Use of Genome-Wide Expression Data to Mine the "Gray Zone" of GWA Studies Leads to Novel Candidate Obesity Genes

Use of Genome-Wide Expression Data to Mine the "Gray Zone" of GWA Studies Leads to Novel Candidate Obesity Genes

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To get beyond the "low-hanging fruits" so far identified by genome-wide association (GWA) studies, new methods must be developed in order to discover the numerous remaining genes that estimates of heritability indicate should be contributing to complex human phenotypes, such as obesity. He...

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Main Authors: Peltonen, Leena (Contributor), Naukkarinen, Jussi (Author), Surakka, Ida (Author), Pietiläinen, Kirsi H. (Author), Rissanen, Aila (Author), Salomaa, Veikko (Author), Ripatti, Samuli (Author), Yki-Järvinen, Hannele (Author), van Duijn, Cornelia M. (Author), Wichmann, H.-Erich (Author), Kaprio, Jaakko (Author), Taskinen, Marja-Riitta (Author), ENGAGE Consortium (Author)
Other Authors: Broad Institute of MIT and Harvard (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2011-01-06T22:17:58Z.
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