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Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes

Authors :
Annemari Käräjämäki
Rashmi B. Prasad
Jose C. Florez
Leif Groop
Anubha Mahajan
Ola Hansson
Rebecka Hjort
Tiinamaija Tuomi
Olle Melander
Om Prakash Dwivedi
Mikael Åkerlund
Dina Mansour Aly
Manonanthini Thangam
Emma Ahlqvist
Miriam S. Udler
Julia Brosnan
Mark I. McCarthy
Sofia Carlsson
Source :
Nature Genetics. 53:1534-1542
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Type 2 diabetes has been reproducibly clustered into five subtypes with different disease progression and risk of complications; however, etiological differences are unknown. We used genome-wide association and genetic risk score (GRS) analysis to compare the underlying genetic drivers. Individuals from the Swedish ANDIS (All New Diabetics In Scania) study were compared to individuals without diabetes; the Finnish DIREVA (Diabetes register in Vasa) and Botnia studies were used for replication. We show that subtypes differ with regard to family history of diabetes and association with GRS for diabetes-related traits. The severe insulin-resistant subtype was uniquely associated with GRS for fasting insulin but not with variants in the TCF7L2 locus or GRS reflecting insulin secretion. Further, an SNP (rs10824307) near LRMDA was uniquely associated with mild obesity-related diabetes. Therefore, we conclude that the subtypes have partially distinct genetic backgrounds indicating etiological differences. Genome-wide association and genetic risk score analyses highlight differences in genetic architecture across five subtypes of diabetes.

Details

ISSN :
15461718 and 10614036
Volume :
53
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi...........a578213c854528baea677b332fde4f36
Full Text :
https://doi.org/10.1038/s41588-021-00948-2