Evidence map›Paper›PMID 38464909›Full record

ArticleJACC. Advances2024

Underrepresentation of Diverse Ancestries Drives Uncertainty in Genetic Variants Found in Cardiomyopathy-Associated Genes.

Michael B Rosamilia, Alexandra M Markunas, Priya S Kishnani, Andrew P Landstrom

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Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Michael B RosamiliaDivision of Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Alexandra M MarkunasDivision of Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Priya S KishnaniDivision of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA.
Andrew P LandstromDivision of Cardiology, Department of Pediatrics and Department of Cell Biology, Duke University School of Medicine, Durham, North Carolina, USA.

Funding

NRSA Training CoreTL1TR002555 · NCATS · DUKE UNIVERSITY · PI EDELMAN, DAVID · 2018 to 2022
$3.7M
Exploring the role of ATP1A3 mutations in sudden unexplained death in epilepsyR01HL160654 · NHLBI · DUKE UNIVERSITY · PI Andrew P. Landstrom · 2022 to 2026
$3.4M
Determining the genetic and social determinants of heart failure and mortality in patients with congenital heart disease (DEFINE)R01HL166217 · NHLBI · DUKE UNIVERSITY · PI Andrew P. Landstrom · 2023 to 2026
$2.8M
The Role of Junctophilin Type 2 in Cardiac Node AutomaticityK08HL136839 · NHLBI · DUKE UNIVERSITY · PI LANDSTROM, ANDREW P. · 2017 to 2021
$769k
Doris Duke Charitable Foundation 2020098NCATS NIH HHS TL1 TR002555NHLBI NIH HHS K08 HL136839NHLBI NIH HHS R01 HL160654NHLBI NIH HHS R01 HL166217
6 · The paper itself

Abstract

backgroundThousands of genetic variants have been identified in cardiomyopathy-associated genes. Diagnostic genetic testing is key for evaluation of individuals with suspected cardiomyopathy. While accurate variant pathogenicity assignment is important for diagnosis, the frequency of and factors associated with clinically relevant assessment changes are unclear.

objectivesThe authors aimed to characterize pathogenicity assignment change in cardiomyopathy-associated genes and to identify factors associated with this change.

methodsWe identified 10 sarcomeric and 6 desmosomal genetic cardiomyopathy-associated genes along with comparison gene sets. We analyzed clinically meaningful changes in pathogenicity assignment between any of the following: pathogenic/likely pathogenic (P/LP), conflicting interpretations of pathogenicity or variant of unknown significance (C/VUS), and benign/likely benign. We explored association of minor allele frequency (MAF) differences between well, and traditionally poorly, represented ancestries in genetic studies with assessment stability. Analyses were performed using ClinVar and GnomAD data.

resultsOf the 30,975 cardiomyopathy-associated gene variants in ClinVar, 2,276 of them (7.3%) had a clinically meaningful change in pathogenicity assignment over the study period, 2011 to 2021. Sixty-seven percent of variants that underwent a clinically significant change moved from P/LP or benign/likely benign to C/VUS. Among cardiomyopathy variants downgraded from P/LP, 35% had a MAF above 1 × 10

conclusionsOver the past 10 years, 7.3% of cardiomyopathy gene variants underwent a clinically meaningful change in pathogenicity assignment. Over 30% of downgrades from P/LP may be attributable to higher MAF in Non-Europeans than Europeans. This finding suggests that low ancestral diversity in genetic studies has increased diagnostic uncertainty in cardiomyopathy gene variants.

Indexed as

ancestrycardiomyopathydiversitygenetic testingvariant

Identifiers

PMID38464909
PMCPMC10922016

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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.