Haplotype analysis of the IGF2-INS-TH gene cluster in Parkinson’s disease.

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Sutherland, Greg
Mellick, George
Newman, Jeremy
Double, Kay L
Stevens, Julia
Lee, Linda
Rowe, Dominic
Silburn, Peter
Halliday, Glenda M
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John C Carey, Ming T Tsuang, Stephen V Faraone

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2008
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Abstract

Idiopathic Parkinson's disease is a common movement disorder characterized by a loss of dopaminergic neurons in the substantia nigra. Its pathogenesis is postulated to involve complex interactions between genetic susceptibility and environmental exposures. The IGF2-INS-TH gene cluster on the telomeric end of human chromosome 11 is a gene rich region expressing several proteins important for dopamine neuron homeostasis. We used a haplotyping approach to determine whether common genetic variation in the IGF2-INS-TH cluster influences the risk of idiopathic Parkinson's disease in a Caucasian case-control group recruited from Brisbane, Australia. Three tagging polymorphisms, the SNPs, rs680 and rs689 and the microsatellite, HUMTH01, were genotyped in 215 cases and 215 age- and gender-matched controls. Eight common haplotypes accounted for 91% of the genetic variation in our control group and one haplotype, IGF2-INS-TH*6, was significantly under-represented among the cases with idiopathic Parkinson's disease (OR = 0.42, 95% CI = 0.25-0.72, P-value = 0.001). Analysis of the individual polymorphisms showed that the IGF2-rs680 alternate 'A' allele accounted for the majority of the protective effect. Our findings suggest that common genetic variants in the IGF2-INS-TH cluster modify susceptibility to idiopathic Parkinson's disease.

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Am J Med Genet B Neuropsychiatr Genet.

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147B

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4

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© 2008 Wiley-Liss, Inc. This is the pre-peer reviewed version of the following article: Haplotype analysis of the IGF2-INS-TH gene cluster in Parkinson's disease, American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Volume 147B, Issue 4, pages 495–499, 5 June 2008, which has been published in final form at http://dx.doi.org/10.1002/ajmg.b.30633

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Genetics

Clinical sciences

Neurosciences

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