Diversity on demand: multi-ancestry meta-analysis improves genetic risk prediction in prostate cancer

Several genome-wide association studies have been conducted to identify genetic risk factors associated with prostate cancer, but their ability to discover new genetic variants and their applicability across ancestry groups have been limited by their lack of genetic diversity, owing to an underrepresentation of non-European populations. A recent meta-analysis published in Nature Genetics by Conti et al. has used a multi-ancestry approach to identify 86 new genetic loci associated with prostate cancer risk, refine leads in known risk regions, and develop a genetic risk score that is transferable across population groups. The findings of this study represent a significant advancement in genetic risk prediction for prostate cancer and their incorporation into standard screening protocols may lead to significant improvements in clinical outcomes.