Endophenotype best practices

International Journal of Psychophysiology

Volumn 111, Issue , 2017, Pages 115-144

  Iacono, William G ^a   Malone, Stephen M ^a   Vrieze, Scott I ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Biomarker; Candidate gene; Data sharing; Endophenotype; Genes; GREML; GWAS; Heritability

Indexed keywords

BIOLOGICAL MARKER;

ANIMAL MODEL; ARTICLE; BRAIN ELECTROPHYSIOLOGY; CONSTRUCT VALIDITY; DATA PROCESSING; EFFECT SIZE; ENDOPHENOTYPE; GENE LOCUS; GENE STRUCTURE; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENETICS; GENOME-WIDE ASSOCIATION STUDY; HEREDITY; HUMAN; MENTAL DISEASE; META ANALYSIS (TOPIC); MOLECULAR GENETICS; NONHUMAN; PHENOTYPE; POWER ANALYSIS; QUANTITATIVE TRAIT; RESEARCH DOMAIN CRITERIA; SAMPLING; ELECTROPHYSIOLOGY; MEDICAL RESEARCH; STANDARDS;

BIOMEDICAL RESEARCH; ELECTROPHYSIOLOGICAL PHENOMENA; ENDOPHENOTYPES; GENOME-WIDE ASSOCIATION STUDY; HUMANS;

EID: 85011343399     PISSN: 01678760     EISSN: 18727697     Source Type: Journal    
DOI: 10.1016/j.ijpsycho.2016.07.516     Document Type: Article

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