Professor Bryan Mowry
+61 7 3346 6351
QBI Building (#79), Room 432
Professor Bryan Mowry is a psychiatrist, Queensland Health Senior Medical Specialist, professor at The University of Queensland’s Queensland Brain Institute, and director of Psychiatric Genetics research stream at the Queensland Centre for Mental Health Research.
He has developed his career as a clinician scientist and in 1999 was awarded a Doctor of Medicine in the molecular genetics of schizophrenia. In 2010, he was awarded the Royal Australian and New Zealand College of Psychiatrists Senior Research Award for the most significant contribution to psychiatric research over the previous five years.
MB, The University of Queensland
BS, The University of Queensland
BA (Hons), The University of Western Australia
MD, Royal Australian and New Zealand College of Psychiatry
Fellow, Royal Australian and New Zealand College of Psychiatry
Professor Mowry’s research is dedicated to identifying and characterising genetic variants contributing to schizophrenia. Methodologies include genome-wide association studies, DNA sequencing, transcriptome profiling and induced pluripotent stem cell technology – together with a focus on the analysis of detailed clinical, neuropsychological and neuroimaging data.
Components of his program converge on the goal of identifying genetic pathways and molecular mechanisms underlying schizophrenia to lay the foundation for developing novel therapeutics and earlier diagnosis. His research also addresses the proximal outcome of optimising anti-psychotic drug efficacy using pharmacogenomics approaches.
Professor Mowry’s research projects have received a total competitive funding of more than $15 million.
Since 1991, he has received continuous support from 16 NHMRC Project grants, 12 of which he has been first-named investigator.
Over the past five years, Prof Mowry has also received National Health and Medical Research Council Project Grants for the following projects:
- Investigating the aetiopathogenic role of autoantibodies against the M1 muscarinic acetylcholine receptor in patients with first episode of schizophrenia. Greer, B. Mowry, J.Scott. $830,986. 2016-2018.
- Genetic analysis of de novo and inherited protein-coding sequence variation in schizophrenia. Mowry, P. Visscher, R. Thara, J. Gratten. $1,319,165. 2014 – 2016.
- Dissecting the role of RYK in cortical neuron specification and schizophrenia. Cooper, B. Mowry. $1,004,152. 2014 – 2016.
- Studying the molecular basis of schizophrenia in a large, globally competitive Indian sample. Mowry, R. Thara, D. Nyholt, L. Jorde. $963,525. 2010 – 2014.
CNV Schizophrenia Working Groups of the Psychiatric Genomics Consortium & Consortium, P.E.I. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat Genet 49, 27-35 (2017).
Sekar, A. et al. Schizophrenia risk from complex variation of complement component 4. Nature 530, 177-183 (2016).
Mehta, D. et al. Evidence for Genetic Overlap Between Schizophrenia and Age at First Birth in Women. JAMA Psychiatry 73, 497-505 (2016).
Martin, A.K. & Mowry, B. Increased rare duplication burden genomewide in patients with treatment-resistant schizophrenia. Psychological Medicine 46, 469-476 (2016).
Martin, A.K., Gibson, E.C., Mowry, B. & Robinson, G.A. Verbal Initiation, Suppression, and Strategy Use and the Relationship with Clinical Symptoms in Schizophrenia. J Int Neuropsychol Soc 22, 735-43 (2016).
Johnson, E.C. et al. No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study. PLoS Genet 12, e1006343 (2016).
Franke, B. et al. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nat Neurosci 19, 420-431 (2016).
Edwards, A.C. et al. Meta-analysis of Positive and Negative Symptoms Reveals Schizophrenia Modifier Genes. Schizophr Bull 42, 279-87 (2016).
Dzafic, I., Martin, A.K., Hocking, J., Mowry, B. & Burianová, H. Dynamic emotion perception and prior expectancy. Neuropsychologia 86, 131-40 (2016).
Bigdeli, T.B. et al. Genome-wide association study reveals greater polygenic loading for schizophrenia in cases with a family history of illness. Am J Med Genet B Neuropsychiatr Genet 171B, 276-89 (2016).
Yu, H. et al. Genome-Wide Association Study Suggested the PTPRD Polymorphisms Were Associated With Weight Gain Effects of Atypical Antipsychotic Medications. Schizophrenia Bulletin (2015).
Westcott, C., Waghorn, G., McLean, D., Statham, D. & Mowry, B. Interest in Employment Among People with Schizophrenia. American Journal of Psychiatric Rehabilitation 18, 187-207 (2015).
Westcott, C., Waghorn, G., McLean, D., Statham, D. & Mowry, B. Role functioning among adults with schizophrenia. British Journal of Occupational Therapy 78, 158-165 (2015).
Vilhjálmsson, Bjarni J. et al. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores. The American Journal of Human Genetics 97, 576-592 (2015).
O’Dushlaine, C. et al. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nature neuroscience 18, 199-209 (2015).
McLean, D. et al. Comparing schizophrenia symptoms in the Iban of Sarawak with other populations to elucidate clinical heterogeneity. Asia Pac Psychiatry 7, 36-44 (2015).
Martin, A.K., Robinson, G., Reutens, D. & Mowry, B. Common genetic risk variants are associated with positive symptoms and decision-making ability in patients with schizophrenia. Psychiatry Research 229, 606-608 (2015).
Martin, A.K., Robinson, G., Reutens, D. & Mowry, B. Clinical and parental age characteristics of rare copy number variant burden in patients with schizophrenia. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 168, 374-382 (2015).
Martin, A.K., Mowry, B., Reutens, D. & Robinson, G.A. Executive functioning in schizophrenia: Unique and shared variance with measures of fluid intelligence. Brain and Cognition 99, 57-67 (2015).
Maier, R. et al. Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder. The American Journal of Human Genetics 96, 283-294 (2015).
Loh, P.R. et al. Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis. Nat Genet 47, 1385-92 (2015).
Lee, S.H. et al. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis. International Journal of Epidemiology 44, 1706-1721 (2015).
Garrison, J.R. et al. Paracingulate sulcus morphology is associated with hallucinations in the human brain. Nat Commun 6(2015).
Duan, J. et al. Transcriptome outlier analysis implicates schizophrenia susceptibility genes and enriches putatively functional rare genetic variants. Human Molecular Genetics 24, 4674-4685 (2015).
Bulik-Sullivan, B.K. et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet 47, 291-295 (2015).
Arnedo, J. et al. Uncovering the Hidden Risk Architecture of the Schizophrenias: Confirmation in Three Independent Genome-Wide Association Studies. American Journal of Psychiatry 172, 139-153 (2015).
Andreassen, O.A. et al. Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci. Mol Psychiatry 20, 207-214 (2015).
Schizophrenia Working Group of the Psychiatric Genomics, C. et al. Biological Insights From 108 Schizophrenia-Associated Genetic Loci. Nature 511, 421-427 (2014).
Nicodemus, K.K., Hargreaves, A., Morris, D. & et al. Variability in working memory performance explained by epistasis vs polygenic scores in the znf804a pathway. JAMA Psychiatry 71, 778-785 (2014).
McLean, D. et al. DSM-IV “criterion A” schizophrenia symptoms across ethnically different populations: evidence for differing psychotic symptom content or structural organization? Culture, medicine and psychiatry 38, 408-426 (2014).
Martin, A.K., Robinson, G., Reutens, D. & Mowry, B. Copy number deletion burden is associated with cognitive, structural, and resting-state network differences in patients with schizophrenia. Behavioural Brain Research 272, 324-334 (2014).
Martin, A.K., Robinson, G., Reutens, D. & Mowry, B. Cannabis abuse and age at onset in schizophrenia patients with large, rare copy number variants. Schizophrenia Research 155, 21-25 (2014).
Kenneth Martin, A., Robinson, G., Reutens, D. & Mowry, B. Cognitive and structural neuroimaging characteristics of schizophrenia patients with large, rare copy number deletions. Psychiatry Research: Neuroimaging 224, 311-318 (2014).
Jones, A.L. et al. Elevated levels of autoantibodies targeting the M1 muscarinic acetylcholine receptor and neurofilament medium in sera from subgroups of patients with schizophrenia. Journal of Neuroimmunology 269, 68-75 (2014).
Gusev, A. et al. Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases. The American Journal of Human Genetics 95, 535-552 (2014).
Duan, J. et al. A Rare Functional Noncoding Variant at the GWAS-Implicated MIR137/MIR2682 Locus Might Confer Risk to Schizophrenia and Bipolar Disorder. The American Journal of Human Genetics 95, 744-753 (2014).
Terwisscha van Scheltinga, A.F. et al. Schizophrenia genetic variants are not associated with intelligence. Psychological medicine 43, 2563-2570 (2013).
Terwisscha van Scheltinga, A.F. et al. Genetic schizophrenia risk variants jointly modulate total brain and white matter volume. Biol Psychiatry 73, 525-31 (2013).
Schork, A.J. et al. All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs. PLoS Genet 9, e1003449 (2013).
Sanders, A.R. et al. Transcriptome study of differential expression in schizophrenia. Human Molecular Genetics 22, 5001-5014 (2013).
Ripke, S. et al. Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nat Genet 45, 1150-1159 (2013).
Gratten, J., Visscher, P.M., Mowry, B.J. & Wray, N.R. Interpreting the role of de novo protein-coding mutations in neuropsychiatric disease. Nat Genet 45, 234-238 (2013).
de Candia, T.R. et al. Additive genetic variation in schizophrenia risk is shared by populations of African and European descent. Am J Hum Genet 93, 463-70 (2013).
Cross-Disorder Group of the Psychiatric Genomics, C. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet 45, 984-994 (2013).
Consortium, C.-D.G.o.t.P.G. & Consortium, G.R.O.o.P.G. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371-9 (2013).
Andreassen, O.A. et al. Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors. Am J Hum Genet 92, 197-209 (2013).
Weickert, C.S., Tiwari, Y., Schofield, P.R., Mowry, B.J. & Fullerton, J.M. Schizophrenia-associated HapICE haplotype is associated with increased NRG1 type III expression and high nucleotide diversity. Transl Psychiatry 2, e104 (2012).
Sullivan, P. Don’t give up on GWAS. Mol Psychiatry 17, 2-3 (2012).
Richards, A.L. et al. Schizophrenia susceptibility alleles are enriched for alleles that affect gene expression in adult human brain. Mol Psychiatry 17, 193-201 (2012).
Ragan, C., Mowry, B.J. & Bauer, D.C. Hybridization-based reconstruction of small non-coding RNA transcripts from deep sequencing data. Nucleic Acids Research 40, 7633-7643 (2012).
McLean, D. et al. Refining clinical phenotypes by contrasting ethnically different populations with schizophrenia from Australia, India and Sarawak. Psychiatry Research 196, 194-200 (2012).
McLean, D., Gladman, B. & Mowry, B. Significant relationship between lifetime alcohol use disorders and suicide attempts in an Australian schizophrenia sample. Australian and New Zealand Journal of Psychiatry 46, 132-140 (2012).
McAuley, E.Z. et al. Identification of Sialyltransferase 8B as a Generalized Susceptibility Gene for Psychotic and Mood Disorders on Chromosome 15q25-26. PLoS ONE 7, e38172 (2012).
Levinson, D.F. et al. Genome-Wide Association Study of Multiplex Schizophrenia Pedigrees. American Journal of Psychiatry 169, 963-973 (2012).
Lee, S.H. et al. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nat Genet 44, 247-250 (2012).
Keller, M.C. et al. Runs of Homozygosity Implicate Autozygosity as a Schizophrenia Risk Factor. PLoS Genet 8, e1002656 (2012).
Fanous, A.H. et al. Genome-Wide Association Study of Clinical Dimensions of Schizophrenia: Polygenic Effect on Disorganized Symptoms. American Journal of Psychiatry 169, 1309-1317 (2012).
Derks, E.M. et al. Investigation of the Genetic Association between Quantitative Measures of Psychosis and Schizophrenia: A Polygenic Risk Score Analysis. PLoS ONE 7, e37852 (2012).