| Literature DB >> 19390530 |
Fredrik H Pettersson1, Carl A Anderson, Geraldine M Clarke, Jeffrey C Barrett, Lon R Cardon, Andrew P Morris, Krina T Zondervan.
Abstract
Association studies can focus on candidate gene(s), a particular genomic region, or adopt a genome-wide association approach, each of which has implications for marker selection. The strategy for marker selection will affect the statistical power of the study to detect a disease association and is a crucial element of study design. The abundant single nucleotide polymorphisms (SNPs) are the markers of choice in genetic case-control association studies. The genotypes of neighboring SNPs are often highly correlated ('in linkage disequilibrium', LD) within a population, which is utilized for selecting specific 'tagSNPs' to serve as proxies for other nearby SNPs in high LD. General guidelines for SNP selection in candidate genes/regions and genome-wide studies are provided in this protocol, along with illustrative examples. Publicly available web-based resources are utilized to browse and retrieve data, and software, such as Haploview and Goldsurfer2, is applied to investigate LD and to select tagSNPs.Entities:
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Year: 2009 PMID: 19390530 PMCID: PMC3025519 DOI: 10.1038/nprot.2009.38
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491