Opportunities for promoting open data in the Caribbean through biobanks by Sushant Saluja, Simon G. Anderson

Subjects: “…biobanks…”
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BIOSKIN: A Protocol for the Copenhagen Translational Skin Immunology Biobank and Research Programme by Lone Skov, Jeanne Duus Johansen, Marianne Bengtson Løvendorf

“…Introduction Psoriasis, atopic dermatitis and contact dermatitis are common chronic inflammatory skin diseases that have a significant impact on individuals and society.Methods and analysis The Copenhagen Translational Skin Immunology Biobank and Research Programme (BIOSKIN) is a translational biobank and research study that aims to prospectively collect high-quality biological samples and clinical data from 3000 patients with psoriasis, atopic dermatitis and contact dermatitis over a minimum period of 5 years. …”
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Association of urban green and blue space with accelerated ageing: A cohort Study in the UK Biobank by YiNi Wang, XinYu Shi, Fei Yang, ShengYuan Wang, TianShu Han, Kun Ma

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Multi-dimensional evidence from the UK Biobank shows the impact of diet and macronutrient intake on aging by Chen Zhu, Youfa Wang, Xiaosong Yang, Qiran Zhao, Wenyan Xu, Xiaolu Wang, Yanjun Liang, Qihui Chen, Shenggen Fan

“…Methods We analyzed data from the UK Biobank baseline survey and a 24-hour dietary assessment survey to investigate the association between diet and aging. …”
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The advantages of rare disease biobanking: A localised source of genetic knowledge to benefit the South African rare disease community and related stakeholders worldwide by M Dercksen, E H Conradie, C J Hendriksz, H Malherbe, B C Vorster

Subjects: “…biobank…”
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A generative model for evaluating missing data methods in large epidemiological cohorts by Lav Radosavljević, Stephen M. Smith, Thomas E. Nichols

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Distinctive blood and salivary proteomics signatures in Qatari individuals at high risk for cardiovascular disease by Ghada Yousif, Selvasankar Murugesan, Mohamed Nadhir Djekidel, Annalisa Terranegra, Giusy Gentilcore, Jean Charles Grivel, Souhaila Al Khodor

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Beverage consumption modifies the risk of type 2 diabetes associated with ambient air pollution exposure by Chaonan Fan, Wenjuan Wang, Wenxue Xiong, Zhiyao Li, Li Ling

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Causal Effects of Sleep Traits on Angina Pectoris: Mediation by Cardiovascular Risk Factors by Zeng C, Ke Y, Li H, Zhang C, Chen J, Chen M

“…Our study aims to declare the causality of sleep traits on AP by Mendelian randomization (MR) analyses.Methods: Genome-wide association study (GWAS) data of sleep traits (sleep duration, insomnia, nap during day, chronotype, getting up in morning, narcolepsy, snoring) were obtained from the UK Biobank. The AP datasets came from an analysis containing samples from the UK biobank, FinnGen, and BioBank Japan. …”
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Associations of cachexia and frailty with amyotrophic lateral sclerosis by Tracy L. Peters, Weihong Qiu, Haomin Yang, Wuqing Huang, Yizhen Hu, Zhangyu Zou, Weimin Ye

“…In this prospective study, we extracted cachexia and frailty status from the UK Biobank cohort to study the associations of these conditions (as determined via international classification of disease-10 codes) with amyotrophic lateral sclerosis. …”
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Investigating the role of iron status in the development of coeliac disease: a Mendelian randomisation study by Isabel A Hujoel, Margaux Louise Anna Hujoel

“…The association between these SNPs and coeliac disease was assessed using GWAS summary statistics from the UK Biobank. This consists of 336 638 white British individuals, 1855 with coeliac disease. …”
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Causal associations between dietary habits and liver cancer risk: a two-sample Mendelian randomization study by Wen-Hao Hu, Jia-An Sun, Chang Liu

“…Methods Exposure data, encompassing various dietary habits such as the consumption of dried and fresh fruits, both cooked and raw vegetables, types of fish (oily and nonoily), and beverages such as tea and coffee, as well as different meats (poultry, beef, pork, and processed), were obtained from the UK Biobank. Conversely, outcome data were derived from the FinnGen study. …”
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Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits by Jeffrey Okamoto, Xianyong Yin, Brady Ryan, Joshua Chiou, Francesca Luca, Roger Pique-Regi, Hae Kyung Im, Jean Morrison, Charles Burant, Eric B. Fauman, Markku Laakso, Michael Boehnke, Xiaoquan Wen

“…We apply Multi-INTACT to GWAS on 1408 metabolites, integrating the GTEx expression and UK Biobank protein QTL datasets. Multi-INTACT infers 52 to 109% more metabolite causal genes than protein-alone or expression-alone analyses and indicates both gene products are relevant for most gene nominations.…”
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Causal relationship between educational attainment and the occurrence of venous thromboembolism by Sitong Guo, Sitao Tan, Shiran Qin, Dandan Xu, Henghai Su, Xiaoyu Chen

“…Results Genetically predicted decreased EA was associated with a decreased risk of VTE in both the FinnGen consortium and UK Biobank (FinnGen-VTE: OR = 0.848; 95% CI 0.776—0.927; P = 2.84 × 10–4; UKB-VTE OR = 0.996; 95% CI 0.994—0.999; P = 0.008) under a multiplicative random-effects IVW model. …”
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Creatine and pregnancy outcomes, a prospective cohort study in low-risk pregnant women: study protocol by Deborah L De Guingand, Stacey J Ellery, Miranda L Davies-Tuck, Hayley Dickinson

“…Cord blood and placenta (including membranes and cord) are collected at birth. A biobank of tissue samples for future research is being established. …”
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Genome-wide association study of the fatty liver index in the Taiwanese population reveals shared and population-specific genetic risk factors across ethnicities by Pei Pei Lau, Chun-Yu Wei, Min-Rou Lin, Wan-Hsuan Chou, Yu-Jui Yvonne Wan, Wei-Chiao Chang

“…Results In this study, a total of 145,356 Taiwan Biobank participants were included in the discovery analysis. …”
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Genetic evidence for the liver-brain axis: lipid metabolism and neurodegenerative disease risk by Zeyu Wang, Zixiao Yin, Guangyong Sun, Dong Zhang, Jianguo Zhang

“…The research incorporated UK Biobank genomic data to examine associations between genetic variants and lipid metabolism parameters. …”
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Anxiety disorder, depression and coronary artery disease: associations and modification by genetic susceptibility by Shinya Nakada, Joey Ward, Rona J. Strawbridge, Paul Welsh, Carlos Celis-Morales, Frederick K. Ho, Jill P. Pell

“…Methods This is a prospective cohort study using UK Biobank. Diagnoses of anxiety disorder and depression were ascertained through linked hospital admission data. …”
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Multi-omic spatial effects on high-resolution AI-derived retinal thickness by V. E. Jackson, Y. Wu, R. Bonelli, J. P. Owen, L. W. Scott, S. Farashi, Y. Kihara, M. L. Gantner, C. Egan, K. M. Williams, B. R. E. Ansell, A. Tufail, A. Y. Lee, M. Bahlo

“…Retinal thickness measurements are procured from optical coherence tomography (OCT) as part of routine clinical eyecare. We processed the UK Biobank OCT images using a convolutional neural network to produce fine-scale retinal thickness measurements across > 29,000 points in the macula, the part of the retina responsible for human central vision. …”
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SPAGRM: effectively controlling for sample relatedness in large-scale genome-wide association studies of longitudinal traits by He Xu, Yuzhuo Ma, Lin-lin Xu, Yin Li, Yufei Liu, Ying Li, Xu-jie Zhou, Wei Zhou, Seunggeun Lee, Peipei Zhang, Weihua Yue, Wenjian Bi

“…Applying SPAGRM to 79 longitudinal traits extracted from UK Biobank primary care data, we identified 7,463 genetic loci, making a pioneering attempt to conduct GWAS for these traits as longitudinal traits.…”
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