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Research Article

A Novel Adaptive Method for the Analysis of Next-Generation Sequencing Data to Detect Complex Trait Associations with Rare Variants Due to Gene Main Effects and Interactions

  • Dajiang J. Liu,

    Affiliations: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America, Department of Statistics, Rice University, Houston, Texas, United States of America

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  • Suzanne M. Leal mail

    sleal@bcm.edu

    Affiliations: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America, Department of Statistics, Rice University, Houston, Texas, United States of America

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  • Published: October 14, 2010
  • DOI: 10.1371/journal.pgen.1001156

About the Authors

Dajiang J. Liu, Suzanne M. Leal
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
Dajiang J. Liu, Suzanne M. Leal
Department of Statistics, Rice University, Houston, Texas, United States of America

Corresponding Author

Email: sleal@bcm.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: DJL SML. Performed the experiments: DJL. Analyzed the data: DJL. Contributed reagents/materials/analysis tools: DJL SML. Wrote the paper: DJL SML.