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Scientific reports 2015 :0
Genome-wide analysis correlates Ayurveda Prakriti.
Govindaraj Periyasamy P (1), Nizamuddin Sheikh S (1), Sharath Anugula A (1), Jyothi Vuskamalla V (1), Rotti Harish H (2), Raval Ritu R (2), Nayak Jayakrishna J (3), Bhat Balakrishna K BK (3), Prasanna B V BV (3), Shintre Pooja P (4), Sule Mayura M (4), Joshi Kalpana S KS (4), Dedge Amrish P AP (4), Bharadwaj Ramachandra R (5), Gangadharan G G GG (5), Nair Sreekumaran S (6), Gopinath Puthiya M PM (2), Patwardhan Bhushan B (7), Kondaiah Paturu P (8), Satyamoorthy Kapaettu K (2), Valiathan Marthanda Varma Sankaran MV (2), Thangaraj Kumarasamy K (1)
1. CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India. 2. School of Life Sciences, Manipal University, Manipal, Karnataka, India. 3. Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India. 4. Sinhgad College of Engineering, Pune, Maharashtra, India. 5. Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India. 6. Department of Statistics, Manipal University, Manipal, Karnataka, India. 7. Interdisciplinary School of Health Sciences, University of Pune, Pune, Maharashtra, India. 8. Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, Karnataka, India.
Abstract
The practice of Ayurveda, the traditional medicine of India, is based on the concept of three major constitutional types (Vata, Pitta and Kapha) defined as "Prakriti". To the best of our knowledge, no study has convincingly correlated genomic variations with the classification of Prakriti. In the present study, we performed genome-wide SNP (single nucleotide polymorphism) analysis (Affymetrix, 6.0) of 262 well-classified male individuals (after screening 3416 subjects) belonging to three Prakritis. We found 52 SNPs (p = 1 × 10(-5)) were significantly different between Prakritis, without any confounding effect of stratification, after 10(6) permutations. Principal component analysis (PCA) of these SNPs classified 262 individuals into their respective groups (Vata, Pitta and Kapha) irrespective of their ancestry, which represent its power in categorization. We further validated our finding with 297 Indian population samples with known ancestry. Subsequently, we found that PGM1 correlates with phenotype of Pitta as described in the ancient text of Caraka Samhita, suggesting that the phenotypic classification of India's traditional medicine has a genetic basis; and its Prakriti-based practice in vogue for many centuries resonates with personalized medicine.
DHARA ID: D055966 Pubmed ID: 26511157
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