PARK16 is associated with PD in the Malaysian population

Gopalai AA 1 , Ahmad-Annuar A 1 , Li HH 2 , Zhao Y 3 , Lim SY 4 , Tan AH 4 Show all authors , Lim TT 5 , Eow GB 6 , Santhi P 7 , Shanthi V 7 , Norlinah MI 8 , Aziz ZA 9 , Lim SK 4 , Tan CT 4 , Tan EK 10

Affiliations 

  • 1 Faculty of Medicine, Department of Biomedical Science, University of Malaya, Kuala Lumpur, Malaysia
  • 2 Health Services Research, Singapore General Hospital, Singapore, Singapore
  • 3 Department of Clinical Research, Singapore General Hospital, Singapore, Singapore
  • 4 Faculty of Medicine, Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • 5 Island Hospital, Pulau Pinang, George Town, Malaysia
  • 6 Department of Neurology, Hospital Pulau Pinang, Penang, Malaysia
  • 7 Department of Neurology, Hospital Kuala Lumpur, Kuala Lumpur, Malaysia
  • 8 Hospital University Kebangsaan Malaysia, Kuala Lumpur, Malaysia
  • 9 Department of Medicine, Hospital Sultanah Nur Zahirah, Kuala Terengganu, Malaysia
  • 10 Department of Neurology, Singapore General Hospital, Singapore, Singapore
Am J Med Genet B Neuropsychiatr Genet, 2016 09;171(6):839-47.
PMID: 27174169 DOI: 10.1002/ajmg.b.32454

Abstract

PARK16 was identified as a risk factor for Parkinson's disease in a Japanese cohort; however, subsequent studies in the other populations including the Chinese, European, Caucasian, and Chilean have shown a protective role instead. To investigate this locus in our Malaysian cohort, 1,144 individuals were screened for five SNPs in the PARK16 locus and logistic regression analysis showed that the A allele of the rs947211 SNP reduced the risk of developing PD via a recessive model (Odds ratio 0.57, P-value 0.0003). Pooled analysis with other Asian studies showed that A allele of the rs947211 SNP decreased the risk of developing PD via a recessive model (Odds ratio 0.71, P-value 0.0001). In addition, when meta-analysis was performed with other Asian population, three SNPs (rs823128, rs823156, and rs11240572) reduced risk of developing PD via a dominant model. © 2016 Wiley Periodicals, Inc.

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