Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes
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...
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Veröffentlicht in: | Nature genetics 2021-11, Vol.53 (11), p.1534-1542 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 1061-4036 1546-1718 1546-1718 |
DOI: | 10.1038/s41588-021-00948-2 |