%0 Journal Article %1 khan2022recommendations %A Khan, Alyna T. %A Gogarten, Stephanie M. %A McHugh, Caitlin P. %A Stilp, Adrienne M. %A Sofer, Tamar %A Bowers, Michael L. %A Wong, Quenna %A Cupples, L. Adrienne %A Hidalgo, Bertha %A Johnson, Andrew D. %A McDonald, Merry-Lynn N. %A McGarvey, Stephen T. %A Taylor, Matthew R.G. %A Fullerton, Stephanie M. %A Conomos, Matthew P. %A Nelson, Sarah C. %D 2022 %J Cell Genomics %K popgen_racism what_are_populations %N 8 %P 100155 %R https://doi.org/10.1016/j.xgen.2022.100155 %T Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program %U https://www.sciencedirect.com/science/article/pii/S2666979X22000921 %V 2 %X Summary How race, ethnicity, and ancestry are used in genomic research has wide-ranging implications for how research is translated into clinical care and incorporated into public understanding. Correlation between race and genetic ancestry contributes to unresolved complexity for the scientific community, as illustrated by heterogeneous definitions and applications of these variables. Here, we offer commentary and recommendations on the use of race, ethnicity, and ancestry across the arc of genetic research, including data harmonization, analysis, and reporting. While informed by our experiences as researchers affiliated with the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, these recommendations are applicable to basic and translational genomic research in diverse populations with genome-wide data. Moving forward, considerable collaborative effort will be required to ensure that race, ethnicity, and ancestry are described and used appropriately to generate scientific knowledge that yields broad and equitable benefit.

@article{khan2022recommendations, abstract = {Summary How race, ethnicity, and ancestry are used in genomic research has wide-ranging implications for how research is translated into clinical care and incorporated into public understanding. Correlation between race and genetic ancestry contributes to unresolved complexity for the scientific community, as illustrated by heterogeneous definitions and applications of these variables. Here, we offer commentary and recommendations on the use of race, ethnicity, and ancestry across the arc of genetic research, including data harmonization, analysis, and reporting. While informed by our experiences as researchers affiliated with the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, these recommendations are applicable to basic and translational genomic research in diverse populations with genome-wide data. Moving forward, considerable collaborative effort will be required to ensure that race, ethnicity, and ancestry are described and used appropriately to generate scientific knowledge that yields broad and equitable benefit.}, added-at = {2023-02-02T15:45:57.000+0100}, author = {Khan, Alyna T. and Gogarten, Stephanie M. and McHugh, Caitlin P. and Stilp, Adrienne M. and Sofer, Tamar and Bowers, Michael L. and Wong, Quenna and Cupples, L. Adrienne and Hidalgo, Bertha and Johnson, Andrew D. and McDonald, Merry-Lynn N. and McGarvey, Stephen T. and Taylor, Matthew R.G. and Fullerton, Stephanie M. and Conomos, Matthew P. and Nelson, Sarah C.}, biburl = {https://www.bibsonomy.org/bibtex/293dd5618b8723800c63b60c9ec9dc01d/peter.ralph}, doi = {https://doi.org/10.1016/j.xgen.2022.100155}, interhash = {e501f108b12904e4f66ab56528938972}, intrahash = {93dd5618b8723800c63b60c9ec9dc01d}, issn = {2666-979X}, journal = {Cell Genomics}, keywords = {popgen_racism what_are_populations}, number = 8, pages = 100155, timestamp = {2023-02-02T15:45:57.000+0100}, title = {Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program}, url = {https://www.sciencedirect.com/science/article/pii/S2666979X22000921}, volume = 2, year = 2022 }