Marker selection for genetic case-control association studies

被引:33
|
作者
Pettersson, Fredrik H. [1 ]
Anderson, Carl A. [1 ]
Clarke, Geraldine M. [1 ]
Barrett, Jeffrey C. [1 ]
Cardon, Lon R. [1 ]
Morris, Andrew P. [1 ]
Zondervan, Krina T. [1 ]
机构
[1] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England
基金
英国惠康基金;
关键词
GENOME-WIDE ASSOCIATION; IDENTIFICATION; IMPUTATION; COVERAGE;
D O I
10.1038/nprot.2009.38
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:743 / 752
页数:10
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