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GWAS Study

Analysis of overlapping genetic association in type 1 and type 2 diabetes.

Inshaw JRJ, Sidore C, Cucca F et al.

33830302 PubMed ID
GWAS Study Type
17685 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

IJ
Inshaw JRJ
SC
Sidore C
CF
Cucca F
SM
Stefana MI
CD
Crouch DJM
MM
McCarthy MI
MA
Mahajan A
TJ
Todd JA
Chapter II

Abstract

Summary of the research findings

Aims/hypothesis: Given the potential shared aetiology between type 1 and type 2 diabetes, we aimed to identify any genetic regions associated with both diseases. For associations where there is a shared signal and the allele that increases risk to one disease also increases risk to the other, inference about shared aetiology could be made, with the potential to develop therapeutic strategies to treat or prevent both diseases simultaneously. Alternatively, if a genetic signal co-localises with divergent effect directions, it could provide valuable biological insight into how the association affects the two diseases differently.

7,467 European ancestry cases, 10,218 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

17685
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Italy, U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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