Current Techniques for Complex Phenotypes: GWAS of the Electrocardiogram
- PMID: 32980178
- DOI: 10.1016/j.tig.2020.09.009
Current Techniques for Complex Phenotypes: GWAS of the Electrocardiogram
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.
Copyright © 2020 Elsevier Ltd. All rights reserved.
Comment on
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The Genetic Makeup of the Electrocardiogram.Cell Syst. 2020 Sep 23;11(3):229-238.e5. doi: 10.1016/j.cels.2020.08.005. Epub 2020 Sep 10. Cell Syst. 2020. PMID: 32916098 Free PMC article.
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