The value of statistical or bioinformatics annotation for rare variant association with quantitative trait

Genetic Epidemiology

Volumn 37, Issue 7, 2013, Pages 666-674

  Byrnes, Andrea E ^a   Wu, Michael C ^a   Wright, Fred A ^a   Li, Mingyao ^b   Li, Yun ^a,c,d  

^a University of North Carolina at Chapel Hill   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^d University of North Carolina   (United States)

Author keywords

Association; Rare variants; Variable selection; Variant annotation; Weighting

Indexed keywords

CHOLESTEROL;

ACCURACY; ARTICLE; BIOINFORMATICS; CHOLESTEROL BLOOD LEVEL; CORRELATION ANALYSIS; COST; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC TRAIT; GENETIC VARIABILITY; GENOTYPE; MOLECULAR DYNAMICS; PHENOTYPE; QUANTITATIVE TRAIT; SIGNAL NOISE RATIO;

ASSOCIATION; RARE VARIANTS; VARIABLE SELECTION; VARIANT ANNOTATION; WEIGHTING;

COMPUTATIONAL BIOLOGY; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; GENOTYPE; HUMANS; MODELS, GENETIC; MOLECULAR SEQUENCE ANNOTATION; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI;

EID: 84885865195     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21747     Document Type: Article

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