Manara - Qatar Research Repository
Browse

Including diverse and admixed populations in genetic epidemiology research

Download (1.02 MB)
journal contribution
submitted on 2024-04-23, 06:06 and posted on 2024-04-23, 06:08 authored by Amke Caliebe, Fasil Tekola‐Ayele, Burcu F. Darst, Xuexia Wang, Yeunjoo E. Song, Jiang Gui, Ronnie A. Sebro, David J. Balding, Mohamad Saad, Marie‐Pierre Dubé, IGES ELSI Committee

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.

Other Information

Published in: Genetic Epidemiology
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1002/gepi.22492

History

Language

  • English

Publisher

Wiley

Publication Year

  • 2022

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • Qatar Computing Research Institute - HBKU

Usage metrics

    Qatar Computing Research Institute - HBKU

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC