Genome-wide association studies with high-dimensional phenotypes

Statistical Applications in Genetics and Molecular Biology

Volumn 12, Issue 4, 2013, Pages 413-431

  Marttinen, Pekka ^a   Gillberg, Jussi ^a   Havulinna, Aki ^c   Corander, Jukka ^b   Kaski, Samuel ^a,b  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

Author keywords

Canonical correlation analysis; Genome wide association study; Latent confounding factors; Metabolomics; Regularized regression

Indexed keywords

ARTICLE; CORRELATION ANALYSIS; FEASIBILITY STUDY; GENETIC ASSOCIATION; GENETIC MARKER; GENETIC VARIABILITY; GENOTYPE PHENOTYPE CORRELATION; HUMAN; INDIVIDUALIZATION; INTERMETHOD COMPARISON; METABOLOMICS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; REGRESSION ANALYSIS;

EID: 84881502953     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/sagmb-2012-0032     Document Type: Article

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