Andrew M. McIntosh explained
| Andrew M. McIntosh |
| Birth Date: | 21 January 1971 |
| Birth Place: | Aberdeen |
| Fields: | Biological Psychiatry
Genomics
Data Science |
| Alma Mater: | University of Aberdeen
University of Edinburgh |
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| Thesis1 Year: | and |
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Andrew M. McIntosh is a UK academic psychiatrist. He is Professor of Biological Psychiatry at the Centre for Clinical Brain Sciences, University of Edinburgh,[1] [2] [3] and is an affiliate member of the Centre for Genomic and Experimental Medicine[4] at the University of Edinburgh. The main focus of his research is using genomic and neuroimaging approaches to better understand the causes and causal consequences of Major Depressive Disorder.
Education
He completed his BSc and MBChB (medical qualification) at the University of Aberdeen and his psychiatric training in South East Scotland,[1] and at the Royal Edinburgh Hospital, before gaining MRCPsych in 2000. He has an MPhil (Psychiatry) and MD (Psychiatry, 2004) from the University of Edinburgh and a MSc in Applied Statistics from Edinburgh Napier University. He has held an MRC Clinical Training, Health Foundation/Academy of Medical Sciences Clinician Scientist and Scottish Funding Council Senior Clinical Fellowships[3]
Career
McIntosh is co-chair of the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium.[5] with Cathryn Lewis. He is Chief Scientist of the Health Data Research UK Mental Health Hub DATAMIND and chair of the Generation Scotland Mental Expert Working Group and was founding Chair of the MQ Mental Health Data Science Group.[6] McIntosh is a Wellcome Trust Investigator and is an investigator on many studies of depression, including DepGenAfrica.
Selected publications
- Adams . M . Genome-wide study of major depression in 685,808 diverse individuals identifies 697 independent associations, infers causal neuronal subtypes and biological targets for novel pharmacotherapies. . medRxiv . 2024 . 10.1101/2024.04.29.24306535 . free . 38746223 . 11092713.
- Gao . C . Y . Phenome-wide analyses identify an association between the parent-of-origin effects dependent methylome and the rate of aging in humans. . Genome Biology . 2023 . 24 . 1 . 117 . 10.1186/s13059-023-02953-6 . free . 37189164. 10184337 .
- Hillary . RF . Blood-based epigenome-wide analyses of 19 common disease states: A longitudinal, population-based linked cohort study of 18,413 Scottish individuals. . PLOS Medicine . 2023 . 20 . 7 . e1004247 . 10.1371/journal.pmed.1004247 . free . 37410739. 10325072 .
- Jiang . JC . Investigating the potential anti-depressive mechanisms of statins: a transcriptomic and Mendelian randomization analysis. . Translational Psychiatry . 2023 . 13 . 1 . 110 . 10.1038/s41398-023-02403-8 . 37015906. 10073189 .
- Davyson . E . Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids. . Biological Psychiatry . 2023 . 94 . 8 . 630–639 . 10.1016/j.biopsych.2023.01.027 . 36764567. 10804990 .
- Wigmore . EM . Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP. . The Pharmacogenomics Journal . 2020 . 20 . 2 . 329–341 . 10.1038/s41397-019-0067-3 . 30700811. 7096334 .
- Shen . X . A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank. . Nature Communications . 2020 . 11 . 1 . 2301 . 10.1038/s41467-020-16022-0 . 32385265. 7210889 . 2020NatCo..11.2301S .
- Howard . DM . Genetic stratification of depression in UK Biobank. . Translational Psychiatry . 2020 . 10 . 1 . 163 . 10.1038/s41398-020-0848-0 . 32448866. 7246256 .
- McIntosh . AM . Uncovering the Genetic Architecture of Major Depression. . Neuron . 2019 . 102 . 1 . 91–103 . 10.1016/j.neuron.2019.03.022 . 30946830. 6482287 .
- Howard . DM . Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. . Nature Neuroscience . 2019 . 22 . 3 . 343–352 . 10.1038/s41593-018-0326-7 . 30718901. 6522363 .
- Hill . WD . Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income. . Nature Communications . 2019 . 10 . 1 . 5741 . 10.1038/s41467-019-13585-5 . 31844048. 6915786 . 2019NatCo..10.5741H .
- Hafferty . JD . 73492276 . Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage study. . Journal of Psychopharmacology . 2019 . 33 . 4 . 482–493 . 10.1177/0269881119827888 . 30808242. 20.500.11820/8c7947a4-5c6f-498d-915d-e95bb2a4718d . free .
- Howard . DM . Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways. . Nature Communications . 2018 . 9 . 1 . 1470 . 10.1038/s41467-018-03819-3 . 29662059. 5902628 . 2018NatCo...9.1470H .
Notes and References
- https://www.ed.ac.uk/profile/professor-andrew-mcintosh Prof Andrew M McIntosh Home Page
- Web site: Unique ORCID identifier . orcid.org.
- Web site: Andrew McIntosh - Edinburgh Research Explorer. www.research.ed.ac.uk.
- Web site: Andrew McIntosh Research Group (Affiliate). The University of Edinburgh.
- Web site: Major Depressive Disorder.
- Web site: Data science award advisory committee. MQ: Transforming Mental Health.
