Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
37
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      IBD BioResource: an open-access platform of 25 000 patients to accelerate research in Crohn’s and Colitis

      research-article
      (Collab)
      Gut
      BMJ Publishing Group
      genetics, crohn’s’ disease, ulcerative colitis, biobank

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Give us the tools and we will finish the job -Winston Churchill An alliance of clinicians, academics, research nurses, funders, coordinators, programmers and, most importantly, patients has come together in the UK to deliver a powerful new platform to accelerate Crohn’s and Colitis research—the inflammatory bowel disease (IBD) BioResource. As part of the National Institute for Health Research (NIHR) BioResource for translational research, 25 000 patients in over 90 hospitals UK-wide have signed up since we launched in January 2016 (figure 1). All have detailed phenotypes databased including Montreal classification,1 treatment response history (updated annually), surgical history and comorbidities (see IBD BioResource panel descriptive, Clinical data collection sheet and Health and Lifestyle questionnaire). Serum, plasma and DNA samples are banked; and genome-wide genetic profiling undertaken. Participants’ data and samples can be studied, and they themselves surveyed or recalled for resampling or downstream studies (see figure 2). Critically, such studies can be led by any UK or overseas investigator whether from the worlds of clinical research, pharmacovigilance, science or industry. Figure 1 IBD BioResource recruitment in over 90 hospitals in the UK. IBD, inflammatory bowel disease. Figure 2 How the IBD BioResource works. HES, Hospital Episode Statistics; HSCN, Health Social Care Network; IBD, inflammatory bowel disease; NHS, National Health Service. What is the IBD BioResource for A key motivation is to leverage recent genetics advances, and by understanding the functional impact of IBD-associated gene variants accelerate translation of the new knowledge for clinical benefit. Beyond this, it is increasingly evident that the IBD BioResource can facilitate a wide spectrum of research. This might include anything from mining existing data or samples or surveying the cohort regarding outcomes of newly licensed treatments, to pharmacogenetic research. It could also be used to expedite recruitment to intervention studies, including experimental medicine and conventional drug trials. Gene discovery in Crohn’s disease and ulcerative colitis has placed these conditions at the forefront of the field of common disease genetics. As the UK IBD Genetics Consortium we have, through national and international collaboration, helped deliver a number of landmark studies in IBD.2–14 More than 240 confirmed IBD susceptibility loci have been identified to date. New druggable pathways continue to be identified and new pathogenic insights continue to accrue,4 particularly from those loci where the causal variants have been identified and functionally characterised. Examples of the latter include the association between IBD and the R381Q variant in the interleukin 23 receptor and between CD and the T300A variant in the autophagy gene ATG16L1.15–17 For most IBD risk loci, however, the causal genes and causal variants await identification. There are instances of hard-fought progress, with dissection of individual loci allowing new genes to be characterised and new biological insights gained18 19; and using innovative genetic ‘fine mapping’ techniques it has been possible to refine ~20% of risk loci to a single variant.2 However, functional characterisation of the latter is awaited, and is made all the more challenging by the fact that most are non-coding (regulatory). Furthermore, more than 50% map to genomic regions lacking homology with any known functional motif. The prize may be new biological insight not just about IBD pathogenesis but potentially also new understanding of the regulation of gene transcription, but no number of DNA samples can deliver this. Without recourse to mouse models or genetically manipulated cell lines, with all their problems, investigators will be able to use the IBD BioResource to access and resample cohorts of patients homozygous for risk and wild-type alleles at any locus. Already, despite only having recently reached maturity, such ‘stage 2’ recall-by-genotype studies are in progress. These are interrogating the functional impact of cytokine polymorphisms, non-coding RNA’s and HLA variants implicated in our genome wide association studies (GWAS), to better understand how these contribute to IBD pathogenesis and to specific subphenotypes. Critical to the success of the IBD BioResource will be the willingness of patients to participate in annual surveys (to gather long term data re treatment outcomes etc) and stage 2 studies. It is early to be drawing conclusions, but in stage 2 studies to date 30%–60% of eligible participants have agreed to help. Maintaining engagement with patients and potential stage 2 users is clearly a key role of the team of four IBD BioResource coordinators and one data manager. As well as running the annual surveys, they maintain the website (www.ibdbioresource.nihr.ac.uk), circulate newsletters and promote activities through social media (Twitter and LinkedIn). Over the next 5 years, it is anticipated that longitudinal data from surveys will be substantially augmented by access to NHS digital and potential collaborations with the IBD Registry and Health Data Research UK, to minimise the risk of participants being lost to follow-up. In addition to its recall/resample functionality, the IBD BioResource will also be used as the substrate for a new suite of genetics analyses. There is still more mileage in GWAS for risk variants: as the IBD dataset expands so the number of loci detected will increase in linear proportion, and new insights gained.20 Beyond GWAS increasing attention is turning to exome and whole genome sequencing, particularly to ascertain low frequency risk variants of potentially greater effect size than are typically identified by GWAS.3 These may contribute to the ‘missing heritability’ of IBD and other common diseases.21 Two limiting factors to date have been sequencing costs and the need for very large sample sizes to detect rare variant associations with statistical confidence. Both are becoming tractable. All IBD BioResource participants will undergo 50x exome sequencing or 20x genome sequencing and the data will be meta-analysed with other datasets in the international IBD genetics consortium in well powered studies; and the results made available to the research community. Translational aspects As well as identifying susceptibility genes, there is increasing interest in identifying biomarkers for clinically relevant outcomes such as prognosis and treatment response, the aim being to deliver on the promise of personalised medicine. This requires detailed phenotypes on large sample sets—something the IBD BioResource has, with 95% completion of core data fields on the first 24 000 participants. Lee et al previously used GWAS to identify loci associated with Crohn’s disease prognosis22; and blood monocytes from genotype-selected NIHR BioResource subjects to interrogate the function of a FOXO3 polymorphism.23 The expanding IBD BioResource dataset should identify more markers associated with disease course and enable development of progressively more accurate ‘polygenic scores’ for prognosis. The latter use the power of genome-wide data (rather than just genome-wide significant hits), potentially combined with environmental modifyers such as smoking, to substantially improve predictive accuracy.24 This could be used at the time of IBD diagnosis to identify individuals destined for a complex disease course with multiple flares, perhaps warranting early and aggressive therapy. Regarding treatment outcomes, pharmacogenetic analyses have recently identified a number of clinically important associations. Thus, NUDT15 polymorphisms are associated with thiopurine-induced leucopenia both in Asians and Europeans25 26; and human leukocyte antigen (HLA) DRB1*0701 is associated with risk of thiopurine pancreatitis.27 Other work lead by Tariq Ahmad in Exeter, including samples from the IBD BioResource, has identified strong association between HLA DQA1-05 (found in 40% of people of European origin) and immunogenicity to anti tumour necrosis factor (TNF) therapy.28 Studies to demonstrate the utility of testing for these in the IBD clinic is a near-term objective for IBD BioResource investigators. Future pharmacogenetic studies will also benefit from the scale of the IBD BioResource. By recruiting from hospital clinics, it is biased towards more severely affected patients. Thus >13 000 have been treated with thiopurines and >9000 with anti-TNF therapy, all with detailed treatment outcomes recorded. Through the IBD BioResource, all participants can be recontacted or recalled if more detailed information or more samples are required. Even relatively recently introduced therapies are strongly represented, for example, over 1400 participants have received vedolizumab—and through an annual ‘treatment update’ survey, we expect to see this number climbing rapidly. We thus have a clear opportunity to better understand how these treatments are being used in routine practice, and for further pharmacogenetic analyses, for example, of treatment response. There may also be a role for the IBD BioResource in pharmacovigilance for new therapies. Supporting intervention studies and drug trials Can the IBD BioResource directly support intervention studies, including drug trials? We believe so. Later this year, it will be used to recruit to the IBD BOOST study, surveying 12 000 patients and then recruiting 1180 with self-reported symptoms of fatigue, pain and/or urgency for different interventions. There is also potential utility for drug trials recruitment. There is widespread recognition that drug development takes too long, is too costly and potentially high risk.29 With the recent expansion of licensed IBD therapies industry may see the cost of developing a new drug, particularly one that ends up as fourth or fifth line therapy, as too great—and might shelve some of the potentially valuable new treatments.30 Different strategies are required, potentially including experimental and precision medicine to investigate subgroups of patients who have distinct pathogenic pathways and in whom drugs which target those pathways may demonstrate high efficacy (hence warranting earlier use in such biomarker-defined subsets). The IBD BioResource, with its detailed genome-wide data, is ideally positioned to support such studies. At a more general level, the IBD BioResource is well placed to accelerate recruitment to conventional phase 3 studies—widely regarded as a major bottle-neck in drug development. This should be of great interest to the pharma industry and clinical research organisations. Potential participants meeting inclusion criteria for a particular study (identified from the IBD BioResource database of phenotypes and drug histories) and under a trial site hospital can be provided with trial details and notified that if their IBD is flaring and they are interested they should contact the research nurse at their site. Many patients are only too willing to participate in research but a major block is giving them the opportunity.31 Inherent to the problem is that most drug trial recruitment happens in clinic, but requires the clinician meeting the patient in flare to know about the study, be aware of inclusion criteria and to match these up to the patient in front of them. This presupposes an alignment of knowledge, time and motivation in busy clinicians, and all too often one or more of these is lacking. Having a large cohort of research-engaged IBD BioResource participants who have consented to screening of their medical records and can be contacted directly regarding research should help circumvent this bottleneck. The future A key goal over the next 5 years is to recruit an inception cohort of 1000 individuals newly diagnosed with IBD who will undergo more detailed sampling (including stool, biopsy tissue and whole blood for RNA—unconfounded by the effects of drug treatment) and longitudinal follow-up. In due course, this will facilitate and expand existing research into the determinants, predictors and biomarkers of disease course and treatment response.32 33 The IBD BioResource has more than 90 hospitals participating UK-wide, and is now recruiting at ~1000 patients per month (figure 1). With 25 000 highly characterised patients already signed up, it is very definitely ‘open for business’ and now able to support and expedite a wide range of studies. What began as a resource to enable post-GWAS studies has become a wider multidimensional platform ready for use by the global IBD research community. Its job is to accelerate IBD research across all domains, improve treatments and outcomes, and perhaps one day ‘finish the job’ by achieving a cure. We are keen to see this tool used! To apply to use the IBD BioResource please visit https://BioResource.nihr.ac.uk/researchers/researchers/application-process/ Enquiries re its use to ibd@bioresource.nihr.ac.uk

          Related collections

          Most cited references20

          • Record: found
          • Abstract: found
          • Article: not found

          Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease

          Genetic association studies have identified 215 risk loci for inflammatory bowel disease 1–8, which have revealed fundamental aspects of its molecular biology. We performed a genome-wide association study of 25,305 individuals, and meta-analyzed with published summary statistics, yielding a total sample size of 59,957 subjects. We identified 25 new loci, three of which contain integrin genes that encode proteins in pathways identified as important therapeutic targets in inflammatory bowel disease. The associated variants are correlated with expression changes in response to immune stimulus at two of these genes (ITGA4, ITGB8) and at previously implicated loci (ITGAL, ICAM1). In all four cases, the expression increasing allele also increases disease risk. We also identified likely causal missense variants in the primary immune deficiency gene PLCG2 and a negative regulator of inflammation, SLAMF8. Our results demonstrate that new common variant associations continue to identify genes relevant to therapeutic target identification and prioritization.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Inherited determinants of Crohn's disease and ulcerative colitis phenotypes: a genetic association study

            Summary Background Crohn's disease and ulcerative colitis are the two major forms of inflammatory bowel disease; treatment strategies have historically been determined by this binary categorisation. Genetic studies have identified 163 susceptibility loci for inflammatory bowel disease, mostly shared between Crohn's disease and ulcerative colitis. We undertook the largest genotype association study, to date, in widely used clinical subphenotypes of inflammatory bowel disease with the goal of further understanding the biological relations between diseases. Methods This study included patients from 49 centres in 16 countries in Europe, North America, and Australasia. We applied the Montreal classification system of inflammatory bowel disease subphenotypes to 34 819 patients (19 713 with Crohn's disease, 14 683 with ulcerative colitis) genotyped on the Immunochip array. We tested for genotype–phenotype associations across 156 154 genetic variants. We generated genetic risk scores by combining information from all known inflammatory bowel disease associations to summarise the total load of genetic risk for a particular phenotype. We used these risk scores to test the hypothesis that colonic Crohn's disease, ileal Crohn's disease, and ulcerative colitis are all genetically distinct from each other, and to attempt to identify patients with a mismatch between clinical diagnosis and genetic risk profile. Findings After quality control, the primary analysis included 29 838 patients (16 902 with Crohn's disease, 12 597 with ulcerative colitis). Three loci (NOD2, MHC, and MST1 3p21) were associated with subphenotypes of inflammatory bowel disease, mainly disease location (essentially fixed over time; median follow-up of 10·5 years). Little or no genetic association with disease behaviour (which changed dramatically over time) remained after conditioning on disease location and age at onset. The genetic risk score representing all known risk alleles for inflammatory bowel disease showed strong association with disease subphenotype (p=1·65 × 10−78), even after exclusion of NOD2, MHC, and 3p21 (p=9·23 × 10−18). Predictive models based on the genetic risk score strongly distinguished colonic from ileal Crohn's disease. Our genetic risk score could also identify a small number of patients with discrepant genetic risk profiles who were significantly more likely to have a revised diagnosis after follow-up (p=6·8 × 10−4). Interpretation Our data support a continuum of disorders within inflammatory bowel disease, much better explained by three groups (ileal Crohn's disease, colonic Crohn's disease, and ulcerative colitis) than by Crohn's disease and ulcerative colitis as currently defined. Disease location is an intrinsic aspect of a patient's disease, in part genetically determined, and the major driver to changes in disease behaviour over time. Funding International Inflammatory Bowel Disease Genetics Consortium members funding sources (see Acknowledgments for full list).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Fine-mapping inflammatory bowel disease loci to single variant resolution

              Summary The inflammatory bowel diseases (IBD) are chronic gastrointestinal inflammatory disorders that affect millions worldwide. Genome-wide association studies have identified 200 IBD-associated loci, but few have been conclusively resolved to specific functional variants. Here we report fine-mapping of 94 IBD loci using high-density genotyping in 67,852 individuals. We pinpointed 18 associations to a single causal variant with >95% certainty, and an additional 27 associations to a single variant with >50% certainty. These 45 variants are significantly enriched for protein-coding changes (n=13), direct disruption of transcription factor binding sites (n=3) and tissue specific epigenetic marks (n=10), with the latter category showing enrichment in specific immune cells among associations stronger in CD and in gut mucosa among associations stronger in UC. The results of this study suggest that high-resolution fine-mapping in large samples can convert many GWAS discoveries into statistically convincing causal variants, providing a powerful substrate for experimental elucidation of disease mechanisms.
                Bookmark

                Author and article information

                Journal
                Gut
                Gut
                gutjnl
                gut
                Gut
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0017-5749
                1468-3288
                September 2019
                3 July 2019
                : 68
                : 9
                : 1537-1540
                Author notes
                [Correspondence to ] Dr Miles Parkes, Gastroenterology Unit, Addenbrooke’s Hospital, Cambridge CB2 2QQ, UK; miles.parkes@ 123456addenbrookes.nhs.uk
                Author information
                http://orcid.org/0000-0002-6467-0631
                Article
                gutjnl-2019-318835
                10.1136/gutjnl-2019-318835
                6709775
                31270165
                a76a3167-a31e-4011-993c-f17ecfa4ceca
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

                History
                : 04 May 2019
                : 03 June 2019
                : 04 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Funded by: Open Targets;
                Funded by: FundRef http://dx.doi.org/10.13039/501100003522, Crohn’s and Colitis UK;
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Categories
                Leading Article
                1506
                2312
                Custom metadata
                unlocked

                Gastroenterology & Hepatology
                genetics,crohn’s’ disease,ulcerative colitis,biobank
                Gastroenterology & Hepatology
                genetics, crohn’s’ disease, ulcerative colitis, biobank

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content61

                Cited by20

                Most referenced authors1,474