- Luo, Yang;
- Kanai, Masahiro;
- Choi, Wanson;
- Li, Xinyi;
- Sakaue, Saori;
- Yamamoto, Kenichi;
- Ogawa, Kotaro;
- Gutierrez-Arcelus, Maria;
- Gregersen, Peter K;
- Stuart, Philip E;
- Elder, James T;
- Forer, Lukas;
- Schönherr, Sebastian;
- Fuchsberger, Christian;
- Smith, Albert V;
- Fellay, Jacques;
- Carrington, Mary;
- Haas, David W;
- Guo, Xiuqing;
- Palmer, Nicholette D;
- Chen, Yii-Der Ida;
- Rotter, Jerome I;
- Taylor, Kent D;
- Rich, Stephen S;
- Correa, Adolfo;
- Wilson, James G;
- Kathiresan, Sekar;
- Cho, Michael H;
- Metspalu, Andres;
- Esko, Tonu;
- Okada, Yukinori;
- Han, Buhm;
- McLaren, Paul J;
- Raychaudhuri, Soumya
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.