Estimating Effect Sizes in Genome-Wide Association Studies
✍ Scribed by József Bukszár; Edwin J. C. G. van den Oord
- Publisher
- Springer US
- Year
- 2010
- Tongue
- English
- Weight
- 333 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0001-8244
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Recently, genome-wide association studies have substantially expanded our knowledge about genetic variants that influence the susceptibility to complex diseases. Although standard statistical tests for each single-nucleotide polymorphism (SNP) separately are able to capture main genetic effects, dif
Genome wide association studies (GWAS) have revealed many fascinating insights into complex diseases even from simple, single-marker statistical tests. Most of these tests are designed for testing of associations between a phenotype and an autosomal genotype and are therefore not applicable to X chr
## 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 Over the last few years, many new genetic associations have been identified by genome‐wide association studies (GWAS). There are potentially many uses of these identified variants: a better understanding of disease etiology, personalized medicine, new leads for studying underlying biolo