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Crossover interference and sex-specific genetic maps shape identical by descent sharing in close relatives.
Caballero, Madison; Seidman, Daniel N; Qiao, Ying; Sannerud, Jens; Dyer, Thomas D; Lehman, Donna M; Curran, Joanne E; Duggirala, Ravindranath; Blangero, John; Carmi, Shai; Williams, Amy L.
Afiliación
  • Caballero M; Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.
  • Seidman DN; Department of Computational Biology, Cornell University, Ithaca, New York, United States of America.
  • Qiao Y; Department of Computational Biology, Cornell University, Ithaca, New York, United States of America.
  • Sannerud J; Department of Computational Biology, Cornell University, Ithaca, New York, United States of America.
  • Dyer TD; South Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America.
  • Lehman DM; Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America.
  • Curran JE; South Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America.
  • Duggirala R; South Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America.
  • Blangero J; South Texas Diabetes and Obesity Institute and Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, United States of America.
  • Carmi S; Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
  • Williams AL; Department of Computational Biology, Cornell University, Ithaca, New York, United States of America.
PLoS Genet ; 15(12): e1007979, 2019 12.
Article en En | MEDLINE | ID: mdl-31860654
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Mapeo Cromosómico / Caracteres Sexuales Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Mapeo Cromosómico / Caracteres Sexuales Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos