Predicting quantitative traits from genome and phenome with near perfect accuracy

Nature Communications

Volumn 7, Issue , 2016, Pages

  Märtens, Kaspar ^a   Hallin, Johan ^b   Warringer, Jonas ^c,d   Liti, Gianni ^b   Parts, Leopold ^a,e  

^a UNIVERSITY OF TARTU   (Estonia)

^b UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^c UNIVERSITY OF GOTHENBURG   (Sweden)

^d NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^e WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOASSAY; COHORT ANALYSIS; DISEASE; EXPERIMENTAL STUDY; GENETIC VARIATION; GENOME; GROWTH; HEALTH RISK; HERITABILITY; LABORATORY METHOD; PUBLIC HEALTH; RELATEDNESS; YEAST;

BIOLOGICAL MODEL; DIPLOIDY; FUNGAL GENOME; GENETIC ASSOCIATION STUDY; GENETIC PREDISPOSITION; GENETICS; GENOTYPE; GROWTH, DEVELOPMENT AND AGING; HUMAN; HYBRIDIZATION; PHENOTYPE; QUANTITATIVE TRAIT; QUANTITATIVE TRAIT LOCUS; SACCHAROMYCES CEREVISIAE;

DIPLOIDY; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; GENOME, FUNGAL; GENOTYPE; HUMANS; HYBRIDIZATION, GENETIC; MODELS, GENETIC; PHENOTYPE; QUANTITATIVE TRAIT LOCI; QUANTITATIVE TRAIT, HERITABLE; SACCHAROMYCES CEREVISIAE;

EID: 84968680208     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms11512     Document Type: Article

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