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Professor Peter Visscher
Professor

Peter Visscher

Email: 
Phone: 
+61 7 344 37045

Overview

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

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.

Works

Search Professor Peter Visscher’s works on UQ eSpace

807 works between 1987 and 2025

101 - 120 of 807 works

2020

Journal Article

Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals

Colicino, Elena, Marioni, Riccardo, Ward-Caviness, Cavin, Gondalia, Rahul, Guan, Weihua, Chen, Brian, Tsai, Pei-Chien, Huan, Tianxiao, Xu, Gao, Golareh, Agha, Schwartz, Joel, Vokonas, Pantel, Just, Allan, Starr, John M., McRae, Allan F., Wray, Naomi R., Visscher, Peter M., Bressler, Jan, Zhang, Wen, Tanaka, Toshiko, Moore, Ann Zenobia, Pilling, Luke C., Zhang, Guosheng, Stewart, James D., Li, Yun, Hou, Lifang, Castillo-Fernandez, Juan, Spector, Tim, Kiel, Douglas P. ... Baccarelli, Andrea (2020). Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals. Aging, 12 (14), 14092-14124. doi: 10.18632/aging.103408

Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals

2020

Journal Article

A unified framework for association and prediction from vertex‐wise grey‐matter structure

Couvy‐Duchesne, Baptiste, Strike, Lachlan T., Zhang, Futao, Holtz, Yan, Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Colliot, Olivier, Wright, Margaret J., Wray, Naomi R., Yang, Jian and Visscher, Peter M. (2020). A unified framework for association and prediction from vertex‐wise grey‐matter structure. Human Brain Mapping, 41 (14) hbm.25109, 4062-4076. doi: 10.1002/hbm.25109

A unified framework for association and prediction from vertex‐wise grey‐matter structure

2020

Journal Article

Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults

Hillary, Robert F., Trejo-Banos, Daniel, Kousathanas, Athanasios, McCartney, Daniel L., Harris, Sarah E., Stevenson, Anna J., Patxot, Marion, Ojavee, Sven Erik, Zhang, Qian, Liewald, David C., Ritchie, Craig W., Evans, Kathryn L., Tucker-Drob, Elliot M., Wray, Naomi R., McRae, Allan F., Visscher, Peter M., Deary, Ian J., Robinson, Matthew R. and Marioni, Riccardo E. (2020). Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults. Genome Medicine, 12 (1) 60, 60. doi: 10.1186/s13073-020-00754-1

Multi-method genome- and epigenome-wide studies of inflammatory protein levels in healthy older adults

2020

Other Outputs

Genome-wide analyses of behavioural traits biased by misreports and longitudinal changes

Xue, Angli, Jiang, Longda, Zhu, Zhihong, Wray, Naomi R., Visscher, Peter M., Zeng, Jian and Yang, Jian (2020). Genome-wide analyses of behavioural traits biased by misreports and longitudinal changes. doi: 10.1101/2020.06.15.20131284

Genome-wide analyses of behavioural traits biased by misreports and longitudinal changes

2020

Journal Article

Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders

Byrne, Enda M., Zhu, Zhihong, Qi, Ting, Skene, Nathan G., Bryois, Julien, Pardinas, Antonio F., Stahl, Eli, Bipolar Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Rietschel, Marcella, Smoller, Jordan W., Owen, Michael J., Walters, James T. R., O’Donovan, Michael C., McGrath, John G., Hjerling-Leffler, Jens, Sullivan, Patrick F., Goddard, Michael E., Visscher, Peter M., Yang, Jian and Wray, Naomi R. (2020). Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders. Molecular Psychiatry, 26 (6), 2070-2081. doi: 10.1038/s41380-020-0705-9

Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders

2020

Journal Article

Musings on Visscher et al. (2006)

Visscher, Peter M. (2020). Musings on Visscher et al. (2006). Twin Research and Human Genetics, 23 (2), 1-2. doi: 10.1017/thg.2020.21

Musings on Visscher et al. (2006)

2020

Journal Article

Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration

Revez, Joana A., Lin, Tian, Qiao, Zhen, Xue, Angli, Holtz, Yan, Zhu, Zhihong, Zeng, Jian, Wang, Huanwei, Sidorenko, Julia, Kemper, Kathryn E., Vinkhuyzen, Anna A. E., Frater, Julanne, Eyles, Darryl, Burne, Thomas H. J., Mitchell, Brittany, Martin, Nicholas G., Zhu, Gu, Visscher, Peter M., Yang, Jian, Wray, Naomi R. and McGrath, John J. (2020). Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration. Nature Communications, 11 (1) 1647, 1-12. doi: 10.1038/s41467-020-15421-7

Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration

2020

Journal Article

Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

Amare, Azmeraw T., Schubert, Klaus Oliver, Hou, Liping, Clark, Scott R., Papiol, Sergi, Cearns, Micah, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hsu, Yi-Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M., Birner, Armin, Brichant-Petitjean, Clara, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven ... Baune, Bernhard T. (2020). Association of polygenic score for major depression with response to lithium in patients with bipolar disorder. Molecular Psychiatry, 26 (6), 2457-2470. doi: 10.1038/s41380-020-0689-5

Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

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

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

Other Outputs

Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

Wang, Ying, Guo, Jing, Ni, Guiyan, Yang, Jian, Visscher, Peter M. and Yengo, Loic (2020). Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations. doi: 10.1101/2020.01.14.905927

Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

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

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

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

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

Other Outputs

Cross-Species Integration of Transcriptomic Effects of Tobacco and Nicotine Exposure Helps to Prioritize Genetic Effects on Human Tobacco Consumption

Palmer, Rohan H C, Benca-Bachman, Chelsie E., Bubier, Jason A., McGeary, John E, Ramgiri, Nikhil, Srijeyanthan, Jenani, Huggett, Spencer, Yang, Jingjing, Visscher, Peter, Yang, Jian, Knopik, Valerie and Chesler, Elissa J. (2019). Cross-Species Integration of Transcriptomic Effects of Tobacco and Nicotine Exposure Helps to Prioritize Genetic Effects on Human Tobacco Consumption. doi: 10.1101/2019.12.23.887083

Cross-Species Integration of Transcriptomic Effects of Tobacco and Nicotine Exposure Helps to Prioritize Genetic Effects on Human Tobacco Consumption

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

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

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

Supervision

Availability

Professor Peter Visscher is:
Not available for supervision

Supervision history

Current supervision

Completed supervision

Media

Enquiries

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