Current Techniques for Complex Phenotypes: GWAS of the Electrocardiogram

Eric B Fauman

doi:10.1016/j.tig.2020.09.009

Current Techniques for Complex Phenotypes: GWAS of the Electrocardiogram

Trends Genet. 2020 Dec;36(12):897-899. doi: 10.1016/j.tig.2020.09.009. Epub 2020 Sep 23.

Author

Eric B Fauman¹

Affiliation

¹ Integrative Biology, Internal Medicine Research Unit, Pfizer Worldwide Research, Development and Medical, Cambridge, MA 02139, USA. Electronic address: Eric.fauman@pfizer.com.

PMID: 32980178
DOI: 10.1016/j.tig.2020.09.009

Abstract

By sampling 500 time points of an electrocardiogram (ECG) trace in a genome-wide association study (GWAS), Verweig et al. identified novel correlates for cardiac dysfunction. Clustering of SNPs based on their impact at all time points revealed natural sets of SNPs with similar effects and mechanisms. Similar approaches may be applicable to other quantitative, time-ordered traits.

Keywords: BAG3; ECG; GWAS; pleiotropy.

Publication types

Comment

MeSH terms

Electrocardiography
Genome-Wide Association Study*
Phenotype
Polymorphism, Single Nucleotide* / genetics