GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes

American Journal of Human Genetics

Volumn 99, Issue 4, 2016, Pages 917-927

  Nieuwboer, Harold A ^a   Pool, René ^a   Dolan, Conor V ^a   Boomsma, Dorret I ^a   Nivard, Michel G ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ACADEMIC ACHIEVEMENT; ARTICLE; BIPOLAR DISORDER; BODY HEIGHT; BODY MASS; CALCULATION; CONTROLLED STUDY; FEMALE; GENE FREQUENCY; GENETIC PROCEDURES; GENOME-WIDE ASSOCIATION STUDY; GENOME-WIDE INFERRED STUDY; HUMAN; INTERMETHOD COMPARISON; MALE; MEASUREMENT ACCURACY; NORMAL DISTRIBUTION; PHENOTYPE; PRIORITY JOURNAL; SCHIZOPHRENIA; SCORING SYSTEM; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; BODY WEIGHT; EDUCATIONAL STATUS; GENE LINKAGE DISEQUILIBRIUM; GENETICS; MENARCHE; META ANALYSIS (TOPIC); METHODOLOGY; MULTIFACTORIAL INHERITANCE; PROCEDURES;

BIPOLAR DISORDER; BODY HEIGHT; BODY MASS INDEX; BODY WEIGHT; EDUCATIONAL STATUS; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; MALE; MENARCHE; META-ANALYSIS AS TOPIC; MULTIFACTORIAL INHERITANCE; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; RESEARCH DESIGN; SCHIZOPHRENIA;

EID: 84991691541     PISSN: 00029297     EISSN: 15376605     Source Type: Journal    
DOI: 10.1016/j.ajhg.2016.07.020     Document Type: Article

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