Genome-wide analysis correlates Ayurveda Prakriti

Periyasamy Govindaraj, Sheikh Nizamuddin, Anugula Sharath, Vuskamalla Jyothi, Harish Rotti, Ritu Raval, Jayakrishna Nayak, Balakrishna K. Bhat, B. V. Prasanna, Pooja Shintre, Mayura Sule, Kalpana S. Joshi, Amrish P. Dedge, Ramachandra Bharadwaj, G. G. Gangadharan, Sreekumaran Nair, Puthiya M. Gopinath, Bhushan Patwardhan, Paturu Kondaiah, Kapaettu SatyamoorthyMarthanda Varma Sankaran Valiathan, Kumarasamy Thangaraj

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24 Citations (Scopus)

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.

Original languageEnglish
Article number15786
JournalScientific Reports
Volume5
DOIs
Publication statusPublished - 29-10-2015

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Single Nucleotide Polymorphism
Traditional Medicine
Genome
India
Precision Medicine
Principal Component Analysis
Phenotype
Population

All Science Journal Classification (ASJC) codes

  • General

Cite this

Govindaraj, P., Nizamuddin, S., Sharath, A., Jyothi, V., Rotti, H., Raval, R., ... Thangaraj, K. (2015). Genome-wide analysis correlates Ayurveda Prakriti. Scientific Reports, 5, [15786]. https://doi.org/10.1038/srep15786
Govindaraj, Periyasamy ; Nizamuddin, Sheikh ; Sharath, Anugula ; Jyothi, Vuskamalla ; Rotti, Harish ; Raval, Ritu ; Nayak, Jayakrishna ; Bhat, Balakrishna K. ; Prasanna, B. V. ; Shintre, Pooja ; Sule, Mayura ; Joshi, Kalpana S. ; Dedge, Amrish P. ; Bharadwaj, Ramachandra ; Gangadharan, G. G. ; Nair, Sreekumaran ; Gopinath, Puthiya M. ; Patwardhan, Bhushan ; Kondaiah, Paturu ; Satyamoorthy, Kapaettu ; Valiathan, Marthanda Varma Sankaran ; Thangaraj, Kumarasamy. / Genome-wide analysis correlates Ayurveda Prakriti. In: Scientific Reports. 2015 ; Vol. 5.
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Govindaraj, P, Nizamuddin, S, Sharath, A, Jyothi, V, Rotti, H, Raval, R, Nayak, J, Bhat, BK, Prasanna, BV, Shintre, P, Sule, M, Joshi, KS, Dedge, AP, Bharadwaj, R, Gangadharan, GG, Nair, S, Gopinath, PM, Patwardhan, B, Kondaiah, P, Satyamoorthy, K, Valiathan, MVS & Thangaraj, K 2015, 'Genome-wide analysis correlates Ayurveda Prakriti', Scientific Reports, vol. 5, 15786. https://doi.org/10.1038/srep15786

Genome-wide analysis correlates Ayurveda Prakriti. / Govindaraj, Periyasamy; Nizamuddin, Sheikh; Sharath, Anugula; Jyothi, Vuskamalla; Rotti, Harish; Raval, Ritu; Nayak, Jayakrishna; Bhat, Balakrishna K.; Prasanna, B. V.; Shintre, Pooja; Sule, Mayura; Joshi, Kalpana S.; Dedge, Amrish P.; Bharadwaj, Ramachandra; Gangadharan, G. G.; Nair, Sreekumaran; Gopinath, Puthiya M.; Patwardhan, Bhushan; Kondaiah, Paturu; Satyamoorthy, Kapaettu; Valiathan, Marthanda Varma Sankaran; Thangaraj, Kumarasamy.

In: Scientific Reports, Vol. 5, 15786, 29.10.2015.

Research output: Contribution to journalArticle

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T1 - Genome-wide analysis correlates Ayurveda Prakriti

AU - Govindaraj, Periyasamy

AU - Nizamuddin, Sheikh

AU - Sharath, Anugula

AU - Jyothi, Vuskamalla

AU - Rotti, Harish

AU - Raval, Ritu

AU - Nayak, Jayakrishna

AU - Bhat, Balakrishna K.

AU - Prasanna, B. V.

AU - Shintre, Pooja

AU - Sule, Mayura

AU - Joshi, Kalpana S.

AU - Dedge, Amrish P.

AU - Bharadwaj, Ramachandra

AU - Gangadharan, G. G.

AU - Nair, Sreekumaran

AU - Gopinath, Puthiya M.

AU - Patwardhan, Bhushan

AU - Kondaiah, Paturu

AU - Satyamoorthy, Kapaettu

AU - Valiathan, Marthanda Varma Sankaran

AU - Thangaraj, Kumarasamy

PY - 2015/10/29

Y1 - 2015/10/29

N2 - 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.

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Govindaraj P, Nizamuddin S, Sharath A, Jyothi V, Rotti H, Raval R et al. Genome-wide analysis correlates Ayurveda Prakriti. Scientific Reports. 2015 Oct 29;5. 15786. https://doi.org/10.1038/srep15786