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

Sci Data. 2023 Jan 20;10(1):45. doi: 10.1038/s41597-023-01941-6.

Authors

Jinkook Lee¹, Sarah Petrosyan², Pranali Khobragade², Joyita Banerjee³, Sandy Chien², Bas Weerman², Alden Gross⁴, Peifeng Hu⁵, Jennifer A Smith⁶, Wei Zhao⁶, Leon Aksman⁷, Urvashi Jain⁸, G S Shanthi⁹, Ravi Kurup¹⁰, Aruna Raman¹⁰, Sankha Shubhra Chakrabarti¹¹, Indrajeet Singh Gambhir¹¹, Mathew Varghese¹², John P John¹², Himanshu Joshi¹², Parvaiz A Koul¹³, Debabrata Goswami¹⁴, Arunansu Talukdar¹⁵, Rashmi Ranjan Mohanty¹⁶, Y Sathyanarayana Raju Yadati¹⁷, Mekala Padmaja¹⁷, Lalit Sankhe¹⁸, Chhaya Rajguru¹⁸, Monica Gupta¹⁹, Govind Kumar²⁰, Minakshi Dhar²¹, Jorge Jovicich²², Andrea Ganna²³, Mary Ganguli²⁴, Prasun Chatterjee³, Sunny Singhal³, Rishav Bansal³, Swati Bajpai³, Gaurav Desai³, Swaroop Bhatankar²⁵, Abhijith R Rao³, Palanimuthu T Sivakumar¹², Krishna Prasad Muliyala¹², Preeti Sinha¹², Santosh Loganathan¹², Erik Meijer², Marco Angrisani², Jung Ki Kim²⁶, Sharmistha Dey²⁷, Perianayagam Arokiasamy²⁸, David E Bloom²⁹, Arthur W Toga⁷, Sharon L R Kardia⁶, Kenneth Langa³⁰, Eileen M Crimmins²⁶, Aparajit B Dey³

Affiliations

¹ Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA. jinkookl@usc.edu.
² Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
³ Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India.
⁴ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
⁵ Division of Geriatric Medicine, University of California, Los Angeles, Los Angeles, California, USA.
⁶ Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
⁷ Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.
⁸ Department of Economics, Finance and Real Estate, University of South Alabama, Mobile, USA.
⁹ Department of Geriatric Medicine, Madras Medical College, Chennai, India.
¹⁰ Department of Medicine, Government Medical College, Thiruvananthapuram, India.
¹¹ Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
¹² Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India.
¹³ Department of Internal and Pulmonary Medicine, Sher-e-Kashmir Institute of Medical Sciences, Srinagar, India.
¹⁴ Department of Medicine, Guwahati Medical College, Guwahati, India.
¹⁵ Department of Geriatric Medicine, Medical College, Kolkata, India.
¹⁶ Department of Medicine, All India Institute of Medical Sciences, Bhubaneshwar, India.
¹⁷ Department of Medicine, Nizam's Institute of Medical Sciences, Hyderabad, India.
¹⁸ Department of Community Medicine, Grant Medical College and J.J. Hospital, Mumbai, India.
¹⁹ Department of General Medicine, Government Medical College and Hospital, Chandigarh, India.
²⁰ Department of Medicine Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
²¹ Department of Medicine, All India Institute of Medical Sciences, Rishikesh, India.
²² Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy.
²³ Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland.
²⁴ Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
²⁵ Institute of Psychological Health, Mumbai, India.
²⁶ School of Gerontology, University of Southern California, Los Angeles, CA, USA.
²⁷ Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
²⁸ Department of Development Studies, International Institute for Population Sciences, Mumbai, India.
²⁹ Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
³⁰ Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

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.

Publication types

Dataset

MeSH terms

Aged
Aging
Cognitive Dysfunction*
Dementia* / genetics
Genomics
Humans
India
Longitudinal Studies

Abstract

Publication types

MeSH terms

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