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GEM: scalable and flexible gene-environment interaction analysis in millions of samples.
Westerman, Kenneth E; Pham, Duy T; Hong, Liang; Chen, Ye; Sevilla-González, Magdalena; Sung, Yun Ju; Sun, Yan V; Morrison, Alanna C; Chen, Han; Manning, Alisa K.
Afiliación
  • Westerman KE; Department of Medicine, Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Pham DT; Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Hong L; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
  • Chen Y; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Sevilla-González M; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Sung YJ; Department of Medicine, Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Sun YV; Department of Medicine, Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Morrison AC; Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Chen H; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
  • Manning AK; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63130, USA.
Bioinformatics ; 37(20): 3514-3520, 2021 10 25.
Article en En | MEDLINE | ID: mdl-34695175
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Interacción Gen-Ambiente Límite: Female / Humans / Male Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Interacción Gen-Ambiente Límite: Female / Humans / Male Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos