Genome-Wide Association Mapping With Longitudinal Data

Genetic Epidemiology

Volumn 36, Issue 5, 2012, Pages 463-471

  Furlotte, Nicholas A ^a   Eskin, Eleazar ^a,b   Eyheramendy, Susana ^c  

^a Department of Civil and Environmental Engineering   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

Author keywords

Genome wide association; Longitudinal; Mixed model; Statistical genetics

Indexed keywords

ACCURACY; ARTICLE; COMPUTER PROGRAM; ENVIRONMENTAL FACTOR; GENE MAPPING; GENETIC ASSOCIATION; HEREDITY; INTERMETHOD COMPARISON; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; PHENOTYPE; PREDICTION; STATISTICAL MODEL;

ALGORITHMS; CHROMOSOME MAPPING; COHORT STUDIES; COMPUTER SIMULATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84862258463     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21640     Document Type: Article

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