Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease
Abstract The causal variants and genes underlying thousands of cardiac GWAS signals have yet to be identified. Here, we leverage spatiotemporal information on 966 RNA-seq cardiac samples and perform an expression quantitative trait locus (eQTL) analysis detecting eQTLs considering both eGenes and eI...
Main Authors: | Matteo D’Antonio, Jennifer P. Nguyen, Timothy D. Arthur, iPSCORE Consortium, Hiroko Matsui, Agnieszka D’Antonio-Chronowska, Kelly A. Frazer |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-02-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-36638-2 |
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