Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits | Zendy

HonCheong So | Zendy; Pak C. Sham | Zendy

Open Access

Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits

Author(s) -

HonCheong So,

Pak C. Sham

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw745

Subject(s) - genome wide association study , predictive power , schizophrenia (object oriented programming) , false positive paradox , disease , major depressive disorder , genetic association , predictive value , medicine , clinical psychology , biology , psychiatry , statistics , single nucleotide polymorphism , genetics , mathematics , philosophy , epistemology , mood , gene , genotype

It is hoped that advances in our knowledge in disease genomics will contribute to personalized medicine such as individualized preventive strategies or early diagnoses of diseases. With the growth of genome-wide association studies (GWAS) in the past decade, how far have we reached this goal? In this study we explored the predictive ability of polygenic risk scores (PRSs) derived from GWAS for a range of complex disease and traits.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research