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Caliebe, Amke

https://orcid.org/0000-0003-0340-9154

Mayo Clinic

Christian-Albrechts-Universität zu Kiel

Citations 1

Including diverse and admixed populations in genetic epidemiology research
Caliebe, Amke , Tekola‐Ayele, Fasil , Darst, Burcu F. , Wang, Xuexia , Song, Yeunjoo E. , Sebro, Ronnie , Balding, David J. , Saad, Mohamad , Dubé, Marie‐Pierre , Sebro, Ronnie A, Dubé, Marie-Pierre , Darst, Burcu F , Gui, Jiang

Genetic Epidemiology | July 17, 2022 | Volume: 46 | Issue: 7 | Pages: 347-371

10.1002/gepi.22492 Get It

AbstractThe 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.