Results
157
Eight PCD patients were recruited to the study as six trios, one proband-mother duo and one 158
singleton (Table 1). All eight cases had a confirmed clinical diagnosis of PCD, following a nasal 159
brush biopsy. In all cases, nasal brushings were undertaken for clinical suspicion of PCD. 160
Presentations and phenotype severity were varied and are summarised in Table 1. 161
162
Using a virtual PCD panel approach to initially screen the WGS, we confirmed genetic 163
diagnosis for seven of the eight cases ( Table 2). Three cases had biallelic pathogenic and/or 164
likely pathogenic variants in the outer dynein arm heavy chain subunit gene DNAH5, which 165
has previously been shown to contribute to the largest proportion of PCD cases among 166
populations of European descent (1). Case 1 had a hemizygous nonsense variant (c.5281C>T, 167
p.(Arg1761Ter)), inherited from the mother and previously reported in PCD cases (32,33), and 168
an overlapping 13kb deletion on the other allele, inherited from the father ( Supplementary 169
Figure 3). Case 2 had two nonsense variants in DNAH5, c.3949C>T, p.(Gln1317Ter), which was 170
previously reported (34), and the c.5281C>T, p.(Arg1761Ter) variant. ddPCR was used to 171
phase the variants in Case 2 (Supplementary Figure 4). Case 4 had a single base pair deletion, 172
resulting in a frameshift and premature termination codon (PTC) (c.10815del, 173
p.(Pro3606Hisfs)), and a single base pair duplication, resulting in direct creation of a PTC 174
(c.13458dup, p.(Asn4487Ter)), which were shown to be in trans through trio -based phasing. 175
Both variants have been reported previously in PCD cases (33). All three cases with biallelic 176
variants in DNAH5 were shown to have absence or defects of outer dynein arms on TEM 177
(Figure 1), with Case 1 and Case 2 also shown to have static cilia ( Table 1, Supplementary 178
Video 1 ). This is consistent with loss of DNAH5, which has been shown to result in outer 179
dynein arm truncation and immotile cilia (33). All three share a similar clinical phenotype, 180
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7
with chronic wet cough, sinus problems and recurrent chest infections. Hearing loss was also 181
noted in cases 2 and 4. 182
183
Two cases had likely pathogenic variants in the cytoplasmic axonemal dynein assembly factor 184
DNAAF4 (DYX1C1), necessary for assembly and/or stability of the inner and outer dynein arms 185
(Table 2) (35). Case 5 had a homozygous 3.5kb deletion encompassing exon 7 of DNAAF4, 186
which was a lso heterozygous in the mother. There was no evidence of uniparental disomy 187
and, given Case 5 is also reported to have an affected sibling, it is likely the father also carries 188
the 3.5kb deletion, although the father's DNA was unavailable. This variant has previously 189
been reported in PCD (35). Ultrastructural analysis was consistent with previous reports for 190
DNAAF4 mutations, with reports of absent dynein arms (35) (Figure 1 ) and immotile cilia 191
shown on HSVM. Case 6 had a maternally -inherited nonsense va riant (c.856G>T, 192
p.(Glu286Ter)) and a paternally-inherited 3.1 kb deletion encompassing the last two exons of 193
DNAAF4, predicted to disrupt the C -terminal tetratricopeptide -like helical domain region 194
(TPR) by deleting the final 71 amino acids, as well as th e 3’UTR. We predict this allele to be 195
loss-of-function as the resulting transcript is predicted to be subject to nonsense -mediated 196
decay. Case 6 has bronchiectasis with a recurrent need for antibiotics. He has no ear or 197
hearing problems and situs solitus. 198
199
A further two cases had pathogenic or likely pathogenic variants in the outer dynein arm 200
heavy chain subunit DNAH11. Case 7 had a homozygous missense variant in DNAH11 (c.13373 201
C>T, p.(Pro4458Leu)) previously reported in PCD cases (36,37), at a low frequency in gnomAD 202
and in silico predictions support pathogenicity ( Table 2 ). There was sufficient evidence to 203
classify the var iant as likely pathogenic using ACMG guidelines (38,39). Case 8 had a 204
heterozygous 2 bp deletion, resulting in a PTC (c.10 221_10222del, p.(Cys3409Trpfs)), which 205
was classified as pathogenic ( Table 2 ). The second variant was a heterozygous missense 206
(c.13288G>C, p.(Gly4430Arg)). This variant is at a low frequency in gnomAD and in silico 207
predictions support pathogenicity, but it has not previously been reported in PCD cases. As 208
the variant is in trans with the c.10221_10222del variant, shown by phasing with parental 209
samples, there is sufficient evidence to classify the variant as likely pathogenic (Table 2). Both 210
Case 7 and Case 8 were shown to have a normal cilia ultrastructure with a dysmotile 211
phenotype ( Figure 1, Supplementary Video 2 ), consistent with loss of DNAH11, which 212
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8
localises to the proximal portion of respiratory cilia (40) . There is however phenotypic 213
variability between Case 7 (situs inversus with dextrocardia and recurrent chest infections) 214
and Case 8 (chronic wet cough and recurrent ear infections, with situs solitus). 215
216
The two missense variants in DNAH11 both reside at the 3 ' C-terminal domain (CTD) of the 217
axonemal dynein heavy chain. While there is no structure available for DNAH11, there are 218
homologous structures of other dynein proteins. To investig ate the effects of the DNAH11 219
missense mutations on protein structure, we built a homology model of the DNAH11 motor 220
domain. Both mutations occur within the CTD, on the outer side of the dynein motor dimer 221
(Figure 2A) and are intriguingly very close to each other in three -dimensional space (Figure 222
2B), separated by only 4.2 Å. 223
224
Molecular modelling of the missense mutations using the program FoldX (29) predicts that 225
the Gly4430Arg should be extremely disruptive to protein structure, with a ΔΔG of 10.9 226
kcal/mol. We also modelled all other CTD missense variants presented in the gnomAD v2.1 227
database (41) . Remarkably, out of 269 variants (Supplementary Table 1), Gly4430Arg has the 228
highest ΔΔG and therefore is predicted to be the most damaging. More over, this position is 229
fully conserved across all human dyneins (Figure 2C). This strongly suggests that Gly4430Arg 230
is pathogenic due to its disruptive effects on protein structure. 231
232
In contrast to Gly4430Arg, Pro4458Leu is predicted to be relatively mild at a structural level, 233
with a ΔΔG of 1.1 kcal/mol, making it only the 65 th most damaging out of 269 variants 234
(Supplementary Table 1 ). However, this residue is highly conserved, existing as a proline 235
across all human dyneins except DNAH1, where it is an alanine. Thus, while Pro4458 is unlikely 236
to cause a severe destabilisation of protein structure, its remarkable proximity to Gly4430 237
combined with a moderate structural perturbation and high conservation are supportive of 238
pathogenicity. 239
240
To assess whether the three deletion variants identified in Cases 1, 5 and 6 would have been 241
identified using WES, as opposed to WGS, the WGS data was subsetted to create a WES -like 242
dataset for each sample ( Supplementary Figure 2). CNV calling using ExomeD epth was able 243
to identify the DNAH5 variant c.5272-955_6197del p.(?) in both the proband and father for 244
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9
Family 1. However, the deletion, which spans five exons and has a breakpoint within exon 37, 245
was called as covering only 4 of the 5 affected exons in the proband. The single exon deletion 246
of DNAAF4 c.784-1037_894-2012del p.(?) was identified for the proband in Family 5, where 247
it is homozygous, but not in the heterozygous mother. The DNAAF4 deletion c.1048 -248
149_*1048del p.(?) identified in Family 6 was not detected in the proband or father, despite 249
both carrying the variant. 250
251
The phenotype of Case 3 is particularly relevant as ultrastructural analysis revealed ciliary 252
agenesis (Supplementary Video 3), sometimes referred to as reduced generation of multiple 253
motile cilia (RGMC), a specific subtype of PCD. In addition, Case 3 has shunted hydrocephalus, 254
having undergone initial ventriculo -peritoneal (VP) shunt insertion neonatally, and a 255
subsequent VP shunt revision as an adolescent. To date, few genes have been implicated in 256
this RGMC phenotype by recessive inheritance, CCNO (cyclin O) and MCIDAS (multicilin) 257
(42,43) but no pathogenic or potentially pathogenic variants were identified in either gene. 258
Heterozygous de novo mutations in the master motile ciliogenesis transcriptional regulator 259
FOXJ1 were identified as the first autosomal dominant cause of a distinct PCD-like condition, 260
associated with chronic respiratory disease, laterality defects and hydrocephalus (18). Similar 261
cellular defects are observed with reduced apical docking of centrioles and fewer cilia, but a 262
focused analysis revealed no identifiable pathogenic mutations in the FOXJ1 locus. An 263
expanded, whole genome analysis for SNP and indel candidates produced a very limited list 264
of variants ( Supplementary Table 2 ). This included a de novo missense mutation p.P259L 265
(chr9:g.137242994:C>T (hg38)) in the gene TUBB4B only in the patient, and not present in 266
either parent or foun d on gnomAD 4.0 or other publicly available databases. Whilst 267
interpretation of pathogenicity from a single patient is limiting, as part of a large international 268
collaboration, we were able to identify a further eleven patients with PCD carrying TUBB4B 269
variants identified by next-generation sequencing (NGS) (26). This included five patients with 270
PCD-only carrying the identical p.P259L (chr9:g. 137242994:C>T) variant, one carrying a 271
different missense p.P259S (chr9:g.137242993:C>T (hg38)) variant and one patient carried an 272
in-frame ten amino acid duplication p.F242_R251dup (chr9: g.137242941_137242970dup 273
(hg38)) (26). Moreover, we also identified a recurrent de novo TUBB4B variant four patients 274
with a p.P358S (chr9:g.137243290:C>T (hg38)) variant, who presented with features of both 275
PCD with Leber congenital amaurosis and sensorineural hearing loss. In -depth functional 276
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10
analyses in cell and animal models confirmed pathogenicity and distinct dominant -negative 277
mechanisms of action to cause different disease presentations (26). In summary, our WGS 278
strategy was very effective at identifying a novel PCD disease gene with the first report of 279
dominant negative disease mechanisms. 280
281
282
283
Discussion
284
In this study, WGS of affected probands and family members led to a genetic diagnosis in all 285
eight PCD patients, representing 11 different mutations in 3 autosomal recessive PCD genes 286
and 1 de novo mutation in a novel autosomal dominant PC D candidate TUBB4B. In Case 3, a 287
patient with features of reduced generation of motile cilia and hydrocephalus, no pathogenic 288
variants would been identified in a panel-based approach, even with targeted sequencing of 289
potential candidates for known RGMC loc i. The diagnostic rate of 100% in our small study is 290
higher than previous reports, in which 60-70% of cases received a genetic diagnosis based on 291
the known PCD gene panels (1,5,12,13,20), 75% on extended NGS panels (44) and 68-94% by 292
WES (45–48). 293
294
Next-generation sequencing (NGS) technologies continue to revolutioni se rare genetics 295
research and clinical diagnostics, where the advantages of WES versus WGS are often fiercely 296
debated. Cheaper in terms of costs of sequencing, analysis and data storage, WES is generally 297
preferred as a front -line diagnostic tool. WES, howe ver, has several issues in terms of 298
evenness of genome coverage and sequence bias, particular for copy number variations 299
(CNV). In comparison, several studies have found more accurate variant calls as well as even 300
and unbiased coverage of coding regions ar e generated by WGS (49,50). Our analysis was 301
focused on known and candidate PCD genes, screening simultaneously for single nucleotide 302
variants (SNVs), small indels and more complex SVs. In three cases, pathogenic deletions were 303
identified, ranging in size from 3kb to 13kb. Modelling of our WGS data to represent WES-like 304
data suggested that WES data would only have identified t he deletion in one of these three 305
cases, in which the deletion was homozygous. Since our WES -like model has more uniform 306
coverage than true WES data, our WES-like model could be considered more reliable for CNV 307
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11
calling than real -life WES sequence. However, we acknowledge that our model is based on 308
36X WGS data, whereas WES would be nearer 100X in practice but coverage does vary across 309
commercial platforms. The ability to detect SVs in PCD is of importance and consistent with 310
recent diagnostic guidelines for PCD, which highlighted that causal SVs and intronic mutations 311
can be missed due to the large number and size of PCD genes (8,21). Further, WES would not 312
have provided the precise breakpoint information that allowed confirmation of the three 313
deletion variants by Sanger sequencing. 314
315
Where WGS was clearly advantageous was PCD disease gene discovery in patients without 316
biallelic variants in known genes or in the one recent example of autosomal dominant 317
inheritance ( FOXJ1) or in the few cases of X -linked recessive inheritance ( RPGR, PIH1D3, 318
OFD1) (12). In Case 3, WES would have likely identified the de novo SNV in TUBB4B, as WES 319
panels identified SNVs in the other 11 TUBB4B patients (26). Here, the clear advantage of 320
WGS was to rule out potential non -coding alterations in the known RGMC PCD genes of 321
known inheritance such as FOXJ1 modes as to quickly prioritise novel candidates in our first 322
proband. As such, a clear benefit of WGS, similar to WES, is that its findings are future-proof; 323
the data generated can be re -screened for PCD -causing variants identified subsequent to 324
genetic testing, if initial testing is inconclusive. However, only WGS will allow fut ure analysis 325
of non-coding genome for variations in regulatory elements such as of transcription factor 326
binding sites that may underlie a subset of unsolved PCD cases. 327
328
Whatever the modality, increased genetic testing for PCD is critical. Currently genetic testing 329
for PCD sits as an additional step to confirm diagnosis by both European and American 330
guidelines (8,21,22). As shown here, and elsewhere, genetic testing can accurately diagnose 331
PCD where standard clinical procedures are unavailable, impractical or inconclusive (45–332
47,51) Importantly, a delayed PCD diagnosis is associated with worse progno sis (52,53). A 333
clinical diagnosis of PCD requires specialised, invasive testing, and frequently necessitates 334
travel over considerable distances to specialist centres. These tests are unsuitable for critically 335
ill neonates and for those unable to travel or unwilling to undergo invasive testing. Genetic 336
testing for PCD may therefore have utility in the neonatal period or in i nfancy that may have 337
been preferred to the diagnostic odyssey of the patients in this study, where the age of 338
diagnosis was between 5 and 12 years. Suggested clinical criteria for genetic testing in PCD 339
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12
could include term babies who become unwell at >12 ho urs of age with respiratory disease, 340
lobar collapse, situs inversus and/or an unexpectedly high or prolonged oxygen requirement 341
(54,55). Increasing availability, reducing costs and recognised clinical utility of NGS platforms 342
such as WGS in the neonatal and paediatric intensive care unit setting would be consistent 343
with such indications (50,51,54,56–59). Moreover, either WES or WGS would hel p rule out 344
other confounding clinical presentations such as primary immune deficiency disorders (PIDs), 345
with overlapping symptoms of frequent, often severe, airway infections as well as recurrent 346
otitis media, and sinusitis (60–62). Both platforms are advantageous as they allow analysis of 347
all potential causative genes, known and novel, thus faster to keep up with recently reported 348
genes that may not yet be included on PCD-gene panels. Indeed such technologies may prove 349
to be more cost - and time -effective as providing a molecular diagnosis test for PCD than 350
conventional clinical gene panels (45,46,48,63). A prospective study would appear to be 351
warranted, to define the optimum criteria for genetic testing and diagnostic yield in neonates 352
and older infants and children with respiratory symptomatology to help expedite PCD 353
diagnosis. 354
355
While earlier genetic testing for PCD is clearly a priority, PCD also remains underdiagnosed. 356
PCD ha s an estimated incidence of 1 in 7,500 births, rising to 1 in 2,300 in endogamous 357
populations (64,65). In North America, it is estimated that only 1,000 patients have a 358
confirmed diagnosis of PCD as opposed to the predicted ~25,000 - 50,000 these rates would 359
suggest to be affected with PCD (66). Similar underdiagnosis is reported in the UK, where 360
these prevalence estimates suggest there should be at least 8,900 people with PCD in the UK; 361
less than a quarter of these are known to the NHS highly specialised PCD service (67). A large 362
portion of these missing patients are likely adult patients within primary care or 363
bronchiectasis clinics, as suggested by one study which found 12% of bronchiectasis patients 364
had pathogenic variants in known motile ciliopathy genes (68). Increased genetic testing as a 365
first-pass diagnostic test in these suspected cases of PCD could be a way of controlling access 366
to more labour -intensive clinical and pathological diagnostic work -up in limited specialist 367
centres. 368
369
PCD needs to enter the precision medicine era. A genetic diagnosis is key to improved patient 370
prognosis as we better understand genotype-phenotype relations (69) and critically to being 371
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13
trial-ready as much-needed genetic therapies come online (70,71). Increased genetic testing 372
is also being combined with a curated worldwide database, similar to that of CFTR2 for Cystic 373
Fibrosis (72), to enable a better understanding of these genotype-phenotype relations in PCD 374
called CiliaVar (73). Such a database will significantly facilitate interpretation of variants, of 375
which 21% has been suggested to be variants of unknown significance (VUS) (73). For 376
example, in Cases 7 and 8 in our study, structural modelling of the CTD of DNAH11 aided the 377
assignment of pathogenicity of two missense variants, with one predicted to be detrimental 378
to protein stability and the second, in close proximity to the first, shown to be highly 379
conserved. 380
381
In conclusion, this study demonstrates the benefits of using WGS to obtain a genetic diagnosis 382
for PCD, through its ability to detect SNVs and SVs simultaneously as well as detecting variants 383
in genes outwith current gene panels. The detection of multi -kilobase deletions in three of 384
the seven diagnosed cases highlights the need to detect SVs as part of the genetic testing for 385
PCD. It also allowed rapid prioritisation of SNVs in nov el candidate genes with dominant 386
modes of inheritance. Practically and financially, WGS would likely sit behind current standard 387
of care panel -based or WES diagnostic platforms. Given the high genetic diagnostic rate 388
observed here and elsewhere (44,45,47,48), we suggest that genetic testing should be an 389
early step in the current diagnostic pathway for PCD, particularly in cases where nasal brush 390
biopsy is unavailable. By moving clinical and genetic diagnostic pathways in PCD earlier, 391
ideally to early life, we could have a transformative long -term reduction in morbidity with 392
access to specialist care and disease-modifying therapies commenced before permanent lung 393
damage. 394
395
396
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High diagnostic rate of whole genome sequencing in primary ciliary
dyskinesia
Supplementary Material and Methods
Holly A Black 1,2, Sophie Marion de Proce 1*, Jose L Campos 3*, Alison Meynert 3, Mihail Halachev 3,
Joseph A Marsh 3, Robert A Hirst 4, Chris O’Callaghan 4, Scottish Genomes Partnership, Javier
Santoyo-Lopez5, Jennie Murray 2,3, Kenneth Macleod 6, Don S Urquhart 6,7, Stefan Unger 6,7, Timothy J
Aitman1^, Pleasantine Mill3^
1 Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Cancer, University of
Edinburgh, Edinburgh, UK
2 South East of Scotland Genetics Service, Western General Hospital, Edinburgh, UK
3 MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
4 Centre for PCD Diagnosis and Research, Department of Respiratory Sciences, University of Leicester, UK
5 Edinburgh Genomics, Edinburgh, UK
6 Department of Paediatric Respiratory and Sleep Medicine, Royal Hospital for Sick Children, Edinburgh, UK
7 Department of Child Life and Health, University of Edinburgh, Edinburgh, UK
* These authors contributed equally to the manuscript
^ Joint senior authors
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SUPPLEMENTARY MATERIALS
Supplementary Table 1: Ranked list of most disruptive reported variants ( ΔΔG) in the C-terminal
domain (CTD) of DNAH11 as predicted by FoldX. ΔΔG represents the change in free energy by
mutation/design of proteins as predicted by the FoldX algorithm, where
ΔΔG = ΔGfold(mutation) − ΔGfold(wild type).
Supplementary Table 2: Genome wide list of variants detected in patient HG-003 by Slivar.
Supplementary File 1: Gene panel used for variant filtering with G2P under a biallelic inheritance
model
Supplementary File 2: Gene panel used for variant filtering with G2P under a monoallelic
inheritance model
Supplementary File 3 Droplet digital PCR for variant phasing.
Supplementary Video 1: HSVM for cases 1, 2 and 4, which have a genetic diagnosis in DNAH5,
showing static cilia
Supplementary Video 2: HSVM for cases 7 and 8, which have a genetic diagnosis in DNAH11,
showing dysmotile cilia
Supplementary Video 3: HSVM for case 3, showing ciliary agenesis
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Supplementary Figure 1: Principal component analysis (PCA) of study samples compared to 1000
Genomes project samples. Peddy was used to predict ancestry of the samples used in the study by
comparison with the 1000 Genomes samples. The 1000 Genomes samples (dots) are colour-coded
by location. The samples in our study are represented by squares. All samples were predicted to be
of European ancestry (purple squares), except three (orange squares), which were predicted to have
South Asian ancestry. AFR= African; AMR= American; EAS= East Asian; EUR= European; SAS= South
Asian.
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Supplementary Figure 2: Alignments of the modelled WES data showing sufficient coverage to call
the deletion variants identified in Cases 1, 5 and 6. A: Alignment for Family 1, showing coverage of
exons 32-38 of DNAH5. B: Alignment for Family 5, showing coverage of exons 6 to 8 of DNAAF4. C:
Alignment for Family 6, showing coverage exons 8-10 ofDNAAF4.
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Supplementary Figure 3: Sanger sequencing confirms 13kb deletion in DNAH5 in Case 1.
Alignments of the WGS data for Family 1 show a drop in read depth to approximately 50% of that of
the surrounding regions across a 13kb region of DNAH5 in the proband and the father. This spans
from intron 32 to exon 37. PCR and Sanger sequencing across the breakpoints confirms this deletion.
* indicates the position of the c.5281C>T nonsense variant, which is on the maternal haplotype and
is therefore hemizygous in the proband.
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Supplementary Figure 4: Drop phase results confirms the two DNAH5 nonsense variants are on
different haplotypes for Case 2 . The c.3949 variant was assayed using FAM probes and the c.5281
variant was assayed using HEX probes. For each combination of alleles, a representative result from
genomic DNA (left) and PacI-digested DNA (right) is shown. Each figure plots the number of
FAM-only positive (blue), HEX-only positive (green), FAM and HEX-positive (orange) and negative
(grey) droplets. The linkage % is shown for each test. (Details see Supplementary File 3).
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SUPPLEMENTARY METHODS
Patient cohort
Eight young people with PCD (50% female), aged 6 to 31 years (mean=15, SD= 7.9), were
recruited to the study within the Department of Paediatric Respiratory and Sleep Medicine
at the Royal Hospital for Sick Children, Edinburgh, and the South East Scotland Genetics
service. All eight cases had a confirmed clinical diagnosis of PCD, following TEM and/or
HSVM of a nasal brush biopsy sample. The screening and diagnostic testing was performed
according to the PCD National Service protocols, with investigations including nNO, nasal
brush biopsies analysed by HSVM for ciliary beat frequency and pattern and quantitative
electron microscopy for ciliary ultrastructure. Clinical phenotypes are shown in Table 1.
Blood samples were collected in EDTA tubes from the patients and parents, where available.
DNA was extracted using the Chemagic DNA blood kit (Chemagen) or the Nucleon Bacc3 kit
(GE Healthcare). Sample ethnicity was assessed using Peddy (v4.0.6) (1) (Supplementary
Figure 1).
Gene Panel, sequence data analysis and variant classification
BCBio-Nextgen (0.9.7) was used for alignment and variant detection. This used bwa mem
(0.7.13) to align reads to the hg38/GRCh38 reference genome (2), samblaster (0.1.22) to
mark duplicate fragments (3) and GATK (3.4-0-g7e26428) for indel realignment and base
recalibration (4). GATK HaplotypeCaller was used to calculate genotype likelihoods. Joint
genotyping and quality control, including kinship estimates to confirm sample relatedness,
were performed using in-house pipelines with GATK (4.0.2.1) following the GATK best
practices. Variants were annotated using Ensembl variant effect predictor (VEP 90) (5).
A bespoke gene panel of 146 genes was created (Supplementary Files 1 and 2), based on
the PCD PanelApp panel (v1.14) and five additional genes identified in the literature
(CFAP300, DNAH6, DNAJB13, STK36 and TTC25) (6–8). Variants (SNPs and small indels) were
filtered to retain only those within genes on the gene panel and then further filtered to
identify candidate variants by inheritance model (both biallelic and monoallelic), transcript
consequence, and population allele frequency using the G2P plugin for VEP (9). Variants
were assessed using Alamut (v2.13) (10) and classified using the ACMG variant
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interpretation guidelines (11,12). Any variants classified as pathogenic or likely pathogenic
were validated using Sanger sequencing and were submitted to ClinVar. Parental samples
were used to determine the phase of compound heterozygous variants, except for Case 2,
which used droplet digital PCR (ddPCR) for phasing (Supplementary File 3).
SVs were called using Manta (13) and Canvas (version 1.38) (14). The detection of SVs can be
challenging and it is common practise to use complementary approaches to detect them
(15). Manta detects SVs using discordant paired-end and split reads, whereas Canvas relies
on changes in read coverage. We searched for any SVs present in our gene panel that were
inherited from either parent. We also searched for de novo SVs for cases where both parents
were available. SVs were confirmed in silico using SV-Plaudit (16), a tool for rapidly curating
SV predictions, and/or using the Integrative Genomics Viewer tool (17). Candidate variants
were confirmed in the laboratory by PCR and Sanger sequencing across the deletion
breakpoints.
For Case 3, we did not find any diagnostic variants using our gene panel. As FOXJ1 was only
recently identified as a PCD gene and hence was not present on the panel, we searched for
SNVs, indels and SVs in Case 3 in this gene, given the ciliary agenesis phenotype observed in
this case is associated with FOXJ1. We also expanded our analysis for this case to a genome
wide search for SNV and small indel candidates with Slivar (0.1.10), following the protocol
for rare diseases (https://github.com/brentp/slivar/wiki/rare-disease Date accessed: January
2020). A small number of variants was detected (Supplementary Table 2) and none were
identified that fitted the current modes of inheritance for PCD.
Modelling of whole exome sequencing data
A whole exome sequencing (WES)-like subset of the WGS data was obtained by extracting
only the reads mapping to the regions in the TWIST Exome Capture Kit (using samtools v1.6)
from the BAM file for each sample. The capture region fully covers the exons affected by
copy number variants (CNVs) identified based on the WGS data (Supplementary Figure 2).
The WES CNV calling was performed using ExomeDepth (v 1.1.15) separately on each
individual from the three families in which a pathogenic CNV was identified (Families 1, 5
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and 6). As controls, we used WES-like subset data from the WGS data for the other samples
in this project (total of 21), from which we excluded any members of the family currently
being evaluated. As the WGS data was aligned to GRCh38, we generated a custom reference
dataset (exons.GRCh38) required by ExomeDepth, to replace the dataset currently
distributed with the ExomeDepth package (exons.hg19); exons.GRCh38 is based on the
latest CCDS release (r 22) available for the GRCh38 human genome reference (Available at:
www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi?REQUEST=SHOW_STATISTICS).
Homology modelling of DNAH11 and location of missense variants
A homology model of the C-terminal region of the DNAH11 motor domain (residues
3348-4504) was built using PHYRE2 (18), based upon the cryo-electron microscopy structure
of human cytoplasmic dynein-1 (PDB ID: 5NUG) (19). The effects of the mutations in the
C-terminal domain (CTD) (residues 4124-4504) on protein stability were modelled with FoldX
(20), using default parameters and calculated over 10 replicates. Sequences of human
dynein genes were aligned with MUSCLE (21) and the sequence alignment was visualised
with MView (22).
9
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The copyright holder for thisthis version posted February 22, 2024. ; https://doi.org/10.1101/2024.02.21.24302995doi: medRxiv preprint