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

Authors :
Mansour Aly, Dina
Dwivedi, Om Prakash
Prasad, Rashmi B.
Käräjämäki, Annemari
Hjort, Rebecka
Thangam, Manonanthini
Åkerlund, Mikael
Mahajan, Anubha
Udler, Miriam S.
Florez, Jose C.
McCarthy, Mark I.
Brosnan, Julia
Melander, Olle
Carlsson, Sofia
Hansson, Ola
Tuomi, Tiinamaija
Groop, Leif
Ahlqvist, Emma
Source :
Nature Genetics; November 2021, Vol. 53 Issue: 11 p1534-1542, 9p
Publication Year :
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 TCF7L2locus or GRS reflecting insulin secretion. Further, an SNP (rs10824307) near LRMDAwas uniquely associated with mild obesity-related diabetes. Therefore, we conclude that the subtypes have partially distinct genetic backgrounds indicating etiological differences.

Details

Language :
English
ISSN :
10614036 and 15461718
Volume :
53
Issue :
11
Database :
Supplemental Index
Journal :
Nature Genetics
Publication Type :
Periodical
Accession number :
ejs58202985
Full Text :
https://doi.org/10.1038/s41588-021-00948-2