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Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease
The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease. We create a comprehensive map of regulatory variation in the MHC region using WGS from 419 individuals to cal...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904215/ https://www.ncbi.nlm.nih.gov/pubmed/31746734 http://dx.doi.org/10.7554/eLife.48476 |
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author | D'Antonio, Matteo Reyna, Joaquin Jakubosky, David Donovan, Margaret KR Bonder, Marc-Jan Matsui, Hiroko Stegle, Oliver Nariai, Naoki D'Antonio-Chronowska, Agnieszka Frazer, Kelly A |
author_facet | D'Antonio, Matteo Reyna, Joaquin Jakubosky, David Donovan, Margaret KR Bonder, Marc-Jan Matsui, Hiroko Stegle, Oliver Nariai, Naoki D'Antonio-Chronowska, Agnieszka Frazer, Kelly A |
author_sort | D'Antonio, Matteo |
collection | PubMed |
description | The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease. We create a comprehensive map of regulatory variation in the MHC region using WGS from 419 individuals to call eight-digit HLA types and RNA-seq data from matched iPSCs. Building on this regulatory map, we explored GWAS signals for 4083 traits, detecting colocalization for 180 disease loci with eQTLs. We show that eQTL analyses taking HLA type haplotypes into account have substantially greater power compared with only using single variants. We examined the association between the 8.1 ancestral haplotype and delayed colonization in Cystic Fibrosis, postulating that downregulation of RNF5 expression is the likely causal mechanism. Our study provides insights into the genetic architecture of the MHC region and pinpoints disease associations that are due to differential expression of HLA genes and non-HLA genes. |
format | Online Article Text |
id | pubmed-6904215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-69042152019-12-12 Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease D'Antonio, Matteo Reyna, Joaquin Jakubosky, David Donovan, Margaret KR Bonder, Marc-Jan Matsui, Hiroko Stegle, Oliver Nariai, Naoki D'Antonio-Chronowska, Agnieszka Frazer, Kelly A eLife Computational and Systems Biology The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease. We create a comprehensive map of regulatory variation in the MHC region using WGS from 419 individuals to call eight-digit HLA types and RNA-seq data from matched iPSCs. Building on this regulatory map, we explored GWAS signals for 4083 traits, detecting colocalization for 180 disease loci with eQTLs. We show that eQTL analyses taking HLA type haplotypes into account have substantially greater power compared with only using single variants. We examined the association between the 8.1 ancestral haplotype and delayed colonization in Cystic Fibrosis, postulating that downregulation of RNF5 expression is the likely causal mechanism. Our study provides insights into the genetic architecture of the MHC region and pinpoints disease associations that are due to differential expression of HLA genes and non-HLA genes. eLife Sciences Publications, Ltd 2019-11-20 /pmc/articles/PMC6904215/ /pubmed/31746734 http://dx.doi.org/10.7554/eLife.48476 Text en © 2019, D'Antonio et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology D'Antonio, Matteo Reyna, Joaquin Jakubosky, David Donovan, Margaret KR Bonder, Marc-Jan Matsui, Hiroko Stegle, Oliver Nariai, Naoki D'Antonio-Chronowska, Agnieszka Frazer, Kelly A Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease |
title | Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease |
title_full | Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease |
title_fullStr | Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease |
title_full_unstemmed | Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease |
title_short | Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease |
title_sort | systematic genetic analysis of the mhc region reveals mechanistic underpinnings of hla type associations with disease |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904215/ https://www.ncbi.nlm.nih.gov/pubmed/31746734 http://dx.doi.org/10.7554/eLife.48476 |
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