Cargando…

Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry

SNPs associated with disease susceptibility often reside in clusters of gene enhancers, or super enhancers. Constituents of these enhancer clusters cooperate to regulate target genes, and often extend beyond the linkage disequilibrium blocks containing GWAS risk SNPs. We identified “outside variants...

Descripción completa

Detalles Bibliográficos
Autores principales: Corradin, Olivia, Cohen, Andrea J., Luppino, Jennifer M., Bayles, Ian M., Schumacher, Fredrick R., Scacheri, Peter C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083135/
https://www.ncbi.nlm.nih.gov/pubmed/27643537
http://dx.doi.org/10.1038/ng.3674
_version_ 1782463174158581760
author Corradin, Olivia
Cohen, Andrea J.
Luppino, Jennifer M.
Bayles, Ian M.
Schumacher, Fredrick R.
Scacheri, Peter C.
author_facet Corradin, Olivia
Cohen, Andrea J.
Luppino, Jennifer M.
Bayles, Ian M.
Schumacher, Fredrick R.
Scacheri, Peter C.
author_sort Corradin, Olivia
collection PubMed
description SNPs associated with disease susceptibility often reside in clusters of gene enhancers, or super enhancers. Constituents of these enhancer clusters cooperate to regulate target genes, and often extend beyond the linkage disequilibrium blocks containing GWAS risk SNPs. We identified “outside variants”, defined as SNPs in weak LD with GWAS risk SNPs that physically interact with risk SNPs as part of the target gene’s regulatory circuitry. These outside variants explain additional target gene expression variation beyond that of GWAS associated SNPs. Additionally, the clinical risk associated with the GWAS SNPs is considerably modified by the genotype of the outside variant. Collectively, these findings suggest a potential model whereby outside variants and GWAS SNPs that physically interact in 3D chromatin collude to influence target transcript levels as well as clinical risk. This model offers an additional hypothesis for the source of missing heritability of complex traits.
format Online
Article
Text
id pubmed-5083135
institution National Center for Biotechnology Information
language English
publishDate 2016
record_format MEDLINE/PubMed
spelling pubmed-50831352017-03-19 Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry Corradin, Olivia Cohen, Andrea J. Luppino, Jennifer M. Bayles, Ian M. Schumacher, Fredrick R. Scacheri, Peter C. Nat Genet Article SNPs associated with disease susceptibility often reside in clusters of gene enhancers, or super enhancers. Constituents of these enhancer clusters cooperate to regulate target genes, and often extend beyond the linkage disequilibrium blocks containing GWAS risk SNPs. We identified “outside variants”, defined as SNPs in weak LD with GWAS risk SNPs that physically interact with risk SNPs as part of the target gene’s regulatory circuitry. These outside variants explain additional target gene expression variation beyond that of GWAS associated SNPs. Additionally, the clinical risk associated with the GWAS SNPs is considerably modified by the genotype of the outside variant. Collectively, these findings suggest a potential model whereby outside variants and GWAS SNPs that physically interact in 3D chromatin collude to influence target transcript levels as well as clinical risk. This model offers an additional hypothesis for the source of missing heritability of complex traits. 2016-09-19 2016-11 /pmc/articles/PMC5083135/ /pubmed/27643537 http://dx.doi.org/10.1038/ng.3674 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Corradin, Olivia
Cohen, Andrea J.
Luppino, Jennifer M.
Bayles, Ian M.
Schumacher, Fredrick R.
Scacheri, Peter C.
Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
title Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
title_full Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
title_fullStr Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
title_full_unstemmed Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
title_short Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
title_sort modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5083135/
https://www.ncbi.nlm.nih.gov/pubmed/27643537
http://dx.doi.org/10.1038/ng.3674
work_keys_str_mv AT corradinolivia modelingdiseaseriskthroughanalysisofphysicalinteractionsbetweengeneticvariantswithinchromatinregulatorycircuitry
AT cohenandreaj modelingdiseaseriskthroughanalysisofphysicalinteractionsbetweengeneticvariantswithinchromatinregulatorycircuitry
AT luppinojenniferm modelingdiseaseriskthroughanalysisofphysicalinteractionsbetweengeneticvariantswithinchromatinregulatorycircuitry
AT baylesianm modelingdiseaseriskthroughanalysisofphysicalinteractionsbetweengeneticvariantswithinchromatinregulatorycircuitry
AT schumacherfredrickr modelingdiseaseriskthroughanalysisofphysicalinteractionsbetweengeneticvariantswithinchromatinregulatorycircuitry
AT scacheripeterc modelingdiseaseriskthroughanalysisofphysicalinteractionsbetweengeneticvariantswithinchromatinregulatorycircuitry