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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...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2010
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2893603/ https://ncbi.nlm.nih.gov/pubmed/20509871 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-288 |
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