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Integration of Genetics Into the Design and Conduct of Clinical Trials in Nephrology.

📅 Published: September 1, 2025 👤 Ozimek-Kulik Justyna E, Larkins Nicholas G, Rangan Gopi K et al. 📖 Seminars in nephrology
AI-Generated Summary

Advances in genomic diagnostics have enabled earlier and more precise identification of genetic kidney disease, but the translation of these insights into trial methodology and therapeutic development has lagged. Realizing this potential will require cross-disciplinary coordination, international collaboration, and co-design with patients and communities.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 This review examines the current challenges in nephrology trials-including disease heterogeneity, slow progression, and limited industry engagement-and explores how genomic information can address these barriers.
  • 2 Examples from trials in autosomal dominant polycystic kidney disease and other genetic kidney diseases demonstrate the feasibility and value of genomics-informed approaches, including genotype-based recruitment, post hoc genetic stratification, and drug repurposing.
  • 3 The emergence of genotype stratification, artificial intelligence tools, and gene-based therapies presents further opportunities to refine trial design and personalize treatment.
Why It Matters

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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