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First Genome-Wide Association Study of Latent Autoimmune Diabetes in Adults Reveals Novel Insights Linking Immune and Metabolic Diabetes.

Title: First Genome-Wide Association Study of Latent Autoimmune Diabetes in Adults Reveals Novel Insights Linking Immune and Metabolic Diabetes.
Authors: Cousminer, DL; Ahlqvist, E; Mishra, R; Andersen, MK; Chesi, A; Hawa, MI; Davis, A; Hodge, KM; Bradfield, JP; Zhou, K; Guy, VC; Åkerlund, M; Wod, M; Fritsche, LG; Vestergaard, H; Snyder, J; Højlund, K; Linneberg, A; Käräjämäki, A; Brandslund, I; Kim, CE; Witte, D; Sørgjerd, EP; Brillon, DJ; Pedersen, O; Beck-Nielsen, H; Grarup, N; Pratley, RE; Rickels, MR; Vella, A; Ovalle, F; Melander, O; Harris, RI; Varvel, S; Grill, VER; Bone Mineral Density in Childhood Study; Hakonarson, H; Froguel, P; Lonsdale, JT; Mauricio, D; Schloot, NC; Khunti, K; Greenbaum, CJ; Åsvold, BO; Yderstræde, KB; Pearson, ER; Schwartz, S; Voight, BF; Hansen, T; Tuomi, T; Boehm, BO; Groop, L; Leslie, RD; Grant, SFA
Publication Year: 2018
Collection: Queen Mary University of London: Queen Mary Research Online (QMRO)
Subject Terms: Adult; Aged; Case-Control Studies; Diabetes Mellitus; Type 1; Type 2; Female; Genome-Wide Association Study; Glucose Intolerance; Haplotypes; Humans; Immune System Phenomena; Insulin; Latent Autoimmune Diabetes in Adults; Male; Middle Aged; Young Adult
Description: OBJECTIVE: Latent autoimmune diabetes in adults (LADA) shares clinical features with both type 1 and type 2 diabetes; however, there is ongoing debate regarding the precise definition of LADA. Understanding its genetic basis is one potential strategy to gain insight into appropriate classification of this diabetes subtype. RESEARCH DESIGN AND METHODS: We performed the first genome-wide association study of LADA in case subjects of European ancestry versus population control subjects (n = 2,634 vs. 5,947) and compared against both case subjects with type 1 diabetes (n = 2,454 vs. 968) and type 2 diabetes (n = 2,779 vs. 10,396). RESULTS: The leading genetic signals were principally shared with type 1 diabetes, although we observed positive genetic correlations genome-wide with both type 1 and type 2 diabetes. Additionally, we observed a novel independent signal at the known type 1 diabetes locus harboring PFKFB3, encoding a regulator of glycolysis and insulin signaling in type 2 diabetes and inflammation and autophagy in autoimmune disease, as well as an attenuation of key type 1-associated HLA haplotype frequencies in LADA, suggesting that these are factors that distinguish childhood-onset type 1 diabetes from adult autoimmune diabetes. CONCLUSIONS: Our results support the need for further investigations of the genetic factors that distinguish forms of autoimmune diabetes as well as more precise classification strategies.
Document Type: conference object
File Description: 2396 - 2403
Language: English
Relation: https://qmro.qmul.ac.uk/xmlui/handle/123456789/58959
DOI: 10.2337/dc18-1032
Availability: https://qmro.qmul.ac.uk/xmlui/handle/123456789/58959; https://doi.org/10.2337/dc18-1032
Accession Number: edsbas.B3F5595E
Database: BASE