ANDREW MORRIS is Professor of Medicine, Director of the Usher Institute of Population Health Sciences and Informatics and Vice Principal of Data Science at the University of Edinburgh, having taken up position in August 2014. Prior to this Andrew was Dean of Medicine at the University of Dundee.
He is seconded as Chief Scientist at the Scottish Government Health Directorate which supports and promotes high quality research aimed at improving the quality and cost-effectiveness of services offered by NHS Scotland and securing lasting improvements to the health of the people of Scotland.
His research interests span informatics and chronic diseases. He is Director of the Farr Institute in Scotland funded by the MRC and nine other funders and Convenor of the UK Health Informatics Research Network, representing a £39M investment in health informatics research.
Andrew’s research interests relate to the application of informatics to study the epidemiological and molecular aetiological basis of diabetes and its complications. He has published over 300 original papers, attracted over £50million in grant funding and was the principal investigator of the Wellcome Trust United Kingdom Case Control Collection for Type 2 Diabetes that has recruited 20,000 individuals and Generation Scotland, a study of the genetic health in 50,000 Scots, and the Wellcome Trust funded Scottish Health Informatics Programme (SHIP).
He was awarded the RD Lawrence Award by Diabetes UK in 2003 and the Arnold Bloom Lecture 2013, the Saltire Society Scottish Science Award in 2005 and is a Fellow of the Royal Society of Edinburgh, Scotland’s national academy of science and letters, and Fellow of the Academy of Medical Sciences. In 2007 he co-founded Aridhia Informatics that now employs >70 people in Scotland and uses high performance computing and analytics in health care, with deployments in the UK, Middle East and Australasia.
Andrew is a Governor of the Health Foundation, a leading UK charity that supports quality improvement in health care. Andrew also chairs the Informatics Board at UCL Partners, London.
Research in the fields of informatics, diabetes, genetics and clinical translational research.
Lectures and conferences
Selected from >150 invited lectures.
Barts Health NHS Trust Digital Health Symposium. Introduction and overview of Informatics at UCLP. Perrin Lecture Theatre, Blizard Institute. E1 2AT. 26th June 2014.
XV World Congress on Canceers of the Skin. “Care and research in the informatics age”. Edinburgh Interntional Conference Centre. 3rd September 2014.
The University of Edinburgh Global Academies. Global Challenges: How do we know what we know? “Health in the Information Age” Informatics Forum, University of Edinburgh. 3rd October 2014.
University of St Andrews American Medical Alumini Biennial Lecture. 21st November 2014. University of St Andrews.
Science Europe Big Data Workshop, The «Ettore Majorana» Foundation in Erice, Sicily, Italy 24th – 25th November 2014.
Selected publications from>300 publications.
Smith BH, Campbell A, Linksted P, Fitzpatrick B, Jackson C, Kerr SM, Deary IJ, MacIntyre DJ, Campbell H, McGilchrist MM, Hocking LJ, Wisely L, Ford I, Lindsay RS, Morton R, Palmer CNA, Dominiczak AF, Porteous DJ, Morris AD. Cohort profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. Int. J. Epidemiol 2013 42: 689-700.
Liu Y, Wang M, Morris AD, Doney AS, Leese GP, Pearson ER, Palmer CN. Glycemic exposure and blood pressure influencing progression and remission of diabetic retinopathy: a longitudinal cohort study in GoDARTS. Diabetes Care. 2013 36(12):3979-84.
Sharp GC, Saunders PT, Greene SA, Morris AD, Norman JE. Intergenerational transmission of postpartum haemorrhage risk - analysis of two Scottish birth cohorts. Am J Obstet Gynecol. 2014 Jan 8. [Epub ahead of print]
Zhou AK, Donnelly LA, Morris AD, Franks PW, Jennison C, Palmer CN, Pearson ER. Clinical and genetic determinants of progression of type 2 diabetes: A DIRECT Study. Diabetes Care. 2014 37(3):718-24.
Claussnitzer M, Dankel SN, Klocke B, Grallert H, Glunk V, Berulava T, Lee H, Oskolkov N, Fadista J, Ehlers K, Wahl S, Hoffmann C, Qian K, Rönn T, Riess H, Müller-Nurasyid M, Bretschneider N, Schroeder T, Skurk T, Horsthemke B; DIAGRAM+Consortium, Spieler D, Klingenspor M, Seifert M, Kern MJ, Mejhert N, Dahlman I, Hansson O, Hauck SM, Blüher M, Arner P, Groop L, Illig T, Suhre K, Hsu YH, Mellgren G, Hauner H, Laumen H. Leveraging cross-species transcription factor binding site patterns: from diabetes risk loci to disease mechanisms. Cell. 2014 156(1-2):343-58.
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet. 2014 46(3):234-44.