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Erschienen in: BMC Medical Genetics 1/2018

Open Access 01.12.2018 | Technical advance

Discovery of rare ancestry-specific variants in the fetal genome that confer risk of preterm premature rupture of membranes (PPROM) and preterm birth

verfasst von: Bhavi P. Modi, Hardik I. Parikh, Maria E. Teves, Rewa Kulkarni, Jiang Liyu, Roberto Romero, Timothy P. York, Jerome F. Strauss III

Erschienen in: BMC Medical Genetics | Ausgabe 1/2018

Abstract

Background

Preterm premature rupture of membranes (PPROM) is the leading identifiable cause of preterm birth, a complication that is more common in African Americans. Attempts to identify genetic loci associated with preterm birth using genome-wide association studies (GWAS) have only been successful with large numbers of cases and controls, and there has yet to be a convincing genetic association to explain racial/ethnic disparities. Indeed, the search for ancestry-specific variants associated with preterm birth has led to the conclusion that spontaneous preterm birth could be the consequence of multiple rare variants. The hypothesis that preterm birth is due to rare genetic variants that would go undetected in standard GWAS has been explored in the present study. The detection and validation of these rare variants present challenges because of the low allele frequency. However, some success in the identification of fetal loci/genes associated with preterm birth using whole genome sequencing and whole exome sequencing (WES) has recently been reported. While encouraging, this is currently an expensive technology, and methods to leverage the sequencing data to quickly identify and cost-effectively validate variants are needed.

Methods

We developed a WES data analysis strategy based on neonatal genomic DNA from PPROM cases and term controls that was unencumbered by preselection of candidate genes, and capable of identifying variants in African Americans worthy of focused evaluation to establish statistically significant associations.

Results

We describe this approach and the identification of damaging nonsense variants of African ancestry in the DEFB1 and MBL2 genes that encode anti-microbial proteins that presumably defend the fetal membranes from infectious agents. Our approach also enabled us to rule out a likely contribution of a predicted damaging nonsense variant in the METTL7B gene.

Conclusions

Our findings support the notion that multiple rare population-specific variants in the fetal genome contribute to preterm birth associated with PPROM.

Background

There are significant disparities in preterm birth rates in the United States, with African Americans experiencing an increased burden [1, 2]. Delivery after preterm premature rupture of the membranes (PPROM) is the leading identifiable cause of spontaneous preterm birth, and PPROM is more common in African-Americans. PPROM is believed to be caused, in part, by infection and inflammation, presumably incited by microbes ascending from the vagina, resulting in the release of pro-inflammatory cytokines and the activation of matrix-degrading proteases that breakdown the collagens that give the fetal membranes their tensile strength, resulting in unscheduled rupture [35].
Twin studies have revealed that both fetal and maternal genetic factors contribute to gestational age at delivery, but there is uncertainty about the roles played by specific fetal and maternal genes. Attempts to identify genetic loci associated with gestational age at delivery and preterm birth using genome-wide association studies (GWAS) have only been successful with large numbers of cases and controls (see reference [5] for a review). Moreover, these studies have not identified genes that could account for increased preterm births in African-Americans. Efforts to identify ancestry-specific variants using GWAS approaches have led to the conclusion that spontaneous preterm birth is likely to be the consequence of multiple common variants or rare variants not easily detected by GWAS [6]. This is not a surprising conclusion since GWAS is based the “common disease-common variant” hypothesis, positing that a significant proportion of the variance of common diseases are attributable to DNA variants that are present in > 1–5% of the population, and that there are many of these DNA variants, each contributing a small amount to the total risk to a particular disease [5].
As noted above, an alternative hypothesis is that diseases are associated with rare genetic variants that have relatively larger effect sizes that would go undetected in standard GWAS. The detection and validation of these rare variants presents challenges because of the low allele frequency. Some success in the identification of fetal loci/genes associated with preterm birth using whole genome sequencing and whole exome sequencing (WES) has recently been reported [79]. While encouraging, this is currently expensive technology and methods to leverage the sequencing data to quickly identify and cost-effectively validate variants are needed.
We recently pursued the approach of searching for rare variants in fetal genes that could contribute to risk of PPROM, employing WES to identify the burden of damaging mutations in African-American fetal (neonatal) samples [8, 9]. In one of our studies, our analysis of the WES data focused on genes that either negatively regulate the innate immune response or which encode proteins that protect the host against microbes and their noxious products. Rather than utilizing a prospective candidate gene filter, we decided to develop a WES analysis plan that was not encumbered by preselection and capable of identifying rare damaging variants in African-Americans worth focused evaluation to establish statistically significant association and the mechanism(s) underlying the mutation effect. We hoped to establish a cost effective simple process that could be applied to modest sample sizes.

Methods

Subjects

The subjects in the discovery WES (76 PPROM cases and 43 term controls) and initial confirmatory targeted genotyping for DEFB1 and MBL2 nonsense variants (188 PPROM cases and 175 term controls) have been previously described [8, 9]. The METTL7B SNPs were evaluated with the WES cohort. They were neonates born of self-reported African-American women. Term controls consisted of neonates born from uncomplicated singleton pregnancies (> 37 weeks gestation). PPROM cases were from singleton pregnancies prior to 37 weeks of completed gestation. The diagnosis of membrane rupture was based on pooling of amniotic fluid in the vagina, amniotic fluid ferning patterns and a positive nitrazine test. Women with multiple gestations, fetal anomalies, trauma, connective tissue diseases and medical complications of pregnancy requiring induction of labor were excluded as previously described [8, 9].
The previously published analysis of the DEFB1 and MBL2 nonsense variants included the WES cohort and initial confirmatory targeted genotyping cohort described above [9]. In the present study the METTL7B SNPs were evaluated with the original WES cohort. In addition, we performed targeted genotyping for the DEFB1 and MBL2 nonsense variants on 119 PPROM cases and 199 controls not previously reported. The subjects were recruited from the same populations as the previously reported cohorts using identical inclusion and exclusion criteria. Ninety-four of these PPROM cases and 94 term controls were used for genotyping METTL7B SNPs.

Whole exome sequencing and genotyping

The methods used for WES (50-100X coverage) and analysis of the sequencing data have been described in detail in previous publications [8, 9]. With the number of PPROM cases (76), we had 78% power to detect variants with a minor allele frequency of 0.005. Targeted genotyping was performed on the Agena (previously Sequenom) MassArray iPLEX platform [8, 9]. The primers used for METTL7B genotyping are presented in Additional file 1: Table S1. Only high confidence genotype calls were included in the analysis.

Estimation of African ancestry

To reduce the potential risk that population stratification biased the genetic association tests, the percent African ancestry of the PPROM neonates and term control neonates was determined using ancestry-informative markers as previously described [8, 9]. No significant differences in the percentage of African ancestry were found between PPROM cases and term controls (Means +/− S.D.; West African ancestry: PPROM cases: 0.695 +/− 0.073 (mean + S.D.); Term controls 0.698 +/− 0.087 (p > 0.10)) [9].

RT-PCR analysis

Detection of DEFB1 and METTL7B transcripts in fetal membrane RNA (1 μg) was accomplished by PCR as previously described [8]. The primers used for DEFB1 transcript amplification were forward 5’-CTGAAATCCTGGGTGTTGCC-3′ and reverse 5’-CTTCTGGTCACTCCCAGCTC-3′. The primers used for METTL7B transcript amplification were forward 5’-ACCTGCCTAGACCCAAATCC-3′ and reverse 5′- TTATTTGACAGCCTTTCCCATGA-3′. In both cases, PCR was run for 40 cycles and amplified bands were sequence verified to be the cognate transcripts.

Selection strategy

We developed the following simple screening method for analyzing the WES data: 1) Identify predicted damaging nonsense variants (gnomAD “high confidence”) present only in PPROM cases in the WES discovery panel; 2) Validate the nonsense variants by Sanger sequencing; 3) Verify it is a rare variant (minor allele frequency < 0.01) based on the genome aggregation database (gnomAD: http://​gnomad.​broadinstitute.​org/​); 4) Determine whether the variant/mutation is of African ancestry using a public database (gnomAD); 5) Determine whether the gene is under selective pressure, consistent with an essential role in a biological or pathophysiological process, by a literature review (PubMed: https://​www.​ncbi.​nlm.​nih.​gov/​pubmed/​); 6) Assess whether heterozygous variants could potentially cause a biological effect by altering the expression level or activity of mature protein; 7) Determine whether the gene harboring the nonsense variant is expressed in fetal membranes; 8) Evaluate whether the gene could play a role in the existing pathophysiological concepts of PPROM from the literature; and 9) Conduct follow-up genotyping of the nonsense variant in independent cohorts to test the association of the identified variant with PPROM.

Statistical analysis

The minor allele frequencies for the DEFB1 and MBL2 nonsense variants examined in this report would require a very large number of PPROM cases and controls for an association study to achieve a power of 0.8 and a p value = 0.05. Therefore, we combined all WES and genotyping data reported previously [9] with the results of the genotyping of the additional subjects for each nonsense variant in the analysis. Finding no genetic association with these samples sizes cannot rule out an association. However, the discovery of significant associations, albeit in a study of limited power, does not negate the findings, with the caveat that significant findings from low powered studies may not always replicate.
Associations were examined for statistical significance using Fisher’s Exact test (1-tailed) to determine whether the nonsense variant was overrepresented in PPROM cases. Nominal p values are reported. Correcting for multiple tests (Bonferroni adjustment) a, p value of < 0.017 would be considered the threshold for statistical significance, which was met for the DEFB1 and MBL2 nonsense variants studied.

Results

We detected more than 800 different nonsense variants (stop gain, stop loss, and start loss) in the discovery WES sample of PPROM cases and term controls, approximately 33% of which were unique to PPROM, the majority of which occurred in only one PPROM case, and 30% of the variant types were unique to term controls, with the majority occurring in one term control (Table 1) The remaining approximately one third of the nonsense variants occurred both in PPROM cases and controls, and not unexpectedly were nonsense variants with the highest allele frequency, suggesting that these variants might be tolerated and do not contribute to PPROM risk. Most of these nonsense variants have been previously detected in the human genome. More than 1400 coding sequence frameshift variants and splicing variants, predicted to be or possibly damaging were detected. Since a number of these variants were not previously known, it is uncertain whether they reflect sequencing errors in the WES. We suspect the latter since Sanger sequencing of a number of the DNA samples failed to confirm frameshift mutations. Consequently, we did not include the predicted damaging frameshift and splicing mutations in our screening paradigm.
Table 1
Nonsense Variants in PPROM Cases Identified by WES
Gene
Transcript
dbSNP141
Chr
Start
End
Ref
Obs
Casesa
Controlsa
One variant allele in PPROM Cohort
 ABCA7
NM_019112.3:p.Arg285a/c.853A > T
rs77403558
chr19
1043395
1043395
A
T
0,1,1
0,0,0
 ABCB5
NM_001163941.1:p.Lys626a/c.1876A > T
rs76179099
chr7
20725325
20725325
A
T
0,1,1
0,0,0
 ABCB5
NM_001163941.1:p.Gln1195a/c.3583C > T
rs146527949
chr7
20795056
20795056
C
T
0,1,1
0,0,0
 ABCC3
NM_003786.3:p.Gln132a/c.394C > T
rs201830141
chr17
48734452
48734452
C
T
0,1,1
0,0,0
 ACAD11
NM_032169.4:p.Glu13a/c.37G > T
rs151048899
chr3
132378559
132378559
C
A
0,1,1
0,0,0
 ACOXL
NM_001142807.1:p.Gly577a/c.1729G > T
rs189429375
chr2
111875379
111875379
G
T
0,1,1
0,0,0
 ACTN2
NM_001103.3:p.Glu120a/c.358G > T
 
chr1
236882310
236882310
G
T
0,1,1
0,0,0
 ADAMTS14
NM_139155.2:p.Arg317a/c.949C > T
rs199886417
chr10
72489128
72489128
C
T
0,1,1
0,0,0
 AHCTF1
NM_015446.4:p.Ser1120a/c.3359C > A
 
chr1
247030561
247030561
G
T
0,1,1
0,0,0
 ALDH3B1
NM_000694.3:p.Trp135a/c.405G > A
rs375063489
chr11
67786650
67786650
G
A
0,1,1
0,0,0
 ANGPTL7
NM_021146.3:p.Trp188a/c.563G > A
rs145750805
chr1
11253722
11253722
G
A
0,1,1
0,0,0
 ANKRD65
NM_001243535.1:p.Trp108a/c.323G > A
 
chr1
1354816
1354816
C
T
0,1,1
0,0,0
 AP3B1
NM_003664.4:p.Arg407a/c.1219C > T
 
chr5
77461445
77461445
G
A
0,1,1
0,0,0
 AP5Z1
NM_014855.2:p.Trp441a/c.1322G > A
rs373919408
chr7
4827275
4827275
G
A
0,1,1
0,0,0
 ATP2C2
NM_001286527.2:p.Tyr106a/c.318C > G
 
chr16
84438841
84438841
C
G
0,1,1
0,0,0
 AZU1
NM_001700.3:p.Arg236a/c.706C > T
rs112572343
chr19
831827
831827
C
T
0,1,1
0,0,0
 BCL2L12
NM_138639.1:p.Tyr44a/c.132 T > G
rs141156787
chr19
50169212
50169212
T
G
0,1,1
0,0,0
 BCLAF1
NM_014739.2:p.Arg298a/c.892C > T
rs138333275
chr6
136599127
136599127
G
A
0,1,1
0,0,0
 BPIFB6
NM_174897.2:p.Tyr434a/c.1302C > A
rs140595029
chr20
31631146
31631146
C
A
0,1,1
0,0,0
 C12orf40
NM_001031748.2:p.Gln568a/c.1702C > T
rs140530325
chr12
40114796
40114796
C
T
0,1,1
0,0,0
 C12orf42
NM_001099336.2:p.Glu13a/c.37G > T
rs202081871
chr12
103872168
103872168
C
A
0,1,1
0,0,0
 C12orf56
NM_001170633.1:p.Lys269a/c.805A > T
rs201295265
chr12
64712444
64712444
T
A
0,1,1
0,0,0
 C15orf32
NM_153040.2:p.Lys30a/c.88A > T
rs115999940
chr15
93015466
93015466
A
T
0,1,1
0,0,0
 C18orf54
NM_001288980.1:p.Ser530a/c.1589C > A
rs148065410
chr18
51904603
51904603
C
A
0,1,1
0,0,0
 C20orf173
NM_001145350.1:p.Arg36a/c.106C > T
rs141795719
chr20
34117097
34117097
G
A
0,1,1
0,0,0
 C20orf78
NM_001242671.1:p.Trp115a/c.345G > A
rs146528664
chr20
18790531
18790531
C
T
0,1,1
0,0,0
 C9orf50
NM_199350.3:p.Gln406a/c.1216C > T
rs374957154
chr9
132374706
132374706
G
A
0,1,1
0,0,0
 CACNA1A
NM_023035.2:p.Arg1918a/c.5752C > T
rs16044
chr19
13325415
13325415
G
A
0,1,1
0,0,0
 CAMK4
NM_001744.4:p.Glu439a/c.1315G > T
 
chr5
110820057
110820057
G
T
0,1,1
0,0,0
 CAPN11
NM_007058.3:p.Gln133a/c.397C > T
rs189429774
chr6
44137700
44137700
C
T
0,1,1
0,0,0
 CARD6
NM_032587.3:p.Leu560a/c.1679 T > G
rs150487186
chr5
40853113
40853113
T
G
0,1,1
0,0,0
 CCDC153
NM_001145018.1:p.Arg42a/c.124C > T
rs77842401
chr11
119065645
119065645
G
A
0,1,1
0,0,0
 CCDC168
NM_001146197.1:p.Tyr6396a/c.19188 T > G
rs73587211
chr13
103383859
103383859
A
C
0,1,1
0,0,0
 CCDC3
NM_031455.3:p.Ser188a/c.563C > A
rs150029612
chr10
12940666
12940666
G
T
0,1,1
0,0,0
 CCDC57
NM_198082.2:p.Arg676a/c.2026C > T
rs201336748
chr17
80121090
80121090
G
A
0,1,1
0,0,0
 CCDC60
NM_178499.3:p.Arg520a/c.1558C > T
rs78597191
chr12
119978425
119978425
C
T
0,1,1
0,0,0
 CCT8L2
NM_014406.4:p.Trp320a/c.959G > A
rs144853652
chr22
17072482
17072482
C
T
0,1,1
0,0,0
 CD1A
NM_001763.2:p.Arg249a/c.745C > T
rs149659983
chr1
158226716
158226716
C
T
0,1,1
0,0,0
 CEP135
NM_025009.4:p.Gln824a/c.2470C > T
 
chr4
56876034
56876034
C
T
0,1,1
0,0,0
 CETP
NM_000078.2:p.Glu133a/c.397G > T
 
chr16
57003551
57003551
G
T
0,1,1
0,0,0
 CFHR4
NM_001201550.2:p.Arg41a/c.121A > T
rs199547603
chr1
196871610
196871610
A
T
0,1,1
0,0,0
 CHD1L
NM_004284.4:p.Arg611a/c.1831C > T
 
chr1
146756149
146756149
C
T
0,1,1
0,0,0
 CLEC2A
NM_001130711.1:p.Trp137a/c.411G > A
rs142033208
chr12
10066279
10066279
C
T
0,1,1
0,0,0
 CLEC4A
NM_016184.3:p.Trp176a/c.528G > A
rs115176426
chr12
8289461
8289461
G
A
0,1,1
0,0,0
 COL6A5
NM_001278298.1:p.Gln1184a/c.3550C > T
rs115380050
chr3
130114290
130114290
C
T
0,1,1
0,0,0
 CPA3
NM_001870.2:p.Arg178a/c.532C > T
rs145845146
chr3
148597632
148597632
C
T
0,1,1
0,0,0
 CPA6
NM_020361.4:p.Arg311a/c.931C > T
rs139145929
chr8
68346383
68346383
G
A
0,1,1
0,0,0
 CPO
NM_173077.2:p.Trp102a/c.305G > A
rs138166151
chr2
207823062
207823062
G
A
0,1,1
0,0,0
 CTSV
NM_001201575.1:p.Arg96a/c.286C > T
 
chr9
99799644
99799644
G
A
0,1,1
0,0,0
 CYP1A2
NM_000761.4:p.Tyr495a/c.1485C > A
rs143193369
chr15
75047363
75047363
C
A
0,1,1
0,0,0
 DACT2
NM_001286351.1:p.Ser264a/c.791C > G
 
chr6
168694817
168694817
G
C
0,1,1
0,0,0
 DCDC5
NM_020869.3:p.Arg864a/c.2590C > T
rs200380430
chr11
30900214
30900214
G
A
0,1,1
0,0,0
 DCHS2
NM_017639.3:p.Arg1343a/c.4027C > T
rs150179829
chr4
155226252
155226252
G
A
0,1,1
0,0,0
 DEFB1
NM_005218.3:c.111C>A
rs5743490
chr8
6728299
6728299
G
T
0,1,1
0,0,0
 DLEC1
NM_007337.2:p.Cys1696a/c.5088C > A
rs201487599
chr3
38163847
38163847
C
A
0,1,1
0,0,0
 DNAH10
NM_207437.3:p.Arg3898a/c.11692C > T
 
chr12
124411308
124411308
C
T
0,1,1
0,0,0
 DNAH14
NM_001373.1:p.Glu19a/c.55G > T
rs61745064
chr1
225140459
225140459
G
T
0,1,1
0,0,0
 DRD4
NM_000797.3:p.Glu62a/c.184G > T
 
chr11
637488
637488
G
T
0,1,1
0,0,0
 DTHD1
NM_001170700.2:p.Trp678a/c.2034G > A
rs149895631
chr4
36345134
36345134
G
A
0,1,1
0,0,0
 EBLN2
NM_018029.3:p.Tyr164a/c.492 T > G
rs2231925
chr3
73111724
73111724
T
G
0,1,1
0,0,0
 ECHDC2
NM_001198961.1:p.Trp11a/c.33G > A
rs368731634
chr1
53387313
53387313
C
T
0,1,1
0,0,0
 EDDM3A
NM_006683.4:p.Arg43a/c.127C > T
rs138978934
chr14
21215866
21215866
C
T
0,1,1
0,0,0
 EFCAB13
NM_152347.4:p.Arg236a/c.706C > T
rs78865644
chr17
45438788
45438788
C
T
0,1,1
0,0,0
 EFCAB13
NM_152347.4:p.Lys433a/c.1297A > T
rs74969489
chr17
45452257
45452257
A
T
0,1,1
0,0,0
 EGF
NM_001963.4:p.Gln1095a/c.3283C > T
rs138244768
chr4
110925770
110925770
C
T
0,1,1
0,0,0
 EIF3J
NM_003758.3:p.Glu192a/c.574G > T
 
chr15
44852449
44852449
G
T
0,1,1
0,0,0
 ELOVL5
NM_001242830.1:p.Gly246a/c.736G > T
rs41273878
chr6
53133964
53133964
C
A
0,1,1
0,0,0
 ELOVL5
NM_001242828.1:p.Gln102a/c.304C > T
rs150583340
chr6
53152683
53152683
G
A
0,1,1
0,0,0
 ELP4
NM_001288725.1:p.Gln385a/c.1153C > T
 
chr11
31784965
31784965
C
T
0,1,1
0,0,0
 ENGASE
NM_001042573.2:p.Arg352a/c.1054C > T
rs149186913
chr17
77079117
77079117
C
T
0,1,1
0,0,0
 EOGT
NM_001278689.1:p.Lys188a/c.562A > T
rs116711473
chr3
69053587
69053587
T
A
0,1,1
0,0,0
 EPB41L4A
NM_022140.3:p.Arg348a/c.1042C > T
rs368151776
chr5
111570376
111570376
G
A
0,1,1
0,0,0
 EVC2
NM_147127.4:p.Lys342a/c.1024A > T
 
chr4
5664955
5664955
T
A
0,1,1
0,0,0
 EVPL
NM_001988.2:p.Gln938a/c.2812C > T
rs151046085
chr17
74006474
74006474
G
A
0,1,1
0,0,0
 EVPLL
NM_001145127.1:p.Trp209a/c.627G > A
rs182498101
chr17
18286454
18286454
G
A
0,1,1
0,0,0
 EYS
NM_001292009.1:p.Trp2090a/c.6270G > A
 
chr6
64940639
64940639
C
T
0,1,1
0,0,0
 FAM179A
NM_199280.2:p.Arg162a/c.484C > T
rs183676260
chr2
29225458
29225458
C
T
0,1,1
0,0,0
 FAM187B
NM_152481.1:p.Trp231a/c.693G > A
rs35001809
chr19
35718891
35718891
C
T
0,1,1
0,0,0
 FAM200A
NM_145111.3:p.Leu61a/c.182 T > G
 
chr7
99145849
99145849
A
C
0,1,1
0,0,0
 FAM227B
NM_152647.2:p.Arg5a/c.13C > T
rs140471517
chr15
49907356
49907356
G
A
0,1,1
0,0,0
 FAM60A
NM_001135811.1:p.Ser70a/c.209C > A
 
chr12
31448187
31448187
G
T
0,1,1
0,0,0
 FASTKD1
NM_024622.4:p.Ser768a/c.2303C > G
rs34291832
chr2
170387886
170387886
G
C
0,1,1
0,0,0
 FBXL21
NM_012159.4:p.Trp72a/c.215G > A
rs148275750
chr5
135272498
135272498
G
A
0,1,1
0,0,0
 FBXO48
NM_001024680.1:p.Glu134a/c.400G > T
rs148116960
chr2
68691409
68691409
C
A
0,1,1
0,0,0
 FCRL6
NM_001004310.2:p.Gln406a/c.1216C > T
 
chr1
159785362
159785362
C
T
0,1,1
0,0,0
 FDXR
NM_001258013.2:p.Gln66a/c.196C > T
rs187001043
chr17
72868325
72868325
G
A
0,1,1
0,0,0
 FMO1
NM_001282692.1:p.Arg506a/c.1516C > T
rs60639054
chr1
171254588
171254588
C
T
0,1,1
0,0,0
 FREM3
NM_001168235.1:p.Gln166a/c.496C > T
 
chr4
144621333
144621333
G
A
0,1,1
0,0,0
 FTCD
NM_006657.2:p.Arg71a/c.211C > T
rs8133955
chr21
47574090
47574090
G
A
0,1,1
0,0,0
 FXYD3
NM_001136007.1:p.Arg45a/c.133C > T
 
chr19
35610131
35610131
C
T
0,1,1
0,0,0
 GAL3ST4
NM_024637.4:p.Trp289a/c.867G > A
rs147809354
chr7
99758145
99758145
C
T
0,1,1
0,0,0
 GCAT
NM_001171690.1:p.Trp2a/c.5G > A
rs202183602
chr22
38203979
38203979
G
A
0,1,1
0,0,0
 GNB3
NM_002075.3:p.Lys89a/c.265A > T
 
chr12
6952399
6952399
A
T
0,1,1
0,0,0
 GP6
NM_001083899.2:p.Trp429a/c.1287G > A
rs74697203
chr19
55526026
55526026
C
T
0,1,1
0,0,0
 GPR148
NM_207364.2:p.Arg81a/c.241C > T
rs140681574
chr2
131486965
131486965
C
T
0,1,1
0,0,0
 GSG1
NM_001080555.2:p.Arg160a/c.478A > T
 
chr12
13241799
13241799
T
A
0,1,1
0,0,0
 GTDC1
NM_001284238.1:p.Trp9a/c.26G > A
rs145066970
chr2
144934759
144934759
C
T
0,1,1
0,0,0
 GUCA1C
NM_005459.3:p.Glu18a/c.52G > T
rs143174402
chr3
108672558
108672558
C
A
0,1,1
0,0,0
 HEPHL1
NM_001098672.1:p.Trp96a/c.288G > A
 
chr11
93778956
93778956
G
A
0,1,1
0,0,0
 HERC6
NM_017912.3:p.Gln1021a/c.3061C > T
rs4413373
chr4
89363604
89363604
C
T
0,1,1
0,0,0
 HIST1H1T
NM_005323.3:p.Arg168a/c.502A > T
rs35191055
chr6
26107820
26107820
T
A
0,1,1
0,0,0
 HKDC1
NM_025130.3:p.Trp721a/c.2163G > A
rs147565138
chr10
71018662
71018662
G
A
0,1,1
0,0,0
 HMCN2
NM_001291815.1:p.Arg3622a/c.10864C > T
 
chr9
133281539
133281539
C
T
0,1,1
0,0,0
 HRG
NM_000412.3:p.Glu294a/c.880G > T
rs140336956
chr3
186394974
186394974
G
T
0,1,1
0,0,0
 HSD17B14
NM_016246.2:p.Arg79a/c.235C > T
rs139341223
chr19
49335965
49335965
G
A
0,1,1
0,0,0
 IQCE
NM_001287499.1:p.Ser366a/c.1097C > A
rs367705543
chr7
2629593
2629593
C
A
0,1,1
0,0,0
 ITGA10
NM_003637.3:p.Arg313a/c.937C > T
 
chr1
145532484
145532484
C
T
0,1,1
0,0,0
 JMJD7-PLA2G4B
NM_005090.3:p.Arg486a/c.1456C > T
rs199962342
chr15
42135893
42135893
C
T
0,1,1
0,0,0
 KCNJ16
NM_001291622.1:p.Gly168a/c.502G > T
 
chr17
68128625
68128625
G
T
0,1,1
0,0,0
 KCNJ16
NM_001291622.1:p.Arg337a/c.1009C > T
rs142625269
chr17
68129132
68129132
C
T
0,1,1
0,0,0
 KCNJ18
NM_001194958.2:p.Arg399a/c.1195C > T
rs144702327
chr17
21319849
21319849
C
T
0,1,1
0,0,0
 KCNU1
NM_001031836.2:p.Trp768a/c.2303G > A
 
chr8
36767025
36767025
G
A
0,1,1
0,0,0
 KIAA0319L
NM_024874.4:p.Arg1019a/c.3055C > T
 
chr1
35900590
35900590
G
A
0,1,1
0,0,0
 KIAA0753
NM_014804.2:p.Gln896a/c.2686C > T
rs149782904
chr17
6493199
6493199
G
A
0,1,1
0,0,0
 KIF27
NM_017576.2:p.Arg1336a/c.4006C > T
rs371473677
chr9
86452116
86452116
G
A
0,1,1
0,0,0
 KLHDC7A
NM_152375.2:p.Gln252a/c.754C > T
rs115859684
chr1
18808229
18808229
C
T
0,1,1
0,0,0
 KLHDC9
NM_152366.4:p.Trp223a/c.669G > A
rs150493322
chr1
161069277
161069277
G
A
0,1,1
0,0,0
 KLHL33
NM_001109997.2:p.Arg230a/c.688C > T
 
chr14
20898147
20898147
G
A
0,1,1
0,0,0
 KLK4
NM_004917.3:p.Trp153a/c.458G > A
rs104894704
chr19
51411852
51411852
C
T
0,1,1
0,0,0
 KLRF1
NM_016523.2:p.Trp128a/c.383G > A
 
chr12
9994456
9994456
G
A
0,1,1
0,0,0
 LFNG
NM_001166355.1:p.Ser27a/c.80C > A
rs372947239
chr7
2552823
2552823
C
A
0,1,1
0,0,0
 LHX4
NM_033343.3:p.Gln29a/c.85C > T
 
chr1
180217428
180217428
C
T
0,1,1
0,0,0
 LILRB2
NM_005874.4:p.Glu161a/c.481G > T
rs370409653
chr19
54783377
54783377
C
A
0,1,1
0,0,0
 LTBP4
NM_001042544.1:p.Trp1176a/c.3527G > A
rs35079932
chr19
41128415
41128415
G
A
0,1,1
0,0,0
 LY9
NM_002348.3:p.Arg478a/c.1432C > T
rs145664274
chr1
160788097
160788097
C
T
0,1,1
0,0,0
 MAFA
NM_201589.3:p.Lys346a/c.1036A > T
 
chr8
144511541
144511541
T
A
0,1,1
0,0,0
 MALRD1
NM_001142308.2:p.Gln888a/c.2662C > T
 
chr10
19498280
19498280
C
T
0,1,1
0,0,0
 MARK1
NM_001286124.1:p.Arg548a/c.1642C > T
 
chr1
220825398
220825398
C
T
0,1,1
0,0,0
 MBL2
NM_000242.2:p.Glu210ac.628G > T
rs74754826
chr10
54528016
54528016
C
A
0,1,1
0,0,0
 MCEMP1
NM_174918.2:p.Gln183a/c.547C > T
rs113286748
chr19
7743869
7743869
C
T
0,1,1
0,0,0
 MDM1
NM_017440.4:p.Arg643a/c.1927C > T
rs147627177
chr12
68696445
68696445
G
A
0,1,1
0,0,0
 MDN1
NM_014611.2:p.Glu4974a/c.14920G > T
 
chr6
90368430
90368430
C
A
0,1,1
0,0,0
 METTL2A
NM_181725.3:p.Arg291a/c.871C > T
rs147656413
chr17
60522259
60522259
C
T
0,1,1
0,0,0
 MGAT4D
NM_001277353.1:p.Lys372a/c.1114A > T
 
chr4
141372566
141372566
T
A
0,1,1
0,0,0
 MIB1
NM_020774.3:p.Gln219a/c.655C > T
 
chr18
19358082
19358082
C
T
0,1,1
0,0,0
 MIB2
NM_001170689.1:p.Gln739a/c.2215C > T
rs146481628
chr1
1565047
1565047
C
T
0,1,1
0,0,0
 MLANA
NM_005511.1:p.Arg51a/c.151C > T
 
chr9
5897630
5897630
C
T
0,1,1
0,0,0
 MLF1
NM_001195432.1:p.Arg194a/c.580C > T
 
chr3
158317881
158317881
C
T
0,1,1
0,0,0
 MROH2A
NM_001287395.1:p.Gln944a/c.2830C > T
 
chr2
234723288
234723288
C
T
0,1,1
0,0,0
 MST1R
NM_002447.2:p.Gln690a/c.2068C > T
rs61734381
chr3
49934828
49934828
G
A
0,1,1
0,0,0
 MST1R
NM_002447.2:p.Lys621a/c.1861A > T
rs9819888
chr3
49935503
49935503
T
A
0,1,1
0,0,0
 MUC12
NM_001164462.1:p.Arg171a/c.511C > T
 
chr7
100634355
100634355
C
T
0,1,1
0,0,0
 MUC19
NM_173600.2:p.Arg7595a/c.22783C > T
rs183548726
chr12
40938465
40938465
C
T
0,1,1
0,0,0
 MYOM3
NM_152372.3:p.Arg513a/c.1537C > T
 
chr1
24416105
24416105
G
A
0,1,1
0,0,0
 NARR
NM_001256281.1:p.Gln177a/c.529C > T
rs140500150
chr17
27043980
27043980
G
A
0,1,1
0,0,0
 NCOA1
NM_003743.4:p.Arg1122a/c.3364C > T
 
chr2
24964713
24964713
C
T
0,1,1
0,0,0
 NGB
NM_021257.3:p.Gln11a/c.31C > T
 
chr14
77737250
77737250
G
A
0,1,1
0,0,0
 NIPSNAP3A
NM_015469.1:p.Arg96a/c.286C > T
rs34856872
chr9
107515201
107515201
C
T
0,1,1
0,0,0
 NKX1–2
NM_001146340.1:p.Trp4a/c.12G > A
 
chr10
126138501
126138501
C
T
0,1,1
0,0,0
 NLRP12
NM_001277126.1:p.Arg1017a/c.3049C > T
rs35064500
chr19
54299165
54299165
G
A
0,1,1
0,0,0
 NME3
NM_002513.2:p.Trp159a/c.477G > A
rs140703991
chr16
1820683
1820683
C
T
0,1,1
0,0,0
 NUDT7
NM_001105663.2:p.Glu8a/c.22G > T
rs182579196
chr16
77756501
77756501
G
T
0,1,1
0,0,0
 OAS1
NM_001032409.1:p.Arg73a/c.217C > T
rs147431531
chr12
113346377
113346377
C
T
0,1,1
0,0,0
 OR10K1
NM_001004473.1:p.Tyr259a/c.777C > A
rs143219550
chr1
158436128
158436128
C
A
0,1,1
0,0,0
 OR10R2
NM_001004472.1:p.Lys73a/c.217A > T
 
chr1
158449884
158449884
A
T
0,1,1
0,0,0
 OR1G1
NM_003555.1:p.Ser95a/c.284C > G
 
chr17
3030562
3030562
G
C
0,1,1
0,0,0
 OR2M4
NM_017504.1:p.Arg223a/c.667C > T
rs143728385
chr1
248402897
248402897
C
T
0,1,1
0,0,0
 OR4M2
NM_001004719.2:p.Tyr177a/c.531C > G
rs148183880
chr15
22369106
22369106
C
G
0,1,1
0,0,0
 OR5A1
NM_001004728.1:p.Arg125a/c.373C > T
rs150073749
chr11
59211014
59211014
C
T
0,1,1
0,0,0
 OR5M11
NM_001005245.1:p.Tyr126a/c.378 T > A
rs17547284
chr11
56310356
56310356
A
T
0,1,1
0,0,0
 OR8I2
NM_001003750.1:p.Tyr289a/c.867C > G
rs61887097
chr11
55861650
55861650
C
G
0,1,1
0,0,0
 OR8U8
NM_001013356.2:p.Trp270a/c.810G > A
rs140673261
chr11
56143919
56143919
G
A
0,1,1
0,0,0
 P2RY4
NM_002565.3:p.Trp348a/c.1043G > A
rs41310667
chrX
69478432
69478432
C
T
0,1,1
0,0,0
 PADI2
NM_007365.2:p.Gln340a/c.1018C > T
rs142403504
chr1
17410253
17410253
G
A
0,1,1
0,0,0
 PCDHGA10
NM_018913.2:p.Tyr331a/c.993 T > G
 
chr5
140793735
140793735
T
G
0,1,1
0,0,0
 PCOLCE2
NM_013363.3:p.Arg204a/c.610C > T
rs143280691
chr3
142557712
142557712
G
A
0,1,1
0,0,0
 PCSK6
NM_002570.4:p.Arg413a/c.1237C > T
rs77239269
chr15
101929740
101929740
G
A
0,1,1
0,0,0
 PCSK9
NM_174936.3:p.Cys679a/c.2037C > A
rs28362286
chr1
55529215
55529215
C
A
0,1,1
0,0,0
 PDE5A
NM_001083.3:p.Gln860a/c.2578C > T
rs140289122
chr4
120419806
120419806
G
A
0,1,1
0,0,0
 PDIA6
NM_001282705.1:p.Arg13a/c.37C > T
 
chr2
10977695
10977695
G
A
0,1,1
0,0,0
 PEG3
NM_001146184.1:p.Trp16a/c.48G > A
 
chr19
57335976
57335976
C
T
0,1,1
0,0,0
 PEG3
NM_001146184.1:p.Lys14a/c.40A > T
 
chr19
57335984
57335984
T
A
0,1,1
0,0,0
 PEX7
NM_000288.3:p.Leu292a/c.875 T > A
rs1805137
chr6
137219351
137219351
T
A
0,1,1
0,0,0
 PIF1
NM_001286497.1:p.Glu49a/c.145G > T
rs75683534
chr15
65116390
65116390
C
A
0,1,1
0,0,0
 PLA2R1
NM_007366.4:p.Cys1377a/c.4131 T > A
rs145354671
chr2
160801430
160801430
A
T
0,1,1
0,0,0
 PLCD4
NM_032726.3:p.Arg117a/c.349C > T
rs146112514
chr2
219483469
219483469
C
T
0,1,1
0,0,0
 PLCL2
NM_001144382.1:p.Arg1115a/c.3343C > T
rs149144281
chr3
17131374
17131374
C
T
0,1,1
0,0,0
 POLR3B
NM_018082.5:p.Glu374a/c.1120G > T
 
chr12
106820993
106820993
G
T
0,1,1
0,0,0
 PROSER3
NM_001039887.2:p.Arg439a/c.1315C > T
rs375920305
chr19
36259319
36259319
C
T
0,1,1
0,0,0
 PRSS41
NM_001135086.1:p.Gln69a/c.205C > T
 
chr16
2849034
2849034
C
T
0,1,1
0,0,0
 PSME1
NM_176783.2:p.Gln229a/c.685C > T
rs370880151
chr14
24607785
24607785
C
T
0,1,1
0,0,0
 PSRC1
NM_001005290.3:p.Lys249a/c.745A > T
rs116389032
chr1
109823457
109823457
T
A
0,1,1
0,0,0
 PTBP3
NM_001244898.1:p.Arg56a/c.166C > T
rs143872137
chr9
115038264
115038264
G
A
0,1,1
0,0,0
 PTGDR
NM_000953.2:p.Trp48a/c.143G > A
rs41533946
chr14
52734675
52734675
G
A
0,1,1
0,0,0
 PXDNL
NM_144651.4:p.Cys1258a/c.3774 T > A
rs117752382
chr8
52284560
52284560
A
T
0,1,1
0,0,0
 PZP
NM_002864.2:p.Gln1168a/c.3502C > T
rs143616823
chr12
9309819
9309819
G
A
0,1,1
0,0,0
 RABEP1
NM_004703.5:p.Arg270a/c.808C > T
 
chr17
5253769
5253769
C
T
0,1,1
0,0,0
 RABEPK
NM_001174152.1:p.Arg113a/c.337C > T
rs199553121
chr9
127975774
127975774
C
T
0,1,1
0,0,0
 RGS11
NM_183337.2:p.Arg133a/c.397C > T
rs149201684
chr16
324075
324075
G
A
0,1,1
0,0,0
 RNF133
NM_139175.1:p.Arg240a/c.718C > T
rs141697772
chr7
122338255
122338255
G
A
0,1,1
0,0,0
 RNPC3
NM_017619.3:p.Gln185a/c.553C > T
 
chr1
104078061
104078061
C
T
0,1,1
0,0,0
 RPGRIP1
NM_020366.3:p.Arg52a/c.154C > T
rs192003551
chr14
21762904
21762904
C
T
0,1,1
0,0,0
 RPTN
NM_001122965.1:p.Arg771a/c.2311C > T
rs192865821
chr1
152127264
152127264
G
A
0,1,1
0,0,0
 SCAND1
NM_033630.2:p.Trp43a/c.128G > A
 
chr20
34542376
34542376
C
T
0,1,1
0,0,0
 SCD5
NM_024906.2:p.Gln192a/c.574C > T
 
chr4
83582226
83582226
G
A
0,1,1
0,0,0
 SCUBE2
NM_001170690.1:p.Cys548a/c.1644C > A
 
chr11
9055237
9055237
G
T
0,1,1
0,0,0
 SDSL
NM_138432.2:p.Leu280a/c.839 T > G
 
chr12
113875733
113875733
T
G
0,1,1
0,0,0
 SFTPD
NM_003019.4:p.Gln80a/c.238C > T
rs79085361
chr10
81702597
81702597
G
A
0,1,1
0,0,0
 SLC16A4
NM_004696.2:p.Trp482a/c.1446G > A
rs114581294
chr1
110906406
110906406
C
T
0,1,1
0,0,0
 SLC22A11
NM_018484.2:p.Arg48a/c.142C > T
rs35008345
chr11
64323613
64323613
C
T
0,1,1
0,0,0
 SLC22A24
NM_001136506.2:p.Arg347a/c.1039C > T
rs374095536
chr11
62863494
62863494
G
A
0,1,1
0,0,0
 SLC2A5
NM_003039.2:p.Ser291a/c.872C > A
 
chr1
9099872
9099872
G
T
0,1,1
0,0,0
 SLC5A8
NM_145913.3:p.Lys183a/c.547A > T
 
chr12
101587548
101587548
T
A
0,1,1
0,0,0
 SLC6A18
NM_182632.2:p.Gln249a/c.745C > T
rs200802505
chr5
1239577
1239577
C
T
0,1,1
0,0,0
 SPATA24
NM_194296.1:p.Gln185a/c.553C > T
rs183526939
chr5
138732554
138732554
G
A
0,1,1
0,0,0
 SPERT
NM_152719.2:p.Trp135a/c.405G > A
 
chr13
46287565
46287565
G
A
0,1,1
0,0,0
 SSPO
NM_198455.2:p.Gln2048a/c.6142C > T
rs200402989
chr7
149491941
149491941
C
T
0,1,1
0,0,0
 STMND1
NM_001190766.1:p.Gln60a/c.178C > T
rs146229126
chr6
17115289
17115289
C
T
0,1,1
0,0,0
 TAS2R19
NM_176888.1:p.Arg39a/c.115C > T
rs146593308
chr12
11175056
11175056
G
A
0,1,1
0,0,0
 TAS2R20
NM_176889.2:p.Trp35a/c.104G > A
rs116400924
chr12
11150371
11150371
C
T
0,1,1
0,0,0
 TMEM150B
NM_001085488.2:p.Cys45a/c.135C > A
 
chr19
55831820
55831820
G
T
0,1,1
0,0,0
 TMEM70
NM_017866.5:p.Arg80a/c.238C > T
rs387907070
chr8
74891018
74891018
C
T
0,1,1
0,0,0
 TMX4
NM_021156.2:p.Gln69a/c.205C > T
rs373356438
chr20
7990934
7990934
G
A
0,1,1
0,0,0
 TOR1AIP1
NM_001267578.1:p.Ser50a/c.149C > A
 
chr1
179851786
179851786
C
A
0,1,1
0,0,0
 TREX2
NM_080701.3:p.Arg87a/c.259C > T
rs141078733
chrX
152710630
152710630
G
A
0,1,1
0,0,0
 TRIOBP
NM_001039141.2:p.Arg1025a/c.3073C > T
 
chr22
38121636
38121636
C
T
0,1,1
0,0,0
 TSPAN19
NM_001100917.1:p.Gly19a/c.55G > T
rs188656791
chr12
85423670
85423670
C
A
0,1,1
0,0,0
 TTC22
NM_017904.3:p.Arg342a/c.1024C > T
rs2270002
chr1
55251314
55251314
G
A
0,1,1
0,0,0
 TTC25
NM_031421.3:p.Glu602a/c.1804G > T
rs375330943
chr17
40117478
40117478
G
T
0,1,1
0,0,0
 TTLL3
NM_001025930.3:p.Arg704a/c.2110C > T
rs115917139
chr3
9874914
9874914
C
T
0,1,1
0,0,0
 UBAP1L
NM_001163692.1:p.Glu34a/c.100G > T
 
chr15
65398454
65398454
C
A
0,1,1
0,0,0
 UGT1A7
NM_019077.2:p.Tyr81a/c.243C > A
rs149618508
chr2
234590826
234590826
C
A
0,1,1
0,0,0
 UGT2A1
NM_001252274.2:p.Tyr192a/c.576 T > A
rs111696697
chr4
70512787
70512787
A
T
0,1,1
0,0,0
 UMODL1
NM_173568.3:p.Trp1379a/c.4136G > A
rs376098587
chr21
43549884
43549884
G
A
0,1,1
0,0,0
 UPK3A
NM_006953.3:p.Ser87a/c.260C > A
rs138918236
chr22
45683104
45683104
C
A
0,1,1
0,0,0
 UTS2B
NM_198152.3:p.Arg111a/c.331C > T
rs16866426
chr3
190993044
190993044
G
A
0,1,1
0,0,0
 VSIG10L
NM_001163922.1:p.Gly340a/c.1018G > T
 
chr19
51843858
51843858
C
A
0,1,1
0,0,0
 VWCE
NM_152718.2:p.Gln866a/c.2596C > T
rs61729958
chr11
61026419
61026419
G
A
0,1,1
0,0,0
 WDR33
NM_001006622.2:p.Trp265a/c.794G > A
 
chr2
128522234
128522234
C
T
0,1,1
0,0,0
 WDR49
NM_178824.3:p.Ser330a/c.989C > A
 
chr3
167250675
167250675
G
T
0,1,1
0,0,0
 WRN
NM_000553.4:p.Arg369a/c.1105C > T
rs17847577
chr8
30938648
30938648
C
T
0,1,1
0,0,0
 ZBED6CL
NM_138434.2:p.Gln29a/c.85C > T
rs73474332
chr7
150027578
150027578
C
T
0,1,1
0,0,0
 ZIM3
NM_052882.1:p.Lys438a/c.1312A > T
rs111350153
chr19
57646393
57646393
T
A
0,1,1
0,0,0
 ZNF107
NM_001282359.1:p.Ser181a/c.542C > G
rs200723270
chr7
64167017
64167017
C
G
0,1,1
0,0,0
 ZNF135
NM_007134.1:p.Glu221a/c.661G > T
rs148932599
chr19
58578441
58578441
G
T
0,1,1
0,0,0
 ZNF154
NM_001085384.2:p.Arg192a/c.574C > T
rs74939505
chr19
58213743
58213743
G
A
0,1,1
0,0,0
 ZNF200
NM_003454.3:p.Arg392a/c.1174C > T
rs138531369
chr16
3273906
3273906
G
A
0,1,1
0,0,0
 ZNF211
NM_001265597.1:p.Tyr602a/c.1806 T > A
rs146505315
chr19
58153465
58153465
T
A
0,1,1
0,0,0
 ZNF665
NM_024733.3:p.Gln154a/c.460C > T
rs74974920
chr19
53669283
53669283
G
A
0,1,1
0,0,0
 ZNF718
NM_001289930.1:p.Gln278a/c.832C > T
rs116083456
chr4
155530
155530
C
T
0,1,1
0,0,0
 ZNF781
NM_152605.3:p.Arg53a/c.157C > T
rs140682866
chr19
38160893
38160893
G
A
0,1,1
0,0,0
 ZSCAN9
NM_001199479.1:p.Arg193a/c.577C > T
rs76542212
chr6
28198122
28198122
C
T
0,1,1
0,0,0
More than one allele in PPROM Cohort
 ABCB5
NM_001163941.1:p.Arg353a/c.1057C > T
rs150279505
chr7
20687233
20687233
C
T
0,2,2
0,0,0
 ACSM3
NM_005622.3:p.Trp292a/c.875G > A
rs52817836
chr16
20792388
20792388
G
A
0,2,2
0,0,0
 ALPK1
NM_001102406.1:p.Trp595a/c.1785G > A
rs116802171
chr4
113352488
113352488
G
A
0,2,2
0,0,0
 AMZ1
NM_001284355.1:p.Arg292a/c.874C > T
rs55919423
chr7
2752059
2752059
C
T
0,4,4
0,0,0
 AOAH
NM_001177506.1:p.Gln556a/c.1666C > T
rs145455591
chr7
36554130
36554130
G
A
0,2,2
0,0,0
 C9orf129
NM_001098808.1:p.Gln170a/c.508C > T
rs115115786
chr9
96080763
96080763
G
A
0,3,3
0,0,0
 CLEC6A
NM_001007033.1:p.Ser200a/c.599C > A
rs114953954
chr12
8630029
8630029
C
A
0,2,2
0,0,0
 COL6A6
NM_001102608.1:p.Gly1434a/c.4300G > T
rs140872639
chr3
130311412
130311412
G
T
0,2,2
0,0,0
 COQ6
NM_182480.2:p.Trp14a/c.41G > A
rs17094161
chr14
74416836
74416836
G
A
0,6,6
0,0,0
 EFCAB5
NM_198529.3:p.Gln952a/c.2854C > T
rs73274829
chr17
28405349
28405349
C
T
0,2,2
0,0,0
 ERVMER34–1
NM_001242690.1:p.Trp68a/c.204G > A
rs61731313
chr4
53611484
53611484
C
T
0,2,2
0,0,0
 HSD17B13
NM_178135.4:p.Trp150a/c.450G > A
rs61748262
chr4
88238244
88238244
C
T
0,2,2
0,0,0
 HTR4
NM_001286410.1:p.Lys389a/c.1165A > T
rs58336229
chr5
147861104
147861104
T
A
0,2,2
0,0,0
 KCNMB3
NM_014407.3:p.Trp106a/c.317G > A
rs145138176
chr3
178962425
178962425
C
T
0,2,2
0,0,0
 KRT74
NM_175053.3:p.Gln285a/c.853C > T
rs147781415
chr12
52964608
52964608
G
A
0,2,2
0,0,0
 MAGEE2
NM_138703.4:p.Glu120a/c.358G > T
rs1343879
chrX
75004529
75004529
C
A
1,0,2
0,0,0
 MATK
NM_002378.3:p.Arg9a/c.25C > T
rs74830030
chr19
3789321
3789321
G
A
0,2,2
0,0,0
 METTL7B
NM_152637.2:p.Arg224a/c.670C > T
rs115687886
chr12
56077768
56077768
C
T
0,7,7
0,0,0
 MROH2B
NM_173489.4:p.Trp191a/c.572G > A
rs1023840
chr5
41061715
41061715
C
T
0,3,3
0,0,0
 MUC19
NM_173600.2:p.Gln8113a/c.24337C > T
rs75211948
chr12
40961512
40961512
C
T
0,3,3
0,0,0
 OPRM1
NM_001008503.2:p.Arg401a/c.1201C > T
rs34427887
chr6
154567863
154567863
C
T
0,2,2
0,0,0
 OR10Z1
NM_001004478.1:p.Tyr153a/c.459C > A
rs148998855
chr1
158576687
158576687
C
A
0,3,3
0,0,0
 OR6C6
NM_001005493.1:p.Leu200a/c.599 T > A
rs76796682
chr12
55688418
55688418
A
T
0,2,2
0,0,0
 PHF19
NM_001009936.2:p.Gln180a/c.538C > T
rs112858270
chr9
123632050
123632050
G
A
0,3,3
0,0,0
 PKD1L2
NM_052892.3:p.Trp1184a/c.3551G > A
rs147079883
chr16
81194437
81194437
C
T
1,1,3
0,0,0
 PLCXD2
NM_001185106.1:p.Trp292a/c.876G > A
rs77085054
chr3
111451475
111451475
G
A
0,2,2
0,0,0
 RNF212
NM_001193318.2:p.Gln188a/c.562C > T
rs60035268
chr4
1087487
1087487
G
A
0,4,4
0,0,0
 SLC10A5
NM_001010893.2:p.Leu201a/c.602 T > A
rs112999969
chr8
82606606
82606606
A
T
0,2,2
0,0,0
 TAS2R46
NM_176887.2:p.Gln288a/c.862C > T
rs150894148
chr12
11214032
11214032
G
A
0,2,2
0,0,0
 TCHHL1
NM_001008536.1:p.Gln294a/c.880C > T
rs61749316
chr1
152059278
152059278
G
A
0,4,4
0,0,0
 ULBP3
NM_024518.1:p.Glu110a/c.328G > T
rs34672740
chr6
150387059
150387059
C
A
0,2,2
0,0,0
 ZAN
NM_003386.2:p.Trp1883a/c.5649G > A
rs2293766
chr7
100371358
100371358
G
A
1,4,6
0,0,0
 ZNF486
NM_052852.3:p.Tyr210a/c.630C > G
rs184976796
chr19
20308149
20308149
C
G
0,2,2
0,0,0
 ZNF594
NM_032530.1:p.Glu684a/c.2050G > T
rs114754534
chr17
5085502
5085502
C
A
0,2,2
0,0,0
 ZP4
NM_021186.3:p.Arg252a/c.754C > T
 
chr1
238050156
238050156
G
T
0,2,2
0,0,0
WES (50–100 X coverage) data were analyzed as described in (Modi et al., 2017a,b) to extract nonsense variants
All nonsense variants were identified by WES and only selected variants were confirmed by Sanger sequencing
Chr chromosome
aAllele count: Homozygous, Heterozygous, Total Alleles
A heterozygous nonsense variant (rs5743490) of African ancestry in the Defensin Beta 1 (DEFB1) gene, which encodes a small cysteine-rich cationic peptide that damages the cellular membranes of bacteria and some viruses, was found in PPROM cases in our initial WES and targeted genotyping [9], but not in neonates born at term (Tables 1, 2, 3 and 4). No other loss of function variants, including splicing variants and frameshift variants, were identified in DEFB1 in our WES. DEFB1 is expressed by the fetal membranes [9] (Additional file 2: Figure S1).
Table 2
SNPs Evaluated
 
rs Number
Nucleotide Change
Protein Sequence Change
Ancestry
MAF
DEFB1
rs5743490
G/T
p.Cys37Ter
African
0.0008586
MBL2
rs74754826
C/A
p.Glu210Ter
African
0.000594
METTL7B
rs115687886
C/T
p.Arg224Ter
African
0.004004
rs138407179
G/T
p.Gly80Ter
African
7.941e-05
rs146636131
G/T
p.Arg224Leu
African
0.0005122
MAF Minor allele frequency from gnomAD
Table 3
Putative Ancestry-Specific Variants Conferring Risk of PPROM
 
DEFB1 rs5743490
MBL2 rs74754826
METTL7B rs115687886
Present in cases only in WES?
Yesa
Yesa
Yes
Validated by Sanger sequencing?
Yesa
Yesa
Yes
Rare?
Yes
Yes
Yes
African ancestry?
Yes
Yes
Yes
Under selective pressure?
Yes
Yes
?
Heterozygous impact?
Plausible
Plausible
?
Expressed in fetal membranes?
Yes
Yesa
Yes
Plausible pathophysiology?
Yes
Yes
?
Replication?
Yes
Yes
No
aData derived from the present report and Modi et al. [9]
Table 4
Allele Counts and Minor Allele Frequencies
rs Number
Term
PPROM
MAC/TA
Homo
Het
MAF
MAC/TA
Homo
Het
MAF
p Value (nominal)
rs5743490 Combineda
1/751
0
1
0.0013
10/694
1
8
0 .0144
(p < 0.004)
rs74754826 Combineda
1/751
0
1
0.0013
8/694
1
8
0.0115
(p < 0.015)
rs115687886 Combined
10(9)/254
1
8(7)
0.035
20(19)/318
0
20(19)
0.060
(p > 0.05)
MAC/TA Minor allele count/total alleles, MAF Minor allele frequency, Homo Homozygous, Het Heterozygous
(9) = rs115687886 nonsense mutations subtracting out those with an adjacent rs1466636131 minor allele
a Data derived from the present study and Modi et al. [9]
The DEFB1 rs5743490 SNP has two alternative minor alleles, C/T (African ancestry), which creates a stop codon; and G/A (Latino ancestry), which produces a synonymous amino acid change. We verified by Sanger sequencing that the minor allele of rs5743490 that we detected encoded a stop codon [9]. This DEFB1 nonsense variant truncates the DEFB1 protein 4 amino acids into the mature peptide amino acid sequence so that no functional DEFB1 would be made [10]. However, the mutant protein, if expressed, could have dominant negative activity by preventing proteolytic processing of the un-mutated pro-peptide encoded by the normal allele. Thus, heterozygous mutations could possibly be functionally significant.
An additional 115 PPROM cases and 191 controls were subsequently genotyped for the DEFB1 nonsense mutation, yielding more nonsense mutations in PPROM cases, including a neonate with a homozygous DEFB1 nonsense variant, and only one mutant allele in a term control (Table 4). A statistically significant association of the rs5743490 nonsense mutation and PPROM was present in the combined cohorts (Table 4) (p < 0.004 by Fisher’s Exact test, 1-tailed).
We discovered another rare nonsense variant of African ancestry (rs74754826) in the MBL2 gene, which encodes mannose binding lectin-2, a protein involved in anti-microbial host defense [9]. It was only detected in PPROM cases (WES and initial targeted genotyping), and it met the screening criteria for being a PPROM candidate gene (Tables 1, 2 and 3). One hundred and nineteen PPROM cases and 199 term controls were genotyped in the present study for this nonsense variant, and a statistically significant association of the minor allele with PPROM was found (P < 0.015 by Fisher’s Exact test, 1-tailed) (Table 4).
We then applied our WES screening approach to look for other PPROM candidate genes, including genes where the nonsense mutation was of relatively high allele frequency in PPROM cases. We detected 7 heterozygous nonsense variants in the Methyltransferase Like 7B (METTL7B) gene in the WES discovery panel in PPROM cases, and none in term controls. This was the largest number of unique “PPROM mutation alleles”. METTL7B transcripts were detected in human placenta and amnion by PCR with sequence verification of the amplicon (Additional file 2: Figure S1).
A METTL7B SNP (rs146636131) adjacent to rs115687886 that is in phase modifies the codon to create a benign missense variant (p.Arg224Leu). Subjects with both rs115687886 and rs146636131 minor alleles were considered to have the missense variant rather than the nonsense mutation (Tables 1, 2, 3 and 4). Another rarer nonsense variant (rs138407179) was also detected. Both METTL7B nonsense variants are identified as causing loss of function with “high confidence” in the gnomAD database. rs138407179 has two alternate minor alleles, one encoding the stop codon of African ancestry (G/T) and another (G/A), which encodes a predicted damaging variant of South Asian ancestry.
Follow-up targeted genotyping of the METTL7B SNPs of interest on 94 PPROM cases and 94 term controls detected the nonsense variant in term controls, including a homozygote mutant. Statistical analysis of the combined analysis WES data and follow-up genotyping revealed no statistically significant association of the METTL7B rs115687886 nonsense mutation with PPROM (Tables 3 and 4), a finding that was not unexpected based on the fact that the minor allele of rs115687886 did not robustly meet all screening criteria as noted above.

Discussion

The simple screening approach outlined above may be useful to others seeking rare variants with moderate to high effect size associated with preterm birth in specific populations. The approach can also be used to identify rare mutations that are protective for PPROM by starting the screening with selection of variants found only in term controls, not in PPROM, and applying the subsequent filters. The fact that the majority of WES nonsense variants were detected in a single PPROM case, but each individual case harbored multiple nonsense variants allows for a test of genetic burden to be conducted as we have done in our previous studies [8, 9] in addition to the more focused examination of the contributions of individual variants. Importantly, the patterns of nonsense mutations among PPROM cases and term controls could also point to pathways and gene networks that when disrupted promote PPROM or protect against it.
Our findings suggest that a rare damaging DEFB1 variant of African ancestry may have a role in the pathophysiology of PPROM, presumably because it facilitates a dysbiotic reproductive tract flora that invades and or inflames the fetal membranes leading to premature rupture. The DEFB1 gene has been under selective pressure [11, 12], and has rare loss of function variants with four different ancestries (African, Latino, East Asian, European) reported in the genomAD database. It will be of interest to determine in the future if the other DEFB1 loss of function variants play a role in preterm birth after PPROM in the respective populations.
The discovery that the DEFB1 nonsense variant is associated PPROM prompted us to examine damaging variants in other beta defensin genes in our WES study. A stop-loss variant of African ancestry was identified in DEFB119 (rs12329612) in 19 PPROM cases, including 1 homozygote (20 alleles/152 total alleles), and 5 term controls, including 1 homozygote. A start-loss variant detected in DEFB128 (rs145944118) was found in one PPROM case, and another start-loss variant (rs18818350) was detected in DEFB132 in one term control. The functional significance of these variants and their relationship to preterm birth are currently unknown.
We discovered a significant association between a nonsense variant in an anti-microbial gene, MBL2, and PPROM. This association is consistent with the work of others who examined common MBL2 polymorphisms in fetal DNA from European populations and found increased risk of preterm birth [13, 14]. MBL-2 presumably functions as part of the host defense system, including DEFB1, which prevents or limits infections that cause chorioamnionitis and PPROM.
In contrast to our findings with the DEFB1 and MBL2 nonsense variants, the nonsense variant (rs115687886) in the METTL7B gene did not stand up to further scrutiny as a PPROM candidate. METTL7B encodes a putative methyltransferase whose transcript is elevated in blood leukocytes in the context of infection in pregnancy, providing a potential link to PPROM mechanisms [15]. However, the METTL7B was initially reported to be a lipid droplet-associated protein whose function with respect to lipid metabolism remains obscure [16].
The METTL7B rs115687886 minor allele (in the absence of the adjacent in phase SNP) truncates the protein at amino acid position 224 of the 244-amino acid protein. This truncation is outside of the methyltransferase domain (amino acids 75–172). The functional significance of this protein truncation has not been established to the best of our knowledge, which could make the mutation “ineligible” in our screening criteria. Moreover, the rs115687886 minor allele frequencies in our African-American term controls and PPROM cases are relatively high (Table 4) and outside of our definition of “rare” (Allele frequency < 0.01). No splicing or frameshift variants predicted to disrupt the protein coding sequence were detected in METTL7B the WES sample.
The other nonsense minor allele we examined (rs138407179), found in both a PPROM case and a term control, truncates the protein at amino acid residue 80, which likely damages the protein. Genotyping of additional PPROM cases and controls is required to determine if this nonsense variant is associated with PPROM. We could find no information in the literature regarding selective pressures impinging on the METTL7B gene.
Although our proposed strategy is consistent with guidelines for investigating causality of sequence variants in human disease, our approach has limitations including the current cost of WES and the use of modest sample sizes which may not have the power to detect pathophysiologic important rare variants/mutations [17]. The focus on nonsense variants found only in cases might exclude important PPROM-associated mutations from consideration if there was by chance a nonsense variant in the control group but not the cases. Importantly, the analysis strategy used in this report did not encompass other potentially damaging variants including frameshift, splicing and damaging missense variants, including variants that cause gain of function. These variants/mutations could, of course, be incorporated into the screening algorithm. In addition, WES would not identify intragenic regulatory elements that have an impact on gene expression levels. Another limitation of our study is the absence of direct evidence for disrupted function of the DEFB1 and MBL-2 proteins derived from the respective mutant transcripts. That said, the DEFB1 nonsense mutation would not lead to production of a mature peptide, so it is most certainly damaging. However, its potential to be a dominant negative inhibiting processing of full length DEFB1 pro-peptide from the major allele in heterozygous mutants remains to be explored. Likewise, the impact of the MBL2 nonsense mutation on protein function is only predicted, and studies need to be conducted with recombinant proteins to prove loss of function.
Our findings on the DEFB1 and MBL2 nonsense mutations are consistent with the notion that rare fetal mutations contribute to the disparities in preterm birth among African-Americans, and support the mining of rare mutations identified in WES as a portal to discovery of genes playing a role in preterm birth. A similar approach could be applied to other populations focusing on ancestry-enriched damaging variants. For example, there are rare damaging Latino (rs759177517; p. Tyr5Ter) and East Asian (rs140403947, p. Tyr60Ter) nonsense variants in the DEFB1 gene that could be evaluated for association with PPROM in the respective populations.

Conclusions

Our findings based on a simple and cost-effective data analysis strategy support the notion that multiple rare population-specific variants in the fetal genome contribute to preterm birth associated with PPROM.

Acknowledgements

The authors wish to thank Sonya Washington for her support in subject recruitment.

Funding

This research was funded by National Institutes of Health Grants R01 HD073555 and P60 MD002256. This research was also supported, in part, by the Perinatology Research Branch, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services (NICHD/ NIH); and, in part, with Federal funds from NICHD, NIH under Contract No. HSN275201300006C. Funding from the Burroughs Wellcome Fund Preterm Birth Initiative (Grant No. 1015040) to Timothy York supported this research in part.

Availability of data and materials

The entire WES data set represents protected health information which cannot be shared publicly. The authors will gladly provide information on selected genes or genetic variants.
Subjects were self-reported African-American women and their neonates receiving obstetrical care at MCV Hospitals, Richmond, VA (all samples in the WES) and Hutzel Hospital in Detroit, MI. The study was approved by the Institutional Review Boards of MCV Hospitals, Richmond, VA (IRB Number: HM15009); Wayne State University (IRB Numbers: 103897MP2F (5R), 082403MP2F (5R), 110605MP4F, 103108MP2F, 052308MP2F) as well as NICHD (National Institute of Child Health and Human Development) (IRB Numbers: 0H97-CH-N065, OH98-CH-N001, OH97-CH-N067, OH99-CH-N056, OH09-CH-N014). Subjects from Hutzel Hospital, Detroit, MI were enrolled under both Wayne State University as well as NICHD protocols and thus respective IRB numbers for both institutes are provided. Written informed consent was obtained from mothers before sample collection.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Metadaten
Titel
Discovery of rare ancestry-specific variants in the fetal genome that confer risk of preterm premature rupture of membranes (PPROM) and preterm birth
verfasst von
Bhavi P. Modi
Hardik I. Parikh
Maria E. Teves
Rewa Kulkarni
Jiang Liyu
Roberto Romero
Timothy P. York
Jerome F. Strauss III
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Medical Genetics / Ausgabe 1/2018
Elektronische ISSN: 1471-2350
DOI
https://doi.org/10.1186/s12881-018-0696-4

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