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Why significant variables aren’t automatically good predictors
Thus far, genome-wide association studies (GWAS) have been disappointing in the inability of investigators to use the results of identified, statistically significant variants in complex diseases to make predictions useful for personalized medicine. Why are significant variables not leading to good...
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| Foilsithe in: | Proc Natl Acad Sci U S A |
|---|---|
| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
National Academy of Sciences
2015
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4653162/ https://ncbi.nlm.nih.gov/pubmed/26504198 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1518285112 |
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