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Research Article

Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease

  • Qing-Rong Chen mail,

    chenqi@mail.nih.gov

    Affiliation: Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Rosemary Braun,

    Affiliations: Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America, Biostatistics Division, Department of Preventive Medicine and Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Evanston, Illinois, United States of America

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  • Ying Hu,

    Affiliation: Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Chunhua Yan,

    Affiliation: Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Elizabeth M. Brunt,

    Affiliation: Department of Pathology & Immunology, School of Medicine, Washington University, St Louis, Missouri, United States of America

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  • Daoud Meerzaman,

    Affiliation: Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Arun J. Sanyal equal contributor,

    equal contributor Contributed equally to this work with: Arun J. Sanyal, Kenneth Buetow

    Affiliation: Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond, Virginia, United States of America

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  • Kenneth Buetow equal contributor

    equal contributor Contributed equally to this work with: Arun J. Sanyal, Kenneth Buetow

    Affiliations: Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America, Computational Science and Informatics Program, Complex Adaptive Systems Initiative, Arizona State University, Phoenix, Arizona, United States of America

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  • Published: July 19, 2013
  • DOI: 10.1371/journal.pone.0065982

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