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GWAS Study

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

Sakaue S, Kanai M, Tanigawa Y et al.

34594039 PubMed ID
GWAS Study Type
178689 Participants
1,241 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SS
Sakaue S
KM
Kanai M
TY
Tanigawa Y
KJ
Karjalainen J
KM
Kurki M
KS
Koshiba S
NA
Narita A
KT
Konuma T
YK
Yamamoto K
AM
Akiyama M
IK
Ishigaki K
SA
Suzuki A
SK
Suzuki K
OW
Obara W
YK
Yamaji K
TK
Takahashi K
AS
Asai S
TY
Takahashi Y
ST
Suzuki T
SN
Shinozaki N
YH
Yamaguchi H
MS
Minami S
MS
Murayama S
YK
Yoshimori K
NS
Nagayama S
OD
Obata D
HM
Higashiyama M
MA
Masumoto A
KY
Koretsune Y
IK
Ito K
TC
Terao C
YT
Yamauchi T
KI
Komuro I
KT
Kadowaki T
TG
Tamiya G
YM
Yamamoto M
NY
Nakamura Y
KM
Kubo M
MY
Murakami Y
YK
Yamamoto K
KY
Kamatani Y
PA
Palotie A
RM
Rivas MA
DM
Daly MJ
MK
Matsuda K
OY
Okada Y
Chapter II

Abstract

Summary of the research findings

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 (n = 179,000), by incorporating past medical history and text-mining of electronic medical records. Meta-analyses with the UK Biobank and FinnGen (ntotal = 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.

314 East Asian ancestry cases, 178,375 East Asian ancestry controls

Chapter III

Study Statistics

Key metrics and study information

178689
Total Participants
GWAS
Study Type
No
Replicated
East Asian, European
Ancestry
Japan, Finland, U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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