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Article

Identifying enhancer properties associated with genetic risk for complex traits using regulome-wide association studies.

PLoS computational biology - 1 Sept 2022

Casella Alex M, Colantuoni Carlo, Ament Seth A

Abstract excerpt

Genetic risk for complex traits is strongly enriched in non-coding genomic regions involved in gene regulation, especially enhancers. However, we lack adequate tools to connect the characteristics of these disruptions to genetic risk. Here, we propose RWAS (Regulome Wide Association Study), a new application of the MAGMA software package to identify the characteristics of enhancers that contribute to genetic risk...

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Share to Enhancer Elements, Genetic
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Multifactorial Inheritance

Share to Polymorphism, Single Nucleotide

Share to Regulatory Sequences, Nucleic Acid

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Source

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Identifiers

PMID: 36070311
DOI: 10.1371/journal.pcbi.1010430
PMCID: PMC9484640

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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