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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

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

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

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

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

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

2016

Journal Article

Leveraging genetically simple traits to identify small-effect variants for complex phenotypes

Kemper, K. E., Littlejohn, M. D., Lopdell, T., Hayes, B. J., Bennett, L. E., Williams, R. P., Xu, X. Q., Visscher, P. M., Carrick, M. J. and Goddard, M. E. (2016). Leveraging genetically simple traits to identify small-effect variants for complex phenotypes. BMC Genomics, 17 (1) 858, 858. doi: 10.1186/s12864-016-3175-3

Leveraging genetically simple traits to identify small-effect variants for complex phenotypes

2016

Journal Article

Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture

Goddard, M. E., Kemper, K. E., MacLeod, I. M., Chamberlain, A. J. and Hayes, B. J. (2016). Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture. Proceedings of the Royal Society B: Biological Sciences, 283 (1835) 20160569, 20160569. doi: 10.1098/rspb.2016.0569

Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture

2016

Journal Article

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle

Raven, Lesley-Ann, Cocks, Benjamin G., Kemper, Kathryn E., Chamberlain, Amanda J., Vander Jagt, Christy J., Goddard, Michael E. and Hayes, Ben J. (2016). Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle. Mammalian Genome, 27 (1-2), 81-97. doi: 10.1007/s00335-015-9613-8

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle