Browsing by Author "Prasun Chatterjee"

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50,000 years of evolutionary history of India: Impact on health and disease variation
(Elsevier B.V., 2025) Élise Kerdoncuff; Laurits Skov; Nick J. Patterson; Joyita Banerjee; Pranali Yogiraj Khobragade; Sankha Shubhra Chakrabarti; Avinash Chakrawarty; Prasun Chatterjee; Minakshi Dhar; Monica Gupta; John P. John; Parvaiz A. Koul; Sarabmeet Singh Lehl; Rashmi Ranjan Mohanty; Mekala Padmaja; Arokiasamy Perianayagam; Chhaya Rajguru; Lalit Raghunath Sankhe; Arunansu Talukdar; Mathew Varghese; Sathyanarayana Raju Yadati; Wei Zhao; Yuk Yee Leung; Gerard D. Schellenberg; Yi Zhe Wang; Jennifer A. Smith; Sharmistha Dey; Andrea Ganna; Aparajita Ballav Dey; Sharon L.R. Kardia; Jinkook Lee; Priya G. Moorjani
India has been underrepresented in genomic surveys. We generated whole-genome sequences from 2,762 individuals in India, capturing the genetic diversity across most geographic regions, linguistic groups, and historically underrepresented communities. We find most Indians harbor ancestry primarily from three ancestral groups: South Asian hunter-gatherers, Eurasian Steppe pastoralists, and Neolithic farmers related to Iranian and Central Asian cultures. The extensive homozygosity and identity-by-descent sharing among individuals reflects strong founder events due to a recent shift toward endogamy. We uncover that most of the genetic variation in Indians stems from a single major migration out of Africa that occurred around 50,000 years ago, followed by 1%–2% gene flow from Neanderthals and Denisovans. Notably, Indians exhibit the largest variation and possess the highest amount of population-specific Neanderthal ancestry segments among worldwide groups. Finally, we discuss how this complex evolutionary history has shaped the functional and disease variation on the subcontinent. © 2025 The Authors
Deep phenotyping and genomic data from a nationally representative study on dementia in India
(Nature Research, 2023) Jinkook Lee; Sarah Petrosyan; Pranali Khobragade; Joyita Banerjee; Sandy Chien; Bas Weerman; Alden Gross; Peifeng Hu; Jennifer A. Smith; Wei Zhao; Leon Aksman; Urvashi Jain; G.S. Shanthi; Ravi Kurup; Aruna Raman; Sankha Shubhra Chakrabarti; Indrajeet Singh Gambhir; Mathew Varghese; John P. John; Himanshu Joshi; Parvaiz A. Koul; Debabrata Goswami; Arunansu Talukdar; Rashmi Ranjan Mohanty; Y. Sathyanarayana Raju Yadati; Mekala Padmaja; Lalit Sankhe; Chhaya Rajguru; Monica Gupta; Govind Kumar; Minakshi Dhar; Jorge Jovicich; Andrea Ganna; Mary Ganguli; Prasun Chatterjee; Sunny Singhal; Rishav Bansal; Swati Bajpai; Gaurav Desai; Swaroop Bhatankar; Abhijith R. Rao; Palanimuthu T. Sivakumar; Krishna Prasad Muliyala; Preeti Sinha; Santosh Loganathan; Erik Meijer; Marco Angrisani; Jung Ki Kim; Sharmistha Dey; Perianayagam Arokiasamy; David E. Bloom; Arthur W. Toga; Sharon L. R. Kardia; Kenneth Langa; Eileen M. Crimmins; Aparajit B. Dey
The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is a nationally representative in-depth study of cognitive aging and dementia. We present a publicly available dataset of harmonized cognitive measures of 4,096 adults 60 years of age and older in India, collected across 18 states and union territories. Blood samples were obtained to carry out whole blood and serum-based assays. Results are included in a venous blood specimen datafile that can be linked to the Harmonized LASI-DAD dataset. A global screening array of 960 LASI-DAD respondents is also publicly available for download, in addition to neuroimaging data on 137 LASI-DAD participants. Altogether, these datasets provide comprehensive information on older adults in India that allow researchers to further understand risk factors associated with cognitive impairment and dementia. © 2023, The Author(s).
Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (LASI–DAD)
(Routledge, 2019) Joyita Banerjee; Urvashi Jain; Pranali Khobragade; Bas Weerman; Peifeng Hu; Sandy Chien; Sharmistha Dey; Prasun Chatterjee; Judith Saxton; Brenton Keller; Eileen Crimmins; Arthur Toga; Arvind Jain; G.S. Shanthi; Ravi Kurup; Aruna Raman; Sankha Shubhra Chakrabarti; Mathew Varghese; John P. John; Himanshu Joshi; Parvaiz Koul; Debabrata Goswami; Arunanshu Talukdar; Rashmi Ranjan Mohanty; Y. Sathyanarayana Raju Yadati; Mekala Padmaja; Lalit Sankhe; Sarang Pedgaonkar; Perianayagam Arokiasamy; David E. Bloom; Kenneth Langa; Jorge Jovicich; Aparajit Ballav Dey; Jinkook Lee; Indrajeet Singh Gambhir; Chhaya Rajguru
The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI–DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized Cognitive Assessment Protocol (HCAP). LASI–DAD provides nationally representative data drawn from a subsample of the ongoing Longitudinal Aging Study in India (LASI). One of LASI–DAD’s distinctive features is its rich geriatric assessment, including the collection of venous blood samples and brain imaging data for a subsample of respondents. In this paper, we discuss the methodological considerations of developing and implementing the HCAP protocol in India. The lessons we learned from translating and applying the HCAP protocol in an environment where illiteracy and innumeracy are high will provide important insights to researchers interested in measuring and collecting data on late-life cognition and dementia in developing countries. We further developed an innovative blood management system that enables us to follow the collection, transportation, assay, and storage of samples. Such innovation can benefit other population surveys collecting biomarker data. © 2020 Society for Biodemography and Social Biology.
Prevalence of dementia in India: National and state estimates from a nationwide study
(John Wiley and Sons Inc, 2023) Jinkook Lee; Erik Meijer; Kenneth M. Langa; Mary Ganguli; Mathew Varghese; Joyita Banerjee; Pranali Khobragade; Marco Angrisani; Ravi Kurup; Sankha Shubhra Chakrabarti; Indrajeet Singh Gambhir; Parvaiz A. Koul; Debabrata Goswami; Arunanshu Talukdar; Rashmi Ranjan Mohanty; Raju Sathyanarayana Yadati; Mekala Padmaja; Lalit Sankhe; Chhaya Rajguru; Monica Gupta; Govind Kumar; Minakshi Dhar; Prasun Chatterjee; Sunny Singhal; Rishav Bansal; Swati Bajpai; Gaurav Desai; Abhijith R. Rao; Palanimuthu T. Sivakumar; Krishna Prasad Muliyala; Swaroop Bhatankar; Aparajita Chattopadhyay; Dipti Govil; Sarang Pedgaonkar; T.V. Sekher; David E. Bloom; Eileen M. Crimmins; Aparajit Ballav Dey
Introduction: Prior estimates of dementia prevalence in India were based on samples from selected communities, inadequately representing the national and state populations. Methods: From the Longitudinal Aging Study in India (LASI) we recruited a sample of adults ages 60+ and administered a rich battery of neuropsychological tests and an informant interview in 2018 through 2020. We obtained a clinical consensus rating of dementia status for a subsample (N = 2528), fitted a logistic model for dementia status on this subsample, and then imputed dementia status for all other LASI respondents aged 60+ (N = 28,949). Results: The estimated dementia prevalence for adults ages 60+ in India is 7.4%, with significant age and education gradients, sex and urban/rural differences, and cross-state variation. Discussion: An estimated 8.8 million Indians older than 60 years have dementia. The burden of dementia cases is unevenly distributed across states and subpopulations and may therefore require different levels of local planning and support. Highlights: The estimated dementia prevalence for adults ages 60+ in India is 7.4%. About 8.8 million Indians older than 60 years live with dementia. Dementia is more prevalent among females than males and in rural than urban areas. Significant cross-state variation exists in dementia prevalence. © 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.