Correcting for multiple testing in genetic association studies: the legend lives on
✍ Scribed by Michael Krawczak; Stefan Boehringer; Jörg T. Epplen
- Book ID
- 106133578
- Publisher
- Springer
- Year
- 2001
- Tongue
- English
- Weight
- 17 KB
- Volume
- 109
- Category
- Article
- ISSN
- 0340-6717
No coin nor oath required. For personal study only.
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## Abstract The interpretation of the results of large association studies encompassing much or all of the human genome faces the fundamental statistical problem that a correspondingly large number of single nucleotide polymorphisms markers will be spuriously flagged as significant. A common method
## Abstract Multiple testing is a challenging issue in genetic association studies using large numbers of single nucleotide polymorphism (SNP) markers, many of which exhibit linkage disequilibrium (LD). Failure to adjust for multiple testing appropriately may produce excessive false positives or ov
## Abstract Genetic association studies are a powerful tool to detect genetic variants that predispose to human disease. Once an associated variant is identified, investigators are also interested in estimating the effect of the identified variant on disease risk. Estimates of the genetic effect ba