Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: With application to major depressive disorder

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Wang, Xingbin ^a   Lin, Yan ^a   Song, Chi ^a   Sibille, Etienne ^b   Tseng, George C ^a,b,c  

^a UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

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

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL INTERPRETATION; COMPLEX DISEASE; HETEROGENEOUS DISEASE; MAJOR DEPRESSIVE DISORDER (MDD); META-ANALYSIS; RANDOM EFFECTS; STATISTICAL FRAMEWORK; VARIABLE SELECTION;

GENES;

BIOMARKERS;

BIOLOGICAL MARKER;

ARTICLE; CASE CONTROL STUDY; COMPUTER SIMULATION; EPIDEMIOLOGY; GENETICS; GENOMICS; HUMAN; MAJOR DEPRESSION; META ANALYSIS (TOPIC); SAMPLE SIZE;

BIOLOGICAL MARKERS; CASE-CONTROL STUDIES; COMPUTER SIMULATION; CONFOUNDING FACTORS (EPIDEMIOLOGY); DEPRESSIVE DISORDER, MAJOR; GENOMICS; HUMANS; META-ANALYSIS AS TOPIC; SAMPLE SIZE;

EID: 84858990934     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-52     Document Type: Article

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