TY - JOUR
T1 - Discovery of coding genetic variants influencing diabetes-related serum biomarkers and their impact on risk of type 2 diabetes
AU - Ahluwalia, Tarun Veer Singh
AU - Allin, Kristine Højgaard
AU - Sandholt, Camilla Helene
AU - Sparsø, Thomas Hempel
AU - Jørgensen, Marit Eika
AU - Rowe, Michael
AU - Christensen, Cramer
AU - Brandslund, Ivan
AU - Lauritzen, Torsten
AU - Linneberg, Allan
AU - Husemoen, Lise-Lotte
AU - Jørgensen, Torben
AU - Hansen, Torben
AU - Grarup, Niels
AU - Pedersen, Oluf
PY - 2015/4/1
Y1 - 2015/4/1
N2 - Context: Type 2 diabetes (T2D) prevalence is spiraling globally, and knowledge of its pathophysiological signatures is crucial for a better understanding and treatment of the disease. Objective: Weaimed to discover underlying coding geneticvariants influencing fasting serum levels of nine biomarkers associated with T2D: adiponectin, C-reactive protein, ferritin, heatshock70-kDaprotein 1B, IGF binding protein 1 and IGF binding protein 2, IL-18, IL-2 receptor-α, and leptin. Design and Participants: Apopulation-based sample of 6215 adult Danes was genotyped for 16 340 coding single-nucleotide polymorphisms and were tested for association with each biomarker. Identified loci were tested for association with T2D through a large-scale meta-analysis involving up to 17 024 T2D cases and up to 64 186 controls. Results: We discovered 11 associations between single-nucleotide polymorphisms and five distinct biomarkers at a study-wide P < 3.4 × 10-7. Nine associations were novel: IL18: BIRC6, RAD17, MARVELD2; ferritin: F5; IGF binding protein 1: SERPING1, KLKB, GCKR, CELSR2, and heat shock 70-kDa protein 1B: CFH. Three of the identified loci (CELSR2, HNF1A, and GCKR) were significantly associated with T2D, of which the association with the CELSR2 locus has not been shown previously. Conclusion: The identified loci influence processes related to insulin signaling, cell communication, immunefunction, apoptosis, DNArepair, and oxidative stress, all of which could provide a rationale for novel diabetes therapeutic strategies.
AB - Context: Type 2 diabetes (T2D) prevalence is spiraling globally, and knowledge of its pathophysiological signatures is crucial for a better understanding and treatment of the disease. Objective: Weaimed to discover underlying coding geneticvariants influencing fasting serum levels of nine biomarkers associated with T2D: adiponectin, C-reactive protein, ferritin, heatshock70-kDaprotein 1B, IGF binding protein 1 and IGF binding protein 2, IL-18, IL-2 receptor-α, and leptin. Design and Participants: Apopulation-based sample of 6215 adult Danes was genotyped for 16 340 coding single-nucleotide polymorphisms and were tested for association with each biomarker. Identified loci were tested for association with T2D through a large-scale meta-analysis involving up to 17 024 T2D cases and up to 64 186 controls. Results: We discovered 11 associations between single-nucleotide polymorphisms and five distinct biomarkers at a study-wide P < 3.4 × 10-7. Nine associations were novel: IL18: BIRC6, RAD17, MARVELD2; ferritin: F5; IGF binding protein 1: SERPING1, KLKB, GCKR, CELSR2, and heat shock 70-kDa protein 1B: CFH. Three of the identified loci (CELSR2, HNF1A, and GCKR) were significantly associated with T2D, of which the association with the CELSR2 locus has not been shown previously. Conclusion: The identified loci influence processes related to insulin signaling, cell communication, immunefunction, apoptosis, DNArepair, and oxidative stress, all of which could provide a rationale for novel diabetes therapeutic strategies.
U2 - 10.1210/jc.2014-3677
DO - 10.1210/jc.2014-3677
M3 - Journal article
C2 - 25599387
SN - 0021-972X
VL - 100
SP - E664-71
JO - Journal of Clinical Endocrinology and Metabolism
JF - Journal of Clinical Endocrinology and Metabolism
IS - 4
ER -
