Andrew Morris
Chair of Medicine / Vice-Principal Data Science
- Usher Institute
- College of Medicine and Veterinary Medicine
Contact details
Address
- Street
-
Nine Edinburgh BioQuarter,
9 Little France Road - City
- Edinburgh
- Post code
- EH16 4UX
Background
Professor Morris is Vice-Principal of Data Science at the University of Edinburgh.
Responsibilities & affiliations
Since August 2017 ANDREW MORRIS has been the inaugural Director of Health Data Research UK, the multi-funder UK Institute for health and biomedical informatics research that will capitalise on the UK’s renowned data resources and research strengths to transform lives through health data science. He is seconded from his position as Professor of Medicine, and Vice Principal of Data Science at the University of Edinburgh, having taken up position in August 2014. Andrew advises senior University management on international data science decisions that impact on the work of the University. He also collaborates with the Vice-Principal for High Performance Computing to develop Edinburgh Data Science.
Prior to this Andrew was Dean of Medicine at the University of Dundee. Andrew was Chief Scientist at the Scottish Government Health Directorate (2012-2017) and has served and chaired numerous national and international grant committees and Governmental bodies. Andrew was awarded a CBE (Commander of the Most Excellent Order of the British Empire) in the 2018 New Year’s Honour’s List. His research interests span informatics and chronic diseases. He has published over 300 original papers and has attracted over £50million in grant funding.
Project activity
Andrew's projects include being Director of HDR UK www.hdruk.ac.uk
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The international Perinatal Outcomes in the Pandemic (iPOP) study: protocol
In:
Wellcome Open Research , vol. 6, pp. 21
DOI: https://doi.org/10.12688/wellcomeopenres.16507.1
Research output: Contribution to Journal › Article (Published) -
Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability
In:
Nature Communications, vol. 12, pp. 24
DOI: https://doi.org/10.1038/s41467-020-19366-9
Research output: Contribution to Journal › Article (Published) -
Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability
In:
Nature Communications, vol. 12
DOI: https://doi.org/10.1038/s41467-020-19366-9
Research output: Contribution to Journal › Article (Published) -
Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics
In:
Translational Vision Science and Technology, vol. 9, pp. 5
DOI: https://doi.org/10.1167/tvst.9.13.5
Research output: Contribution to Journal › Article (Published) -
Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus
In:
Circulation: Genomic and Precision Medicine, vol. 13, pp. e002769
DOI: https://doi.org/10.1161/CIRCGEN.119.002769
Research output: Contribution to Journal › Article (Published) -
Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction
In:
Nature Communications, vol. 11, pp. 2542
DOI: https://doi.org/10.1038/s41467-020-15706-x
Research output: Contribution to Journal › Article (Published) -
Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure
In:
Nature Communications, vol. 11, pp. 163
DOI: https://doi.org/10.1038/s41467-019-13690-5
Research output: Contribution to Journal › Article (Published) -
Genome-Wide Association Study of Susceptibility to Idiopathic Pulmonary Fibrosis
In:
American Journal of Respiratory and Critical Care Medicine
DOI: https://doi.org/10.1164/rccm.201905-1017OC
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Pharmacogenomics of statin-related myopathy: Meta-analysis of rare variants from whole-exome sequencing
In:
PLoS ONE, vol. 14, pp. e0218115
DOI: https://doi.org/10.1371/journal.pone.0218115
Research output: Contribution to Journal › Article (Published) -
Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
In:
Nature Genetics
DOI: https://doi.org/10.1038/s41588-019-0447-2
Research output: Contribution to Journal › Comment/debate (E-pub ahead of print)