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GPA: A Statistical Approach to Prioritizing GWAS Results by Integrating Pleiotropy and Annotation
Results from Genome-Wide Association Studies (GWAS) have shown that complex diseases are often affected by many genetic variants with small or moderate effects. Identifications of these risk variants remain a very challenging problem. There is a need to develop more powerful statistical methods to l...
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| Publicado no: | PLoS Genet |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4230845/ https://ncbi.nlm.nih.gov/pubmed/25393678 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1004787 |
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