Joint GWAS Analysis: Comparing similar GWAS at different genomic resolutions identifies novel pathway associations with six complex diseases

Genomics Data

Volumn 2, Issue , 2014, Pages 202-211

  McGeachie, Michael J ^a,b   Clemmer, George L ^a   Lasky Su, Jessica ^a,b   Dahlin, Amber ^a,b   Raby, Benjamin A ^a,b   Weiss, Scott T ^a,b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

GWAS; Meta analysis; Pathway enrichment; Pleiotropy; Systems genetics

Indexed keywords

VASCULOTROPIN;

ARTICLE; BIPOLAR DISORDER; CONTROLLED STUDY; CORONARY ARTERY DISEASE; CROHN DISEASE; GENE CLUSTER; GENE LINKAGE DISEQUILIBRIUM; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC DISORDER; GENOTYPE; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; META ANALYSIS (TOPIC); NON INSULIN DEPENDENT DIABETES MELLITUS; PHENOTYPE; PHYSICAL DISEASE; RHEUMATOID ARTHRITIS; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 84920624243     PISSN: 22135960     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gdata.2014.04.004     Document Type: Article

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