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Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits

Citation

Baldassari, Antoine R.; Sitlani, Colleen M.; Highland, Heather M.; Arking, Dan E.; Buyske, Steven G.; Darbar, Dawood; Gondalia, Rahul; Graff, Mariaelisa; Guo, Xiuqing; & Heckbert, Susan R., et al. (2020). Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits. Circulation: Genomic & Precision Medicine, 13(4), e002680. PMCID: PMC7520945

Abstract

Background: We examined how expanding electrocardiographic (ECG) trait genome-wide association studies (GWAS) to include ancestrally diverse populations, prioritize more precise phenotypic measures, and evaluate evidence for shared genetic effects enabled the detection and characterization of loci.

URL

http://dx.doi.org/10.1161/circgen.119.002680

Reference Type

Journal Article

Journal Title

Circulation: Genomic & Precision Medicine

Author(s)

Baldassari, Antoine R.
Sitlani, Colleen M.
Highland, Heather M.
Arking, Dan E.
Buyske, Steven G.
Darbar, Dawood
Gondalia, Rahul
Graff, Mariaelisa
Guo, Xiuqing
Heckbert, Susan R.
Hindorff, Lucia A.
Hodonsky, Chani J.
Chen, Yii-Der Ida
Kaplan, Robert C.
Peters, Ulrike
Post, Wendy
Reiner, Alex P.
Rotter, Jerome I.
Shohet, Ralph V.
Seyerle, Amanda
Sotoodehnia, Nona
Tao, Ran
Taylor, Kent D.
Wojcik, Genevieve L.
Yao, Jie
Kenny, Eimear E.
Lin, Henry J.
Soliman, Elsayed Z.
Whitsel, Eric A.
North, Kari E.
Kooperberg, Charles L.
Avery, Christy L.

Year Published

2020

Volume Number

13

Issue Number

4

Pages

e002680

PMCID

PMC7520945

NIHMSID

NIHMS1612182

Reference ID

12779