Genetic association-guided analysis of gene networks for the study of complex traits

Circulation: Cardiovascular Genetics

Volumn 9, Issue 2, 2016, Pages 179-184

  Greene, Casey S ^a   Himmelstein, Daniel S ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

association studies; bioinformatics; genetics; genomics; network biology

Indexed keywords

ANTIHYPERTENSIVE AGENT; COMPLEMENT FACTOR H; MICRORNA;

AGE RELATED MACULAR DEGENERATION; ANTIHYPERTENSIVE THERAPY; ARTICLE; EFFECT SIZE; EVIDENCE BASED MEDICINE; GENE EXPRESSION; GENE REGULATORY NETWORK; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC TRAIT; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE ENVIRONMENT INTERACTION; HEREDITY; HUMAN; HYPERTENSION; MACHINE LEARNING; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; RISK FACTOR; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL SIGNIFICANCE; EPIDEMIOLOGY; GENETIC ASSOCIATION STUDY; GENETICS; GENOMICS; QUANTITATIVE TRAIT;

CONFOUNDING FACTORS (EPIDEMIOLOGY); GENE REGULATORY NETWORKS; GENETIC ASSOCIATION STUDIES; GENOMICS; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

EID: 84966297179     PISSN: 1942325X     EISSN: 19423268     Source Type: Journal    
DOI: 10.1161/CIRCGENETICS.115.001181     Document Type: Article

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