Methods
We performed a two-stage genomewide association study to discover and replicate genetic
loci associated with gestational length and preterm birth. In the discovery stage, we
performed genomewide association analyses on 43,568 European-ancestry females identified
among 23andMe’s research participants. In the replication stage, the top significant
loci from the discovery stage analyses were tested in three birth data sets collected from
Nordic countries (Finland, Denmark, and Norway).
Women in the discovery data set were participants in 23andMe’s research program.
All women provided informed consent and answered surveys online following a human subjects
protocol, reviewed and approved by Ethical & Independent Review Services, a private
institutional review board ( http://www.eandireview.com ).
Unrelated women of European ancestry who self-reported gestational length of their first
live singleton birth were included in the analysis. Categories of preterm birth addressed
on the survey were 1) spontaneous preterm labor, 2) planned or required delivery for
medical reasons, 3) cervical problems, 4) other, or 5) none of the above. Women with a
medical indication for their preterm delivery were excluded from the study; those that did
not specify a medical indication on the survey were retained to optimize sample size.
Preterm birth status was determined based on dichotomization of self-reported gestational
length (preterm < 37 weeks; term ≥37 weeks). For those in the preterm group,
96.8% of women responded to the question regarding mode of delivery. For the term birth
group, we ascertained information on aggregate outcomes of all pregnancies, and could not
unambiguously determine spontaneous or medically indicated birth at more than 37
weeks.
DNA extraction and genotyping were performed on saliva samples by the National Genetics
Institute. To minimize the effects of population stratification, we restricted analyses to
women with >97% European ancestry, as determined through an analysis of local
ancestry.
19
Participant genotype data were imputed against the 1000 Genomes Phase1 reference
haplotypes.
20
Single-marker genetic associations with gestational length and preterm birth were tested
by linear regression or logistic regression, respectively, using imputed allelic dosage
data assuming additive allelic effects. Maternal age and the top five principal components
to account for residual population structure were included as covariates.
We clustered SNPs into association regions (or loci). Specifically, we defined
association regions by first identifying SNPs with P <
1×10 -4 , then grouping these into a region if they were adjacent to
each other (<250kb). The SNP with smallest P value within
each region was chosen as the index SNP. Regions that achieved suggestive significance
( P < 1×10 -6 ) were tested in the
replication stage.
We used the data of 8,643 mothers from three independent Nordic birth studies ( Table S1 ) of singleton pregnancies
with spontaneous onset of labor. Briefly, the Finnish study (FIN) consisted of nearly 900
mothers and their infants recruited from the Helsinki University Hospital between 2004 and
2014 with gestational length confirmation by early ultrasound at 10-13 weeks of gestation.
The Mother Child Cohort of Norway (MoBa) is a nationwide pregnancy cohort study
administered by the Norwegian Institute of Public Health.
21
The genotype data were derived from a genomewide association study of preterm
birth, with gestational length determination by second trimester ultrasound in more than
95% of participants.
22
For the current study, 1,834 mothers and 1,143 infants that passed QC were
included in the analysis. The Danish National Birth Cohort (DNBC) data is a cohort
including mothers and their children from more than 100,000 pregnancies recruited between
1996 and 2002.
23
Gestational length in this cohort was assigned by combining all available
information from multiple sources: self-reported date of last menstrual period,
self-reported delivery date, and gestational length at birth registered in the Medical
Birth Register and the National Patient Register. The genotype data were derived from two
genomewide association studies of preterm birth
24
and obesity,
25,26
respectively. In the current study, data from 5,921 mothers and 2,130 infants that
passed QC were analyzed.
Genotyping of the Nordic studies was conducted using various SNP arrays as previously
described.
27
Similar genotype QC procedures were used across the three studies. Subjects of
non-European-ancestry were identified and excluded using principal components analysis
(PCA). Genomewide imputation for the replication data sets was conducted using the
reference haplotypes extracted from the Phase I 1000 Genomes Project.
20
Single-marker genetic association tests were conducted in each replication data set,
using regression methods and imputation dosage similar to the discovery stage. Genotypic
association tests (d.f. = 2) were also performed to examine possible dominance effect. The
replication P values (inflation adjusted) combining results
from the three Nordic data sets were calculated using the fixed-effects inverse-variance
method. Significant replication P values and the same
direction of effect at the index or other significant SNPs ( P 0.8) were regarded as statistical evidence of replication of a putative
locus. The significance level of each region was corrected by the effective number of
independent SNPs tested in the region and the total number of regions that underwent
replication attempts ( Table S5 and
Supplementary Text ). A region was considered successfully replicated and
genomewide significant after replication if the most significant replication P value was below the significance level and had a combined
discovery and replication P value less than
5×10 -8 .
We also performed association tests in 4,090 infant samples and joint maternal/fetal
genetic association analysis in 3,184 (FIN: 769; MoBa: 1019 and DNBC: 1396) mother/infant
pairs from the Nordic data sets to evaluate whether the observed significant associations
were likely to be of maternal or fetal origin.
We checked whether the SNPs associated with gestational length or preterm overlap with
previously reported genomewide association SNPs in the GWAS catalog
28
and used the GTEx
29
database to search for associations with tissue-specific gene expression. We
examined whether multiple independent variants at a given locus influenced birth timing by
an approximate conditional and joint multiple-SNP (COJO) analysis.
30
We estimated the fraction of phenotype variance in the replication data sets
explained by all common SNPs
31
by GCTA
32
or sets of SNPs associated at different significance thresholds in the discovery
cohort using a genetic score approach.
33
We also performed gene-centric associations and gene-set enrichment analyses.
Detailed description of these analyses and associated results are described in the Supplementary Text .
We performed experimental functional follow-up of the WNT4
locus, one of the most significant loci with plausible functional relevance in pregnancy.
First we examined the expression level of WNT4 in human
endometrial stromal cells, before and after decidualization using mRNA-seq technology. We
predicted specific transcription factors binding using a Bioinformatic approach and
studied the presence of H3K4me3 marks and open chromatin domains overlapping the
hypothetical causal SNP by ChIP-seq and ATAC-seq, respectively. We performed
electrophoretic mobility shift assays (EMSA) to determine whether the variant
differentially affected specific transcription factor binding. Detailed description of
these analyses can be found in the Supplementary Text (Functional analyses of the WNT4 locus).
Results
The discovery data set included 43,568 women identified through 23andMe ( Table S1 ). Most of the women (86.8%,
N=37,803) delivered at term (37 to 42 weeks); 7.6% (N=3,331) delivered preterm (42 weeks) ( Figure S1 and Table S2 ). Maternal age
was strongly associated with gestational length ( P =
2.3×10 -41 ) with older mothers having shorter gestational length
( Table S3 ).
Three Nordic birth studies
27
were used in combination for replication. In total, phenotype and genotype data
were available from 8,643 mothers and 4,090 infants ( Table S1 ). These data sets were
case/control studies, in which samples from preterm births were enriched and samples with
post-term or close to the preterm-term boundary (37-38 weeks) were excluded ( Figure S2 ). In these studies infant
gender and maternal height were associated with gestational length ( Table S4 ).
Single-marker association tests were performed across 15,635,593 SNPs that passed the
23andMe QC ( Supplementary
Methods ). We focused our analysis on 9,042,878 markers with MAF>0.01. Test
results were adjusted for genomic inflation factors ( Figure S3 ). For gestational length,
12 loci were identified with P <
1×10 -6 (suggestive significance). Of these, four had an association P
< 5×10 -8 ( Figure 1A , Table 1 and Table S5 ). For preterm birth, 5 loci were identified with P <
1×10-6, two of which achieved genomewide significance ( Figure 1B , Table 1 and Table S5 ). The top three loci
associated with gestational length ( EBF1 , EEFSEC and AGTR2 ) shared association
loci for preterm birth risk. Altogether, 14 independent loci were taken forward for
replication. To confirm the robustness of the association signals, we conducted similar
association tests in a subset of discovery subjects who explicitly checked
“spontaneous delivery” in the questionnaire (excluding those who did not
specify a choice of spontaneous or medically indicated delivery) and the results were
similar to those obtained from the full discovery data sets ( Table S6 ).
Top: gestational length as quantitative trait; bottom: preterm birth as dichotomous
trait. Regions reached genome wide significance ( P <
5×10 -8 ) and suggestive significance ( P < 1×10 -6 ) were highlighted in red and orange
respectively. The six replicated loci were highlighted in bold.
For each of the 14 loci from the discovery stage, we examined the replication association
signals ( P value and direction of effect) at the index SNP
and other SNPs with P 0.8). Six loci ( Table 1 and
Table S7, S8 ) replicated given
a significance threshold adjusted for the effective number of independent SNPs at a locus
as well as the number of loci tested ( Table S5 ) and the direction of the effect. The 6 loci include EBF1 , EEFSEC , and AGTR2 , which were associated with both gestational length and
preterm birth; WNT4 , ADCY5 and
RAP2C , which were associated with gestational length but
not with preterm birth at the significance level for genomewide discovery ( P < 1×10 -6 ). In addition, associations of
the BOLA3 locus with gestational length, and the TEKT3 and the TGFB1 loci with
preterm birth showed marginal significance ( P 0.6) with the most significant SNPs in discovery stage. However, at the
ADCY5 locus, the LD between the most significant SNPs in
replication stage and the discovery stage is less substantial ( r
2 < 0.4). SNPs at the EEFSEC locus showed
nominally significant dominant effects ( P .dom < 0.05)
( Table S7, S8 ).
For each locus, the most significant SNP in discovery stage (index SNP) and the most
significant SNP in replication stage are shown.
For each suggestive locus ( P <
1×10 -6 , discovery stage), the SNP showing the strongest
association in the replication stage is shown below the index SNP (the most
significant SNP in discovery stage). Only SNPs with P
0.8) were tested for replication. Replicated regions are highlighted
in bold.
For each region, the gene closest to the index SNP was shown.
SNP positions were based on GRCh37/hg19. Alleles were given based on positive
strand of reference genome. Allele B is used as the reference allele for frequency
and effect.
For gestational length, effect is unstandardized regression coefficient, which
shows the estimated changes in gestational days per allele (B). For preterm birth,
effect is the estimated odds ratio of the reference allele (B).
Discovery stage P -values were adjusted by inflation
factors. The replication stage P -values were
calculated from the inflation adjusted effect sizes and standard error of the three
Nordic studies using fixed-effect meta-analysis. Joint-analysis P -values were calculated from 23andMe and combined Nodic studies using
the inverse variance method.
Directions represent whether the effects observed in the three Nordic studies
(FIN/MoBa/DNBC) are same (+) or different (-) from the effects estimated from the
23andMe discovery cohort.
For each locus, the rank (based on the P -value in
discovery stage) of the most significant SNP in replication stage (show in italic)
together with the r
2 with the index SNP was provided. The r
2 was estimated from haplotype data of the Phase 1 1000 Genomes EUR
samples.
A number of SNPs with potentially functional impact (i.e. nonsense, missense and splicing
SNPs) are encompassed by the loci we identified as potentially important ( Table S5 ). However, none of those
potentially functionally important variants are in close LD ( r
2 >0.8) with SNPs significantly associated with gestational length or
preterm birth in the discovery stage. Within these loci, there are SNPs reportedly
associated with complex traits (GWAS Catalog
28
) ( Table S5 ). Among these,
three previously identified SNPs (rs10934853, rs2999052 and rs2687729) in the EEFSEC locus were significantly associated with gestational length
and preterm birth. The alleles that were associated with longer gestational length (or
reduced risk of preterm birth) have also been associated with increased risk of prostate
cancer (rs10934853-A)
34
, reduced risk of hypospadias (rs2999052-C)
35
and later age of menarche (rs2687729-G).
36,37
Five significant SNPs in the WNT4 locus were
previously associated with endometriosis,
38
ovarian cancer
39
and bone mineral density.
40
The alleles that increased gestational length in our analysis have also been
identified as high-risk alleles for endometriosis, ovarian cancer or low bone mineral
density ( Table S9 ). Our eQTL
analyses showed that some significant SNPs at the associated loci can significantly
influence expression level of nearby genes ( cis -expression
QTLs) based on GTEx data
29
( Table S10 and S11 ).
SNPs at the ADCY5 locus have been reported to be associated
with birth weight
41
and blood glucose traits.
42
More recently, a large meta-analysis has revealed SNPs at the ADCY5 , WNT4 and EBF1 loci that are associated with birth weight.
43
The SNPs at the ADCY5 and WNT4 loci appear to influence birth weight through the fetal genome and none
of them were in close LD with the SNPs showing significant association with gestational
length; while the SNP (rs7729301) at the EBF1 locus seems to
influence birth weight through the maternal effect, and the allele (G) associated with
reduced birth weight was also associated with shorter gestational length ( Table S5 ).
Association analyses of the top regions in the infant samples from our Nordic data sets
( Table S12 and S13 ) yielded
weaker associations. The results showed the same direction of effect but smaller effect
sizes for the top significantly replicated SNPs ( Table S14 ), supporting the inference that the loci identified in this
study are “maternal” loci. The effect sizes estimated from infant samples
were highly correlated (ρ = 0.95) and approximately half of the effect sizes
estimated from maternal samples ( Figure
S4 ), supporting that the effect observed in infants is due to sharing of one
maternal allele by descent. In addition, joint association analysis in mother/infant pairs
with both maternal and fetal genotypes as predictors demonstrated significant associations
exclusively with maternal genotypes but not with fetal genotypes ( Table S15 ), which again indicated the
maternal origin of the observed genetic associations.
We also evaluated our findings for detection of allelic heterogeneity, dominance effects,
percentage of the variance explained, and gene set enrichment/pathway analyses. These
results are presented in the Supplementary Text and include Figures S5-9 and Tables S16-19 .
The genetic loci we identified fall in noncoding regions of the genome, suggesting that
they will affect gene regulation rather than protein function. To dissect the consequences
of these variants, knowledge of cell-type context in which they are active is essential.
The WNT4 locus provides an especially attractive region, as
unlike the other loci we identified, it implicates a particular tissue context related to
its role in pregnancy, the endometrium.
44
The variants we identified also associate with risk for endometriosis,
45
and WNT4 function is critical for decidualization of
the endometrium and subsequently implantation and establishment of pregnancy.
46
Therefore, we sought to analyze the expression of the WNT4 gene in human endometrial stromal cells, before and after decidualization
( Supplementary Methods ). Using
RNA sequencing, we confirmed a substantial induction of WNT4
mRNA with decidualization – average of 0.0 transcripts per million (TPM) prior to
decidualization in vitro to 29.5 TPM after decidualization in samples run in duplicate
from two different endometrial stromal cell lines.
a. The rs3820282 T allele creates a stronger ESR1 binding site. The ESR1 binding
motif ‘sequence logo’ (taken from the CisBP web server) illustrates
the DNA binding preferences of ESR1. Tall nucleotides above the X-axis indicate DNA
bases preferred by ESR1. Bases below the X-axis are disfavored. The sequence located
in the WNT4 promoter is shown below, with the T allele
for rs3820282 shown at the bottom. Note that the T allele changes the sequence from C
(most disfavored) to T (most preferred). b. rs3820282 overlaps ATAC-seq and H3K4me3
signals in decidual stromal cells at the WNT4 locus. The
red vertical line indicates the position of rs3820282. The location of the WNT4 gene is depicted at the bottom. Tall blocks indicate
exons, medium height blocks indicate UTRs, and thin lines indicate introns. Arrows
within introns indicate the direction of transcription. c. Experimental validation of
allele-dependent binding of ESR1 to rs3820282 by electrophoretic mobility shift assay
(EMSA). Fluorescently-labeled rs3820282 probe with either the C or T allele was
incubated with nuclear extracts of decidual stromal endometrial cells in the presence
or absence of purified ESR1 and/or antibody against ESR1. Lane pairs indicate C and T
alleles. Preferential binding of ESR1 to the T allele is observed through an increased
signal intensity of the shifted band. Upper and lower arrows indicate the locations of
supershifted and shifted bands, respectively. Left to right - Lanes 1+2: negative
control lanes containing only oligos; Lanes 3+4: increased binding of purified ESR1 to
the T allele. Lanes 5+6: limited binding in the presence of nuclear extract only, due
to low expression of ESR1 in these cells; Lanes 7+8: substantial allelic binding is
detected with the addition of purified ESR1 to the nuclear extract; Lanes 9+10:
Supershift using an ESR1 antibody
We next sought to identify particular regulatory mechanisms controlling the expression of
WNT4 that might be altered by variants associated with
gestational length. To this end, we used the CisBP web server
47
to predict the specific transcription factors whose binding might be altered by
any of the six gestational length-associated variants that localize to the WNT4 locus. These analyses indicate that rs3820282 ( r
2 =0.94 with the index SNP rs56318008), which is located in the first intron of
WNT4 is capable of altering the binding of the estrogen
receptor (ESR1). Specifically, the underlying quantitative data from protein binding
microarray (PBM) assays
48
indicate that the minor allele (T) of rs3820282 “creates” a
near-perfect half-site for ESR1 ( Figure 2 )
– the PBM-derived E-score for the major allele (C) is 0.09 (no binding), whereas
the minor allele (T) is 0.46 (strong binding). Importantly, ESR1 and ESR2 are the only two
human nuclear receptors that bind GGTCA half-sites with an "IR3" (Inverted Repeat 3)
pattern,
49
eliminating the ~50 other nuclear receptors from consideration. Further, ChIP-seq
peaks for ESR1 are present in four different experiments performed in MCF7 cells
50
, indicating that ESR1 is capable of binding to this locus in a cellular context.
We confirmed the presence of H3K4me3 marks and an open chromatin domain by ATAC-seq
overlapping rs3820282 ( Figure 2b ) in an
immortalized endometrial stromal cell line ( Supplementary Methods ), demonstrating that the chromatin over this
locus is likely accessible and active in these cells. Importantly, we observed enhanced
binding of ESR1 to the T allele of rs3820282 in electrophoretic mobility shift assays, as
predicted by the in silico analysis ( Figure 2c ).
Collectively, these data suggest that the likely mechanism underlying the gestational
length association in the WNT4 locus is modulation (via
rs3820282) of the binding of ESR1. rs3820282 is also strongly associated with epithelial
ovarian cancer
39
( Table S9 ), suggesting
that this same mechanism might be acting in multiple diseases.
Discussion
Our genomewide association study is the first to identify human genetic polymorphisms that
are significantly and reproducibly associated with gestational length and preterm birth, the
single greatest contributor to mortality in children younger than five years and a common
source of morbidity throughout life for those who survive. Our approach demonstrates the
utility of using data collected as part of direct-to-consumer genotyping and phenotyping to
rapidly assemble large data sets capable of revealing contributing loci in particularly
complex phenotypes such as preterm birth where both maternal and fetal genomes, and many
genes, are likely to contribute to the outcome. By combining the power of a large
43,568-person discovery data set and stringent replication by the well phenotyped Nordic
data sets, we identified and replicated six maternal genomic loci robustly associated with
gestational length and three of them also associated with preterm birth with genomewide
significance (P<5E-8) in the joint analysis.
The top four replicating genomewide significant SNPs for gestational length are in
biologically plausible genes. EBF1 (early B-cell factor 1),
also achieving genomewide significance for preterm birth, has been demonstrated to be
essential for normal B cell development,
51
and recent genomewide association studies have implicated it in control of blood
pressure,
52,53
carotid artery intima media thickness,
54
hypospadias,
35
and metabolic risk.
55
Whether EBF1 confers its effect on birth timing
through pregnancy-specific mechanisms, or by contributing to more general cardiovascular or
metabolic traits that influence gestation remains to be determined. In addition, the
association between this locus and gestational length may explain the effect of this locus
on birth weight reported by Horikoshi et al.
43
EEFSEC (eukaryotic elongation factor, selenocysteine
tRNA-specific), also genomewide significant for both gestational length and preterm birth
risk, participates in the incorporation of selenocysteine into selenoproteins.
Selenoproteins, such as the glutathione peroxidases and thioredoxin reductases, serve
critical cellular homeostatic functions in maintaining redox status and antioxidant
defenses, as well as modulating inflammatory responses.
56
These physiologic functions have previously been linked to the parturition process
and preterm birth.
5,57,58
Moreover, the SNPs we identified in EEFSEC are in high
LD with SNPs that have previously been associated with age of onset of menarche, expression
quantitative trait loci (eQTLs) for EEFSEC abundance, risk of
prostate cancer
34
and hypospadias.
35
Intriguingly, the identification of the selenocysteine pathway suggests the
potential benefit for further evaluating the role of maternal selenium micronutrient status
on prematurity risk. While a recent Cochrane review of multiple micronutrient
supplementation did not demonstrate a reduction in preterm birth risk,
59
the studies included for analysis did not all utilize selenium as part of their
supplement. Indeed, a recent evaluation of maternal serum selenium concentration in early
pregnancy demonstrated reduced selenium concentration in association with preterm
birth,
60
and, while of multi-factorial etiology, the country with the highest global preterm
birth risk, Malawi,
61
demonstrates a high frequency of selenium-deficiency.
62
AGTR2 (angiotensin II receptor, type 2), the coding gene
nearest to a group of X chromosome SNPs achieving genomewide significance in the gestational
length analysis, had suggestive association with preterm birth discovery stage, and
genomewide significance for preterm birth in the joint analysis with robust association in
the Nordic replication. AGTR2 has been suggested to play a
role in modulating uteroplacental circulation, and harbors variants that may contribute to
the risk of preeclampsia.
63,64
The involvement of the renin-angiotensin system in blood flow at the maternal-fetal
interface and oxidative stress, interacting with the selenoprotein glutathione perioxidase,
a target for EEFSEC , is a potential shared mechanism for these
genes in spontaneous preterm birth.
65
It is unlikely that our association detects risk for preeclampsia rather than
spontaneous preterm birth, because women with preeclampsia as a reason for their delivery
were excluded in the Nordic studies, and were removed from the 23andMe discovery data set if
medical indications for delivery were reported.
The final gene locus achieving genomewide significance in the discovery stage for
gestational length was WNT4 (wingless-type MMTV integration
site family member 4), with strong replication in the Nordic populations. WNT4 mutations have been found in women with Mullerian duct
abnormalities, primary amenorrhea, and hyperandrogenism,
66
and common variants in WNT4 , in high LD with our index
SNPs, are associated with risk for endometriosis
38
, ovarian cancer
39
and bone mineral density.
40
Our analysis indicates that the minor allele (T) of the putative causative variant
rs3820282 in the Nordic populations is associated with longer gestational length and is
protective for preterm birth. rs3820282 is located in an active chromatin domain in the
first intron of WNT4 , and the T allele generates a strong ESR1
binding site, and as such likely alters estrogen-based regulation of WNT4 and/or adjacent genes. The role of estrogen signaling as the functional
consequence of the polymorphism is further supported by the association of the same region
with endometriosis and ovarian cancer, both hormone-responsive disorders. Further, the
parallel of the spectrum of disorders associated with the WNT locus mirrors that of ARID1A,
also critical for endometrial function early in pregnancy, with loss of function variants
causing atypical endometriosis and ovarian cancer, and enhanced estrogen activity.
67,68
Lastly, the population frequencies for endometriosis (Asian>European>African
ancestry) trend in the same direction as does the T allele for rs3820282 (EAS 0.49 > EUR
0.14 > AFR 0.01 based on 1000 Genomes).
69,70
WNT4 did not achieve genomewide significance or suggestive
association in the preterm birth risk dichotomous trait analysis, suggesting its role may be
largely exerted near term gestation.
ADCY5 (adenylyl cyclase type 5) and RAP2C (member of the RAS oncogene family) achieved near genomewide significance
in the discovery stage and were successfully replicated ( Table 1 ). SNPs at the ADCY5 locus have been reported
to be associated with birth weight
41
and type 2 diabetes;
42
however, none of them were in close LD with the SNPs showing significant association
with gestational length, suggesting shared mechanisms coordinating the duration of gestation
with growth. The SNP rs2747022 in the RAP2C region (in gene
FRMD7 ) was previously reported to be associated with
spontaneous preterm delivery in Danish/Norwegian studies (the samples used in this previous
study overlap with our replication samples).
22
Several additional loci ( BOLA3 , TEKT3 and TGFB1 ), while showing marginal evidence
of replication, remain suggestive and await the addition of further studies for analysis.
The primary limitation of our study centers on the characteristics of our study data sets.
The gestational length information of the 23andMe samples was self-reported, and 3.2% of
women in the preterm group did not respond as to whether the labor and delivery was
spontaneous or medically indicated. In the term group, we were not able to unambiguously
determine spontaneous from medically-indicated births. Despite these limitations, we
included these samples in order to dramatically increase the sample size of the discovery
stage, recognizing that our replication data sets would be more precisely phenotyped for
spontaneous preterm birth. A previous study suggested that approximately 90% of
mother-reported gestational lengths agreed with their associated medical records.
71
In addition, other than maternal age and ancestry inferred by genotypes, other
covariates were not available for the 23andMe samples.
Our study demonstrates the utility of combining large samples with self-reported
phenotyping with more modestly sized but precisely phenotyped replication studies to reveal
maternal loci associated with gestational length and preterm birth. With this foundation,
future expansion of maternal and fetal genotyped samples associated with gestational length
information is anticipated to further refine our understanding of human pregnancy, risk for
adverse pregnancy outcomes, and targeting of new preventive strategies for preterm birth. As
the National Institutes of Health expand “Precision Medicine” initiatives in
the years ahead, we would argue that the optimal time to advance human health is before and
during pregnancy. Our work suggests that integration of genomic information on women, and
likely their offspring, with birth timing, may allow development of new options for
preventative and therapeutic measures.
Introduction
Preterm birth (defined as birth before 37 completed weeks of gestation) affects 9.6% of
pregnancies in the United States
1
and over 15 million pregnancies worldwide each year. It is the leading global cause
of mortality in children under five years of age.
2,3
The majority of preterm births arise by the spontaneous, idiopathic onset of uterine
contractions or rupture of fetal membranes.
4
Despite the considerable morbidity and mortality arising from preterm birth, few
interventions have proven effective in limiting its occurrence. The limited progress in
preterm birth prevention may arise from the lack of understanding of the pathways regulating
the timing of birth including the normal length of gestation.
5,6
A substantial body of evidence has accumulated demonstrating a contribution of
genetic factors in gestational length and preterm birth risk.
7
For example, twin and family studies suggest that 30-40% of the variation in birth
timing, or risk for preterm birth, arises from genetic factors, largely but not exclusively
residing in the maternal genome.
8-12
Preterm birth, and gestational length in general, is a complicated phenotype with
contributions from two genomes – maternal and fetal – that may have separate
or interacting contributions. Furthermore, different genotypes may predispose to preterm
birth at different gestational ages. Finally, defining preterm birth as a dichotomous trait
based upon a somewhat arbitrary cutoff of 37 weeks, rather than time of birth for a
specified level of fetal maturity or as a continuous trait, limits data interpretation.
Therefore, defining the genetic variants associated with gestational length (a quantitative
trait) as well as preterm birth (a dichotomous trait), will both yield important new
insights. Further, analyzing gestational length as a continuous trait increases the power to
detect associations that is limited when traits are dichotomized.
13
Control of timing of birth is multifactorial, and common polymorphisms involved in
gestational length or preterm birth risk are likely to individually be of small effect size.
Nonetheless, the insights they provide into essential genes and pathways may open novel
avenues for intervention.
14
However, for genomewide association studies to reveal robustly associated variants,
large sample sizes are required,
15
and particularly so for preterm birth given the complexity of the phenotype. To
date, individual genomewide association studies of spontaneous preterm birth have included
on the order of 1,000 case mothers or infants with control groups of similar size, but no
replicated genomewide significant loci have yet emerged.
16-18
To overcome previous sample size limitations, we leverage data on gestational length and
preterm birth in a large sample of women of European ancestry (approximately 44,000)
collected as part of genotyping and phenotyping efforts by 23andMe, Inc., a genetics
company. We then selected the top loci ( P <
1×10 -6 ) and performed replication analyses for gestational length and
preterm birth in three data sets of Nordic women (8,643). Further, we provide evidence
indicating the observed effect was due to an action in the maternal genome and provide
functional data implicating the causative SNP underlying the WNT4 locus.
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