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A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis.
Chen, Rui; Wei, Qiang; Zhan, Xiaowei; Zhong, Xue; Sutcliffe, James S; Cox, Nancy J; Cook, Edwin H; Li, Chun; Chen, Wei; Li, Bingshan.
Afiliación
  • Chen R; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Wei Q; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Zhan X; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Zhong X; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Sutcliffe JS; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Cox NJ; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Cook EH; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Li C; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Chen W; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
  • Li B; Department of Molecular Physiology and Biophysics, Vanderbilt University, TN, 37221, USA, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA, Center for Quantitative Sciences, Vanderbilt University, TN, 37221, USA, Department of Medicine, Univer
Bioinformatics ; 31(9): 1452-9, 2015 May 01.
Article en En | MEDLINE | ID: mdl-25568282
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Haplotipos / Desequilibrio de Ligamiento / Estudios de Asociación Genética Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Haplotipos / Desequilibrio de Ligamiento / Estudios de Asociación Genética Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article