Transferability of tag SNPs in genetic association studies in multiple populations
✍ Scribed by de Bakker, Paul I W; Burtt, Noël P; Graham, Robert R; Guiducci, Candace; Yelensky, Roman; Drake, Jared A; Bersaglieri, Todd; Penney, Kathryn L; Butler, Johannah; Young, Stanton
- Book ID
- 109919447
- Publisher
- Nature Publishing Group
- Year
- 2006
- Tongue
- English
- Weight
- 218 KB
- Volume
- 38
- Category
- Article
- ISSN
- 1061-4036
- DOI
- 10.1038/ng1899
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract For a dense set of genetic markers such as single nucleotide polymorphisms (SNPs) on high linkage disequilibrium within a small candidate region, a haplotype‐based approach for testing association between a disease phenotype and the set of markers is attractive in reducing the data comp
## Abstract Nonparametric approaches have been developed that are able to analyze large numbers of single nucleotide polymorphisms (SNPs) in modest sample sizes. These approaches have different selection features and may not provide similar results when applied to the same dataset. Therefore, we co
## Abstract Meta‐analysis has become a key component of well‐designed genetic association studies due to the boost in statistical power achieved by combining results across multiple samples of individuals and the need to validate observed associations in independent studies. Meta‐analyses of geneti
## Abstract Neighboring common polymorphisms are often correlated (in linkage disequilibrium (LD)) as a result of shared ancestry. An association between a polymorphism and a disease trait may therefore be the indirect result of a correlated functional variant, and identifying the true causal varia