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Träfflista för sökning "WFRF:(McCauley N.) "

Search: WFRF:(McCauley N.)

  • Result 1-10 of 35
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1.
  • Mishra, A., et al. (author)
  • Stroke genetics informs drug discovery and risk prediction across ancestries
  • 2022
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 611, s. 115-123
  • Journal article (peer-reviewed)abstract
    • Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
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2.
  • Abe, K., et al. (author)
  • J-PARC Neutrino Beamline Upgrade Technical Design Report
  • 2019
  • Reports (peer-reviewed)abstract
    • In this document, technical details of the upgrade plan of the J-PARC neutrino beamline for the extension of the T2K experiment are described. T2K has proposed to accumulate data corresponding to 2×1022 protons-on-target in the next decade, aiming at an initial observation of CP violation with 3σ or higher significance in the case of maximal CP violation. Methods to increase the neutrino beam intensity, which are necessary to achieve the proposed data increase, are described.
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3.
  • Abe, K., et al. (author)
  • Neutron tagging following atmospheric neutrino events in a water Cherenkov detector
  • 2022
  • In: Journal of Instrumentation. - : Institute of Physics (IOP). - 1748-0221. ; 17:10
  • Journal article (peer-reviewed)abstract
    • We present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimated to be 26%, with a mis-tag rate of 0.016 per neutrino event. The uncertainty of the tagging efficiency is estimated to be 9.0%. Measurement of the tagging efficiency with data from an Americium-Beryllium calibration agrees with this value within 10%. The tagging procedure was performed on 3,244.4 days of SK-IV atmospheric neutrino data, identifying 18,091 neutrons in 26,473 neutrino events. The fitted neutron capture lifetime was measured as 218 +/- 9 mu s.
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  • Result 1-10 of 35
Type of publication
journal article (30)
conference paper (3)
reports (1)
research review (1)
Type of content
peer-reviewed (28)
other academic/artistic (7)
Author/Editor
Hasegawa, Y. (5)
Kolanoski, H. (5)
Sander, H. G. (5)
Wagner, W. (5)
Burgess, T. (5)
Bohm, C. (5)
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Boeser, S. (5)
Bai, X. (5)
Beattie, K. (5)
Landsman, H. (5)
Rizzo, A. (5)
Van Eijndhoven, N. (5)
Schlenstedt, S. (5)
Ackermann, M. (5)
Adams, J. (5)
Barwick, S. W. (5)
Bay, R. (5)
Berghaus, P. (5)
Berley, D. (5)
Bernardini, E. (5)
Besson, D. Z. (5)
Blaufuss, E. (5)
Braun, J. (5)
Christy, B. (5)
Cowen, D. F. (5)
De Clercq, C. (5)
Desiati, P. (5)
DeYoung, T. (5)
Diaz-Velez, J. C. (5)
Fadiran, O. (5)
Fazely, A. R. (5)
Filimonov, K. (5)
Gaisser, T. K. (5)
Gallagher, J. (5)
Gerhardt, L. (5)
Goldschmidt, A. (5)
Goodman, J. A. (5)
Halzen, F. (5)
Hanson, K. (5)
Helbing, K. (5)
Hill, G. C. (5)
Hoffman, K. D. (5)
Hoshina, K. (5)
Hultqvist, K. (5)
Ishihara, A. (5)
Japaridze, G. S. (5)
Karle, A. (5)
Kelley, J. L. (5)
Klein, S. R. (5)
Kohnen, G. (5)
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University
Karolinska Institutet (18)
Uppsala University (11)
University of Gothenburg (5)
Lund University (4)
Linköping University (3)
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Stockholm University (2)
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Umeå University (1)
Royal Institute of Technology (1)
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Chalmers University of Technology (1)
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Language
English (35)
Research subject (UKÄ/SCB)
Natural sciences (14)
Medical and Health Sciences (9)
Social Sciences (4)
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