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Article

A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles.

Nature neuroscience - 1 Apr 2020

Sey Nancy Y A, Hu Benxia, Mah Won, Fauni Harper, McAfee Jessica Caitlin, Rajarajan Prashanth, Brennand Kristen J, Akbarian Schahram, Won Hyejung

Abstract excerpt

Most risk variants for brain disorders identified by genome-wide association studies reside in the noncoding genome, which makes deciphering biological mechanisms difficult. A commonly used tool, multimarker analysis of genomic annotation (MAGMA), addresses this issue by aggregating single nucleotide polymorphism associations to nearest genes. Here we developed a platform, Hi-C-coupled MAGMA (H-MAGMA), that...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32152537
DOI: 10.1038/s41593-020-0603-0
PMCID: PMC7131892

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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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