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  4. A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response
 
research article

A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response

Luo, Yang
•
Kanai, Masahiro
•
Choi, Wanson
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October 1, 2021
Nature Genetics

A high-resolution reference panel based on whole-genome sequencing data enables accurate imputation of HLA alleles across diverse populations and fine-mapping of HLA association signals for HIV-1 host response.

Fine-mapping to plausible causal variation may be more effective in multi-ancestry cohorts, particularly in the MHC, which has population-specific structure. To enable such studies, we constructed a large (n = 21,546) HLA reference panel spanning five global populations based on whole-genome sequences. Despite population-specific long-range haplotypes, we demonstrated accurate imputation at G-group resolution (94.2%, 93.7%, 97.8% and 93.7% in admixed African (AA), East Asian (EAS), European (EUR) and Latino (LAT) populations). Applying HLA imputation to genome-wide association study data for HIV-1 viral load in three populations (EUR, AA and LAT), we obviated effects of previously reported associations from population-specific HIV studies and discovered a novel association at position 156 in HLA-B. We pinpointed the MHC association to three amino acid positions (97, 67 and 156) marking three consecutive pockets (C, B and D) within the HLA-B peptide-binding groove, explaining 12.9% of trait variance.

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Type
research article
DOI
10.1038/s41588-021-00935-7
Web of Science ID

WOS:000703962800011

Author(s)
Luo, Yang
Kanai, Masahiro
Choi, Wanson
Li, Xinyi
Sakaue, Saori
Yamamoto, Kenichi
Ogawa, Kotaro
Gutierrez-Arcelus, Maria
Gregersen, Peter K.
Stuart, Philip E.
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Date Issued

2021-10-01

Publisher

NATURE PORTFOLIO

Published in
Nature Genetics
Volume

53

Issue

10

Start page

1504

End page

1516

Subjects

Genetics & Heredity

•

Genetics & Heredity

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polygenic risk scores

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genetic-basis

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amino-acid

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haplotypes

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alleles

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association

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loci

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mhc

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micropolymorphism

•

identification

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPFELLAY  
Available on Infoscience
October 23, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/182558
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