Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data

BMC Systems Biology

Volumn 6, Issue SUPPL3, 2012, Pages

  Liu, Yu ^a   Maxwell, Sean ^a,c   Feng, Tao ^a   Zhu, Xiaofeng ^a   Elston, Robert C ^a   Koyutürk, Mehmet ^a,b   Chance, Mark R ^a,c  

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Case Western Reserve University   (United States)

^c NeoProteomics Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; EPISTASIS; GENE EXPRESSION; GENE EXPRESSION REGULATION; GENE LOCUS; GENETIC ASSOCIATION; GENETIC DATABASE; GENETICS; GENOTYPE; HUMAN; METHODOLOGY; NON INSULIN DEPENDENT DIABETES MELLITUS; PHENOTYPE; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DIABETES MELLITUS, TYPE 2; EPISTASIS, GENETIC; GENE EXPRESSION; GENE EXPRESSION REGULATION; GENETIC LOCI; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; LOGISTIC MODELS; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; SIGNAL TRANSDUCTION;

MLCS; MLOWN;

EID: 84890436855     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-6-S3-S15     Document Type: Article

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