Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Luke R Lloyd-Jones"'
Autor:
Luke R Lloyd-Jones, Petra M Kuhnert, Emma Lawrence, Stephen E Lewis, Jane Waterhouse, Renee K Gruber, Frederieke J Kroon
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271930 (2022)
Monitoring programs are fundamental to understanding the state and trend of aquatic ecosystems. Sampling designs are a crucial component of monitoring programs and ensure that measurements evaluate progress toward clearly stated management objectives
Externí odkaz:
https://doaj.org/article/581b3ac91d3546cabefda3a0ed1d8d04
Autor:
Luke R. Lloyd-Jones, Mark V. Bravington, Kyle N. Armstrong, Emma Lawrence, Pierre Feutry, Christopher M. Todd, Annabel Dorrestein, Justin A. Welbergen, John M. Martin, Karrie Rose, Jane Hall, David N. Phalen, Isabel Peters, Shane M. Baylis, Nicholas A. Macgregor, David A. Westcott
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract Reliable information on population size is fundamental to the management of threatened species. For wild species, mark-recapture methods are a cornerstone of abundance estimation. Here, we show the first application of the close-kin mark-rec
Externí odkaz:
https://doaj.org/article/c2e1c61427694a8cb08805e02b3cfeb5
Autor:
Luke R. Lloyd‐Jones, Matthew L. Brien, Pierre Feutry, Emma Lawrence, Paul Beri, Simon Booth, Steven Coulson, Shane M. Baylis, Kira Villiers, Laurence E. Taplin, David A. Westcott
Publikováno v:
Evolutionary Applications, Vol 16, Iss 4, Pp 911-935 (2023)
Abstract Effective management of protected species requires information on appropriate evolutionary and geographic population boundaries and knowledge of how the physical environment and life‐history traits combine to shape the population structure
Externí odkaz:
https://doaj.org/article/6a41b36ff005420d97fca6145fcbb131
Autor:
Luke R. Lloyd-Jones, Jian Yang, Huanwei Wang, Loic Yengo, Angli Xue, Zhili Zheng, Yang Wu, Michael E. Goddard, Longda Jiang, Naomi R. Wray, Peter M. Visscher, Jian Zeng, Kathryn E. Kemper
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications
Nature Communications
Understanding how natural selection has shaped genetic architecture of complex traits is of importance in medical and evolutionary genetics. Bayesian methods have been developed using individual-level GWAS data to estimate multiple genetic architectu
Autor:
Alexander Holloway, Joseph E. Powell, Naomi R. Wray, Peter Smartt, Luke R. Lloyd-Jones, Jacob Gratten, Chloe X. Yap
Publikováno v:
European Journal of Human Genetics. 26:1361-1368
Trans-eQTLs have been implicated in complex traits and common diseases, but many were initially identified on the basis of having an effect in cis, and there has been no assessment of the significance of the overlap in relation to chance expectations
Publikováno v:
Genetics. 208:1397-1408
Genome-wide association studies (GWAS) have identified thousands of loci that are robustly associated with complex diseases. The use of linear mixed model (LMM) methodology for GWAS is becoming more prevalent due to its ability to control for populat
Autor:
Peter M. Visscher, Jian Zeng, Ting Qi, Riccardo E. Marioni, Nicholas G. Martin, Zhili Zheng, Allan F. McRae, Futao Zhang, Yang Wu, Grant W. Montgomery, Jian Yang, Ian J. Deary, Naomi R. Wray, Zhihong Zhu, Luke R. Lloyd-Jones
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
Nature Communications
Wu, Y, Zeng, J, Zhang, F, Zhu, Z, Qi, T, Zheng, Z, Luke R, L-J, Marioni, R, Martin, N G, Montgomery, G W, Deary, I J, Visscher, P, Mcrae, A F & Yang, J 2018, ' Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits ', Nature Communications, vol. 9, 918, pp. 1-14 . https://doi.org/10.1038/s41467-018-03371-0
Nature Communications
Wu, Y, Zeng, J, Zhang, F, Zhu, Z, Qi, T, Zheng, Z, Luke R, L-J, Marioni, R, Martin, N G, Montgomery, G W, Deary, I J, Visscher, P, Mcrae, A F & Yang, J 2018, ' Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits ', Nature Communications, vol. 9, 918, pp. 1-14 . https://doi.org/10.1038/s41467-018-03371-0
The identification of genes and regulatory elements underlying the associations discovered by GWAS is essential to understanding the aetiology of complex traits (including diseases). Here, we demonstrate an analytical paradigm of prioritizing genes a
Autor:
Andres Metspalu, Joseph E. Powell, Greg Gibson, Arshed A. Quyyumi, Alexander Holloway, Urko M. Marigorta, Tõnu Esko, Jian Yang, Kenneth L. Brigham, Peter M. Visscher, Luke R. Lloyd-Jones, Grant W. Montgomery, Biao Zeng, Youssef Idaghdour
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 8, Pp 2533-2544 (2017)
G3: Genes|Genomes|Genetics
G3: Genes|Genomes|Genetics
Expression quantitative trait locus (eQTL) detection has emerged as an important tool for unraveling of the relationship between genetic risk factors and disease or clinical phenotypes. Most studies use single marker linear regression to discover pri
Autor:
Luke R. Lloyd-Jones, Patrik K. E. Magnusson, Magnus Johannesson, Nancy L. Pedersen, Tõnu Esko, Harold Snieder, David Cesarini, Ilja M. Nolte, Reedik Mägi, Jian Yang, Jana V. van Vliet-Ostaptchouk, Zhihong Zhu, Peter M. Visscher, Geoffrey English, Lili Milani, Erik Ingelsson, Marcus A. Triplett, Gerhard Moser, Matthew R. Robinson, Andres Metspalu
Publikováno v:
Nature Genetics, 49(8), 1174-+. Nature Publishing Group
Obesity is a worldwide epidemic, with major health and economic costs. Here we estimate heritability for body mass index (BMI) in 172,000 sibling pairs and 150,832 unrelated individuals and explore the contribution of genotype-covariate interaction e
Autor:
Matthew R. Robinson, Gerhard Moser, Sandra Beleza, Gregory S. Barsh, Jian Zeng, Hua Tang, Peter M. Visscher, Luke R. Lloyd-Jones
Publikováno v:
Genetics. 206:1113-1126
Genetic association studies in admixed populations are underrepresented in the genomics literature, with a key concern for researchers being the adequate control of spurious associations due to population structure. Linear mixed models (LMMs) are wel