Genome-wide association studies for complex traits: consensus, uncertainty and challenges
✍ Scribed by McCarthy, Mark I.; Abecasis, Gonçalo R.; Cardon, Lon R.; Goldstein, David B.; Little, Julian; Ioannidis, John P. A.; Hirschhorn, Joel N.
- Book ID
- 109952757
- Publisher
- Nature Publishing Group
- Year
- 2008
- Tongue
- English
- Weight
- 824 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1471-0056
- DOI
- 10.1038/nrg2344
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## Abstract Genome‐wide association studies of discrete traits generally use simple methods of analysis based on χ^2^ tests for contingency tables or logistic regression, at least for an initial scan of the entire genome. Nevertheless, more power might be obtained by using various methods that anal
## Abstract The availability of affordable high throughput technology for parallel genotyping has opened the field of genetics to genome‐wide association studies (GWAS), and in the last few years hundreds of articles reporting results of GWAS for a variety of heritable traits have been published. W
## Abstract Genome‐wide association studies (GWAS) have been widely used to identify genetic effects on complex diseases or traits. Most currently used methods are based on separate single‐nucleotide polymorphism (SNP) analyses. Because this approach requires correction for multiple testing to avoi