Publications — Radcliffe Department of Medicine

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Genetic therapies for cardiomyopathy: survey of attitudes of the patient community for the CureHeart project.

Ormondroyd E. et al, (2024), Eur J Hum Genet, 32, 1045 - 1052

The genetic dissection of fetal haemoglobin persistence in sickle cell disease in Nigeria.

Ojewunmi OO. et al, (2024), Hum Mol Genet, 33, 919 - 929

Genetic Determinants of the Interventricular Septum Are Linked to Ventricular Septal Defects and Hypertrophic Cardiomyopathy.

Yu M. et al, (2023), Circ Genom Precis Med

Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease.

Young WJ. et al, (2023), Nat Commun, 14

Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With Hypertrophic Cardiomyopathy.

Aung N. et al, (2023), Circ Genom Precis Med, 16

Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.

Aragam KG. et al, (2022), Nat Genet

Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes.

Grace C. et al, (2021), Genet Epidemiol

Common genetic variants and modifiable risk factors underpin hypertrophic cardiomyopathy susceptibility and expressivity.

Harper AR. et al, (2021), Nat Genet, 53, 135 - 142

Common genetic variants and modifiable risk factors underpin hypertrophic cardiomyopathy susceptibility and expressivity.

Harper AR. et al, (2021), Nat Genet, 53, 135 - 142

Manhattan++: displaying genome-wide association summary statistics with multiple annotation layers.

Grace C. et al, (2019), BMC Bioinformatics, 20

Lack of genetic support for shared aetiology of Coronary Artery Disease and Late-onset Alzheimer's disease.

Grace C. et al, (2018), Sci Rep, 8

Association analyses based on false discovery rate implicate new loci for coronary artery disease.

Nelson CP. et al, (2017), Nat Genet, 49, 1385 - 1391

A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.

Nikpay M. et al, (2015), Nat Genet, 47, 1121 - 1130

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