Participant identification in genetic association studies: Improved methods and practical implications

International Journal of Epidemiology

Volumn 40, Issue 6, 2011, Pages 1629-1642

  Masca, Nicholas ^a   Burton, Paul R ^a   Sheehan, Nuala A ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Case control genetic association studies; Generalized estimating equations; Identification; Linear regression; Linkage disequilibrium

Indexed keywords

GENOMICS; GENOTYPE; GUIDELINE; PARTICIPATORY APPROACH; PERFORMANCE ASSESSMENT; POLYMORPHISM; REGRESSION ANALYSIS; THEORETICAL STUDY;

ARTICLE; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC IDENTIFICATION; GENOTYPE; HUMAN; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM;

COHORT STUDIES; ETHICS, RESEARCH; GENETIC ASSOCIATION STUDIES; GENETIC PRIVACY; GENOTYPE; HUMAN EXPERIMENTATION; HUMANS; LINEAR MODELS; POLYMORPHISM, SINGLE NUCLEOTIDE; RESEARCH DESIGN;

EID: 83455205957     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyr149     Document Type: Article

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