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Honorary Professor Jake Gratten
Honorary Professor

Jake Gratten

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Overview

Background

Dr Gratten completed his undergraduate studies and PhD at The University of Queensland, before undertaking postdoctoral training in evolutionary and quantitative genetics at the University of Sheffield. He then returned to Australia and shifted research focus to psychiatric and neurological genetics, taking up a position as research fellow at the Queensland Brain Institute. In 2013, he was recruited to UQ's Centre for Neurogenetics and Statistical Genomics, and in 2017 was awarded an NHMRC Career Development Fellowship (Level 2). He established the Cognitive Health Genomics group at Mater Research Institute in 2018, with the goal to improve understanding of the etiology of psychiatric and neurological disorders through analysis and integration of whole genome datasets. He has received >$5M in research funding from the NHMRC, Autism Cooperative Research Centre and both Australian (BICARE) and international (Brain & Behavior Research Foundation) philanthropic funders.

Availability

Honorary Professor Jake Gratten is:
Available for supervision

Qualifications

  • Bachelor of Science, The University of Queensland
  • Bachelor (Honours) of Science, The University of Queensland
  • Doctor of Philosophy, The University of Queensland

Works

Search Professor Jake Gratten’s works on UQ eSpace

203 works between 2001 and 2024

21 - 40 of 203 works

2023

Journal Article

The shared genetic landscape of blood cell traits and risk of neurological and psychiatric disorders

Yang, Yuanhao, Zhou, Yuan, Nyholt, Dale R., Yap, Chloe X., Tannenberg, Rudolph K., Wang, Ying, Wu, Yang, Zhu, Zhihong, Taylor, Bruce V. and Gratten, Jacob (2023). The shared genetic landscape of blood cell traits and risk of neurological and psychiatric disorders. Cell Genomics, 3 (2) 100249, 100249. doi: 10.1016/j.xgen.2022.100249

The shared genetic landscape of blood cell traits and risk of neurological and psychiatric disorders

2022

Conference Publication

The shared genetic landscape of blood cell traits and risk of psychiatric and neurological disorders

Yang, Yuanhao, Zhou, Yuan, Nyholt, Dale, Zhu, Zhihong, Yap, Chloe, Tannenberg, Rudolph, Wu, Yang, Wang, Ying, Taylor, Bruce, Wray, Naomi and Gratten, Jacob (2022). The shared genetic landscape of blood cell traits and risk of psychiatric and neurological disorders. World Congress of Psychiatric Genetics (WCPG), Florence, Italy, 13-17 September 2022. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.euroneuro.2022.07.139

The shared genetic landscape of blood cell traits and risk of psychiatric and neurological disorders

2022

Journal Article

Evaluation of the QRS score for diagnosing coronary artery disease in women: A Finnish cardiovascular study

Beyene, Serkalem D., Nikus, Kjell C., Lehtimaki, Terho J., Kahonen, Mika A. P. and Viik, Jari J. (2022). Evaluation of the QRS score for diagnosing coronary artery disease in women: A Finnish cardiovascular study. Annals of Noninvasive Electrocardiology, 27 (4) e12968. doi: 10.1111/anec.12968

Evaluation of the QRS score for diagnosing coronary artery disease in women: A Finnish cardiovascular study

2022

Journal Article

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Trubetskoy, Vassily, Pardiñas, Antonio F, Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B, Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A, Hall, Lynsey S, Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C, Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L, Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G ... Schizophrenia Working Group of the Psychiatric Genomics Consortium (2022). Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 604 (7906), 502-508. doi: 10.1038/s41586-022-04434-5

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

2022

Journal Article

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Okbay, Aysu, Wu, Yeda, Wang, Nancy, Jayashankar, Hariharan, Bennett, Michael, Nehzati, Seyed Moeen, Sidorenko, Julia, Kweon, Hyeokmoon, Goldman, Grant, Gjorgjieva, Tamara, Jiang, Yunxuan, Hicks, Barry, Tian, Chao, Hinds, David A., Ahlskog, Rafael, Magnusson, Patrik K E, Oskarsson, Sven, Hayward, Caroline, Campbell, Archie, Porteous, David J., Freese, Jeremy, Herd, Pamela, Watson, Chelsea, Jala, Jonathan, Conley, Dalton, Koellinger, Philipp D., Johannesson, Magnus, Laibson, David, Meyer, Michelle N. ... Social Science Genetic Association Consortium (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54 (4), 437-449. doi: 10.1038/s41588-022-01016-z

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

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)

2021

Journal Article

Investigating the shared genetic architecture between multiple sclerosis and inflammatory bowel diseases

Yang, Yuanhao, Musco, Hannah, Simpson-Yap, Steve, Zhu, Zhihong, Wang, Ying, Lin, Xin, Zhang, Jiawei, Taylor, Bruce, Gratten, Jacob and Zhou, Yuan (2021). Investigating the shared genetic architecture between multiple sclerosis and inflammatory bowel diseases. Nature Communications, 12 (1) 5641, 5641. doi: 10.1038/s41467-021-25768-0

Investigating the shared genetic architecture between multiple sclerosis and inflammatory bowel diseases

2021

Journal Article

Autism-related dietary preferences mediate autism-gut microbiome associations

Yap, Chloe X., Henders, Anjali K., Alvares, Gail A., Wood, David L.A., Krause, Lutz, Tyson, Gene W., Restuadi, Restuadi, Wallace, Leanne, McLaren, Tiana, Hansell, Narelle K., Cleary, Dominique, Grove, Rachel, Hafekost, Claire, Harun, Alexis, Holdsworth, Helen, Jellett, Rachel, Khan, Feroza, Lawson, Lauren P., Leslie, Jodie, Frenk, Mira Levis, Masi, Anne, Mathew, Nisha E., Muniandy, Melanie, Nothard, Michaela, Miller, Jessica L., Nunn, Lorelle, Holtmann, Gerald, Strike, Lachlan T., de Zubicaray, Greig I. ... Gratten, Jacob (2021). Autism-related dietary preferences mediate autism-gut microbiome associations. Cell, 184 (24), 5916-5931.e17. doi: 10.1016/j.cell.2021.10.015

Autism-related dietary preferences mediate autism-gut microbiome associations

2021

Journal Article

Rewards of compassion: Dispositional compassion predicts lower job strain and effort-reward imbalance over a 11-year follow-up

Tolonen, Iina, Saarinen, Aino, Keltikangas-Jaervinen, Liisa, Siira, Virva, Kahonen, Mika and Hintsanen, Mirka (2021). Rewards of compassion: Dispositional compassion predicts lower job strain and effort-reward imbalance over a 11-year follow-up. Frontiers in Psychology, 12 730188, 1-12. doi: 10.3389/fpsyg.2021.730188

Rewards of compassion: Dispositional compassion predicts lower job strain and effort-reward imbalance over a 11-year follow-up

2021

Journal Article

Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders

Nabais, Marta F., Laws, Simon M., Lin, Tian, Vallerga, Costanza L., Armstrong, Nicola J., Blair, Ian P., Kwok, John B., Mather, Karen A., Mellick, George D., Sachdev, Perminder S., Wallace, Leanne, Henders, Anjali K., Zwamborn, Ramona A. J., Hop, Paul J., Lunnon, Katie, Pishva, Ehsan, Roubroeks, Janou A. Y., Soininen, Hilkka, Tsolaki, Magda, Mecocci, Patrizia, Lovestone, Simon, Kloszewska, Iwona, Vellas, Bruno, Furlong, Sarah, Garton, Fleur C., Henderson, Robert D., Mathers, Susan, McCombe, Pamela A., Needham, Merrilee ... McRae, Allan F. (2021). Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders. Genome Biology, 22 (1) 90, 1-30. doi: 10.1186/s13059-021-02275-5

Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders

2021

Journal Article

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

Yap, Chloe X., Alvares, Gail A., Henders, Anjali K., Lin, Tian, Wallace, Leanne, Farrelly, Alaina, McLaren, Tiana, Berry, Jolene, Vinkhuyzen, Anna A. E., Trzaskowski, Maciej, Zeng, Jian, Yang, Yuanhao, Cleary, Dominique, Grove, Rachel, Hafekost, Claire, Harun, Alexis, Holdsworth, Helen, Jellett, Rachel, Khan, Feroza, Lawson, Lauren, Leslie, Jodie, Levis Frenk, Mira, Masi, Anne, Mathew, Nisha E., Muniandy, Melanie, Nothard, Michaela, Visscher, Peter M., Dawson, Paul A., Dissanayake, Cheryl ... Gratten, Jacob (2021). Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank. Molecular Autism, 12 (1) 12, 12. doi: 10.1186/s13229-020-00407-5

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

2020

Journal Article

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning

Orlenko, Alena, Kofink, Daniel, Lyytikainen, Leo-Pekka, Nikus, Kjell, Mishra, Pashupati, Kuukasjarvi, Pekka, Karhunen, Pekka J., Kahonen, Mika, Laurikka, Jari O., Lehtimaki, Terho, Asselbergs, Folkert W. and Moore, Jason H. (2020). Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Bioinformatics, 36 (6), 1772-1778. doi: 10.1093/bioinformatics/btz796

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning

2020

Journal Article

Analysis of DNA methylation associates the cystine–glutamate antiporter SLC7A11 with risk of Parkinson’s disease

Vallerga, Costanza L., Zhang, Futao, Fowdar, Javed, McRae, Allan F., Qi, Ting, Nabais, Marta F., Zhang, Qian, Kassam, Irfahan, Henders, Anjali K., Wallace, Leanne, Montgomery, Grant, Chuang, Yu-Hsuan, Horvath, Steve, Ritz, Beate, Halliday, Glenda, Hickie, Ian, Kwok, John B., Pearson, John, Pitcher, Toni, Kennedy, Martin, Bentley, Steven R., Silburn, Peter A., Yang, Jian, Wray, Naomi R., Lewis, Simon J. G., Anderson, Tim, Dalrymple-Alford, John, Mellick, George D., Visscher, Peter M. and Gratten, Jacob (2020). Analysis of DNA methylation associates the cystine–glutamate antiporter SLC7A11 with risk of Parkinson’s disease. Nature Communications, 11 (1) 1238, 1238. doi: 10.1038/s41467-020-15065-7

Analysis of DNA methylation associates the cystine–glutamate antiporter SLC7A11 with risk of Parkinson’s disease

2020

Journal Article

Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis

Nabais, Marta F., Lin, Tian, Benyamin, Beben, Williams, Kelly L., Garton, Fleur C., Vinkhuyzen, Anna A. E., Zhang, Futao, Vallerga, Costanza L., Restuadi, Restuadi, Freydenzon, Anna, Zwamborn, Ramona A. J., Hop, Paul J., Robinson, Matthew R., Gratten, Jacob, Visscher, Peter M., Hannon, Eilis, Mill, Jonathan, Brown, Matthew A., Laing, Nigel G., Mather, Karen A., Sachdev, Perminder S., Ngo, Shyuan T., Steyn, Frederik J., Wallace, Leanne, Henders, Anjali K., Needham, Merrilee, Veldink, Jan H., Mathers, Susan, Nicholson, Garth ... Wray, Naomi R. (2020). Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis. npj Genomic Medicine, 5 (1) 10, 1-9. doi: 10.1038/s41525-020-0118-3

Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis

2020

Journal Article

18-FDG-PET in a patient cohort suspected for cardiac sarcoidosis: right ventricular uptake is associated with pathological uptake in mediastinal lymph nodes

Tuominen, Heikki, Haarala, Atte, Tikkakoski, Antti, Kahonen, Mika, Nikus, Kjell and Sipila, Kalle (2020). 18-FDG-PET in a patient cohort suspected for cardiac sarcoidosis: right ventricular uptake is associated with pathological uptake in mediastinal lymph nodes. Journal of Nuclear Cardiology, 27 (1), 109-117. doi: 10.1007/s12350-018-1291-y

18-FDG-PET in a patient cohort suspected for cardiac sarcoidosis: right ventricular uptake is associated with pathological uptake in mediastinal lymph nodes

2019

Journal Article

Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts

Ahola-Olli, Ari V., Mustelin, Linda, Kalimeri, Maria, Kettunen, Johannes, Jokelainen, Jari, Auvinen, Juha, Puukka, Katri, Havulinna, Aki S., Lehtimaki, Terho, Kahonen, Mika, Juonala, Markus, Keinanen-Kiukaanniemi, Sirkka, Salomaa, Veikko, Perola, Markus, Jarvelin, Marjo-Riitta, Ala-Korpela, Mika, Raitakari, Olli and Wurtz, Peter (2019). Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts. Diabetologia, 62 (12), 2298-2309. doi: 10.1007/s00125-019-05001-w

Circulating metabolites and the risk of type 2 diabetes: a prospective study of 11,896 young adults from four Finnish cohorts

2019

Journal Article

Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

Nalls, Mike A, Blauwendraat, Cornelis, Vallerga, Costanza L, Heilbron, Karl, Bandres-Ciga, Sara, Chang, Diana, Tan, Manuela, Kia, Demis A, Noyce, Alastair J, Xue, Angli, Bras, Jose, Young, Emily, von Coelln, Rainer, Simón-Sánchez, Javier, Schulte, Claudia, Sharma, Manu, Krohn, Lynne, Pihlstrøm, Lasse, Siitonen, Ari, Iwaki, Hirotaka, Leonard, Hampton, Faghri, Faraz, Gibbs, J Raphael, Hernandez, Dena G, Scholz, Sonja W, Botia, Juan A, Martinez, Maria, Corvol, Jean-Christophe, Lesage, Suzanne ... Zhang, Futao (2019). Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies. The Lancet Neurology, 18 (12), 1091-1102. doi: 10.1016/S1474-4422(19)30320-5

Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

2019

Journal Article

Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing

Zhang, Qian, Vallerga, Costanza L., Walker, Rosie M., Lin, Tian, Henders, Anjali K., Montgomery, Grant W., He, Ji, Fan, Dongsheng, Fowdar, Javed, Kennedy, Martin, Pitcher, Toni, Pearson, John, Halliday, Glenda, Kwok, John B., Hickie, Ian, Lewis, Simon, Anderson, Tim, Silburn, Peter A., Mellick, George D., Harris, Sarah E., Redmond, Paul, Murray, Alison D., Porteous, David J., Haley, Christopher S., Evans, Kathryn L., McIntosh, Andrew M., Yang, Jian, Gratten, Jacob, Marioni, Riccardo E. ... Visscher, Peter M. (2019). Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine, 11 (1) 54, 54. doi: 10.1186/s13073-019-0667-1

Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing

2019

Journal Article

The genetic relationship between female reproductive traits and six psychiatric disorders

Ni, Guiyan, Amare, Azmeraw T., Zhou, Xuan, Mills, Natalie, Gratten, Jacob and Lee, S. Hong (2019). The genetic relationship between female reproductive traits and six psychiatric disorders. Scientific Reports, 9 (1) 12041, 12041. doi: 10.1038/s41598-019-48403-x

The genetic relationship between female reproductive traits and six psychiatric disorders

2019

Journal Article

Association of schizophrenia risk with disordered niacin metabolism in an Indian genome-wide association study

Periyasamy, Sathish, John, Sujit, Padmavati, Raman, Rajendren, Preeti, Thirunavukkarasu, Priyadarshini, Gratten, Jacob, Vinkhuyzen, Anna, McRae, Allan, Holliday, Elizabeth G., Nyholt, Dale R., Nancarrow, Derek, Bakshi, Andrew, Hemani, Gibran, Nertney, Deborah, Smith, Heather, Filippich, Cheryl, Patel, Kalpana, Fowdar, Javed, McLean, Duncan, Tirupati, Srinivasan, Nagasundaram, Arunkumar, Gundugurti, Prasad Rao, Selvaraj, Krishnamurthy, Jegadeesan, Jayaprakash, Jorde, Lynn B., Wray, Naomi R., Brown, Matthew A., Suetani, Rachel, Giacomotto, Jean ... Mowry, Bryan J. (2019). Association of schizophrenia risk with disordered niacin metabolism in an Indian genome-wide association study. JAMA Psychiatry, 76 (10), 1026-1034. doi: 10.1001/jamapsychiatry.2019.1335

Association of schizophrenia risk with disordered niacin metabolism in an Indian genome-wide association study

Funding

Current funding

  • 2025 - 2029
    Centre of multiple sclerosis research translation (NHMRC CRE led by University of Tasmania)
    University of Tasmania
    Open grant
  • 2023 - 2027
    Unravelling the interplay between EBV genomics and host T cell immune regulation in multiple sclerosis (Ex-led UTas MRFF MS grant)
    University of Tasmania
    Open grant
  • 2023 - 2027
    Towards improved clinical outcomes for common brain disorders using large-scale statistical genomics
    NHMRC Investigator Grants
    Open grant

Past funding

  • 2022 - 2024
    Understanding the pathophysiology of Parkinson's disease using cellular genomics
    NHMRC IDEAS Grants
    Open grant
  • 2020 - 2021
    Vitamin D in autism; preventative mechanisms
    Child Development Grant
    Open grant
  • 2018 - 2020
    Investigating the molecular signature of ASD through integrative genomics (NHMRC Project Grant administered by UNSW)
    University of New South Wales
    Open grant
  • 2017 - 2020
    Understanding the etiology of psychiatric disorders through whole genome analyses
    NHMRC Career Development Fellowship
    Open grant
  • 2016 - 2018
    Genomic Analysis of Sex Differences in Prevalence of Psychiatric Disorders (2015 NARSAD Young Investigator Grant)
    Brain and Behavior Research Foundation
    Open grant
  • 2016 - 2019
    Genetic analysis of the relationship between parental age and risk of psychiatric disorders
    NHMRC Project Grant
    Open grant
  • 2015 - 2021
    Development and validation of systems genomics-based predictors for autism (Stage 1)
    CRC for Living with Autism Spectrum Disorders (Autism CRC Limited)
    Open grant
  • 2015 - 2020
    Multivariate whole genome estimation and prediction analysis of genomics data applied to psychiatric disorders
    NHMRC Project Grant
    Open grant
  • 2014 - 2018
    Genetic analysis of de novo and inherited exome variation in schizophrenia
    NHMRC Project Grant
    Open grant

Supervision

Availability

Honorary Professor Jake Gratten is:
Available for supervision

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Available projects

  • Cellular genomics of Parkinson's disease

    We are seeking a highly motivated PhD candidate with a background and interest in human genomics, statistics and neurodegenerative disease to join the Cognitive Health Genomics group at the Mater Research Institute, UQ. The successful candidate would work on an NHMRC-funded study to identify selectively vulnerable neuronal and/or glial cell types across the spatial and temporal course of Parkinson’s disease using single cell approaches.

    Project description

    Parkinson’s disease (PD) is a complex neurodegenerative condition affecting 1% of Australians aged ≥60-years. There is no cure, and the number of affected individuals is rising steeply as populations age. Understanding the genetic basis of PD is critical to developing new therapeutics to counter the growing disease burden. Large-scale genome-wide association studies (GWAS) of PD have identified nearly 100 risk loci, but interpretation of these findings remains challenging; we do not yet know the identity of most PD risk genes, nor the specific cell types in which they act, nor when they act during the course of disease, which hampers efforts to identify targets for interventions. We will address these challenges by using single nucleus RNA-seq to identify cell types involved in the onset and progression of Lewy body pathology in PD-related brain regions.

    Requirements

    • Bachelor’s degree with first class honours, or Masters, in statistics, mathematics, bioinformatics, human genetics, animal breeding, or an equivalent field.
    • Prior research experience in human genomics or animal breeding, including a familiarity with high-throughput genomic data and working in a high-performance computing environment.
    • Skills in the R statistical computing language and/or python, C++ or an equivalent computing language.
    • High degree of motivation and organisation, and an ability to work both independently and as part of a team.
    • (Co-)authorship on at least one peer-reviewed publication (for International applicants)
    • Excellent written and oral communications skills in English.

    For further information please contact Dr Jake Gratten, jacob.gratten@mater.uq.edu.au, +61-7-34437585.

  • Understanding mechanisms underlying multiple sclerosis using large-scale multi-omics

    We are seeking a highly motivated PhD candidate with a background and interest in human genomics, statistics and neurodegenerative disease to join the Cognitive Health Genomics group at the Mater Research Institute, UQ. The successful candidate would work on an NHMRC-funded study to improve understanding of the pathophysiology of multiple sclerosis by integrating large-scale multi-omics data using cutting-edge statistical methods.

    Requirements

    • Bachelor’s degree with first class honours, or Masters, in statistics, mathematics, bioinformatics, human genetics, animal breeding, or an equivalent field.
    • Prior research experience in human genomics or animal breeding, including a familiarity with high-throughput genomic data and working in a high-performance computing environment.
    • Skills in the R statistical computing language and/or python, C++ or an equivalent computing language.
    • High degree of motivation and organisation, and an ability to work both independently and as part of a team.
    • Excellent written and oral communications skills in English.

    For further information please contact Prof Jake Gratten, jacob.gratten@mater.uq.edu.au.

Supervision history

Current supervision

Completed supervision

Media

Enquiries

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