Authors
Ping Rao, Capital Medical University China
Yong Zhou, Capital Medical University China
Siqi Ge, Municipal Key Laboratory of Clinical Epidemiology, Beijing
Anxin Wang, Capital Medical University China
Xinwei Yu, Municipal Key Laboratory of Clinical Epidemiology, Beijing
Mohamed Ali Alzain, Capital Medical University China
Andrea K. Veronica, Capital Medical University China
Jing Qiu, Ningxia Medical College, China
Manshu Song, Municipal Key Laboratory of Clinical Epidemiology, Beijing
Jie Zhang, Capital Medical University China
Hao Wang, Capital Medical University China
Honghong Fang, Municipal Key Laboratory of Clinical Epidemiology, Beijing
Qing Gao, Municipal Key Laboratory of Clinical Epidemiology, Beijing
Youxin Wang, Edith Cowan University
Wei Wang, Edith Cowan UniversityFollow
Document Type
Journal Article
Publisher
M D P I AG
Place of Publication
Switzerland
School
School of Medical and Health Sciences
RAS ID
22400
Funders
National Natural Science Foundation of China (81370083, 81273170)
National “12th Five-Year” Plan for Science and Technology Support, China (2012BAI37B03)
Joint Project of the Australian National Health and Medical Research Council and the National Natural Science Foundation of China (NHMRC APP1112767, NSFC 81561128020)
Recovery Medical Science Foundation, China
Beijing Higher Education Young Elite Teacher Project
(YETP1671)
Beijing Nova Program (Z141107001814058)
Grant Number
NHMRC Number : 1112767
Abstract
Background:
More than 60 genetic susceptibility loci associated with type 2 diabetes mellitus (T2DM) have been established in populations of Asian and European ancestry. Given ethnic differences and environmental factors, validation of the effects of genetic risk variants with reported associations identified by Genome-Wide Association Studies (GWASs) is essential. The study aims at evaluating the associations of T2DM with 29 single nucleotide polymorphisms (SNPs) from 19 candidate genes derived from GWASs in a northern Han Chinese population.
Method:
In this case-control study, 461 T2DM-diagnosed patients and 434 controls were recruited at the Jidong oil field hospital (Hebei, China) from January 2009 to October 2013. A cumulative genetic risk score (cGRS) was calculated by summation of the number of risk alleles, and a weight GRS (wGRS) was calculated as the sum of risk alleles at each locus multiplied by their effect sizes for T2DM, using the independent variants selected.
Result:
The allelic frequency of the “A” allele at rs17106184 (Fas-associated factor 1, FAF1) was significantly higher in the T2DM patients than that of the healthy controls (11.7% vs. 6.4%, p < 0.001). Individuals in the highestquartile of wGRS had an over three-fold increased risk for developing T2DM compared with those in the lowest quartile (odds ratio = 3.06, 95% CI = 1.92-4.88, p < 0.001) adjusted for age, sex, BMI, total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), systolic blood pressure (SBP) and diastolic blood pressure (DBP). The results were similar when analyzed with the cGRS.
Conclusions:
We confirmed the association between rs17106184 (FAF1) and T2DM in a northern Han Chinese population. The GRS calculated based on T2DM susceptibility variants may be a useful tool for predicting the T2DM susceptibility.
DOI
10.3390/ijerph13090863
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Rao, P., Zhou, Y., Ge, S. Q., Wang, A. X., Yu, X. W., Alzain, M. A., ... & Wang, H. (2016). Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese. International Journal of Environmental Research and Public Health, 13(9), 863.
https://doi.org/10.3390/ijerph13090863