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Volumn 33, Issue 14, 2017, Pages i379-i388

Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER DISEASE; GENETICS; GENOME-WIDE ASSOCIATION STUDY; HUMAN; META ANALYSIS (TOPIC); PARKINSON DISEASE; PROCEDURES; SOFTWARE; STATISTICAL MODEL;

EID: 85024477585     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btx242     Document Type: Conference Paper
Times cited : (39)

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