## Abstract Genomeβwide association studies have recently identified many new loci associated with human complex diseases. These newly discovered variants typically have weak effects requiring studies with large numbers of individuals to achieve the statistical power necessary to identify them. Lik
ProbABEL package for genome-wide association analysis of imputed data
β Scribed by Yurii S Aulchenko; Maksim V Struchalin; Cornelia M van Duijn
- Book ID
- 114999111
- Publisher
- BioMed Central
- Year
- 2010
- Tongue
- English
- Weight
- 302 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1471-2105
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In genome-wide association studies (GWAS), it is a common practice to impute the genotypes of untyped single nucleotide polymorphism (SNP) by exploiting the linkage disequilibrium structure among SNPs. The use of imputed genotypes improves genome coverage and makes it possible to perform meta-analys
## Communicated by Pui-Yan Kwok Genome-wide association analysis appears to be a promising way to identify heritable susceptibility factors for complex human disorders. However, the feasibility of large-scale genotyping experiments is currently limited by an incomplete marker coverage of the genom