed the effect of different storage conditions on DNA integrity, concentration, and purity. Both studies emphasize that preserving DNA under optimal conditions is essential for maintaining its integrity and quality, crucial for subsequent analyses like PCR or sequencing​. This study was undertaken to determine the fate of 7500 blood cell samples stored at -20°C for seven to 21 years under less-than-optimal conditions. We investigated the feasibility, quantity, and quality of DNA extraction from these samples. As the capillary blood cell samples were stored adjacent to their corresponding plasma samples, they had been mistreated through an unknown number of freeze-thaw cycles as study analyses have progressed in DiPiS. The concern was that the samples would be too damaged from this mistreatment and that the samples would have to be discarded, prompting investigation of whether they were fit for future analyses. Genomic DNA was isolated from 1012 blood cell samples stored for 7 to 21 years using QIAamp DNA Blood Mini Kits. The results from our study are unique from previous findings as we investigate mistreated samples stored long-term. Previous studies have investigated DNA isolated from blood samples stored for up to a few months in the freezer 4 – 6 , at different temperatures 13 , or the quality of DNA stored for a long time under controlled forms in a biobank 25 . Hara et. al. investigated storage conditions of forensic blood samples and blood stains, and concluded that storage below − 20°C was required to prevent DNA degradation during long-term (20-year) storage 26 . We found that it is possible to isolate satisfactory quality DNA from samples mistreated through repeated freeze-thaw cycles. The median A260/280 ratios were ~ 1.8 across all years of collection, suggesting high DNA purity regardless of the duration of storage. We did not measure the A260/230 ratio, so we could not evaluate the presence of other organic residues. However, any organic residues would likely represent artifacts resulting from the inadequate removal of organic chemicals used in the extraction chemistry and not directly associated with the sample itself. DNA was successfully isolated, relative to the acceptability criteria of ≥ 20 ng/µL, from almost all 978 (96.6%) samples, as 29 (2.9) had a concentration of 10–19 ng/µL and only 5 (0.5%) had a concentration below 10 ng/µL. The A260/280 ratio was satisfactory (1.7–1.9) for 785/1012 (77.6%) samples, indicating that a majority of samples are of satisfactory quality. However, other studies 27 , 28 classify DNA with a ratio between 1.7 and 2.0 as pure. Applying the wider ratio range to this study, only 16 (1.6%) would have an unacceptably high ratio, as many of the samples with a ratio greater than 1.9 had a ratio between 1.9 and 2.0 (Supporting Fig. 1 ). Samples stored for 16 years were notable for having the lowest median ratio, samples stored for 21, 12, and 8 years were similar, and samples stored for 7 years had the highest median ratio. Twelve-year-old samples most commonly had a satisfactory ratio, and there seemed to be a trend of decreasing number of samples with a high ratio with increasing sample age. However, applying a ratio of up to 2.0 as pure, only 7 samples stored for 7 years had a ratio > 2.0. A high ratio (> 1.9) can be caused by RNA contamination 29 , which is very likely here, as the QIAmp Mini spin columns co-purify RNA if it is present. RNase can be added during isolation to remove RNA 16 . Furthermore, the choice of solvent can also affect the DNA absorption 29 , and we used an elution buffer with a pH of 9.0 30 , which increases the A260/280 ratio by 0.2–0.3 compared to the “true” A260/280 ratio 29 . Overall, 152 (15.0%) had a ratio below 1.7, which might indicate the presence of protein or other contaminants, since these absorb strongly around 280 nm 29 . As there was no distinct pattern related to sample year, the low ratio in some samples could be due to sample volume, quality, or isolation method. To further investigate what causes low ratio, the 260/230 ratio could be analyzed, or other isolation methods could be tested. DNA fragmentation is important to assess, as intact DNA fragments are required for high-quality sequencing. Long fragments are more likely to overlap and contain sequences of interest, depending on the project aims, while short fragments are more likely to disrupt the sequence of interest 31 . Different kinds of sequencing require different quality and concentration parameters. For example, sequences > 10 kbp can be generated from long-read sequencing 32 , but to apply this method (e.g., long-read sequencing from Pacific Biosciences), the DNA must have a A260/280 ratio of 1.8-2.0 and a fragment size around 50 kbp 33 . For short-read sequencing, such as next-generation sequencing, the DNA is amplified and fragmented into smaller pieces around 250–800 bp and then sequenced in parallel. For some specific regions of interest, shorter fragment length DNA can be used. In this study, we were most interested in the possibility of isolating DNA with an intact region of interest rather than how long the fragments are, since the region of interest can be amplified 32 . As most of our samples were pure (based on A260/280 ratio) and of satisfactory quality (based on DIN), it is very likely that they can be used in further sequencing analyses. These samples need to be further analyzed for specific regions of interest and in different downstream applications. Supporting Fig. 2 shows that the DIN is not solely determined by fragment size, since some samples of size > 50 000 bp had a DIN below 7. Thus, other quality parameters, such as concentration and A260/280 ratio, should also be considered for individual samples. Nevertheless, we observed a pattern of decreased DIN with fragment size below 30,000 bp. As all groups had a median DIN greater than 7, many samples in our cohort contain high molecular weight DNA. Fragment size was significantly different across the years, but the difference in size between newer and older samples was not so great to assume that isolating DNA from newer samples produces DNA with longer fragments. Most samples with a fragment size between 40,000 and 60,000 bp were observed in samples stored for 12 years. However, 17 samples from the TapeStation were excluded prior to analysis due to an error with the analyzed chip, resulting in fewer results from samples stored for 16 and 21 years. Therefore, comparing the number of samples of a specific fragment size based on year may be misleading. Additional samples from each sample group need to be analyzed to further explore this association. The DNA yield was expected to decrease for older samples and as the samples had been heavily mistreated. However, we did not observe a decrease in DNA yield over time, in contrast to Chen et al. 13 . Even though the sample volumes differed due to clots and dried-in samples were diluted using PBS, which may introduce some error, it is interesting to note that the lowest DNA concentrations were found in samples stored for 21, 16, and 12 years (Fig. 1 A and Table 1a). This could indicate that isolating DNA from older samples carries a greater risk of a low DNA concentration. Overall, assuming blood samples are stored within the desired temperature range at stable conditions, DNA can be extracted from study samples after prolonged storage at -20°. The age of a study participant may influence the number of white blood cells available in the sample 9 , 34 . However, that applies more to adults and later life and is not relevant for the present study. With age progression, the quantity of isolated DNA can decline due to a reduction in the number of leukocytes and lymphocytes 35 . The samples in the present study included only samples from children aged 2–15 years, and we therefore expect no influence on the quantity of DNA according to age. One limitation of this study was the limited and varied sample volumes. QIAamp DNA Mini Blood Kits from Qiagen were the most cost effective and flexible method for this study, as the equipment was already available to us. Other methods of DNA isolation, such as manually extracting DNA using a salting out method 1 or using phenol/chloroform extraction 36 , are more time consuming when isolating DNA from a large number of samples and require much larger sample volumes. The Qiagen kit may not be the best to use if samples are very clotted. A similar study 25 found that the Quick-DNA Miniprep Plus Kit (Zymo Research, Irvine, CA) was most time efficient and produced the highest DNA yields when testing four different kits for extracting DNA from old blood samples, although the Qiagen DNeasy Blood and Tissue Kit resulted in highest quality DNA. These results for only ten samples cannot be fully applied to our study, but it shows how the choice of method affects the outcome. Another limitation is that we did not perform TapeStation measurements to assess DNA integrity for all 1012 samples. However, the large subset of 270 samples provides confidence in the DNA integrity of the entire cohort of isolated DNA from long-term stored blood cell samples. A more comprehensive analysis would include electrophoresis, fluorometry, quantitative PCR, or a long-range PCR. Automated techniques such as TapeStation represent a form of automated electrophoresis where the software compares the result from the sample to a genomic DNA ladder and presents sizes and quantifications as charts and numbers. The advantages of using such a method are that both preparation and analysis are less time consuming and require a much smaller sample volume 37 – 39 . The strength of this project is that the samples were obtained as part of the DiPiS study, in which sample and data collection were performed according to protocol. The quality of the samples in this study prior to freezing was unknown, unlike samples in similar studies. In the DiPiS study, many of the samples were taken at home by the families and not by trained personnel, sent by post to the laboratory and potentially mishandled during storage. To our best knowledge, no other study has investigated DNA isolation from heavily mishandled samples that have been stored for long periods. Another study evaluating the effects of repeated freezing and thawing peripheral blood on DNA yield and integrity detected decrease in yield but no degradation of DNA 40 . Removing plasma from the blood samples in the DiPiS study did not remove any of the pelleted cells, and it is unknown if removing the plasma has a positive or a negative effect on the sample during long-term storage. Future studies will involve testing these samples by genotyping and comparing the results with previous SNP genotyping and Next Generation Sequencing from before storage. This study critically addresses the question that many research labs have: “can I perform modern analyses like Next Generation Sequencing on my historical, old sample cohorts?” The answer is, largely, yes. This study suggests that it is possible to isolate DNA of satisfactory quantity and quality after long-term storage and mistreatment through freeze-thaw cycles of blood cell samples stored separately from their corresponding plasma in capillary tubes at − 20°. Despite the limitations of this study, we found no evidence that DNA integrity worsened by mistreating the samples and with increasing sample age. Whole blood samples and blood cell samples in long-term storage under less-than-optimal conditions can be used in downstream analyses. ABBREVIATIONS DIN DNA integrity number DiPiS Diabetes Prediction in Skåne Declarations Acknowledgements The authors are indebted to the children and their families that have participated in the Diabetes Prediction in Skåne study. CrediT authorship contribution statement Agnes Andersson Svärd: Conceptualization, Investigation, Methodology, Validation, Formal analysis, Data curation, Writing – original draft, Writing – review & editing, Visualization, Project administration, Supervision. Ida Jönsson: Conceptualization, Investigation, Methodology, Validation, Writing – review & editing, Visualization, Project administration, Supervision. Ellen Viberg: Investigation, Methodology, Validation, Formal analysis, Writing – review & editing. India von Platen: Investigation, Methodology, Validation, Formal analysis, Writing – review & editing. Markus Lundgren: Conceptualization, Investigation, Writing – review & editing, Visualization, Funding acquisition, Resources, Supervision. Data availability statement All required data will be available with the corresponding author upon reasonable request if also conforming to existing data protection regulation Compliance with ethical standards The samples analyzed in this study were collected as part of the DiPiS study at Lund University. The DiPiS study was approved by the Regional Ethical Review Board in Lund (Dnr 2009/244, Dnr 2014/196, Dnr 2015/861and Dnr 2019-03222) and complied with institutional and national research ethics standards including the 1964 Helsinki declaration and its later amendments or comparable ethical standards. In the DiPiS study, initiated in 2000 41,42 , application of a eutectic mixture of lidocaine cream preceded blood draws to reduce pain. Informed consent was obtained from the parents of the research subjects to participate in the present cross-sectional follow-up investigation Additional information Competing Interests Statement The author(s) declare no competing interests. Funding This work was supported by grants from the Swedish Childhood Diabetes Foundation, Swedish Diabetes Association, SUS funds, Lions Club International District 101-s, SUS Foundations, the Skåne County Council Foundation for Research and Development, Kristianstad Central Hospital Committee for Research and Development, The Strategic Research Area Exodiab (Dnr 2009–1039) and The Swedish Foundation for Strategic Research (Dnr IRC15-0067). The funding sources had no role in the study design, sample collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication. References Miller, S. A., Dykes, D. D. & Polesky, H. F. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 16 , 1215 (1988). https://doi.org/10.1093/nar/16.3.1215 Griffiths, L. & Chacon-Cortes, D. Methods for extracting genomic DNA from whole blood samples: current perspectives. 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Genomic DNA extraction from whole blood stored from 15- to 30-years at -20 °C by rapid phenol-chloroform protocol: a useful tool for genetic epidemiology studies. Mol Cell Probes 25 , 44-48 (2011). https://doi.org/10.1016/j.mcp.2010.10.003 Chen, W. C. et al. The Integrity and Yield of Genomic DNA Isolated from Whole Blood Following Long-Term Storage at -30°C. Biopreserv Biobank 16 , 106-113 (2018). https://doi.org/10.1089/bio.2017.0050 Schröder, C. & Steimer, W. gDNA extraction yield and methylation status of blood samples are affected by long-term storage conditions. PLOS ONE 13 , e0192414 (2018). https://doi.org/10.1371/journal.pone.0192414 Lundgren, M. et al. Reduced morbidity at diagnosis and improved glycemic control in children previously enrolled in DiPiS follow-up. Pediatr Diabetes 15 , 494-501 (2014). https://doi.org/10.1111/pedi.12151 QIAGEN. QIAamp® DNA Mini and Blood Mini Handbook. , (QIAGEN, 2024). Kong N, N. W., Cai L, Leonardo A, Weimer B. Integrating the DNA Integrity Number (DIN) to Assess Genomic DNA (gDNA) Quality Control Using the Agilent 2200 TapeStation System. (2014). Kirby, L. DNA Fingerprinting: An Introduction . (M. Stockton Press, 1990). Qiagen. How much DNA is obtained in the average PCR reaction? , (n.d.). Scientific, T. F. PCR Setup—Six Critical Components to Consider , (n.d.). Qiagen. Quantification of DNA , (n.d.). Sambrook, J., & Russell, D. W. Molecular Cloning: A Laboratory Manual . (Cold Spring Harbor Laboratory Press, 2001). Shao, W., Khin, S. & Kopp, W. C. Characterization of Effect of Repeated Freeze and Thaw Cycles on Stability of Genomic DNA Using Pulsed Field Gel Electrophoresis. Biopreservation and Biobanking 10 , 4-11 (2012). https://doi.org/10.1089/bio.2011.0016 Safarikova, M., Kubena, A. A., Frankova, V., Zima, T. & Kalousova, M. The Effects of Different Storage Conditions and Repeated Freeze/Thaw Cycles on the Concentration, Purity and Integrity of Genomic DNA. Folia Biol (Praha) 67 , 10-15 (2021). Tagliaferro, S. S., Zejnelagic, A., Farrugia, R. & Wettinger, S. B. Comparison of DNA extraction methods for samples from old blood collections. Biotechniques 70 , 243-250 (2021). https://doi.org/10.2144/btn-2020-0113 Hara, M., Nakanishi, H., Yoneyama, K., Saito, K. & Takada, A. Effects of storage conditions on forensic examinations of blood samples and bloodstains stored for 20 years. Leg Med (Tokyo) 18 , 81-84 (2016). https://doi.org/10.1016/j.legalmed.2016.01.003 Wang, T. Y., Wang, L., Zhang, J. H. & Dong, W. H. A simplified universal genomic DNA extraction protocol suitable for PCR. Genet Mol Res 10 , 519-525 (2011). https://doi.org/10.4238/vol10-1gmr1055 Guha, P., Das, A., Dutta, S. & Chaudhuri, T. K. A rapid and efficient DNA extraction protocol from fresh and frozen human blood samples. J Clin Lab Anal 32 (2018). https://doi.org/10.1002/jcla.22181 Lucena-Aguilar, G. et al. DNA Source Selection for Downstream Applications Based on DNA Quality Indicators Analysis. Biopreserv Biobank 14 , 264-270 (2016). https://doi.org/10.1089/bio.2015.0064 QIAGEN. What is the composition of buffer AE? , (2023). Shendure, J. et al. DNA sequencing at 40: past, present and future. Nature 550 , 345-353 (2017). https://doi.org/10.1038/nature24286 Hu, T., Chitnis, N., Monos, D. & Dinh, A. Next-generation sequencing technologies: An overview. Hum Immunol 82 , 801-811 (2021). https://doi.org/10.1016/j.humimm.2021.02.012 Pacific Biosciences of California. Template Preparation and Sequencing Guide . (Pacific Biosciences of California, 2010). Mychaleckyj, J. C. et al. Buffy coat specimens remain viable as a DNA source for highly multiplexed genome-wide genetic tests after long term storage. J Transl Med 9 , 91 (2011). https://doi.org/10.1186/1479-5876-9-91 Erkeller-Yuksel, F. M. et al. Age-related changes in human blood lymphocyte subpopulations. J Pediatr 120 , 216-222 (1992). https://doi.org/10.1016/s0022-3476(05)80430-5 Javadi, A. et al. Qualification study of two genomic DNA extraction methods in different clinical samples. Tanaffos 13 , 41-47 (2014). Rapley, R. in Principles and Techniques of Biochemistry and Molecular Biology (ed Walker J Wilson K) (Cambridge University Press, 2010). Fernández, C. & Alonso, A. Microchip capillary electrophoresis protocol to evaluate quality and quantity of mtDNA amplified fragments for DNA sequencing in forensic genetics. Methods Mol Biol 830 , 367-379 (2012). https://doi.org/10.1007/978-1-61779-461-2_25 Gupta, N. DNA Extraction and Polymerase Chain Reaction. J Cytol 36 , 116-117 (2019). https://doi.org/10.4103/joc.Joc_110_18 Ross, K. S., Haites, N. E. & Kelly, K. F. Repeated freezing and thawing of peripheral blood and DNA in suspension: effects on DNA yield and integrity. J Med Genet 27 , 569-570 (1990). https://doi.org/10.1136/jmg.27.9.569 Larsson, H. E. et al. Diabetes-associated HLA genotypes affect birthweight in the general population. Diabetologia 48 , 1484-1491 (2005). https://doi.org/10.1007/s00125-005-1813-4 Larsson, K. et al. Genetic and perinatal factors as risk for childhood type 1 diabetes. Diabetes/Metabolism Research and Reviews 20 , 429-437 (2004). https://doi.org/10.1002/dmrr.506 Additional Declarations No competing interests reported. Supplementary Files Supportinginformation.pdf Cite Share Download PDF Status: Published Journal Publication published 15 Jul, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 05 Dec, 2024 Reviews received at journal 04 Dec, 2024 Reviews received at journal 25 Nov, 2024 Reviewers agreed at journal 18 Nov, 2024 Reviewers agreed at journal 18 Nov, 2024 Reviewers invited by journal 10 Nov, 2024 Editor assigned by journal 10 Nov, 2024 Editor invited by journal 20 Oct, 2024 Submission checks completed at journal 16 Oct, 2024 First submitted to journal 30 Sep, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5178790","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":366698585,"identity":"197db20e-a1fb-482a-9c41-70a56795817b","order_by":0,"name":"Agnes Andersson Svärd","email":"data:image/png;base64,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","orcid":"","institution":"Lund University","correspondingAuthor":true,"prefix":"","firstName":"Agnes","middleName":"Andersson","lastName":"Svärd","suffix":""},{"id":366698586,"identity":"fb3e8f6c-d061-4ea8-9e7a-d52a510ce0f0","order_by":1,"name":"Ellen Viberg","email":"","orcid":"","institution":"Lund University","correspondingAuthor":false,"prefix":"","firstName":"Ellen","middleName":"","lastName":"Viberg","suffix":""},{"id":366698587,"identity":"4ae46901-2804-4015-b06d-79fffb93ef79","order_by":2,"name":"India von Platen","email":"","orcid":"","institution":"Lund University","correspondingAuthor":false,"prefix":"","firstName":"India","middleName":"","lastName":"von Platen","suffix":""},{"id":366698588,"identity":"7fd8a014-c1bc-4077-8d4e-71d2b086b8e9","order_by":3,"name":"Ida Jönsson","email":"","orcid":"","institution":"Lund University","correspondingAuthor":false,"prefix":"","firstName":"Ida","middleName":"","lastName":"Jönsson","suffix":""},{"id":366698591,"identity":"26cc944c-6302-48a5-a6c2-1d8dcc2205ee","order_by":4,"name":"Markus Lundgren","email":"","orcid":"","institution":"Lund University","correspondingAuthor":false,"prefix":"","firstName":"Markus","middleName":"","lastName":"Lundgren","suffix":""}],"badges":[],"createdAt":"2024-09-30 07:53:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5178790/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5178790/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-08257-y","type":"published","date":"2025-07-15T16:05:36+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":66944185,"identity":"dd06dced-0e1f-4acf-8d39-b412ebe2bebc","added_by":"auto","created_at":"2024-10-18 09:33:39","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":64080,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDNA concentration (ng/μL) (a) and A260/280\u003c/strong\u003e \u003cstrong\u003eratio (b) of 1012 DNA samples in the DiPiS study stratified by the years they were obtained.\u003c/strong\u003e The colours (red, green, blue) corresponds to a low ratio (\u0026lt;1.7), ratio within satisfactory range (1.7-1.9) and high ratio (\u0026gt;1.9), respectively. In (b), an outlier with ratio 2.4 has been removed from the sample age of 7 years. Kruskal-Wallis test (p\u003csub\u003eglobal\u003c/sub\u003e = 1.2e\u003csup\u003e-06\u003c/sup\u003e) suggest a significant difference between the groups. Pair-wise comparison of ratio, with samples stored for 7 years as reference showed a significant difference with samples stored for 21 (p\u003csub\u003eadj\u003c/sub\u003e = 0.001), 16 (p\u003csub\u003eadj\u003c/sub\u003e = 5.32e-06) and 12 (p\u003csub\u003eadj\u003c/sub\u003e = 0.043) years, respectively. Concentrations and A260/280 ratios were measured by NanoQuant Plate in a Tecan Infinite 200 Pro reader.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5178790/v1/528a7f6c22a98b45e57a32f6.png"},{"id":66943920,"identity":"42802464-c555-482b-865e-4eef0ef46efc","added_by":"auto","created_at":"2024-10-18 09:25:39","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":18967,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDNA yield (µg) per 1 mL of blood cell sample. Range and distribution of DNA yields per 1 mL of blood cells isolated from frozen blood cell samples stored over 7-21 years at -20°C during which they have been heavily mistreated\u003c/strong\u003e. In pair-wise comparisons with the samples stored for 7 years as reference, a statistically significant difference in yield was observed in samples stored for 12 and 16 years. DNA yields were calculated from concentrations measured by NanoQuant Plate in a Tecan Infinite 200 Pro reader.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5178790/v1/d8461e4acc56aff3bdb19de3.png"},{"id":66943922,"identity":"69a7fe7e-0535-46fd-8feb-cdd48c662a26","added_by":"auto","created_at":"2024-10-18 09:25:39","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":54974,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDNA integrity number (DIN) measured in base pairs (bp), stratified by storage duration and colored by fragment size.\u003c/strong\u003e Outliers with a DIN value below 5.1 have been removed. Kruskal-Wallis test (p\u003csub\u003eglobal\u003c/sub\u003e = 0.032) suggest a significant difference between the groups. Pair-wise comparison with samples stored for 7 years as reference showed significant difference with samples stored for 21 years (p\u003csub\u003eadj\u003c/sub\u003e = 0.031). DIN’s and fragment sizes were measured by Agilent 2200 TapeStation.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-5178790/v1/37b109b75803f6e8d179ec3e.png"},{"id":87220313,"identity":"93277acd-6e0d-490c-a7d2-589d7c4fcf12","added_by":"auto","created_at":"2025-07-21 16:11:39","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1757686,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5178790/v1/8f1d2666-1bc4-4509-8ad4-3767cdaaa30d.pdf"},{"id":66943919,"identity":"01867b29-4648-493c-9949-0fa01a7ad01d","added_by":"auto","created_at":"2024-10-18 09:25:39","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":619176,"visible":true,"origin":"","legend":"","description":"","filename":"Supportinginformation.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5178790/v1/b8c5d9b12619d45ee24b6e22.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Feasibility of Extracting Usable DNA from Blood Samples Stored up to 21 Years in the DiPiS Study ","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eWhole blood is a common source of high quantity and quality DNA for molecular applications due to its relative ease of acquisition \u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e. Blood samples are routinely collected in research studies and biobanking efforts across the globe, including for clinical and epidemiological studies, that can be, or have been, stored for years. DNA yield is directly correlated to the blood volume available for DNA isolation \u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. Many factors can affect the quality of DNA isolated from blood samples, such as collection method, type of collection tube, thawing and re-freezing, transportation, and storage time and facilities \u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. Several studies have examined the effects of different storage methods on blood sample condition when used \u003csup\u003e\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e, and storage temperature and duration affect DNA quality and yield \u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e. Provided that the correct blood collection tubes have been used, blood samples stored at 4\u0026deg;C for a short period will still yield DNA of acceptable quality \u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e,\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e; indeed, high concentrations of satisfactory quality DNA can be isolated from blood samples stored for eight weeks at 4\u0026deg;C or below in the presence of EDTA or heparin \u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e. Overall, however, the desired temperature for long-term storage of whole blood samples destined for DNA isolation is \u0026minus;\u0026thinsp;80\u0026deg;C \u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. Whole blood samples can also be frozen at \u0026minus;\u0026thinsp;20\u0026deg;C long-term \u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e,\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e, but DNA yields tend to be lower at this temperature \u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. Di Pietro et al. showed that whole blood samples stored long-term at \u0026minus;\u0026thinsp;20\u0026deg;C yielded high-quality DNA for genotyping studies \u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e, while Chen et. al. concluded that storing blood samples long-term for between two and 19 years at \u0026minus;\u0026thinsp;30\u0026deg;C did not affect the quantity and quality of DNA \u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eNevertheless, unforeseen events occurring during long-term storage of study samples, such as malfunctioning storage facilities or freezers or repeated freeze-thaw cycles, might affect sample quality and hence the DNA yield and quality. Few studies have investigated DNA isolated from samples stored long-term that have been heavily mistreated through thawing and freezing. Long-term storage is a necessity when samples are not immediately processed and analysed, so it is important to determine the effects of long-term storage on DNA yield and quality \u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eHere we analyse a unique cohort of samples mistreated while in long-term storage. In the Diabetes Prediction in Sk\u0026aring;ne (DiPiS) study, children donated a capillary blood sample for autoantibody analysis annually. Throughout the study, plasma was removed and stored separately from, but adjacent to, its corresponding blood cells. The blood cell samples were thawed and refrozen an unknown number of times when plasma samples were used for autoantibody analyses, but the blood cell samples have yet to be used in any analysis. This set of 7500 blood cell samples could potentially be incredibly valuable scientifically as they are part of the DiPiS cohort, representing a considerable amount of work, dedication, and time from both families and staff participating in the study over many years.\u003c/p\u003e \u003cp\u003eTherefore, the aim of this study was to determine whether DNA of satisfactory quality could be isolated from capillary blood samples in long-term storage in DiPiS. DNA obtained from old samples and samples stored under less-than-optimal conditions could provide invaluable data for studies with large sample collections in long-term storage.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Study samples\u003c/h2\u003e \u003cp\u003eDiPiS was a prospective, population-based cohort study that investigated the genetic and environmental factors contributing to, or triggering, the development of type 1 diabetes. Between September 2000 and August 2004, newborns in Sk\u0026aring;ne were screened for risk of developing type 1 diabetes. Children at increased risk of type 1 diabetes were invited to participate in follow-up from two to 15 years of age or until diabetes onset, whichever occurred first \u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eDuring follow-up, the children donated capillary blood samples for autoantibody analyses each year. If the children developed two or more autoantibodies, they were followed four times per year and had their sample drawn by a study nurse.\u003c/p\u003e \u003cp\u003eFor each annual follow-up, a blood sample test kit containing a 0.5 mL EDTA capillary blood collection test tubes (BD, Franklin Lakes, NJ) were sent to the participant, and the blood was drawn either by their primary health care provider or by the parents at home. The sample was sent to the laboratory by post at room temperature. The time between blood draw and arrival at the laboratory could be up to seven days but was usually between one and three days.\u003c/p\u003e \u003cp\u003eOnce a blood sample arrived at the laboratory, the plasma was separated from the blood in the capillary EDTA tube. Samples were placed in boxes in the order they arrived at the laboratory and stored in multiple \u0026minus;\u0026thinsp;20\u0026deg;C freezers at our research facilities. The blood cells have been stored for up to 21 years and have been thawed an unknown number of times due to malfunctioning storage facilities (such as freezers breaking down). There is no kept record of when or which freezer has broken down over the years. Sample boxes have been moved between freezers and physically taken out of the freezers for autoantibody analyses as blood cell samples are stored adjacent to its corresponding plasma sample. Boxes physically removed from the freezers when selecting samples for autoantibody analyses subjected the blood cell samples to room temperature and freeze-thaw cycles, due to low sample volumes that thaw easily. Boxes that remained in the freezers were subjected to relatively minor insults related to opening the freezer and finding samples in different boxes.\u003c/p\u003e \u003cp\u003eOf the 7500 blood samples saved in DiPiS, 1012 samples were randomly selected for evaluation in the current study. 478/1012 (47.2%) were from females. The samples were randomly selected from different boxes for each of the five time periods during the DiPiS follow-up: late 2002 to early 2003, 2007, 2011, 2015, and 2016. From each time period, 200 samples were randomly selected, except for 2016 where 212 samples were selected.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. DNA isolation\u003c/h2\u003e \u003cp\u003eDNA was isolated from thawed samples using QIAamp DNA Blood Mini Kits (Qiagen, Hilden, Germany) according to the manufacturer\u0026rsquo;s instructions \u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e, with minor modifications. Briefly, the QIAamp DNA Blood Mini Kit protocol was optimized using fresh whole blood collected in EDTA tubes, from which plasma was removed prior to overnight storage at -20\u0026deg;C. The volume of the study samples varied from \u0026lt;\u0026thinsp;10 \u0026micro;L to 500 \u0026micro;L. As reagent volumes used in the protocol are based on sample volume, samples with volumes\u0026thinsp;\u0026lt;\u0026thinsp;250 \u0026micro;L were diluted to 250 \u0026micro;L with phosphate-buffered saline (PBS) prior to adding Qiagen protease and lysis buffer to ensure consistency with the study samples. To ensure no wastage and optimum yield, the entire blood volume in a tube was used for DNA extraction. If a sample volume was \u0026gt;\u0026thinsp;250 \u0026micro;L, the sample was loaded onto the column in two steps. The sample mixture was first transferred from the EDTA tube to the microcentrifuge tube by pipette but was later poured into the microcentrifuge instead to minimize sample loss and unnecessary use of pipette tips. However, for some samples, it was difficult to avoid transferring large clots to the column. Using a pipette, we avoided large clots, which improved the elution step and avoided clogging the filter, which could impact elution and decrease DNA quality and quantity. The sample was mixed with Qiagen protease and lysis buffer by pulse vortexing (Vortex-genie 2, Scientific Industries, Bohemia, NY) for 15 seconds. In this way, dried blood and clots were eventually dissolved in the lysis buffer through vortexing.\u003c/p\u003e \u003cp\u003eProtease and lysis buffer were added directly into the 0.5 mL EDTA tube, instead of first transferring the sample to a microcentrifuge tube, to minimize the risk of leaving residual dried blood in the tube. The isolated DNA was stored at -20\u0026deg;C.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. DNA analysis and quantification\u003c/h2\u003e \u003cp\u003eDNA was quantified by applying 2 \u0026micro;l of each sample to a NanoQuant Plate and reading on the Tecan Infinite 200 Pro instrument (Tecan, M\u0026auml;nnedorf, Switzerland). Raw absorbance data were obtained at 260, 280, and 310 nm, and blanked absorbance data were obtained at 260 and 280 nm. DNA concentration (ng/\u0026micro;L) and A260/280 ratio were calculated using i-control\u0026trade; Microplate Reader Software (i-control 2.0, Tecan).\u003c/p\u003e \u003cp\u003eAn Agilent 2200 TapeStation (Agilent Technologies, Santa Clara, CA) was used for quality control and to evaluate DNA fragmentation in 270 of the DNA samples selected randomly but evenly from the five time periods. All samples with DNA concentrations\u0026thinsp;\u0026gt;\u0026thinsp;100 ng/\u0026micro;L were diluted in elution buffer to a concentration between 10 and 100 ng/\u0026micro;L. Samples were prepared and analyzed according to instructions (Genomic DNA ScreenTape Assay, Agilent Technologies). Gel pictures, DNA sizing, and calculation of DNA integrity number (DIN) were performed by the TapeStation Analysis Software (A.02.01, Agilent Technologies).\u003c/p\u003e \u003cp\u003eDNA quality was evaluated from each sample based on the % integrated area around the bp peak. The peaks and integrated area were automatically detected and set during analysis and manually checked during data analysis. Peaks were eliminated by fragment size (\u0026lt;\u0026thinsp;3000 bp) and integrated area (\u0026lt;\u0026thinsp;2). The software algorithm classifies DNA by the DIN, which is scaled 1\u0026ndash;10 based on the level of degradation, where 1 is the most degraded and 10 is the least degraded \u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e. A DIN\u0026thinsp;\u0026gt;\u0026thinsp;7 is accepted as high molecular weight DNA. In an Agilent study, a sample with DIN 9.2 and fragment size of 53,929 bp is seen as intact \u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Statistical analyses\u003c/h2\u003e \u003cp\u003eDescriptive statistics were compiled by years of storage. Medians and inter-quartile ranges were calculated for DNA concentrations, A260/280 and DNA yields, blood volume available per sample, and DNA yield per milliliter of blood. Medians were compiled as the data were not normally distributed.\u003c/p\u003e \u003cp\u003eDNA quantity and quality were investigated in groups defined by the five time periods from which the samples originated (2002\u0026ndash;2003, 2007, 2011, 2015, and 2016). The acceptability criteria of sufficient quantity, purity and quality for DNA samples included a concentration of at least 20 ng/\u0026micro;L to ensure sufficient template for PCR amplification, a purity indicated by an A260/280 ratio within the satisfactory range of 1.7\u0026ndash;1.9, and a DNA Integrity Number (DIN) of 7 or higher to confirm minimal degradation and high genomic quality.\u003c/p\u003e \u003cp\u003eA DNA concentration of 20 ng/\u0026micro;L or higher was deemed satisfactory, ensuring adequate template for PCR amplification and avoiding non-specific products \u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e. This aligns with Thermo Fisher and Qiagen's recommended range of 10\u0026ndash;100 ng/\u0026micro;L for optimal PCR performance \u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e,\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e. DNA yield was calculated by multiplying the DNA concentration (\u0026micro;g/mL) by total sample volume (mL).\u003c/p\u003e \u003cp\u003eAn A260/280 ratio between 1.7 and 1.9 is considered satisfactory as it indicates a balanced level of protein and nucleic acid contamination in the DNA sample. This range suggests that the DNA is relatively pure, with minimal interference from proteins or other contaminants, which is crucial for reliable performance in downstream applications such as PCR and sequencing \u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e,\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe A260/280 ratio obtained from NanoQuant was used to create three groups as a measurement of DNA quality: low (\u0026lt;\u0026thinsp;1.7), satisfactory (1.7\u0026ndash;1.9), and high (\u0026gt;\u0026thinsp;1.9).\u003c/p\u003e \u003cp\u003eA DIN of 7 or higher was deemed satisfactory, indicating high genomic DNA quality with minimal degradation and maintained structural integrity. Kong et al. \u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e note that this DIN threshold, as measured by the Agilent 2200 TapeStation System, ensures fewer fragmentation events and reliable performance for sequencing and PCR applications.\u003c/p\u003e \u003cp\u003eThe fragment size (bp) received from the TapeStation analysis was stratified into six groups: 0\u0026ndash;10,000, 10,000\u0026ndash;20,000, 20,000\u0026ndash;30,000, 30,000\u0026ndash;40,000, 40,000\u0026ndash;50,000, and 50,000\u0026ndash;60,000 bp. Due to an error with one of the TapeStation chips, 17 samples from 2007 and 2011 were excluded prior to statistical analysis.\u003c/p\u003e \u003cp\u003eHistograms were used to examine the distribution of DNA concentration, ratio, fragment size, and DIN. Boxplots were used to investigate concentration, A260/280 ratio, DIN, and yield in the five time periods. Kruskal-Wallis and Wilcoxon\u0026rsquo;s tests were used to estimate the significance of differences between groups. Nominal p-values\u0026thinsp;\u0026lt;\u0026thinsp;0.005 were considered suggestive of an association. Presented p-values remained significant after adjustment for multiple comparisons. R (v4.2.0, The R Foundation, Vienna, Austria; \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.r-project.org\u003c/span\u003e\u003cspan address=\"http://www.r-project.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) was used for data compilation, processing, and analysis.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003e3.1. DNA quantity\u003c/h2\u003e\n \u003cp\u003eDNA was isolated from 1012 blood cell samples from five time periods during the DiPiS follow-up period and had been stored for between seven and 21 years. DNA concentrations (ng/\u0026micro;L) and A260/280 ratios were acceptable in samples obtained at all five time periods (Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e and Table 1a). The DNA concentration ranged from 1.5 to 316.1 ng/\u0026micro;L, with a median value of 68.7 ng/\u0026micro;L, and 981 (96.9%) samples had an acceptable concentration equal to or greater than 20 ng/\u0026micro;L. The lowest and highest concentrations were observed in samples stored for 21 and 7 years, respectively. The highest median concentration was in samples stored for 12 years, while samples stored for 16 years had the lowest median concentration.\u003c/p\u003e\n \u003cp\u003eDNA concentration measurements from NanoQuant Plates in a Tecan Infinite 200 Pro reader were used to calculate DNA yields (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). DNA yields of samples per storage duration clustered tightly for 7 to 21 years, except for a few outliers (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). In a pair-wise comparison with samples stored for 7 years as reference, a statistically significant difference in yield was observed in samples stored for 12 and 16 years.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1. Characteristics of DNA concentration and A260/280 ratio. a) DNA concentration and A260/280 ratio corresponding to storage duration of blood cell samples and b) DNA concentration stratified by A260/280 ratio distribution.\u003c/strong\u003e The A260/280 ratio is grouped into low ratio (\u0026lt;1.7), ratio within satisfactory range (1.7-1.9) and high ratio (\u0026gt;1.9). Concentrations and A260/280 ratios were measured using NanoQuant Plate in a Tecan Infinite 200 Pro reader.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Taba\" border=\"1\"\u003e\n \u003ccolgroup cols=\"17\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eConcentration (ng/\u0026micro;L)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colspan=\"8\"\u003e\n \u003cp\u003eA260/280\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSample year\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eStorage duration (years)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eSample size\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eMedian [IQR]\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMedian [IQR]\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eLow (\u0026lt;\u0026thinsp;1.7), n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eSatisfactory (1.7\u0026ndash;1.9), n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eHigh (\u0026gt;\u0026thinsp;1.9), n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2002\u0026ndash;2003\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e73.5 [52.7, 98.0]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.81 [1.8, 1.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e32 (16.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e161 (80.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7 (3.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2007\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e54.7 [35.8, 75.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.78 [1.7, 1.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e38 (19.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e153 (76.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e9 (4.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2011\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e82.0 [58.3, 106.1]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.82 [1.8, 1.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e20 (10.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e170 (85.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e10 (5.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2015\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e64.5 [44.2, 87.7]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.82 [1.8, 1.7]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e26 (13.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e153 (76.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e21 (10.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2016\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e212\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e66.8 [45.0, 99.6]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.84 [1.8, 1.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e36 (17.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e148 (69.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e28 (13.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7\u0026ndash;21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e68.7 [46.0, 93.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.81 [1.8, 1.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e152 (15.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e785 (77.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e75 (7.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"11\"\u003e\n \u003cp\u003e\u003cstrong\u003eA260/280\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eLow (\u0026lt;\u0026thinsp;1.7)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eSatisfactory (1.7\u0026ndash;1.9)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigh (\u0026gt;\u0026thinsp;1.9)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003en (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eConcentration (ng/\u0026micro;L)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed [IQR]\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed [IQR]\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eMed [IQR]\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;\u0026thinsp;10\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e5.8 [3.6;7.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e7.7 [6.8;8.6]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e4.2 [4.0;4.3]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e5 (0.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e10\u0026ndash;19\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e18.2 [16.3;18.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e16.5 [13.1;18.7]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e16.4 [15.9;16.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e29 (2.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e20\u0026ndash;79\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e48.6 [36.6;63.2]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e454\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e57.3 [40.5;68.5]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e50.2 [41.5;61.7]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e612 (60.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e80\u0026ndash;119\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e91.8 [87.0;103.6]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e223\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e96.7 [88.4;106.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e97.1 [90.7;105.7]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e257 (25.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e120\u0026ndash;150\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e124.8 [122.2;138.0]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e127.8 [124.4;138.4]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e145.1 [142.0;147.3]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e71 (7.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026gt;\u0026thinsp;150\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e220.2 [170.8;275.5]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e168.5 [158.0;205.2]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eNA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e38 (3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e\u003cstrong\u003eAll\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e152 (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e54.5 [37.4;81.3]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e785 (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e72.3 [49.5;97.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e75 (7.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e55.6 [41.5;74.2]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1012 (100)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"1\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003e\u003cstrong\u003eDescriptive statistics of yields.\u003c/strong\u003e DNA yields were calculated from concentrations measured by NanoQuant Plate in a Tecan Infinite 200 Pro reader.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"8\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSample year\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eStorage duration (years)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSample size\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean (SD) blood cell volume (mL)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean (SD) DNA concentration (ng/\u0026micro;L) per sample\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMedian [IQR] DNA yield (\u0026micro;g) per sample\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean (SD) DNA yield (\u0026micro;g) per sample\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMean (SD) DNA yield/mL of blood cells (\u0026micro;g)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2002\u0026ndash;2003\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e200*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.18 (0.068)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e78.90 (39.00)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.73 [8.38, 20.50]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.40 (10.30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e79.30 (38.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2007\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.24 (0.059)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e61.30 (38.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.71 [7.82, 18.95]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.40 (10.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e61.30 (38.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2011\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.24 (0.059)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e85.10 (37.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.20 [13.77, 25.51]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.60 (10.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e85.10 (37.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2015\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.27 (0.060)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70.70 (36.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.01 [11.62, 23.98]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.60 (13.40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e70.70 (36.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2016\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e212\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.25 (0.063)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74.70 (42.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.06 [10.31, 25.30]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.40 (12.70)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74.70 (42.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u0026ndash;21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.24 (0.068)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74.10 (39.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.90 [9.87, 23.05]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.9 (11.80)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e74.20 (39.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003csup\u003e* One sample, completely dried\u0026minus;in, was removed during in calculations of yield per mL blood cell sample as initial sample volume was 0 \u0026micro;L\u003c/sup\u003e.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\n \u003ch2\u003e3.2. DNA purity\u003c/h2\u003e\n \u003cp\u003eThe A260/280 ratio ranged from 1.0 to 2.4, with a median of 1.8, with a satisfactory ratio (1.7\u0026ndash;1.9) obtained in 77.6% of samples (Table\u0026nbsp;1a). In total, 152 (15.0%) had a low ratio (\u0026lt;\u0026thinsp;1.7, range: 0.96\u0026ndash;1.7), 785 (77.6%) had a satisfactory ratio (1.7\u0026ndash;1.9), and 75 (7.4%) had a high ratio (\u0026gt;\u0026thinsp;1.9, range: 1.9\u0026ndash;2.4). The median ratio was the same for all sample groups. The percentage of samples with a high ratio decreased with increasing time of storage. Most samples with a ratio\u0026thinsp;\u0026gt;\u0026thinsp;1.9 were very close to being satisfactory, with only a few samples having a much higher ratio.\u003c/p\u003e\n \u003cp\u003eWe next investigated DNA concentrations stratified by ratio (Table 1b). \u003cstrong\u003eError! Reference source not found.\u003c/strong\u003e show the distribution of DNA concentration and A260/280 ratio. Overall, most samples had either a concentration of 20\u0026ndash;79 ng/\u0026micro;L (612, 60.5%) or 80\u0026ndash;119 ng/\u0026micro;L (257, 25.4%). Only 5 (0.5%) had a concentration of less than 10 ng/\u0026micro;L and 38 (3.8%) had a concentration greater than 150 ng/\u0026micro;L. In all groups of low, satisfactory or high ratio, most samples had 20\u0026ndash;79 ng/\u0026micro;L followed by 80\u0026ndash;119 ng/\u0026micro;L. The least number of samples in each group had either a concentration lower than 10 or greater than 150 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristics of DNA samples with a concentration above 20 ng/\u0026micro;L and a satisfactory or high A260/280 ratio corresponding to sample age.\u003c/strong\u003e The A260/280 ratio is grouped into a low ratio (\u0026lt;\u0026thinsp;1.7), a ratio within the satisfactory range (1.7\u0026ndash;1.9) and a high ratio (\u0026gt;\u0026thinsp;1.9). Concentrations and A260/280 ratios were measured using NanoQuant Plate in a Tecan Infinite 200 Pro reader.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"7\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eConcentration (ng/\u0026micro;L)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eA260/280\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSample year\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eStorage duration (years)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSample size\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMedian [IQR]\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMedian [IQR]\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSatisfactory (1.7\u0026ndash;1.9), n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eHigh (\u0026gt;\u0026thinsp;1.9), n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2002\u0026ndash;2003\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e164\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.9 [55.8, 96.3]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.82 [1.79, 1.84]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e158 (18.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (0.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2007\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e156\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e61.7 [40.7, 77.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.8 [1.77, 1.84]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e148 (17.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8 (1.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2011\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e85.3 [61.7, 106.7]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.82 [1.78, 1.85]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e167 (20.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10 (1.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2015\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e64.9 [45.4, 88.3]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.83 [1.8, 1.86]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e151 (18.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20 (2.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e2016\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e169\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e72.3 [52.4, 102.3]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.85 [1.81, 1.87]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e142 (17.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27 (3.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u0026ndash;21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e71.8 [50.8, 96.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.83 [1.79, 1.85]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e766 (91.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e71 (8.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003eDNA concentrations and A260/280 ratios stratified by storage duration are presented in \u003cstrong\u003eError! Reference source not found.\u003c/strong\u003e. Pair-wise comparisons of ratios, with samples stored for 7 years (one outlier with ratio 2.4 removed) as the reference, showed no significant difference with samples stored for 8 years but significant differences for samples stored for 21 (p\u003csub\u003eadj\u003c/sub\u003e = 0.001), 16 (p\u003csub\u003eadj\u003c/sub\u003e = 5.32e\u003csup\u003e\u0026minus;\u0026thinsp;06\u003c/sup\u003e), and 12 (p\u003csub\u003eadj\u003c/sub\u003e = 0.043) years, respectively. An acceptable DNA concentration of at least 20 ng/\u0026micro;L and with either a satisfactory or high A260/280 ratio was observed for 837 (82.7%) samples (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\n \u003ch2\u003e3.3. DNA quality\u003c/h2\u003e\n \u003cp\u003eDNA fragmentation was investigated in 270 (26.7%) samples randomly and evenly selected from the five sample age groups. DIN and fragment size were visualized across the five time periods (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). Fragment size was divided into three groups (0\u0026ndash;19,999, 20,000\u0026ndash;39,999, and 40,000\u0026ndash;60,000 bp). Most samples had a fragment size over 40,000 bp, and only two samples had a fragment size below 10,000 bp. Five samples had a fragment size\u0026thinsp;\u0026gt;\u0026thinsp;60,000 bp, which is the maximum fragment size measured by the TapeStation instrument. Pair-wise comparisons with samples stored for 7 years as reference showed significant differences with samples stored for 21 years (p\u003csub\u003eadj\u003c/sub\u003e = 0.031). A DIN equal to or greater than 7 was observed for 189 (70%) samples (median 7.4; Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). The median DIN was lowest for samples aged 12 and 21 years. Overall, the integrated area was large for all samples with a median of 97.3%, minimum of 41.6%, and maximum of 100%.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristics of DNA integrity number (DIN) and fragment size, measured in base pairs (bp), stratified by storage duration.\u003c/strong\u003e The fragment size is grouped into 0\u0026ndash;19 999 bp, 20 000\u0026ndash;39 999 bp and 40 000\u0026ndash;60 000 bp. Outliers with a DIN value below 5.1 have been removed. DIN\u0026rsquo;s and fragment sizes were measured by Agilent 2200 TapeStation.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"9\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eDIN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eSize (bp)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eStorage duration (years)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSample size\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMedian [IQR]\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u0026lt;\u0026thinsp;7, n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e7\u0026ndash;10, n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMedian [IQR]\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e0\u0026ndash;19,999, n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e20,000\u0026ndash;39,999, n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e40,000\u0026ndash;60,000, n (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e21 years\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2 [6.2, 7.6]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21 (37.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35 (62.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30892 [22026, 44850]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8 (14.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31 (55.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17 (30.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e16 years\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.6 [7.3, 7.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9 (21.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33 (78.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49605 [28916, 53024]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4 (9.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26 (61.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e12 years\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2 [6.6, 8.0]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18 (34.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34 (65.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30861.5 [23520, 52945]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (11.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23 (44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23 (44.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e8 years\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.5 [7.0, 7.9]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14 (23.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e46 (76.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31403.5 [26076, 50334]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4 (6.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34 (56.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003e7 years\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.7 [6.8, 8.0]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19 (31.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e41 (68.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39472.5 [26921, 49922]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4 (6.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27 (45.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29 (48.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cstrong\u003eAll\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.4 [6.8, 7.8]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e81 (30.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e189 (70.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35577 [25508, 51093]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26 (9.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e127 (47.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e117 (43.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003eShorter fragments (up to 20,000 bp) generally have a lower DIN than longer fragments (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). The largest median fragment size was observed in 16-year-old samples, while the shortest fragments were observed in 21-year-old samples (2002\u0026ndash;2003). The youngest 7-year-old samples had the highest percentage of long fragments (between 40,000 and 60,000 bp), while 21-year-old samples had the lowest percentage of long fragments.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003e3.4. Evaluation of DNA quality and integrity across storage durations\u003c/h2\u003e\n \u003cp\u003eThe proportions of samples meeting the predefined acceptability criteria for quantity, purity, and quality are summarized in Table\u0026nbsp;5. Overall, 75.7% of the 1,012 samples met the criteria for quantity (\u0026ge;\u0026thinsp;20 ng/\u0026micro;L) and purity (A260/280 ratio of 1.7\u0026ndash;1.9) (Table\u0026nbsp;5a). The highest proportion of acceptable samples was found in those stored for 12 years (83.5%), while the lowest was in samples stored for 7 years (67.0%). Among the 270 samples analyzed with the TapeStation, 57.8% met the additional criterion of an acceptable DNA Integrity Number (DIN) of 7 or higher (Table\u0026nbsp;5b). The highest proportion of these samples was found in those stored for 8 years (61.7%), and the lowest in those stored for 7 years (55.0%).\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 5. Sample proportions meeting predefined acceptability criteria of sufficient quantity and purity and quality.\u003c/strong\u003e The predefined acceptability criteria include a DNA concentration \u0026ge;20 ng/\u0026micro;L and satisfactory A260/280 ratios (1.7-1.9) in a) all samples and b) 270 samples with the additional quality measurement from Tapestation with an acceptable DNA integrity number (DIN) of 7 or higher.\u003c/p\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThis is arguably not only a paper about sample \"mistreatment\" but also represents a \"real-world\" scenario seen in hundreds of research labs around the world where samples (not limited to blood but other biofluids and tissues) are kept as parts of historical research cohorts under less-than-ideal conditions outside formal biobanks with their protocols and governance structures. Times have changed and there is greater awareness of the importance of quality biobanking. Most DNA quality studies have simulated storage conditions and handling. Studies on DNA quality have examined the impact of storage conditions and repeated freeze-thaw cycles. Shao et al. \u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e found that repeated freeze-thawing negatively affects DNA stability, leading to degradation, especially after multiple cycles. Similarly, Safarikova et al. \u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e assessed the effect of different storage conditions on DNA integrity, concentration, and purity. Both studies emphasize that preserving DNA under optimal conditions is essential for maintaining its integrity and quality, crucial for subsequent analyses like PCR or sequencing​.\u003c/p\u003e \u003cp\u003eThis study was undertaken to determine the fate of 7500 blood cell samples stored at -20\u0026deg;C for seven to 21 years under less-than-optimal conditions. We investigated the feasibility, quantity, and quality of DNA extraction from these samples. As the capillary blood cell samples were stored adjacent to their corresponding plasma samples, they had been mistreated through an unknown number of freeze-thaw cycles as study analyses have progressed in DiPiS. The concern was that the samples would be too damaged from this mistreatment and that the samples would have to be discarded, prompting investigation of whether they were fit for future analyses. Genomic DNA was isolated from 1012 blood cell samples stored for 7 to 21 years using QIAamp DNA Blood Mini Kits.\u003c/p\u003e \u003cp\u003eThe results from our study are unique from previous findings as we investigate mistreated samples stored long-term. Previous studies have investigated DNA isolated from blood samples stored for up to a few months in the freezer \u003csup\u003e\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e, at different temperatures \u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e, or the quality of DNA stored for a long time under controlled forms in a biobank \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. Hara et. al. investigated storage conditions of forensic blood samples and blood stains, and concluded that storage below \u0026minus;\u0026thinsp;20\u0026deg;C was required to prevent DNA degradation during long-term (20-year) storage \u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u003c/sup\u003e. We found that it is possible to isolate satisfactory quality DNA from samples mistreated through repeated freeze-thaw cycles.\u003c/p\u003e \u003cp\u003eThe median A260/280 ratios were ~\u0026thinsp;1.8 across all years of collection, suggesting high DNA purity regardless of the duration of storage. We did not measure the A260/230 ratio, so we could not evaluate the presence of other organic residues. However, any organic residues would likely represent artifacts resulting from the inadequate removal of organic chemicals used in the extraction chemistry and not directly associated with the sample itself.\u003c/p\u003e \u003cp\u003eDNA was successfully isolated, relative to the acceptability criteria of \u0026ge;\u0026thinsp;20 ng/\u0026micro;L, from almost all 978 (96.6%) samples, as 29 (2.9) had a concentration of 10\u0026ndash;19 ng/\u0026micro;L and only 5 (0.5%) had a concentration below 10 ng/\u0026micro;L. The A260/280 ratio was satisfactory (1.7\u0026ndash;1.9) for 785/1012 (77.6%) samples, indicating that a majority of samples are of satisfactory quality. However, other studies \u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e,\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e classify DNA with a ratio between 1.7 and 2.0 as pure. Applying the wider ratio range to this study, only 16 (1.6%) would have an unacceptably high ratio, as many of the samples with a ratio greater than 1.9 had a ratio between 1.9 and 2.0 (Supporting Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Samples stored for 16 years were notable for having the lowest median ratio, samples stored for 21, 12, and 8 years were similar, and samples stored for 7 years had the highest median ratio. Twelve-year-old samples most commonly had a satisfactory ratio, and there seemed to be a trend of decreasing number of samples with a high ratio with increasing sample age. However, applying a ratio of up to 2.0 as pure, only 7 samples stored for 7 years had a ratio\u0026thinsp;\u0026gt;\u0026thinsp;2.0. A high ratio (\u0026gt;\u0026thinsp;1.9) can be caused by RNA contamination \u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e, which is very likely here, as the QIAmp Mini spin columns co-purify RNA if it is present. RNase can be added during isolation to remove RNA \u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e. Furthermore, the choice of solvent can also affect the DNA absorption \u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e, and we used an elution buffer with a pH of 9.0 \u003csup\u003e30\u003c/sup\u003e, which increases the A260/280 ratio by 0.2\u0026ndash;0.3 compared to the \u0026ldquo;true\u0026rdquo; A260/280 ratio \u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. Overall, 152 (15.0%) had a ratio below 1.7, which might indicate the presence of protein or other contaminants, since these absorb strongly around 280 nm \u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. As there was no distinct pattern related to sample year, the low ratio in some samples could be due to sample volume, quality, or isolation method. To further investigate what causes low ratio, the 260/230 ratio could be analyzed, or other isolation methods could be tested.\u003c/p\u003e \u003cp\u003eDNA fragmentation is important to assess, as intact DNA fragments are required for high-quality sequencing. Long fragments are more likely to overlap and contain sequences of interest, depending on the project aims, while short fragments are more likely to disrupt the sequence of interest \u003csup\u003e\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u003c/sup\u003e. Different kinds of sequencing require different quality and concentration parameters. For example, sequences\u0026thinsp;\u0026gt;\u0026thinsp;10 kbp can be generated from long-read sequencing \u003csup\u003e\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e, but to apply this method (e.g., long-read sequencing from Pacific Biosciences), the DNA must have a A260/280 ratio of 1.8-2.0 and a fragment size around 50 kbp \u003csup\u003e\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u003c/sup\u003e. For short-read sequencing, such as next-generation sequencing, the DNA is amplified and fragmented into smaller pieces around 250\u0026ndash;800 bp and then sequenced in parallel. For some specific regions of interest, shorter fragment length DNA can be used. In this study, we were most interested in the possibility of isolating DNA with an intact region of interest rather than how long the fragments are, since the region of interest can be amplified \u003csup\u003e\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e. As most of our samples were pure (based on A260/280 ratio) and of satisfactory quality (based on DIN), it is very likely that they can be used in further sequencing analyses. These samples need to be further analyzed for specific regions of interest and in different downstream applications.\u003c/p\u003e \u003cp\u003eSupporting Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows that the DIN is not solely determined by fragment size, since some samples of size\u0026thinsp;\u0026gt;\u0026thinsp;50 000 bp had a DIN below 7. Thus, other quality parameters, such as concentration and A260/280 ratio, should also be considered for individual samples. Nevertheless, we observed a pattern of decreased DIN with fragment size below 30,000 bp. As all groups had a median DIN greater than 7, many samples in our cohort contain high molecular weight DNA. Fragment size was significantly different across the years, but the difference in size between newer and older samples was not so great to assume that isolating DNA from newer samples produces DNA with longer fragments. Most samples with a fragment size between 40,000 and 60,000 bp were observed in samples stored for 12 years. However, 17 samples from the TapeStation were excluded prior to analysis due to an error with the analyzed chip, resulting in fewer results from samples stored for 16 and 21 years. Therefore, comparing the number of samples of a specific fragment size based on year may be misleading. Additional samples from each sample group need to be analyzed to further explore this association.\u003c/p\u003e \u003cp\u003eThe DNA yield was expected to decrease for older samples and as the samples had been heavily mistreated. However, we did not observe a decrease in DNA yield over time, in contrast to Chen et al. \u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. Even though the sample volumes differed due to clots and dried-in samples were diluted using PBS, which may introduce some error, it is interesting to note that the lowest DNA concentrations were found in samples stored for 21, 16, and 12 years (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA and Table\u0026nbsp;1a). This could indicate that isolating DNA from older samples carries a greater risk of a low DNA concentration. Overall, assuming blood samples are stored within the desired temperature range at stable conditions, DNA can be extracted from study samples after prolonged storage at -20\u0026deg;.\u003c/p\u003e \u003cp\u003eThe age of a study participant may influence the number of white blood cells available in the sample \u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e. However, that applies more to adults and later life and is not relevant for the present study. With age progression, the quantity of isolated DNA can decline due to a reduction in the number of leukocytes and lymphocytes \u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u003c/sup\u003e. The samples in the present study included only samples from children aged 2\u0026ndash;15 years, and we therefore expect no influence on the quantity of DNA according to age.\u003c/p\u003e \u003cp\u003eOne limitation of this study was the limited and varied sample volumes. QIAamp DNA Mini Blood Kits from Qiagen were the most cost effective and flexible method for this study, as the equipment was already available to us. Other methods of DNA isolation, such as manually extracting DNA using a salting out method \u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e or using phenol/chloroform extraction \u003csup\u003e\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e\u003c/sup\u003e, are more time consuming when isolating DNA from a large number of samples and require much larger sample volumes. The Qiagen kit may not be the best to use if samples are very clotted. A similar study \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e found that the Quick-DNA Miniprep Plus Kit (Zymo Research, Irvine, CA) was most time efficient and produced the highest DNA yields when testing four different kits for extracting DNA from old blood samples, although the Qiagen DNeasy Blood and Tissue Kit resulted in highest quality DNA. These results for only ten samples cannot be fully applied to our study, but it shows how the choice of method affects the outcome. Another limitation is that we did not perform TapeStation measurements to assess DNA integrity for all 1012 samples. However, the large subset of 270 samples provides confidence in the DNA integrity of the entire cohort of isolated DNA from long-term stored blood cell samples. A more comprehensive analysis would include electrophoresis, fluorometry, quantitative PCR, or a long-range PCR. Automated techniques such as TapeStation represent a form of automated electrophoresis where the software compares the result from the sample to a genomic DNA ladder and presents sizes and quantifications as charts and numbers. The advantages of using such a method are that both preparation and analysis are less time consuming and require a much smaller sample volume \u003csup\u003e\u003cspan additionalcitationids=\"CR38\" citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe strength of this project is that the samples were obtained as part of the DiPiS study, in which sample and data collection were performed according to protocol. The quality of the samples in this study prior to freezing was unknown, unlike samples in similar studies. In the DiPiS study, many of the samples were taken at home by the families and not by trained personnel, sent by post to the laboratory and potentially mishandled during storage. To our best knowledge, no other study has investigated DNA isolation from heavily mishandled samples that have been stored for long periods. Another study evaluating the effects of repeated freezing and thawing peripheral blood on DNA yield and integrity detected decrease in yield but no degradation of DNA \u003csup\u003e\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u003c/sup\u003e. Removing plasma from the blood samples in the DiPiS study did not remove any of the pelleted cells, and it is unknown if removing the plasma has a positive or a negative effect on the sample during long-term storage. Future studies will involve testing these samples by genotyping and comparing the results with previous SNP genotyping and Next Generation Sequencing from before storage.\u003c/p\u003e \u003cp\u003eThis study critically addresses the question that many research labs have: \u0026ldquo;can I perform modern analyses like Next Generation Sequencing on my historical, old sample cohorts?\u0026rdquo; The answer is, largely, yes.\u003c/p\u003e \u003cp\u003eThis study suggests that it is possible to isolate DNA of satisfactory quantity and quality after long-term storage and mistreatment through freeze-thaw cycles of blood cell samples stored separately from their corresponding plasma in capillary tubes at \u0026minus;\u0026thinsp;20\u0026deg;. Despite the limitations of this study, we found no evidence that DNA integrity worsened by mistreating the samples and with increasing sample age. Whole blood samples and blood cell samples in long-term storage under less-than-optimal conditions can be used in downstream analyses.\u003c/p\u003e"},{"header":"ABBREVIATIONS","content":"\u003cp\u003eDIN\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;DNA integrity number\u003c/p\u003e\n\u003cp\u003eDiPiS\u0026nbsp; \u0026nbsp;Diabetes Prediction in Skåne\u0026nbsp;\u003cbr\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eAcknowledgements\u003c/p\u003e\n\u003cp\u003eThe authors are indebted to the children and their families that have participated in the Diabetes Prediction in Sk\u0026aring;ne study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCrediT authorship contribution statement\u003c/p\u003e\n\u003cp\u003eAgnes Andersson Sv\u0026auml;rd:\u0026nbsp;Conceptualization, Investigation, Methodology, Validation, Formal analysis, Data curation, Writing \u0026ndash; original draft, Writing \u0026ndash; review \u0026amp; editing, Visualization, Project administration, Supervision.\u003c/p\u003e\n\u003cp\u003eIda J\u0026ouml;nsson:\u0026nbsp;Conceptualization, Investigation, Methodology, Validation, Writing \u0026ndash; review \u0026amp; editing, Visualization, Project administration, Supervision.\u003c/p\u003e\n\u003cp\u003eEllen Viberg:\u0026nbsp;Investigation, Methodology, Validation, Formal analysis, Writing \u0026ndash; review \u0026amp; editing.\u003c/p\u003e\n\u003cp\u003eIndia von Platen:\u0026nbsp;Investigation, Methodology, Validation, Formal analysis, Writing \u0026ndash; review \u0026amp; editing.\u003c/p\u003e\n\u003cp\u003eMarkus Lundgren:\u0026nbsp;Conceptualization, Investigation, Writing \u0026ndash; review \u0026amp; editing, Visualization, Funding acquisition, Resources, Supervision.\u003c/p\u003e\n\u003cp\u003eData availability statement\u003c/p\u003e\n\u003cp\u003eAll required data will be available with the corresponding author upon reasonable request if also conforming to existing data protection regulation\u003c/p\u003e\n\u003cp\u003eCompliance with ethical standards\u003c/p\u003e\n\u003cp\u003eThe samples analyzed in this study were collected as part of the DiPiS study at Lund University. The DiPiS study was approved by the Regional Ethical Review Board in Lund (Dnr 2009/244, Dnr 2014/196, Dnr 2015/861and Dnr 2019-03222) and complied with institutional and national research ethics standards including the 1964 Helsinki declaration and its later amendments or comparable ethical standards. In the DiPiS study, initiated in 2000\u003csup\u003e41,42\u003c/sup\u003e, application of a eutectic mixture of lidocaine cream preceded blood draws to reduce pain. Informed consent was obtained from the parents of the research subjects to participate in the present cross-sectional follow-up investigation\u003c/p\u003e\n\u003cp\u003eAdditional information\u003c/p\u003e\n\u003cp\u003eCompeting Interests Statement\u003c/p\u003e\n\u003cp\u003eThe author(s) declare no competing interests.\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eThis work was supported by grants from the Swedish Childhood Diabetes Foundation, Swedish Diabetes Association, SUS funds, Lions Club International District 101-s, SUS Foundations, the Sk\u0026aring;ne County Council Foundation for Research and Development, Kristianstad Central Hospital Committee for Research and Development, The Strategic Research Area Exodiab (Dnr 2009\u0026ndash;1039) and The Swedish Foundation for Strategic Research (Dnr IRC15-0067). The funding sources had no role in the study design, sample collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eMiller, S. A., Dykes, D. D. \u0026amp; Polesky, H. F. A simple salting out procedure for extracting DNA from human nucleated cells. \u003cem\u003eNucleic Acids Res\u003c/em\u003e \u003cstrong\u003e16\u003c/strong\u003e, 1215 (1988). https://doi.org/10.1093/nar/16.3.1215\u003c/li\u003e\n \u003cli\u003eGriffiths, L. \u0026amp; Chacon-Cortes, D. Methods for extracting genomic DNA from whole blood samples: current perspectives. \u003cem\u003eJournal of Biorepository Science for Applied Medicine\u003c/em\u003e, 1 (2014). https://doi.org/10.2147/bsam.s46573\u003c/li\u003e\n \u003cli\u003eHolland, N. T., Smith, M. T., Eskenazi, B. \u0026amp; Bastaki, M. 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E.\u003cem\u003e\u0026nbsp;et al.\u003c/em\u003e Diabetes-associated HLA genotypes affect birthweight in the general population. \u003cem\u003eDiabetologia\u003c/em\u003e \u003cstrong\u003e48\u003c/strong\u003e, 1484-1491 (2005). https://doi.org/10.1007/s00125-005-1813-4\u003c/li\u003e\n \u003cli\u003eLarsson, K.\u003cem\u003e\u0026nbsp;et al.\u003c/em\u003e Genetic and perinatal factors as risk for childhood type 1 diabetes. \u003cem\u003eDiabetes/Metabolism Research and Reviews\u003c/em\u003e \u003cstrong\u003e20\u003c/strong\u003e, 429-437 (2004). https://doi.org/10.1002/dmrr.506\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Blood sample, long-term sample storage, DNA isolation, DNA concentration, DNA quality ","lastPublishedDoi":"10.21203/rs.3.rs-5178790/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5178790/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study assesses the feasibility of extracting high-quality DNA from blood samples stored at -20°C for up to 21 years under suboptimal conditions. It addresses sample mishandling in research, where many samples lack proper biobank protocols. Prior studies focused on short-term storage and controlled conditions, highlighting the negative effects of freeze-thaw cycles. This study evaluates whether DNA from long-term stored samples under suboptimal conditions can still meet quality standards for research purposes.\u003c/p\u003e\n\u003cp\u003eGenomic DNA was extracted from 1,012 capillary blood samples from the Diabetes Prediction in Skåne study. Samples were stored at -20°C for 7 to 21 years, and DNA was isolated using QIAamp DNA Blood Mini kits. DNA quantity, purity, and quality were analyzed using spectrophotometry and automated electrophoresis.\u003c/p\u003e\n\u003cp\u003eOverall, 75.7% of samples met quality standards for DNA quantity (≥20 ng/µL) and purity (A260/280 ratio 1.7–1.9), with the highest proportion in 12-year samples (83.5%). DNA quality was further assessed in 270 samples, where 57.8% had a DNA Integrity Number (DIN) of 7 or higher. Despite some contamination, the majority of samples were suitable for downstream applications like next-generation sequencing. This study suggests that historical blood samples stored under suboptmal conditions can still be viable for modern genomic analyses.\u003c/p\u003e","manuscriptTitle":"Feasibility of Extracting Usable DNA from Blood Samples Stored up to 21 Years in the DiPiS Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-18 09:25:35","doi":"10.21203/rs.3.rs-5178790/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-12-05T07:23:31+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-12-04T14:49:00+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-11-25T12:24:58+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"58815609768053327849135101223645351364","date":"2024-11-18T06:26:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"109307824149303784072456016243180606465","date":"2024-11-18T05:33:23+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-11-10T21:55:52+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-11-10T21:42:39+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-10-21T01:10:27+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-10-16T09:50:48+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-09-30T07:44:17+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ffbd5030-8ba4-4cbf-bf2c-c11d1e67e017","owner":[],"postedDate":"October 18th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":39015187,"name":"Biological sciences/Biological techniques"},{"id":39015188,"name":"Biological sciences/Cell biology"},{"id":39015189,"name":"Biological sciences/Molecular biology"},{"id":39015190,"name":"Health sciences/Endocrinology"},{"id":39015192,"name":"Health sciences/Medical research"}],"tags":[],"updatedAt":"2025-07-21T16:08:38+00:00","versionOfRecord":{"articleIdentity":"rs-5178790","link":"https://doi.org/10.1038/s41598-025-08257-y","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2025-07-15 16:05:36","publishedOnDateReadable":"July 15th, 2025"},"versionCreatedAt":"2024-10-18 09:25:35","video":"","vorDoi":"10.1038/s41598-025-08257-y","vorDoiUrl":"https://doi.org/10.1038/s41598-025-08257-y","workflowStages":[]},"version":"v1","identity":"rs-5178790","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5178790","identity":"rs-5178790","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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