Discovery of coding genetic variants influencing diabetes-related serum biomarkers and their impact on risk of type 2 diabetes

Tarunveer Singh Ahluwalia, Kristine Højgaard Allin, Camilla Helene Sandholt, Thomas Hempel Sparsø, Marit Eika Jørgensen, Michael Rowe, Cramer Christensen, Ivan Brandslund, Torsten Lauritzen, Allan Linneberg, Lise Lotte Husemoen, Torben Jørgensen, Torben Hansen, Niels Grarup, Oluf Pedersen

Research output: Contribution to journalJournal articleResearchpeer-review

20 Citations (Scopus)

Abstract

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: We aimed to discover underlying coding genetic variants influencing fasting serum levels of nine biomarkers associated with T2D: adiponectin, C-reactive protein, ferritin, heat shock 70-kDa protein 1B, IGF binding protein 1 and IGF binding protein 2, IL-18, IL-2 receptor-α, and leptin.

DESIGN AND PARTICIPANTS: A population-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, immune function, apoptosis, DNA repair, and oxidative stress, all of which could provide a rationale for novel diabetes therapeutic strategies.

Original languageEnglish
JournalJournal of Clinical Endocrinology and Metabolism
Volume100
Issue number4
Pages (from-to)E664-71
Number of pages8
ISSN0021-972X
DOIs
Publication statusPublished - 2015

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