A hierarchical model for estimating significance levels of non-parametric linkage statistics for large pedigrees

Genetic Epidemiology

Volumn 31, Issue 5, 2007, Pages 417-430

  Brock, Guy N ^a,d   Weeks, Daniel E ^b   Sobel, Eric ^c   Feingold, Eleanor ^b  

^a University of Medicine   (United States)

^b UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF LOUISVILLE   (United States)

Author keywords

Gene dropping; Hierarchical models; Linkage; Non parametric; Significance levels

Indexed keywords

ARTICLE; GENE FREQUENCY; GENE MAPPING; GENETIC LINKAGE; GENETIC MARKER; GENETIC MODEL; GENETIC PARAMETERS; GENOTYPE; MONTE CARLO METHOD; NONPARAMETRIC TEST; PEDIGREE ANALYSIS; SIMULATION; STATISTICAL SIGNIFICANCE;

ALLELES; FEMALE; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; HUMANS; LINKAGE (GENETICS); MALE; MARKOV CHAINS; MODELS, GENETIC; MODELS, STATISTICAL; MONTE CARLO METHOD; PEDIGREE; STATISTICS, NONPARAMETRIC;

EID: 34447341437     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20222     Document Type: Article

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