## Abstract Genomeβwide association (GWA) studies require genotyping hundreds of thousands of markers on thousands of subjects, and are expensive at current genotyping costs. To conserve resources, many GWA studies are adopting a staged design in which a proportion of the available samples are geno
β¦ LIBER β¦
Family-based designs for genome-wide association studies
β Scribed by Ott, Jurg; Kamatani, Yoichiro; Lathrop, Mark
- Book ID
- 109953385
- Publisher
- Nature Publishing Group
- Year
- 2011
- Tongue
- English
- Weight
- 546 KB
- Volume
- 12
- Category
- Article
- ISSN
- 1471-0056
- DOI
- 10.1038/nrg2989
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Optimal designs for two-stage genome-wid
β
Andrew D. Skol; Laura J. Scott; GonΓ§alo R. Abecasis; Michael Boehnke
π
Article
π
2007
π
John Wiley and Sons
π
English
β 316 KB
π 2 views
Optimal Robust Two-Stage Designs for Gen
β
Thuy Trang Nguyen; Roman Pahl; Helmut SchΓ€fer
π
Article
π
2009
π
John Wiley and Sons
π
English
β 439 KB
A data-driven weighting scheme for famil
β
Qin, Huaizhen; Feng, Tao; Zhang, Shuanglin; Sha, Qiuying
π
Article
π
2009
π
Nature Publishing Group
π
English
β 529 KB
Two-stage association tests for genome-w
β
Feng, Tao; Zhang, Shuanglin; Sha, Qiuying
π
Article
π
2007
π
Nature Publishing Group
π
English
β 163 KB
Genome-wide association studies for disc
β
Duncan C. Thomas
π
Article
π
2009
π
John Wiley and Sons
π
English
β 91 KB
π 2 views
## Abstract Genomeβwide association studies of discrete traits generally use simple methods of analysis based on Ο^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
Microsatellite markers for genome-wide a
β
Bahram, Seiamak; Inoko, Hidetoshi
π
Article
π
2007
π
Nature Publishing Group
π
English
β 155 KB