One goal of genomic medicine is to uncover an individual's genetic risk for disease, which generally requires data connecting genotype to phenotype, as done in genome-wide association studies (GWAS). We also survey the ancestry representation of published GWAS and investigate how estimates of ancestry diversity in GWASparticipants might be biased.
Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.
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| Category | 🧬 Medicine & Biology |
| Published | Aug 10, 2022 |
| Journal | Annual review of biomedical data science |
| Authors | Ju Dan, Hui Daniel, Hammond Dorothy A, Wonkam Ambroise, Tishkoff Sarah A |
| DOI | 10.1146/annurev-biodatasci-122220-112550 |
| Source | PubMed |