1,745,472 research outputs found
The Legislative Initiative for Taiwan Biobank
No full text[[fileno]]2070404030013[[department]]科技法律研究
Harmonization of Biobank Education for Biobank Technicians: Identification of Learning Objectives
No full textThe quality of biospecimens stored in a biobank depends tremendously on the technical personnel responsible for processing, storage, and release of biospecimens. Adequate training of these biobank employees would allow harmonization of correct sample handling and thus ensure a high and comparable quality of samples across biobank locations. However, in Germany there are no specific training opportunities for technical biobank staff. To understand the educational needs of the technical personnel a web-based survey was sent to all national biobanks via established e-mail registers. In total, 79 biobank employees completed the survey, including 43 technicians. The majority of the participating technical personnel stated that they had worked in a biobank for less than three years and had never participated in an advanced training. Three-quarters of the technicians indicated that they were not able to understand English content instantly. Based on these results and the results of a workshop with 16 biobank technicians, 41 learning objectives were formulated. These learning objectives can be used as a basis for advanced training programs for technical personnel in biobanks. Setting up courses based on the identified learning objectives for this group of biobank staff could contribute to harmonization and sustainability of biospecimen quality.Bundesministerium für Bildung und Forschun
Egy konkrét biobank alkalmazás megvalósítása Java technológiával
No full textA dolgozatban egy konkrét biobank alkalmazás létrehozásához szükséges technológiák, eszközök kerülnek bemutatásra. Ismertetésre kerülnek továbbá a hozott döntések ok-okozati kérdései is, illetve az, hogy az adott technológiák, eszközök milyen céllal kerültek felhasználásra.MscProgramtervező informatiku
An Approach to Evaluate the Costs and Outputs of Academic Biobanks.
No full textAcademic biobanks commonly report sustainability challenges, which may be exacerbated by a lack of information on biobank value. To better understand the costs and supported outputs that contribute to biobank value, we developed a systematic, generalizable methodology to determine biobank inputs and publications arising from biobank-supported research. We then tested this in a small cohort (n = 12) of academic cancer biobanks in New South Wales, Australia. A proforma was developed to capture monetary and in-kind biobank costing data from biobank managers and publicly available sources. Participating biobanks were grouped and compared according to the following two classifications: open- versus restricted-access and high versus low total annual costs. Our methodology provides a feasible approach for capturing comprehensive costing data for a defined period. Characterization of biobanks using this approach showed that median total costs, as well as median staffing and in-kind costs, were comparable for open- and restricted-access biobanks, as were the quantity and journal impact metrics of supported publications. High- and low-cost biobanks supported similar median numbers of publications; however, high-cost biobanks supported publications with higher median journal impact factor and Altmetric scores. Overall, 9 of 10 biobanks had higher Field-Weighted Citation Impact scores than the global average for similar publications. This is the first tested, generalizable approach to analyze the costs and publications arising from biobank-supported research. By determining explicit cost and output data, academic biobanks, funders, and policymakers can engage in or support informed redirection of resourcing and/or benchmark setting with the aim of improving biobank support of research
Biobank Łódź® – population based biobank at the University of Łódź, Poland
No full textBiobank Laboratory of the University of Łódź is a unit in the organizational structure of the De- partment of Molecular Biophysics at the Faculty of Biology and Environmental Protection. It was established in 2014 as one of the results of the TESTOPLEK project. One of the main goals of the unit is to collect and share biological material of human origin and related clinical and survey data. Moreover, Biobank Laboratory conducts work in the field of genetics and molecular biology on human biological material. Biobank Laboratory gathers over 40.000 samples such as DNA, FFPE, saliva, together with their data. Data about its material is available for researchers in directories e.g. BBMRI-ERIC Directory 4.0. Since 2014, the unit belongs to the national Consortium BBMRI.pl, and since 2017 it executes a project entitled Research Infrastructure for Biobanks and Biomolecular Resources BBMRI-ERIC, co-creating the Polish Network of Biobanks. Biobank Laboratory is focused on coopera- tion with domestic and foreign scientific institutions and medical units, as well as entities from the local, business and public sector
Genotyping and population characteristics of the China Kadoorie Biobank
No full textThe 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. Detailed data from questionnaires and physical measurements were collected at baseline, with additional measurements at three resurveys involving ∼5% of surviving participants. Analyses of genome-wide genotyping, for >100,000 participants using custom-designed Axiom arrays, reveal extensive relatedness, recent consanguinity, and signatures reflecting large-scale population movements from recent Chinese history. Systematic genome-wide association studies of incident disease, captured through electronic linkage to death and disease registries and to the national health insurance system, replicate established disease loci and identify 14 novel disease associations. Together with studies of candidate drug targets and disease risk factors and contributions to international genetics consortia, these demonstrate the breadth, depth, and quality of the CKB data. Ongoing high-throughput omics assays of collected biosamples and planned whole-genome sequencing will further enhance the scientific value of this biobank
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke
No full textAbstract Background Better phenotyping of routinely collected coded data would be useful for research and health improvement. For example, the precision of coded data for hemorrhagic stroke (intracerebral hemorrhage [ICH] and subarachnoid hemorrhage [SAH]) may be as poor as < 50%. This work aimed to investigate the feasibility and added value of automated methods applied to clinical radiology reports to improve stroke subtyping. Methods From a sub-population of 17,249 Scottish UK Biobank participants, we ascertained those with an incident stroke code in hospital, death record or primary care administrative data by September 2015, and ≥ 1 clinical brain scan report. We used a combination of natural language processing and clinical knowledge inference on brain scan reports to assign a stroke subtype (ischemic vs ICH vs SAH) for each participant and assessed performance by precision and recall at entity and patient levels. Results Of 225 participants with an incident stroke code, 207 had a relevant brain scan report and were included in this study. Entity level precision and recall ranged from 78 to 100%. Automated methods showed precision and recall at patient level that were very good for ICH (both 89%), good for SAH (both 82%), but, as expected, lower for ischemic stroke (73%, and 64%, respectively), suggesting coded data remains the preferred method for identifying the latter stroke subtype. Conclusions Our automated method applied to radiology reports provides a feasible, scalable and accurate solution to improve disease subtyping when used in conjunction with administrative coded health data. Future research should validate these findings in a different population setting
Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts.
No full textPolygenic risk scores (PRSs) have been widely explored in precision medicine. However, few studies have thoroughly investigated their best practices in global populations across different diseases. We here utilized data from Global Biobank Meta-analysis Initiative (GBMI) to explore methodological considerations and PRS performance in 9 different biobanks for 14 disease endpoints. Specifically, we constructed PRSs using pruning and thresholding (P + T) and PRS-continuous shrinkage (CS). For both methods, using a European-based linkage disequilibrium (LD) reference panel resulted in comparable or higher prediction accuracy compared with several other non-European-based panels. PRS-CS overall outperformed the classic P + T method, especially for endpoints with higher SNP-based heritability. Notably, prediction accuracy is heterogeneous across endpoints, biobanks, and ancestries, especially for asthma, which has known variation in disease prevalence across populations. Overall, we provide lessons for PRS construction, evaluation, and interpretation using GBMI resources and highlight the importance of best practices for PRS in the biobank-scale genomics era
amazon-biobank/biobank: Demonstration
No full textExecutable build for demonstration. Contains a testing credential for use by external users.
Updates: reduced the number of channels from 2 to
Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
No full textAbstract Background Both genetic and cardiovascular factors contribute to the risk of developing heart failure (HF), but whether idea cardiovascular health metrics (ICVHMs) offset the genetic association with incident HF remains unclear. Objectives To investigate the genetic association with incident HF as well as the modification effect of ICVHMs on such genetic association in Chinese and British populations. 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. Results During the median follow-up of 11.38 and 8.73 years, 1451 and 3169 incident HF events were documented in CKB and UKB, respectively. HF risk increased monotonically with the increase of PRS per standard deviation (CKB: hazard ratio [HR], 1.19; 95% confidence interval [CI], 1.07, 1.32; UKB: 1.07; 1.03, 1.11; P for trend 0.05). Participants with low genetic risk and favorable ICVHMs, as compared with high genetic risk and unfavorable ICVHMs, had 56~72% lower risk of HF (CKB 0.44; 0.28, 0.70; UKB 0.28; 0.22, 0.37). No additive interaction between PRS and ICVHMs was observed (relative excess risk due to interaction was 0.05 [−0.22, 0.33] in CKB and 0.04 [−0.14, 0.22] in UKB). Conclusions In CKB and UKB, genetic risk and ICVHMs were independently associated with the risk of incident HF, which suggested that adherence to favorable cardiovascular health status was associated with a lower HF risk among participants with all gradients of genetic risk
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