Association of GWAS loci with PD in China

Chang, Xue-Li; Mao, Xue-Ye; Li, Hui-Hua; Zhang, Jin-Hong; Li, Nan-Nan; Burgunder, Jean-Marc; Peng, Rong; Tan, Eng-King (2011). Association of GWAS loci with PD in China. American journal of medical genetics. Part B - Neuropsychiatric genetics, 156B(3), pp. 334-9. Hoboken, N.J.: Wiley-Liss 10.1002/ajmg.b.31167

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Genome-wide association studies (GWAS) have identified numerous single-nucleotide polymorphisms (SNPs) at four loci (SNCA, PARK16, LRRK2, BST1) that can modulate the risk of Parkinson's disease (PD). The strength of these associations has yet to be clarified in Mainland China. Ethnic specific effect is an important consideration in GWAS analysis. Using a case-control methodology, we genotyped multiple SNPs at these four loci to investigate their association with risk of PD in Mainland China. A total of 1,146 study subjects comprising 636 patients with PD and 510 unrelated healthy controls were recruited. The minor alleles at SNPs rs894278, rs1994090, rs2046932, rs4698412, and rs7304279 were found to be significantly higher in cases than in controls, while the minor alleles were found to significantly reduce the risk of developing PD at SNPs rs823128, rs823156, rs6532194, rs1191532, and rs16856139. These associations remained after taking into considerations the effects of age and gender. We showed that multiple SNPs at LRRK2 and SNCA increase risk of PD, while PARK16 SNPs are associated with a lower risk of PD in China. Our study findings will contribute to further research using GWAS-linked data and research on ethnic specific effect of common variants.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Burgunder, Jean-Marc

ISSN:

1552-4841

Publisher:

Wiley-Liss

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:14

Last Modified:

17 Mar 2015 19:17

Publisher DOI:

10.1002/ajmg.b.31167

PubMed ID:

21268244

Web of Science ID:

000288332600010

URI:

https://boris.unibe.ch/id/eprint/3346 (FactScience: 207006)

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