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

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

Yang Luo, Masahiro Kanai, Wanson Choi, Xinyi Li, Saori Sakaue, Kenichi Yamamoto, Kotaro Ogawa, Maria Gutierrez-Arcelus, Peter K. Gregersen, Philip E. Stuart, …
Nature genetics, Vol.53(10), pp.1504-1516
10/01/2021
DOI: 10.1038/s41588-021-00935-7
PMCID: PMC8959399
PMID: 34611364
url
https://www.ncbi.nlm.nih.gov/pmc/articles/8959399View
Open Access

Abstract

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.
Genetics & Heredity Life Sciences & Biomedicine Science & Technology

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