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Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease

Authors :
Matteo D'Antonio
Joaquin Reyna
David Jakubosky
Margaret KR Donovan
Marc-Jan Bonder
Hiroko Matsui
Oliver Stegle
Naoki Nariai
Agnieszka D'Antonio-Chronowska
Kelly A Frazer
Source :
eLife, Vol 8 (2019)
Publication Year :
2019
Publisher :
eLife Sciences Publications Ltd, 2019.

Abstract

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.

Details

Language :
English
ISSN :
2050084X
Volume :
8
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.224f13a67a748a8bec4d67eca6a4a77
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.48476