On Quality Control Measures in Genome-Wide Association Studies: A Test to Assess the Genotyping Quality of Individual Probands in Family-Based Association Studies and an Application to the HapMap Data

David W. Fardo; Iuliana Ionita-Laza; Christoph Lange

doi:10.1371/journal.pgen.1000572

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Peer-reviewed

Research Article

On Quality Control Measures in Genome-Wide Association Studies: A Test to Assess the Genotyping Quality of Individual Probands in Family-Based Association Studies and an Application to the HapMap Data

David W. Fardo,

Affiliation Department of Biostatistics, University of Kentucky College of Public Health, Lexington, Kentucky, United States of America
⨯
Iuliana Ionita-Laza,

Affiliation Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
⨯
Christoph Lange

* E-mail: clange@hsph.harvard.edu

Affiliations Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America, Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
⨯

On Quality Control Measures in Genome-Wide Association Studies: A Test to Assess the Genotyping Quality of Individual Probands in Family-Based Association Studies and an Application to the HapMap Data

David W. Fardo,
Iuliana Ionita-Laza,
Christoph Lange

Published: July 24, 2009
https://doi.org/10.1371/journal.pgen.1000572

About the Authors

David W. Fardo

Affiliation Department of Biostatistics, University of Kentucky College of Public Health, Lexington, Kentucky, United States of America

Iuliana Ionita-Laza

Affiliation Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America

Christoph Lange

* E-mail: clange@hsph.harvard.edu

Affiliations Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America, Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: DWF CL. Performed the experiments: DWF IIL CL. Analyzed the data: DWF IIL CL. Contributed reagents/materials/analysis tools: DWF IIL CL. Wrote the paper: DWF CL.

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Genotyping
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Single nucleotide polymorphisms
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Test statistics
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Genome-wide association studies
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Variant genotypes
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Quality control
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Genome analysis
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Homozygosity
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