Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Cathie, Sudlow"'
Autor:
Samantha Ip, Teri-Louise North, Fatemeh Torabi, Yangfan Li, Hoda Abbasizanjani, Ashley Akbari, Elsie Horne, Rachel Denholm, Spencer Keene, Spiros Denaxas, Amitava Banerjee, Kamlesh Khunti, Cathie Sudlow, William N. Whiteley, Jonathan A. C. Sterne, Angela M. Wood, Venexia Walker, the CVD-COVID-UK/COVID-IMPACT Consortium, the Longitudinal Health and Wellbeing COVID-19 National Core Study
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract The first dose of COVID-19 vaccines led to an overall reduction in cardiovascular events, and in rare cases, cardiovascular complications. There is less information about the effect of second and booster doses on cardiovascular diseases. Usi
Externí odkaz:
https://doaj.org/article/052e36317f5c4d439d7c055112d7de12
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Generation Scotland (GS) is a family-based genetic epidemiology study. Initial recruitment between 2006-11 recruited ~24,000 adults from ~7000 families across Scotland with consent for medical record linkage and re-contact. In 2022 we bega
Externí odkaz:
https://doaj.org/article/2eb83511283740519133bfa483e0be3c
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Generation Scotland (GS) is a family-based genetic epidemiology study. Initial recruitment was ~24,000 adult volunteers from across Scotland in 2006-11 with consent for medical record linkage and re-contact. In 2022 we began recruiting ano
Externí odkaz:
https://doaj.org/article/8e6cbd2892a14631a798e06643d9a767
Autor:
Ashkan Dashtban, Mehrdad A. Mizani, Laura Pasea, Christopher Tomlinson, Yi Mu, Nazrul Islam, Sarah Rafferty, Charlotte Warren-Gash, Spiros Denaxas, Kim Horstmanshof, Evangelos Kontopantelis, Steffen Petersen, Cathie Sudlow, Kamlesh Khunti, Amitava Banerjee
Publikováno v:
International Journal of Infectious Diseases, Vol 146, Iss , Pp 107155- (2024)
Objective: To identify highest-risk subgroups for COVID-19 and Long COVID(LC), particularly in contexts of influenza and cardiovascular disease(CVD). Methods: Using national, linked electronic health records for England (NHS England Secure Data Envir
Externí odkaz:
https://doaj.org/article/9e30e3bd34324a829f6aac44a41c785f
Autor:
Marta Pineda-Moncusí, Freya Allery, Antonella Delmestri, Thomas Bolton, John Nolan, Johan H. Thygesen, Alex Handy, Amitava Banerjee, Spiros Denaxas, Christopher Tomlinson, Alastair K. Denniston, Cathie Sudlow, Ashley Akbari, Angela Wood, Gary S. Collins, Irene Petersen, Laura C. Coates, Kamlesh Khunti, Daniel Prieto-sAlhambra, Sara Khalid, on behalf of the CVD-COVID-UK/COVID-IMPACT Consortium
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Intersectional social determinants including ethnicity are vital in health research. We curated a population-wide data resource of self-identified ethnicity data from over 60 million individuals in England primary care, linking it to hospita
Externí odkaz:
https://doaj.org/article/aad80e4d6c824d3a8dd8964aaf8bdee5
Autor:
Daniel McCartney, Cathie Sudlow, Riccardo E Marioni, Chloe Fawns-Ritchie, Archie Campbell, Caroline Hayward, Sarah Robertson, David J Porteous, Andrew M McIntosh, Heather C Whalley, Robin Flaig, Hannah Milbourn, Anne Richmond
Publikováno v:
BMJ Open, Vol 14, Iss 6 (2024)
Purpose Generation Scotland (GS) is a large family-based cohort study established as a longitudinal resource for research into the genetic, lifestyle and environmental determinants of physical and mental health. It comprises extensive genetic, sociod
Externí odkaz:
https://doaj.org/article/cf4243027cef4d7db3a4d3cee02fb406
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 3 (2024)
Background Generation Scotland (GS) is large family-based cohort study established as a resource for research into the genetic and environmental determinants of physical and mental health. Participants completed a baseline questionnaire and clinic vi
Externí odkaz:
https://doaj.org/article/c4c5c459203f4a9bbcc7952b1542710d
Autor:
Elena Bernabeu, Daniel L. McCartney, Danni A. Gadd, Robert F. Hillary, Ake T. Lu, Lee Murphy, Nicola Wrobel, Archie Campbell, Sarah E. Harris, David Liewald, Caroline Hayward, Cathie Sudlow, Simon R. Cox, Kathryn L. Evans, Steve Horvath, Andrew M. McIntosh, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni
Publikováno v:
Genome Medicine, Vol 15, Iss 1, Pp 1-15 (2023)
Abstract Background Epigenetic clocks can track both chronological age (cAge) and biological age (bAge). The latter is typically defined by physiological biomarkers and risk of adverse health outcomes, including all-cause mortality. As cohort sample
Externí odkaz:
https://doaj.org/article/11ded94b605a495a931ef5473f213f7c
Autor:
Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela Wood, Ashley Akbari, CVD-COVID-UK/COVID-IMPACT Consortium
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Beyond COVID-19, data h
Externí odkaz:
https://doaj.org/article/5727f736125349f88ecb427ef014e537
Autor:
Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael T. C. Poon, Natalie Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop Dinesh Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-15 (2022)
Abstract Much of the knowledge and information needed for enabling high-quality clinical research is stored in free-text format. Natural language processing (NLP) has been used to extract information from these sources at scale for several decades. T
Externí odkaz:
https://doaj.org/article/926d4a213e1b42b392aa892b255fb3e4