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

Nengjun Yi; Nianjun Liu; Degui Zhi; Jun Li

doi:10.1371/journal.pgen.1002382

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Peer-reviewed

Research Article

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

Nengjun Yi ,

* E-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
⨯
Nianjun Liu,

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

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

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

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

Nengjun Yi,
Nianjun Liu,
Degui Zhi,
Jun Li

Published: December 1, 2011
https://doi.org/10.1371/journal.pgen.1002382

About the Authors

Nengjun Yi

* E-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

Nianjun Liu

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

Degui Zhi

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

Jun Li

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

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.

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