Network-based analysis of genome wide association data provides novel candidate genes for lipid and lipoprotein traits.

Sharma, Amitabh; Gulbahce, Natali; Pevzner, Samuel J; Menche, Jörg; Ladenvall, Claes; Folkersen, Lasse; Eriksson, Per; Orho-Melander, Marju; Barabási, Albert-László

Sharma, Amitabh; Gulbahce, Natali; Pevzner, Samuel J; Menche, Jörg; Ladenvall, Claes; Folkersen, Lasse; Eriksson, Per; Orho-Melander, Marju; Barabási, Albert-László.

Affiliation

Sharma A; Department of Clinical Sciences, Diabetes and Cardiovascular Disease, Genetic Epidemiology, Lund University, University Hospital Malmö, Malmö, Sweden;

Mol Cell Proteomics ; 12(11): 3398-408, 2013 Nov.

Article in En | MEDLINE | ID: mdl-23882023

Subject(s)

Gene Regulatory Networks; Genome-Wide Association Study/statistics & numerical data; Lipids/genetics; Lipoproteins/genetics; Cardiovascular Diseases/etiology; Cardiovascular Diseases/genetics; Cardiovascular Diseases/metabolism; Cystathionine beta-Synthase/genetics; Cystathionine beta-Synthase/metabolism; Genetic Predisposition to Disease; Humans; Lipid Metabolism; Lipoproteins/metabolism; Polymorphism, Single Nucleotide; Proteomics; Risk Factors

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Regulatory Networks / Genome-Wide Association Study / Lipids / Lipoproteins Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Mol Cell Proteomics Journal subject: BIOLOGIA MOLECULAR / BIOQUIMICA Year: 2013 Type: Article

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