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Research Article

Hierarchical Generalized Linear Models for Multiple Groups of Rare and Common Variants: Jointly Estimating Group and Individual-Variant Effects

  • Nengjun Yi mail,

    nyi@ms.soph.uab.edu

    Affiliation: Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Nianjun Liu,

    Affiliation: Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Degui Zhi,

    Affiliation: Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Jun Li

    Affiliation: Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Published: December 01, 2011
  • DOI: 10.1371/journal.pgen.1002382

About the Authors

Nengjun Yi, Nianjun Liu, Degui Zhi, Jun Li
Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

Corresponding Author

Email: nyi@ms.soph.uab.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: NY. Performed the experiments: NY. Analyzed the data: NY. Contributed reagents/materials/analysis tools: NY. Wrote the paper: NY NL DZ JL.