Search Results - "UK Biobank"

Multimodal population brain imaging in the UK Biobank prospective epidemiological study by Miller, Karla L., Alfaro-Almagro, Fidel, Bangerter, Neal K., Thomas, David L., Yacoub, Essa, Xu, Junqian, Bartsch, Andreas J., Jbabdi, Saad, Sotiropoulos, Stamatios N., Andersson, Jesper L.R., Griffanti, Ludovica, Douaud, Gwenaëlle, Okell, Thomas W., Weale, Peter, Dragonu, Iulius, Garratt, Steve, Hudson, Sarah, Collins, Rory, Jenkinson, Mark, Matthews, Paul M., Smith, Stephen M.

“…Although this covers just 5% of the ultimate cohort, it has already yielded a rich range of associations between brain imaging and other measures collected by UK Biobank.…”
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Sex differences in body anthropometry and composition in individuals with and without diabetes in the UK Biobank by Peters, S., Huxley, Rachel, Woodward, M.

“…METHODS: A cross-sectional study of 480 813 participants from the UK Biobank without history of CVD was conducted to assess whether the difference in body size in people with and without diabetes was greater in women than in men. …”
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Women’s reproductive health factors and body adiposity: findings from the UK Biobank by Peters, S., Huxley, Rachel, Woodward, M.

“…Methods: A cross-sectional analysis of 502 664 individuals from the UK Biobank was conducted. Multivariable linear regression models were used to examine the association of age at menarche, age at first birth, parity and age at menopause with measures of general and central body adiposity, adjusted for age, smoking and socioeconomic status. …”
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Investigating the mechanisms of endometrial cancer risk in polycystic ovary syndrome: can UK biobank help? by Atiomo, William

Subjects: “…Polycystic; Ovary; Syndrome; UK; Biobank; Endometrial; Cancer; IGF-1…”
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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank by Alfaro-Almagro, Fidel, Jenkinson, Mark, Bangerter, Neal K., Andersson, Jesper L.R., Griffanti, Ludovica, Douaud, Gwenaëlle, Sotiropoulos, Stamatios N., Jbabdi, Saad, Hernandez-Fernandez, Moises, Vallee, Emmanuel, Vidaurre, Diego, Webster, Matthew, McCarthy, Paul, Rorden, Christopher, Daducci, Alessandro, Alexander, Daniel C., Zhang, Hui, Dragonu, Iulius, Matthews, Paul M., Miller, Karla L., Smith, Stephen M.

“…UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. …”
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Joint exposure to various ambient air pollutants and incident heart failure: a prospective analysis in UK Biobank. by Wang, Mengying, Zhou, Tao, Song, Yongze, Li, Xiang, Ma, Hao, Hu, Yonghua, Heianza, Yoriko, Qi, Lu

“…METHODS AND RESULTS: This study included 432 530 participants free of HF, atrial fibrillation, or coronary heart disease in the UK Biobank study. All participants were enrolled from 2006 to 2010 and followed up to 2018. …”
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Do smoking habits differ between women and men in contemporary Western populations?: evidence from half a million people in the UK Biobank study by Peters, S., Huxley, Rachel, Woodward, M.

“…Design: Cross-sectional population-based study. Setting: UK Biobank Resource. Participants: 499 797 (54% women) individuals with data on smoking habits. …”
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Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank by Wain, Louise V., Shrine, Nick, Miller, Suzanne, Jackson, Victoria E., Ntalla, Ioanna, Artigas, María Soler, Billington, Charlotte K., Kheirallah, Abdul Kader, Allen, Richard, Cook, James P., Probert, Kelly, Obeidat, Ma'en, Bossé, Yohan, Hao, Ke, Postma, Dirkje S., Paré, Peter D., Ramasamy, Adaikalavan, Mägi, Reedik, Mihailov, Evelin, Reinmaa, Eva, Melén, Erik, O'Connell, Jared, Frangou, Eleni, Delaneau, Olivier, Freeman, Colin, Petkova, Desislava, McCarthy, Mark, Sayers, Ian, Deloukas, Panos, Hubbard, Richard, Pavord, Ian, Hansell, Anna L., Thomson, Neil C., Zeggini, Eleftheria, Morris, Andrew P., Marchini, Jonathan, Strachan, David P., Tobin, Martin D., Hall, Ian P.

“…Background Understanding the genetic basis of airflow obstruction and smoking behaviour is key to determining the pathophysiology of chronic obstructive pulmonary disease (COPD). We used UK Biobank data to study the genetic causes of smoking behaviour and lung health. …”
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Exome-wide analysis of rare coding variation identifies novel associations with COPD and airflow limitation in MOCS3, IFIT3 and SERPINA12 by Jackson, Victoria E., Ntalla, Ioanna, Sayers, Ian, Morris, Richard, Whincup, Peter, Casas, Juan-Pablo, Amuzu, Antoinette, Choi, Minkyoung, Dale, Caroline, Kumari, Meena, Engmann, Jorgen, Kalsheker, Noor, Chappell, Sally, Guetta-Baranes, Tamar, McKeever, Tricia M., Palmer, Colin N.A., Tavendale, Roger, Holloway, John W., Sayer, Avan A., Dennison, Elaine M., Cooper, Cyrus, Bafadhel, Mona, Barker, Bethan, Brightling, Chris, Bolton, Charlotte E., John, Michelle E., Parker, Stuart G., Moffat, Miriam F., Wardlaw, Andrew J., Connolly, Martin J., Porteous, David J., Smith, Blair H., Padmanabhan, Sandosh, Hocking, Lynne, Stirrups, Kathleen E., Deloukas, Panos, Strachan, David P., Hall, Ian P., Tobin, Martin D., Wain, Louise V.

“…We followed-up signals of interest (p<10−5) in independent samples from a subset of the UK Biobank population and also undertook a more powerful discovery study by meta-analysing the exome array data and UK Biobank data for variants represented on both arrays. …”
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An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging by Andersson, Jesper L.R., Sotiropoulos, Stamatios N.

“…The method is already in extensive practical use and is used by four major projects (the WU-UMinn HCP, the MGH HCP, the UK Biobank and the Whitehall studies) to correct for distortions and subject movement.…”
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Reassessing the 'gift relationship': the meaning and ethics of blood donation for genetic research in the UK by Busby, Helen Wynne

“…The thesis concludes by underlining the importance of having an explicit political debate about the UK Biobank, and of developing mechanisms to negotiate and protect the collective interests to which it refers.…”
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The prevalence of tinnitus and the relationship with neuroticism in a middle-aged UK population by McCormack, Abby, Edmondson-Jones, Mark, Fortnum, Heather, Dawes, Piers, Middleton, Hugh, Munro, Kevin J., Moore, David R.

“…Objective: In a subset (N = 172,621) of a large population sample of > 500,000 adults aged 40 to 69 years, (from the UK Biobank dataset) we calculated the prevalence of tinnitus and that which is perceived as bothersome, and examined the association between tinnitus and a putative predisposing personality factor, neuroticism. …”
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Comorbities and medications of patients with chronic hepatitis C under specialist care in the UK by Hudson, Benjamin, Walker, Alex J., Irving, William L.

“…In this retrospective analysis of data from the National HCV Research UK Biobank between March 2012–October 2014 the characteristics of the CHC population currently under specialist care in the UK were evaluated – with specific focus upon use of medications, adverse lifestyle choices, and comorbidities.. …”
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Whole-exome sequencing in multiplex preeclampsia families identifies novel candidate susceptibility genes by Melton, Phillip, Johnson, M., Gokhale-Agashe, D., Rea, A., Ariff, A., Cadby, G., Peralta, J., Mcnab, T., Allcock, R., Abraham, L., Blangero, J., Brennecke, S., Moses, E.

“…We further leveraged publicly available genome-wide available summary data from the UK Biobank to investigate association of these two variants with the underlying clinical phenotypes of preeclampsia and detected nominal association of the QRFPR variant (rs34270076, P = 0.03) with protein levels in females. …”
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Walking pace is a protective factor for rheumatoid arthritis: a mendelian randomization study by Zhang, Qin, Huang, Xiaoxiong, Zhang, Yazhong, Chao, Zhujun, Zhou, Ruoran, Abd Hamid, Roslida, Zhen, Yunfang, Li, Yusheng, Huang, Cheng, Xu, Wu, Lin, Jun

“…An observational study with individual data from UK Biobank was performed to reinforce our findings. …”
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Targeted sequencing of lung function loci in chronic obstructive pulmonary disease cases and controls by Artigas, María Soler, Wain, Louise V., Shrine, Nick, McKeever, Tricia M., Sayers, Ian, Hall, Ian P., Tobin, Martin D.

“…We followed up the top signals with data available (only 67% of collapsing methods signals) in 4,249 COPD cases and 11,916 smoking controls from UK Biobank. We provide suggestive evidence for the combined effect of rare variants on COPD risk in TNXB and in sliding windows within MECOM and upstream of HHIP. …”
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The Medical Genome Reference Bank contains whole genome and phenotype data of 2570 healthy elderly by Pinese, M., Lacaze, P., Rath, E.M., Stone, A., Brion, M.J., Ameur, A., Nagpal, S., Puttick, C., Husson, S., Degrave, D., Cristina, T.N., Kahl, V.F.S., Statham, A.L., Woods, R.L., McNeil, J.J., Riaz, M., Barr, M., Nelson, M.R., Reid, Christopher, Murray, A.M., Shah, R.C., Wolfe, R., Atkins, J.R., Fitzsimmons, C., Cairns, H.M., Green, M.J., Carr, V.J., Cowley, M.J., Pickett, H.A., James, P.A., Powell, J.E., Kaplan, W., Gibson, G., Gyllensten, U., Cairns, M.J., McNamara, M., Dinger, M.E., Thomas, D.M.

“…MGRB individuals have fewer disease-associated common and rare germline variants, relative to both cancer cases and the gnomAD and UK Biobank cohorts, consistent with risk depletion. …”
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Brain connectivity mapping with diffusion MRI across individuals and species by Warrington, Shaun

“…Using population-level data from the UK Biobank and confirmations from independent imaging modalities from the Human Connectome Project, we validate this prediction and demonstrate the direct link of CCA stability and generalisability with the number of subjects used per considered feature.…”
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Effect of coffee, tea and alcohol intake on circulating inflammatory cytokines: a two sample-Mendelian randomization study by He, Yuan, Zhu, Shuang, Zhang, Yu, Tan, Chin Ping, Zhang, Jianbin, Liu, Yuanfa, Xu, Yong-Jiang

“…Methods: Information regarding the consumption of coffee, tea, and alcohol was collected from the UK Biobank, with sample sizes of 428,860, 447,485, and 462,346 individuals, respectively. …”
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An investigation into inflammasome-gene expression profile and genome-wide genotype data in gout by Sandoval-Plata, Gabriela

“…GWAS and PRS studies: Phenotype and genotype data from participants of the UK Biobank resource were used to derive two cohorts: (1) gout cases vs. non-gout controls (regardless SU levels), and (2) gout cases vs. asymptomatic hyperuricaemia controls. …”
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