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Including diverse and admixed populations in genetic epidemiology research.
Caliebe, Amke; Tekola-Ayele, Fasil; Darst, Burcu F; Wang, Xuexia; Song, Yeunjoo E; Gui, Jiang; Sebro, Ronnie A; Balding, David J; Saad, Mohamad; Dubé, Marie-Pierre.
Afiliación
  • Caliebe A; Institute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
  • Tekola-Ayele F; Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
  • Darst BF; Center for Genetic Epidemiology, University of Southern California, Los Angeles, California, USA.
  • Wang X; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Song YE; Department of Mathematics, University of North Texas, Denton, Texas, USA.
  • Gui J; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
  • Sebro RA; Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, One Medical Center Dr., Lebanon, New Hampshire, USA.
  • Balding DJ; Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA.
  • Saad M; Melbourne Integrative Genomics, Schools of BioSciences and of Mathematics & Statistics, University of Melbourne, Melbourne, Australia.
  • Dubé MP; Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar.
Genet Epidemiol ; 46(7): 347-371, 2022 10.
Article en En | MEDLINE | ID: mdl-35842778
The inclusion of ancestrally diverse participants in genetic studies can lead to new discoveries and is important to ensure equitable health care benefit from research advances. Here, members of the Ethical, Legal, Social, Implications (ELSI) committee of the International Genetic Epidemiology Society (IGES) offer perspectives on methods and analysis tools for the conduct of inclusive genetic epidemiology research, with a focus on admixed and ancestrally diverse populations in support of reproducible research practices. We emphasize the importance of distinguishing socially defined population categorizations from genetic ancestry in the design, analysis, reporting, and interpretation of genetic epidemiology research findings. Finally, we discuss the current state of genomic resources used in genetic association studies, functional interpretation, and clinical and public health translation of genomic findings with respect to diverse populations.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genómica / Genética de Población Tipo de estudio: Observational_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genómica / Genética de Población Tipo de estudio: Observational_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Genet Epidemiol Asunto de la revista: EPIDEMIOLOGIA / GENETICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Alemania