Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits.

Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits.

Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic st...

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Bibliographic Details
Main Authors: Elizabeth K Speliotes, Laura M Yerges-Armstrong, Jun Wu, Ruben Hernaez, Lauren J Kim, Cameron D Palmer, Vilmundur Gudnason, Gudny Eiriksdottir, Melissa E Garcia, Lenore J Launer, Michael A Nalls, Jeanne M Clark, Braxton D Mitchell, Alan R Shuldiner, Johannah L Butler, Marta Tomas, Udo Hoffmann, Shih-Jen Hwang, Joseph M Massaro, Christopher J O'Donnell, Dushyant V Sahani, Veikko Salomaa, Eric E Schadt, Stephen M Schwartz, David S Siscovick, NASH CRN, GIANT Consortium, MAGIC Investigators, Benjamin F Voight, J Jeffrey Carr, Mary F Feitosa, Tamara B Harris, Caroline S Fox, Albert V Smith, W H Linda Kao, Joel N Hirschhorn, Ingrid B Borecki, GOLD Consortium
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-03-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC3053321?pdf=render

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http://europepmc.org/articles/PMC3053321?pdf=render

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