Boosting the power of schizophrenia genetics by leveraging new statistical tools

Schizophrenia Bulletin

Volumn 40, Issue 1, 2014, Pages 13-17

  Andreassen, Ole A ^a,b   Thompson, Wesley K ^c   Dale, Anders M ^c,d,e,f  

^a UNIVERSITY OF OSLO   (Norway)

^b OSLO UNIVERSITY HOSPITAL   (Norway)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

empirical Bayes approach; GWAS; molecular genetics; pleiotropy; polygenicity

Indexed keywords

ARTICLE; BIPOLAR DISORDER; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CONTROLLED STUDY; GENE LOCUS; GENETIC ASSOCIATION; GENETIC VARIABILITY; HUMAN; MAJOR HISTOCOMPATIBILITY COMPLEX; MULTIPLE SCLEROSIS; PATHOGENESIS; PHENOTYPE; PLEIOTROPY; PRIORITY JOURNAL; SCHIZOPHRENIA; SINGLE NUCLEOTIDE POLYMORPHISM;

EMPIRICAL BAYES APPROACH; GWAS; MOLECULAR GENETICS; PLEIOTROPY; POLYGENICITY;

BAYES THEOREM; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, PSYCHOLOGICAL; MODELS, STATISTICAL; MOLECULAR BIOLOGY; SCHIZOPHRENIA;

EID: 84892659999     PISSN: 05867614     EISSN: 17451701     Source Type: Journal    
DOI: 10.1093/schbul/sbt168     Document Type: Article

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