Improved methods to identify stable, highly heritable subtypes of opioid use and related behaviors

Addictive Behaviors

Volumn 37, Issue 10, 2012, Pages 1138-1144

  Sun, Jiangwen ^a   Bi, Jinbo ^a   Chan, Grace ^b   Oslin, David ^c   Farrer, Lindsay ^d   Gelernter, Joel ^e   Kranzler, Henry R ^c  

^a University of Connecticut   (United States)

^b UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d BOSTON UNIVERSITY   (United States)

^e YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Heritability; Hierarchical clustering; K medoids clustering; Opioid dependence; Phenotype; Subtypes

Indexed keywords

OPIATE;

ADULT; ARTICLE; CLINICAL FEATURE; CLUSTER ANALYSIS; COMORBIDITY; CONTROLLED STUDY; DATA ANALYSIS; FEMALE; GENETIC ANALYSIS; HERITABILITY; HUMAN; MAJOR CLINICAL STUDY; MALE; OPIATE ADDICTION; PREVALENCE; PROCEDURES; SUBSTANCE ABUSE;

ADULT; BEHAVIOR, ADDICTIVE; CASE-CONTROL STUDIES; DATA MINING; FEMALE; GENETIC LINKAGE; HUMANS; MALE; MIDDLE AGED; OPIOID-RELATED DISORDERS; PHENOTYPE;

EID: 84863220072     PISSN: 03064603     EISSN: 18736327     Source Type: Journal    
DOI: 10.1016/j.addbeh.2012.05.010     Document Type: Article

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