PRSice: Polygenic Risk Score software-Reference-Cited by-同舟云学术

PRSice: Polygenic Risk Score software

Published:2014-12-29 Issue:9 Volume:31 Page:1466-1468
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Euesden Jack,Lewis Cathryn M.,O’Reilly Paul F.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/31/9/1466/17085880/btu848.pdf

Reference11 articles.

1. A population genetic signal of polygenic adaptation;Berg;PLoS Genet.,2014

2. Second-generation PLINK: rising to the challenge of larger and richer datasets;Chang;ArXiv e-prints,2014

3. Power and predictive accuracy of polygenic risk scores;Dudbridge;PLoS Genet.,2013

4. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk;Ehret;Nature,2011

5. The benefits of using genetic information to design prevention trials;Hu;Am. J. Hum. Genet.,2013

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