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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
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.
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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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