Federico Murgia
DPhil student/Bioinformatician
Federico is a bioinformatician with longstanding experience in bioinformatics, genetics and genetic epidemiology.
After a degree in biological sciences and a postgraduate research degree in Bioinformatics applied to personalised medicine, Federico worked for several years as a biostatistician and bioinformatician for public and private organisations. He focused his research activity on the application of genetic and genomic methods to study complex traits in both general and genetically isolated populations.
He has extensive experience in the processing of large-scale human genetic datasets, the analysis of exome/whole sequencing data, GWAS and downstream analysis to assign the SNPs to functional genomic features, development of automated pipelines and data visualisation.
He joined CTSU in 2018, where he's involved in discovery and in-depth exploration of genomic predictors for vascular disease and its risk factors, working on a wealth of projects related CTSU's vascular mega-trials, biobanks and large studies.
He is also currently undertaking a part-time DPhil in Population Health under the supervision of Professor Jemma Hopewell with the aims to investigate the impact of rare genetic variation on statin response in the Heart Protection Study.
Recent publications
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Discrete mechanistic pathways underlying genetic predisposition to atrial fibrillation are associated with different intermediate cardiac phenotypes and risk of cardioembolic stroke
Preprint
Gajendragadkar PR. et al, (2024)
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Determining the Relationship Between Blood Pressure, Kidney Function, and Chronic Kidney Disease: Insights From Genetic Epidemiology.
Journal article
Staplin N. et al, (2022), Hypertension, 79, 2671 - 2681
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Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants.
Journal article
Aragam KG. et al, (2022), Nat Genet, 54, 1803 - 1815
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Are polygenic risk scores for systolic blood pressure and LDL-cholesterol associated with treatment effectiveness, and clinical outcomes among those on treatment?
Journal article
Tapela NM. et al, (2022), Eur J Prev Cardiol, 29, 925 - 937
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Myopia in African Americans Is Significantly Linked to Chromosome 7p15.2-14.2.
Journal article
Simpson CL. et al, (2021), Invest Ophthalmol Vis Sci, 62