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Importance of Including Non-European Populations in Large Human Genetic Studies to Enhance Precision Medicine.

📅 August 10, 2022 👤 Ju Dan, Hui Daniel, Hammond Dorothy A et al. 📖 Annual review of biomedical data science

🤖 Plain-English Summary

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.

🔑 Key Findings

  • While there may be clinical promise to employing prediction tools such as polygenic risk scores (PRS), it currently stands that individuals of non-European ancestry may not reap the benefits of genomic medicine because of underrepresentation in large-scale genetics studies.
  • Here, we discuss why this inequity poses a problem for genomic medicine and the reasons for the low transferability of PRS across populations.
  • We also survey the ancestry representation of published GWAS and investigate how estimates of ancestry diversity in GWASparticipants might be biased.

💡 Why This Matters

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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📋 Article Details

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

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