Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations

Methods Mol Biol. 2021;2254:73-91. doi: 10.1007/978-1-0716-1158-6_6.


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.

Keywords: Bioinformatics; Computational biology; Enhancers; Genomics; INFERNO; Noncoding genetics; Regulatory variation; eQTL; lncRNA.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Genetic Predisposition to Disease*
  • Genome-Wide Association Study / methods*
  • Humans
  • Molecular Sequence Annotation
  • RNA, Long Noncoding / genetics*
  • Software*


  • RNA, Long Noncoding