A statistical model for genetic mapping of viral infection by integrating epidemiological behavior

Statistical Applications in Genetics and Molecular Biology

Volumn 8, Issue 1, 2009, Pages

  Li, Yao ^a   Berg, Arthur ^b   Chang, Myron N ^c   Du, Ping ^b   Ahn, Kwangmi ^b   Mauger, David ^b   Liao, Duanping ^b   Wu, Rongling ^b  

^a WEST VIRGINIA UNIVERSITY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Epidemiological model; Genetic mapping; Haplotype; Higher order genetic interaction; Viral infection

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; DNA SEQUENCE; GENE INTERACTION; GENE MAPPING; GENETIC EPISTASIS; GENETIC REGULATION; GENETIC VARIABILITY; GENOME; GENOTYPE; HAPLOTYPE; HYPOTHESIS; MAXIMUM LIKELIHOOD METHOD; POPULATION GENETIC STRUCTURE; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; VIRUS INFECTION; VIRUS TRANSMISSION; BIOLOGICAL MODEL; GENETIC ASSOCIATION; GENETICS; HUMAN; MONTE CARLO METHOD;

ALGORITHMS; GENOME-WIDE ASSOCIATION STUDY; HAPLOTYPES; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; MONTE CARLO METHOD; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ANALYSIS, DNA; VIRUS DISEASES;

EID: 70350440750     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1475     Document Type: Article

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