Genome-wide analysis correlates Ayurveda Prakriti.
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.
CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
Periyasamy
P
Govindaraj
CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
Sheikh
S
Nizamuddin
CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
Anugula
A
Sharath
CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
Vuskamalla
V
Jyothi
School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Harish
H
Rotti
School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Ritu
R
Raval
Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Jayakrishna
J
Nayak
Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Balakrishna K
BK
Bhat
Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
B V
BV
Prasanna
Sinhgad College of Engineering, Pune, Maharashtra, India.
Pooja
P
Shintre
Sinhgad College of Engineering, Pune, Maharashtra, India.
Mayura
M
Sule
Sinhgad College of Engineering, Pune, Maharashtra, India.
Kalpana S
KS
Joshi
Sinhgad College of Engineering, Pune, Maharashtra, India.
Amrish P
AP
Dedge
Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India.
Ramachandra
R
Bharadwaj
Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India.
G G
GG
Gangadharan
Department of Statistics, Manipal University, Manipal, Karnataka, India.
Sreekumaran
S
Nair
School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Puthiya M
PM
Gopinath
Interdisciplinary School of Health Sciences, University of Pune, Pune, Maharashtra, India.
Bhushan
B
Patwardhan
Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, Karnataka, India.
Paturu
P
Kondaiah
School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Kapaettu
K
Satyamoorthy
School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Marthanda Varma Sankaran
MV
Valiathan
CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
Kumarasamy
K
Thangaraj
D005260:Female; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D008515:Medicine, Ayurvedic; D010733:Phosphoglucomutase / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide
C488050:PGM1 protein, human; D010733:Phosphoglucomutase