Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Luke R. Lloyd‐Jones"'
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:
Jian Zeng, Angli Xue, Longda Jiang, Luke R. Lloyd-Jones, Yang Wu, Huanwei Wang, Zhili Zheng, Loic Yengo, Kathryn E. Kemper, Michael E. Goddard, Naomi R. Wray, Peter M. Visscher, Jian Yang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Methods to study how natural selection shapes genetic architecture of complex traits rely on individual level genome-wide association study (GWAS) data. Here, the authors present a Bayesian method using GWAS summary statistics to study genetic archit
Externí odkaz:
https://doaj.org/article/7021cd9e0b7a461ab740f757fc19b112
Autor:
Luke R. Lloyd-Jones, Jian Zeng, Julia Sidorenko, Loïc Yengo, Gerhard Moser, Kathryn E. Kemper, Huanwei Wang, Zhili Zheng, Reedik Magi, Tõnu Esko, Andres Metspalu, Naomi R. Wray, Michael E. Goddard, Jian Yang, Peter M. Visscher
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Various approaches are being used for polygenic prediction including Bayesian multiple regression methods that require access to individual-level genotype data. Here, the authors extend BayesR to utilise GWAS summary statistics (SBayesR) and show tha
Externí odkaz:
https://doaj.org/article/08ca063725f844dd8f1661fc58a72c97
Autor:
Julia Sidorenko, Irfahan Kassam, Kathryn E. Kemper, Jian Zeng, Luke R. Lloyd-Jones, Grant W. Montgomery, Greg Gibson, Andres Metspalu, Tonu Esko, Jian Yang, Allan F. McRae, Peter M. Visscher
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
Dosage compensation (DC) on the X chromosome has predictable effects on genetic and phenotypic trait variance. Here, the authors use information for 20 quantitative traits in the UK Biobank and across-tissue gene expression to compare X-linked herita
Externí odkaz:
https://doaj.org/article/013d3c416c61462f8755c27f7c64fc0a
Autor:
Angli Xue, Yang Wu, Zhihong Zhu, Futao Zhang, Kathryn E. Kemper, Zhili Zheng, Loic Yengo, Luke R. Lloyd-Jones, Julia Sidorenko, Yeda Wu, eQTLGen Consortium, Allan F. McRae, Peter M. Visscher, Jian Zeng, Jian Yang
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
GWAS have so far identified 129 loci associated with type 2 diabetes (T2D). Here, the authors meta-analyse three large T2D GWA studies which uncovers 42 additional loci, further prioritize 33 functional genes using eQTL and mQTL data and propose regu
Externí odkaz:
https://doaj.org/article/32799b23a5074a0f8b6b2e7ac5c1cd6b
Autor:
Yang Wu, Jian Zeng, Futao Zhang, Zhihong Zhu, Ting Qi, Zhili Zheng, Luke R. Lloyd-Jones, Riccardo E. Marioni, Nicholas G. Martin, Grant W. Montgomery, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
The identification of the causal gene at a GWAS locus remains to be a challenging task. Here, using the SMR & HEIDI method to integrate GWAS, eQTL and mQTL data, Wu et al. map DNA methylation sites to the transcriptome and thereby prioritize function
Externí odkaz:
https://doaj.org/article/a6ab9fc5f7564113952bcd84f4a08d3e
Autor:
Samuel W. Lukowski, Luke R. Lloyd-Jones, Alexander Holloway, Holger Kirsten, Gibran Hemani, Jian Yang, Kerrin Small, Jing Zhao, Andres Metspalu, Emmanouil T. Dermitzakis, Greg Gibson, Timothy D. Spector, Joachim Thiery, Markus Scholz, Grant W. Montgomery, Tonu Esko, Peter M. Visscher, Joseph E. Powell
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Covariance of gene expression pairs is due to a combination of shared genetic and environmental factors. Here the authors estimate the genetic correlation between highly heritable pairs and identify transcription factor control and chromatin interact
Externí odkaz:
https://doaj.org/article/abe7224d0aa64c2eb3dc8e8b4d6f7a2b
Autor:
Biao Zeng, Luke R. Lloyd-Jones, Alexander Holloway, Urko M. Marigorta, Andres Metspalu, Grant W. Montgomery, Tonu Esko, Kenneth L. Brigham, Arshed A. Quyyumi, Youssef Idaghdour, Jian Yang, Peter M. Visscher, Joseph E. Powell, Greg Gibson
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 8, Pp 2533-2544 (2017)
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
Externí odkaz:
https://doaj.org/article/ac3104eab3ed487ba98013c4e22eb1cb
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2549be02b4b5b851851e50c86187758a
https://doaj.org/article/7021cd9e0b7a461ab740f757fc19b112
https://doaj.org/article/7021cd9e0b7a461ab740f757fc19b112