IRUS-ANZ has moved. From January 2022, new monthly statistics will only be added to the IRUS R5 service. This site is archived. All statistics up to December 2021 will remain available on this site.

Author statistics

Author Identifier Number of Items Total Downloads
Kemper, K https://orcid.org/0000-0002-9288-4522 9 441

Items

Title Author(s) IrusType Repository Item URL Total Downloads
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.; MacGrego Conference Papers/Posters University of Queensland [UQ eSpace] 5
Comparing linkage and association analyses in sheep points to a better way of doing GWAS Kemper, Kathryn E.; Daetwyler, Hans D.; Visscher, Peter M.; Goddard, Michael E. Article University of Queensland [UQ eSpace] https://espace.library.uq.edu.au/view/UQ:284585 82
Genetic architecture of body size in mammals Kemper, Kathryn E.; Visscher, Peter M.; Goddard, Michael E. Article University of Queensland [UQ eSpace] https://espace.library.uq.edu.au/view/UQ:277267 41
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; Yang, Jian Article University of Queensland [UQ eSpace] 96
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, Al Article University of Queensland [UQ eSpace] 96
Improving the accuracy of across breed genomic predictions Goddard, M. E.; MacLeod, I. M.; Bolormaa, S.; Kemper, K. E. Conference Papers/Posters University of Queensland [UQ eSpace] https://espace.library.uq.edu.au/view/UQ:604843 2
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; Yang, Jian Conference Papers/Posters University of Queensland [UQ eSpace] 1
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, Li Article University of Queensland [UQ eSpace] 3
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.; Hayes, B.J. Conference Papers/Posters University of Queensland [UQ eSpace] https://espace.library.uq.edu.au/view/UQ:729160 115
Jisc logo Cranfield logo CAVAL logo