Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Paul J Newcombe"'
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background Hi-C and capture Hi-C (CHi-C) are used to map physical contacts between chromatin regions in cell nuclei using high-throughput sequencing. Analysis typically proceeds considering the evidence for contacts between each possible pai
Externí odkaz:
https://doaj.org/article/9e2fffbedae542648467d69bfff083cd
Autor:
James E Peters, Paul A Lyons, James C Lee, Arianne C Richard, Mary D Fortune, Paul J Newcombe, Sylvia Richardson, Kenneth G C Smith
Publikováno v:
PLoS Genetics, Vol 12, Iss 3, p e1005908 (2016)
Genome-wide association studies (GWAS) have transformed our understanding of the genetics of complex traits such as autoimmune diseases, but how risk variants contribute to pathogenesis remains largely unknown. Identifying genetic variants that affec
Externí odkaz:
https://doaj.org/article/9f697d5620c9410faac765cfc47510cf
Supplementary methods, figures and tables Table S3: Fractional polynomial functions for age at diagnosis (years), tumour size (mm), number of positive nodes, tumour grade (I, II, III) and mode of detection (screening vs clinical) by ER status (positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::666e084b0751b795562bb147d8ab7fa4
https://doi.org/10.1158/1078-0432.22470260.v1
https://doi.org/10.1158/1078-0432.22470260.v1
Autor:
Jiayi Shen, Lai Jiang, Kan Wang, Anqi Wang, Fei Chen, Paul J. Newcombe, Christopher A. Haiman, David V. Conti
Recent advancement in Genome-wide Association Studies (GWAS) comes from not only increasingly larger sample sizes but also the shifted focus towards underrepresented populations. Multi-population GWAS may increase power to detect novel risk variants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29ef206d64e7e28077aa9007852388d9
https://doi.org/10.1101/2022.12.22.521659
https://doi.org/10.1101/2022.12.22.521659
Publikováno v:
Biostatistics 24(1), 85-107 (2022). doi:10.1093/biostatistics/kxab023
Biostatistics
Karapanagiotis, S, Benedetto, U, Mukherjee, S, Kirk, P D W & Newcombe, P J 2021, ' Tailored Bayes : a risk modeling framework under unequal misclassification costs ', Biostatistics . https://doi.org/10.1093/biostatistics/kxab023
Biostatistics
Karapanagiotis, S, Benedetto, U, Mukherjee, S, Kirk, P D W & Newcombe, P J 2021, ' Tailored Bayes : a risk modeling framework under unequal misclassification costs ', Biostatistics . https://doi.org/10.1093/biostatistics/kxab023
Summary Risk prediction models are a crucial tool in healthcare. Risk prediction models with a binary outcome (i.e., binary classification models) are often constructed using methodology which assumes the costs of different classification errors are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d5414939b7e3c4c6596c530d30e58fb
https://www.repository.cam.ac.uk/handle/1810/326927
https://www.repository.cam.ac.uk/handle/1810/326927
Publikováno v:
Gkatzionis, A, Burgess, S, Conti, D V & Newcombe, P J 2021, ' Bayesian variable selection with a pleiotropic loss function in Mendelian randomization ', Statistics in Medicine, vol. 40, no. 23, pp. 5025-5045 . https://doi.org/10.1002/sim.9109
Mendelian randomization is the use of genetic variants as instruments to assess the existence of a causal relationship between a risk factor and an outcome. A Mendelian randomization analysis requires a set of genetic variants that are strongly assoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99ae3f4fbcbb6049716f41338295dbe1
https://doi.org/10.1002/sim.9109
https://doi.org/10.1002/sim.9109
Publikováno v:
Biometrics. 78:141-150
High-dimensional biomarkers such as genomics are increasingly being measured in randomized clinical trials. Consequently, there is a growing interest in developing methods that improve the power to detect biomarker-treatment interactions. We adapt re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85d2a58739cd1df56e2d0b03ea06c197
https://doi.org/10.1111/biom.13424
https://doi.org/10.1111/biom.13424
Autor:
Pavel Strnad, Jane I. Grove, Robert D. Goldin, Stuart Astbury, Stephen R. Atkinson, Heike Bantel, Nikhil Vergis, Indra Neil Guha, Paul J. Newcombe, Mark Thursz, Stephanie Liebig, Guruprasad P. Aithal, Alberto Quaglia
Publikováno v:
American Journal of Gastroenterology. 115:1857-1868
Introduction Up to 40% of patients with severe alcoholic hepatitis (AH) die within 6 months of presentation, making prompt diagnosis and appropriate treatment essential. We determined the associations between serum keratin-18 (K18) and histological f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65e6d9ef5c40659d0cadd870bb63a603
https://doi.org/10.14309/ajg.0000000000000912
https://doi.org/10.14309/ajg.0000000000000912
Autor:
Paul J. Newcombe, Jennifer L. Asimit, Hernandez N, J Soenksen, Inês Barroso, Chris Wallace, Manjinder S Sandhu
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Funder: “Expanding excellence in England” award from Research England
Joint fine-mapping that leverages information between quantitative traits could improve accuracy and resolution over single-trait fine-mapping. Using summary statistics, f
Joint fine-mapping that leverages information between quantitative traits could improve accuracy and resolution over single-trait fine-mapping. Using summary statistics, f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a3e6afc60165daf4f18b9cad4596be
https://doi.org/10.1038/s41467-021-26364-y
https://doi.org/10.1038/s41467-021-26364-y
Autor:
Paul J. Newcombe, Frank Dudbridge
Publikováno v:
Handbook of Statistical Genomics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17e79a3ce0e098e337b70a326981c24
https://doi.org/10.1002/9781119487845.ch22
https://doi.org/10.1002/9781119487845.ch22