Skip to menu Skip to content Skip to footer
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

803 works between 1987 and 2025

21 - 40 of 803 works

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) 43, 1-13. 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

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, 187 (2), 495-510. doi: 10.1016/j.cell.2023.12.001

Erratum: autism-related dietary preferences mediate autism-gut microbiome associations

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

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

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

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

2023

Journal Article

Interactions between the lipidome and genetic and environmental factors in autism

Yap, Chloe X., Henders, Anjali K., Alvares, Gail A., Giles, Corey, Huynh, Kevin, Nguyen, Anh, Wallace, Leanne, McLaren, Tiana, Yang, Yuanhao, Hernandez, Leanna M., Gandal, Michael J., Hansell, Narelle K., Cleary, Dominique, Grove, Rachel, Hafekost, Claire, Harun, Alexis, Holdsworth, Helen, Jellett, Rachel, Khan, Feroza, Lawson, Lauren P., Leslie, Jodie, Levis Frenk, Mira, Masi, Anne, Mathew, Nisha E., Muniandy, Melanie, Nothard, Michaela, Miller, Jessica L., Nunn, Lorelle, Strike, Lachlan T. ... The Busselton Health Study Investigators (2023). Interactions between the lipidome and genetic and environmental factors in autism. Nature Medicine, 29 (4), 936-949. doi: 10.1038/s41591-023-02271-1

Interactions between the lipidome and genetic and environmental factors in autism

2023

Journal Article

Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness

Makowski, Carolina, Wang, Hao, Srinivasan, Anjali, Qi, Anna, Qiu, Yuqi, van der Meer, Dennis, Frei, Oleksandr, Zou, Jingjing, Visscher, Peter M., Yang, Jian and Chen, Chi-Hua (2023). Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness. Proceedings of the National Academy of Sciences, 120 (11) e2214834120, e2214834120. doi: 10.1073/pnas.2214834120

Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness

2023

Journal Article

15 years of GWAS discovery: realizing the promise

Abdellaoui, Abdel, Yengo, Loic, Verweij, Karin J. H. and Visscher, Peter M. (2023). 15 years of GWAS discovery: realizing the promise. The American Journal of Human Genetics, 110 (2), 179-194. doi: 10.1016/j.ajhg.2022.12.011

15 years of GWAS discovery: realizing the promise

2023

Journal Article

Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose

Qiao, Zhen, Sidorenko, Julia, Revez, Joana A., Xue, Angli, Lu, Xueling, Pärna, Katri, Snieder, Harold, Visscher, Peter M., Wray, Naomi R., Yengo, Loic and Lifelines Cohort Study (2023). Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose. Nature Communications, 14 (1) 451, 1-11. doi: 10.1038/s41467-023-36013-1

Estimation and implications of the genetic architecture of fasting and non-fasting blood glucose

2023

Journal Article

Phenotypic and genetic factors associated with absence of cardiomyopathy symptoms in PLN:c.40_42delAGA carriers

Lopera-Maya, Esteban A., Li, Shuang, de Brouwer, Remco, Nolte, Ilja M., van Breen, Justin, Bosman, Laurens P., Verstraelen, Tom E., van Lint, Freya H. M., Cox, Moniek G. P. J., Groeneweg, Judith A., Mast, Thomas P., van der Zwaag, Paul A., Volders, Paul G. A., Evertz, Reinder, Wong, Lisa, de Groot, Natasja M. S., Zeppenfeld, Katja, van der Heijden, Jeroen F., van den Berg, Maarten P., Wilde, Arthur A. M., Asselbergs, Folkert W., Hauer, Richard N. W., te Riele, Anneline S. J. M., van Tintelen, J. Peter, Aguirre-Gamboa, Raul, Kuivenhoven, Jan A., Maya, Esteban A. Lopera, Visscher, Peter M., Vonk, Judith M. ... Lifelines Cohort Study (2023). Phenotypic and genetic factors associated with absence of cardiomyopathy symptoms in PLN:c.40_42delAGA carriers. Journal of Cardiovascular Translational Research, 16 (6), 1251-1266. doi: 10.1007/s12265-022-10347-5

Phenotypic and genetic factors associated with absence of cardiomyopathy symptoms in PLN:c.40_42delAGA carriers

2023

Journal Article

mBAT-combo: a more powerful test to detect gene-trait associations from GWAS data

Li, Ang, Liu, Shouye, Bakshi, Andrew, Jiang, Longda, Chen, Wenhan, Zheng, Zhili, Sullivan, Patrick F., Visscher, Peter M., Wray, Naomi R., Yang, Jian and Zeng, Jian (2023). mBAT-combo: a more powerful test to detect gene-trait associations from GWAS data. American Journal of Human Genetics, 110 (1), 30-43. doi: 10.1016/j.ajhg.2022.12.006

mBAT-combo: a more powerful test to detect gene-trait associations from GWAS data

Supervision

Availability

Professor Peter Visscher is:
Not available for supervision

Supervision history

Current supervision

Completed supervision

Media

Enquiries

For media enquiries about Professor Peter Visscher's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au