The genetic aetiology of hypertropic cardiomyopathy
Lead Research Organisation:
University of Oxford
Department Name: RDM Radcliffe Department of Medicine
Abstract
Hypertrophic cardiomyopathy (HCM) is an inherited cardiovascular condition that affects 1 in 500 individuals and is a leading cause of sudden cardiac death. Whilst traditionally considered to be a monogenic, autosomal dominant condition, current clinical genetic testing strategies fail to explain most (~60%) cases of HCM. Following the recruitment of many individuals with (n= >10,000) and without the disease (n= >100,000), my research uses a combination of statistical and computational approaches to better understand the genetic basis of HCM and contributes to an MRC strategic skill priority (Living a long & healthy life: Molecular datasets and disease). This advances my previous training within clinical medicine, computational biology and statistics, by providing training in cutting-edge clinical statistics and bioinformatic techniques (Professor Farrall) and clinical research and molecular biology (Professor Watkins). Consequently, this fulfills a cross-cutting interdisciplinary skills theme outlined by the MRC.
As part of an international network of collaborators, I will look to provide robust statistical evidence to either support or refute proposed inheritance models underpinning HCM, using available next-generation sequencing data. In addition, my work will focus on the impact variants associated with HCM have upon heart muscle function within the 'normal' population. This will refine our understanding of myocardial biology and contribute towards the elucidation of underlying disease mechanisms, which we hope will improve our understanding of the pathophysiology of HCM and facilitate improved patient care.
As part of an international network of collaborators, I will look to provide robust statistical evidence to either support or refute proposed inheritance models underpinning HCM, using available next-generation sequencing data. In addition, my work will focus on the impact variants associated with HCM have upon heart muscle function within the 'normal' population. This will refine our understanding of myocardial biology and contribute towards the elucidation of underlying disease mechanisms, which we hope will improve our understanding of the pathophysiology of HCM and facilitate improved patient care.
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
MR/N013468/1 | 01/10/2016 | 30/09/2025 | |||
1964807 | Studentship | MR/N013468/1 | 01/10/2017 | 17/05/2020 | Andrew Harper |
Description | Genetic contribution towards HCM |
Organisation | University of Virginia (UVa) |
Country | United States |
Sector | Academic/University |
PI Contribution | Evaluation of genetic contributions towards hypertrophic cardiomyopathy as part of the HCMR project. Involved development of a bioinformatic pipeline to process gene-panel sequence data for >2,500 HCM cases and the subsequent statistical evaluation of these data. Analysis techniques included collapsing burden tests, association analysis and haplotype analysis. |
Collaborator Contribution | Partners provided blood samples through which raw sequence data and genotype data was generated |
Impact | PMID: 31699273, https://www.biorxiv.org/content/10.1101/826164v1 |
Start Year | 2017 |
Description | Presentation at ACMG conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation at international conference to ~200 individuals regarding secondary findings in genome sequence data that relate to inherited cardiac conditions. Details of presentation were printed in abstract book which was circulated to all conference attendees (>15,000) |
Year(s) Of Engagement Activity | 2019 |