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Updated: Nov 1, 2025

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
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Exploring AyuGenomics approach for understanding COVID-19 predisposition and progression
Vedika Bhat1, Swapnil Borse1, Preeti Chavan-Gautam1
1AYUSH - Center of Excellence, Center for Complementary and Integrative Health, Interdisciplinary School of Health Sciences, Savitribai Phule Pune University, Pune, 411 007, India.
Journal of Ayurveda and Integrative Medicine
|June 28, 2021
Summary
Genetic predisposition influences COVID-19 susceptibility and progression. Ayurveda
Area of Science:
- Genetics
- Immunology
- Ayurveda
Background:
- COVID-19 susceptibility and progression show genetic links.
- Key genetic variants identified in HLA, ACE, ACE2, and TMPRSS2 genes.
- Need to identify susceptible populations for targeted COVID-19 therapies.
Purpose of the Study:
- To explore Ayurveda's Prakriti concept for predicting genomic and phenotypic variations related to COVID-19.
- To investigate the potential of Prakriti-based screening for personalized COVID-19 management strategies.
Main Methods:
- Review of existing reports on genetic variants in COVID-19.
- Analysis of Ayurvedic concept of Prakriti and its correlation with HLA-DR alleles (AyuGenomics).
Main Results:
- Genetic variants in HLA, ACE, ACE2, and TMPRSS2 are associated with COVID-19.
- Prakriti correlates with HLA-DR alleles, suggesting immune response differences.
- Ayurveda-based phenotypes may predict variations in immune and drug responses.
Conclusions:
- Ayurveda's Prakriti offers a potential framework for personalized COVID-19 strategies.
- Further clinical evaluation is needed to link Prakriti with genetic/phenotypic variants in COVID-19 populations.
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