Oncotarget

Research Papers:

Genetic polymorphisms in ALDH2 are associated with drug addiction in a Chinese Han population

Chan Zhang, Heng Ding, Yujing Cheng, Wanlu Chen, Qi Li, Qing Li, Run Dai and Manlin Luo _

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Oncotarget. 2017; 8:8597-8603. https://doi.org/10.18632/oncotarget.14354

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Abstract

Chan Zhang1,*, Heng Ding2,*, Yujing Cheng1, Wanlu Chen1, Qi Li1, Qing Li1, Run Dai1, Manlin Luo3

1Department of Blood Transfusion, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, Yunnan, China

2Honghe Center Blood Station, Mengzi 661100, Yunnan, China

3Department of Blood Transfusion, The Second People’s Hospital of Yunnan Province, Kunming 650032, Yunnan, China

*Co-first authors

Correspondence to:

Manlin Luo, email: [email protected]

Keywords: drug addiction, ALDH2, single nucleotide polymorphisms (SNPs), case-control study, association study

Received: September 20, 2016     Accepted: December 06, 2016     Published: December 29, 2016

ABSTRACT

We investigated the association between single nucleotide polymorphisms (SNPs) in ALDH2, which has been associated with alcohol dependence and several types of diseases, and the risk of drug addiction in a Chinese Han population. In a case-control study that included 692 cases and 700 healthy controls, eight SNPs in ALDH2 were selected and genotyped using the Sequenom MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression after adjusting for age and gender. We determined that rs671 is significantly associated with a 1.551-fold increased drug addiction risk (95% CI = 1.263-1.903; p < 0.001). In the genetic model analysis, we found that rs671 is associated with an increased risk of drug addiction under additive, dominant and recessive models (p < 0.001), while rs886205, rs441 and rs4646778 displayed a decreased drug addiction risk under additive and recessive model, respectively (p < 0.05). SNP rs671 remained significant after Bonferroni correction (p<0.00125). Additionally, we observed that haplotype “GTCAC” was associated with increased drug addiction risk (OR = 1.668; 95% CI, 1.328–2.094, p < 0.001); in contrast, “ATCGC” was a protective haplotype for drug addiction risk (OR = 0.444; 95% CI, 0.281–0.704, p < 0.001). Our findings showed that ALDH2 polymorphisms are significantly associated with the risk of drug addiction in the Chinese Han population.


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