Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Samuel A Lambert"'
Autor:
Kamesh Narasimhan, Samuel A Lambert, Ally WH Yang, Jeremy Riddell, Sanie Mnaimneh, Hong Zheng, Mihai Albu, Hamed S Najafabadi, John S Reece-Hoyes, Juan I Fuxman Bass, Albertha JM Walhout, Matthew T Weirauch, Timothy R Hughes
Publikováno v:
eLife, Vol 4 (2015)
Caenorhabditis elegans is a powerful model for studying gene regulation, as it has a compact genome and a wealth of genomic tools. However, identification of regulatory elements has been limited, as DNA-binding motifs are known for only 71 of the est
Externí odkaz:
https://doaj.org/article/f5fb0c93967e4b798b4863e1ee5801aa
Autor:
Ruidong Xiang, Martin Kelemen, Yu Xu, Laura W. Harris, Helen Parkinson, Michael Inouye, Samuel A. Lambert
Publikováno v:
Genome Medicine, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Polygenic scores (PGS) can be used for risk stratification by quantifying individuals’ genetic predisposition to disease, and many potentially clinically useful applications have been proposed. Here, we review the latest potential benefits
Externí odkaz:
https://doaj.org/article/afd2a65ad1024f02a94ecb4905c69f5e
Autor:
Scott C. Ritchie, Praveen Surendran, Savita Karthikeyan, Samuel A. Lambert, Thomas Bolton, Lisa Pennells, John Danesh, Emanuele Di Angelantonio, Adam S. Butterworth, Michael Inouye
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-15 (2023)
Abstract Metabolic biomarker data quantified by nuclear magnetic resonance (NMR) spectroscopy in approximately 121,000 UK Biobank participants has recently been released as a community resource, comprising absolute concentrations and ratios of 249 ci
Externí odkaz:
https://doaj.org/article/ed35ebeeea8940d695ceb67db7b808ab
Autor:
Carles Foguet, Yu Xu, Scott C. Ritchie, Samuel A. Lambert, Elodie Persyn, Artika P. Nath, Emma E. Davenport, David J. Roberts, Dirk S. Paul, Emanuele Di Angelantonio, John Danesh, Adam S. Butterworth, Christopher Yau, Michael Inouye
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Here, the authors present a method to build genetically personalised metabolic models across tissues to estimate individualised reaction fluxes. A fluxome-wide association study in UK Biobank identifies fluxes associated with metabolites and coronary
Externí odkaz:
https://doaj.org/article/23538818abb444f69d502c15c55eb6de
Autor:
Qin Qin Huang, Neneh Sallah, Diana Dunca, Bhavi Trivedi, Karen A. Hunt, Sam Hodgson, Samuel A. Lambert, Elena Arciero, John Wright, Chris Griffiths, Richard C. Trembath, Harry Hemingway, Michael Inouye, Sarah Finer, David A. van Heel, R. Thomas Lumbers, Hilary C. Martin, Karoline Kuchenbaecker
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Most genetic studies of disease have been done in European ancestry cohorts, and the relevance to other populations is not guaranteed. Here, the authors use data from 22,000 British South Asian individuals and find that the transferability of polygen
Externí odkaz:
https://doaj.org/article/af139749eecb4c7f9b43bbe55d9cbd93
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 8, Iss 1, Pp 219-229 (2018)
KRAB C2H2 zinc finger proteins (KZNFs) are the largest and most diverse family of human transcription factors, likely due to diversifying selection driven by novel endogenous retroelements (EREs), but the vast majority lack binding motifs or function
Externí odkaz:
https://doaj.org/article/d4d7b76d60014ed784c03e947222da92
Autor:
Yu Xu, Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, Loïc Lannelongue, Samuel A. Lambert, Usman A. Tahir, Sebastian May-Wilson, Carles Foguet, Åsa Johansson, Praveen Surendran, Artika P. Nath, Elodie Persyn, James E. Peters, Clare Oliver-Williams, Shuliang Deng, Bram Prins, Jian’an Luan, Lorenzo Bomba, Nicole Soranzo, Emanuele Di Angelantonio, Nicola Pirastu, E. Shyong Tai, Rob M. van Dam, Helen Parkinson, Emma E. Davenport, Dirk S. Paul, Christopher Yau, Robert E. Gerszten, Anders Mälarstig, John Danesh, Xueling Sim, Claudia Langenberg, James F. Wilson, Adam S. Butterworth, Michael Inouye
Publikováno v:
Xu, Y, Ritchie, S C, Liang, Y, Timmers, P R H J, Pietzner, M, Lannelongue, L, Lambert, S A, Tahir, U A, May-Wilson, S, Foguet, C, Johansson, Å, Surendran, P, Nath, A P, Persyn, E, Peters, J E, Oliver-Williams, C, Deng, S, Prins, B, Luan, J, Bomba, L, Soranzo, N, Di Angelantonio, E, Pirastu, N, Tai, E S, van Dam, R M, Parkinson, H, Davenport, E E, Paul, D S, Yau, C, Gerszten, R E, Mälarstig, A, Danesh, J, Sim, X, Langenberg, C, Wilson, J F, Butterworth, A S & Inouye, M 2023, ' An atlas of genetic scores to predict multi-omic traits ', Nature, vol. 616, no. 7955, pp. 123-131 . https://doi.org/10.1038/s41586-023-05844-9
The use of omic modalities to dissect the molecular underpinnings of common diseases and traits is becoming increasingly common. But multi-omic traits can be genetically predicted, which enables highly cost-effective and powerful analyses for studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4ad66d3a872bd064ddfd33b2ad4f8b7
https://www.pure.ed.ac.uk/ws/files/337957796/An_atlas_of_genetic_scores_to_predict_multi_omic_traits_s41586_023_05844_9.pdf
https://www.pure.ed.ac.uk/ws/files/337957796/An_atlas_of_genetic_scores_to_predict_multi_omic_traits_s41586_023_05844_9.pdf
The aim of this patient and public involvement and engagement (PPIE) work was to explore improvised theatre as a tool for facilitating bi-directional dialogue between researchers and patients/members of the public on the topic of polygenic risk score
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d45c91cf76a065ee7cb376ae92648326
https://www.repository.cam.ac.uk/handle/1810/346386
https://www.repository.cam.ac.uk/handle/1810/346386
Autor:
Elliot Sollis, Abayomi Mosaku, Ala Abid, Annalisa Buniello, Maria Cerezo, Laurent Gil, Tudor Groza, Osman Güneş, Peggy Hall, James Hayhurst, Arwa Ibrahim, Yue Ji, Sajo John, Elizabeth Lewis, Jacqueline A L MacArthur, Aoife McMahon, David Osumi-Sutherland, Kalliope Panoutsopoulou, Zoë Pendlington, Santhi Ramachandran, Ray Stefancsik, Jonathan Stewart, Patricia Whetzel, Robert Wilson, Lucia Hindorff, Fiona Cunningham, Samuel A Lambert, Michael Inouye, Helen Parkinson, Laura W Harris
Publikováno v:
Nucleic acids research.
The NHGRI-EBI GWAS Catalog (www.ebi.ac.uk/gwas) is a FAIR knowledgebase providing detailed, structured, standardised and interoperable genome-wide association study (GWAS) data to >200 000 users per year from academic research, healthcare and industr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab0d8788633b34367407df638d7a4bb4
https://pubmed.ncbi.nlm.nih.gov/36350656
https://pubmed.ncbi.nlm.nih.gov/36350656