A Two-Step Association Study Identifies CAV2 rs2270188 Single Nucleotide Polymorphism Interaction with Fat Intake in Type 2 Diabetes Risk
Author(s) -
Eva Fisher,
Stefan Schreiber,
HansGeorg Joost,
Heiner Boeing,
Frank Döring
Publication year - 2010
Publication title -
journal of nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.463
H-Index - 265
eISSN - 1541-6100
pISSN - 0022-3166
DOI - 10.3945/jn.110.124206
Subject(s) - single nucleotide polymorphism , type 2 diabetes , medicine , endocrinology , prospective cohort study , diabetes mellitus , population , peroxisome proliferator activated receptor gamma , case control study , biology , genotype , genetics , peroxisome proliferator activated receptor , environmental health , gene , receptor
Multiple genetic and environmental factors underlie the etiology of type 2 diabetes. To evaluate the influence of the relationship between dietary fat intake and single nucleotide polymorphisms (SNPs) in genes involved in fat assimilation on disease susceptibility, a 2-step approach using an exploratory case-control study (n = 192/384) and an independent, confirmatory case-cohort study (n = 614/2248) taken from the same prospective study population (European Prospective Investigation into Cancer and Nutrition-Potsdam) was used. Sixty-three SNPs in 32 genes were initially analyzed. Total intake of fat and fatty acid intake were calculated from validated baseline FFQ. The SNP × nutrient interaction was tested in multivariate adjusted regression models. The initial screening step revealed evidence that, for 4 SNPs (CAV2 rs2270188, DBI rs2084202, PPARG rs1801282, and SREBF1 rs2297508), disease susceptibility might depend on the amount and quality of fat intake. The insulin receptor regulator CAV2 rs2270188 G > T SNP was found to interact with dietary fat in the confirmatory case-cohort study. Using pooled data, homozygous individuals of the rare T-allele showed a 100% greater risk of type 2 diabetes if daily fat intake was increased from 30 to 40 % energy. An increase in dietary SFA from 10 to 20 % energy predicted an ~200% greater risk of type 2 diabetes. We found preliminary evidence that CAV2 rs2270188 interacts with dietary fat to affect risk of type 2 diabetes.
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