Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants.
The majority of genetic variants detected in genome wide association studies (GWAS) exert their effects on phenotypes through gene regulation. Motivated by this observation, we propose a multi-omic integration method that models the cascading effects of genetic variants from epigenome to transcripto...
Main Authors: | Bernard Ng, William Casazza, Nam Hee Kim, Chendi Wang, Farnush Farhadi, Shinya Tasaki, David A Bennett, Philip L De Jager, Christopher Gaiteri, Sara Mostafavi |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-11-01
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Series: | PLoS Genetics |
Online Access: | https://doi.org/10.1371/journal.pgen.1009918 |
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