Evidence map›Paper›PMID 39615480›Full record

ArticleAmerican journal of human genetics2025

Leveraging diverse genomic data to guide equitable carrier screening: Insights from gnomAD v.4.1.0.

Matthew J Schmitz, Aryan Bashar, Vishal Soman, Esther A F Nkrumah, Hajer Al Mulla, Helia Darabi, John Wang, Paris Kiehl, Rahil Sethi, Jeffrey Dungan and 5 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. 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
–field-weighted citation impact
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.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Matthew J SchmitzTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Aryan BasharData Science Graduate Program, University of Colorado Boulder, Boulder, CO, USA.
Vishal SomanDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Esther A F NkrumahJoan H. Marks Graduate Program in Human Genetics, Sarah Lawrence College, New York, NY, USA.
Hajer Al MullaJoan H. Marks Graduate Program in Human Genetics, Sarah Lawrence College, New York, NY, USA.
Helia DarabiMedical Genetics and Genomics Laboratories, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
John WangDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Paris KiehlDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA.
Rahil SethiDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jeffrey DunganNatera, Inc., Austin, TX, USA.
Anthony R GreggDepartment of Obstetrics and Gynecology, Prisma Health, Columbia, SC, USA.
Aleksandar RajkovicDepartment of Pathology, University of California, San Francisco, San Francisco, CA, USA; Institute of Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
Svetlana A YatsenkoMedical Genetics and Genomics Laboratories, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA; Departments of Pathology, and Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Magee-Womens Research Institute, Pittsburgh, PA, USA.
Uma ChandranDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Mahmoud AarabiMedical Genetics and Genomics Laboratories, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA; Departments of Pathology, and Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: mahmoud.aarabi@pitt.edu.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Building Accessible and Inclusive Paths for Students in Biomedical Informatics and Data Science- Sup 3R25LM014208 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Gaurav Arora, Richard David Boyce · 2022 to 2026
$788k
NCATS NIH HHS UL1 TR001857NLM NIH HHS R25 LM014208
6 · The paper itself

Abstract

Analysis of exome data from the latest release of the Genome Aggregation Database (gnomAD v.4.1.0) revealed a significant carrier burden of pathogenic/likely pathogenic (P/LP) variants in genes associated with autosomal-recessive conditions across diverse ancestral populations. Carrier screening panels are routinely offered to reproductive partners to inform their risk of having an affected child. Current guidelines from the American College of Medical Genetics and Genomics (ACMG) recommend screening for genes with a carrier frequency of at least 1/200 and associated with moderate/severe conditions. Here, we systematically analyzed >700,000 gnomAD v.4.1.0 exomes spanning eight ancestries to estimate the carrier frequency of P/LP variants in 2,987 genes associated with autosomal-recessive conditions. After expert curation for clinical severity, we identified 286 genes meeting the criteria for carrier screening. The number of genes exceeding the 1/200 threshold varied across populations, with 40 in the South Asian ancestry and up to 119 in the Ashkenazi Jewish population. Simulations showed that pan-ethnic screening panels offer advantages for individuals of diverse or admixed ancestry, while ancestry-specific panels may be preferable for genetically homogeneous populations. This study leveraged the most comprehensive genomic dataset to date to provide an updated candidate gene list for equitable carrier screening across diverse populations. Our findings highlight the need for continued expansion of genomic resources to better understand rare disease risk and inform screening efforts in underrepresented groups.

Indexed as

Databases, GeneticGenetic Carrier ScreeningGenomicsExomeGenes, RecessiveGenetic TestingGenome, HumanHeterozygoteHumans

Identifiers

PMID39615480
PMCPMC11739870

What OpenQuestion holds

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Registered trials

None linked

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.