Infrastructure for collaboration: Leeds MRC Medical Bioinformatics Centre

合作基础设施：利兹 MRC 医学生物信息学中心

• 批准号: MR/L01629X/1
• 负责人: Alexander Markham
• 金额: $ 885.92万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FL01629X%2F1
• 关键词: Infrastructure; collaboration; Leeds; MRC; Medical

For some years medical research has been advanced by new technologies that generate very large amounts of biological data in digital format, for example, new methods that generate very detailed and often three-dimensional images of arthritic joints or new ways of sequencing DNA that bring information on inherited disease. Until recently many of these methods have been limited to research studies, clinical trials and small numbers of patients but recent advances mean that we can now contemplate a future where every individual may know their genome sequence, and where most people will have medical investigations that generate this type of data in routine practice.In parallel to these developments, the UK NHS is increasingly moving away from using paper to store vital information about patient care and adopting modern computer systems which store patients' health records in a secure electronic format. These patient records are valuable data from which we can learn a great deal about the efficacy of health care and the long term effects of treatments. However, it is clear that the value of these health care records to research will be increased if they can be effectively linked to the large scale data described above. It will be possible for instance to make detailed investigations of how treatments may be better or worse depending on the genetics of the person receiving them, and help move towards a world of personalised medicine.Bringing large amounts of varied and complex data from different sources is not without challenge. The data need to be accessible and usable by those with a broad range of backgrounds, including researchers familiar with using complex research data and clinicians familiar with accessing patient records. There are also issues around ethics and privacy, plus the development and sustainability of necessary powerful computing infrastructure to support the linking and secure sharing of data between NHS and research institutions. We aim to overcome these challenges through the creation of the Leeds MRC Medical Bioinformatics Centre which will develop and sustain the infrastructure, experience and facilities needed to undertake ground-breaking research at the point where clinical, health and research data meet. This will be achieved by bringing together a strong team who between them have extensive experience spanning all aspects of the relevant areas including direct patient care, high performance computing, statistics, biomedical and health research. The Centre will build on established and successful links between the University of Leeds, the Leeds Teaching Hospital Trust (LTHT), an external company specialising in medical record systems (The Phoenix Partnership, (TPP)) and the Leeds-based NHS Health & Social Care Information Centre (HSCIC). The Centre will bring together state of the art technology for visualising data and provide a hub for the training of future researchers in this rapidly developing and complex area. The computing infrastructure will be used to establish a Shared Virtual Datacentre (SVD) which will provide researchers with a highly secure and powerful computing platform. The Centre will be set up over the first two years of this project, and will support an increasing number of research projects aiming directly at health care improvements. Initial projects will focus on inherited diseases (the genetic causes of neuro-developmental delay), kidney disease (detecting kidney injury before complications ensue), skin cancer (understanding what leads it to spread) and colorectal cancer (understanding the long term effects of surgery combined with radiotherapy). These projects will demonstrate the ways that our Centre will develop new insights into the factors that drive disease, and provide indicators that inform treatment leading to better, more personalised and more effective medicine and health care.

几年来，医学研究一直通过新技术进行了提高，这些技术以数字形式产生了大量的生物学数据，例如，新方法产生了非常详细的，通常是关节的三维图像或测序的DNA的新方法，以带来有关遗传疾病的信息。直到最近，这些方法中的许多方法都仅限于研究，临床试验和少量患者，但最近的进步意味着我们现在可以考虑每个人都可能知道其基因组序列，并且大多数人都会进行医学调查，这些医学调查在常规练习中产生这种类型的数据。在与这些发展中的这些发展相似，英国NHS从纸张中越来越多地使用纸张来存储现代化的现代信息。这些患者记录是有价值的数据，我们可以从中可以从中了解医疗保健的功效和治疗的长期影响。但是，很明显，如果这些医疗保健记录的价值可以有效地与上述大规模数据联系在一起，则将增加研究。例如，可以根据接受人的遗传学的遗传来详细研究如何更好或更糟，并有助于迈向一个个性化医学的世界。从不同来源中培养大量不同和复杂的数据并非没有挑战。具有广泛背景的人需要可以访问和使用数据，包括熟悉使用复杂研究数据的研究人员以及熟悉访问患者记录的临床医生。围绕道德和隐私的问题，以及必要强大的计算基础架构的发展和可持续性，以支持NHS和研究机构之间数据的链接和安全共享。我们的目标是通过创建利兹MRC医学生物信息学中心来克服这些挑战，该中心将在临床，健康和研究数据相遇的那一刻开发和维持进行扎根研究所需的基础设施，经验和设施。这将通过将一个强大的团队召集在一起，他们之间拥有丰富的经验，这些方面涵盖了相关领域的各个方面，包括直接患者护理，高性能计算，统计，生物医学和健康研究。该中心将建立在利兹大学，利兹教学医院信托基金会（LTHT）之间的既定和成功联系，这是一家专门从事医疗记录系统（Phoenix Partnership（TPP））和位于利兹的NHS NHS健康与社会护理信息中心（HSCIC）的外部公司。该中心将汇集最先进的技术，以可视化数据，并为在这个迅速发展且复杂的领域中培训未来的研究人员提供枢纽。计算基础架构将用于建立共享的虚拟数据中心（SVD），该数据中心（SVD）将为研究人员提供高度安全且功能强大的计算平台。该中心将在该项目的前两年建立，并将支持越来越多的研究项目，直接针对医疗保健改善。最初的项目将集中于遗传疾病（神经发展延迟的遗传原因），肾脏疾病（随后发生并发症前检测肾脏损伤），皮肤癌（了解导致其扩散的原因）和结直肠癌（了解手术的长期影响与放射治疗相结合）。这些项目将展示我们中心将对驱动疾病因素的新见解的方式，并提供指标，从而为治疗提供依据，从而导致更好，更个性化，更有效的医学和医疗保健。

项目成果

A comparison of time to event analysis methods, using weight status and breast cancer as a case study.

• DOI: 10.1038/s41598-021-92944-z
• 发表时间: 2021-07-07
• 期刊: Scientific reports
• 影响因子: 4.6
• 作者: Aivaliotis G;Palczewski J;Atkinson R;Cade JE;Morris MA
• 通讯作者: Morris MA

Sharing patient data: understanding anonymisation.

共享患者数据：理解匿名化。

• DOI: 10.1136/bmj.k2700
• 发表时间: 2018
• 期刊: BMJ (Clinical research ed.)
• 作者: Affleck P

Framing Options as Choice or Opportunity: Does the Frame Influence Decisions?

• DOI: 10.1177/0272989x14529624
• 发表时间: 2014-07-01
• 期刊: MEDICAL DECISION MAKING
• 影响因子: 3.6
• 作者: Abhyankar, Purva;Summers, Barbara A.;Bekker, Hilary L.
• 通讯作者: Bekker, Hilary L.

Neurostimulation of the gastrointestinal tract: review of recent developments.

• DOI: 10.1111/ner.12260
• 发表时间: 2015-04
• 期刊: Neuromodulation : journal of the International Neuromodulation Society
• 作者: Abell TL;Chen J;Emmanuel A;Jolley C;Sarela AI;Törnblom H
• 通讯作者: Törnblom H

A cluster-randomised controlled trial to assess the effectiveness and cost-effectiveness of a childhood obesity prevention programme delivered through schools, targeting 6-7 year old children: the WAVES study protocol.

• DOI: 10.1186/s12889-015-1800-8
• 发表时间: 2015-05-13
• 期刊: BMC public health
• 影响因子: 4.5
• 作者: Adab P;Pallan MJ;Lancashire ER;Hemming K;Frew E;Griffin T;Barrett T;Bhopal R;Cade JE;Daley A;Deeks J;Duda J;Ekelund U;Gill P;McGee E;Parry J;Passmore S;Cheng KK
• 通讯作者: Cheng KK