Lehmann, Brieuc;
Bräuninger, Leandra;
Cho, Yoonsu;
Falck, Fabian;
Jayadeva, Smera;
Katell, Michael;
Nguyen, Thuy;
... Holmes, Chris; + view all
(2025)
Methodological opportunities in genomic data analysis to advance health equity.
Nature Reviews Genetics
10.1038/s41576-025-00839-w.
(In press).
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Abstract
The causes and consequences of inequities in genomic research and medicine are complex and widespread. However, it is widely acknowledged that underrepresentation of diverse populations in human genetics research risks exacerbating existing health disparities. Efforts to improve diversity are ongoing, but an often-overlooked source of inequity is the choice of analytical methods used to process, analyse and interpret genomic data. This choice can influence all areas of genomic research, from genome-wide association studies and polygenic score development to variant prioritization and functional genomics. New statistical and machine learning techniques to understand, quantify and correct for the impact of biases in genomic data are emerging within the wider genomic research and genomic medicine ecosystems. At this crucial time point, it is important to clarify where improvements in methods and practices can, or cannot, have a role in improving equity in genomics. Here, we review existing approaches to promote equity and fairness in statistical analysis for genomics, and propose future methodological developments that are likely to yield the most impact for equity.
| Type: | Article |
|---|---|
| Title: | Methodological opportunities in genomic data analysis to advance health equity |
| Location: | England |
| DOI: | 10.1038/s41576-025-00839-w |
| Publisher version: | https://doi.org/10.1038/s41576-025-00839-w |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10209668 |
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