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A computational framework for predicting obesity risk based on optimizing and integrating genetic risk score and gene expression profiles
Recent large-scale genome-wide association studies have identified tens of genetic loci robustly associated with Body Mass Index (BMI). Gene expression profiles were also found to be associated with BMI. However, accurate prediction of obesity risk utilizing genetic data remains challenging. In a co...
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| Publicado en: | PLoS One |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5993110/ https://ncbi.nlm.nih.gov/pubmed/29795655 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0197843 |
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