26 results on '"Gallacher, John E. J."'
Search Results
2. The Dementias Platform UK (DPUK) Data Portal
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Bauermeister, Sarah, Orton, Christopher, Thompson, Simon, Barker, Roger A., Bauermeister, Joshua R., Ben-Shlomo, Yoav, Brayne, Carol, Burn, David, Campbell, Archie, Calvin, Catherine, Chandran, Siddharthan, Chaturvedi, Nishi, Chêne, Geneviève, Chessell, Iain P., Corbett, Anne, Davis, Daniel H. J., Denis, Mike, Dufouil, Carole, Elliott, Paul, Fox, Nick, Hill, Derek, Hofer, Scott M., Hu, Michele T., Jindra, Christoph, Kee, Frank, Kim, Chi-Hun, Kim, Changsoo, Kivimaki, Mika, Koychev, Ivan, Lawson, Rachael A., Linden, Gerry J., Lyons, Ronan A., Mackay, Clare, Matthews, Paul M., McGuiness, Bernadette, Middleton, Lefkos, Moody, Catherine, Moore, Katrina, Na, Duk L., O’Brien, John T., Ourselin, Sebastien, Paranjothy, Shantini, Park, Ki-Soo, Porteous, David J., Richards, Marcus, Ritchie, Craig W., Rohrer, Jonathan D., Rossor, Martin N., Rowe, James B., Scahill, Rachael, Schnier, Christian, Schott, Jonathan M., Seo, Sang W., South, Matthew, Steptoe, Matthew, Tabrizi, Sarah J., Tales, Andrea, Tillin, Therese, Timpson, Nicholas J., Toga, Arthur W., Visser, Pieter-Jelle, Wade-Martins, Richard, Wilkinson, Tim, Williams, Julie, Wong, Andrew, and Gallacher, John E. J.
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- 2020
3. Association between individual-level socioeconomic position and incident dementia using UK Biobank data: a prospective study
- Author
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Lai, Ka Yan, primary, Webster, Chris, additional, Kumari, Sarika, additional, Gallacher, John E J, additional, and Sarkar, Chinmoy, additional
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- 2022
- Full Text
- View/download PDF
4. Sleep disturbance and daytime sleepiness predict vascular dementia
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Elwood, Peter C, Bayer, Antony J, Fish, Mark, Pickering, Janet, Mitchell, Clive, and Gallacher, John E J
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- 2011
5. Insulin Resistance And Depressive Symptoms In Middle Aged Men: Findings From The Caerphilly Prospective Cohort Study
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Lawlor, Debbie A., Ben-Shlomo, Yoav, Ebrahim, Shah, Smith, George Davey, Stansfeld, Stephen A., Yarnell, John W. G., and Gallacher, John E. J.
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- 2005
- Full Text
- View/download PDF
6. Glucoregulation Has Greater Impact on Cognitive Performance than Macro-Vascular Disease in Men with Type 2 Diabetes: Data from the Caerphilly Study
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Gallacher, John E. J., Pickering, Janet, Elwood, Peter C., Bayer, Anthony J., Yarnell, John W., and Ben-Shlomo, Yoav
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- 2005
7. Research-ready data for multi-cohort analyses: The Dementias Platform UK (DPUK) C-Surv data model
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Bauermeister, Sarah, primary, Bauermeister, Joshua R, additional, Bridgman, Ruth, additional, Felici, Caterina, additional, Newbury, Mark, additional, North, Laura, additional, Orton, Christopher, additional, Squires, Emma, additional, Thompson, Simon, additional, Young, Simon, additional, and Gallacher, John E J, additional
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- 2021
- Full Text
- View/download PDF
8. Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error
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Fan, Qiao, Pozarickij, Alfred, Tan, Nicholas Y. Q., Guo, Xiaobo, Verhoeven, Virginie J. M., Vitart, Veronique, Guggenheim, Jeremy A., Miyake, Masahiro, Tideman, J. Willem L., Khawaja, Anthony P., Zhang, Liang, MacGregor, Stuart, Höhn, René, Chen, Peng, Biino, Ginevra, Wedenoja, Juho, Saffari, Seyed Ehsan, Tedja, Milly S., Xie, Jing, Lanca, Carla, Wang, Ya Xing, Sahebjada, Srujana, Mazur, Johanna, Mirshahi, Alireza, Martin, Nicholas G., Yazar, Seyhan, Pennell, Craig E., Yap, Maurice, Haarman, Annechien E. G., Enthoven, Clair A., Polling, JanRoelof, Hewitt, Alex W., Jaddoe, Vincent W. V., Van Duijn, Cornelia M., Hayward, Caroline, Polasek, Ozren, Tai, E-Shyong, Yoshikatsu, Hosoda, Hysi, Pirro G., Young, Terri L., Tsujikawa, Akitaka, Wang, Jie Jing, Mitchell, Paul, Pfeiffer, Norbert, Pärssinen, Olavi, Foster, Paul J., Fossarello, Maurizio, Yip, Shea Ping, Williams, Cathy, Hammond, Christopher J., Jonas, Jost B., He, Mingguang, Mackey, David A., Wong, Tien-Yin, Klaver, Caroline C. W., Saw, Seang-Mei, Baird, Paul N., Cheng, Ching-Yu, Bailey-Wilson, Joan E., Veluchamy, Amutha Barathi, Burdon, Kathryn P., Campbell, Harry, Chen, Li Jia, Chew, Emily Y., Craig, Jamie E., Cumberland, Phillippa M., Deangelis, Margaret M., Delcourt, Cécile, Ding, Xiaohu, Evans, David M., Gharahkhani, Puya, Iglesias, Adriana I., Haller, Toomas, Han, Xikun, Hoang, Quan, Igo, Robert P., Iyengar, Sudha K., Kähönen, Mika, Kaprio, Jaakko, Klein, Barbara E., Klein, Ronald, Lass, Jonathan H., Lee, Kris, Lehtimäki, Terho, Lewis, Deyana D., Li, Qing, Li, Shi-Ming, Lyytikäinen, Leo-Pekka, Meguro, Akira, Metspalu, Andres, Middlebrooks, Candace D., Mizuki, Nobuhisa, Musolf, Anthony M., Nickels, Stefan, Oexle, Konrad, Pang, Chi Pui, Paterson, Andrew D., Rahi, Jugnoo S., Raitakari, Olli, Rudan, Igor, Stambolian, Dwight, Simpson, Claire L., Wang, Ningli, Bin Wei, Wen, Williams, Katie M., Wilson, James F., Wojciechowski, Robert, Yamashiro, Kenji, Yam, Jason C. S., Zhou, Xiangtian, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y. L., Crabb, David P., Cumberland, Philippa M., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E. J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Keane, Pearse A., Khaw, Sir Peng T., Lascaratos, Gerassimos, Lotery, Andrew J., Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O’Sullivan, Eoin, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Verhoeven, Virginie J. M. [0000-0001-7359-7862], Vitart, Veronique [0000-0002-4991-3797], Guggenheim, Jeremy A. [0000-0001-5164-340X], Khawaja, Anthony P. [0000-0001-6802-8585], Zhang, Liang [0000-0001-9264-170X], MacGregor, Stuart [0000-0001-6731-8142], Wedenoja, Juho [0000-0002-6155-0378], Saffari, Seyed Ehsan [0000-0002-6473-4375], Tedja, Milly S. [0000-0003-0356-9684], Lanca, Carla [0000-0001-9918-787X], Wang, Ya Xing [0000-0003-2749-7793], Martin, Nicholas G. [0000-0003-4069-8020], Yap, Maurice [0000-0003-4687-4101], Hewitt, Alex W. [0000-0002-5123-5999], Jaddoe, Vincent W. V. [0000-0003-2939-0041], Hayward, Caroline [0000-0002-9405-9550], Hysi, Pirro G. [0000-0001-5752-2510], Young, Terri L. [0000-0001-6994-9941], Wang, Jie Jing [0000-0001-9491-4898], Pfeiffer, Norbert [0000-0002-5766-2617], Foster, Paul J. [0000-0002-4755-177X], Hammond, Christopher J. [0000-0002-3227-2620], Jonas, Jost B. [0000-0003-2972-5227], Klaver, Caroline C. W. [0000-0002-2355-5258], Baird, Paul N. [0000-0002-1305-3502], and Apollo - University of Cambridge Repository
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genetic structures ,45 ,692/699/3161/3163 ,631/208/727/2000 ,631/208/205/2138 ,45/43 ,article ,sense organs ,eye diseases - Abstract
Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia.
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- 2021
- Full Text
- View/download PDF
9. Retinal asymmetry in multiple sclerosis
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Petzold, Axel, Chua, Sharon Y. L., Khawaja, Anthony P., Keane, Pearse A., Khaw, Peng T., Reisman, Charles, Dhillon, Baljean, Strouthidis, Nicholas G., Foster, Paul J., Patel, Praveen J., Atan, Denize, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Crabb, David P., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E. J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Guggenheim, Jeremy A., Hammond, Chris J., Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Hysi, Pirro, Khaw, Sir Peng T., Lascaratos, Gerassimos, Lotery, Andrew J., MacGillivray, Tom, MacKie, Sarah, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O'Sullivan, Eoin, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Rahi, Jugnoo S., Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Cathy, Williams, Katie, Woodside, Jayne V., Yates, Max M., Zheng, Yalin, Consortium, UK Biobank Eye and Vision, Gallacher, JE, Neurology, Ophthalmology, APH - Mental Health, APH - Methodology, and Amsterdam Neuroscience - Neuroinfection & -inflammation
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Male ,genetic structures ,Youden's J statistic ,Optic neuritis ,Imaging ,chemistry.chemical_compound ,0302 clinical medicine ,medicine.diagnostic_test ,AcademicSubjects/SCI01870 ,imaging ,Middle Aged ,Biobank ,Female ,demyelination ,Demyelination ,Tomography, Optical Coherence ,medicine.medical_specialty ,Multiple Sclerosis ,Clinical Neurology ,Sensitivity and Specificity ,Retina ,Multiple sclerosis ,03 medical and health sciences ,Optical coherence tomography ,SDG 3 - Good Health and Well-being ,Ophthalmology ,medicine ,Humans ,optic neuritis ,Research ethics ,Community level ,Neuromyelitis optica ,Receiver operating characteristic ,business.industry ,biomarkers ,Retinal ,Original Articles ,medicine.disease ,Confidence interval ,eye diseases ,chemistry ,North west ,030221 ophthalmology & optometry ,Optometry ,AcademicSubjects/MED00310 ,RE ,Neurology (clinical) ,sense organs ,business ,030217 neurology & neurosurgery ,Biomarkers ,RC - Abstract
In a large community-based study, Petzold et al. show that optical coherence tomography measures of retinal asymmetry have high diagnostic sensitivity for multiple sclerosis, particularly in younger individuals without relevant comorbidities. The technique should be considered in future revisions of diagnostic criteria., The diagnosis of multiple sclerosis is based on a combination of clinical and paraclinical tests. The potential contribution of retinal optical coherence tomography (OCT) has been recognized. We tested the feasibility of OCT measures of retinal asymmetry as a diagnostic test for multiple sclerosis at the community level. In this community-based study of 72 120 subjects, we examined the diagnostic potential of the inter-eye difference of inner retinal OCT data for multiple sclerosis using the UK Biobank data collected at 22 sites between 2007 and 2010. OCT reporting and quality control guidelines were followed. The inter-eye percentage difference (IEPD) and inter-eye absolute difference (IEAD) were calculated for the macular retinal nerve fibre layer (RNFL), ganglion cell inner plexiform layer (GCIPL) complex and ganglion cell complex. Area under the receiver operating characteristic curve (AUROC) comparisons were followed by univariate and multivariable comparisons accounting for a large range of diseases and co-morbidities. Cut-off levels were optimized by ROC and the Youden index. The prevalence of multiple sclerosis was 0.0023 [95% confidence interval (CI) 0.00229–0.00231]. Overall the discriminatory power of diagnosing multiple sclerosis with the IEPD AUROC curve (0.71, 95% CI 0.67–0.76) and IEAD (0.71, 95% CI 0.67–0.75) for the macular GCIPL complex were significantly higher if compared to the macular ganglion cell complex IEPD AUROC curve (0.64, 95% CI 0.59–0.69, P = 0.0017); IEAD AUROC curve (0.63, 95% CI 0.58–0.68, P 0.14) with narrow confidence intervals. In conclusion, the OCT macular GCIPL complex IEPD and IEAD may be considered as supportive measurements for multiple sclerosis diagnostic criteria in a young patient without relevant co-morbidity. The metric does not allow separation of multiple sclerosis from neuromyelitis optica. Retinal OCT imaging is accurate, rapid, non-invasive, widely available and may therefore help to reduce need for invasive and more costly procedures. To be viable, higher sensitivity and specificity levels are needed.
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- 2021
10. Blood Pressure Reactions to the Cold Pressor Test and the Prediction of Ischaemic Heart Disease: Data from the Caerphilly Study
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Carroll, Douglas, Smith, George Davey, Willemsen, Gonneke, Sheffield, David, Sweetnam, Peter M., Gallacher, John E. J., and Elwood, Peter C.
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- 1998
11. Cohort profile: The Secure Anonymised Information Linkage databank Dementia e-cohort (SAIL-DeC)
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Schnier, Christian, Wilkinson, Tim, Akbari, Ashley, Orton, Chris, Sleegers, Kristel, Gallacher, John E. J., Lyons, Ronan, and Sudlow, Catherine
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Primary Health Care ,lcsh:HB848-3697 ,Alzheimer Disease ,Data Science ,Cohort studies ,lcsh:Demography. Population. Vital events ,Dementia ,Vascular dementia - Abstract
IntroductionThe rising burden of dementia is a global concern, and there is a need to study its causes, natural history and outcomes. The Secure Anonymised Information Linkage (SAIL) Databank contains anonymised, routinely-collected healthcare data for the population of Wales, UK. It has potential to be a valuable resource for dementia research owing to its size, long follow-up time and prospective collection of data during clinical care.ObjectivesWe aimed to apply reproducible methods to create the SAIL dementia e-cohort (SAIL-DeC). We created SAIL-DeC with a view to maximising its utility for a broad range of research questions whilst minimising duplication of effort for researchers.MethodsSAIL contains individual-level, linked primary care, hospital admission, mortality and demographic data. Data are currently available until 2018 and future updates will extend participant follow-up time. We included participants who were born between 1st January 1900 and 1st January 1958 and for whom primary care data were available. We applied algorithms consisting of International Classification of Diseases (versions 9 and 10) and Read (version 2) codes to identify participants with and without all-cause dementia and dementia subtypes. We also created derived variables for comorbidities and risk factors.ResultsFrom 4.4 million unique participants in SAIL, 1.2 million met the cohort inclusion criteria, resulting in 18.8 million person-years of follow-up. Of these, 129,650 (10%) developed all-cause dementia, with 77,978 (60%) having dementia subtype codes. Alzheimer’s disease was the most common subtype diagnosis (62%). Among the dementia cases, the median duration of observation time was 14 years.ConclusionWe have created a generalisable, national dementia e-cohort, aimed at acilitating epidemiological dementia research.
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- 2020
12. Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error
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Fan, Qiao, Pozarickij, Alfred, Tan, Nicholas Y. Q., Guo, Xiaobo, Verhoeven, Virginie J. M., Vitart, Veronique, Guggenheim, Jeremy A., Miyake, Masahiro, Tideman, J. Willem L., Khawaja, Anthony P., Zhang, Liang, MacGregor, Stuart, Höhn, René, Chen, Peng, Biino, Ginevra, Wedenoja, Juho, Saffari, Seyed Ehsan, Tedja, Milly S., Xie, Jing, Lanca, Carla, Wang, Ya Xing, Sahebjada, Srujana, Mazur, Johanna, Mirshahi, Alireza, Martin, Nicholas G., Yazar, Seyhan, Pennell, Craig E., Yap, Maurice, Haarman, Annechien E. G., Enthoven, Clair A., Polling, JanRoelof, Bailey-Wilson, Joan E., Veluchamy, Amutha Barathi, Burdon, Kathryn P., Campbell, Harry, Chen, Li Jia, Chew, Emily Y., Craig, Jamie E., Cumberland, Phillippa M., Deangelis, Margaret M., Delcourt, Cécile, Ding, Xiaohu, Evans, David M., Gharahkhani, Puya, Iglesias, Adriana I., Haller, Toomas, Han, Xikun, Hoang, Quan, Igo, Robert P., Iyengar, Sudha K., Kähönen, Mika, Kaprio, Jaakko, Klein, Barbara E., Klein, Ronald, Lass, Jonathan H., Lee, Kris, Lehtimäki, Terho, Lewis, Deyana D., Li, Qing, Li, Shi-Ming, Lyytikäinen, Leo-Pekka, Meguro, Akira, Metspalu, Andres, Middlebrooks, Candace D., Mizuki, Nobuhisa, Musolf, Anthony M., Nickels, Stefan, Oexle, Konrad, Pang, Chi Pui, Paterson, Andrew D., Rahi, Jugnoo S., Raitakari, Olli, Rudan, Igor, Stambolian, Dwight, Simpson, Claire L., Wang, Ningli, Bin Wei, Wen, Williams, Katie M., Wilson, James F., Wojciechowski, Robert, Yamashiro, Kenji, Yam, Jason C. S., Zhou, Xiangtian, Aslam, Tariq, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Blows, Peter, Bunce, Catey, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y. L., Crabb, David P., Cumberland, Philippa M., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John E. J., Garway-Heath, David F., Gibson, Jane, Gore, Dan, Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Keane, Pearse A., Khaw, Sir Peng T., Lascaratos, Gerassimos, Lotery, Andrew J., Macgillivray, Tom, Mackie, Sarah, Martin, Keith, McGaughey, Michelle, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James E., Muthy, Zaynah A., O’Sullivan, Eoin, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rudnikca, Alicja R., Self, Jay, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vernon, Stephen A., Viswanathan, Ananth C., Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Hewitt, Alex W., Jaddoe, Vincent W. V., van Duijn, Cornelia M., Hayward, Caroline, Polasek, Ozren, Tai, E-Shyong, Yoshikatsu, Hosoda, Hysi, Pirro G., Young, Terri L., Tsujikawa, Akitaka, Wang, Jie Jing, Mitchell, Paul, Pfeiffer, Norbert, Pärssinen, Olavi, Foster, Paul J., Fossarello, Maurizio, Yip, Shea Ping, Williams, Cathy, Hammond, Christopher J., Jonas, Jost B., He, Mingguang, Mackey, David A., Wong, Tien-Yin, Klaver, Caroline C. W., Saw, Seang-Mei, Baird, Paul N., and Cheng, Ching-Yu
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genetic structures ,likinäköisyys ,sense organs ,geneettiset tekijät ,eye diseases - Abstract
Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia. peerReviewed
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- 2020
13. The case for large scale fungible cohorts
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Gallacher, John E. J.
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- 2007
14. Vascular disease and cognitive function in older men in the Caerphilly cohort
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ELWOOD, PETER C., PICKERING, JANET, BAYER, ANTHONY, and GALLACHER, JOHN E. J.
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- 2002
15. Cognitive function and blood rheology: results from the Caerphilly cohort of older men
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ELWOOD, PETER C., PICKERING, JANET, and GALLACHER, JOHN E. J.
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- 2001
16. Traffic Noise and Cardiovascular Risk: The Caerphilly and Speedwell Studies, Third Phase-10-Year Follow Up
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BABISCH, WOLFGANG, ISING, HARTMUT, GALLACHER, JOHN E. J., SWEETNAM, PETE M., and ELWOOD, PETER C.
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- 1999
17. Is Type A Behavior Really a Trigger for Coronary Heart Disease Events?
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Gallacher, John E. J., primary, Sweetnam, Peter M., additional, Yarnell, John W. G., additional, Elwood, Peter C., additional, and Stansfeld, Stephen A., additional
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- 2003
- Full Text
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18. Anger and Incident Heart Disease in the Caerphilly Study
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Gallacher, John E. J., primary, Yarnell, John W. G., additional, Sweetnam, Peter M., additional, Elwood, Peter C., additional, and Stansfeld, Stephen A., additional
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- 1999
- Full Text
- View/download PDF
19. Vital exhaustion, neuroticism and symptom reporting in patients with cardiac and non-cardiac chest pain
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Bennett, Paul, primary, Smith, Paula, additional, and Gallacher, John E. J., additional
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- 1996
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20. Traffic Noise and Cardiovascular Risk: The Speedwell Study, First Phase. Outdoor Noise Levels and Risk Factors
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Babisch, Wolfgang, primary, Ising, Hartmut, additional, Gallacher, John E. J., additional, Sharp, Dan S., additional, and Baker, Ian A., additional
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- 1993
- Full Text
- View/download PDF
21. The Dementias Platform UK (DPUK) Data Portal
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Sebastien Ourselin, Michele T.M. Hu, Yoav Ben-Shlomo, Ivan Koychev, James B. Rowe, Bernadette McGuiness, Jon M. Schott, Iain Chessell, Frank Kee, Andrea Tales, Alan J. Thomas, David J. Porteous, Mika Kivimäki, Daniel Davis, Duk L. Na, Shantini Paranjothy, Paul M. Matthews, Siddharthan Chandran, Clare E. Mackay, Nishi Chaturvedi, Carol Brayne, Arthur W. Toga, Campbell A, Tim Wilkinson, David J. Burn, J S K Kwan, Seth Love, Ki Soo Park, Catherine Moody, Andrew Steptoe, Ronan A Lyons, Catherine M. Calvin, Christopher Orton, Simon Thompson, Iracema Leroi, Joshua R. Bauermeister, Nick C. Fox, Jonathan D. Rohrer, Derek L. G. Hill, Marcus Richards, John Gallacher, Sarah Bauermeister, Roger A. Barker, Julie Williams, Simon Lovestone, Sang W. Seo, Gerry Linden, Richard Wade-Martins, Scott M. Hofer, Mike Denis, Craig W. Ritchie, Anne Corbett, Chan Yeong Kim, Pieter Jelle Visser, Lefkos T. Middleton, N J Timpson, Rachael I. Scahill, John T. O'Brien, Rachael A Lawson, Geneviève Chêne, Paul Elliott, Christian Schnier, Chi Hun Kim, Katrina M. Moore, Therese Tillin, Christoph Jindra, Matthew South, Martin N. Rossor, Sarah J. Tabrizi, Andrew Wong, Carole Dufouil, Amsterdam Neuroscience - Neurodegeneration, Neurology, Gallacher, John E. J. [0000-0002-2394-5299], Apollo - University of Cambridge Repository, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Engineering & Physical Science Research Council (EPSRC), Medical Research Council (MRC), and Gallacher, John EJ [0000-0002-2394-5299]
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Engineering ,Biomedical Research ,Epidemiology ,Data management ,Interoperability ,Datasets as Topic ,Information repository ,Cohort Studies ,Resource (project management) ,0302 clinical medicine ,PARKINSONS-DISEASE ,MORPH3Eus ,Medicine ,030212 general & internal medicine ,Public, Environmental & Occupational Health ,Medical research ,Data portal ,VINTAGE ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,HEALTH ,Life Sciences & Biomedicine ,Bridge (interpersonal) ,1117 Public Health and Health Services ,World Wide Web ,03 medical and health sciences ,Humans ,Data access ,Science & Technology ,[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] ,Data curation ,business.industry ,Multitier architecture ,Data discovery ,Multi-factor authentication ,COGNITIVE FUNCTION ,United Kingdom ,Engineering management ,COHORT PROFILE ,Database Management Systems ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Dementia ,Data repository ,business ,Data platform ,030217 neurology & neurosurgery ,Cohorts ,Data Resource - Abstract
The Dementias Platform UK (DPUK) Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data.The Data Portal uses UK Secure eResearch Platform (UKSeRP) infrastructure to provide three core utilities: data discovery, access, and analysis. These are delivered using a 7 layered architecture comprising: data ingestion, data curation, platform interoperability, data discovery, access brokerage, data analysis and knowledge preservation. Automated, streamlined, and standardised procedures reduce the administrative burden for all stakeholders, particularly for requests involving multiple independent datasets, where a single request may be forwarded to multiple data controllers. Researchers are provided with their own secure ‘lab’ using VMware which is accessed using two factor authentication.Over the last 2 years, 160 project proposals involving 579 individual cohort data access requests were received. These were received from 268 applicants spanning 72 institutions (56 academic, 13 commercial, 3 government) in 16 countries with 84 requests involving multiple cohorts. Project are varied including multi-modal, machine learning, and Mendelian randomisation analyses. Data access is usually free at point of use although a small number of cohorts require a data access fee.
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- 2020
22. Neighbourhood residential density, urbanicity and incident dementia and Alzheimer's disease: A 12-year prospective cohort study from the UK Biobank.
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Lai KY, Kumari S, Webster C, Gallacher JEJ, and Sarkar C
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- Humans, Female, Prospective Studies, Biological Specimen Banks, Risk Factors, United Kingdom epidemiology, Alzheimer Disease epidemiology
- Abstract
Introduction: An increasing proportion of global population is exposed to urban densification in an aging society. However, little is known of the role of residential density and urbanicity on the risk of developing dementia including Alzheimer's disease. We examined long-term associations between residential density and urbanicity and risks of incident dementia and Alzheimer's disease., Methods: This prospective cohort study included participants from the UK Biobank who lived at the same residential address, had no self-reported neurological conditions and without dementia at baseline. Residential density was measured as the number of dwelling units within 1-km street neighbourhood of participant's home address. A composite index of urbanicity was developed from neighbourhood-level z-standardized densities of housing, retail, public transport and street centrality. Hazard ratios were derived from Cox proportional hazard models adjusted for known risk factors., Results: The analytic sample included 239,629 participants aged 38-72 years. During a median follow-up of 12.3 years (interquartile range 11.5-13.0 years), 2,176 participants developed dementia and 1,004 Alzheimer's disease. After adjustments for potential risk factors, each 1,000 units/Km
2 increment in residential density was associated with higher risks of dementia (hazard ratio [HR]=1.10, 95% confidence interval [CI]: 1.06-1.15) and Alzheimer's disease (HR=1.10, 95% CI: 1.04-1.16). Consistently, categorical models showed that living in neighbourhoods of higher residential density and urbanicity were associated with higher risks of dementia (HR = 1.30, 95% CI: 1.12-1.51 for the highest density quintile compared to the lowest and HR = 1.21, 95% CI: 1.05-1.39 for the highest urbanicity quintile relative to the lowest). The associations were more pronounced in female, age >65 years, and among participants of the low income and those being frail and having shorter leucocyte telomere length (LTL)., Conclusions: Higher residential density and urbanicity was found to be positively associated with elevated risks of dementia and Alzheimer's disease. Optimizing neighbourhood residential density maybe one of the upstream considerations for mitigating against neurodegenerative diseases., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)- Published
- 2023
- Full Text
- View/download PDF
23. Recurrent depression has persistent effects on cognition but this does not appear to be mediated by neuroinflammation.
- Author
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Sinclair LI, Ball HA, Bauermeister S, Gallacher JEJ, and Bolea-Alamanac BM
- Subjects
- Adult, Chronic Disease, Cognition, Cross-Sectional Studies, Humans, Neuroinflammatory Diseases, Alzheimer Disease psychology, Depression diagnosis, Depression epidemiology
- Abstract
Background: Later-life depression appears to be different to depression in younger adults. The underlying pathology may also differ. Depression is linked to dementia but whether it is a risk factor or an early sign of a developing dementia remains unclear. Neuroinflammation is increasingly recognised in both depression and Alzheimer's Disease., Aims: To investigate the link between depression, inflammation and dementia. We hypothesised that recurrent depression has adverse effects on performance in cognitive tests in middle to older age and that this effect is modified by anti-inflammatory medication., Methods: We identified UK based cohort studies which included individuals aged >50, had medical information, results from detailed cognitive testing and had used reliable measures to assess depression. Individuals with recurrent depression had ≥ 2 episodes of depression. Controls had no history of depression. The presence/absence of inflammatory illness was assessed using a standardised list of inflammatory conditions. Individuals with dementia, chronic neurological and psychotic conditions were excluded. Logistic and linear regression were used to examine the effect of depression on cognitive test performance and the mediating effect of chronic inflammation., Results: Unexpectedly in both studies there was evidence that those with recurrent depression performed better in some cognitive tasks (e.g Mill Hill vocabulary) but worse in others (e.g. reaction time). In UK Biobank there was no evidence that anti-inflammatories moderated this effect., Limitations: Cross-sectional assessment of cognition., Conclusions: Although previous recurrent depression has small effects on cognitive test performance this does not appear to be mediated by chronic inflammatory disease., (Copyright © 2022 Elsevier B.V. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
24. Why representativeness should be avoided.
- Author
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Rothman KJ, Gallacher JE, and Hatch EE
- Subjects
- Statistics as Topic, Epidemiologic Studies, Sampling Studies
- Published
- 2013
- Full Text
- View/download PDF
25. Rebuttal: When it comes to scientific inference, sometimes a cigar is just a cigar.
- Author
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Rothman KJ, Gallacher JE, and Hatch EE
- Subjects
- Epidemiologic Studies, Sampling Studies
- Published
- 2013
- Full Text
- View/download PDF
26. Advice to eat fish and mood: a randomised controlled trial in men with angina.
- Author
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Ness AR, Gallacher JE, Bennett PD, Gunnell DJ, Rogers PJ, Kessler D, and Burr ML
- Subjects
- Adult, Aged, Animals, Anxiety therapy, Depression therapy, Fish Oils administration & dosage, Fishes, Humans, Male, Middle Aged, Surveys and Questionnaires, Affect, Angina Pectoris psychology, Diet, Seafood
- Abstract
People with high intake of fish have lower reported rates of depression and a small trial in psychiatric patients suggested that fish oil supplements reduced episodes of depression and mania. As part of a factorial trial of interventions to reduce mortality in angina 452 men were randomised to advice to eat more fatty fish or no fish advice. Maxepa fish oil capsules were supplied to men who found the fish unpalatable. Fish intake and mood were assessed at baseline and six months. Most men (83%) had mood assessed using the Derogatis Stress Profile at baseline and follow-up. Self reported intake of fish was higher in the fish advice group at six months. There was, however, no difference in depression or anxiety in those allocated to receive fish advice. After controlling for baseline mood, the difference in depression score between those randomised to fish advice and those not was 1.29 (95% CI -0.29 to 2.88) and the difference in anxiety was 0.82 (95% CI -0.57 to 2.22) with positive differences indicating more depression or anxiety in those allocated to the fish arm. This trial provides no evidence that increased fatty fish intake in people without depressive symptoms has any substantial effect on mood.
- Published
- 2003
- Full Text
- View/download PDF
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