Naomi Wray
PhD, FAA, FAHMS
Michael Davys Chair of Psychiatric Genetics
Naomi Wray is a Professorial Research Fellow in the Department of Psychiatry and Big Data Institute, University of Oxford. From 2011 to 2023 she held joint appointments at the the Institute for Molecular Bioscience (IMB) and Queensland Brain Institute within the University of Queensland, Brisbane, Australia. She retains a Professorial Research Fellow appointment at IMB. She is a St Hilda's College Professorial Fellow.
Naomi is a National Health and Medical Research Council (NHMRC) Leadership Fellow, a Fellow of the Australian Academy of Science and a Fellow of the Australian Academy of Health and Medical Science. In 2020 she was awarded the NHMRC Elizabeth Blackburn Award for Leadership in Basic Science and the 2021 International Society of Psychiatric Genetics Ming Tsuang Lifetime Achievement Award. She is a Clarivate Highly Cited researcher.
Her research focuses on development and application of quantitative genetics and genomics methodologies across complex diseases, disorders and traits, but particularly psychiatric-related traits.
She plays a key role in the International Psychiatric Genomics Consortium and established the sporadic ALS Australia systems genomics consortium (SALSA) funded by the MND Research Australia IceBucket Challenge and FightMND. She is a co-investigator on the Australian Genetics of Depression Study (AGDS) and is currently launching the AGDS-Cello project focussed on establishing a cell line resource from participants with a detailed history of anti-depressant use and response measures. She is part of an NHMRC Synergy (2023-2027) "Rhythms and blues: Personalising care for body clock dysfunction in mood disorders".
She is secretary of the International Society of Psychiatric Genetics, and is on the editorial advisory boards of JAMA Psychiatry, Neuron, Royal Society Open and Research Directions: Depression.
Recent publications
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R2ROC: An efficient method of comparing two or more correlated AUC from out-of-sample prediction using polygenic scores
Preprint
Momin MM. et al, (2023)
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Gene expression and RNA splicing explain large proportions of the heritability for complex traits in cattle
Journal article
Xiang R. et al, (2023), Cell Genomics, 100385 - 100385
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Genetic structure of major depression symptoms across clinical and community cohorts.
Journal article
Adams MJ. et al, (2023), medRxiv
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Linking Polygenic Risk of Schizophrenia to Variation in Magnetic Resonance Imaging Brain Measures: A Comprehensive Systematic Review.
Journal article
Jameei H. et al, (2023), Schizophr Bull
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Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability.
Journal article
Wang X. et al, (2023), Am J Hum Genet