Deep phenotyping and genomic data from a nationally representative study on dementia in India
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Published:2023-01-20
Issue:1
Volume:10
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Lee Jinkook, Petrosyan Sarah, Khobragade Pranali, Banerjee Joyita, Chien Sandy, Weerman Bas, Gross Alden, Hu Peifeng, Smith Jennifer A.ORCID, Zhao Wei, Aksman LeonORCID, Jain UrvashiORCID, Shanthi G. S., Kurup Ravi, Raman Aruna, Chakrabarti Sankha Shubhra, Gambhir Indrajeet Singh, Varghese Mathew, John John P., Joshi Himanshu, Koul Parvaiz A., Goswami Debabrata, Talukdar Arunansu, Mohanty Rashmi Ranjan, Yadati Y. Sathyanarayana Raju, Padmaja Mekala, Sankhe Lalit, Rajguru Chhaya, Gupta MonicaORCID, Kumar Govind, Dhar Minakshi, Jovicich Jorge, Ganna Andrea, Ganguli Mary, Chatterjee Prasun, Singhal Sunny, Bansal Rishav, Bajpai Swati, Desai Gaurav, Bhatankar Swaroop, Rao Abhijith R., Sivakumar Palanimuthu T., Muliyala Krishna Prasad, Sinha Preeti, Loganathan Santosh, Meijer ErikORCID, Angrisani Marco, Kim Jung Ki, Dey Sharmistha, Arokiasamy Perianayagam, Bloom David E., Toga Arthur W., Kardia Sharon L. R., Langa Kenneth, Crimmins Eileen M., Dey Aparajit B.
Abstract
AbstractThe 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.
Funder
U.S. Department of Health & Human Services | NIH | National Institute on Aging
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference35 articles.
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