Genetic variation in SIRT1 affects obesity-related phenotypes in several populations. The purpose of this study was to determine whether variation in SIRT1 affects susceptibility to obesity or type 2 diabetes in Pima Indians, a population with very high prevalence and incidence rates of these diseases. Genotypic data from single nucleotide polymorphisms (SNPs) identified by sequencing regions of SIRT1 combined with SNPs in/near SIRT1 from a prior genome-wide association study determined that 4 tag SNPs (rs7895833, rs10509291, rs7896005, and rs4746720) could capture information across this gene and its adjacent 5' region. The tag SNPs were genotyped in a population-based sample of 3501 Pima Indians (44% had diabetes, 58% female) for association with type 2 diabetes and BMI. Metabolic trait data and adipose biopsies were available on a subset of these subjects. Two tag SNPs, rs10509291 and rs7896005, were nominally associated with type 2 diabetes (P= 0.01, OR = 1.25 95%CI 1.05-1.48, and P= 0.02, OR = 1.17 95%CI 1.02-1.34, respectively; additive P values adjusted for age, sex, birth year, and family membership), but not BMI (adjusted P values 0.52 and 0.45, respectively). Among metabolically characterized subjects with normal glucose tolerance (N = 243), those carrying the diabetes risk allele (T) for rs10509291 and (G) for rs7896005 had a reduced acute insulin response (AIR) to an intravenous glucose bolus (adjusted P= 0.045 and 0.035, respectively). SIRT1 expression in adipose biopsies was negatively correlated with BMI (adjusted P= 0.00001). We conclude that variation in SIRT1 is nominally associated with reduced AIR and increased risk for type 2 diabetes. SIRT1 expression in adipose is correlated with BMI, but it remains unknown whether this is a cause or consequence of obesity. © 2011.
CITATION STYLE
Dong, Y., Guo, T., Traurig, M., Mason, C. C., Kobes, S., Perez, J., … Baier, L. J. (2011). SIRT1 is associated with a decrease in acute insulin secretion and a sex specific increase in risk for type 2 diabetes in Pima Indians. Molecular Genetics and Metabolism, 104(4), 661–665. https://doi.org/10.1016/j.ymgme.2011.08.001
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