Deep phenotyping and genomic data from a nationally representative study on dementia in India

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

doi:10.1038/s41597-023-01941-6

Deep phenotyping and genomic data from a nationally representative study on dementia in India

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 JoshiParvaiz 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

Bloomberg School of Public Health

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Article number	45
Journal	Scientific Data
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41597-023-01941-6
State	Published - Dec 2023

ASJC Scopus subject areas

Information Systems
Education
Library and Information Sciences
Statistics and Probability
Computer Science Applications
Statistics, Probability and Uncertainty

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Lee, J., Petrosyan, S., Khobragade, P., Banerjee, J., Chien, S., Weerman, B., Gross, A., Hu, P., Smith, J. A., Zhao, W., Aksman, L., Jain, U., Shanthi, G. S., Kurup, R., Raman, A., Chakrabarti, S. S., Gambhir, I. S., Varghese, M., John, J. P., ... Dey, A. B. (2023). Deep phenotyping and genomic data from a nationally representative study on dementia in India. Scientific Data, 10(1), Article 45. https://doi.org/10.1038/s41597-023-01941-6

Lee, J, Petrosyan, S, Khobragade, P, Banerjee, J, Chien, S, Weerman, B, Gross, A, Hu, P, Smith, JA, Zhao, W, Aksman, L, Jain, U, Shanthi, GS, Kurup, R, Raman, A, Chakrabarti, SS, Gambhir, IS, Varghese, M, John, JP, Joshi, H, Koul, PA, Goswami, D, Talukdar, A, Mohanty, RR, Yadati, YSR, Padmaja, M, Sankhe, L, Rajguru, C, Gupta, M, Kumar, G, Dhar, M, Jovicich, J, Ganna, A, Ganguli, M, Chatterjee, P, Singhal, S, Bansal, R, Bajpai, S, Desai, G, Bhatankar, S, Rao, AR, Sivakumar, PT, Muliyala, KP, Sinha, P, Loganathan, S, Meijer, E, Angrisani, M, Kim, JK, Dey, S, Arokiasamy, P, Bloom, DE, Toga, AW, Kardia, SLR, Langa, K, Crimmins, EM & Dey, AB 2023, 'Deep phenotyping and genomic data from a nationally representative study on dementia in India', Scientific Data, vol. 10, no. 1, 45. https://doi.org/10.1038/s41597-023-01941-6

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title = "Deep phenotyping and genomic data from a nationally representative study on dementia in India",

abstract = "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.",

author = "Jinkook Lee and Sarah Petrosyan and Pranali Khobragade and Joyita Banerjee and Sandy Chien and Bas Weerman and Alden Gross and Peifeng Hu and Smith, {Jennifer A.} and Wei Zhao and Leon Aksman and Urvashi Jain and Shanthi, {G. S.} and Ravi Kurup and Aruna Raman and Chakrabarti, {Sankha Shubhra} and Gambhir, {Indrajeet Singh} and Mathew Varghese and John, {John P.} and Himanshu Joshi and Koul, {Parvaiz A.} and Debabrata Goswami and Arunansu Talukdar and Mohanty, {Rashmi Ranjan} and Yadati, {Y. Sathyanarayana Raju} and Mekala Padmaja and Lalit Sankhe and Chhaya Rajguru and Monica Gupta and Govind Kumar and Minakshi Dhar and Jorge Jovicich and Andrea Ganna and Mary Ganguli and Prasun Chatterjee and Sunny Singhal and Rishav Bansal and Swati Bajpai and Gaurav Desai and Swaroop Bhatankar and Rao, {Abhijith R.} and Sivakumar, {Palanimuthu T.} and Muliyala, {Krishna Prasad} and Preeti Sinha and Santosh Loganathan and Erik Meijer and Marco Angrisani and Kim, {Jung Ki} and Sharmistha Dey and Perianayagam Arokiasamy and Bloom, {David E.} and Toga, {Arthur W.} and Kardia, {Sharon L.R.} and Kenneth Langa and Crimmins, {Eileen M.} and Dey, {Aparajit B.}",

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doi = "10.1038/s41597-023-01941-6",

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AU - Lee, Jinkook

AU - Petrosyan, Sarah

AU - Khobragade, Pranali

AU - Banerjee, Joyita

AU - Chien, Sandy

AU - Weerman, Bas

AU - Gross, Alden

AU - Hu, Peifeng

AU - Smith, Jennifer A.

AU - Zhao, Wei

AU - Aksman, Leon

AU - Jain, Urvashi

AU - Shanthi, G. S.

AU - Kurup, Ravi

AU - Raman, Aruna

AU - Chakrabarti, Sankha Shubhra

AU - Gambhir, Indrajeet Singh

AU - Varghese, Mathew

AU - John, John P.

AU - Joshi, Himanshu

AU - Koul, Parvaiz A.

AU - Goswami, Debabrata

AU - Talukdar, Arunansu

AU - Mohanty, Rashmi Ranjan

AU - Yadati, Y. Sathyanarayana Raju

AU - Padmaja, Mekala

AU - Sankhe, Lalit

AU - Rajguru, Chhaya

AU - Gupta, Monica

AU - Kumar, Govind

AU - Dhar, Minakshi

AU - Jovicich, Jorge

AU - Ganna, Andrea

AU - Ganguli, Mary

AU - Chatterjee, Prasun

AU - Singhal, Sunny

AU - Bansal, Rishav

AU - Bajpai, Swati

AU - Desai, Gaurav

AU - Bhatankar, Swaroop

AU - Rao, Abhijith R.

AU - Sivakumar, Palanimuthu T.

AU - Muliyala, Krishna Prasad

AU - Sinha, Preeti

AU - Loganathan, Santosh

AU - Meijer, Erik

AU - Angrisani, Marco

AU - Kim, Jung Ki

AU - Dey, Sharmistha

AU - Arokiasamy, Perianayagam

AU - Bloom, David E.

AU - Toga, Arthur W.

AU - Kardia, Sharon L.R.

AU - Langa, Kenneth

AU - Crimmins, Eileen M.

AU - Dey, Aparajit B.

PY - 2023/12

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N2 - 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.

AB - 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.

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ER -

Deep phenotyping and genomic data from a nationally representative study on dementia in India

Abstract

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