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Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees.
Bickeböller, Heike; Bailey, Julia N; Beyene, Joseph; Cantor, Rita M; Cordell, Heather J; Culverhouse, Robert C; Engelman, Corinne D; Fardo, David W; Ghosh, Saurabh; König, Inke R; Lorenzo Bermejo, Justo; Melton, Phillip E; Santorico, Stephanie A; Satten, Glen A; Sun, Lei; Tintle, Nathan L; Ziegler, Andreas; MacCluer, Jean W; Almasy, Laura.
Afiliação
  • Bickeböller H; Department of Genetic Epidemiology, University Medicine Göttingen, University of Göttingen, Humboldtallee 32, 37073 Göttingen, Germany.
  • Bailey JN; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.
  • Beyene J; Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON L8S 4K1, Canada.
  • Cantor RM; David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
  • Cordell HJ; Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK.
  • Culverhouse RC; Department of Medicine and Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO 63110, USA.
  • Engelman CD; Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53726, USA.
  • Fardo DW; Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA.
  • Ghosh S; Indian Statistical Institute, Kolkata 700108, West Bengal, India.
  • König IR; Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany.
  • Lorenzo Bermejo J; Institute of Medical Biometry and Informatics, University of Heidelberg, 69120 Heidelberg, Germany.
  • Melton PE; Centre for Genetic Origins of Health and Disease, Statistical Genetics, University of Western Australia, Crawley 6009, Australia.
  • Santorico SA; Department of Mathematical and Statistical Sciences, University of Colorado, Denver, CO 80217, USA.
  • Satten GA; Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
  • Sun L; Department of Statistical Sciences, University of Toronto, Toronto, ON M5S 3G3, Canada.
  • Tintle NL; Department of Mathematics, Computer Science and Statistics, Dordt College, Sioux Center, IA 51250, USA.
  • Ziegler A; Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany ; Zentrum für Klinische Studien, Universität zu Lübeck, 23562 Lübeck, Germany.
  • MacCluer JW; Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78245, USA.
  • Almasy L; Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78245, USA.
BMC Proc ; 8(Suppl 1): S1, 2014.
Article em En | MEDLINE | ID: mdl-25519310
ABSTRACT
Genetic Analysis Workshop 18 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence data from a pedigree-based sample. In this article we present an overview of the data sets and the contributions that analyzed these data. The family data, donated by the Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Ethnic Samples Consortium, included sequence-level genotypes based on sequencing and imputation, genome-wide association genotypes from prior genotyping arrays, and phenotypes from longitudinal assessments. The contributions from individual research groups were extensively discussed before, during, and after the workshop in theme-based discussion groups before being submitted for publication.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BMC Proc Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BMC Proc Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Alemanha