Unlocking Clinical Precision Through Polygenic Risk Prediction

Authors

  • Brijesh Sathian Hamad Medical Corporation
  • Javed Iqbal Hamad Medical Corporation
  • Indrajit Banerjee Sir Seewoosagur Ramgoolam Medical College
  • Hanadi Al Hamad Hamad Medical Corporation

Keywords:

Polygenic Risk Prediction, Genomic medicine, Genome-wide association studies, Nepal

Abstract

Genomic medicine has undergone significant changes over the last decade. The Polygenic Risk Score (PRS), which combines the impact of hundreds to millions of genetic variations to approximate an individual's risk of developing a complex disease (such as coronary artery disease, diabetes, or Alzheimer's disease), is one of the most promising tools. In comparison to monogenic variants, which can carry high and uncommon risks, polygenic models offer predictive capabilities for the population. However, these findings have not yet been translated into clinical care.

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Author Biographies

Brijesh Sathian, Hamad Medical Corporation

Geriatrics and long term care Department, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar

Javed Iqbal, Hamad Medical Corporation

Nursing Department, Hamad Medical Corporation, Doha, Qatar.

Indrajit Banerjee, Sir Seewoosagur Ramgoolam Medical College

Sir Seewoosagur Ramgoolam Medical College, Belle Rive, Mauritius

Hanadi Al Hamad, Hamad Medical Corporation

Geriatrics and long term care department, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar

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Published

2024-12-31

How to Cite

Unlocking Clinical Precision Through Polygenic Risk Prediction. (2024). Nepal Journal of Epidemiology, 14(3), 1344-1345. https://doi.org/10.3126/nje.v14i3.82370

Issue

Vol. 14 No. 3 (2024)

Section

Editorial

License

Copyright (c) 2024 CEA & INEA

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  • Articles in the Nepal Journal of Epidemiology are Open Access articles published under the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/)
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How to Cite

Unlocking Clinical Precision Through Polygenic Risk Prediction. (2024). Nepal Journal of Epidemiology, 14(3), 1344-1345. https://doi.org/10.3126/nje.v14i3.82370