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On the association analysis of genome-sequencing data: A spatial clustering approach for partitioning the entire genome into nonoverlapping windows.
Loehlein Fier, Heide; Prokopenko, Dmitry; Hecker, Julian; Cho, Michael H; Silverman, Edwin K; Weiss, Scott T; Tanzi, Rudolph E; Lange, Christoph.
Afiliación
  • Loehlein Fier H; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
  • Prokopenko D; Working Group of Genomic Mathematics, University of Bonn, Bonn, Germany.
  • Hecker J; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Cho MH; Working Group of Genomic Mathematics, University of Bonn, Bonn, Germany.
  • Silverman EK; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Weiss ST; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Tanzi RE; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Lange C; Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, United States of America.
Genet Epidemiol ; 41(4): 332-340, 2017 05.
Article en En | MEDLINE | ID: mdl-28318110
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Genoma / Análisis de Secuencia de ADN / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Genoma / Análisis de Secuencia de ADN / Estudio de Asociación del Genoma Completo Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos