Cargando…
A Unifying Framework for Evaluating the Predictive Power of Genetic Variants Based on the Level of Heritability Explained
An increasing number of genetic variants have been identified for many complex diseases. However, it is controversial whether risk prediction based on genomic profiles will be useful clinically. Appropriate statistical measures to evaluate the performance of genetic risk prediction models are requir...
Autores principales: | So, Hon-Cheong, Sham, Pak C. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2996330/ https://www.ncbi.nlm.nih.gov/pubmed/21151957 http://dx.doi.org/10.1371/journal.pgen.1001230 |
Ejemplares similares
-
Robust Association Tests Under Different Genetic Models, Allowing for Binary or Quantitative Traits and Covariates
por: So, Hon-Cheong, et al.
Publicado: (2011) -
Improving polygenic risk prediction from summary statistics by an empirical Bayes approach
por: So, Hon-Cheong, et al.
Publicado: (2017) -
Estimating the Total Number of Susceptibility Variants Underlying Complex Diseases from Genome-Wide Association Studies
por: So, Hon-Cheong, et al.
Publicado: (2010) -
A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer
por: Mucaki, Eliseos J., et al.
Publicado: (2016) -
The genetic basis of onset age in schizophrenia: evidence and models
por: Zhan, Na, et al.
Publicado: (2023)