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A cross-population atlas of genetic associations for 220 human phenotypes.

Authors :
Sakaue S
Kanai M
Tanigawa Y
Karjalainen J
Kurki M
Koshiba S
Narita A
Konuma T
Yamamoto K
Akiyama M
Ishigaki K
Suzuki A
Suzuki K
Obara W
Yamaji K
Takahashi K
Asai S
Takahashi Y
Suzuki T
Shinozaki N
Yamaguchi H
Minami S
Murayama S
Yoshimori K
Nagayama S
Obata D
Higashiyama M
Masumoto A
Koretsune Y
Ito K
Terao C
Yamauchi T
Komuro I
Kadowaki T
Tamiya G
Yamamoto M
Nakamura Y
Kubo M
Murakami Y
Yamamoto K
Kamatani Y
Palotie A
Rivas MA
Daly MJ
Matsuda K
Okada Y
Source :
Nature genetics [Nat Genet] 2021 Oct; Vol. 53 (10), pp. 1415-1424. Date of Electronic Publication: 2021 Sep 30.
Publication Year :
2021

Abstract

Current genome-wide association studies do not yet capture sufficient diversity in populations and scope of phenotypes. To expand an atlas of genetic associations in non-European populations, we conducted 220 deep-phenotype genome-wide association studies (diseases, biomarkers and medication usage) in BioBank Japan (nā€‰=ā€‰179,000), by incorporating past medical history and text-mining of electronic medical records. Meta-analyses with the UK Biobank and FinnGen (n <subscript>total</subscript> ā€‰=ā€‰628,000) identified ~5,000 new loci, which improved the resolution of the genomic map of human traits. This atlas elucidated the landscape of pleiotropy as represented by the major histocompatibility complex locus, where we conducted HLA fine-mapping. Finally, we performed statistical decomposition of matrices of phenome-wide summary statistics, and identified latent genetic components, which pinpointed responsible variants and biological mechanisms underlying current disease classifications across populations. The decomposed components enabled genetically informed subtyping of similar diseases (for example, allergic diseases). Our study suggests a potential avenue for hypothesis-free re-investigation of human diseases through genetics.<br /> (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Details

Language :
English
ISSN :
1546-1718
Volume :
53
Issue :
10
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
34594039
Full Text :
https://doi.org/10.1038/s41588-021-00931-x