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Dr Kathryn Kemper
Dr

Kathryn Kemper

Email: 
Phone: 
+61 7 334 62627

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

66 works between 2003 and 2024

21 - 40 of 66 works

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

Genome-wide association study of dietary intake in the UK biobank study and its associations with schizophrenia and other traits

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

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

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

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

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

The effect of X-linked dosage compensation on complex trait variation

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

Genome-wide association study of medication-use and associated disease in the UK Biobank

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

Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder

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

Common genetic variation explains a high proportion of the elevated risk of psychiatric disorders in children of younger mothers

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

Dissection of genetic variation and evidence for pleiotropy in male pattern baldness

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

Imprint of assortative mating on the human genome

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

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry

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

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes

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

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

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

Association between population density and genetic risk for schizophrenia

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

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

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

Comparison of genotypic and phenotypic correlations: Cheverud's conjecture in humans

2018

Journal Article

A multi-trait Bayesian method for mapping QTL and genomic prediction

Kemper, Kathryn E., Bowman, Philip J., Hayes, Benjamin J., Visscher, Peter M. and Goddard, Michael E. (2018). A multi-trait Bayesian method for mapping QTL and genomic prediction. Genetics Selection Evolution, 50 (1) 10, 10. doi: 10.1186/s12711-018-0377-y

A multi-trait Bayesian method for mapping QTL and genomic prediction

2018

Conference Publication

The use of multi-breed reference populations and multi-omic data to maximize accuracy of genomic prediction

Goddard, M.E., MacLeod, I.M., Kemper, K.E., Xiang, R., van den Berg, I., Khansefid, M., Daetwyler, H.D. and Hayes, B.J. (2018). The use of multi-breed reference populations and multi-omic data to maximize accuracy of genomic prediction. 11th World Congress of Genetics Applied to Livestock Production, Auckland, New Zealand, 11-16 February 2018. Auckland, New Zealand: WCGALP.

The use of multi-breed reference populations and multi-omic data to maximize accuracy of genomic prediction

2017

Journal Article

Detection and assessment of copy number variation using PacBio long-read and Illumina sequencing in New Zealand dairy cattle

Couldrey, C., Keehan, M., Johnson, T., Tiplady, K., Winkelman, A., Littlejohn, M. D., Scott, A., Kemper, K. E., Hayes, B., Davis, S. R. and Spelman, R. J. (2017). Detection and assessment of copy number variation using PacBio long-read and Illumina sequencing in New Zealand dairy cattle. Journal of Dairy Science, 100 (7), 5472-5478. doi: 10.3168/jds.2016-12199

Detection and assessment of copy number variation using PacBio long-read and Illumina sequencing in New Zealand dairy cattle

Supervision

Availability

Dr Kathryn Kemper is:
Available for supervision

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Supervision history

Current supervision

Media

Enquiries

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communications@uq.edu.au