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

Bioinformatics

Volumn 33, Issue 6, 2017, Pages 886-892

  So, Hon Cheong ^a   Sham, Pak C ^b,c   Valencia, Alfonso ^d  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIPOLAR DISORDER; CORONARY ARTERY DISEASE; GENETIC PREDISPOSITION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMAN; MAJOR DEPRESSION; MULTIFACTORIAL INHERITANCE; NON INSULIN DEPENDENT DIABETES MELLITUS; PROCEDURES; RISK; SCHIZOPHRENIA; SINGLE NUCLEOTIDE POLYMORPHISM;

BIPOLAR DISORDER; CORONARY ARTERY DISEASE; DEPRESSIVE DISORDER, MAJOR; DIABETES MELLITUS, TYPE 2; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MULTIFACTORIAL INHERITANCE; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK; SCHIZOPHRENIA;

EID: 85016902841     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw745     Document Type: Article

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