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GWAMA: software for genome-wide association meta-analysis
BACKGROUND: Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in these phenotypes remains unexplained. One way to improving power to det...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2893603/ https://www.ncbi.nlm.nih.gov/pubmed/20509871 http://dx.doi.org/10.1186/1471-2105-11-288 |