Genetic association analysis of 13 nuclear-encoded mitochondrial candidate genes with type II diabetes mellitus: The DAMAGE study

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Erwin Reiling, Jana V van Vliet-Ostaptchouk, Esther van 't Riet, Timon W van Haeften, Pascal A Arp, Torben Hansen, Dennis Kremer, Marlous J Groenewoud, Els C van Hove, Johannes A Romijn, Jan W A Smit, Giel Nijpels, Robert J Heine, André G Uitterlinden, Oluf Pedersen, P Eline Slagboom, Johannes A Maassen, Marten H Hofker, Leen M 't Hart, Jacqueline M Dekker

Mitochondria play an important role in many processes, like glucose metabolism, fatty acid oxidation and ATP synthesis. In this study, we aimed to identify association of common polymorphisms in nuclear-encoded genes involved in mitochondrial protein synthesis and biogenesis with type II diabetes mellitus (T2DM) using a two-stage design. In the first stage, we analyzed 62 tagging single nucleotide polymorphisms (SNPs) in the Hoorn study (n=999 participants) covering all common variation in 13 biological candidate genes. These 13 candidate genes were selected from four clusters regarded essential for correct mitochondrial protein synthesis and biogenesis: aminoacyl tRNA synthetases, translation initiation factors, tRNA modifying enzymes and mitochondrial DNA transcription and replication. SNPs showing evidence for association with T2DM were measured in second stage genotyping (n=10164 participants). After a meta-analysis, only one SNP in SIRT4 (rs2522138) remained significant (P=0.01). Extending the second stage with samples from the Danish Steno Study (n=1220 participants) resulted in a common odds ratio (OR) of 0.92 (0.85-1.00), P=0.06. Moreover, in a large meta-analysis of three genome-wide association studies, this SNP was also not associated with T2DM (P=0.72). In conclusion, we did not find evidence for association of common variants in 13 nuclear-encoded mitochondrial proteins with T2DM.European Journal of Human Genetics advance online publication, 11 February 2009; doi:10.1038/ejhg.2009.4.
Original languageEnglish
JournalEuropean Journal of Human Genetics
Volume17
Issue number8
Pages (from-to)1056-1062
Number of pages6
ISSN1018-4813
DOIs
Publication statusPublished - 2009

ID: 11953717