NIHRDataInsights/HRCSData huggingface dataset:
Title: Generation Scotland:NextGenScot
Funder: Wellcome Trust

Abstract: Generation Scotland:NextGenScot (NextGenScot) builds upon the proven success and research value of Generation Scotland (GS). We will extend the reach and relevance of GS through recruitment of additional members and younger relatives of current participants. Our vision is to transform GS from a cross-sectional, adult-only study into a longitudinal, multi-generational, life-course study that can address how genetic factors and environmental exposures influence disease risk, resilience and outcome. As for GS, we will: • engage with participants to shape the study objectives and seek broad consent for medically-relevant academic and commercial research, • seek consent to recontact for participation in follow-on enhancement studies, our proven mechanism to enrich the baseline data, • actively facilitate hypothesis and data-driven science by research users, openly sharing our research findings. NextGenScot expands GS to create an enhanced resource of scale (n=40,000), depth and rich annotation through: 1. self-report and serial remote data capture of health and lifestyle information; 2. e-HR linkage (from ‘birth-to-death’, updated annually); and 3. biological samples (collected at recruitment and longitudinally). NextGenScot would be the UK’s largest multi-generation study of clinical, biochemical, genetic, epigenetic and environmental health determinants, allowing estimation and determination of transgenerational effects (social, environmental and genetic) on disease risk and resilience.

Lay abstract: Our physical and mental health is strongly influenced by a mix of genetic (inherited), lifestyle and environmental factors. We need to look at all three factors to properly understand individual risks of developing one disease or another. We really want to understand these influences from early life through to adulthood and old age. We’ll do this by building on the success of Generation Scotland, our current study of families in Scotland. We’ll invite younger family members to donate samples for genetic studies, answer lifestyle questionnaires, link these to the rich set of medical records held by NHS Scotland and follow them up over time. From this, we expect to discover important clues about the balance of factors that affect our physical and mental health. We’ll learn how to spot problems early and how each person is likely to respond to different treatment options.

Research activity codes: 2.4 SURVEILLANCE AND DISTRIBUTION
Health categories: GENERIC HEALTH RELEVANCE
Title: Nuclear RNA processing and surveillance
Funder: Wellcome Trust

Abstract: All eukaryotic RNAs are substrates for nuclear RNA processing and quality control systems. These are generally well conserved between yeast and humans but, despite their ubiquity and importance, key features remain unclear. We will address these using newly developed techniques, initially with genome-wide analyses and then focusing on specific interactions to determine the functional significance of general features and correlations. Numerous long non-protein-coding RNAs (lncRNAs) are transc ribed in yeast and other eukaryotes. We will test the hypothesis that distinct mRNA and lncRNA fates are conferred cotranscriptionally and determine what gene features underlie these distinctions (Aim 1). Many human lncRNAs appear to interact with chromatin factors, but obtaining detailed, functional understanding remains technically challenging. We will identify yeast chromatin modifying enzymes and other chromatin-associated proteins that bind RNA in vivo, define the RNA targets for these fact ors and determine the consequences of disrupting the interaction sites in the protein and RNA (Aim 2). To better understand the functional importance of these protein-RNA interactions, we will assess their impact during metabolic shifts, when many genes must be rapidly activated or repressed (Aim 3). The snoRNA class of ncRNA generally directs rRNA modification but we identified binding sites in many nuclear pre-mRNAs. We will identify medically relevant, pre-mRNA targets for brain-specific, hum an snoRNAs (Aim 4). Ribosome synthesis plays a key role in cell growth and division in all organisms. We will combine biochemical and structural approaches to understand the crucial, but poorly characterised, cotranscriptional steps in pre-ribosome assembly (Aim 5).


Research activity codes: 1.1 NORMAL BIOLOGICAL DEVELOPMENT AND FUNCTIONING
Health categories: GENERIC HEALTH RELEVANCE
Title: Children Growing up in Liverpool (C-GULL) Birth Cohort and CityLab Linked Data
Funder: Wellcome Trust

Abstract: Children Growing Up in LiverpooL (C-GULL) is a novel longitudinal research platform combining civic (CityLab) and birth (10,000 first-borns; triad design) cohorts. The scientific and civic aims share a need to better understand: non-communicable diseases trajectories, mental health and developmental/educational prosperity by focusing on connected determinants of child health in one of the UK’s most disadvantaged cities. We will identify early-life determinants and interventions for diseases including childhood/adult obesity, cardiovascular disease, asthma and mental health, and evaluate the impacts of systems change interventions to improve early years outcomes. The findings will be relevant for tackling health inequalities globally. Women will be recruited during the first trimester of pregnancy over a 42-month period at Liverpool Women’s Hospital. Extensive biological, biometric, socio-demographic and psychosocial information will be collected at two time points in pregnancy, at birth, 2–3 months, one year, two years and five years of age. The deep clinical, psychosocial and molecular phenotyping of this large cohort will be linked to routinely-collected data on the health & social care, education and welfare systems underpinning child health, lessening the burden on participants, and allowing the collection of additional data via emerging digital media that instrument behavioural, social and environmental factors.

Lay abstract: Liverpool is a disadvantaged city with high levels of illnesses including obesity, cancer, heart disease and mental ill-health, all more common in poor populations and in people who are born early and/or smaller than other babies. Birth cohorts are large studies of babies (and their families) born around the same time and followed up for many years. They help us understand the connection between poverty, pregnancy and childhood, and the later development of illness. We will establish a new birth cohort of 10,000 children and their families in Liverpool. This study will be part of a larger study of around a third of a million children whose data will be securely and confidentially obtained from hospital, GP, school and other places, then anonymised before conducting analyses to better understand the link between early-life and later poor health. These health problems are common internationally, so our work will have global impact.

Research activity codes: 2.3 PSYCHOLOGICAL, SOCIAL AND ECONOMIC FACTORS
Health categories: GENERIC HEALTH RELEVANCE
Title: Wellcome Manufacturing Facility for First-in-Patient Complex Medical Devices
Funder: Wellcome Trust

Abstract: The Wellcome Trust is funding a unique manufacturing facility for complex medical devices. The new facility will be fully staffed, equipped and certified to build Class II & Ill medical devices for use in clinical studies. This will facilitate the translation of research to patients, and allow academic research supported by innovation funding to develop and deliver life-saving technologies. This will promote the reputation of UK Academic research worldwide

Lay abstract: The regulatory environment in the UK (and EU) for the manufacture of complex medical devices (e.g. active implants like the pacemaker) is such that there are few, often none, facilities for researchers to produce prototypes for First-in-Patient clinical evaluation. Consequently, teams supported by the Wellcome or EPSRC are unable to test their products in humans. In the absence of clinical data, the devices cannot be adopted by the clinicians, thus patients do not benefit. We will create a dedicated manufacturing facility, fully staffed and equipped to build, and certify, advanced medical devices for first-in-patient clinical studies. The challenges to delivering this efficiently are considerable but we have channelled the team’s expertise into a well-developed strategy based on common needs identified for two families of devices: Multi-Modal Surgical Instruments, and Active Implantable Medical Devices. With regulatory support for MHRA applications, our Facility will enable Wellcome/EPSRC funded research to achieve its full impact and improve people’s lives. The goals are: to successfully commission and certify the manufacturing cleanrooms; to create an agile Quality Management System, also certified, versatile for the mixed use of the Facility, and a method to validate new manufacturing processes ad hoc; to build a critical mass of regulatory knowledge specific to MHRA applications for First-in-Patient uses of complex medical devices; to demonstrate the potential of the Facility with flagship products tested in patients for the first time; to implement the production of devices for named-patients on humanitarian grounds; and finally to establish the longer-term sustainability of our Facility.

Research activity codes: 5.3 MEDICAL DEVICES
Health categories: GENERIC HEALTH RELEVANCE
Title: Dynamic Molecular Cell Biology
Funder: Wellcome Trust

Abstract: Identifying disease-associated genes, mutations and perturbed expression is only the first stage towards understanding human disease and the development of therapeutics. In Bristol we aspire to understand gene function and the proteins they encode across spatial scales, from the molecular level through to functional studies in cells, tissues and organisms. Since proteins, cells and tissues are all dynamic, wherever possible these processes need to be studied through multiple timescales. Advances in spatial and temporal resolution of microscopy provide opportunities to study processes at an unprecedented level across molecular and cellular scales. Only by combining these approaches will we truly understand organismal-level health, the pathoetiology of diseases and provide rational therapeutic routes to relieve them. This relies on biologists operating at the interface between molecular and cell biology. Our Wellcome programme will recruit, support and train a new generation of PhD students in Biomedical Research, with a broad base and understanding of molecular cell biology techniques coupled with world-class expertise in their PhD topic. These students will be trained to become future leaders in a wide range of careers, founded upon a holistic and rounded personal and professional development, which incorporates the best practice in PhD training.


Research activity codes: 1.5 RESOURCES AND INFRASTRUCTURE (UNDERPINNING)
Health categories: GENERIC HEALTH RELEVANCE
Title: Health data in practice: human-centred science
Funder: Wellcome Trust

Abstract: The availability, scale and depth of data collected in the course of health care, by or about patients - combined with data-driven approaches to its analysis – is creating a paradigm shift in health care and its delivery. Machine learning and other automated methods of analysis will only succeed in providing useful insights for health and care if we understand health data in practice: how data is actually generated, interpreted and used. Human-centred data science operates ‘at the intersection of human-computer interaction, computer-supported cooperative work, human computation, and statistical and computational techniques of data science’ while preserving ‘ the richness associated with traditional methods while utilising the power of large data sets.’ We adapt this concept to the 'health data in practice' doctoral programme with the goal of developing highly skilled future scientific leaders able to apply interdisciplinary perspectives to research and innovations in health data science for the benefit of patients, the public, health care systems and society. Our training programme will introduce students to a wider context for their science, enabling them to draw on a range of concepts, disciplines and sciences underpinning algorithmic designs, human-interactions, evaluation and decision-making, in real-world settings across diverse populations.


Research activity codes: 8.1 ORGANISATION AND DELIVERY OF SERVICES
Health categories: GENERIC HEALTH RELEVANCE
Title: Genomic Medicine and Statistics
Funder: Wellcome Trust

Abstract: Genomic Medicine and Statistics (GMS) is a four-year doctoral training programme at the University of Oxford, established in 2008. Over the next 5-year funding period our goal is to train future leaders in the application of genomics to advance human health, equipping them with skills sets spanning experimental and analytical genomic science to address current roadblocks by innovating and realising the potential of genomics. We will do this through a cross-disciplinary approach addressing core themes including genomic and -omic technologies, functional genomics, genome biology, population genetics, evolution, pathogen genomics, genomics of disease, genomic analysis, and application of genomics for drug development, diagnostics, precision medicine and therapy. We will recruit students from diverse backgrounds with a track record of academic excellence and enthusiasm for this field. The first year will provide necessary core skills through taught modules with a minimum of two three-month rotations to gain exposure and training in different research environments prior to deciding on the topic of doctoral research, with additional training tailored to the needs of individual students. We will build a strong cohort, deliver a student-focused training experience with world-class training, supervision and pastoral support and actively manage student transitions including established internships with partner organisations.


Research activity codes: 1.5 RESOURCES AND INFRASTRUCTURE (UNDERPINNING)
Health categories: GENERIC HEALTH RELEVANCE
Title: The HDRUK/Turing Wellcome PhD Programme in Health Data Science
Funder: Wellcome Trust

Abstract: This four-year programme in Health Data Science includes one year of foundational training followed by a three-year thesis project. It will contribute to much-need capacity-building in health data science by bringing quantitative methods graduates into the health research sphere. Its underlying philosophy is that health data science requires a combination of expertise spanning three fundamental areas: statistical, computational and health sciences. This goes beyond the capacity of any single individual; impactful progress can only be made through highly collaborative communities led by resilient leaders who can challenge and overcome restrictive paradigms. Health data scientists must therefore be trained to operate in multi-disciplinary teams with each member an expert in one of the fundamental areas but conversant in all three. The proposed programme will have a UK-wide reach, drawing on the combined research expertise of two national research institutions. Each student will be co-supervised by at least one expert in quantitative methods and one in substantive health research. Co-funded projects with non-academic partners will include a third supervisor drawn from the partner organisation. Topic selection will be informed by exposure during year 1 to a wide range of problems and methodologies, with flexibility to switch topic and location for years 2-4.


Research activity codes: 1.5 RESOURCES AND INFRASTRUCTURE (UNDERPINNING)
Health categories: GENERIC HEALTH RELEVANCE
Title: Wellcome Four Year PhD Programme in Stem Cell Biology and Medicine
Funder: Wellcome Trust

Abstract: Specialist post-graduate training in Stem Cell Biology and Medicine is essential to produce a stream of highly skilled and innovative investigators equipped with a deep understanding of stem cell science and its significance for future medicine. In this context, the Wellcome PhD Programme in Stem Cell Biology and Medicine is unique in the UK in focus and scope. The enduring popularity of the programme, which receives on average 200 applications per year, and the quality of research outputs and next destinations are testament to both the calibre of students we are able to recruit and to the high-quality training they receive. Our programme provides an environment that is intellectually rigorous and personally supportive for students, enabling them to set and attain research objectives. The programme is designed to develop analytical and critically-minded individuals. Since its inception in 2008, the PhD Programme has evolved in response to the expressed needs of students and continuous developments in modern Stem Cell Biology. Our overarching goal is to produce well-trained and rounded PhD graduates who have generated significant and original research findings and are fully prepared for an ambitious and challenging career, whether continuing in stem cell science or moving to another profession.


Research activity codes: 1.5 RESOURCES AND INFRASTRUCTURE (UNDERPINNING)
Health categories: GENERIC HEALTH RELEVANCE
Title: UK Human Developmental Biology Initiative
Funder: Wellcome Trust

Abstract: The goal of the Human Developmental Biology Initiative (HDBI) is to be an enabling initiative to support wider research in human development. The UK is well positioned to take a lead in this, given its expertise in model organism developmental biology, the successful operation of the Human Developmental Biology Resource (HDBR) and clear regulation of human embryo research. HDBI will develop a set of core experimental and computational methods for studies in embryonic and foetal tissues. It will do so by focusing on generating foundational data on cell lineage in human development. To promote wider access to human developmental biology research techniques, HDBI will work closely with HDBR to develop the required technologies, creating two research hubs in proximity to the HDBR sites in London and Newcastle. Understanding developmental cell lineage provides an essential basis for comparative studies of development between species, as well as a context for understanding the developmental origins of disease. In addition to technology development, HDBI data will complement insights from Wellcome’s Deciphering Developmental Disorders program, the Human Cell Atlas and the MRC Regenerative Medicine Platform, and provide baseline data for validation of in vitro differentiated human tissue models.


Research activity codes: 1.1 NORMAL BIOLOGICAL DEVELOPMENT AND FUNCTIONING
Health categories: GENERIC HEALTH RELEVANCE
Title: The Edinburgh Clinical Academic Track (ECAT)-Plus Programme
Funder: Wellcome Trust

Abstract: ECAT-Plus aims to extend the successful ECAT (Edinburgh Clinical Academic Track) Wellcome Trust Clinical PhD programme in Edinburgh and to increase trainee numbers from 5 to 7 annually. The key aims of this application are to increase diversity, maintain momentum and increase capacity in clinical academic training. Our key goals are to: 1. Develop a programme to encourage and support increased diversity and inclusion in the academic workforce, addressing recruitment into academic training but also achieving equivalent retention and achievement, especially with regard to gender. 2. Address the challenge of maintaining research momentum post-PhD through targeted support. We have identified the postdoctoral period and return to clinical training as requiring focus on mentorship and on award of targeted research money distributed through a Research Maintenance Fund. 3. Increase capacity in veterinary training to accommodate high demand from excellent candidates, continuing to recruit vets and medics using the same criteria and training them within a single academic cohort. 4. Increase overall capacity of the scheme by 2 trainees annually to compensate for loss of response-mode Wellcome Fellowships and to achieve cohort sizes appropriate for a diverse workforce with variable speeds of career progression.

Lay abstract: No Data Entered

Research activity codes: 2.6 RESOURCES AND INFRASTRUCTURE (AETIOLOGY)
Health categories: GENERIC HEALTH RELEVANCE
Title: Health Data Research UK
Funder: Wellcome Trust

Abstract: The UK Institute for Health and Biomedical Informatics Research aims to transform the capacity and capability of health data science in the UK. The ultimate goal is to enable access to health and social care data for research and clinical benefit across the whole population. • Taking a national perspective for health informatics, it will establish leadership and coordination to develop the analytic expertise and technological advances required to capitalise on the UK’s unique data resources. • It will create a framework for data exchange in partnership with the owners and controllers of health, administrative, and social care data, regional and national NHS bodies, academia and industry. • It will drive a capacity building strategy to develop a new cadre of translational informaticians from both technological and clinical backgrounds.

Lay abstract: No Data Entered

Research activity codes: 2.6 RESOURCES AND INFRASTRUCTURE (AETIOLOGY)
Health categories: GENERIC HEALTH RELEVANCE
Title: Born in Bradford: Age of Wonder
Funder: Wellcome Trust

Abstract: Adolescence and transition into adulthood are periods shaping life-long mental health, cardiometabolic risk, and inequalities. However, they are poorly studied and understood. By extending and expanding the Born in Bradford (BiB) cohort study through this period using innovative, co-produced approaches to collect and analyse data, we aim to understand better the interplay of factors that influence health and wellbeing, and inform/evaluate interventions to improve them and reduce inequalities. Age of Wonder will be the only large whole city cohort capable of capturing the contemporary lived experience amongst multi-ethnic adolescents progressing into young adulthood, linked to their earlier life. It will build on a world-leading birth cohort situated the 5th largest metropolitan district in England with high levels of deprivation, ethnic diversity, supported by a connected routine data infrastructure covering 600,000 citizens. We will collect repeated data from existing BiB participants and their peers (N~30,000). In-school assessments, clinical assessments plus online data collection and electronic linkage will capture information on mental, reproductive, sexual, neurocognitive and cardiometabolic health. Remote collection will continue to age 21. Repeat qualitative interviews and ethnographic observations will explore lived experiences. We will collaborate internationally to broad-ranging research and discovery science and promote rapid application to policy/practice.

Lay abstract: Born in Bradford (BiB) has followed 13,786 Young People (YP) from birth as they grow up in a multi-ethnic and poor city. BiB has collected lots of information to help understand how to improve health and wellbeing, and has produced important results relevant world-wide. We want to continue to follow BiB children from the start of secondary school until age 21, and expand our study to include other YP in Bradford secondary schools (up to 30,000YP). With YP we will collect information about mental and physical health, behaviours, environments, and education; things that all play a part in health and the risk of developing diseases. YP will help collect and analyse data, building their scientific skills. Moving from childhood to adulthood is a key stage that can shape future mental and physical health, and opportunities. Understanding it better in partnership with YP means we can work towards a better future.

Research activity codes: 2.4 SURVEILLANCE AND DISTRIBUTION;2.6 RESOURCES AND INFRASTRUCTURE (AETIOLOGY);4.5 RESOURCES AND INFRASTRUCTURE (DETECTION);5.9 RESOURCES AND INFRASTRUCTURE (TREATMENT DEVELOPMENT)
Health categories: GENERIC HEALTH RELEVANCE