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Computational evaluation of exome sequence data using human and model organism phenotypes improves diagnostic efficiency
PURPOSE: Medical diagnosis and molecular or biochemical confirmation typically rely on the knowledge of the clinician. Although this is very difficult in extremely rare diseases, we hypothesized that the recording of patient phenotypes in Human Phenotype Ontology (HPO) terms and computationally rank...
Autores principales: | Bone, William P., Washington, Nicole L., Buske, Orion J., Adams, David R., Davis, Joie, Draper, David, Flynn, Elise D., Girdea, Marta, Godfrey, Rena, Golas, Gretchen, Groden, Catherine, Jacobsen, Julius, Köhler, Sebastian, Lee, Elizabeth M. J., Links, Amanda E., Markello, Thomas C., Mungall, Christopher J., Nehrebecky, Michele, Robinson, Peter N., Sincan, Murat, Soldatos, Ariane G., Tifft, Cynthia J., Toro, Camilo, Trang, Heather, Valkanas, Elise, Vasilevsky, Nicole, Wahl, Colleen, Wolfe, Lynne A., Boerkoel, Cornelius F., Brudno, Michael, Haendel, Melissa A., Gahl, William A., Smedley, Damian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916229/ https://www.ncbi.nlm.nih.gov/pubmed/26562225 http://dx.doi.org/10.1038/gim.2015.137 |
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