Analysis of exome sequences with and without incorporating prior biological knowledge

Genetic Epidemiology

Volumn 35, Issue SUPPL. 1, 2011, Pages

  Namkung, Junghyun ^a   Raska, Paola ^a   Kang, Jia ^b   Liu, Yunlong ^c   Lu, Qing ^d   Zhu, Xiaofeng ^a  

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b YALE UNIVERSITY   (United States)

^c INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Association analysis; Bayesian network; Biological information; Population structure; Rare variant; Receiver operating characteristic; Risk prediction model

Indexed keywords

AGE DISTRIBUTION; ARTICLE; BAYESIAN LEARNING; DISEASE PREDISPOSITION; EXOME; GENE SEQUENCE; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC TRAIT; GENETIC VARIABILITY; HUMAN; POPULATION STRUCTURE; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SEQUENCE ANALYSIS; SEX DIFFERENCE; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING;

BAYES THEOREM; EXOME; GENE-ENVIRONMENT INTERACTION; GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; HUMAN GENOME PROJECT; HUMANS; MODELS, GENETIC; MOLECULAR EPIDEMIOLOGY; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ANALYSIS;

EID: 82455172162     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20649     Document Type: Article

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