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Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations

Authors :
Alexandre, Amlie-Wolf
Pavel P, Kuksa
Chien-Yueh, Lee
Elisabeth, Mlynarski
Yuk Yee, Leung
Li-San, Wang
Source :
Methods in molecular biology (Clifton, N.J.). 2254
Publication Year :
2020

Abstract

The INFERNO method provides an integrative computational framework for characterizing the causal variants, tissue contexts, affected regulatory mechanisms, and target genes underlying noncoding genetic variants associated with any phenotype or disease of interest. Here we describe the computational steps required to run the full INFERNO pipeline on any dataset of interest.

Details

ISSN :
19406029
Volume :
2254
Database :
OpenAIRE
Journal :
Methods in molecular biology (Clifton, N.J.)
Accession number :
edsair.pmid..........96a58ccbc3a98eca8599fbe5ad029bfe