Objective To conduct a feasibility whole-genome sequencing (WGS) study in families to identify genetic variants relevant to unexplained pregnancy loss. Methods We conducted a pilot WGS study of four families with recurrent pregnancy loss, including parents, healthy live births, and losses, which included an embryonic loss (<10 weeks’ gestation), fetal deaths (10-20 weeks’ gestation) and stillbirths (≥ 20 weeks’ gestation). We used the Illumina platform for WGS and state-of-the-art protocols to identify single nucleotide variants (SNVs) following various modes of inheritance. Results We identified 87 SNVs involving 75 genes in embryonic loss (n=1), 370 SNVs involving 228 genes in fetal death (n=3), and 122 SNVs involving 122 genes in stillbirth (n=2). Of these, 22 de novo, 6 autosomal dominant and an X-linked recessive SNVs were pathogenic (probability of being loss-of-function intolerant >0.9), impacting known genes (e.g., DICER1, FBN2, FLT4, HERC1, and TAOK1) involved in embryonic/fetal development and congenital abnormalities. Further, we identified missense compound heterozygous SNVs impacting genes (e.g., VWA5B2) in two fetal death samples that were absent from live births and population controls, providing evidence for haplosufficient genes relevant to pregnancy loss. Conclusions In this pilot study, we provide evidence for de novo and inherited SNVs relevant to pregnancy loss. Our findings provide justification for conducting WGS using larger numbers of families and warrant validation by targeted sequencing to ascertain causal variants. Elucidating genes causing pregnancy loss may facilitate the development of risk stratification strategies and novel therapeutics.
Objective To determine if stillbirth aggregates in families and quantify its familial risk using extended pedigrees. Design State-wide matched case-control study. Setting Utah, United States. Population Stillbirth cases (n=9 404) and live-birth controls (18 808) between 1978 and 2019. Methods Using the Utah Population Database, a population‐based genealogical resource linked with state fetal death and birth records, we identified high-risk pedigrees with excess familial aggregation of stillbirth using the Familial Standardized Incidence Ratio (FSIR). Stillbirth odds ratio (OR) for first-degree relatives (FDR), second-degree relatives (SDR), and third-degree relatives (TDR) of parents with a stillbirth and live-birth were estimated using logistic regression models. Results We identified 390 high-risk pedigrees with evidence for excess familial aggregation (FSIR≥2.00 and P-value<0.05). FDRs, SDRs and TDRs of affected parents had 1.14-fold (95% confidence interval [CI]: 1.04-1.26), 1.22-fold (95% CI: 1.11-1.33), and 1.15-fold (95% CI: 1.08-1.21) higher stillbirth odds compared to FDRs, SDRs and TDRs of unaffected parents, respectively. Parental sex-specific analyses showed male FDRs, SDRs and TDRs of affected fathers had 1.22-fold (95% CI: 1.02-1.47), 1.38-fold (95% CI: 1.17-1.62), 1.17-fold (95% CI: 1.05-1.30) higher stillbirth odds compared to those of unaffected fathers, respectively. FDRs, SDRs and TDRs of affected mothers had 1.12-fold (95% CI: 0.98-1.28), 1.09-fold (95% CI: 0.96-1.24), and 1.15-fold (95% CI: 1.06-1.24) higher stillbirth odds compared with those of unaffected mothers, respectively. Conclusions We provide evidence for familial aggregation of stillbirth. Our findings warrant investigation into genes associated with stillbirth and underscore the need to design large-scale studies to determine its genetic architecture.