Dr Enda Byrne
Dr

Enda Byrne

Email: 

Background

The objective of my research is to improve understanding of the genetic etiology and biological mechanisms underlying risk of common psychiatric disorders, particularly those with onset during childhood and adolescence. As a Senior Research Fellow at the Child Health Research Centre, I lead a number of domestic and international collaborations that evaluate the association between polygenic risk scores, environmental variables and behaviour during childhood and adolescence. My group applies innovative statistical methods to large longitudinal datasets with information from infancy through to adulthood and to evaluate genetic and environmental contributions to risk to mental health problems. In addition, our research focuses on the potential clinical utility of polygenic risk scores in psychiatry. I have contributed to major advances in understanding of the etiology of a number of psychiatric disorders, with a major focus on depression

PhD and Honours projects are available in the group. Please contact me for more information.

Availability

Dr Enda Byrne is:
Available for supervision

Qualifications

  • Doctor of Philosophy, The University of Queensland

Research interests

  • Genomic Technologies

  • Statistical and Computational methods

Research impacts

My research has contributed to advances in a number of fields through the identification of previously unknown genetic variants that contribute to risk to complex disorders. The identification of these variants opens up new avenues for developing drug targets to target the biological pathways in which they are found.

Search Professor Enda Byrne’s works on UQ eSpace

166 works between 2007 and 2024
All (166) Journal Article (138) Book Chapter (1) Conference Publication (26) Other Outputs (1)

1 - 20 of 166 works

2024

Journal Article

Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort

Hartmann, Simon, Dwyer, Dominic, Cavve, Blake, Byrne, Enda M., Scott, Isabelle, Gao, Caroline, Wannan, Cassandra, Yuen, Hok Pan, Hartmann, Jessica, Lin, Ashleigh, Wood, Stephen J., Wigman, Johanna T.W., Middeldorp, Christel M., Thompson, Andrew, Amminger, Paul, Schlögelhofer, Monika, Riecher-Rössler, Anita, Chen, Eric Y.H., Hickie, Ian B., Phillips, Lisa J., Schäfer, Miriam R., Mossaheb, Nilufar, Smesny, Stefan, Berger, Gregor, de Haan, Lieuwe, Nordentoft, Merete, Verma, Swapna, Nieman, Dorien H., McGorry, Patrick D. ... Nelson, Barnaby (2024). Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort. World Psychiatry, 23 (3), 400-410. doi: 10.1002/wps.21240

Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort

2024

Journal Article

Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts

Adams, Mark J., Thorp, Jackson G., Jermy, Bradley S., Kwong, Alex S. F., Kõiv, Kadri, Grotzinger, Andrew D., Nivard, Michel G., Marshall, Sally, Milaneschi, Yuri, Baune, Bernhard T., Müller-Myhsok, Bertram, Penninx, Brenda W. J. H., Boomsma, Dorret I., Levinson, Douglas F., Breen, Gerome, Pistis, Giorgio, Grabe, Hans J., Tiemeier, Henning, Berger, Klaus, Rietschel, Marcella, Magnusson, Patrik K., Uher, Rudolf, Hamilton, Steven P., Lucae, Susanne, Lehto, Kelli, Li, Qingqin S., Byrne, Enda M., Hickie, Ian B., Martin, Nicholas G. ... Derks, Eske M. (2024). Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts. Psychological Medicine, 1-10. doi: 10.1017/s0033291724001880

Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts

2024

Journal Article

Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli

Mosley, Philip E., van der Meer, Johan N., Hamilton, Lachlan H. W., Fripp, Jurgen, Parker, Stephen, Jeganathan, Jayson, Breakspear, Michael, Parker, Richard, Holland, Rebecca, Mitchell, Brittany L., Byrne, Enda, Hickie, Ian B., Medland, Sarah E., Martin, Nicholas G. and Cocchi, Luca (2024). Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli. Molecular Psychiatry. doi: 10.1038/s41380-024-02699-y

Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli

2024

Journal Article

Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression

Crouse, Jacob J., Park, Shin Ho, Byrne, Enda M., Mitchell, Brittany L., Scott, Jan, Medland, Sarah E., Lin, Tian, Wray, Naomi R., Martin, Nicholas G. and Hickie, Ian B. (2024). Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression. Molecular Psychiatry, 29 (9), 1-9. doi: 10.1038/s41380-024-02492-x

Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression

2024

Journal Article

Comprehensive sex-stratified genetic analysis of 28 blood biomarkers and depression reveals a significant association between depression and low levels of total protein in females

Kiewa, Jacqueline, Meltzer-Brody, Samantha, Milgrom, Jeannette, Guintivano, Jerry, Hickie, Ian B, Whiteman, David C, Olsen, Catherine M, Medland, Sarah E, Martin, Nicholas G, Wray, Naomi R and Byrne, Enda M (2024). Comprehensive sex-stratified genetic analysis of 28 blood biomarkers and depression reveals a significant association between depression and low levels of total protein in females. Complex Psychiatry, 10 (1-4), 19-34. doi: 10.1159/000538058

Comprehensive sex-stratified genetic analysis of 28 blood biomarkers and depression reveals a significant association between depression and low levels of total protein in females

2024

Journal Article

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Meng, Xiangrui, Navoly, Georgina, Giannakopoulou, Olga, Levey, Daniel F., Koller, Dora, Pathak, Gita A., Koen, Nastassja, Lin, Kuang, Adams, Mark J., Renteria, Miguel E., Feng, Yanzhe, Gaziano, J. Michael, Stein, Dan J., Zar, Heather J., Campbell, Megan L., van Heel, David A., Trivedi, Bhavi, Finer, Sarah, McQuillin, Andrew, Bass, Nick, Chundru, V. Kartik, Martin, Hilary C., Huang, Qin Qin, Valkovskaya, Maria, Chu, Chia-Yi, Kanjira, Susan, Kuo, Po-Hsiu, Chen, Hsi-Chung, Tsai, Shih-Jen ... Kuchenbaecker, Karoline (2024). Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. Nature Genetics, 56 (2), 222-233. doi: 10.1038/s41588-023-01596-4

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

2024

Journal Article

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Meng, Xiangrui, Navoly, Georgina, Giannakopoulou, Olga, Levey, Daniel F., Koller, Dora, Pathak, Gita A., Koen, Nastassja, Lin, Kuang, Adams, Mark J., Rentería, Miguel E., Feng, Yanzhe, Gaziano, J. Michael, Stein, Dan J., Zar, Heather J., Campbell, Megan L., van Heel, David A., Trivedi, Bhavi, Finer, Sarah, McQuillin, Andrew, Bass, Nick, Chundru, V. Kartik, Martin, Hilary C., Huang, Qin Qin, Valkovskaya, Maria, Chu, Chia-Yi, Kanjira, Susan, Kuo, Po-Hsiu, Chen, Hsi-Chung, Tsai, Shih-Jen ... BioBank Japan Project (2024). Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference. Nature Genetics, 56 (2), 222-233. doi: 10.1038/s41588-023-01596-4

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

2024

Journal Article

Evening chronotypes with depression report poorer outcomes of SSRIs: A survey-based study of self-ratings

Crouse, Jacob J., Park, Shin Ho, Byrne, Enda M., Mitchell, Brittany L., Chan, Karina, Scott, Jan, Medland, Sarah E., Martin, Nicholas G., Wray, Naomi R. and Hickie, Ian B. (2024). Evening chronotypes with depression report poorer outcomes of SSRIs: A survey-based study of self-ratings. Biological Psychiatry, 96 (1), 4-14. doi: 10.1016/j.biopsych.2023.12.023

Evening chronotypes with depression report poorer outcomes of SSRIs: A survey-based study of self-ratings

2024

Journal Article

Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort

Hartmann, Simon, Cearns, Micah, Pantelis, Christos, Dwyer, Dominic, Cavve, Blake, Byrne, Enda, Scott, Isabelle, Yuen, Hok Pan, Gao, Caroline, Allott, Kelly, Lin, Ashleigh, Wood, Stephen J., Wigman, Johanna T.W., Amminger, G. Paul, McGorry, Patrick D., Yung, Alison R., Nelson, Barnaby and Clark, Scott R. (2024). Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 9 (4), 417-428. doi: 10.1016/j.bpsc.2023.11.009

Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort

2023

Journal Article

Meta-analyses of genome-wide association studies for postpartum depression

Guintivano, Jerry, Byrne, Enda M., Kiewa, Jacqueline, Yao, Shuyang, Bauer, Anna E., Aberg, Karolina A., Adams, Mark J., Campbell, Archie, Campbell, Megan L., Choi, Karmel W., Corfield, Elizabeth C., Havdahl, Alexandra, Hucks, Donald, Koen, Nastassja, Lu, Yi, Maegbaek, Merete L., Mullaer, Jimmy, Peterson, Roseann E., Raffield, Laura M., Sallis, Hannah M., Sealock, Julia M., Walker, Alicia, Watson, Hunna J., Xiong, Ying, Yang, Jessica M. K., Anney, Richard J. L., Gordon-Smith, Katherine, Hubbard, Leon, Jones, Lisa A. ... Sullivan, Patrick (2023). Meta-analyses of genome-wide association studies for postpartum depression. American Journal of Psychiatry, 180 (12), 884-895. doi: 10.1176/appi.ajp.20230053

Meta-analyses of genome-wide association studies for postpartum depression

2023

Journal Article

Discontinuation of antidepressant treatment: a retrospective cohort study on more than 20,000 participants

Garcia-Marin, Luis M., Mulcahy, Aoibhe, Byrne, Enda M., Medland, Sarah E., Wray, Naomi R., Chafota, Freddy, Lind, Penelope A., Martin, Nicholas G., Hickie, Ian B., Rentería, Miguel E. and Campos, Adrian I. (2023). Discontinuation of antidepressant treatment: a retrospective cohort study on more than 20,000 participants. Annals of General Psychiatry, 22 (1) 49, 1-8. doi: 10.1186/s12991-023-00480-z

Discontinuation of antidepressant treatment: a retrospective cohort study on more than 20,000 participants

2023

Journal Article

A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression

Kiewa, Jacqueline, Mortlock, Sally, Meltzer-Brody, Samantha, Middeldorp, Christel, Wray, Naomi R. and Byrne, Enda M. (2023). A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression. Neuroendocrinology, 113 (10), 1059-1075. doi: 10.1159/000533413

A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression

2023

Journal Article

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

Docherty, Anna R., Mullins, Niamh, Ashley-Koch, Allison E., Qin, Xuejun, Coleman, Jonathan R.I., Shabalin, Andrey, Kang, JooEun, Murnyak, Balasz, Wendt, Frank, Adams, Mark, Campos, Adrian I., DiBlasi, Emily, Fullerton, Janice M., Kranzler, Henry R., Bakian, Amanda V., Monson, Eric T., Rentería, Miguel E., Walss-Bass, Consuelo, Andreassen, Ole A., Behera, Chittaranjan, Bulik, Cynthia M., Edenberg, Howard J., Kessler, Ronald C., Mann, J. John, Nurnberger, John I., Pistis, Giorgio, Streit, Fabian, Ursano, Robert J., Polimanti, Renato ... German Borderline Genomics Consortium (2023). GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors. American Journal of Psychiatry, 180 (10), 723-738. doi: 10.1176/appi.ajp.21121266

GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors

2023

Journal Article

Using electronic health record data to predict future self‐harm or suicidal ideation in young people treated by child and youth mental health services

Tennakoon, Gayani, Byrne, Enda M., Vaithianathan, Rhema and Middeldorp, Christel M. (2023). Using electronic health record data to predict future self‐harm or suicidal ideation in young people treated by child and youth mental health services. Suicide and Life-Threatening Behavior, 53 (5), 853-869. doi: 10.1111/sltb.12988

Using electronic health record data to predict future self‐harm or suicidal ideation in young people treated by child and youth mental health services

2023

Journal Article

The association between trauma exposure, polygenic risk and individual depression symptoms

Thorp, Jackson G., Gerring, Zachary F., Colodro-Conde, Lucía, Byrne, Enda M., Medland, Sarah E., Middeldorp, Christel M. and Derks, Eske M. (2023). The association between trauma exposure, polygenic risk and individual depression symptoms. Psychiatry Research, 321 115101, 1-8. doi: 10.1016/j.psychres.2023.115101

The association between trauma exposure, polygenic risk and individual depression symptoms

2023

Journal Article

Polygenic risk scores and the prediction of onset of mood and psychotic disorders in adolescents and young adults

Scott, Jan, Crouse, Jacob J., Medland, Sarah, Byrne, Enda, Iorfino, Frank, Mitchell, Brittany, Gillespie, Nathan A., Martin, Nicholas, Wray, Naomi and Hickie, Ian B. (2023). Polygenic risk scores and the prediction of onset of mood and psychotic disorders in adolescents and young adults. Early Intervention in Psychiatry, 18 (6), 397-405. doi: 10.1111/eip.13472

Polygenic risk scores and the prediction of onset of mood and psychotic disorders in adolescents and young adults

2022

Journal Article

Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study

Gomez, Lina, Díaz-Torres, Santiago, Colodro-Conde, Lucía, Garcia-Marin, Luis M., Yap, Chloe X., Byrne, Enda M., Yengo, Loic, Lind, Penelope A., Wray, Naomi R., Medland, Sarah E., Hickie, Ian B., Lupton, Michelle K., Rentería, Miguel E., Martin, Nicholas G. and Campos, Adrian I. (2022). Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study. European Archives of Psychiatry and Clinical Neuroscience, 273 (6), 1359-1368. doi: 10.1007/s00406-022-01527-0

Phenotypic and genetic factors associated with donation of DNA and consent to record linkage for prescription history in the Australian Genetics of Depression Study

2022

Journal Article

Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis(Front. Psychiatry, (2021), 12, (734077), 10.3389/fpsyt.2021.734077)

Melhuish Beaupre, Lindsay M., Tiwari, Arun K., Gonçalves, Vanessa F., Zai, Clement C., Marshe, Victoria S., Lewis, Cathryn M., Martin, Nicholas G., McIntosh, Andrew M., Adams, Mark J., Baune, Bernhard T., Levinson, Doug F., Boomsma, Dorret I., Penninx, Brenda W. J. H., Breen, Gerome, Hamilton, Steve, Awasthi, Swapnil, Ripke, Stephan, Jones, Lisa, Jones, Ian, Byrne, Enda M., Hickie, Ian B., Potash, James P., Shi, Jianxin, Weissman, Myrna M., Milaneschi, Yuri, Shyn, Stanley I., Geus, Eco J. C. de, Willemsen, Gonneke, Brown, Gregory M. and Kennedy, James L. (2022). Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis(Front. Psychiatry, (2021), 12, (734077), 10.3389/fpsyt.2021.734077). Frontiers in Psychiatry, 13 893816, 893816. doi: 10.3389/fpsyt.2022.893816

Corrigendum: Potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: A polygenic risk score analysis(Front. Psychiatry, (2021), 12, (734077), 10.3389/fpsyt.2021.734077)

2022

Journal Article

Clinical, demographic, and genetic risk factors of treatment‐attributed suicidality in >10,000 Australian adults taking antidepressants

Campos, Adrian I., Byrne, Enda M., Iorfino, Frank, Fabbri, Chiara, Hickie, Ian B., Lewis, Cathryn M., Wray, Naomi R., Medland, Sarah E., Rentería, Miguel E. and Martin, Nicholas G. (2022). Clinical, demographic, and genetic risk factors of treatment‐attributed suicidality in >10,000 Australian adults taking antidepressants. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 189 (6), 196-206. doi: 10.1002/ajmg.b.32913

Clinical, demographic, and genetic risk factors of treatment‐attributed suicidality in >10,000 Australian adults taking antidepressants

2022

Journal Article

Lifetime prevalence and correlates of perinatal depression in a case-cohort study of depression

Kiewa, Jacqueline, Meltzer-Brody, Samantha, Milgrom, Jeannette, Bennett, Elizabeth, Mackle, Tracey, Guintivano, Jerry, Hickie, Ian B, Colodro-Conde, Lucia, Medland, Sarah E, Martin, Nick, Wray, Naomi and Byrne, Enda (2022). Lifetime prevalence and correlates of perinatal depression in a case-cohort study of depression. BMJ Open, 12 (8) e059300, 1-7. doi: 10.1136/bmjopen-2021-059300

Lifetime prevalence and correlates of perinatal depression in a case-cohort study of depression

Current funding

  • 2023 - 2027
    Enabling pharmacogenomics in the Australian context: improving the accuracy of clinical utility and cost effectiveness analyses (MRFF externally administered by QIMR)
    Queensland Institute of Medical Research
    Open grant
  • 2022 - 2027
    Youth-GEMs: Gene Environment interactions in Mental health trajectories of Youth
    NHMRC European Union Collaborative Research Grants
    Open grant
  • 2022 - 2027
    Gene Environment interactions in Mental health trajectories of Youth - YOUTH-GEMs (EU grant administered by Maastricht University)
    Maastricht University
    Open grant
  • 2020 - 2025
    Australian Pharmacogenomics Diversity Project: Examining the evidence and improving the performance of pharmacogenomics in the Australian context (MRFF grant administered by QIMR Berghofer)
    Queensland Institute of Medical Research
    Open grant
  • 2019 - 2024
    Postpartum Depression: Action Towards Causes and Treatment
    Research Donation Generic
    Open grant

Past funding

  • 2018 - 2022
    Postpartum Depression: Action Towards Causes and Treatment
    NHMRC Project Grant
    Open grant
  • 2015 - 2019
    Tackling heterogeneity in the etiology of major depressive disorder (NHMRC Project Grant administered by QIMR)
    Queensland Institute of Medical Research
    Open grant
  • 2014 - 2017
    Discovering deep sleep genes and determining their roles for preserving cognitive functions
    NHMRC Project Grant
    Open grant
  • 2013 - 2017
    NHMRC Early Career Fellowship (CJ Martin - Overseas Biomedical Fellowship): Using new genomic technologies, statistical and computational methods to uncover the genetic aetiology of complex traits
    NHMRC Training (Postdoctoral) Fellowship
    Open grant

Availability

Dr Enda Byrne is:
Available for supervision

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Available projects

  • Gene Environment interactions in Mental health trajectories of Youth (Youth-GEMs)

    Mental health problems are common in young people, with life-long enduring impacts on individuals, families and societies. More than 63% of mental disorders throughout the life span emerge before 24 years of age, peaking at 14.5-18 years. Adolescence and young adulthood represent a critical period that forecasts the level of mental wellbeing over lifetime and interventions early in life may be critical in preventing later mental illness.

    The Child and Youth Mental Health Group is part of an Australian and European Union-funded consortium called Youth-GEMs that seeks to characterise and model trajectories of mental health in youth. In collaboration with researchers from universities in Europe, this project will combine datasets from longitudinal cohort studies from around the world to investigate the interplay between genetic, epigenetic, and environmental risk in influencing mental health across development.

    This project will involve advanced data analytics and statistical inference and will involve combining and analysing different types of data including genetic, clinical and environmental data. The ultimate goal is to develop predictive tools that can be used to aid clinical decision-making in youth mental health.

    We are seeking a motivated PhD scholar with a background in genetics, biomedical science, psychology, data science, machine learning or a related field to join our team and work closely with collaborators overseas on this project. There is also the possibility to spend time overseas at one of the collaborating labs.

Supervision history

Current supervision

  • Doctor Philosophy

    Genetics of childhood onset psychiatric symptoms, their persistence and comorbidity with other traits

    Principal Advisor

    Other advisors: Professor Naomi Wray

  • Doctor Philosophy

    Gene Environment interactions in Mental health trajectories of Youth

    Principal Advisor

  • Doctor Philosophy

    ELUCIDATING LIFESTYLE AND GENETIC FACTORS UNDERLYING DEPRESSION HETEROGENEITY AND TREATMENT RESPONSE

    Associate Advisor

    Other advisors: Professor Naomi Wray

Completed supervision

Enquiries

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