Showing 181 - 200 results of 207 for search '"biobank"', query time: 0.05s Refine Results
  1. 181

    Long-Term Impact of Using Mobile Phones and Playing Computer Games on the Brain Structure and the Risk of Neurodegenerative Diseases: Large Population-Based Study by Yi Xiao, Sirui Zhang, Yuanzheng Ma, Shichan Wang, Chunyu Li, Yan Liang, Huifang Shang

    Published 2025-01-01
    “…MethodsWe used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD). …”
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  2. 182

    Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer by Congcong Chen, Yang Li, Yayun Gu, Qiqi Zhai, Songwei Guo, Jun Xiang, Yuan Xie, Mingxing An, Chenmeijie Li, Na Qin, Yanan Shi, Liu Yang, Jun Zhou, Xianfeng Xu, Ziye Xu, Kai Wang, Meng Zhu, Yue Jiang, Yuanlin He, Jing Xu, Rong Yin, Liang Chen, Lin Xu, Juncheng Dai, Guangfu Jin, Zhibin Hu, Cheng Wang, Hongxia Ma, Hongbing Shen

    Published 2025-02-01
    “…We developed a modified polygenic risk score using the potential causal variants from Chinese populations, improving the performance of risk prediction in 450,821 Europeans from the UK Biobank. Our findings not only augment the understanding of the genetic architecture underlying NSCLC susceptibility but also provide strategy to advance NSCLC risk stratification.…”
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  3. 183

    Neurotrophin-3 as a mediator in the link between PM2.5 exposure and psychiatric disorders: A Mendelian randomization study by Yuan Zhang, Wei Wang, Xuening Zhang, Ran Jing, Xin Wen, Peng Xiao, Xinjie Liu, Zengle Zhao, Tongmin Chang, Yufei Li, Wen Liu, Chenxi Sun, Xiaorong Yang, Lejin Yang, Ming Lu

    Published 2025-01-01
    “…Methods: We used genome-wide association study datasets from the UK Biobank and Psychiatric Genomics Consortium to systematically investigate the causal relationship between PM2.5 and nine common psychiatric disorders using two-sample Mendelian randomization (TSMR) methods. …”
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  4. 184

    Can social adversity and mental, physical and oral multimorbidity form a syndemic? A concept and protocol paper by Easter Joury, Easter Joury, Eliana Nakhleh, Ed Beveridge, Derek Tracy, Derek Tracy, Derek Tracy, Derek Tracy, Ellie Heidari, Ellie Heidari, David Shiers, David Shiers, David Shiers, Silke Vereeken, Emily Peckham, Simon Gilbody, Simon Gilbody, Jayati Das-Munshi, Farida Fortune, Farida Fortune, Vishal R. Aggarwal, Masuma Mishu, Masuma Mishu, Joseph Firth, Joseph Firth, Kamaldeep Bhui, Kamaldeep Bhui, Kamaldeep Bhui, Kamaldeep Bhui

    Published 2025-01-01
    “…Thus, the present project aimed to (i) test for syndemic interactions between social adversity (socioeconomic adversity and traumatic events) and mental, physical and oral multimorbidity using the syndemic theoretical framework; and (ii) determine whether the syndemic relationships vary by age, sex and ethnicity.MethodsData from three large-scale population-based databases: UK BioBank, US National Health and Nutrition Examination Survey (NHANES) and the Research with East London Adolescents Community Health Survey (RELACHS) will be analysed. …”
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  5. 185

    Association of accelerated phenotypic aging, genetic risk, and lifestyle with progression of type 2 diabetes: a prospective study using multi-state model by Lulu Pan, Yahang Liu, Chen Huang, Yifang Huang, Ruilang Lin, Kecheng Wei, Ye Yao, Guoyou Qin, Yongfu Yu

    Published 2025-02-01
    “…Methods We conducted a prospective cohort study that included 376,083 adults free of T2D and diabetes-related events at baseline in UK Biobank. PhenoAgeAccel > 0 and ≤ 0 were defined as biologically older and younger than chronological age. …”
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  6. 186

    Early-life tobacco smoke elevating later-life osteoporosis risk: Mediated by telomere length and interplayed with genetic predisposition by Dongsheng Di, Haolong Zhou, Zhangbo Cui, Jianli Zhang, Qian Liu, Tingting Yuan, Tingting Zhou, Xiao Luo, Danyang Ling, Qi Wang

    Published 2025-02-01
    “…Methods: Data on in utero tobacco smoke exposure (IUTSE) status and age of tobacco use initiation from the UK Biobank were used to estimate early-life tobacco smoke exposure. …”
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  7. 187
  8. 188

    Relationship between physical activity level, leisure sedentary time, and frailty among residents aged 30 – 79 years in Wuzhong district, Suzhou city: a baseline surveillance data... by Xikang FAN, Jiang HUA, Jian SU, Hao YU, Yan LU, Yujie HUA, Jianrong JIN, Pei PEI, Dianjianyi SUN, Canqing YU, Jun LYU, Jinyi ZHOU, Ran TAO

    Published 2024-12-01
    “…MethodsData were collected from 53 269 residents aged 30 – 79 years in Wuzhong district, Suzhou city, who participated in the baseline survey of the China Kadoorie Biobank (CKB) from November 2004 to January 2008. …”
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  9. 189
  10. 190

    Healthcare and the Effect of Technology : developments, challenges and advancements / by Kabene, Stefane M

    Published 2010
    Table of Contents: “…Shah, Kaveepan Lertwachara, Anteneh Ayanso -- Biobanking : justice, social consensus, and the marginalized / Robert J. …”
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  11. 191

    Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model de... by Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon

    Published 2025-02-01
    “…The Korean cohort (NHIS-NSC cohort; discovery cohort; n = 973,303), conducted between 1 January, 2002 and 31 December, 2013, was used for training and internal validation, whereas the Japanese cohort (JMDC cohort; validation cohort A; n = 12,143,715) and UK cohort (UK Biobank; validation cohort B; n = 416,656) were used for external validation. …”
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  12. 192

    A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care dataResearch in context by Olivia Murrin, Ninon Mounier, Bethany Voller, Linus Tata, Carlos Gallego-Moll, Albert Roso-Llorach, Lucía A. Carrasco-Ribelles, Chris Fox, Louise M. Allan, Ruby M. Woodward, Xiaoran Liang, Jose M. Valderas, Sara M. Khalid, Frank Dudbridge, Sally E. Lamb, Mary Mancini, Leon Farmer, Kate Boddy, Jack Bowden, David Melzer, Timothy M. Frayling, Jane A.H. Masoli, Luke C. Pilling, Concepción Violán, João Delgado

    Published 2025-03-01
    “…Methods: We defined chronic, common, and heritable conditions in individuals aged ≥65 years, using two large primary-care databases [CPRD (UK) N = 2,425,014 and SIDIAP (Spain) N = 1,053,640], and estimated heritability using the same definitions in UK Biobank (N = 451,197). We used logistic regression to estimate the co-occurrence of pairs of conditions in the primary care data. …”
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  13. 193
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  16. 196

    Umbilical Cord as Prospective Source for Mesenchymal Stem Cell-Based Therapy by Irina Arutyunyan, Andrey Elchaninov, Andrey Makarov, Timur Fatkhudinov

    Published 2016-01-01
    “…Prospects for the use of mesenchymal stem cells, derived from the umbilical cord, in cell transplantation are associated with the need for specialized biobanking and transplant standardization criteria.…”
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  17. 197
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  19. 199

    Single‐egg comet assay: A protocol to quantify DNA damage in natural bioarchives by Rejin Salimraj, Alessio Perotti, Marcin W. Wojewodzic, Dagmar Frisch

    Published 2025-02-01
    “…More generally, the SE‐CA is applicable to testing DNA integrity in individual propagules prior to genome sequencing or to quantify environmental impacts on natural sedimentary biobanks.…”
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  20. 200

    A Unique Source for Innovative Longitudinal Research: The POPLINK Database by Annika Westberg, Elisabeth Engberg, Sören Edvinsson

    Published 2016-03-01
    “…POPLINK has been built to allow linkage to modern registries, clinical data and medical biobanks, which enables the study of transgenerational effects, heredity and genetic transfers in disease incidence of the population today. …”
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