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Dr Enda Byrne
Dr

Enda Byrne

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Overview

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.

Works

Search Professor Enda Byrne’s works on UQ eSpace

187 works between 2007 and 2025

181 - 187 of 187 works

2010

Journal Article

Cross-Disorder Genomewide Analysis of Schizophrenia, Bipolar Disorder, and Depression

Huang, Jie, Perlis, Roy H., Lee, Phil H., Rush, A. John, Fava, Maurizio, Sachs, Gary S., Lieberman, Jeffrey, Hamilton, Steven P., Sullivan, Patrick, Sklar, Pamela, Purcell, Shaun and Smoller, Jordan W. (2010). Cross-Disorder Genomewide Analysis of Schizophrenia, Bipolar Disorder, and Depression. American Journal of Psychiatry, 167 (10), 1254-1263. doi: 10.1176/appi.ajp.2010.09091335

Cross-Disorder Genomewide Analysis of Schizophrenia, Bipolar Disorder, and Depression

2010

Other Outputs

Mitochondrial and Autosomal Genetic Analyses in the Australian Population

Enda Byrne (2010). Mitochondrial and Autosomal Genetic Analyses in the Australian Population. PhD Thesis, School of Medicine, The University of Queensland.

Mitochondrial and Autosomal Genetic Analyses in the Australian Population

2009

Journal Article

Family-based mitochondrial association study of traits related to type 2 diabetes and the metabolic syndrome in adolescents

E. M. Byrne, A. F. McRae, D. L. Duffy, Z. Z. Zhao, N. G. Martin, J. B. Whitfield, P. M. Visscher and G. W. Montgomery (2009). Family-based mitochondrial association study of traits related to type 2 diabetes and the metabolic syndrome in adolescents. Diabetologia, 52 (11), 2359-2368. doi: 10.1007/s00125-009-1510-9

Family-based mitochondrial association study of traits related to type 2 diabetes and the metabolic syndrome in adolescents

2009

Journal Article

Association Study of Common Mitochondrial Variants and Cognitive Ability

Byrne, EM, McRae, AF, Duffy, DL, Zhao, ZZ, Martin, NG, Wright, MJ, Montgomery, GW and Visscher, PM (2009). Association Study of Common Mitochondrial Variants and Cognitive Ability. BEHAVIOR GENETICS, 39 (5), 504-512. doi: 10.1007/s10519-009-9276-x

Association Study of Common Mitochondrial Variants and Cognitive Ability

2008

Journal Article

The use of common mitochondrial variants to detect and characterise population structure in the Australian population: Implications for genome-wide association studies

Byrne, Enda M., Mcrae, Allan F., Zhao, Zhen-Zhen, Martin, Nicholas G., Montgomery, Grant W. and Visscher, Peter M. (2008). The use of common mitochondrial variants to detect and characterise population structure in the Australian population: Implications for genome-wide association studies. European Journal of Human Genetics, 16 (11), 1396-1403. doi: 10.1038/ejhg.2008.117

The use of common mitochondrial variants to detect and characterise population structure in the Australian population: Implications for genome-wide association studies

2008

Journal Article

Power and SNP tagging in whole mitochondrial genome association studies

McRae, Allan F., Byrne, Enda M., Zhao, Zhen Zhen, Montgomery, Grant W. and Visscher, Peter M. (2008). Power and SNP tagging in whole mitochondrial genome association studies. Genome Research, 18 (6), 911-917. doi: 10.1101/gr.074872.107

Power and SNP tagging in whole mitochondrial genome association studies

2007

Journal Article

The influence of twin pair permutation on likelihood-based-estimates of genetic variance that require ordering of twin-pairs

Byrne, Enda, Stillitano, Maria, Williams, Christopher J. and Christian, Joe C. (2007). The influence of twin pair permutation on likelihood-based-estimates of genetic variance that require ordering of twin-pairs. Behavior Genetics, 37 (4), 617-620. doi: 10.1007/s10519-007-9154-3

The influence of twin pair permutation on likelihood-based-estimates of genetic variance that require ordering of twin-pairs

Funding

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

Past funding

  • 2019 - 2024
    Postpartum Depression: Action Towards Causes and Treatment
    Research Donation Generic
    Open grant
  • 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

Supervision

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 Neurodevelopmental Disorders and associated comorbidities

    Principal Advisor

    Other advisors: Dr Allan McRae

  • Doctor Philosophy

    Gene Environment interactions in Mental health trajectories of Youth

    Principal Advisor

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Professor Naomi Wray

  • Doctor Philosophy

    ELUCIDATING LIFESTYLE AND GENETIC FACTORS UNDERLYING DEPRESSION HETEROGENEITY AND TREATMENT RESPONSE

    Associate Advisor

    Other advisors: Professor Naomi Wray

  • Doctor Philosophy

    Multi-Omic Analyses of a Clinical Trial Cohort of Young People at Ultra-High Risk for Psychosis

    Associate Advisor

    Other advisors: Dr Allan McRae, Professor Naomi Wray

Completed supervision

Media

Enquiries

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