Poly-omic prediction of complex traits: OmicKriging

Genetic Epidemiology

Volumn 38, Issue 5, 2014, Pages 402-415

  Wheeler, Heather E ^a   Aquino Michaels, Keston ^a   Gamazon, Eric R ^a   Trubetskoy, Vassily V ^a   Dolan, M Eileen ^a   Huang, R Stephanie ^a   Cox, Nancy J ^a   Im, Hae Kyung ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

Complex trait prediction; Kriging; Polygenic modeling; Polygenic prediction; Systems biology

Indexed keywords

HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR; LOW DENSITY LIPOPROTEIN CHOLESTEROL; MESSENGER RNA; MICRORNA; SIMVASTATIN; TRANSCRIPTOME;

ARTICLE; CELL GROWTH; COMPLEX TRAIT PREDICTION; EPIGENETICS; GENE EXPRESSION; GENETIC SIMILARITY; GENETIC TRAIT; GENOME; GENOTYPE; GEOSTATISTICAL ANALYSIS; HUMAN; KRIGING; MACHINE LEARNING; MATHEMATICAL MODEL; MOLECULAR PHYLOGENY; PHENOTYPE; PREDICTION; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM; TRANSCRIPTOMICS; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; BLOOD; CASE CONTROL STUDY; COMPUTER PROGRAM; GENETIC PREDISPOSITION; GENETICS; MULTIFACTORIAL INHERITANCE; PROCEDURES; SYSTEMS BIOLOGY; TIME;

BAYES THEOREM; CASE-CONTROL STUDIES; CELL GROWTH PROCESSES; CHOLESTEROL, LDL; COMPUTATIONAL BIOLOGY; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MICRORNAS; MODELS, GENETIC; MULTIFACTORIAL INHERITANCE; PHENOTYPE; RNA, MESSENGER; SIMVASTATIN; SOFTWARE; SYSTEMS BIOLOGY; TIME FACTORS;

EID: 84902977140     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21808     Document Type: Article

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