Modeling and testing for joint association using a genetic random field model

Biometrics

Volumn 70, Issue 3, 2014, Pages 471-479

  He, Zihuai ^a   Zhang, Min ^a   Zhan, Xiaowei ^a   Lu, Qing ^b  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Complex interaction; Genetic association; Linkage disequilibrium; Multi marker test; Pseudo likelihood; Random field

Indexed keywords

GENES; STATISTICAL TESTS;

COMPLEX DISEASE; COMPLEX INTERACTION; GENETIC ASSOCIATION; GENETIC VARIANTS; LINKAGE DISEQUILIBRIUM; MULTI-MARKER TEST; PERFORMANCE; PSEUDO-LIKELIHOOD; RANDOM FIELD MODEL; RANDOM FIELDS;

ASSOCIATION REACTIONS;

GENETIC MARKER;

BAYES THEOREM; BIOLOGICAL MODEL; CARDIOVASCULAR DISEASES; COMPUTER SIMULATION; GENETIC ASSOCIATION STUDY; GENETIC LINKAGE; GENETIC MARKER; GENETIC PREDISPOSITION; GENETIC VARIATION; GENETICS; HUMAN; PREVALENCE; PROCEDURES; REPRODUCIBILITY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BAYES THEOREM; CARDIOVASCULAR DISEASES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENETIC ASSOCIATION STUDIES; GENETIC LINKAGE; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; PREVALENCE; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY;

EID: 84927697933     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12160     Document Type: Article

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