Rajan, R and Divya, KP and Kandadai, RM and Yadav, R and Satagopam, VP and Madhusoodanan, UK and Agarwal, P and Kumar, N and Ferreira, T and Kumar, H and Prasad, AVS and Shetty, K and Mehta, S and Desai, S and Kumar, S and Prashanth, LK and Bhatt, M and Wadia, P and Ramalingam, S and Wali, GM and Pandey, S and Bartusch, F and Hannussek, M and Kruger, J and Sreelatha, AK and Grover, S and Lichtner, P and Sturm, M and Roeper, J and Busskamp, V and Chandak, GR and Schwamborn, J and Seth, Pankaj and Gasser, T and Riess, O and Goyal, V and Pal, Pramod and Borgohain, R and Kruger, R and Kishore, A and Sharma, M and Consortium, LG (2020) Genetic Architecture of Parkinson's Disease in the Indian Population: Harnessing Genetic Diversity to Address Critical Gaps in Parkinson's Disease Research. Front Neurol, 11 (524).

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Abstract

Over the past two decades, our understanding of Parkinson's disease (PD) has been gleaned from the discoveries made in familial and/or sporadic forms of PD in the Caucasian population. The transferability and the clinical utility of genetic discoveries to other ethnically diverse populations are unknown. The Indian population has been under-represented in PD research. The Genetic Architecture of PD in India (GAP-India) project aims to develop one of the largest clinical/genomic bio-bank for PD in India. Specifically, GAP-India project aims to: (1) develop a pan-Indian deeply phenotyped clinical repository of Indian PD patients; (2) perform whole-genome sequencing in 500 PD samples to catalog Indian genetic variability and to develop an Indian PD map for the scientific community; (3) perform a genome-wide association study to identify novel loci for PD and (4) develop a user-friendly web-portal to disseminate results for the scientific community. Our "hub-spoke" model follows an integrative approach to develop a pan-Indian outreach to develop a comprehensive cohort for PD research in India. The alignment of standard operating procedures for recruiting patients and collecting biospecimens with international standards ensures harmonization of data/bio-specimen collection at the beginning and also ensures stringent quality control parameters for sample processing. Data sharing and protection policies follow the guidelines established by local and national authorities.We are currently in the recruitment phase targeting recruitment of 10,200 PD patients and 10,200 healthy volunteers by the end of 2020. GAP-India project after its completion will fill a critical gap that exists in PD research and will contribute a comprehensive genetic catalog of the Indian PD population to identify novel targets for PD.

Item Type:	Article
Subjects:	Neurodegenerative Disorders Neuro-Oncological Disorders Neurocognitive Processes Neuronal Development and Regeneration Informatics and Imaging Genetics and Molecular Biology
Depositing User:	Dr. D.D. Lal
Date Deposited:	14 Jul 2020 05:55
Last Modified:	21 Feb 2022 06:47
URI:	http://nbrc.sciencecentral.in/id/eprint/699

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