Network-based Analysis of Genome Wide Association Data Provides Novel Candidate Genes for Lipid and Lipoprotein Traits

Genome wide association studies (GWAS) identify susceptibility loci for complex traits, but do not identify particular genes of interest. Integration of functional and network information may help in overcoming this limitation and identifying new susceptibility loci. Using GWAS and comorbidity data,...

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Bibliografische gegevens
Hoofdauteurs: Sharma, Amitabh, Gulbahce, Natali, Pevzner, Samuel J., Menche, Jörg, Ladenvall, Claes, Folkersen, Lasse, Eriksson, Per, Orho-Melander, Marju, Barabási, Albert-László
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The American Society for Biochemistry and Molecular Biology 2013
Onderwerpen:
Technological Innovation and Resources
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3820950/
https://ncbi.nlm.nih.gov/pubmed/23882023
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1074/mcp.M112.024851
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