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Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations.

TitleUsing INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations.
Publication TypeJournal Article
Year of Publication2021
AuthorsAmlie-Wolf A, Kuksa PP, Lee C-Y, Mlynarski E, Leung YYee, San Wang L-
JournalMethods Mol Biol
Volume2254
Pagination73-91
Date Published2021
ISSN1940-6029
KeywordsGenetic Predisposition to Disease, Genome-Wide Association Study, Humans, Molecular Sequence Annotation, RNA, Long Noncoding, Software
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.
DOI10.1007/978-1-0716-1158-6_6
Pubmed Linkhttps://www.ncbi.nlm.nih.gov/pubmed/33326071?dopt=Abstract
page_expoInternal
Alternate JournalMethods Mol Biol
PubMed ID33326071
Grant ListU24 AG041689 / AG / NIA NIH HHS / United States
U54 AG052427 / AG / NIA NIH HHS / United States
U01 AG032984 / AG / NIA NIH HHS / United States
U01 AG058654 / AG / NIA NIH HHS / United States

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