Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Background Stillbirth is a devastating adverse pregnancy outcome affecting 2 million pregnancies worldwide every year. Though an etiology may be found in some, one-third of stillbirth cases remain unexplained. Stillbirth clusters in families and, apart from infrequent aneuploidies and balanced translocations, few underlying inherited genes associated with stillbirth are known. Well-characterized family-based studies may aid in identifying genetic contributors to unexplained stillbirth. Methods Using the Utah Population Database, we defined pedigrees with high familial risk of stillbirth. Comprehensive phenotyping with review of primary medical records was conducted to identify stillbirth cases without identifiable causes. We generated whole-genome sequencing in seven stillborn placentas from three pedigrees, referred to hereafter as Pedigree A, Pedigree B, and Pedigree C. We performed shared genomic segments analysis to identify evidence for segregating haplotypes shared by the stillbirths to provide evidence for inherited risk. Results A region at 15q26.3 was identified in two independent pedigrees with genome-wide significance in both (a 1.2 Mb segment shared by two stillbirths in Pedigree A, and a 1.8 Mb segment shared by two stillbirths in pedigree B). Four other regions reached genome-wide significance in single pedigrees at 16p13.13-p13.12, 9p13.3-p13.1, and 6p22.2-p22.1 (shared by the same two stillbirths in Pedigree B), and 0.8 Mb segment at 14q.32.2 shared by three stillbirths in Pedigree C. The identified regions are implicated in in utero and postnatal development, pregnancy loss, and infertility. Conclusions We identified evidence for inherited risk loci in stillbirth placental genes are implicated in in utero and postnatal development, pregnancy loss, and infertility. Identification of inherited genes in stillbirth risk may provide novel therapeutic targets for prevention and treatment to improve pregnancy outcomes.
Background Stillbirth is a devastating adverse pregnancy outcome affecting 2 million pregnancies worldwide every year. Though an etiology may be found in some, one-third of stillbirth cases remain unexplained. Stillbirth clusters in families and, apart from infrequent aneuploidies and balanced translocations, few underlying inherited genes associated with stillbirth are known. Well-characterized family-based studies may aid in identifying genetic contributors to unexplained stillbirth. Methods Using the Utah Population Database, we defined pedigrees with high familial risk of stillbirth. Comprehensive phenotyping with review of primary medical records was conducted to identify stillbirth cases without identifiable causes. We generated whole-genome sequencing in seven stillborn placentas from three pedigrees, referred to hereafter as Pedigree A, Pedigree B, and Pedigree C. We performed shared genomic segments analysis to identify evidence for segregating haplotypes shared by the stillbirths to provide evidence for inherited risk. Results A region at 15q26.3 was identified in two independent pedigrees with genome-wide significance in both (a 1.2 Mb segment shared by two stillbirths in Pedigree A, and a 1.8 Mb segment shared by two stillbirths in pedigree B). Four other regions reached genome-wide significance in single pedigrees at 16p13.13-p13.12, 9p13.3-p13.1, and 6p22.2-p22.1 (shared by the same two stillbirths in Pedigree B), and 0.8 Mb segment at 14q.32.2 shared by three stillbirths in Pedigree C. The identified regions are implicated in in utero and postnatal development, pregnancy loss, and infertility. Conclusions We identified evidence for inherited risk loci in stillbirth placental genes are implicated in in utero and postnatal development, pregnancy loss, and infertility. Identification of inherited genes in stillbirth risk may provide novel therapeutic targets for prevention and treatment to improve pregnancy outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.