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GWAS Study

A genome-wide cross-trait analysis identifies shared loci and causal relationships of type 2 diabetes and glycaemic traits with polycystic ovary syndrome.

Liu Q, Tang B, Zhu Z et al.

35771237 PubMed ID
GWAS Study Type
1011368 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LQ
Liu Q
TB
Tang B
ZZ
Zhu Z
KP
Kraft P
DQ
Deng Q
SE
Stener-Victorin E
JX
Jiang X
Chapter II

Abstract

Summary of the research findings

Aims/hypothesis: The link underlying abnormal glucose metabolism, type 2 diabetes and polycystic ovary syndrome (PCOS) that is independent of BMI remains unclear in observational studies. We aimed to clarify this association using a genome-wide cross-trait approach.

upto 74,124 type 2 diabetes European ancestry cases, upto 824,006 European ancestry controls without type 2 diabetes, upto 10,074 polycystic ovary syndrome European ancestry cases, upto 103,164 polycystic ovary syndrome European ancestry controls without polycystic ovary syndrome

Chapter III

Study Statistics

Key metrics and study information

1011368
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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