| Literature DB >> 35842778 |
Amke Caliebe1, Fasil Tekola-Ayele2, Burcu F Darst3,4, Xuexia Wang5, Yeunjoo E Song6, Jiang Gui7, Ronnie A Sebro8, David J Balding9, Mohamad Saad10,11, Marie-Pierre Dubé12,13.
Abstract
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.Entities:
Keywords: admixture; diversity; genetic association; genome-wide association study; inclusion
Mesh:
Year: 2022 PMID: 35842778 PMCID: PMC9452464 DOI: 10.1002/gepi.22492
Source DB: PubMed Journal: Genet Epidemiol ISSN: 0741-0395 Impact factor: 2.344