Power of family-based association designs to detect rare variants in large pedigrees using imputed genotypes

Genetic Epidemiology

Volumn 38, Issue 1, 2014, Pages 1-9

  Saad, Mohamad ^a,b   Wijsman, Ellen M ^a,b  

^a UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Burden test; Inheritance vectors; Kernel statistic; MCMC; Mixed linear model; Sequence data

Indexed keywords

ACCURACY; ALLELE; ARTICLE; COST EFFECTIVENESS ANALYSIS; FAMILY RELATION; GENE DOSAGE; GENE SEQUENCE; GENETIC HETEROGENEITY; GENETIC MARKER; GENETIC VARIABILITY; MONTE CARLO METHOD; PEDIGREE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BURDEN TEST; INHERITANCE VECTORS; KERNEL STATISTIC; MCMC; MIXED LINEAR MODEL; SEQUENCE DATA;

ALLELES; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HAPLOTYPES; HUMANS; LINKAGE DISEQUILIBRIUM; MODELS, GENETIC; PEDIGREE; RESEARCH DESIGN; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84890160000     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21776     Document Type: Article

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