Addressing Ancestry and Sex Bias in Global Genomics Datasets

The underrepresentation of non-European populations in genomics datasets limits our understanding of genetic associations to diseases the translation of promising cures to under-represented populations. For example, gender bias in pharmacogenomics results in higher rates of adverse drug reactions in women, who are underrepresented in clinical trials and genetic studies, while diversity biases results in a broad range of neglected diseases in less represented populations.

Ensuring equitable access to the benefits of genomic research is not only a matter of justice but also a fundamental human right. Efforts to address biases and promote diversity in genomics are essential for upholding these ethical principles and advancing global health outcomes. To hear about this and how to contribute to a solution, please join our own Dr Manuel Corpas for our next session!

Manuel is Chief Scientist of Cambridge startup Cambridge Precision Medicine, founder of the International Society for Computational Biology Student Council, Fellow of the Software Sustainability Institute and has recently organised the first congress of genomic medicine in Madrid, Spain. More info at https://en.wikipedia.org/wiki/Manuel_Corpas_(scientist)

Approximate schedule:

6:30: doors open,
7:00: chitchat, announcements
7:05: talk starts
7:45: talk ends, adjourn to pub