title: Ayurgenomics for stratified medicine: TRISUTRA consortium initiative across ethnically and geographically diverse Indian populations.
abstract: BACKGROUND
  Genetic differences in the target proteins, metabolizing enzymes and transporters that contribute to inter-individual differences in drug response are not integrated in contemporary drug development programs. Ayurveda, that has propelled many drug discovery programs albeit for the search of new chemical entities incorporates inter-individual variability "Prakriti" in development and administration of drug in an individualized manner. Prakriti of an individual largely determines responsiveness to external environment including drugs as well as susceptibility to diseases. Prakriti has also been shown to have molecular and genomic correlates. We highlight how integration of Prakriti concepts can augment the efficiency of drug discovery and development programs through a unique initiative of Ayurgenomics TRISUTRA consortium.
  
  
  METHODS
  Five aspects that have been carried out are (1) analysis of variability in FDA approved pharmacogenomics genes/SNPs in exomes of 72 healthy individuals including predominant Prakriti types and matched controls from a North Indian Indo-European cohort (2) establishment of a consortium network and development of five genetically homogeneous cohorts from diverse ethnic and geo-climatic background (3) identification of parameters and development of uniform standard protocols for objective assessment of Prakriti types (4) development of protocols for Prakriti evaluation and its application in more than 7500 individuals in the five cohorts (5) Development of data and sample repository and integrative omics pipelines for identification of genomic correlates.
  
  
  RESULTS
  Highlight of the study are (1) Exome sequencing revealed significant differences between Prakriti types in 28 SNPs of 11 FDA approved genes of pharmacogenomics relevance viz. CYP2C19, CYP2B6, ESR1, F2, PGR, HLA-B, HLA-DQA1, HLA-DRB1, LDLR, CFTR, CPS1. These variations are polymorphic in diverse Indian and world populations included in 1000 genomes project. (2) Based on the phenotypic attributes of Prakriti we identified anthropometry for anatomical features, biophysical parameters for skin types, HRV for autonomic function tests, spirometry for vital capacity and gustometry for taste thresholds as objective parameters. (3) Comparison of Prakriti phenotypes across different ethnic, age and gender groups led to identification of invariant features as well as some that require weighted considerations across the cohorts.
  
  
  CONCLUSIONS
  Considering the molecular and genomics differences underlying Prakriti and relevance in disease pharmacogenomics studies, this novel integrative platform would help in identification of differently susceptible and drug responsive population. Additionally, integrated analysis of phenomic and genomic variations would not only allow identification of clinical and genomic markers of Prakriti for application in personalized medicine but also its integration in drug discovery and development programs.
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Genomics and Molecular Medicine & CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative research, CSIR-IGIB, Delhi, India. Electronic address: bhavana.p@igib.res.in.
authors.forename: Bhavana
authors.initials: B
authors.lastname: Prasher
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Binuja
authors.initials: B
authors.lastname: Varma
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Arvind
authors.initials: A
authors.lastname: Kumar
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Bharat Krushna
authors.initials: BK
authors.lastname: Khuntia
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Rajesh
authors.initials: R
authors.lastname: Pandey
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Ankita
authors.initials: A
authors.lastname: Narang
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative research, CSIR-IGIB, Delhi, India.
authors.forename: Pradeep
authors.initials: P
authors.lastname: Tiwari
authors.affiliation: G.N.Ramachandran Knowledge Centre for Genome Informatics, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative research, CSIR-IGIB, Delhi, India.
authors.forename: Rintu
authors.initials: R
authors.lastname: Kutum
authors.affiliation: Genomics and Molecular Medicine & CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Debleena
authors.initials: D
authors.lastname: Guin
authors.affiliation: Genomics and Molecular Medicine & CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India.
authors.forename: Ritushree
authors.initials: R
authors.lastname: Kukreti
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; G.N.Ramachandran Knowledge Centre for Genome Informatics, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative research, CSIR-IGIB, Delhi, India.
authors.forename: Debasis
authors.initials: D
authors.lastname: Dash
authors.affiliation: CSIR Ayurgenomics Unit- TRISUTRA, CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Genomics and Molecular Medicine & CSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110020, India; Academy of Scientific & Innovative research, CSIR-IGIB, Delhi, India. Electronic address: mitali@igib.res.in.
authors.forename: Mitali
authors.initials: M
authors.lastname: Mukerji
mesh_terms: D044466:Asian People; D055808:Drug Discovery / Q000379:methods; D023281:Genomics / Q000379:methods; D006801:Humans; D007194:India; D008515:Medicine, Ayurvedic; D010597:Pharmacogenetics / Q000379:methods; D010936:Plant Extracts / Q000627:therapeutic use*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D057285:Precision Medicine / Q000379:methods
chemical_list: D010936:Plant Extracts
keywords: Ayurgenomics; Drug discovery and development; P4 medicine; Pharmacogenomics; Prakriti; Stratified medicine; Tridosha