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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, Steve; Darbar, Dawood; Gondalia, Rahul; Graff, Mariaelisa; Guo, Xiuqing; & Heckbert, Susan R., et al. (Online ahead of print). 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.

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, Steve
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

Online ahead of print

Reference ID

12779