Cross-biobank comparison of ASCVD heritability and genetic correlation

Estimates of SNP-based heritability for atherosclerotic cardiovascular disease (ASCVD) vary widely across populations, complicating interpretation of genetic architecture. We compared SNP-based heritability and cross-cohort genetic correlation for ASCVD and its nested subphenotypes, coronary events (CE) and myocardial infarction (MI), across Geisinger's MyCode, the UK Biobank, and the NIH's All of Us using GWAS summary statistics and LD score regression. Heritability estimates differed significantly across cohorts, with consistently higher values in the UK Biobank and higher heritability for more narrowly defined phenotypes (MI) relative to broader ASCVD definitions. In contrast, genetic correlations between cohorts were uniformly high for all phenotypes, with confidence intervals spanning 1.0. These results suggest substantial sharing of common variant genetic effects across biobanks and indicate that cross-cohort differences in SNP-based heritability may primarily reflect differences in ASCVD ascertainment and phenotype capture rather than underlying genetic architecture.

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Publication Details

Journal
Journal of Human Genetics
Published
2026-08-28
DOI
https://doi.org/10.1038/s10038-026-01508-4
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Cross-biobank comparison of ASCVD heritability and genetic correlation

Matthew T. Oetjens, Alexander S. F. Berry, Samuel S. Gidding, Hari B. Acharya
Journal of Human Genetics
Genetic Associations and Epidemiology
article

Cross-biobank comparison of ASCVD heritability and genetic correlation

Matthew T. Oetjens, Alexander S. F. Berry, Samuel S. Gidding, Hari B. Acharya
article en

Abstract

Estimates of SNP-based heritability for atherosclerotic cardiovascular disease (ASCVD) vary widely across populations, complicating interpretation of genetic architecture. We compared SNP-based heritability and cross-cohort genetic correlation for ASCVD and its nested subphenotypes, coronary events (CE) and myocardial infarction (MI), across Geisinger's MyCode, the UK Biobank, and the NIH's All of Us using GWAS summary statistics and LD score regression. Heritability estimates differed significantly across cohorts, with consistently higher values in the UK Biobank and higher heritability for more narrowly defined phenotypes (MI) relative to broader ASCVD definitions. In contrast, genetic correlations between cohorts were uniformly high for all phenotypes, with confidence intervals spanning 1.0. These results suggest substantial sharing of common variant genetic effects across biobanks and indicate that cross-cohort differences in SNP-based heritability may primarily reflect differences in ASCVD ascertainment and phenotype capture rather than underlying genetic architecture.

Journal of Human Genetics
Autism & Developmental Medicine Institute (US), Geisinger Neuroscience Institute (US), Genomic Health (United States) (US), Geisinger Health System (US)
National Institutes of Health, National Heart, Lung, and Blood Institute
Openalex Percentile: Top 11%
Genetic Associations and Epidemiology
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