Evidence map›Paper›PMID 38302665›Full record

ArticleHuman genetics2024

Miscarriage risk assessment: a bioinformatic approach to identifying candidate lethal genes and variants.

Mona Aminbeidokhti, Jia-Hua Qu, Shweta Belur, Hakan Cakmak, Eleni Jaswa, Ruth B Lathi, Marina Sirota, Michael P Snyder, Svetlana A Yatsenko, Aleksandar Rajkovic

Open access · hybridAbstract read
In one paragraph

Article in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
13.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Genomics of pregnancy loss.Journal of assisted reproduction and genetics · 2026
    Review
  4. Article
  5. Genetic Variants in Recurrent Euploid Pregnancy Loss.medRxiv : the preprint server for health sciences · 2025
    Article
  6. Article
  7. Lethal phenotypes in Mendelian disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  8. Lethal phenotypes in Mendelian disorders.medRxiv : the preprint server for health sciences · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Mona AminbeidokhtiDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Jia-Hua QuDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Shweta BelurDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.
Hakan CakmakDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA, 94143, USA.
Eleni JaswaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, 94143, USA.
Ruth B LathiDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, 94305, USA.
Marina SirotaDepartment of Pediatrics, University of California, San Francisco, San Francisco, CA, 94143, USA.
Michael P SnyderDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
Svetlana A YatsenkoDepartment of Pathology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Aleksandar RajkovicDepartment of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA. Aleks.Rajkovic@ucsf.edu.ORCID http://orcid.org/0000-0002-1710-4389
University of California, San Francisco · USStanford University · USUniversity of Pittsburgh · US

Funding

Trio Analysis of Recurrent Pregnancy Loss Integrated Bioinformatics Genomics Study (TRIOS)R01HD105256 · NICHD · STANFORD UNIVERSITY · PI LATHI, RUTH B, RAJKOVIC, ALEKSANDAR · 2021 to 2025
$7.0M
NICHD NIH HHS R01 HD105256
6 · The paper itself

Abstract

purposeMiscarriage, 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.

methodsWe 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.

resultsThis 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.

conclusionThis 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.

Indexed as

Abortion, SpontaneousAnimalsComputational BiologyEthnicityFemaleGenes, LethalGenetic Carrier ScreeningHumansInfant, NewbornMicePregnancy

Identifiers

PMID38302665
PMCPMC10881709
OpenAlexW4391428526

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.