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Article

Cascading Epigenomic Analysis for Identifying Disease Genes from the Regulatory Landscape of GWAS Variants

2019-11-29

Abstract excerpt

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 transcriptome and eventually to the phenome in identifying target genes influenced by risk alleles. This cascading epigenomic an...

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Literature Corpus work
6a9bae60-154a-5afc-98d0-0e9165e978c3
DOI
10.1101/859512
Open publication

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Cascading Epigenomic Analysis for Identifying Disease Genes from the Regulatory Landscape of GWAS VariantsDOI 10.1101/859512
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