Andrew Morris
Professor of Medicine / Vice-Principal Data Science
- Usher Institute
- College of Medicine and Veterinary Medicine
Contact details
Address
- Street
-
Usher Institute – University of Edinburgh
NINE
9 Little France Road
Edinburgh BioQuarter - 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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A Hybrid Architecture (CO-CONNECT) to Facilitate Rapid Discovery and Access to Data Across the United Kingdom in Response to the COVID-19 Pandemic: Development Study
In:
Journal of medical Internet research, vol. 24, pp. e40035
DOI: https://doi.org/10.2196/40035
Research output: Contribution to Journal › Article (Published) -
Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
In:
Genome Biology, vol. 23, pp. 268
DOI: https://doi.org/10.1186/s13059-022-02837-1
Research output: Contribution to Journal › Article (Published) -
A saturated map of common genetic variants associated with human height
In:
Nature, vol. 610, pp. 704-712
DOI: https://doi.org/10.1038/s41586-022-05275-y
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways
In:
Nature Communications, vol. 13
DOI: https://doi.org/10.1038/s41467-022-32821-z
Research output: Contribution to Journal › Article (Published) -
Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations
(19 pages)
In:
Journal of Thrombosis and Haemostasis, vol. 20, pp. 1331-1349
DOI: https://doi.org/10.1111/jth.15698
Research output: Contribution to Journal › Article (Published) -
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
(13 pages)
In:
Nature Genetics, vol. 54, pp. 560-572
DOI: https://doi.org/10.1038/s41588-022-01058-3
Research output: Contribution to Journal › Article (Published) -
The power of genetic diversity in genome-wide association studies of lipids
(5 pages)
In:
Nature, vol. 600, pp. 675-679
DOI: https://doi.org/10.1038/s41586-021-04064-3
Research output: Contribution to Journal › Article (Published) -
Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
In:
Genome Medicine, vol. 13
DOI: https://doi.org/10.1186/s13073-021-00877-z
Research output: Contribution to Journal › Article (Published) -
The genomics of heart failure: design and rationale of the HERMES consortium
In:
ESC heart failure
DOI: https://doi.org/10.1002/ehf2.13517
Research output: Contribution to Journal › Article (E-pub ahead of print) -
The trans-ancestral genomic architecture of glycemic traits
In:
Nature Genetics, vol. 53
DOI: https://doi.org/10.1038/s41588-021-00852-9
Research output: Contribution to Journal › Article (Published)