Skip to menu Skip to content Skip to footer
Associate Professor Miguel Rentería
Associate Professor

Miguel Rentería

Email: 

Overview

Background

I am a genetic epidemiologist specialising in the genetics of neurodegenerative diseases, with a particular focus on Parkinson’s disease, chronic pain, and other age-related conditions. I lead a dynamic team of scientists dedicated to understanding how genetic and environmental factors influence neurodegeneration, brain health, and related health outcomes. My research is interdisciplinary, integrating advanced statistical genetics, bioinformatics, and data science to unravel disease mechanisms, improve patient stratification, and identify potential therapeutic targets.

In 2020, I founded the Australian Parkinson’s Genetics Study (APGS), now the largest Parkinson’s cohort in Australia with over 10,000 participants. This landmark study has positioned Australia as a key contributor to global Parkinson’s genetics research. I am also actively involved in the Global Parkinson’s Genetics Program (GP2), where I contribute to large-scale data analysis and work within the underrepresented populations working group to enhance diversity in genetic research worldwide.

Committed to training the next generation of researchers, I have supervised over 16 students, including several PhD candidates who have gone on to successful careers in academia and industry. Two of my recent PhD graduates received the Outstanding Thesis Award, and another received the AIPS Florey Next Generation Award.

I have published consistently in prominent journals, including Nature, Nature Genetics, Nature Communications, BRAIN, Biological Psychiatry, and SLEEP. To date, I have authored over 100 academic articles, which have been widely cited, and I have secured competitive funding from NHMRC, MRFF, The Michael J. Fox Foundation for Parkinson’s Research, Shake It Up Australia Foundation, the US National Institutes of Health, and the Alzheimer’s Association. My work has been recognised with several prestigious awards, including the 2023 Al & Val Rosenstrauss Fellowship from the Rebecca L Cooper Medical Research Foundation, the 2021 Enrico Greppi International Migraine Research Award, and the 2024 Adele Green Emerging Leader Award from QIMR Berghofer Medical Research Institute. I am also a Global Atlantic Fellow for Equity in Brain Health, a program by the University of California San Francisco and Trinity College Dublin, which supports my commitment to promoting brain health equity worldwide.

Availability

Associate Professor Miguel Rentería is:
Available for supervision
Media expert

Qualifications

  • Bachelor (Honours) of Genomics, Universidad Nacional Autónoma de México (UNAM)
  • Doctor of Philosophy of Genetics, The University of Queensland
  • Masters (Coursework) of Public Policy, University of Oxford

Works

Search Professor Miguel Rentería’s works on UQ eSpace

164 works between 2008 and 2025

81 - 100 of 164 works

2022

Journal Article

Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis

Ogonowski, Natalia, Salcidua, Stefanny, Leon, Tomas, Chamorro-Veloso, Nayaret, Valls, Cristian, Avalos, Constanza, Bisquertt, Alejandro, Rentería, Miguel E., Orellana, Paulina and Duran-Aniotz, Claudia (2022). Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis. Frontiers in Aging Neuroscience, 13 807764, 807764. doi: 10.3389/fnagi.2021.807764

Systematic Review: microRNAs as Potential Biomarkers in Mild Cognitive Impairment Diagnosis

2021

Journal Article

Genetic basis to structural grey matter associations with chronic pain

Farrell, Scott F, Campos, Adrián I, Kho, Pik-Fang, de Zoete, Rutger M J, Sterling, Michele, Rentería, Miguel E, Ngo, Trung Thanh and Cuéllar-Partida, Gabriel (2021). Genetic basis to structural grey matter associations with chronic pain. Brain, 144 (12), 3611-3622. doi: 10.1093/brain/awab334

Genetic basis to structural grey matter associations with chronic pain

2021

Journal Article

Phenome-wide analysis highlights putative causal relationships between self-reported migraine and other complex traits

García-Marín, Luis M., Campos, Adrián I., Martin, Nicholas G., Cuéllar-Partida, Gabriel and Rentería, Miguel E. (2021). Phenome-wide analysis highlights putative causal relationships between self-reported migraine and other complex traits. Journal of Headache and Pain, 22 (1) 66, 66. doi: 10.1186/s10194-021-01284-w

Phenome-wide analysis highlights putative causal relationships between self-reported migraine and other complex traits

2021

Journal Article

Large-scale genetic investigation reveals genetic liability to multiple complex traits influencing a higher risk of ADHD

García-Marín, Luis M., Campos, Adrián I., Cuéllar-Partida, Gabriel, Medland, Sarah E., Kollins, Scott H. and Rentería, Miguel E. (2021). Large-scale genetic investigation reveals genetic liability to multiple complex traits influencing a higher risk of ADHD. Scientific Reports, 11 (1) 22628, 22628. doi: 10.1038/s41598-021-01517-7

Large-scale genetic investigation reveals genetic liability to multiple complex traits influencing a higher risk of ADHD

2021

Journal Article

Suicidal ideation and planning among Mexican adolescents are associated with depression polygenic risk scores

Martinez‐Levy, Gabriela A., Campos, Adrian I., Rabinowitz, Jill A., García‐Marín, Luis M., Benjet, Corina, Méndez, Enrique, Rentería, Miguel E. and Cruz‐Fuentes, Carlos S. (2021). Suicidal ideation and planning among Mexican adolescents are associated with depression polygenic risk scores. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 186 (8) ajmg.b.32864, 476-484. doi: 10.1002/ajmg.b.32864

Suicidal ideation and planning among Mexican adolescents are associated with depression polygenic risk scores

2021

Journal Article

Understanding the effect of smoking and drinking behavior on Parkinson's disease risk: a Mendelian randomization study

Domínguez-Baleón, Carmen, Ong, Jue-Sheng, Scherzer, Clemens R., Rentería, Miguel E. and Dong, Xianjun (2021). Understanding the effect of smoking and drinking behavior on Parkinson's disease risk: a Mendelian randomization study. Scientific Reports, 11 (1) 13980. doi: 10.1038/s41598-021-93105-y

Understanding the effect of smoking and drinking behavior on Parkinson's disease risk: a Mendelian randomization study

2021

Journal Article

Understanding genetic risk factors for common side effects of antidepressant medications

Campos, Adrian I., Mulcahy, Aoibhe, Thorp, Jackson G., Wray, Naomi R., Byrne, Enda M., Lind, Penelope A., Medland, Sarah E., Martin, Nicholas G., Hickie, Ian B. and Rentería, Miguel E. (2021). Understanding genetic risk factors for common side effects of antidepressant medications. Communications Medicine, 1 (1) 45, 1-10. doi: 10.1038/s43856-021-00046-8

Understanding genetic risk factors for common side effects of antidepressant medications

2021

Journal Article

Identifying complex lncRNA/Pseudogene–miRNA–mRNA crosstalk in hormone-dependent cancers

Jayarathna, Dulari K., Rentería, Miguel E., Sauret, Emilie, Batra, Jyotsna and Gandhi, Neha S. (2021). Identifying complex lncRNA/Pseudogene–miRNA–mRNA crosstalk in hormone-dependent cancers. Biology, 10 (10) 1014, 1014. doi: 10.3390/biology10101014

Identifying complex lncRNA/Pseudogene–miRNA–mRNA crosstalk in hormone-dependent cancers

2021

Journal Article

Factors that affect patient attrition in buprenorphine treatment for opioid use disorder: a retrospective real-world study using electronic health records

Ker, Sheryl, Hsu, Jennifer, Balani, Anisha, Mukherjee, Sankha Subhra, Rush, A John, Khan, Mehreen, Elchehabi, Sara, Huffhines, Seth, DeMoss, Dustin, Rentería, Miguel E and Sarkar, Joydeep (2021). Factors that affect patient attrition in buprenorphine treatment for opioid use disorder: a retrospective real-world study using electronic health records. Neuropsychiatric Disease and Treatment, 17, 3229-3244. doi: 10.2147/ndt.s331442

Factors that affect patient attrition in buprenorphine treatment for opioid use disorder: a retrospective real-world study using electronic health records

2021

Other Outputs

Structural brain alterations associated with suicidal thoughts and behaviors in young people: results across 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

van Velzen, Laura S., Dauvermann, Maria R., Colic, Lejla, Villa, Luca M., Savage, Hannah S., Toenders, Yara J., Zhu, Alyssa H., Bright, Joanna K., Campos, Adrián I., Salminen, Lauren, Ambrogi, Sonia, Ayesa-Arriola, Rosa, Banaj, Nerisa, Başgöze, Zeynep, Bauer, Jochen, Blair, Karina, Blair, Robert James, Brosch, Katharina, Cheng, Yuqi, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Crespo-Facorro, Benedicto, Cullen, Kathryn R., Dannlowski, Udo, Davey, Christopher G., Dohm, Katharina, Fullerton, Janice M. ... Schmaal, Lianne (2021). Structural brain alterations associated with suicidal thoughts and behaviors in young people: results across 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium. doi: 10.1101/2021.09.27.21264068

Structural brain alterations associated with suicidal thoughts and behaviors in young people: results across 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium

2021

Journal Article

Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression risk

Miles, Amy E., Dos Santos, Fernanda C., Byrne, Enda M., Renteria, Miguel E., McIntosh, Andrew M., Adams, Mark J., Pistis, Giorgio, Castelao, Enrique, Preisig, Martin, Baune, Bernhard T., Schubert, K. Oliver, Lewis, Cathryn M., Jones, Lisa A., Jones, Ian, Uher, Rudolf, Smoller, Jordan W., Perlis, Roy H., Levinson, Douglas F., Potash, James B., Weissman, Myrna M., Shi, Jianxin, Lewis, Glyn, Penninx, Brenda W. J. H., Boomsma, Dorret I., Hamilton, Steven P., Sibille, Etienne, Hariri, Ahmad R., Nikolova, Yuliya S. and Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2021). Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression risk. Neuropsychopharmacology, 46 (13), 2304-2311. doi: 10.1038/s41386-021-01189-x

Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression risk

2021

Journal Article

Integrative transcriptome-wide analyses uncover novel risk-associated MicroRNAs in hormone-dependent cancers

Jayarathna, Dulari K., Rentería, Miguel E., Malik, Adil, Sauret, Emilie, Batra, Jyotsna and Gandhi, Neha S. (2021). Integrative transcriptome-wide analyses uncover novel risk-associated MicroRNAs in hormone-dependent cancers. Frontiers in Genetics, 12 716236. doi: 10.3389/fgene.2021.716236

Integrative transcriptome-wide analyses uncover novel risk-associated MicroRNAs in hormone-dependent cancers

2021

Journal Article

Genetic susceptibility to pneumonia: a GWAS meta-analysis between the UK Biobank and FinnGen

Campos, Adrian I., Kho, Pik, Vazquez-Prada, Karla X., García-Marín, Luis M., Martin, Nicholas G., Cuéllar-Partida, Gabriel and Rentería, Miguel E. (2021). Genetic susceptibility to pneumonia: a GWAS meta-analysis between the UK Biobank and FinnGen. Twin Research and Human Genetics, 24 (3) PII S183242742100027X, 145-154. doi: 10.1017/thg.2021.27

Genetic susceptibility to pneumonia: a GWAS meta-analysis between the UK Biobank and FinnGen

2021

Other Outputs

Understanding genetic risk factors for common side effects of antidepressant medications

Campos, Adrian I., Mulcahy, Aoibhe, Thorp, Jackson G., Wray, Naomi R., Byrne, Enda M., Lind, Penelope A., Medland, Sarah E., Martin, Nicholas G., Hickie, Ian B. and Rentería, Miguel E. (2021). Understanding genetic risk factors for common side effects of antidepressant medications. doi: 10.1101/2021.07.12.21260397

Understanding genetic risk factors for common side effects of antidepressant medications

2021

Journal Article

Genetic risk for chronic pain is associated with lower antidepressant effectiveness: converging evidence for a depression subtype

Campos, Adrián I., Ngo, Trung Thanh, Medland, Sarah E., Wray, Naomi R., Hickie, Ian B., Byrne, Enda M., Martin, Nicholas G. and Rentería, Miguel E. (2021). Genetic risk for chronic pain is associated with lower antidepressant effectiveness: converging evidence for a depression subtype. Australian and New Zealand Journal of Psychiatry, 56 (9) 00048674211031491, 1-10. doi: 10.1177/00048674211031491

Genetic risk for chronic pain is associated with lower antidepressant effectiveness: converging evidence for a depression subtype

2021

Journal Article

Genetic propensity for risky behavior and depression and risk of lifetime suicide attempt among urban African Americans in adolescence and young adulthood

Rabinowitz, Jill A., Jin, Jin, Kahn, Geoffrey, Kuo, Sally I.‐Chun, Campos, Adrian, Renteria, Miguel, Benke, Kelly, Wilcox, Holly, Ialongo, Nicholas S., Maher, Brion S., Kertes, Darlene, Eaton, William, Uhl, George, Wagner, Barry M. and Cohen, Daniel (2021). Genetic propensity for risky behavior and depression and risk of lifetime suicide attempt among urban African Americans in adolescence and young adulthood. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 186 (8) ajmg.b.32866, 456-468. doi: 10.1002/ajmg.b.32866

Genetic propensity for risky behavior and depression and risk of lifetime suicide attempt among urban African Americans in adolescence and young adulthood

2021

Journal Article

Phenome-wide screening of GWAS data reveals the complex causal architecture of obesity

García-Marín, Luis M., Campos, Adrián I., Kho, Pik-Fang, Martin, Nicholas G., Cuéllar-Partida, Gabriel and Rentería, Miguel E. (2021). Phenome-wide screening of GWAS data reveals the complex causal architecture of obesity. Human Genetics, 140 (8), 1253-1265. doi: 10.1007/s00439-021-02298-9

Phenome-wide screening of GWAS data reveals the complex causal architecture of obesity

2021

Conference Publication

Structural Brain Alterations Associated With Suicidal Ideation and Attempt: Mega-Analytic Results Across 37 International Studies

van Velzen, Laura, Jahanshad, Neda, Campos, Adrian, Salminen, Lauren, Renteria, Miguel and Schmaal, Lianne (2021). Structural Brain Alterations Associated With Suicidal Ideation and Attempt: Mega-Analytic Results Across 37 International Studies. Society of Biological Psychiatry’s 2021 Annual Scientific Convention and Meeting, New Orleans, LA United States, 28-30 April 2022. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.biopsych.2021.02.072

Structural Brain Alterations Associated With Suicidal Ideation and Attempt: Mega-Analytic Results Across 37 International Studies

2021

Journal Article

Comorbid chronic pain and depression: shared risk factors and differential antidepressant effectiveness

Roughan, William H., Campos, Adrián I., García-Marín, Luis M., Cuéllar-Partida, Gabriel, Lupton, Michelle K., Hickie, Ian B., Medland, Sarah E., Wray, Naomi R., Byrne, Enda M., Ngo, Trung Thanh, Martin, Nicholas G. and Rentería, Miguel E. (2021). Comorbid chronic pain and depression: shared risk factors and differential antidepressant effectiveness. Frontiers in Psychiatry, 12 643609, 1-13. doi: 10.3389/fpsyt.2021.643609

Comorbid chronic pain and depression: shared risk factors and differential antidepressant effectiveness

2021

Other Outputs

Shared genetic etiology between cortical brain morphology and tobacco, alcohol, and cannabis use

Rabinowitz, Jill A., Campos, Adrian I., Ong, Jue-Sheng, García-Marín, Luis M., Alcauter, Sarael, Mitchell, Brittany L., Grasby, Katrina S., Cuéllar-Partida, Gabriel, Gillespie, Nathan A., Huhn, Andrew S., Martin, Nicholas G., Thompson, Paul M., Medland, Sarah E., Maher, Brion S. and Rentería, Miguel E. (2021). Shared genetic etiology between cortical brain morphology and tobacco, alcohol, and cannabis use. doi: 10.1101/2021.03.28.21254282

Shared genetic etiology between cortical brain morphology and tobacco, alcohol, and cannabis use

Supervision

Availability

Associate Professor Miguel Rentería is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Monogenic Parkinson's disease among individuals from underrepresented backgrounds in Australia and Mexico

    Principal Advisor

  • Doctor Philosophy

    Elucidating the genetic architecture of neuropsychiatric phenotypes and other complex human traits

    Principal Advisor

    Other advisors: Professor Nick Martin

  • Doctor Philosophy

    Elucidating the genetic architecture of neuropsychiatric phenotypes and other complex human traits

    Principal Advisor

    Other advisors: Professor Nick Martin

  • Doctor Philosophy

    Elucidating the genetic architecture of neuropsychiatric phenotypes and other complex human traits

    Principal Advisor

    Other advisors: Professor Nick Martin

  • Doctor Philosophy

    Genetic Aetiology of Cognitive and Speech-Related Features in Parkinson's Disease

    Principal Advisor

  • Doctor Philosophy

    From Genes to Brain Networks: AI Approaches to Understanding the Genetic Foundations of Brain Functionality in Health and Disease

    Associate Advisor

  • Doctor Philosophy

    Understanding the genetic aetiology of age-related diseases in diverse populations

    Associate Advisor

  • Master Philosophy

    Application of machine learning techniques on longitudinal fitness tracker data to augment disease risk prediction.

    Associate Advisor

    Other advisors: Dr Quan Nguyen

  • Doctor Philosophy

    Bridging gaps on the genetics of age-related disorder among under-represented populations

    Associate Advisor

  • Doctor Philosophy

    Genetic architecture of differences in symptomatology and treatment response in major depressive disorder

    Associate Advisor

    Other advisors: Professor Nick Martin, Honorary Professor Sarah Medland

Completed supervision

Media

Enquiries

Contact Associate Professor Miguel Rentería directly for media enquiries about:

  • Human genetics
  • Parkinson's disease

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au