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Including diverse and admixed populations in genetic epidemiology research
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 Socie...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452464/ https://www.ncbi.nlm.nih.gov/pubmed/35842778 http://dx.doi.org/10.1002/gepi.22492 |
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author | 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 |
author_facet | 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 |
author_sort | Caliebe, Amke |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9452464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94524642022-10-14 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 Genet Epidemiol Perspective 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. John Wiley and Sons Inc. 2022-07-16 2022-10 /pmc/articles/PMC9452464/ /pubmed/35842778 http://dx.doi.org/10.1002/gepi.22492 Text en © 2022 The Authors. Genetic Epidemiology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Perspective 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 Including diverse and admixed populations in genetic epidemiology research |
title | Including diverse and admixed populations in genetic epidemiology research |
title_full | Including diverse and admixed populations in genetic epidemiology research |
title_fullStr | Including diverse and admixed populations in genetic epidemiology research |
title_full_unstemmed | Including diverse and admixed populations in genetic epidemiology research |
title_short | Including diverse and admixed populations in genetic epidemiology research |
title_sort | including diverse and admixed populations in genetic epidemiology research |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452464/ https://www.ncbi.nlm.nih.gov/pubmed/35842778 http://dx.doi.org/10.1002/gepi.22492 |
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