title: Joint effect of genetic and lifestyle risk factors on type 2 diabetes risk among Chinese men and women.
abstract: More than 40 genetic susceptibility loci have been reported for type 2 diabetes (T2D). Recently, the combined effect of genetic variants has been investigated by calculating a genetic risk score. We evaluated 36 genome-wide association study (GWAS) identified SNPs in 2,679 T2D cases and 3322 controls in middle-age Han Chinese. Fourteen SNPs were significantly associated with T2D in analysis adjusted for age, sex and BMI. We calculated two genetic risk scores (GRS) (GRS1 with all the 36 SNPs and GRS2 with the 14 SNPs significantly associated with T2D). The odds ratio for T2D with each GRS point (per risk allele) was 1.08 (95% CI: 1.06-1.09) for GRS1 and 1.15 (95% CI: 1.13-1.18) for GRS2. The OR for quintiles were 1.00, 1.26, 1.69, 1.95 and 2.18 (P<0.0001) for GRS1 and 1.00, 1.33, 1.60, 2.03 and 2.80 (P<0.001) for GRS2. Participants in the higher tertile of GRS1 and the higher BMI category had a higher risk of T2D compared to those on the lower tertiles of the GRS1 and of BMI (OR = 11.08; 95% CI: 7.39-16.62). We found similar results when we investigated joint effects between GRS1 and WHR terciles and exercise participation. We finally investigated the joint effect between tertiles of GRSs and a composite high risk score (no exercise participation and high BMI and WHR) on T2D risk. We found that compared to participants with low GRS1 and no high risk factors for T2D, those with high GRS1 and three high risk factors had a higher risk of T2D (OR = 13.06; 95% CI: 8.65-19.72) but the interaction factor was of marginal significance. The association was accentuated when we repeated analysis with the GRS2. In conclusion we found an association between GRS and lifestyle factors, alone and in combination, contributed to the risk of and T2D among middle age Chinese.
authors.affiliation: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America. raquel.villegas@vanderbilt.edu
authors.forename: Raquel
authors.initials: R
authors.lastname: Villegas
authors.forename: Ryan
authors.initials: R
authors.lastname: Delahanty
authors.forename: Yu-Tang
authors.initials: YT
authors.lastname: Gao
authors.forename: Jirong
authors.initials: J
authors.lastname: Long
authors.forename: Scott M
authors.initials: SM
authors.lastname: Williams
authors.forename: Yong-Bing
authors.initials: YB
authors.lastname: Xiang
authors.forename: Hui
authors.initials: H
authors.lastname: Cai
authors.forename: Hong-Lan
authors.initials: HL
authors.lastname: Li
authors.forename: Frank
authors.initials: F
authors.lastname: Hu
authors.forename: Qiuyin
authors.initials: Q
authors.lastname: Cai
authors.forename: Wei
authors.initials: W
authors.lastname: Zheng
authors.forename: Xiao-Ou
authors.initials: XO
authors.lastname: Shu
mesh_terms: D000328:Adult; D000368:Aged; D000886:Anthropometry; D001827:Body Height; D001835:Body Weight; D002681:China; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis* / Q000235:genetics*; D015444:Exercise; D005260:Female; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D005838:Genotype; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D020641:Polymorphism, Single Nucleotide; D015203:Reproducibility of Results; D012306:Risk; D012307:Risk Factors