Literature DB >> 32318853

Genetic innovations and our understanding of stillbirth.

Louise Wilkins-Haug1.   

Abstract

Stillbirth after 20 weeks gestation happens in 1 in 200 pregnancies and occurs more commonly than neonatal loss and sudden infant death syndrome (SIDs) combined. The stillbirth rate is several times greater in low as opposed to high-resource countries. However, among high-resource countries, although a lower overall stillbirth rate exists, there has been little change for several decades. Molecular genetic technologies are emerging as important contributors to our understanding of stillbirth. Initially, genetic etiologies included alterations in chromosome number or structure such as aneuploidy and microduplications and deletions. More recently, next-generation sequencing analysis in two genetic conditions, Smith Lemli Optiz Syndrome (SLOs) and the channelopathy disorders (such as long QT syndrome (LQTS)) provide examples into the association of pathogenic gene variants with stillbirth. Although these specific conditions individually account for only a small number of stillbirths, investigating these disorders provides a new and innovative approach for further understanding genetic contributors to adverse pregnancy outcomes. Our knowledge of the role of genetic disease as an etiology for stillbirth is elementary. Genomic interrogation of maternal-fetal genotypes, gene-gene, and genotype-environment interaction is lacking in stillbirth research. At the DNA sequence level, further investigation of variants of unknown significance is an opportunity for exploration of biologic pathways of importance to pregnancy loss. This review concentrates on SLO as an example of a single gene disorder with a high carrier but low affected liveborn proband rate. The channelopathy disorders are included as initial examples of genetic conditions with variable presentation including an association with sudden infant death syndrome. Highlighted are the challenges when numerous genes and variants are involved, and the task of assigning pathogenicity. The advantages and limitations of genetic evaluations are presented and avenues for further research considered.

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Year:  2020        PMID: 32318853     DOI: 10.1007/s00439-020-02146-2

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  7 in total

1.  A systematic review to guide future efforts in the determination of genetic causes of pregnancy loss.

Authors:  Andrew Z Carey; Nathan R Blue; Michael W Varner; Jessica M Page; Nathorn Chaiyakunapruk; Aaron R Quinlan; D Ware Branch; Robert M Silver; Tsegaselassie Workalemahu
Journal:  Front Reprod Health       Date:  2021-12-15

2.  Special issue on "Feto-Maternal Genomic Medicine": a decade of incredible advances.

Authors:  Kathryn J Gray; Louise Wilkins-Haug
Journal:  Hum Genet       Date:  2020-09       Impact factor: 4.132

3.  Knowledge and attitude of pregnant women in the Kingdom of Saudi Arabia toward Noninvasive prenatal testing: A single center study.

Authors:  Maaged A Akiel; Mohamud S Mohamud; Emad M Masuadi; Hassan S Alamri
Journal:  Mol Genet Genomic Med       Date:  2022-04-28       Impact factor: 2.473

4.  Carrier frequency and incidence estimation of Smith-Lemli-Opitz syndrome in East Asian populations by Genome Aggregation Database (gnomAD) based analysis.

Authors:  Jong Eun Park; Taeheon Lee; Kyeongsu Ha; Chang-Seok Ki
Journal:  Orphanet J Rare Dis       Date:  2021-04-09       Impact factor: 4.123

5.  Recurrent Pregnancy Loss and Concealed Long-QT Syndrome.

Authors:  Laura Kasak; Kristiina Rull; Tao Yang; Dan M Roden; Maris Laan
Journal:  J Am Heart Assoc       Date:  2021-08-16       Impact factor: 5.501

Review 6.  Extreme Heat and Pregnancy Outcomes: A Scoping Review of the Epidemiological Evidence.

Authors:  Sarah Syed; Tracey L O'Sullivan; Karen P Phillips
Journal:  Int J Environ Res Public Health       Date:  2022-02-19       Impact factor: 3.390

7.  Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next-generation sequencing analysis.

Authors:  Xia Zhang; Qingyan Huang; Zhikang Yu; Heming Wu
Journal:  J Gene Med       Date:  2021-08-20       Impact factor: 4.152

  7 in total

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