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Marker selection for genetic case-control association studies.


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.

SUBMITTER: Pettersson FH 

PROVIDER: S-EPMC3025519 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature

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Marker selection for genetic case-control association studies.

Pettersson Fredrik H FH   Anderson Carl A CA   Clarke Geraldine M GM   Barrett Jeffrey C JC   Cardon Lon R LR   Morris Andrew P AP   Zondervan Krina T KT  

Nature protocols 20090423 5


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  ...[more]

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