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Deep phenotyping and genomic data from a nationally representative study on dementia in India
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 I...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852797/ https://www.ncbi.nlm.nih.gov/pubmed/36670106 http://dx.doi.org/10.1038/s41597-023-01941-6 |
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| author | 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 Bloom, David E. Toga, Arthur W. Kardia, Sharon L. R. Langa, Kenneth Crimmins, Eileen M. Dey, Aparajit B. |
| author_facet | 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 Bloom, David E. Toga, Arthur W. Kardia, Sharon L. R. Langa, Kenneth Crimmins, Eileen M. Dey, Aparajit B. |
| author_sort | Lee, Jinkook |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-9852797 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-98527972023-01-20 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 Bloom, David E. Toga, Arthur W. Kardia, Sharon L. R. Langa, Kenneth Crimmins, Eileen M. Dey, Aparajit B. Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-01-20 /pmc/articles/PMC9852797/ /pubmed/36670106 http://dx.doi.org/10.1038/s41597-023-01941-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Data Descriptor 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 Bloom, David E. Toga, Arthur W. Kardia, Sharon L. R. Langa, Kenneth Crimmins, Eileen M. Dey, Aparajit B. Deep phenotyping and genomic data from a nationally representative study on dementia in India |
| title | Deep phenotyping and genomic data from a nationally representative study on dementia in India |
| title_full | Deep phenotyping and genomic data from a nationally representative study on dementia in India |
| title_fullStr | Deep phenotyping and genomic data from a nationally representative study on dementia in India |
| title_full_unstemmed | Deep phenotyping and genomic data from a nationally representative study on dementia in India |
| title_short | Deep phenotyping and genomic data from a nationally representative study on dementia in India |
| title_sort | deep phenotyping and genomic data from a nationally representative study on dementia in india |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852797/ https://www.ncbi.nlm.nih.gov/pubmed/36670106 http://dx.doi.org/10.1038/s41597-023-01941-6 |
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