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

被引:0
|
作者
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
机构
[1] University of Southern California,Center for Economic and Social Research
[2] All India Institute of Medical Sciences,Department of Geriatric Medicine
[3] Johns Hopkins Bloomberg School of Public Health,Department of Epidemiology
[4] University of California,Division of Geriatric Medicine
[5] Los Angeles,Department of Epidemiology, School of Public Health
[6] University of Michigan,Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute
[7] University of Southern California,Department of Economics, Finance and Real Estate
[8] University of South Alabama,Department of Geriatric Medicine
[9] Madras Medical College,Department of Medicine
[10] Government Medical College,Department of Geriatric Medicine, Institute of Medical Sciences
[11] Banaras Hindu University,Department of Psychiatry
[12] National Institute of Mental Health and Neurosciences,Department of Internal and Pulmonary Medicine
[13] Sher-e-Kashmir Institute of Medical Sciences,Department of Medicine
[14] Guwahati Medical College,Department of Geriatric Medicine
[15] Medical College,Department of Medicine
[16] All India Institute of Medical Sciences,Department of Medicine
[17] Nizam’s Institute of Medical Sciences,Department of Community Medicine
[18] Grant Medical College and J.J. Hospital,Department of General Medicine
[19] Government Medical College and Hospital,Department of Medicine
[20] Department of Medicine Indira Gandhi Institute of Medical Sciences,Center for Mind/Brain Sciences
[21] All India Institute of Medical Sciences,Finnish Institute of Molecular Medicine
[22] University of Trento,Department of Psychiatry
[23] University of Helsinki,School of Gerontology
[24] University of Pittsburgh,Department of Biophysics
[25] Institute of Psychological Health,Department of Development Studies
[26] University of Southern California,Department of Global Health and Population
[27] All India Institute of Medical Sciences,Department of Internal Medicine
[28] International Institute for Population Sciences,undefined
[29] Harvard T.H. Chan School of Public Health,undefined
[30] University of Michigan,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [1] Deep phenotyping and genomic data from a nationally representative study on dementia in India
    Lee, Jinkook
    Petrosyan, Sarah
    Khobragade, Pranali
    Banerjee, Joyita
    Chien, Sandy
    Weerman, Bas
    Gross, Alden
    Hu, Peifeng
    Smith, Jennifer A.
    Zhao, Wei
    Aksman, Leon
    Jain, Urvashi
    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, Monica
    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, Erik
    Angrisani, Marco
    Kim, Jung Ki
    Dey, Sharmistha
    Arokiasamy, Perianayagam
    SCIENTIFIC DATA, 2023, 10 (01)
  • [2] Nationally representative epidemiological study of social anxiety disorder from India
    Suhas, Satish
    Jayasankar, Pavithra
    Patley, Rahul
    Manjunatha, Narayana
    Rao, Girish N.
    Gururaj, Gopalkrishna
    Varghese, Mathew
    Benegal, Vivek
    INDIAN JOURNAL OF PSYCHIATRY, 2023, 65 (12) : 1261 - 1268
  • [3] Physical violence and its associations: Insights from nationally representative data in India
    Mary, P. Monisha
    Jacob, Ankeeta Menona
    Shetty, Avinash K.
    WOMENS HEALTH, 2025, 21
  • [5] The UK Biobank resource with deep phenotyping and genomic data
    Bycroft, Clare
    Freeman, Colin
    Petkova, Desislava
    Band, Gavin
    Elliott, Lloyd T.
    Sharp, Kevin
    Motyer, Allan
    Vukcevic, Damjan
    Delaneau, Olivier
    O'Connell, Jared
    Cortes, Adrian
    Welsh, Samantha
    Young, Alan
    Effingham, Mark
    McVean, Gil
    Leslie, Stephen
    Allen, Naomi
    Donnelly, Peter
    Marchini, Jonathan
    NATURE, 2018, 562 (7726) : 203 - +
  • [6] The UK Biobank resource with deep phenotyping and genomic data
    Clare Bycroft
    Colin Freeman
    Desislava Petkova
    Gavin Band
    Lloyd T. Elliott
    Kevin Sharp
    Allan Motyer
    Damjan Vukcevic
    Olivier Delaneau
    Jared O’Connell
    Adrian Cortes
    Samantha Welsh
    Alan Young
    Mark Effingham
    Gil McVean
    Stephen Leslie
    Naomi Allen
    Peter Donnelly
    Jonathan Marchini
    Nature, 2018, 562 : 203 - 209
  • [7] Environmental impacts of dietary shifts in India: A modelling study using nationally-representative data
    Aleksandrowicz, L.
    Green, R.
    Joy, E. J. M.
    Harris, F.
    Hillier, J.
    Vetter, S. H.
    Smith, P.
    Kulkarni, B.
    Dangour, A. D.
    Haines, A.
    ENVIRONMENT INTERNATIONAL, 2019, 126 : 207 - 215
  • [8] Trends in alcohol consumption and expenditure: Analysis of household data from nationally representative sample from India
    Sood, Akash
    Mishra, Ashwani
    Ambekar, Atul
    ASIAN JOURNAL OF PSYCHIATRY, 2019, 40 : 116 - 123
  • [9] Language capital and grade repetition: evidence from nationally-representative survey data in India
    Tagat, Anirudh
    Samaddar, Bijoyetri
    EDUCATION ECONOMICS, 2025,
  • [10] The state of postpartum contraceptive use in India: descriptive lessons from nationally representative survey data
    Johns, Nicole E.
    Singh, Abhishek
    Ambast, Shruti
    Bhan, Nandita
    Hay, Katherine
    Patwardhan, Vedavati
    Mcdougal, Lotus
    REPRODUCTIVE HEALTH, 2025, 22 (01)