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Träfflista för sökning "(WFRF:(Jenkins M)) srt2:(2020-2024)"

Search: (WFRF:(Jenkins M)) > (2020-2024)

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1.
  • Niemi, MEK, et al. (author)
  • 2021
  • swepub:Mat__t
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2.
  • Tabiri, S, et al. (author)
  • 2021
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3.
  • Bravo, L, et al. (author)
  • 2021
  • swepub:Mat__t
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4.
  • 2021
  • swepub:Mat__t
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5.
  • Kanai, M, et al. (author)
  • 2023
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7.
  • 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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9.
  • 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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10.
  • Barausse, Enrico, et al. (author)
  • Prospects for fundamental physics with LISA
  • 2020
  • In: General Relativity and Gravitation. - : SPRINGER/PLENUM PUBLISHERS. - 0001-7701 .- 1572-9532. ; 52:8
  • Journal article (other academic/artistic)abstract
    • In this paper, which is of programmatic rather than quantitative nature, we aim to further delineate and sharpen the future potential of the LISA mission in the area of fundamental physics. Given the very broad range of topics that might be relevant to LISA,we present here a sample of what we view as particularly promising fundamental physics directions. We organize these directions through a "science-first" approach that allows us to classify how LISA data can inform theoretical physics in a variety of areas. For each of these theoretical physics classes, we identify the sources that are currently expected to provide the principal contribution to our knowledge, and the areas that need further development. The classification presented here should not be thought of as cast in stone, but rather as a fluid framework that is amenable to change with the flow of new insights in theoretical physics.
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  • Result 1-10 of 176
Type of publication
journal article (153)
conference paper (11)
research review (6)
book (1)
Type of content
peer-reviewed (163)
other academic/artistic (8)
Author/Editor
Gruber, Stephen B. (24)
Jenkins, Mark A. (24)
Moreno, Victor (24)
Newcomb, Polly A. (24)
Peters, Ulrike (24)
Berndt, Sonja I (23)
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Gunter, Marc J. (23)
Hoffmeister, Michael (23)
Chang-Claude, Jenny (22)
Brenner, Hermann (22)
Chan, Andrew T. (22)
van Guelpen, Bethany (22)
Wolk, Alicja (21)
Casey, Graham (20)
Huyghe, Jeroen R. (20)
Li, Li (20)
Murphy, Neil (20)
White, Emily (20)
Woods, Michael O. (20)
Hsu, Li (20)
Duran, I (19)
Ulrich, Cornelia M. (19)
Cerutti, F. (18)
Mastromarco, M. (18)
Martinez, T (18)
Andrzejewski, J (18)
Calvino, F (18)
Cano-Ott, D (18)
Chiaveri, E (18)
Colonna, N (18)
Cortes, G (18)
Domingo-Pardo, C (18)
Gonzalez-Romero, E (18)
Gunsing, F (18)
Jericha, E (18)
Mengoni, A (18)
Milazzo, P M (18)
Quesada, J M (18)
Reifarth, R (18)
Rubbia, C (18)
Tagliente, G (18)
Vaz, P (18)
Vlachoudis, V (18)
Giles, Graham G (18)
Figueiredo, Jane C. (18)
Rennert, Gad (18)
Sakoda, Lori C. (18)
Schoen, Robert E. (18)
Slattery, Martha L. (18)
Wu, Anna H. (18)
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University
Karolinska Institutet (56)
Chalmers University of Technology (52)
Uppsala University (44)
Lund University (31)
Umeå University (30)
University of Gothenburg (16)
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Stockholm University (12)
Royal Institute of Technology (8)
Linköping University (3)
Swedish University of Agricultural Sciences (2)
Luleå University of Technology (1)
University West (1)
Örebro University (1)
Jönköping University (1)
Mid Sweden University (1)
RISE (1)
Karlstad University (1)
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Language
English (176)
Research subject (UKÄ/SCB)
Natural sciences (90)
Medical and Health Sciences (57)
Engineering and Technology (11)
Social Sciences (2)

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