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Assembly and analysis of 100 full MHC haplotypes from the Danish population
Author(s) -
Jacob Malte Jensen,
Palle Villesen,
Rune M. Friborg,
Ole Lund,
Søren Besenbacher,
Mikkel Heide Schierup
Publication year - 2017
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.218891.116
Subject(s) - biology , major histocompatibility complex , haplotype , linkage disequilibrium , genetics , imputation (statistics) , balancing selection , human leukocyte antigen , genome , genetic association , genome wide association study , evolutionary biology , population , tag snp , computational biology , gene , allele , single nucleotide polymorphism , genotype , demography , machine learning , antigen , sociology , missing data , computer science
Genes in the major histocompatibility complex (MHC, also known as HLA) play a critical role in the immune response and variation within the extended 4-Mb region shows association with major risks of many diseases. Yet, deciphering the underlying causes of these associations is difficult because the MHC is the most polymorphic region of the genome with a complex linkage disequilibrium structure. Here, we reconstruct full MHC haplotypes from de novo assembled trios without relying on a reference genome and perform evolutionary analyses. We report 100 full MHC haplotypes and call a large set of structural variants in the regions for future use in imputation with GWAS data. We also present the first complete analysis of the recombination landscape in the entire region and show how balancing selection at classical genes have linked effects on the frequency of variants throughout the region.

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