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Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese

Author

Listed:
  • Ping Rao

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
    Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China)

  • Yong Zhou

    (Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China)

  • Si-Qi Ge

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
    School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia)

  • An-Xin Wang

    (Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China)

  • Xin-Wei Yu

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
    School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia)

  • Mohamed Ali Alzain

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Andrea Katherine Veronica

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Jing Qiu

    (School of Public Health, Ningxia Medical University, Yinchuan 750021, China)

  • Man-Shu Song

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Jie Zhang

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Hao Wang

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Hong-Hong Fang

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Qing Gao

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • You-Xin Wang

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China)

  • Wei Wang

    (Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China
    School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia)

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.

Suggested Citation

  • Ping Rao & Yong Zhou & Si-Qi Ge & An-Xin Wang & Xin-Wei Yu & Mohamed Ali Alzain & Andrea Katherine Veronica & Jing Qiu & Man-Shu Song & Jie Zhang & Hao Wang & Hong-Hong Fang & Qing Gao & You-Xin Wang , 2016. "Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese," IJERPH, MDPI, vol. 13(9), pages 1-10, August.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:9:p:863-:d:77034
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    References listed on IDEAS

    as
    1. Ping Rao & Hao Wang & Honghong Fang & Qing Gao & Jie Zhang & Manshu Song & Yong Zhou & Youxin Wang & Wei Wang, 2016. "Association between IGF2BP2 Polymorphisms and Type 2 Diabetes Mellitus: A Case–Control Study and Meta-Analysis," IJERPH, MDPI, vol. 13(6), pages 1-13, June.
    2. Yi-Cheng Chang & Pi-Hua Liu & Yu-Hsiang Yu & Shan-Shan Kuo & Tien-Jyun Chang & Yi-Der Jiang & Jiun-Yi Nong & Juey-Jen Hwang & Lee-Ming Chuang, 2014. "Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
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