Literature DB >> 22243833

A DNA resequencing array for genes involved in Parkinson's disease.

E J Wilkins1, J P Rubio, K E Kotschet, T F Cowie, W C Boon, M O'Hely, R Burfoot, W Wang, C M Sue, T P Speed, J Stankovitch, M K Horne.   

Abstract

Parkinson's disease (PD) is aetiologically complex with both familial and sporadic forms. Familial PD results from rare, highly penetrant pathogenic mutations whereas multiple variants of low penetrance may contribute to the risk of sporadic PD. Common variants implicated in PD risk appear to explain only a minor proportion of the familial clustering observed in sporadic PD. It is therefore plausible that combinations of rare and/or common variants in genes already implicated in disease pathogenesis may help to explain the genetic basis of PD. We have developed a CustomSeq Affymetrix resequencing array to enable high-throughput sequencing of 13 genes (44 kb) implicated in the pathogenesis of PD. Using the array we sequenced 269 individuals, including 186 PD patients and 75 controls, achieving an overall call rate of 96.5% and 93.6%, for two respective versions of the array, and >99.9% accuracy for five samples sequenced by capillary sequencing in parallel. We identified modest associations with common variants in SNCA and LRRK2 and a trend suggestive of an overrepresentation of rare variants in cases compared to controls for several genes. We propose that this technology offers a robust and cost-effective alternative to targeted sequencing using traditional sequencing methods, and here we demonstrate the potential of this approach for either routine clinical investigation or for research studies aimed at understanding the genetic aetiology of PD. Crown
Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22243833     DOI: 10.1016/j.parkreldis.2011.12.012

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  2 in total

1.  SRMA: an R package for resequencing array data analysis.

Authors:  Nianxiang Zhang; Yan Xu; Martin O'Hely; Terence P Speed; Curt Scharfe; Wenyi Wang
Journal:  Bioinformatics       Date:  2012-05-10       Impact factor: 6.937

2.  Development of a high-throughput resequencing array for the detection of pathogenic mutations in osteogenesis imperfecta.

Authors:  Yao Wang; Yazhou Cui; Xiaoyan Zhou; Jinxiang Han
Journal:  PLoS One       Date:  2015-03-05       Impact factor: 3.240

  2 in total

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