Showing 121 - 140 results of 7,539 for search '"biobank"', query time: 0.17s Refine Results
  1. 121

    ELSI challenges and strategies of national biobank infrastructures by Budin-Ljøne, I, Harris, JR, Kaye, J, Knoppers, B, Tassé, A, Bravo, E, Cambon-Thomsen, A, Eriksson, M, Kyvik, K, Litton, J, Perola, M, Rial-Sebbag, E

    Published 2012
    “…National biobank infrastructures are now being implemented in several European countries. …”
    Journal article
  2. 122

    Confound modelling in UK Biobank brain imaging by Alfaro-Almagro, F, McCarthy, P, Afyouni, S, Andersson, JLR, Bastiani, M, Miller, KL, Nichols, TE, Smith, SM

    Published 2020
    “…Dealing with confounds is an essential step in large cohort studies to address problems such as unexplained variance and spurious correlations. UK Biobank is a powerful resource for studying associations between imaging and non-imaging measures such as lifestyle factors and health outcomes, in part because of the large subject numbers. …”
    Journal article
  3. 123

    UK Biobank's cardiovascular magnetic resonance protocol by Petersen, SE, Neubauer, S, Matthews, P, Francis, J, Robson, MD, Zemrak, F, Boubertakh, R, Young, A, Hudson, S, Weale, P, Garratt, S, Collins, R, Piechnik, S, Neubauer, S

    Published 2016
    “…UK Biobank's ambitious aim is to perform cardiovascular magnetic resonance (CMR) in 100,000 people previously recruited into this prospective cohort study of half a million 40-69 year-olds.We describe the CMR protocol applied in UK Biobank's pilot phase, which will be extended into the main phase with three centres using the same equipment and protocols. …”
    Journal article
  4. 124

    Education is power: preserving cognition in the UK Biobank by Tari, B, Künzi, M, Pflanz, CP, Raymont, V, Bauermeister, S

    Published 2023
    “…</p> <p><strong>Methods:</strong> We investigated data from 502,357 individuals (Mage = 56.53, SDage = 8.09, 54.40% female) from the UK Biobank cohort via Structural Equation Modelling to illustrate links between predictor variables (i.e., Townsend Deprivation Index, coastal distance, greenspace, years of education), covariates (i.e., participant age) and cognitive function as outcome variables (i.e., pairs-matching, trail-making task B, fluid intelligence).…”
    Journal article
  5. 125

    OECI TuBaFrost tumor biobanking. by Riegman, P, Bosch, A

    Published 2008
    “…In addition, new infrastructure plans have been developed and the first preparatory steps have been set. For biobanks the BBMRI project has started aiming for Pan-European Biobanking and Biomolecular Resources Research Infrastructure.…”
    Journal article
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    Genotyping and population characteristics of the China Kadoorie Biobank by Walters, R, Millwood, I, Lin, K, Schmidt, D, Hacker, A, Avery, D, Fry, H, Collins, R, Hill, M, Peto, R, Clarke, R, Chen, Z

    Published 2023
    “…The China Kadoorie Biobank (CKB) is a population-based prospective cohort of >512,000 adults recruited from 2004 to 2008 from 10 geographically diverse regions across China. …”
    Journal article
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  12. 132

    Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank by Ruotong Yang, Jun Lv, Canqing Yu, Yu Guo, Pei Pei, Ninghao Huang, Ling Yang, Iona Y. Millwood, Robin G. Walters, Yiping Chen, Huaidong Du, Ran Tao, Junshi Chen, Zhengming Chen, Robert Clarke, Tao Huang, Liming Li, on behalf of the China Kadoorie Biobank Collaborative Group

    Published 2021-10-01
    “…Methods An ICVHMs based on smoking, drinking, physical activity, diets, body mass index, waist circumference, blood pressure, blood glucose, and blood lipids, and a polygenic risk score (PRS) for HF were constructed in the China Kadoorie Biobank (CKB) of 96,014 participants and UK Biobank (UKB) of 335,782 participants which were free from HF and severe chronic diseases at baseline. …”
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    Article
  13. 133

    Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank by Yang, R, Lv, J, Yu, C, Guo, Y, Pei, P, Huang, N, Yang, L, Du, H, Millwood, IY, Walters, RG, Chen, Y, Tao, R, Chen, J, Chen, Z, Clarke, R, Huang, T, Li, L

    Published 2021
    “…<br><br> <strong>Methods</strong> An ICVHMs based on smoking, drinking, physical activity, diets, body mass index, waist circumference, blood pressure, blood glucose, and blood lipids, and a polygenic risk score (PRS) for HF were constructed in the China Kadoorie Biobank (CKB) of 96,014 participants and UK Biobank (UKB) of 335,782 participants which were free from HF and severe chronic diseases at baseline.…”
    Journal article
  14. 134

    Intakes of major food groups in China and UK: results from 100,000 adults in the China Kadoorie Biobank and UK Biobank by Papier, K, Kakkoura, M, Guo, Y, Tong, T, Perez Cornago, A, Chang, WC, Chen, Z, Du, H, Key, T

    Published 2022
    “…We compared intakes of major food groups overall, by sex, and by socio-economic status (SES) (defined as both education and income), between participants in the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). <br><strong> Methods<br></strong> Data were from ~ 25,000 CKB participants who completed a validated interviewer-administered computer-based questionnaire (2013–2014) and ~ 74,000 UKB participants who completed ≥ 3 web-based 24-h dietary assessments (2009–2012). …”
    Journal article
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    Body fat distribution and systolic blood pressure in 10,000 adults with whole‐body imaging: UK Biobank and Oxford BioBank by Malden, M, Lacey, B, Emberson, J, Karbe, F, Allen, N, Bennett, D, Lewington, S

    Published 2019
    “…</p> <p><strong>Methods</strong> This analysis combined individual participant data from two large‐scale imaging studies: UK Biobank and Oxford BioBank. In both studies, participants were interviewed and measured, and they underwent dual‐energy x‐ray absorptiometry imaging. …”
    Journal article
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