ArticleCirculation. Genomic and precision medicine2020
Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits.
Article in Circulation. Genomic and precision medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
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- An African ancestry-specific nonsense variant in CD36 is associated with a higher risk of dilated cardiomyopathy.Nature genetics · 2025Article
- Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci.PLoS computational biology · 2025Article
- Proteogenomic analysis integrated with electronic health records data reveals disease-associated variants in Black Americans.The Journal of clinical investigation · 2024Article
- Advancing drug development for atrial fibrillation by prioritising findings from human genetic association studies.EBioMedicine · 2024Article
- Whole Genome Association Study of the Plasma Metabolome Identifies Metabolites Linked to Cardiometabolic Disease in Black Individuals.Nature communications · 2022Article
- Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies.Journal of human genetics · 2022Article
- Comparison of adaptive multiple phenotype association tests using summary statistics in genome-wide association studies.Human molecular genetics · 2021Article
- Cohort Profile: ZOE 2.0-A Community-Based Genetic Epidemiologic Study of Early Childhood Oral Health.International journal of environmental research and public health · 2020Article
- An adaptive test for meta-analysis of rare variant association studies.Genetic epidemiology · 2020Article
Corrections and comments
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Authors and funding
32 authors at 14 institutions in 2 countries.
Funding
Abstract
backgroundWe examined how expanding electrocardiographic trait genome-wide association studies to include ancestrally diverse populations, prioritize more precise phenotypic measures, and evaluate evidence for shared genetic effects enabled the detection and characterization of loci.
methodsWe decomposed 10 seconds, 12-lead electrocardiograms from 34 668 multi-ethnic participants (15% Black; 30% Hispanic/Latino) into 6 contiguous, physiologically distinct (P wave, PR segment, QRS interval, ST segment, T wave, and TP segment) and 2 composite, conventional (PR interval and QT interval) interval scale traits and conducted multivariable-adjusted, trait-specific univariate genome-wide association studies using 1000-G imputed single-nucleotide polymorphisms. Evidence of shared genetic effects was evaluated by aggregating meta-analyzed univariate results across the 6 continuous electrocardiographic traits using the combined phenotype adaptive sum of powered scores test.
resultsWe identified 6 novels (
conclusionsDespite including one-third as many participants as published electrocardiographic trait genome-wide association studies, our study identified 6 novel loci, emphasizing the importance of ancestral diversity and phenotype resolution in this era of ever-growing genome-wide association studies.
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