Mixed modelling to characterize genotype-phenotype associations

Statistics in Medicine

Volumn 24, Issue 5, 2005, Pages 775-789

  Foulkes, Andrea S ^a   Reilly, M ^b   Zhou, L ^b   Wolfe, M ^b   Rader, D J ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Cardiovascular disease; High order interactions; Mixed models; Multi locus genotype; Phenotype

Indexed keywords

LIPOPROTEIN LIPASE; LIVER TRIACYLGLYCEROL LIPASE;

ADULT; AGE; AGED; ARTICLE; BODY MASS; CARDIOVASCULAR DISEASE; COHORT ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DISEASE COURSE; ENVIRONMENTAL FACTOR; ENZYME LINKED IMMUNOSORBENT ASSAY; EXERCISE; FEMALE; GENE INTERACTION; GENE LOCUS; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC POLYMORPHISM; GENETIC VARIABILITY; GENOTYPE ENVIRONMENT INTERACTION; GENOTYPE PHENOTYPE CORRELATION; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MULTIGENE FAMILY; OBESITY; OUTCOMES RESEARCH; POLYMERASE CHAIN REACTION; PREDICTION; RISK ASSESSMENT; RISK FACTOR; SEX DIFFERENCE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL; SYSTOLIC BLOOD PRESSURE;

ADULT; AGED; CORONARY ARTERIOSCLEROSIS; FEMALE; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; LIPASE; MALE; MIDDLE AGED; MODELS, GENETIC; MODELS, STATISTICAL; OBESITY; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 14544300964     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1965     Document Type: Article

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