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:
Not 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

808 works between 1987 and 2025
All (808) Journal Article (742) Conference Publication (63) Book Chapter (3)

121 - 140 of 808 works

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

Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Coleman, Jonathan R. I., Peyrot, Wouter J., Purves, Kirstin L., Davis, Katrina A. S., Rayner, Christopher, Choi, Shing Wan, Hübel, Christopher, Gaspar, Héléna A., Kan, Carol, Van der Auwera, Sandra, Adams, Mark James, Lyall, Donald M., Choi, Karmel W., Dunn, Erin C., Vassos, Evangelos, Danese, Andrea, Maughan, Barbara, Grabe, Hans J., Lewis, Cathryn M., O’Reilly, Paul F., McIntosh, Andrew M., Smith, Daniel J., Wray, Naomi R., Hotopf, Matthew, Eley, Thalia C., Breen, Gerome, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Trzaskowski, Maciej, Byrne, Enda M. ... Middeldorp, Christel M. (2020). Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank. Molecular Psychiatry, 25 (7), 1430-1446. doi: 10.1038/s41380-019-0546-6

Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

2020

Journal Article

Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjörnsson, Garðar, Fatemifar, Ghazaleh, Hedman, Åsa K., Wilk, Jemma B., Morley, Michael P., Chaffin, Mark D., Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G., Ärnlöv, Johan, Backman, Joshua D., Biggs, Mary L., Bloom, Heather L., Brandimarto, Jeffrey, Brown, Michael R., Buckbinder, Leonard, Carey, David J., Chasman, Daniel I., Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William ... Lumbers, R. Thomas (2020). Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nature Communications, 11 (1) 163, 163. doi: 10.1038/s41467-019-13690-5

Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

2020

Conference Publication

Linear mixed models minimise false positive rate and enhance precision of mass univariate vertex-wise analyses of grey-matter

Couvy-Duchesne, Baptiste, Zhang, Futao, Kemper, Kathryn E., Sidorenko, Julia, Wray, Naomi R., Visscher, Peter M., Colliot, Olivier and Yang, Jian (2020). Linear mixed models minimise false positive rate and enhance precision of mass univariate vertex-wise analyses of grey-matter. 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, United States, 3-7 April, 2020 . Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ISBI45749.2020.9098719

Linear mixed models minimise false positive rate and enhance precision of mass univariate vertex-wise analyses of grey-matter

2020

Journal Article

ATXN1 repeat expansions confer risk for amyotrophic lateral sclerosis and contribute to TDP-43 mislocalization

Tazelaar, Gijs H.P., Boeynaems, Steven, De Decker, Mathias, van Vugt, Joke J.F.A., Kool, Lindy, Goedee, H. Stephan, McLaughlin, Russell L., Sproviero, William, Iacoangeli, Alfredo, Moisse, Matthieu, Jacquemyn, Maarten, Daelemans, Dirk, Dekker, Annelot M., van der Spek, Rick A., Westeneng, Henk-Jan, Kenna, Kevin P., Assialioui, Abdelilah, Silva, Nica Da, Povedano, Mónica, Mora Pardina, Jesus S., Hardiman, Orla, Salachas, François, Millecamps, Stéphanie, Vourc’h, Patrick, Corcia, Philippe, Couratier, Philippe, Morrison, Karen E., Shaw, Pamela J., Shaw, Christopher E. ... Project MinE ALS Sequencing Consortium (2020). ATXN1 repeat expansions confer risk for amyotrophic lateral sclerosis and contribute to TDP-43 mislocalization. Brain Communications, 2 (2) fcaa064. doi: 10.1093/braincomms/fcaa064

ATXN1 repeat expansions confer risk for amyotrophic lateral sclerosis and contribute to TDP-43 mislocalization

2019

Journal Article

An epigenome-wide association study of sex-specific chronological ageing

McCartney, Daniel L., Zhang, Futao, Hillary, Robert F., Zhang, Qian, Stevenson, Anna J., Walker, Rosie M., Bermingham, Mairead L., Boutin, Thibaud, Morris, Stewart W., Campbell, Archie, Murray, Alison D., Whalley, Heather C., Porteous, David J., Hayward, Caroline, Evans, Kathryn L., Chandra, Tamir, Deary, Ian J., McIntosh, Andrew M., Yang, Jian, Visscher, Peter M., McRae, Allan F. and Marioni, Riccardo E. (2019). An epigenome-wide association study of sex-specific chronological ageing. Genome Medicine, 12 (1) 1, 1. doi: 10.1186/s13073-019-0693-z

An epigenome-wide association study of sex-specific chronological ageing

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

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Czamara, Darina, Eraslan, Gökçen, Page, Christian M., Lahti, Jari, Lahti-Pulkkinen, Marius, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M., Reynolds, Rebecca M., Nystad, Wenche, Håberg, Siri E., London, Stephanie J., O’Donnell, Kieran J., Garg, Elika, Meaney, Michael J., Entringer, Sonja, Wadhwa, Pathik D., Buss, Claudia, Jones, Meaghan J., Lin, David T. S., MacIsaac, Julie L., Kobor, Michael S., Koen, Nastassja, Zar, Heather J., Koenen, Karestan C., Dalvie, Shareefa, Stein, Dan J., Kondofersky, Ivan ... Binder, Elisabeth B. (2019). Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nature Communications, 10 (1) 2548. doi: 10.1038/s41467-019-10461-0

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

2019

Journal Article

A resource-efficient tool for mixed model association analysis of large-scale data

Jiang, Longda, Zheng, Zhili, Qi, Ting, Kemper, Kathryn E., Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2019). A resource-efficient tool for mixed model association analysis of large-scale data. Nature Genetics, 51 (12), 1749-1755. doi: 10.1038/s41588-019-0530-8

A resource-efficient tool for mixed model association analysis of large-scale data

2019

Journal Article

No evidence for social genetic effects or genetic similarity among friends beyond that due to population stratification: A reappraisal of Domingue et al (2018)

Yengo, Loic, Sidari, Morgan, Verweij, Karin J. H., Visscher, Peter M., Keller, Matthew C. and Zietsch, Brendan P. (2019). No evidence for social genetic effects or genetic similarity among friends beyond that due to population stratification: A reappraisal of Domingue et al (2018). Behavior Genetics, 50 (1), 67-71. doi: 10.1007/s10519-019-09979-2

No evidence for social genetic effects or genetic similarity among friends beyond that due to population stratification: A reappraisal of Domingue et al (2018)

2019

Journal Article

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Lloyd-Jones, Luke R., Zeng, Jian, Sidorenko, Julia, Yengo, Loïc, Moser, Gerhard, Kemper, Kathryn E., Wang, Huanwei, Zheng, Zhili, Magi, Reedik, Esko, Tõnu, Metspalu, Andres, Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2019). Improved polygenic prediction by Bayesian multiple regression on summary statistics. Nature Communications, 10 (1) 5086, 1-10. doi: 10.1038/s41467-019-12653-0

Improved polygenic prediction by Bayesian multiple regression on summary statistics

2019

Journal Article

Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

Andlauer, Till F. M., Guzman-Parra, Jose, Streit, Fabian, Strohmaier, Jana, González, Maria José, Gil Flores, Susana, Cabaleiro Fabeiro, Francisco J., del Río Noriega, Francisco, Perez, Fermin Perez, Haro González, Jesus, Orozco Diaz, Guillermo, de Diego-Otero, Yolanda, Moreno-Küstner, Berta, Auburger, Georg, Degenhardt, Franziska, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hoffmann, Per, Frank, Josef, Foo, Jerome C., Treutlein, Jens, Witt, Stephanie H., Cichon, Sven, Kogevinas, Manolis, Stahl, Eli A, Breen, Gerome, Forstner, Andreas J, McQuillin, Andrew, Ripke, Stephan ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2019). Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders. Molecular Psychiatry, 26 (4), 1286-1298. doi: 10.1038/s41380-019-0558-2

Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

2019

Journal Article

The genetics of the mood disorder spectrum: Genome-wide association analyses of more than 185,000 cases and 439,000 controls

Coleman, Jonathan R.I., Gaspar, Héléna A., Bryois, Julien, Byrne, Enda M., Forstner, Andreas J., Holmans, Peter A., de Leeuw, Christiaan A., Mattheisen, Manuel, McQuillin, Andrew, Whitehead Pavlides, Jennifer M., Pers, Tune H., Ripke, Stephan, Stahl, Eli A., Steinberg, Stacy, Trubetskoy, Vassily, Trzaskowski, Maciej, Wang, Yunpeng, Abbott, Liam, Abdellaoui, Abdel, Adams, Mark J., Adolfsson, Annelie Nordin, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D., Andlauer, Till F.M., Anjorin, Adebayo, Antilla, Verneri ... Breen, Gerome (2019). The genetics of the mood disorder spectrum: Genome-wide association analyses of more than 185,000 cases and 439,000 controls. Biological Psychiatry, 88 (2), 169-184. doi: 10.1016/j.biopsych.2019.10.015

The genetics of the mood disorder spectrum: Genome-wide association analyses of more than 185,000 cases and 439,000 controls

2019

Journal Article

The Parkinson's disease Mendelian randomization research portal

Noyce, Alastair J., Bandres-Ciga, Sara, Kim, Jonggeol, Heilbron, Karl, Kia, Demis, Hemani, Gibran, Xue, Angli, Lawlor, Debbie A., Smith, George Davey, Duran, Raquel, Gan-Or, Ziv, Blauwendraat, Cornelis, Gibbs, J. Raphael, Hinds, David A., Yang, Jian, Visscher, Peter, Cuzick, Jack, Morris, Huw, Hardy, John, Wood, Nicholas W., Nalls, Mike A., Singleton, Andrew B., Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre ... Wilson, Catherine H. (2019). The Parkinson's disease Mendelian randomization research portal. Movement Disorders, 34 (12) mds.27873, 1864-1872. doi: 10.1002/mds.27873

The Parkinson's disease Mendelian randomization research portal

2019

Journal Article

Genetic correlates of social stratification in Great Britain

Abdellaoui, Abdel, Hugh-Jones, David, Yengo, Loic, Kemper, Kathryn E., Nivard, Michel G., Veul, Laura, Holtz, Yan, Zietsch, Brendan P., Frayling, Timothy M., Wray, Naomi R., Yang, Jian, Verweij, Karin J. H. and Visscher, Peter M. (2019). Genetic correlates of social stratification in Great Britain. Nature Human Behaviour, 3 (12), 1332-1342. doi: 10.1038/s41562-019-0757-5

Genetic correlates of social stratification in Great Britain

2019

Journal Article

Editorial: Characterizing Modern Microbialites and the Geobiological Processes Underlying Their Formation

Foster, Jamie S., Reid, R. Pamela, Visscher, Pieter T. and Dupraz, Christophe (2019). Editorial: Characterizing Modern Microbialites and the Geobiological Processes Underlying Their Formation. Frontiers in Microbiology, 10 2299. doi: 10.3389/fmicb.2019.02299

Editorial: Characterizing Modern Microbialites and the Geobiological Processes Underlying Their Formation

2019

Journal Article

Extreme inbreeding in a European ancestry sample from the contemporary UK population

Yengo, Loic, Wray, Naomi R. and Visscher, Peter M. (2019). Extreme inbreeding in a European ancestry sample from the contemporary UK population. Nature Communications, 10 (1) 3719, 3719. doi: 10.1038/s41467-019-11724-6

Extreme inbreeding in a European ancestry sample from the contemporary UK population

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

Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank

Wang, Huanwei, Zhang, Futao, Zeng, Jian, Wu, Yang, Kemper, Kathryn E., Xue, Angli, Zhang, Min, Powell, Joseph E., Goddard, Michael E., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2019). Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank. Science Advances, 5 (8) eaaw3538, 1-12. doi: 10.1126/sciadv.aaw3538

Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank

2019

Journal Article

Classical human leukocyte antigen alleles and C4 haplotypes are not significantly associated With depression

Glanville, Kylie P., Coleman, Jonathan R. I., Hanscombe, Ken B., Euesden, Jack, Choi, Shing Wan, Purves, Kirstin L., Breen, Gerome, Air, Tracy M., Andlauer, Till F. M., Baune, Bernhard T., Binder, Elisabeth B., Blackwood, Douglas H. R., Boomsma, Dorret I., Buttenschøn, Henriette N., Colodro-Conde, Lucía, Dannlowski, Udo, Direk, Nese, Dunn, Erin C., Forstner, Andreas J., de Geus, Eco J. C., Grabe, Hans J., Hamilton, Steven P., Jones, Ian, Jones, Lisa A., Knowles, James A., Kutalik, Zoltán, Levinson, Douglas F., Lewis, Glyn, Lind, Penelope A. ... Børglum, Anders D. (2019). Classical human leukocyte antigen alleles and C4 haplotypes are not significantly associated With depression. Biological Psychiatry, 87 (5), 419-430. doi: 10.1016/j.biopsych.2019.06.031

Classical human leukocyte antigen alleles and C4 haplotypes are not significantly associated With depression

Current funding

  • 2019 - 2025
    Causes and consequence of human trait variation
    ARC Australian Laureate Fellowships
    Open grant

Past funding

  • 2022 - 2025
    Genetic architecture and evolution of complex traits across populations
    ARC Discovery Projects
    Open grant
  • 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:
Not available for supervision

Supervision history

Current supervision

  • Doctor Philosophy

    Integrating GWAS and molecular QTL data to dissect genetic architecture and improve polygenic prediction

    Associate Advisor

    Other advisors: Dr Jian Zeng

  • Doctor Philosophy

    Genetic architecture and evolution of complex traits across populations in humans

    Associate Advisor

    Other advisors: Professor Naomi Wray, Dr Fleur Garton, Dr Jian Zeng

Completed supervision

Enquiries

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