Professor Andrew McIntosh
Chair of Biological Psychiatry
- Centre for Clinical Brain Sciences (Division of Psychiatry)
- Centre for Cognitive Ageing and Cognitive Epidemiology
- Centre for Genomic and Experimental Medicine
Contact details
- Tel: 0131 537 6688
- Email: andrew.mcintosh@ed.ac.uk
- Web: DATAMIND Website
- Web: Psychiatric Genomics Consortium
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Address
- Street
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Division of Psychiatry
University of Edinburgh
Royal Edinburgh Hospital - City
- Edinburgh
- Post code
- EH10 5HF
Background
Andrew McIntosh is a Professor of Psychiatry at the Division of Psychiatry, Centre for Clinical Brain Sciences.
Prof McIntosh trained in Medicine at the University of Aberdeen before completing his postgraduate training in Edinburgh in Psychiatry and in Applied Statistics. He leads the Generation Scotland Expert Working Group for Psychiatric Disorders and co-chairs the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC).
Qualifications
Academic Qualifications
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Bachelor
- 1995, Bachelor of Medicine and Bachelor of Surgery, University of Aberdeen
- 1992, Bachelor of Science (Hons), University of Aberdeen
- Master
- 2004, Master of Science, Edinburgh Napier University
- 2000, Master of Philosophy, University of Edinburgh
- Doctorate
- 2004, Doctor of Medicine, University of Edinburgh
Professional Qualifications
- 2022, Fellow of the Academy of Medical Sciences
- 2021, Fellow of the Royal Society of Edinburgh
- 2012, Fellow of the Royal College of Psychiatrists, FRCPsych
- 1999, Member of The Royal College of Psychiatrists, MRCPsych
Responsibilities & affiliations
Open to PhD supervision enquiries?
Yes
Research summary
Professor McIntosh seeks to better understand the causes and consequences of depression and resilience . He uses a number of methods including: genetic analysis, NHS data linkage, clinical and cogntive measurement and brain imaging.
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Related links
Psychiatric disorders research at the Centre for Clinical Brain Sciences
Complex trait genetics research at the Centre for Clinical Brain Sciences
Andrew McIntosh Research Group, Centre for Genomic and Experimental Medicine
Current research interests
The genetic and environmental causes of depression The mechanisms and causal consequences of depression Public enagagement around the use of mental health data in researchKnowledge exchange
Professor McIntosh is closely inviolved in several public enagagement activities, which include:
- Public enagagement around the use of NHS data in research
- Public engagement around the value of large population-based studies such as Generation Scotland and UK Biobank
- Knowledge exchange activities around depression research, including "Big Data Detectives" (Edinburgh Science Festival, 2019)
- Work with schools and young people around depression and resilience
Research activities
Current project grants
220857/Z/20/Z; McIntosh AM (PI) 2021-2026; Wellcome Trust Investigator Award in Science. Exploiting genomic approaches to identify the environmental basis of depression
MR/S035818/1; McIntosh AM (PI) 2019-2024; MRC Global Challenge Research Fund Award: “Generation Malawi: A study of family, maternal and childhood mental health”
DATAMIND: Data Hub For Mental Health INformatics Research Development to John A, Stewart R, McIntosh AM (CoI) O’Reilly D, Arsenault L and others. Total Value: Job Code: 214PSY RA5713.
MR/R023484/1; Elliot (PI) McIntosh AM (CoI) et al 2018-2023; MRC Programme Grant "The Airwave Health Monitoring Study (AHMS). An Occupational Cohort Study of the British Police Forces"
Past project grants
04036/Z/14/Z; McIntosh AM (PI) 2015-2020; Wellcome Trust Strategic Award; “Stratifying Resilience and Depression Longitudinally”
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Addendum: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways
In:
Nature Communications, vol. 9, pp. 3578
DOI: https://doi.org/10.1038/s41467-018-05310-5
Research output: Contribution to Journal › Article (Published) -
Epigenetic signatures of starting and stopping smoking
In:
EBioMedicine, vol. 37, pp. 214-220
DOI: https://doi.org/10.1016/j.ebiom.2018.10.051
Research output: Contribution to Journal › Article (Published) -
Reversal of proliferation deficits caused by chromosome 16p13.11 microduplication through targeting NFκB signaling: An integrated study of patient-derived neuronal precursor cells, cerebral organoids and in vivo brain imaging
(18 pages)
In:
Molecular Psychiatry, vol. 24, pp. 294-311
DOI: https://doi.org/10.1038/s41380-018-0292-1
Research output: Contribution to Journal › Article (Published) -
An epigenetic score for BMI based on DNA methylation correlates with poor physical health and major disease in the Lothian Birth Cohort
In:
International Journal of Obesity
DOI: https://doi.org/10.1038/s41366-018-0262-3
Research output: Contribution to Journal › Article (Published) -
Trajectories of inflammatory biomarkers over the eighth decade and their associations with immune cell profiles and epigenetic ageing
In:
Clinical Epigenetics
DOI: https://doi.org/10.1186/s13148-018-0585-x
Research output: Contribution to Journal › Article (Published) -
Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders
In:
Nature Neuroscience, vol. 21, pp. 1656-1669
DOI: https://doi.org/10.1038/s41593-018-0275-1
Research output: Contribution to Journal › Article (Published) -
Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?
In:
Biological Psychiatry, vol. 85
DOI: https://doi.org/10.1016/j.biopsych.2018.10.003
Research output: Contribution to Journal › Comment/debate (Published) -
How data science can advance mental health research
In:
Nature Human Behaviour
DOI: https://doi.org/10.1038/s41562-018-0470-9
Research output: Contribution to Journal › Article (Published)