Professor Peter Visscher
Professor

Peter Visscher

Email: 
Phone: 
+61 7 344 37045

Background

Visscher joined the University of Queensland in 2011, where he is Professor of Quantitative Genetics. He is a Laureate Fellow of the Australian Research Council. Visscher was elected a Fellow of the Australian Academy of Science in 2010, a Fellow of the Royal Society (London) in 2018 and a Foreign Member of the Royal Netherlands Academy of Arts and Sciences in 2018.

Visscher’s research is about genetic variation for complex traits (including quantitative traits and disease) in populations, with the broad aim to understand and quantify the causes and consequences of human trait variation.

Prof Peter Visscher, Prof Naomi Wray and Prof Jian Yang together comprise the Executive Team of the Program in Complex Trait Genomics (PCTG). PCTG comprises a critical mass of more than 30 post-doctoral researchers plus research assistants and students, all supported by external grant funding. Their skills lie in the ability to develop and apply statistical methods within the framework of quantitative, population and statistical genetics and to use theory to understand and predict results from data analyses. They play leading roles in the international research consortia. The focus of current research activities is in the detection and fine-mapping of loci underlying complex traits (including common disease), based upon theoretical studies and applications of methods to large datasets, in population genetics studies using theoretical approaches and high-density genetic marker data, and in systems genomics studies.

Availability

Professor Peter Visscher is:
Available for supervision

Fields of research

Clinical sciences Genetics

Qualifications

  • Masters (Coursework) of Science, University of Edinburgh
  • Doctor of Philosophy, University of Edinburgh

Research impacts

Visscher's research focuses on understanding individual differences betweeen people in traits that are important for health outcomes and ageing. A better understanding of the genes that underlie variation in risk to diseases may lead to better treatments.

Search Professor Peter Visscher’s works on UQ eSpace

651 works between 1990 and 2024
All (651) Journal Article (612) Book Chapter (3) Conference Publication (36)

1 - 20 of 651 works

2024

Journal Article

Distinct genetic liability profiles define clinically relevant patient strata across common diseases

Trastulla, Lucia, Dolgalev, Georgii, Moser, Sylvain, Jiménez-Barrón, Laura T., Andlauer, Till F. M., von Scheidt, Moritz, Ruderfer, Douglas M., Ripke, Stephan, McQuillin, Andrew, Stahl, Eli A., Domenici, Enrico, Adolfsson, Rolf, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A., Bene, Judit, Bergen, Sarah E., Bevilacqua, Elizabeth, Bigdeli, Tim B., Black, Donald W., Blackwood, Douglas H. R., Borglum, Anders D., Bramon, Elvira, Bruggeman, Richard ... Ziller, Michael J. (2024). Distinct genetic liability profiles define clinically relevant patient strata across common diseases. Nature Communications , 15 (1) 5534. doi: 10.1038/s41467-024-49338-2

Distinct genetic liability profiles define clinically relevant patient strata across common diseases

2024

Journal Article

Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank

Kemper, Kathryn E., Sidorenko, Julia, Wang, Huanwei, Hayes, Ben J., Wray, Naomi R., Yengo, Loic, Keller, Matthew C., Goddard, Michael and Visscher, Peter M. (2024). Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank. Nature Communications, 15 (1) 3776, 3776. doi: 10.1038/s41467-024-47802-7

Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank

2024

Journal Article

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Keaton, Jacob M., Kamali, Zoha, Xie, Tian, Vaez, Ahmad, Williams, Ariel, Goleva, Slavina B., Ani, Alireza, Evangelou, Evangelos, Hellwege, Jacklyn N., Yengo, Loic, Young, William J., Traylor, Matthew, Giri, Ayush, Zheng, Zhili, Zeng, Jian, Chasman, Daniel I., Morris, Andrew P., Caulfield, Mark J., Hwang, Shih-Jen, Kooner, Jaspal S., Conen, David, Attia, John R., Morrison, Alanna C., Loos, Ruth J. F., Kristiansson, Kati, Schmidt, Reinhold, Hicks, Andrew A., Pramstaller, Peter P., Nelson, Christopher P. ... ICBP Consortium (2024). Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits. Nature Genetics, 56 (5), 1-14. doi: 10.1038/s41588-024-01714-w

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

2024

Journal Article

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

Zheng, Zhili, Liu, Shouye, Sidorenko, Julia, Wang, Ying, Lin, Tian, Yengo, Loic, Turley, Patrick, Ani, Alireza, Wang, Rujia, Nolte, Ilja M., Snieder, Harold, Aguirre-Gamboa, Raul, Deelen, Patrick, Franke, Lude, Kuivenhoven, Jan A., Lopera Maya, Esteban A., Sanna, Serena, Swertz, Morris A., Vonk, Judith M., Wijmenga, Cisca, Yang, Jian, Wray, Naomi R., Goddard, Michael E., Visscher, Peter M., Zeng, Jian and LifeLines Cohort Study (2024). Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. Nature Genetics, 56 (5), 1-11. doi: 10.1038/s41588-024-01704-y

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

2024

Journal Article

Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content

Li, Yanni, Van Den Berg, Eline H., Kurilshikov, Alexander, Zhernakova, Dasha V., Gacesa, Ranko, Hu, Shixian, Lopera-Maya, Esteban A., Zhernakova, Alexandra, Aguirre-Gamboa, Raul, Deelen, Patrick, Franke, Lude, Kuivenhoven, Jan A., Lopera-Maya, Esteban A., Nolte, Ilja M., Sanna, Serena, Snieder, Harold, Swertz, Morris A., Visscher, Peter M., Vonk, Judith M., Wijmenga, Cisca, De Meijer, Vincent E., Sanna, Serena, Dullaart, Robin P. F., Blokzijl, Hans, Festen, Eleonora A. M., Fu, Jingyuan and Weersma, Rinse K. (2024). Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content. Genomics, Proteomics and Bioinformatics, 22 (2) qzae031. doi: 10.1093/gpbjnl/qzae031

Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content

2024

Journal Article

Genetic control of DNA methylation is largely shared across European and East Asian populations

Hatton, Alesha A., Cheng, Fei-Fei, Lin, Tian, Shen, Ren-Juan, Chen, Jie, Zheng, Zhili, Qu, Jia, Lyu, Fan, Harris, Sarah E., Cox, Simon R., Jin, Zi-Bing, Martin, Nicholas G., Fan, Dongsheng, Montgomery, Grant W., Yang, Jian, Wray, Naomi R., Marioni, Riccardo E., Visscher, Peter M. and McRae, Allan F. (2024). Genetic control of DNA methylation is largely shared across European and East Asian populations. Nature Communications, 15 (1) 2713, 1-12. doi: 10.1038/s41467-024-47005-0

Genetic control of DNA methylation is largely shared across European and East Asian populations

2024

Journal Article

Unravelling the complex causal effects of substance use behaviours on common diseases

Xue, Angli, Zhu, Zhihong, Wang, Huanwei, Jiang, Longda, Visscher, Peter M., Zeng, Jian and Yang, Jian (2024). Unravelling the complex causal effects of substance use behaviours on common diseases. Communications Medicine, 4 (1) ARTN 43, 43. doi: 10.1038/s43856-024-00473-3

Unravelling the complex causal effects of substance use behaviours on common diseases

2024

Journal Article

Host genetic regulation of human gut microbial structural variation

Zhernakova, Daria V., Wang, Daoming, Liu, Lei, Andreu-Sánchez, Sergio, Zhang, Yue, Ruiz-Moreno, Angel J., Peng, Haoran, Plomp, Niels, Del Castillo-Izquierdo, Ángela, Gacesa, Ranko, Lopera-Maya, Esteban A., Temba, Godfrey S., Kullaya, Vesla I., van Leeuwen, Sander S., Aguirre-Gamboa, Raul, Deelen, Patrick, Franke, Lude, Kuivenhoven, Jan A., Nolte, Ilja M., Sanna, Serena, Snieder, Harold, Swertz, Morris A., Visscher, Peter M., Vonk, Judith M., Xavier, Ramnik J., de Mast, Quirijn, Joosten, Leo A. B., Riksen, Niels P., Rutten, Joost H. W. ... Fu, Jingyuan (2024). Host genetic regulation of human gut microbial structural variation. Nature, 625 (7996), 813-821. doi: 10.1038/s41586-023-06893-w

Host genetic regulation of human gut microbial structural variation

2024

Journal Article

Erratum: Autism-related dietary preferences mediate autism-gut microbiome associations (Cell (2021) 184(24) (5916–5931.e17), (S0092867421012319), (10.1016/j.cell.2021.10.015))

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 (2024). Erratum: Autism-related dietary preferences mediate autism-gut microbiome associations (Cell (2021) 184(24) (5916–5931.e17), (S0092867421012319), (10.1016/j.cell.2021.10.015)). Cell, 187 (2), 495-510. doi: 10.1016/j.cell.2023.12.001

Erratum: Autism-related dietary preferences mediate autism-gut microbiome associations (Cell (2021) 184(24) (5916–5931.e17), (S0092867421012319), (10.1016/j.cell.2021.10.015))

2023

Journal Article

OTTERS: a powerful TWAS framework leveraging summary-level reference data

Dai, Qile, Zhou, Geyu, Zhao, Hongyu, Võsa, Urmo, Franke, Lude, Battle, Alexis, Teumer, Alexander, Lehtimäki, Terho, Raitakari, Olli T., Esko, Tõnu, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand Kumar, Arindrarto, Wibowo, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark W., Claringbould, Annique, Deelen, Patrick, Favé, Marie-Julie, Frayling, Timothy, Gharib, Sina A., Gibson, Greg, Heijmans, Bastiaan T., Hemani, Gibran ... Yang, Jingjing (2023). OTTERS: a powerful TWAS framework leveraging summary-level reference data. Nature Communications, 14 (1) 1271, 1-13. doi: 10.1038/s41467-023-36862-w

OTTERS: a powerful TWAS framework leveraging summary-level reference data

2023

Journal Article

Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D

Wang, Xiaotong, Hivert, Valentin, Groot, Shiane, Wang, Ying, Yengo, Loic, McGrath, John J., Kemper, Kathryn E., Visscher, Peter M., Wray, Naomi R. and Revez, Joana A. (2023). Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D. PLoS Genetics, 19 (11) e1011033, e1011033. doi: 10.1371/journal.pgen.1011033

Cross-ancestry analyses identify new genetic loci associated with 25-hydroxyvitamin D

2023

Conference Publication

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

Zeng, Jian, Zheng, Zhili, Liu, Shouye, Sidorenko, Julia, Yengo, Loic, Turley, Patrick, Ani, Alireza, Wang, Rujia, Nolte, Ilja, Snieder, Harold, Yang, Jian, Wray, Naomi, Goddard, Michael and Visscher, Peter (2023). Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. World Congress of Psychiatric Genetics (WCPG), Montreal, ON, Canada, 10 - 14 October 2023. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.euroneuro.2023.08.063

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

2023

Journal Article

Community-wide genome sequencing reveals 30 years of Darwin’s finch evolution

Enbody, Erik D., Sendell-Price, Ashley T., Sprehn, C. Grace, Rubin, Carl-Johan, Visscher, Peter M., Grant, B. Rosemary, Grant, Peter R. and Andersson, Leif (2023). Community-wide genome sequencing reveals 30 years of Darwin’s finch evolution. Science, 381 (6665) eadf6218, 1-10. doi: 10.1126/science.adf6218

Community-wide genome sequencing reveals 30 years of Darwin’s finch evolution

2023

Journal Article

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores

Campos, Adrian I., Namba, Shinichi, Lin, Shu-Chin, Nam, Kisung, Sidorenko, Julia, Wang, Huanwei, Kamatani, Yoichiro, The Biobank Japan Project, Wang, Ling-Hua, Lee, Seunggeun, Lin, Yen-Feng, Feng, Yen-Chen Anne, Okada, Yukinori, Visscher, Peter M. and Yengo, Loic (2023). Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores. Nature Genetics, 55 (10), 1769-1776. doi: 10.1038/s41588-023-01500-0

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores

2023

Journal Article

Chromosomal inversion polymorphisms shape human brain morphology

Wang, Hao, Makowski, Carolina, Zhang, Yanxiao, Qi, Anna, Kaufmann, Tobias, Smeland, Olav B., Fiecas, Mark, Yang, Jian, Visscher, Peter M. and Chen, Chi-Hua (2023). Chromosomal inversion polymorphisms shape human brain morphology. Cell Reports, 42 (8) 112896, 112896. doi: 10.1016/j.celrep.2023.112896

Chromosomal inversion polymorphisms shape human brain morphology

2023

Journal Article

Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

Wu, Yang, Qi, Ting, Wray, Naomi R., Visscher, Peter M., Zeng, Jian and Yang, Jian (2023). Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes. Cell Genomics, 3 (8) 100344, 100344. doi: 10.1016/j.xgen.2023.100344

Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

2023

Journal Article

Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

Maury, Eduardo A., Sherman, Maxwell A., Genovese, Giulio, Gilgenast, Thomas G., Kamath, Tushar, Burris, S. J., Rajarajan, Prashanth, Flaherty, Erin, Akbarian, Schahram, Chess, Andrew, McCarroll, Steven A., Loh, Po-Ru, Phillips-Cremins, Jennifer E., Brennand, Kristen J., Macosko, Evan Z., Walters, James T.R., O'Donovan, Michael, Sullivan, Patrick, Marshall, Christian R., Merico, Daniele, Thiruvahindrapuram, Bhooma, Wang, Zhouzhi, Scherer, Stephen W., Howrigan, Daniel P, Ripke, Stephan, Bulik-Sullivan, Brendan, Farh, Kai-How, Fromer, Menachem, Goldstein, Jacqueline I. ... Walsh, Christopher A. (2023). Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions. Cell Genomics, 3 (8) 100356, 1-21. doi: 10.1016/j.xgen.2023.100356

Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

2023

Journal Article

Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability

Wang, Xiaotong, Walker, Alicia, Revez, Joana A., Ni, Guiyan, Visscher, Peter M., Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía ... Sullivan, Patrick F. (2023). Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability. The American Journal of Human Genetics, 110 (7), 1207-1215. doi: 10.1016/j.ajhg.2023.06.006

Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability

2023

Journal Article

Rare genetic variants underlie outlying levels of DNA methylation and gene-expression

Chundru, V. Kartik, Marioni, Riccardo E., Pendergast, James G. D., Lin, Tian, Beveridge, Allan J., Martin, Nicholas G, Montgomery, Grant W., Hume, David A., Deary, Ian J., Visscher, Peter M., Wray, Naomi R. and McRae, Allan F. (2023). Rare genetic variants underlie outlying levels of DNA methylation and gene-expression. Human Molecular Genetics, 32 (11), 1912-1921. doi: 10.1093/hmg/ddad028

Rare genetic variants underlie outlying levels of DNA methylation and gene-expression

2023

Journal Article

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Hsu, Yu-Han H., Pintacuda, Greta, Liu, Ruize, Nacu, Eugeniu, Kim, April, Tsafou, Kalliopi, Petrossian, Natalie, Crotty, William, Suh, Jung Min, Riseman, Jackson, Martin, Jacqueline M., Biagini, Julia C., Mena, Daya, Ching, Joshua K.T., Malolepsza, Edyta, Li, Taibo, Singh, Tarjinder, Ge, Tian, Egri, Shawn B., Tanenbaum, Benjamin, Stanclift, Caroline R., Apffel, Annie M., Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T.R., Farh, Kai-How, Holmans, Peter A., Lee, Phil ... Lage, Kasper (2023). Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia. iScience, 26 (5) 106701, 1-28. doi: 10.1016/j.isci.2023.106701

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Current funding

  • 2022 - 2025
    Genetic architecture and evolution of complex traits across populations
    ARC Discovery Projects
    Open grant
  • 2019 - 2024
    Causes and consequence of human trait variation
    ARC Australian Laureate Fellowships
    Open grant

Past funding

  • 2018 - 2024
    Estimating the genetic and environmental architecture of psychiatric disorders (NIH Grant administered by the University of Colorado)
    University of Colorado
    Open grant
  • 2017 - 2023
    Complex trait genomics
    NHMRC Program Grant
    Open grant
  • 2016 - 2019
    Genetic analysis of the relationship between parental age and risk of psychiatric disorders
    NHMRC Project Grant
    Open grant
  • 2016 - 2019
    Phenotypic profiling from DNA using genetic and epigenetic information
    ARC Discovery Projects
    Open grant
  • 2016 - 2018
    The genetics of ageing in human populations
    ARC Discovery Projects
    Open grant
  • 2015 - 2019
    Sporadic ALS Australian Systems Genomics Consortium (SALSA-SGC)
    Motor Neurone Disease Research Institute of Australia Inc
    Open grant
  • 2015 - 2020
    Analysis of Genome-Wide Data in the Health and Retirement Study (NIH grant administered by the University of Southern California)
    University of Southern California
    Open grant
  • 2015 - 2019
    1/2 A Large-Scale Schizophrenia Association Study in Sweden (NIH grant administered by the University of North Carolina at Chapel Hill)
    University of North Carolina
    Open grant
  • 2015 - 2017
    Increasing the power of GxE detection by using multi-locus genome-wide predictors (NIH grant administered by Harvard Medical School)
    Harvard Medical School
    Open grant
  • 2015 - 2019
    NHMRC Research Fellowship: Neurogenetics and Statistical Genomics
    NHMRC Research Fellowship
    Open grant
  • 2014
    Deciphering the genetic code of diseases
    National Computational Merit Allocation Scheme
    Open grant
  • 2014
    Trans-ethnic and trans-omic statistical analyses to identify new ALS risk variants
    Motor Neurone Disease Research Institute of Australia Inc
    Open grant
  • 2013 - 2018
    Estimating the Frequencies and Population Specificities of Risk Alleles (NIH grant administered by the University of Colorado)
    University of Colorado
    Open grant
  • 2013 - 2016
    CAGE: Consortium for the Architecture of Gene Expression
    NHMRC Project Grant
    Open grant
  • 2013 - 2015
    Estimation and partitioning of the still-missing heritability for complex disease
    NHMRC Project Grant
    Open grant
  • 2013 - 2016
    Estimation of non-additive genetic variance for complex traits using genome-wide SNP and sequence data
    ARC Discovery Projects
    Open grant
  • 2013 - 2016
    Exploiting SNP data in epidemiology and genetics through multivariate analysis of complex traits
    NHMRC Project Grant
    Open grant
  • 2013 - 2015
    The genetic architecture and evolution of quantitative traits (ARC Discovery Project administered by the University of Melbourne)
    University of Melbourne
    Open grant
  • 2012 - 2018
    Statistical and Quantitative Genetics (NIH Grant administered by the University of Washington)
    University of Washington (Seattle)
    Open grant
  • 2012 - 2017
    Statistical genetic analyses of social and economic outcomes
    Stockholm School of Economics
    Open grant
  • 2012 - 2017
    Belgian Medical Genomics Initiative (BeMGI)
    University of Liege
    Open grant
  • 2012
    Explaining the Dark Matter of Genome-wide Association Studies for Complex Disease
    NHMRC Project Grant
    Open grant
  • 2011 - 2014
    Better Methods for Individual Risk Prediction of Complex Traits in Human Populations
    NHMRC Project Grant
    Open grant
  • 2011 - 2014
    NHMRC Research Fellowship (SPRF)
    NHMRC Research Fellowship
    Open grant
  • 2011 - 2017
    Theoretical Population Genetics (NIH Subcontract administered by the University of Washington)
    University of Washington (Seattle)
    Open grant
  • 2010 - 2013
    Identifying eQTLs and endophenotyping known CNVs in a large Australian schizophrenia sample
    NHMRC Project Grant
    Open grant
  • 2010 - 2012
    Why is most of the genetic variance for complex traits undetected by large powerful screens of common variants? (ARC Discovery Project administered by The University of Melbourne)
    University of Melbourne
    Open grant
  • 2007 - 2009
    Maximising knowledge from dense SNP data using multi-locus analysis
    ARC Discovery Projects
    Open grant

Availability

Professor Peter Visscher is:
Available for supervision

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

Available projects

  • Complex trait genetics

    We have several PhD projects are available in our research group. The projects are about quantitative genetic methods and application to large datasets to answer fundamental questions about the genetic basis of quantitative traits and disease in human populations. There are many traits that we study, including gene expression, gene methylation, height and body-mass-index, psychiatric disease and neurogenetic conditions.

    Specific Project: Maximising genomic predictions in biobank-style data

    Contact: Kathryn Kemper, k.kemper@imb.uq.edu.au

    Complex traits in humans, such as height and body mass index, are influenced by environmental and genetic factors. Genetic factors affecting a trait can be further subdivided into genetic factors shared between or within families, and population-level genetic information. To date, genomic analyses have primarily focused on population-level genetic information. The aim of this project is to utilise and combine all possible sources of information to increase the accuracy of genomic predictions for complex traits in biobank-style data. The applicant will work on large datasets such as the UK Biobank which, in the near future, will have whole genome sequence information on approximately 500K individuals and extensive phenotypes.

Supervision history

Current supervision

Completed supervision

Enquiries

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