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

Authors :
Dina, Mansour Aly
Om Prakash, Dwivedi
Rashmi B, Prasad
Annemari, Käräjämäki
Rebecka, Hjort
Manonanthini, Thangam
Mikael, Åkerlund
Anubha, Mahajan
Miriam S, Udler
Jose C, Florez
Mark I, McCarthy
Julia, Brosnan
Olle, Melander
Sofia, Carlsson
Ola, Hansson
Tiinamaija, Tuomi
Leif, Groop
Lyndon J, Mitnaul
Source :
Nature genetics. 53(11)
Publication Year :
2020

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.

Details

ISSN :
15461718
Volume :
53
Issue :
11
Database :
OpenAIRE
Journal :
Nature genetics
Accession number :
edsair.pmid..........a73592c46f35361045d3e5ebe63f894a