Cargando…
Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects
Combining genome-wide association studies (GWAS) data with clinical information from the electronic medical record (EMR) provide unprecedented opportunities to identify genetic variants that influence susceptibility to common, complex diseases. While mining the vastness of EMR greatly expands the po...
Autores principales: | Pathak, Jyotishman, Pan, Helen, Wang, Janey, Kashyap, Sudha, Schad, Peter A., Hamilton, Carol M., Masys, Daniel R., Chute, Christopher G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3248754/ https://www.ncbi.nlm.nih.gov/pubmed/22211178 |
Ejemplares similares
-
PhenX RISING: real world implementation and sharing of PhenX measures
por: McCarty, Catherine A, et al.
Publicado: (2014) -
PhenX Measures for Phenotyping Rare Genetic Conditions
por: Phillips, Michael, et al.
Publicado: (2017) -
The PhenX Toolkit: Establishing Standard Measures for COVID‐19 Research
por: Krzyzanowski, Michelle C., et al.
Publicado: (2021) -
The PhenX Toolkit: Get the Most From Your Measures
por: Hamilton, Carol M., et al.
Publicado: (2011) -
Validation of PhenX measures in the personalized medicine research project for use in gene/environment studies
por: McCarty, Catherine A, et al.
Publicado: (2014)