Methods of integrating data to uncover genotype-phenotype interactions

Nature Reviews Genetics

Volumn 16, Issue 2, 2015, Pages 85-97

  Ritchie, Marylyn D ^a   Holzinger, Emily R ^b   Li, Ruowang ^a   Pendergrass, Sarah A ^a   Kim, Dokyoon ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; MICRORNA; PROTEOME; TRANSCRIPTOME;

COPY NUMBER VARIATION; DNA DAMAGE; DNA INTEGRATION; DNA METHYLATION; DNA SEQUENCE; GENE EXPRESSION; GENE IDENTIFICATION; GENE LINKAGE DISEQUILIBRIUM; GENE SEQUENCE; GENETIC ALGORITHM; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOME; GENOTYPE; GENOTYPE PHENOTYPE CORRELATION; HERITABILITY; HUMAN; METABOLITE; METABOLOME; METABOLOMICS; OVARY CANCER; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; QUALITY CONTROL; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM; TRANSCRIPTOMICS; BIOLOGICAL MODEL; INHERITANCE; META ANALYSIS (TOPIC); PHENOTYPE; PHYSIOLOGY; PROCEDURES; STATISTICAL ANALYSIS; SYSTEMS BIOLOGY;

DATA INTERPRETATION, STATISTICAL; GENETIC VARIATION; GENOTYPE; HUMANS; INHERITANCE PATTERNS; META-ANALYSIS AS TOPIC; MODELS, BIOLOGICAL; PHENOTYPE; SYSTEMS BIOLOGY;

EID: 84925031191     PISSN: 14710056     EISSN: 14710064     Source Type: Journal    
DOI: 10.1038/nrg3868     Document Type: Review

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