Page 22 - Biennial Report 2018-20 Jun 2021
P. 22

establishment of the etiology in a significant proportion of families that will have implications
                  for management, prognostication, and family planning.


                  PHARMACOGENOMIC ASSAY PANELS FOR DRUG RESPONSE AND ADVERSE
                  DRUG REACTION



                  In several complex diseases like neurological diseases  (epilepsy,  Parkinson’s disease and
                  Alzheimer’s disease), psychiatric diseases (schizophrenia and major depressive disorder) and
                  respiratory diseases like  interstitial lung disease,  inter-individual  variability  in treatment
                  response  can provide valuable information in  prescribing the most  effective drug.
                  Pharmacogenomics is an area of genomics wherein, the relation between drug metabolism,
                  efficacy and genetic  variation is tapped  into, for supporting clinicians. In order to screen
                  pharmacogenomics  markers specific to Indian population  that can further be directed for
                  targeted treatment with effective therapeutic management, specific genetic variants, associated
                  with variable drug response, will be screened at IGIB by Ritushree Kukreti and group, enabling
                  optimization of treatment strategies, reduced healthcare costs with respect to adverse drug
                  reactions and poor response to pharmacotherapy.  Hence, implementation  of genotyping of
                  pharmacogenetic biomarkers associated with drug response in the clinical practice will help
                  physicians to give a more individualized and effective design for drug treatment for an individual.
                  Primarily, the focus is on highly curated epilepsy patients and control samples, in which 1500
                  samples have been collected in collaboration with the clinicians from the respective centers in
                  earlier research projects. These samples with their detailed clinical and demographic profiling
                  have been sub-typed into different disease and drug response phenotypes. Currently, the follow
                  up response of these patients are being managed and a detailed clinical profile of the patients
                  with the follow up are recorded for their clinical profiling, demographics and drug response
                  parameters. Population-specific genetic variants associated with variable drug response would
                  be screened using a commercially available bead chip array  called Illumina Infinium Global
                  Screening  Array  (GSA).  GSA contains  a comprehensive  range  of  multi-ethnic  genome-wide
                  content, for precision medicine research. The genotype phenotype relations will be then
                  correlated among the different drug groups and the different drug response subgroups. Further,
                  in this study, few samples would be additionally recruited as a replication cohort to validate the
                  already identified markers. For this, ethical clearance has been received from AIIMS and Asthma
                  Bhawan, Jaipur. Genetic  markers with significant statistical  association will be then used  to
                  develop the pharmacogenetic test for screening patient response. The identification of drug-
                  specific biomarkers, which can help in determining  drug toxicity, therapeutic  response, and
                  treatment management, is expected.



                  PHARMACOGENOMICS OF MAJOR DEPRESSIVE DISORDER


                  Depression is a common disease across the world with widely varying estimates of prevalence,
                  depending on the country, age, and gender. A recent estimate by the World Health Organization
                  reveals although India matches the global average in prevalence, due to its large population size,
                  it has the largest number of patients living with depression. India has a large burden of disease

                                                           21
   17   18   19   20   21   22   23   24   25   26   27