Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Marina Vabistsevits"'
Autor:
Marina Vabistsevits, George Davey Smith, Tom G. Richardson, Rebecca C. Richmond, Weiva Sieh, Joseph H. Rothstein, Laurel A. Habel, Stacey E. Alexeeff, Bethan Lloyd-Lewis, Eleanor Sanderson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The unexplained protective effect of childhood adiposity on breast cancer risk may be mediated via mammographic density (MD). Here, we investigate a complex relationship between adiposity in childhood and adulthood, puberty onset, MD phenoty
Externí odkaz:
https://doaj.org/article/d78236665ac0478d9d7e3a296d3e9e09
Autor:
Marina Vabistsevits, George Davey Smith, Eleanor Sanderson, Tom G. Richardson, Bethan Lloyd-Lewis, Rebecca C. Richmond
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-11 (2022)
Previous studies suggest that adiposity in childhood may reduce the risk of breast cancer in later life. A Mendelian randomization analysis suggests that the effects of adiposity may remain even when 18 potential mediators are accounted for, suggesti
Externí odkaz:
https://doaj.org/article/0a1ae7f899d7410ead81094bbb029d04
Autor:
Marta Lucchetta, Isabelle da Piedade, Mohamed Mounir, Marina Vabistsevits, Thilde Terkelsen, Elena Papaleo
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-20 (2019)
Abstract Background Genomic initiatives such as The Cancer Genome Atlas (TCGA) contain data from -omics profiling of thousands of tumor samples, which may be used to decipher cancer signaling, and related alterations. Managing and analyzing data from
Externí odkaz:
https://doaj.org/article/10e36e9d9d984b90baa9254f6db59729
Autor:
Bryony L. Hayes, Marina Vabistsevits, Richard M. Martin, Deborah A. Lawlor, Rebecca C. Richmond, Timothy Robinson
Publikováno v:
Obesity. 31:861-870
An increasing challenge in population health research is efficiently utilising the wealth of data available from multiple sources to investigate the mechanisms of disease and identify potential intervention targets. The use of biomedical data integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba773813b5a7db5c1198c0300879b284
https://doi.org/10.1101/2022.07.19.22277795
https://doi.org/10.1101/2022.07.19.22277795
Autor:
Bryony L Hayes, Marina Vabistsevits, Richard M Martin, Deborah A Lawlor, Rebecca C Richmond, Timothy Robinson
ObjectiveTo systematically evaluate the direction of any potential causal effect between sleep and adiposity traits.MethodsTwo-sample Mendelian randomization (MR) was used to assess the association of genetically predicted sleep traits on adiposity a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14cebdb9427ece6db5337d89fa4116c6
https://doi.org/10.1101/2022.07.08.22277418
https://doi.org/10.1101/2022.07.08.22277418
Autor:
Kristine Degn, Ludovica Beltrame, Freja Dahl Hede, Valentina Sora, Vincenzo Nicolaci, Marina Vabistsevits, Kjeld Schmiegelow, Karin Wadt, Matteo Tiberti, Matteo Lambrughi, Elena Papaleo
Publikováno v:
Degn, K, Beltrame, L, Dahl Hede, F, Sora, V, Nicolaci, V, Vabistsevits, M, Schmiegelow, K, Wadt, K, Tiberti, M, Lambrughi, M & Papaleo, E 2022, ' Cancer-related Mutations with Local or Long-range Effects on an Allosteric Loop of p53 ', Journal of Molecular Biology, vol. 434, no. 17, 167663 . https://doi.org/10.1016/j.jmb.2022.167663
The tumor protein 53 (p53) is involved in transcription-dependent and independent processes. Several p53 variants related to cancer have been found to impact protein stability. Other variants, on the contrary, might have little impact on structural s
Autor:
Marina Vabistsevits, Tom R. Gaunt, Benjamin Elsworth, Jie Zheng, Pau Erola, Matthew Lyon, Gibran Hemani, Valeriia Haberland, Yi Liu, Oliver Lloyd
Publikováno v:
Liu, Y, Elsworth, B L, Erola, P, Haberland, V, Hemani, G, Lyon, M S, Zheng, J, Lloyd, O, Vabistsevits, M & Gaunt, T R 2020, ' EpiGraphDB : a database and data mining platform for health data science ', Bioinformatics . https://doi.org/10.1093/bioinformatics/btaa961
Bioinformatics
Bioinformatics
Motivation The wealth of data resources on human phenotypes, risk factors, molecular traits and therapeutic interventions presents new opportunities for population health sciences. These opportunities are paralleled by a growing need for data integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e407889eb85b23274df92bace2bba31
https://ueaeprints.uea.ac.uk/id/eprint/77497/
https://ueaeprints.uea.ac.uk/id/eprint/77497/
Autor:
Isabelle da Piedade, Elena Papaleo, Marta Lucchetta, Thilde Terkelsen, Mohamed Mounir, Marina Vabistsevits
Publikováno v:
Lucchetta, M, da Piedade, I, Mounir, M, Vabistsevits, M, Terkelsen, T & Papaleo, E 2019, ' Distinct signatures of lung cancer types : aberrant mucin O-glycosylation and compromised immune response ', BMC Cancer, vol. 19, 824 . https://doi.org/10.1186/s12885-019-5965-x
BMC Cancer
BMC Cancer, Vol 19, Iss 1, Pp 1-20 (2019)
BMC Cancer
BMC Cancer, Vol 19, Iss 1, Pp 1-20 (2019)
Background Genomic initiatives such as The Cancer Genome Atlas (TCGA) contain data from -omics profiling of thousands of tumor samples, which may be used to decipher cancer signaling, and related alterations. Managing and analyzing data from large-sc
Autor:
Oliver Lloyd, Gibran Hemani, Valeriia Haberland, Marina Vabistsevits, Matthew Lyon, Yi Liu, Benjamin Elsworth, Tom R. Gaunt, Jie Zheng, Pau Erola
Publikováno v:
Bioinformatics
The wealth of data resources on human phenotypes, risk factors, molecular traits and therapeutic interventions presents new opportunities for population health sciences. These opportunities are paralleled by a growing need for data integration, curat