Andrew M. McIntosh

Andrew M. McIntosh FRCPsych FRSE is a UK academic psychiatrist. He is Professor of Biological Psychiatry at the Centre for Clinical Brain Sciences, University of Edinburgh, and is an affiliate member of the Centre for Genomic and Experimental Medicine 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 intercalated BSc in Medical Science and MBChB (medical qualification) at the University of Aberdeen before completing House Officer posts at Aberdeen Royal Infirmary. He then completed his psychiatric training in South East Scotland, mainly 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 Fellowship, a Health Foundation/Academy of Medical Sciences Clinician Scientist Fellowship and a Scottish Funding Council Senior Clinical Fellowship

Career

McIntosh is co-chair of the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. with Cathryn Lewis. He is chair of the Generation Scotland Mental Expert Working Group and also Chair's the MQ Mental Health Data Science Group. He is currently a member of the Wellcome Trust Basic Sciences Interview Committee. In 2012 he was made a Fellow of the Royal College of Psychiatrists

Selected publications

• Howard, DM; Adams, MJ; Clarke, TK; Hafferty, JD; Gibson, J; Shirali, M; Coleman, JRI; Hagenaars, SP; Ward, J; Wigmore, EM; Alloza, C; Shen, X; Barbu, MC; Xu, EY; Whalley, HC; Marioni, RE; Porteous, DJ; Davies, G; Deary, IJ; Hemani, G; Berger, K; Teismann, H; Rawal, R; Arolt, V; Baune, BT; Dannlowski, U; Domschke, K; Tian, C; Hinds, DA; 23andMe Research Team; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium; Trzaskowski, M; Byrne, EM; Ripke, S; Smith, DJ; Sullivan, PF; Wray, NR; Breen, G; Lewis, CM; McIntosh, AM (March 2019). "Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions". Nature Neuroscience. 22 (3): 343–352. doi:10.1038/s41593-018-0326-7. PMC 6522363. PMID 30718901.
• Howard, DM; Folkersen, L; Coleman, JRI; Adams, MJ; Glanville, K; Werge, T; Hagenaars, SP; Han, B; Porteous, D; Campbell, A; Clarke, TK; Breen, G; Sullivan, PF; Wray, NR; Lewis, CM; McIntosh, AM (24 May 2020). "Genetic stratification of depression in UK Biobank". Translational Psychiatry. 10 (1): 163. doi:10.1038/s41398-020-0848-0. PMC 7246256. PMID 32448866.
• McIntosh, AM; Sullivan, PF; Lewis, CM (3 April 2019). "Uncovering the Genetic Architecture of Major Depression". Neuron. 102 (1): 91–103. doi:10.1016/j.neuron.2019.03.022. PMC 6482287. PMID 30946830.
• McIntosh, AM; Sullivan, PF; Lewis, CM (3 April 2019). "Uncovering the Genetic Architecture of Major Depression". Neuron. 102 (1): 91–103. doi:10.1016/j.neuron.2019.03.022. PMC 6482287. PMID 30946830.
• Hill, WD; Davies, NM; Ritchie, SJ; Skene, NG; Bryois, J; Bell, S; Di Angelantonio, E; Roberts, DJ; Xueyi, S; Davies, G; Liewald, DCM; Porteous, DJ; Hayward, C; Butterworth, AS; McIntosh, AM; Gale, CR; Deary, IJ (16 December 2019). "Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income". Nature Communications. 10 (1): 5741. Bibcode:2019NatCo..10.5741H. doi:10.1038/s41467-019-13585-5. PMC 6915786. PMID 31844048.
• Howard, DM; Adams, MJ; Shirali, M; Clarke, TK; Marioni, RE; Davies, G; Coleman, JRI; Alloza, C; Shen, X; Barbu, MC; Wigmore, EM; Gibson, J; 23andMe Research, Team.; Hagenaars, SP; Lewis, CM; Ward, J; Smith, DJ; Sullivan, PF; Haley, CS; Breen, G; Deary, IJ; McIntosh, AM (16 April 2018). "Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways". Nature Communications. 9 (1): 1470. Bibcode:2018NatCo...9.1470H. doi:10.1038/s41467-018-03819-3. PMC 5902628. PMID 29662059.
• Wigmore, EM; Hafferty, JD; Hall, LS; Howard, DM; Clarke, TK; Fabbri, C; Lewis, CM; Uher, R; Navrady, LB; Adams, MJ; Zeng, Y; Campbell, A; Gibson, J; Thomson, PA; Hayward, C; Smith, BH; Hocking, LJ; Padmanabhan, S; Deary, IJ; Porteous, DJ; Mors, O; Mattheisen, M; Nicodemus, KK; McIntosh, AM (April 2020). "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. 20 (2): 329–341. doi:10.1038/s41397-019-0067-3. PMC 7096334. PMID 30700811.
• Wigmore, EM; Hafferty, JD; Hall, LS; Howard, DM; Clarke, TK; Fabbri, C; Lewis, CM; Uher, R; Navrady, LB; Adams, MJ; Zeng, Y; Campbell, A; Gibson, J; Thomson, PA; Hayward, C; Smith, BH; Hocking, LJ; Padmanabhan, S; Deary, IJ; Porteous, DJ; Mors, O; Mattheisen, M; Nicodemus, KK; McIntosh, AM (April 2020). "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. 20 (2): 329–341. doi:10.1038/s41397-019-0067-3. PMC 7096334. PMID 30700811.
• Hafferty, JD; Wigmore, EM; Howard, DM; Adams, MJ; Clarke, TK; Campbell, AI; MacIntyre, DJ; Nicodemus, KK; Lawrie, SM; Porteous, DJ; McIntosh, AM (April 2019). "Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage study". Journal of Psychopharmacology. 33 (4): 482–493. doi:10.1177/0269881119827888. hdl:20.500.11820/8c7947a4-5c6f-498d-915d-e95bb2a4718d. PMID 30808242. S2CID 73492276.
• Shen, X; Howard, DM; Adams, MJ; Hill, WD; Clarke, TK; Major Depressive Disorder Working Group of the Psychiatric Genomics, Consortium.; Deary, IJ; Whalley, HC; McIntosh, AM (8 May 2020). "A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank". Nature Communications. 11 (1): 2301. Bibcode:2020NatCo..11.2301S. doi:10.1038/s41467-020-16022-0. PMC 7210889. PMID 32385265.