Gene and network analysis of common variants reveals novel associations in multiple complex diseases

Genetics

Volumn 204, Issue 2, 2016, Pages 783-798

  Nakka, Priyanka ^a   Raphael, Benjamin J ^a,b   Ramachandran, Sohini ^a  

^a BROWN UNIVERSITY   (United States)

^b Brown Univerity   (United States)

Author keywords

Common variants; Complex diseases; GWAS; Pathway analysis; Quantitative traits

Indexed keywords

ACUTE LYMPHOBLASTIC LEUKEMIA; ARTICLE; ATTENTION DEFICIT DISORDER; BIPOLAR DISORDER; BODY MASS; COMPARATIVE STUDY; CONTROLLED STUDY; CROHN DISEASE; DISEASES; DNA SEQUENCE; GENE LINKAGE DISEQUILIBRIUM; GENE REGULATORY NETWORK; GENETIC ASSOCIATION; HUMAN; MAJOR DEPRESSION; MEASUREMENT ACCURACY; NON INSULIN DEPENDENT DIABETES MELLITUS; PHENOTYPE; PRIORITY JOURNAL; RHEUMATOID ARTHRITIS; SCHIZOPHRENIA; SCORING SYSTEM; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; ULCERATIVE COLITIS; WAIST HIP RATIO; EPISTASIS; GENETIC PREDISPOSITION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

DATA INTERPRETATION, STATISTICAL; EPISTASIS, GENETIC; GENE REGULATORY NETWORKS; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84991492394     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.116.188391     Document Type: Article

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