Associate Professor Miguel Rentería
Associate Professor

Miguel Rentería

Email: 

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

Fields of research

Biomedical and Clinical Sciences Neurology and neuromuscular diseases Neurosciences

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

Search Professor Miguel Rentería’s works on UQ eSpace

164 works between 2008 and 2026
All (164) Journal Article (131) Book Chapter (2) Conference Publication (30) Other Outputs (1)

81 - 100 of 164 works

2022

Journal Article

Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

Wang, Tao, Rentería, Miguel E. and Peng, Jiajie (2022). Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics. Frontiers in Genetics, 13 895796. doi: 10.3389/fgene.2022.895796

Editorial: Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics

2022

Journal Article

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

Patel, Rashmi, Wee, Soon Nan, Ramaswamy, Rajagopalan, Thadani, Simran, Tandi, Jesisca, Garg, Ruchir, Calvanese, Nathan, Valko, Matthew, Rush, A. John, Rentería, Miguel E., Sarkar, Joydeep and Kollins, Scott H. (2022). NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data. BMJ Open, 12 (4) e057227, 1-11. doi: 10.1136/bmjopen-2021-057227

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

2022

Journal Article

Genomics-driven screening for causal determinants of suicide attempt

Campos, Adrian I., Garcia-Marin, Luis M., Christensen, Helen, Batterham, Philip J., van Velzen, Laura S., Schmaal, Lianne, Rabinowitz, Jill A., Jahanshad, Neda, Martin, Nicholas G., Cuellar-Partida, Gabriel, Ruderfer, Douglas, Mullins, Niamh, Rentería, Miguel E. and The International Suicide Genetics Consortium (2022). Genomics-driven screening for causal determinants of suicide attempt. Australian and New Zealand Journal of Psychiatry, 57 (3) 00048674221091499, 48674221091499-431. doi: 10.1177/00048674221091499

Genomics-driven screening for causal determinants of suicide attempt

2022

Journal Article

Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans

Rabinowitz, Jill A., Jin, Jin, Kuo, Sally I-Chun, Campos, Adrian I., Rentería, Miguel E., Huhn, Andrew S., Thrul, Johannes, Reboussin, Beth A., Benke, Kelly, Domingue, Benjamin, Ialongo, Nicholas S., Maher, Brion S., Kertes, Darlene, Troiani, Vanessa and Uhl, George (2022). Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans. PloS One, 17 (4) e0266384, e0266384. doi: 10.1371/journal.pone.0266384

Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans

2022

Journal Article

Identifying the Common Genetic Basis of Antidepressant Response

Pain, Oliver, Hodgson, Karen, Trubetskoy, Vassily, Ripke, Stephan, Marshe, Victoria S., Adams, Mark J., Byrne, Enda M., Campos, Adrian I., Carrillo-Roa, Tania, Cattaneo, Annamaria, Als, Thomas D., Souery, Daniel, Dernovsek, Mojca Z., Fabbri, Chiara, Hayward, Caroline, Henigsberg, Neven, Hauser, Joanna, Kennedy, James L., Lenze, Eric J., Lewis, Glyn, Müller, Daniel J., Martin, Nicholas G., Mulsant, Benoit H., Mors, Ole, Perroud, Nader, Porteous, David J., Rentería, Miguel E., Reynolds, Charles F., Rietschel, Marcella ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2022). Identifying the Common Genetic Basis of Antidepressant Response. Biological Psychiatry Global Open Science, 2 (2), 115-126. doi: 10.1016/j.bpsgos.2021.07.008

Identifying the Common Genetic Basis of Antidepressant Response

2022

Journal Article

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 L, 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 (2022). Shared genetic etiology between cortical brain morphology and tobacco, alcohol, and cannabis use. Cerebral Cortex, 32 (4), 796-807. doi: 10.1093/cercor/bhab243

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

2022

Journal Article

Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study

van Velzen, Laura S., Toenders, Yara J., Avila-Parcet, Aina, Dinga, Richard, Rabinowitz, Jill A., Campos, Adrián I., Jahanshad, Neda, Rentería, Miguel E. and Schmaal, Lianne (2022). Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study. The British Journal of Psychiatry, 220 (4), 1-9. doi: 10.1192/bjp.2022.7

Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study

2022

Journal Article

Genome-wide association meta-analysis identifies 29 new acne susceptibility loci

Mitchell, Brittany L., Saklatvala, Jake R., Dand, Nick, Hagenbeek, Fiona A., Li, Xin, Min, Josine L., Thomas, Laurent, Bartels, Meike, Jan Hottenga, Jouke, Lupton, Michelle K., Boomsma, Dorret I., Dong, Xianjun, Hveem, Kristian, Løset, Mari, Martin, Nicholas G., Barker, Jonathan N., Han, Jiali, Smith, Catherine H., Rentería, Miguel E. and Simpson, Michael A. (2022). Genome-wide association meta-analysis identifies 29 new acne susceptibility loci. Nature Communications, 13 (1) 702, 702. doi: 10.1038/s41467-022-28252-5

Genome-wide association meta-analysis identifies 29 new acne susceptibility loci

2022

Journal Article

Australian Parkinson’s Genetics Study (APGS): pilot (n=1532)

Bivol, Svetlana, Mellick, George D., Gratten, Jacob, Parker, Richard, Mulcahy, Aoibhe, Mosley, Philip E., Poortvliet, Peter C., Campos, Adrian I., Mitchell, Brittany L., Garcia-Marin, Luis M., Cross, Simone, Ferguson, Mary, Lind, Penelope A., Loesch, Danuta Z., Visscher, Peter M., Medland, Sarah E., Scherzer, Clemens R., Martin, Nicholas G. and Rentería, Miguel E. (2022). Australian Parkinson’s Genetics Study (APGS): pilot (n=1532). BMJ Open, 12 (2) e052032, e052032. doi: 10.1136/bmjopen-2021-052032

Australian Parkinson’s Genetics Study (APGS): pilot (n=1532)

2022

Journal Article

Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors

Mullins, Niamh, Kang, JooEun, Campos, Adrian I., Coleman, Jonathan R I, Edwards, Alexis C., Galfalvy, Hanga, Levey, Daniel F., Lori, Adriana, Shabalin, Andrey, Starnawska, Anna, Su, Mei-Hsin, Watson, Hunna J., Adams, Mark, Awasthi, Swapnil, Gandal, Michael, Hafferty, Jonathan D., Hishimoto, Akitoyo, Kim, Minsoo, Okazaki, Satoshi, Otsuka, Ikuo, Ripke, Stephan, Ware, Erin B., Bergen, Andrew W., Berrettini, Wade H., Bohus, Martin, Brandt, Harry, Chang, Xiao, Chen, Wei J., Chen, Hsi-Chung ... Ruderfer, Douglas M. (2022). Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors. Biological Psychiatry, 91 (3), 313-327. doi: 10.1016/j.biopsych.2021.05.029

Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors

2022

Journal Article

Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study

Campos, Adrian I., Byrne, Enda M., Mitchell, Brittany L., Wray, Naomi R., Lind, Penelope A., Licinio, Julio, Medland, Sarah E., Martin, Nicholas G., Hickie, Ian B. and Rentería, Miguel E. (2022). Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study. The Pharmacogenomics Journal, 22 (2), 130-135. doi: 10.1038/s41397-022-00267-7

Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study

2022

Journal Article

Is genetic risk for sleep apnea causally linked With glaucoma susceptibility?

Ingold, Nathan, Campos, Adrian I., Han, Xikun, Ong, Jue-Sheng, Gharahkhani, Puya, Mackey, David A., Rentería, Miguel E., Law, Matthew H. and MacGregor, Stuart (2022). Is genetic risk for sleep apnea causally linked With glaucoma susceptibility?. Investigative ophthalmology & visual science, 63 (1) 25, 25. doi: 10.1167/iovs.63.1.25

Is genetic risk for sleep apnea causally linked With glaucoma susceptibility?

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

Availability

Associate Professor Miguel Rentería is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

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

    Principal Advisor

  • Doctor Philosophy

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

    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

  • 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

  • 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

Completed supervision

Enquiries

Contact Associate Professor Miguel Rentería directly for media enquiries about:

  • Human genetics
  • Parkinson's disease

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