A simple and computationally efficient sampling approach to covariate adjustment for multifactor dimensionality reduction analysis of epistasis

Human Heredity

Volumn 70, Issue 3, 2010, Pages 219-225

  Gui, Jiang ^c   Andrew, Angeline S ^c   Andrews, Peter ^a,b   Nelson, Heather M ⁱ   Kelsey, Karl T ^g   Karagas, Margaret R ^c   Moore, Jason H ^{a,b,c,d,e,f,h}  

^a Computational Genetics Laboratory ^*  (United States)

^b Curriculum in Genetics and Molecular Biology   (United States)

^c DARTMOUTH MEDICAL SCHOOL   (United States)

^d Univ of New Hampshire   (United States)

^e University of Vermont   (United States)

^f Department of Psychiatry and Human Behavior ^*  (United States)

^g BROWN UNIVERSITY   (United States)

^h TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

ⁱ UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Covariate adjustment; Epistasis; Multifactor dimensionality reduction

Indexed keywords

ANALYSIS OF COVARIANCE; ARTICLE; BLADDER CANCER; CIGARETTE SMOKING; COMPUTER ANALYSIS; COMPUTER PROGRAM; EPISTASIS; GENE INTERACTION; GENETIC MODEL; INTERMETHOD COMPARISON; MULTIFACTOR DIMENSIONALITY REDUCTION ANALYSIS; POPULATION RESEARCH; SAMPLING; SEX DIFFERENCE; SINGLE NUCLEOTIDE POLYMORPHISM;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; EPISTASIS, GENETIC; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; MODELS, GENETIC; MULTIFACTOR DIMENSIONALITY REDUCTION; NEW HAMPSHIRE; POLYMORPHISM, SINGLE NUCLEOTIDE; SAMPLING STUDIES; URINARY BLADDER NEOPLASMS;

EID: 77957323457     PISSN: 00015652     EISSN: 14230062     Source Type: Journal    
DOI: 10.1159/000319175     Document Type: Article

References (17)

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