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GWAS Meets TCGA to Illuminate Mechanisms of Cancer Predisposition
Genome-wide association studies (GWASs) have unraveled a large number of cancer risk alleles. Understanding how these allelic variants predispose to disease is a major bottleneck confronting translational application. In this issue, Li and colleagues combine GWASs with The Cancer Genome Atlas (TCGA)...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3813952/ https://ncbi.nlm.nih.gov/pubmed/23374335 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cell.2013.01.027 |
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