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GWAS Study

GWAS of five gynecologic diseases and cross-trait analysis in Japanese.

Masuda T, Low SK, Akiyama M et al.

31488892 PubMed ID
GWAS Study Type
44792 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MT
Masuda T
LS
Low SK
AM
Akiyama M
HM
Hirata M
UY
Ueda Y
MK
Matsuda K
KT
Kimura T
MY
Murakami Y
KM
Kubo M
KY
Kamatani Y
OY
Okada Y
Chapter II

Abstract

Summary of the research findings

We performed genome-wide association studies of five gynecologic diseases using data of 46,837 subjects (5236 uterine fibroid, 645 endometriosis, 647 ovarian cancer (OC), 909 uterine endometrial cancer (UEC), and 538 uterine cervical cancer (UCC) cases allowing overlaps, and 39,556 shared female controls) from Biobank Japan Project. We used the population-specific imputation reference panel (n = 3541), yielding 7,645,193 imputed variants. Analyses performed under logistic model, linear mixed model, and model incorporating correlations identified nine significant associations with three gynecologic diseases including four novel findings (rs79219469:C > T, LINC02183, P = 3.3 × 10-8 and rs567534295:C > T, BRCA1, P = 3.1 × 10-8 with OC, rs150806792:C > T, INS-IGF2, P = 4.9 × 10-8 and rs140991990:A > G, SOX9, P = 3.3 × 10-8 with UCC). Random-effect meta-analysis of the five GWASs correcting for the overlapping subjects suggested one novel shared risk locus (rs937380553:A > G, LOC730100, P = 2.0 × 10-8). Reverse regression analysis identified three additional novel associations (rs73494486:C > T, GABBR2, P = 4.8 × 10-8, rs145152209:A > G, SH3GL3/BNC1, P = 3.3 × 10-8, and rs147427629:G > A, LOC107985484, P = 3.8 × 10-8). Estimated heritability ranged from 0.026 for OC to 0.220 for endometriosis. Genetic correlations were relatively strong between OC and UEC, endometriosis and OC, and uterine fibroid and OC (rg > 0.79) compared with relatively weak correlations between UCC and the other four (rg = -0.08 ~ 0.25). We successfully identified genetic associations with gynecologic diseases in the Japanese population. Shared genetic effects among multiple related diseases may help understanding the pathophysiology.

5,236 Japanese ancestry cases, 39,556 Japanese ancestry controls

Chapter III

Study Statistics

Key metrics and study information

44792
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
Japan
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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