Optimal sequencing strategies for identifying disease-associated singletons

• Sara Rashkin ,

  * E-mail: srashkin@umich.edu (SR); goncalo@umich.edu (GRA)

  Affiliations Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America, Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America

  http://orcid.org/0000-0001-5542-6891

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• Goo Jun,

  Affiliations Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America, Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, United States of America

  http://orcid.org/0000-0003-0891-0204

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• Sai Chen,

  Affiliations Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America, Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America

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• Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) ,

  ¶Membership of the Genetics and Epidemiology of Colorectal Cancer Consortium is listed in the Acknowledgments.

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• Goncalo R. Abecasis

  * E-mail: srashkin@umich.edu (SR); goncalo@umich.edu (GRA)

  Affiliation Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America

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