The personal and clinical utility of polygenic risk scores
By Ali Torkamani, N. Wineinger, Eric J. Topol. 2018
1,417 citations recorded by the source corpus.
Subfields: Genetics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Naomi R. Wray
- Peter M. Visscher
- Michael E. Goddard
- Jian Yang
- Zhili Zheng
- George Davey Smith
- Kathryn E. Kemper
- Frank Dudbridge
Citations in the corpus
- DNA methylation aging clocks: challenges and recommendations (2019, background): “lated risk for specific common diseases with genome-wide polygenic risk scores (PRSs) [116] with potential clinical utility [117].”
- Improved polygenic prediction by Bayesian multiple regression on summary statistics (2019, methodology): “(5) In this paper we implement the BayesR model28,31, which assumes that 172”
- Artificial intelligence in clinical and genomic diagnostics (2019, background): “Relatively simple statistical approaches to polygenic risk prediction allow for personally and clinically useful stratification of risk for some common complex diseases [77].”
- Polygenic prediction of weight and obesity trajectories from birth to adulthood (2019, positive): “The ability to quantify inborn susceptibility using GPSs is likely to be generalizable across a broad range of complex diseases, contingent upon availability of a large discovery GWAS, independent validation and testing datasets, and the heritability of a given disease explained by common variants (”