Genomic convergence: identifying candidate genes for Parkinson's disease by combining serial analysis of gene expression and genetic linkage.

Journal Article

We present a multifactorial, multistep approach called genomic convergence that combines gene expression with genomic linkage analysis to identify and prioritize candidate susceptibility genes for Parkinson's disease (PD). To initiate this process, we used serial analysis of gene expression (SAGE) to identify genes expressed in two normal substantia nigras (SN) and adjacent midbrain tissue. This identified over 3700 transcripts, including the three most abundant SAGE tags, which did not correspond to any known genes or ESTs. We developed high-throughput bioinformatics methods to map the genes corresponding to these tags and identified 402 SN genes that lay within five large genomic linkage regions, previously identified in 174 multiplex PD families. These genes represent excellent candidates for PD susceptibility alleles and further genomic convergence and analyses.

Full Text

Duke Authors

Cited Authors

  • Hauser, MA; Li, Y-J; Takeuchi, S; Walters, R; Noureddine, M; Maready, M; Darden, T; Hulette, C; Martin, E; Hauser, E; Xu, H; Schmechel, D; Stenger, JE; Dietrich, F; Vance, J

Published Date

  • March 15, 2003

Published In

Volume / Issue

  • 12 / 6

Start / End Page

  • 671 - 677

PubMed ID

  • 12620972

International Standard Serial Number (ISSN)

  • 0964-6906

Language

  • eng

Conference Location

  • England