METAINTER: meta-analysis of multiple regression models in genome-wide association studies
β Scribed by Vaitsiakhovich, T.; Drichel, D.; Herold, C.; Lacour, A.; Becker, T.
- Book ID
- 126625712
- Publisher
- Oxford University Press
- Year
- 2014
- Tongue
- English
- Weight
- 207 KB
- Volume
- 31
- Category
- Article
- ISSN
- 1367-4803
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## Abstract Genomeβwide association studies have recently identified many new loci associated with human complex diseases. These newly discovered variants typically have weak effects requiring studies with large numbers of individuals to achieve the statistical power necessary to identify them. Lik
Despite the success of genome-wide association studies, much of the genetic contribution to complex human traits is still unexplained. One potential source of genetic variation that may contribute to this βmissing heritabilityβ is that which differs in magnitude and/or direction between males and fe