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Variants in multiple genes polymorphism association analysis of COPD in the Chinese Li population

Authors Ding Y, Yang D, Zhou L, Xu J, Chen Y, He P, Yao J, Chen J, Niu H, Sun P, Jin T

Received 16 April 2015

Accepted for publication 13 May 2015

Published 27 July 2015 Volume 2015:10(1) Pages 1455—1463


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Dr Richard Russell

Yipeng Ding,1,* Danlei Yang,2,3,* Long Zhou,4 Junxu Xu,5 Yu Chen,5 Ping He,1 Jinjian Yao,1 Jiannan Chen,1 Huan Niu,1 Pei Sun,1 Tianbo Jin4

1Department of Emergency, People’s Hospital of Hainan Province, Haikou, Hainan, 2Department of Respiratory and Critical Care Medicine, Tongji Hospital, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Medical College, 3Department of Science and Technology, Huazhong University, Wuhan, 4School of Life Sciences, Northwest University, Xi’an, 5Department of Respiration Emergency, The Third People’s Hospital of Haikou, Haikou, Hainan, People’s Republic of China

*These authors contributed equally to this work

Background: It is known that the contribution of risk alleles to chronic obstructive pulmonary disease (COPD) may vary between populations. Further, previous studies involving various ethnic groups have revealed associations between COPD and genetic polymorphisms in families with sequence similarity 13, member A (FAM13A), micro-RNA 2054 (MIR2054), SET domain containing protein 7 (SETD7), ring finger protein 150 (RNF150), hedgehog interacting protein (HHIP), and vascular endothelial growth factor A (VEGFA). Our objective was to explore the association between these gene polymorphism and COPD in members of Chinese Li minority population.
Materials and methods: The Chinese Li population case–control study was conducted to assess genetic associations with COPD risk. Seven single nucleotide polymorphisms (SNPs) located on chromosome 4, including FAM13A, MIR2054, SETD7, RNF150, and HHIP, and nine SNPs in the VEGFA gene were genotyped among 234 cases and 240 controls using Sequenom Mass-ARRAY® platform. Linkage disequilibrium (LD) analysis was performed using Haploview software and the associations of the SNP frequencies with COPD were analyzed using chi-square (χ2) tests, genetic models analysis, and haplotype analysis.
Results: By χ2 we found the minor allele “G” of rs17050782 was with increased COPD risk in allele model. In genetic models, we found the minor allele of rs7671167 (P=0.028 by dominant model) and rs17050782 (P=0.008 by recessive model) was associated with the increased risk of COPD disease. Likewise, an increased risk of developing COPD was associated with the “GGCGC” haplotype of VEGFA (odds ratio =1.48, 95% confidence interval =1.02–2.12, P=0.037).
Conclusion: Our results were the first time to reveal that SNPs from FAM13A (rs7671167), SETD7 (rs17050782), and a haplotype of VEGFA (“GGCGC”) are potential susceptibility loci associated with increased COPD risk in Chinese Li minority population.

Keywords: chronic obstructive pulmonary disease, case–control study, single nucleotide polymorphism, Chinese Li minority population

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