Abstract
Genome-wide association studies (GWAS) have become increasingly widely used to determine regions of the genome which may contain loci influencing the risk of neurological disorders. While linkage studies have identified genes that cause a number of Mendelian disorders, linkage analysis is less well suited for the more common complex disorders. This has led to the widespread use of GWAS for that purpose. Here we present and discuss several of the major extant GWAS in neurological disorders, their limitations, and implications of findings to date.
Current Molecular Medicine
Title: Mining the Genome for Susceptibility to Complex Neurological Disorders
Volume: 9 Issue: 7
Author(s): A. K. Gubitz and K. Gwinn
Affiliation:
Abstract: Genome-wide association studies (GWAS) have become increasingly widely used to determine regions of the genome which may contain loci influencing the risk of neurological disorders. While linkage studies have identified genes that cause a number of Mendelian disorders, linkage analysis is less well suited for the more common complex disorders. This has led to the widespread use of GWAS for that purpose. Here we present and discuss several of the major extant GWAS in neurological disorders, their limitations, and implications of findings to date.
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Cite this article as:
Gubitz K. A. and Gwinn K., Mining the Genome for Susceptibility to Complex Neurological Disorders, Current Molecular Medicine 2009; 9 (7) . https://dx.doi.org/10.2174/156652409789105534
DOI https://dx.doi.org/10.2174/156652409789105534 |
Print ISSN 1566-5240 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5666 |
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