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BMC Genetics

, 14:86

Complex traits and quantitative genetics

Abstract

BackgroundGenome-wide association study GWAS has identified that rs8050136 C-A polymorphism in fat mass and obesity-associated gene FTO was associated with the risk of type 2 diabetes T2D in Europeans. But this association was abolished after adjustment for body mass index BMI, suggesting that the effect of rs8050136 on T2D risk might be mediated by BMI in Europeans. However, the findings in subsequent studies were inconsistent among Asian populations. To determine whether rs8050136 polymorphism in FTO is independently associated with the risk of T2D in Chinese, we conducted a case–control study with 2,925 T2D patients and 3,281 controls in Han Chinese.

ResultsLogistic regression revealed that the A allele of rs8050136 was significantly associated with an increased risk of T2D, independent of BMI odds ratio OR = 1.17, 95% confidence interval 95% CI = 1.03-1.32, p = 0.016. Meta-analysis containing 10 reported studies and our data with a total of 15,819 cases and 18,314 controls further confirmed the association between rs8050136 polymorphism and T2D risk in East Asians OR = 1.13, 95% CI = 1.07-1.19.

ConclusionsOur findings indicate that the genetic variant in FTO may contribute to T2D risk in Han Chinese and rs8050136 polymorphism may be a genetic marker for T2D susceptibility.

KeywordsFat mass and obesity-associated Gene Genome-wide association study Genetic susceptibility Single nucleotide polymorphism Type 2 diabetes AbbreviationsGWASGenome-wide association study

FTOFat mass and obesity-associated gene

T2DType 2 diabetes

BMIBody mass index

OROdds ratio

95% CI95% confidence interval

SNPSingle nucleotide polymorphism

LDLinkage disequilibrium

FBGFasting blood glucose

TCTotal cholesterol

TGTriglyceride

HDL-CHigh-density lipoprotein-cholesterol

HWEHardy–weinberg equilibrium

MAFMinor allele frequency.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2156-14-86 contains supplementary material, which is available to authorized users.

Yun Qian, Sijun Liu, Feng Lu contributed equally to this work.

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Author: Yun Qian - Sijun Liu - Feng Lu - Huizhang Li - Meihua Dong - Yudi Lin - Jiangbo Du - Yuan Lin - Jianhang Gong - Guangfu 

Source: https://link.springer.com/







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