The role of DNA Methylation, Chromatin Remodelling and Histone Modification in Syndromic and Non-Syndromic Congenital Heart Disease.

Lead Research Organisation: University of Leeds
Department Name: School of Medicine

Abstract

Congenital Heart Disease (CHD) is a change to the structure of the heart at birth. As the commonest birth defect, over 4,500 babies per year in the UK are born with CHD. CHD can cause a significant effect on a child, often needing specialist treatments or surgery, and can be associated with a shortened life-span. We know that CHD is more common if someone else in the family is also affected, but the exact genetic causes of this common condition are still not well understood.

Genes are instructions to the body on how to grow and develop. They are made up of DNA in our body's cells. DNA inside cells is packaged using proteins called histones: these can be tagged by chemical groups (such as "methylation"), that can change how a gene is turned "on" and "off" in each cell of the body. There is some evidence to suggest that so-called "epigenetic" changes, such as histone methylation, can cause a proportion of CHD cases. To investigate this hypothesis, we have gained access to very detailed genetic testing data (Whole Genome Sequencing data) from nearly 600 families with CHD recruited to the 100,000 Genomes Project. Also, in a previous study, we identified a number of families where more than one individual had CHD. We plan to conduct further, more detailed genetic testing in these families, to understand better the cause of CHD. Once we have identified new causes of CHD, we will use cell models of disease to confirm our findings.

The second part of the project will involve investigation of a specific protein, called KMT2D, which is also involved in histone methylation. We showed that this protein is associated with a new syndrome that has CHD as an important feature. We now want to investigate how a genetic change or "mutation" in this protein causes such severe disease, and how this links to CHD. We will do this by using new "gene-editing" tools in stem cells, which we will use to make a model of patient nerve cells. We will then investigate specific characteristics of these cell models, and how the mutations affect them. This will allow us to understand better how KMT2D works and to link this to CHD.

The PI is an experienced Clinical Geneticist with a particular interest in CHD and a PhD in detailed genetic data analysis in relation to CHD. The candidate therefore has the experience and skills needed for the proposed project. The PI will join an experienced research group, led by the CO-I, with a proven track record of success in this field. They work with state-of-the-art technology, such as new gene-editing tools and novel cellular models, to investigate the genetic basis of human disease. The candidate and research group have strong support from the University and Hospital Trust. They have worked together on projects since 2013 and can bring complementary skills and experience to this project to tackle an important question for both the clinical and research partners.

Finding new genetic causes of CHD and understanding the link between CHD and "histone methylation" will increase scientific understanding of the detailed processes involved in forming a fetal heart, and the ways in which this may be affected in disease. This will help in deciding upon medical or surgical managements for CHD, since we suspect that patients with different genetic causes of CHD may respond differently to medicines or surgery. Because the specific group of proteins we are studying are important drug targets, our scientific studies may be of key importance to discovering new drugs. This project is ideally placed in Leeds, where a new Children's Hospital is to be built over the next 5 years, to create a hub for state-of-the-art patient care, research, training and innovation.

Technical Summary

Congenital heart disease (CHD) is the commonest congenital defect, affecting 1% of live births. The genetic aetiology of a large proportion of congenital heart disease remains unexplained. DNA methylation and chromatin remodelling are important epigenetic mechanisms that play a key role in the regulation of gene transcription. As alterations in genes responsible for these processes cause congenital malformation syndromes with a high prevalence of CHD, we wish to further investigate the role of gene transcription in the aetiology of syndromic and non-syndromic CHD.

To do this, we will assess whole genome sequencing data from patients with CHD recruited to the 100,000 Genomes Project and our own cohorts. We will use the expertise from our cellular modelling group, such as CRISPR-Cas9 gene-editing and induced pluripotent stem cell (iPSC) creation, generation of iPSCs from patient-derived dermal fibroblasts, and genome-wide DNA methylation analysis to confirm novel genetic associations.

We have recently shown that a hotspot of mutations in a specific region of KMT2D, a histone lysine methyltransferase, cause a novel malformation disorder that has CHD as an important feature. We will knock-in missense mutations into induced pluripotent stem cells (iPSCs) to model the novel missense mutations identified in this disorder. iPSCs differentiated into neural crest lineages will be characterized by RNA-seq to identify differential gene expression signatures. Pathway analyses will identify important regulatory sub-networks, which are disrupted or activated by the action of KMT2D. Differentially-expressed mRNAs will be validated by quantitative rt-PCR.

Together these studies will increase scientific knowledge of the link between gene transcription and CHD, with specific insight into the function of KMT2D, how this function is affected by the observed mutations, and how histone methylation and gene expression are altered across the genome.
 
Description Chair of the Genetics Research and Audit Collaborative
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Title genetic & small molecule effectors of ciliogenesis 
Description 1) list of validated candidate genes implicated in ciliogenesis, cilia maintenance and cilia length growth as a result of a whole genome cell-based reverse genetics visual screen primary list: ca. 600 genes secondary screen list: 174 genes tertiary validated genes: ca. 42 genes selected functional candidates: 14 genes 2) RNA-Seq expression data and exon usage from non-ciliated vs. ciliated cell-lines, wild-type and mutant dermal fibroblasts, iPSCs, and iPSC-derived cell types (retinal pigment epithelium, retinal organoids, kidney organoids) 3) 
Type Of Material Technology assay or reagent 
Year Produced 2013 
Provided To Others? Yes  
Impact methodlogies of assessing cell numbers, cellular & ciliary phenotypes in a series of visual screens are described in this publications: Elmehdawi F, et al. (2013) Human Homologue of Drosophila Ariadne (HHARI) is a marker of cellular proliferation associated with nuclear bodies. Exp. Cell Res. 319:161-172. Wheway G, et al. (2015). An siRNA-based functional genomics screen for the identification of regulators of ciliogenesis and ciliopathy genes. Nat. Cell. Biol. 17: 1074-87 Buskin A, et al. (2018). Disrupted alternative splicing for genes implicated in splicing and ciliogenesis causes PRPF31 retinitis pigmentosa. Nat Commun 9:4234 Lake AL et al. (2020) Drug and siRNA screens identify ROCK2 as a therapeutic target for ciliopathies; https://www.biorxiv.org/content/10.1101/2020.11.26.393801v1 
URL http://www.syscilia.org
 
Title Database of de novo mutations in patients with congenital heart disease recruited to 100,000 genomes project. 
Description As part of analysis of data from patients within the research environment of 100,000 genomes project, we have created a dataset of patients with de novo variants from the syndromic and familial congenital heart disease recruitment categories. These variants pass the filters in our data filtering pipeline, so are high impact and absent in control datasets. This dataset contains candidate variants in non-omit morbid genes which have been prioritised using machine learning methods. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? No  
Impact Data will support future publication on de novo causes of congenital heart disease within 100,000 genomes project, not reported by the initial project pipeline and candidate gene dataset with prioritisation by machine learning methods. 
URL https://www.genomicsengland.co.uk/initiatives/100000-genomes-project
 
Title Dataset of 12 unpublished patients with mutations in exons 38/39 of KMT2D. 
Description We have created a dataset which contains detailed clinical information, clinical photographs, imaging and mutation information regarding 12 new patients with mutations in exon 38/39 of KMT2D. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? No  
Impact This data will be used to publish a genotype/phenotype evaluation of this newly described syndrome. 
 
Description Collaboration regarding congenital heart disease gene prioritisation using a machine learning classifier 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution We have provided details of gene datasets of candidate CHD genes with de novo variants identified through the 100,000 genomes project CHD cohorts.
Collaborator Contribution Assessed CHD candidate genes using machine learning classifier to create a prioritised list of candidate genes.
Impact production of research manuscript in progress: Molecular Diagnoses and Candidate Gene Prioritization in the Congenital Heart Disease Cohorts of the 100,000 Genomes Project Verity Hartill*, Mitra Kabir*, Sunayna Best, Jenny Lloyd, Jing Yu, Genomics England Research Consortium, Erina Sasaki, Hazel Needham, Debbie Shears, Matthew Roche, Elizabeth Wall, Nicola Cooper, Gavin Ryan, Jaqueline Eason, Helen Brittain, Julie Vogt, Robert Johnson, Kathy Hentges* and Colin A Johnson*
Start Year 2022
 
Description Genotype- phenotype correlations in a novel syndrome associated with mutations in a specific region of KMT2D 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution We previously published together to describe a novel syndrome associated with mutations in a specific region of KMT2D (see PMID: 31949313). We are now undertaking a joint project to assess genotype-phenotype correlation in a cohort of patients with mutations in a specific region of KMT2D that cause a novel congenital malformation syndrome. We have undertaken collection and curation of clinical data, mutation position, clinical photographs, scan images, research consent in 13 additional patients with this condition. We have collated this in a shared data sheet and commenced assessment of genotype-phenotype correlation. We have undertaken in silico modelling of protein domain structure and the effect of missense mutations on the predicted coiled-coil region. Our team have undertaken CRISPR experiments in HEK293 derived iPSC cells to model KMT2D mutations, producing a knock-out cell line.
Collaborator Contribution Partners have made contact with clinicians and families internationally. They have generated neural crest cells from iPSCs derived from patients with the novel KMT2D-related syndrome, as well as control samples and patients with typical Kabuki syndrome. They have undertaken RNAseq experiments on these cell lines to to show differential expression in patients when compared to controls. Together these experiments will provide evidence of the effect of these missense mutations on the function of kMT2D and will help to delineate in detail the clinical phenotype of this novel condition, as well as to identify genotype-phenotype correlations in the cohort.
Impact Prior publication, see PMID: 31949313. We now have formed a dataset of 13 patients with novel KMT2D associated syndrome and their full phenotype and associated mutation; for genotype-phenotype assessment and publication.
Start Year 2018
 
Description Investigations into de novo causes of syndromic and familial congenital heart disease in 100,000 Genomes Project 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution We are undertaking a study investigating de novo causes of congenital heart disease within the 100,000 Genomes Project. We have identified a number of new likely diagnoses in patients recruited to the project which were not reported from the original project pipeline. As a part of the project we have collaborated with a team at the University of Oxford who have published their methods for identifying copy number variation within the data from 100,000 GP (see https://doi.org/10.1101/2021.10.15.21265069 ). Through this collaboration we are able to assess for de novo CNVs which have not been identified in the original pipeline. This data together will for the basis of an assessment of causes of CHD within the project.
Collaborator Contribution Assessment of de novo copy number variants within a subset of genes and a subset of patients within 100,000GP (provided by our team). Spreadsheets provided by the collaborating group show called CNVs in these categories for assessment by our team.
Impact Work still underway, no current output.
Start Year 2022
 
Description Investigations into de novo causes of syndromic and familial congenital heart disease in 100,000 Genomes Project 
Organisation University of Oxford
Department Oxford Hub
Country United Kingdom 
Sector Academic/University 
PI Contribution We are undertaking a study investigating de novo causes of congenital heart disease within the 100,000 Genomes Project. We have identified a number of new likely diagnoses in patients recruited to the project which were not reported from the original project pipeline. As a part of the project we have collaborated with a team at the University of Oxford who have published their methods for identifying copy number variation within the data from 100,000 GP (see https://doi.org/10.1101/2021.10.15.21265069 ). Through this collaboration we are able to assess for de novo CNVs which have not been identified in the original pipeline. This data together will for the basis of an assessment of causes of CHD within the project.
Collaborator Contribution Assessment of de novo copy number variants within a subset of genes and a subset of patients within 100,000GP (provided by our team). Spreadsheets provided by the collaborating group show called CNVs in these categories for assessment by our team.
Impact Work still underway, no current output.
Start Year 2022
 
Description O-mannosylation of distinct receptors by the protein-specific O-mannosyltransferase TMEM260 is required for normal development 
Organisation University of Copenhagen
Country Denmark 
Sector Academic/University 
PI Contribution We have described a family with homozygous mutations in TMEM260 showing a phenotype of Truncus Arteriosus in two affected children. We used Whole Exome Sequencing to identify the causative mutation in a research setting. We have provided clinical and molecular information to this collaboration for research publication.
Collaborator Contribution Our partners have undertaken functional studies to show that TMEM260 is an ER-located protein O-mannosyltransferase that selectively glycosylates defined extracellular immunoglobulin, plexin, transcription factor (IPT) domains of the hepatocyte growth factor receptor (cMET), macrophage-stimulating protein receptor (RON), and plexin receptors. They demonstrate that disease-causing TMEM260 mutations impair O-mannosylation of IPT domains and that loss of TMEM260 in cells results in receptor maturation defects and abnormal growth of 3D cell models. Thus, TMEM260 directs a novel form of O-mannose protein glycosylation dedicated to important receptors, which is essential for development.
Impact Research manuscript now completed ready for journal submission.
Start Year 2020
 
Description Research MDT chair 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution I have set up and co-chair a research MDT at LTHT/ University of Leeds. This venture has allowed for improved collaboration with research teams at the university of Leeds and with the diagnostic lab staff as well as clinicians and students. This allows for sharing of ideas, recruitment of families to research and follow-up of research results.
Collaborator Contribution Co-chaired by Dr James Poulter, University of Leeds.
Impact Multi disciplinary meeting for clinicians, scientists and trainees. Research families with potential results can be discussed - has allowed for collaboration with a number of research groups nationally. Increased recruitment to research projects.
Start Year 2022
 
Description The role of DNA Methylation, Chromatin Remodelling and Histone Modification in Syndromic and Non-Syndromic Congenital Heart Disease. 
Organisation Leeds Teaching Hospitals NHS Trust
Country United Kingdom 
Sector Public 
PI Contribution collaborative access to whole genome sequencing data, bioinformatic pipelines and research methodologies (eg stem cell differentiation)
Collaborator Contribution analysis of whole genome sequencing data using bespoke bioinformatic pipelines for gene discovery and variant interpretation for congential heart defects
Impact multi-disciplinary award between clinical & fundemental researchers in molecular genetics
Start Year 2021
 
Description CRN presentation GRAC 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Presented at the National CRN leads meeting; Genetic Research and Audit collaborative
Year(s) Of Engagement Activity 2023
 
Description Presentation about CARP award at Leeds Teaching Hospitals R & I conference 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact Presentation at the LTHT R & I conference regarding CARPS funding application and research project to date.
Year(s) Of Engagement Activity 2023
 
Description Short article published in Leeds Teaching Hospitals Pathology Newsletter regarding award of funding via the CARPS scheme. 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact Short article published in LTHT Pathology Newsletter May 2021 Issue 41 regarding my award of CARPS research funding for 3 years.
Year(s) Of Engagement Activity 2021
 
Description Talk at Strength in Numbers NIHR CRN event in Leeds 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact Gave a talk at the Strength in Numbers NIHR event for NEY. Discussed Genetics Research and Audit Collaborative and newly established research MDT, as well as current research progress.
Year(s) Of Engagement Activity 2023
 
Description Talk for Adult Congenital Heart Disease Unit about genetics and ongoing research - Leeds Teaching Hospitals Trust 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact 15 members of the adult congenital heart disease team attended a talk regarding CHD genetics, research, patient recruitment and future plans.
Year(s) Of Engagement Activity 2023
 
Description Talk for North East and Yorkshire Genomics Laboratory Hub on working with data from 100,000 Genomes Project. 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact I gave a talk regarding my current research looking into genetic causes of congenital heart disease using data from 100,000 Genomes Project. This was of particular relevance to scientists in the diagnostic laboratory who have been working on diagnostic reporting from the project. I also gave an overview on the recently described condition affecting certain residues of KMT2D which our group have published on in 2017. Th audience were very interested in the work regarding 100,000 Genomes Project and I received a number of questions about our use of the data and collaboration with clinicians.
Year(s) Of Engagement Activity 2021