Your browser doesn't support javascript.
loading
Miscarriage risk assessment: a bioinformatic approach to identifying candidate lethal genes and variants.
Aminbeidokhti, Mona; Qu, Jia-Hua; Belur, Shweta; Cakmak, Hakan; Jaswa, Eleni; Lathi, Ruth B; Sirota, Marina; Snyder, Michael P; Yatsenko, Svetlana A; Rajkovic, Aleksandar.
Afiliação
  • Aminbeidokhti M; Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
  • Qu JH; Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
  • Belur S; Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
  • Cakmak H; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, 94143, USA.
  • Jaswa E; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, 94143, USA.
  • Lathi RB; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, 94305, USA.
  • Sirota M; Department of Pediatrics, University of California, San Francisco, San Francisco, CA, 94143, USA.
  • Snyder MP; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, 94143, USA.
  • Yatsenko SA; Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
  • Rajkovic A; Department of Pathology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Hum Genet ; 143(2): 185-195, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38302665
ABSTRACT

PURPOSE:

Miscarriage, often resulting from a variety of genetic factors, is a common pregnancy outcome. Preconception genetic carrier screening (PGCS) identifies at-risk partners for newborn genetic disorders; however, PGCS panels currently lack miscarriage-related genes. In this study, we evaluated the potential impact of both known and candidate genes on prenatal lethality and the effectiveness of PGCS in diverse populations.

METHODS:

We analyzed 125,748 human exome sequences and mouse and human gene function databases. Our goals were to identify genes crucial for human fetal survival (lethal genes), to find variants not present in a homozygous state in healthy humans, and to estimate carrier rates of known and candidate lethal genes in various populations and ethnic groups.

RESULTS:

This study identified 138 genes in which heterozygous lethal variants are present in the general population with a frequency of 0.5% or greater. Screening for these 138 genes could identify 4.6% (in the Finnish population) to 39.8% (in the East Asian population) of couples at risk of miscarriage. This explains the cause of pregnancy loss in approximately 1.1-10% of cases affected by biallelic lethal variants.

CONCLUSION:

This study has identified a set of genes and variants potentially associated with lethality across different ethnic backgrounds. The variation of these genes across ethnic groups underscores the need for a comprehensive, pan-ethnic PGCS panel that includes genes related to miscarriage.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aborto Espontâneo Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Female / Humans / Newborn / Pregnancy Idioma: En Revista: Hum Genet Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aborto Espontâneo Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Female / Humans / Newborn / Pregnancy Idioma: En Revista: Hum Genet Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
...