Overview
Background
Dr Kemper is a postdoctoral fellow in statistical genetics. She joined UQ in 2016 after obtaining a PhD and postdoctoral experience at the University of Melbourne (2006-2016). Her expertise and research interests span a range of topics in quantitative genetics, including genomic prediction, modelling the epidemiological consequences of genetic change in disease and population genetics. Current research areas include:
- genetic analysis of longitudinal traits
- estimation of non-additive genetic effects
- genomic prediction in admixed populations
Availability
- Dr Kathryn Kemper is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy, University of Melbourne
Works
Search Professor Kathryn Kemper’s works on UQ eSpace
2020
Journal Article
Genetic control of temperament traits across species: association of autism spectrum disorder risk genes with cattle temperament
Costilla, Roy, Kemper, Kathryn E., Byrne, Enda M., Porto-Neto, Laercio R., Carvalheiro, Roberto, Purfield, Deirdre C., Doyle, Jennifer L., Berry, Donagh P., Moore, Stephen S., Wray, Naomi R. and Hayes, Ben J. (2020). Genetic control of temperament traits across species: association of autism spectrum disorder risk genes with cattle temperament. Genetics Selection Evolution, 52 (1) 51, 51. doi: 10.1186/s12711-020-00569-z
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
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
2020
Journal Article
Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits
Niarchou, Maria, Byrne, Enda M., Trzaskowski, Maciej, Sidorenko, Julia, Kemper, Kathryn E., McGrath, John J., O’ Donovan, Michael C., Owen, Michael J. and Wray, Naomi R. (2020). Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits. Translational Psychiatry, 10 (1) 51, 1-11. doi: 10.1038/s41398-020-0688-y
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
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
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
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
2019
Journal Article
The effect of X-linked dosage compensation on complex trait variation
Sidorenko, Julia, Kassam, Irfahan, Kemper, Kathryn E., Zeng, Jian, Lloyd-Jones, Luke R., Montgomery, Grant W., Gibson, Greg, Metspalu, Andres, Esko, Tonu, Yang, Jian, McRae, Allan F. and Visscher, Peter M. (2019). The effect of X-linked dosage compensation on complex trait variation. Nature Communications, 10 (1) 3009, 3009. doi: 10.1038/s41467-019-10598-y
2019
Journal Article
Genome-wide association study of medication-use and associated disease in the UK Biobank
Wu, Yeda, Byrne, Enda M., Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Mallett, Andrew J., Yang, Jian, Visscher, Peter M. and Wray, Naomi R. (2019). Genome-wide association study of medication-use and associated disease in the UK Biobank. Nature Communications, 10 (1) 1891, 1891. doi: 10.1038/s41467-019-09572-5
2019
Journal Article
Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder
Trzaskowski, Maciej, Mehta, Divya, Peyrot, Wouter J., Hawkes, David, Davies, Daniel, Howard, David M., Kemper, Kathryn E., Sidorenko, Julia, Maier, Robert, Ripke, Stephan, Mattheisen, Manuel, Baune, Bernhard T., Grabe, Hans J., Heath, Andrew C., Jones, Lisa, Jones, Ian, Madden, Pamela A.F., McIntosh, Andrew M., Breen, Gerome, Lewis, Cathryn M., Børglum, Anders D., Sullivan, Patrick F., Martin, Nicholas G., Kendler, Kenneth S., Levinson, Douglas F. and Wray, Naomi R. (2019). Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 180 (6), 439-447. doi: 10.1002/ajmg.b.32713
2019
Conference Publication
Common genetic variation explains a high proportion of the elevated risk of psychiatric disorders in children of younger mothers
Gratten, Jacob, Yang, Yuanhao, Trzaskowski, Maciej, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, Zhang, Futao, Zhu, Zhihong, Mcrae, Allan, Yang, Jian, Wray, Naomi and Visscher, Peter (2019). Common genetic variation explains a high proportion of the elevated risk of psychiatric disorders in children of younger mothers. 26th World Congress of Psychiatric Genetics (WCPG), Glasgow, Scotland, 11-15 October, 2018. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.euroneuro.2018.08.167
2018
Journal Article
Dissection of genetic variation and evidence for pleiotropy in male pattern baldness
Yap, Chloe X., Sidorenko, Julia, Wu, Yang, Kemper, Kathryn E., Yang, Jian, Wray, Naomi R., Robinson, Matthew R. and Visscher, Peter M. (2018). Dissection of genetic variation and evidence for pleiotropy in male pattern baldness. Nature Communications, 9 (1) 5407, 5407. doi: 10.1038/s41467-018-07862-y
2018
Journal Article
Imprint of assortative mating on the human genome
Yengo, Loic, Robinson, Matthew R., Keller, Matthew C., Kemper, Kathryn E., Yang, Yuanhao, Trzaskowski, Maciej, Gratten, Jacob, Turley, Patrick, Cesarini, David, Benjamin, Daniel J., Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2018). Imprint of assortative mating on the human genome. Nature Human Behaviour, 2 (12), 948-954. doi: 10.1038/s41562-018-0476-3
2018
Journal Article
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
Yengo, Loic, Sidorenko, Julia, Kemper, Kathryn E., Zheng, Zhili, Wood, Andrew R., Weedon, Michael N., Frayling, Timothy M., Hirschhorn, Joel, Yang, Jian and Visscher, Peter M. (2018). Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics, 27 (20), 3641-3649. doi: 10.1093/hmg/ddy271
2018
Journal Article
Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes
Xue, Angli, Wu, Yang, Zhu, Zhihong, Zhang, Futao, Kemper, Kathryn E., Zheng, Zhili, Yengo, Loic, Lloyd-Jones, Luke R., Sidorenko, Julia, Wu, Yeda, eQTLGen Consortium, McRae, Allan F., Visscher, Peter M., Zeng, Jian and Yang, Jian (2018). Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications, 9 (1) 2941, 2941. doi: 10.1038/s41467-018-04951-w
2018
Journal Article
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
Lee, James J., Wedow, Robbee, Okbay, Aysu, Kong, Edward, Maghzian, Omeed, Zacher, Meghan, Nguyen-Viet, Tuan Anh, Bowers, Peter, Sidorenko, Julia, Karlsson Linnér, Richard, Fontana, Mark Alan, Kundu, Tushar, Lee, Chanwook, Li, Hui, Li, Ruoxi, Royer, Rebecca, Timshel, Pascal N., Walters, Raymond K., Willoughby, Emily A., Yengo, Loïc, 23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Alver, Maris, Bao, Yanchun, Clark, David W., Day, Felix R., Furlotte, Nicholas A., Joshi, Peter K. ... Cesarini, David (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8), 1112-1121. doi: 10.1038/s41588-018-0147-3
2018
Conference Publication
Association between population density and genetic risk for schizophrenia
Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Whitfield, John B., Streit, Fabian, Gordon, Scott, Kemper, Kathryn E., Yengo, Loic, Zheng, Zhili, Trzaskowski, Maciej, de Zeeuw, Eveline L., Nivard, Michel G., Das, Marjolijn, Neale, Rachel E., MacGregor, Stuart, Olsen, Catherine M., Whiteman, David C., Boomsma, Dorret I., Yang, Jian, Rietschel, Marcella, McGrath, John J., Medland, Sarah E. and Martin, Nicholas G. (2018). Association between population density and genetic risk for schizophrenia. Chicago, IL, United States: American Medical Association. doi: 10.1001/jamapsychiatry.2018.1581
2018
Journal Article
Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Qi, Ting, Wu, Yang, Zeng, Jian, Zhang, Futao, Xue, Angli, Jiang, Longda, Zhu, Zhihong, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, eQTLGen Consortium, Marioni, Riccardo E., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2018). Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications, 9 (1) 2282, 2282. doi: 10.1038/s41467-018-04558-1
2018
Journal Article
Comparison of genotypic and phenotypic correlations: Cheverud's conjecture in humans
Sodini, Sebastian M., Kemper, Kathryn E., Wray, Naomi R. and Trzaskowski, Maciej (2018). Comparison of genotypic and phenotypic correlations: Cheverud's conjecture in humans. Genetics, 209 (3), 941-948. doi: 10.1534/genetics.117.300630
Supervision
Availability
- Dr Kathryn Kemper is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Statistical methods and application to analyses genome and trait data from large biobanks
Associate Advisor
Other advisors: Professor Loic Yengo
-
Doctor Philosophy
Statistical methods and application to analyses genome and trait data from large biobanks
Associate Advisor
Other advisors: Professor Loic Yengo
Media
Enquiries
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