SwePub
Tyck till om SwePub Sök här!
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Nilsson Erik D) ;spr:eng;lar1:(slu)"

Search: WFRF:(Nilsson Erik D) > English > Swedish University of Agricultural Sciences

  • Result 1-4 of 4
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  •  
3.
  • Truvé, Katarina, et al. (author)
  • Utilizing the Dog Genome in the Search for Novel Candidate Genes Involved in Glioma Development-Genome Wide Association Mapping followed by Targeted Massive Parallel Sequencing Identifies a Strongly Associated Locus
  • 2016
  • In: Plos Genetics. - : Public Library of Science (PLoS). - 1553-7404 .- 1553-7390. ; 12:5
  • Journal article (peer-reviewed)abstract
    • Gliomas are the most common form of malignant primary brain tumors in humans and second most common in dogs, occurring with similar frequencies in both species. Dogs are valuable spontaneous models of human complex diseases including cancers and may provide insight into disease susceptibility and oncogenesis. Several brachycephalic breeds such as Boxer, Bulldog and Boston Terrier have an elevated risk of developing glioma, but others, including Pug and Pekingese, are not at higher risk. To identify glioma-associated genetic susceptibility factors, an across-breed genome-wide association study (GWAS) was performed on 39 dog glioma cases and 141 controls from 25 dog breeds, identifying a genome-wide significant locus on canine chromosome (CFA) 26 (p = 2.8 x 10(-8)). Targeted re-sequencing of the 3.4 Mb candidate region was performed, followed by genotyping of the 56 SNVs that best fit the association pattern between the re-sequenced cases and controls. We identified three candidate genes that were highly associated with glioma susceptibility: CAMKK2, P2RX7 and DENR. CAMKK2 showed reduced expression in both canine and human brain tumors, and a non-synonymous variant in P2RX7, previously demonstrated to have a 50% decrease in receptor function, was also associated with disease. Thus, one or more of these genes appear to affect glioma susceptibility.
  •  
4.
  • De Palma, Adriana, et al. (author)
  • Predicting bee community responses to land-use changes : effects of geographic and taxonomic biases
  • 2016
  • In: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 6, s. 1-14
  • Journal article (peer-reviewed)abstract
    • Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-4 of 4
Type of publication
journal article (4)
Type of content
peer-reviewed (3)
other academic/artistic (1)
Author/Editor
Zhang, Yan (1)
Korhonen, Laura (1)
Lindholm, Dan (1)
Vertessy, Beata G. (1)
Wang, Mei (1)
Wang, Xin (1)
show more...
Liu, Yang (1)
Kumar, Rakesh (1)
Wang, Dong (1)
Li, Ke (1)
Liu, Ke (1)
Zhang, Yang (1)
Nàgy, Péter (1)
Abrahamczyk, Stefan (1)
Kominami, Eiki (1)
van der Goot, F. Gis ... (1)
Pielberg, Gerli (1)
Andersson, Göran (1)
Lindblad-Toh, Kersti ... (1)
Sandblom, Erik, 1978 (1)
Bonaldo, Paolo (1)
Adams, Christopher M (1)
Minucci, Saverio (1)
Vellenga, Edo (1)
Swärd, Karl (1)
Nilsson, Per (1)
De Milito, Angelo (1)
Zhang, Jian (1)
Shukla, Deepak (1)
Kågedal, Katarina (1)
Chen, Guoqiang (1)
Liu, Wei (1)
Cheetham, Michael E. (1)
Sigurdson, Christina ... (1)
Clarke, Robert (1)
Öckinger, Erik (1)
Persson, Anna S. (1)
Zhang, Fan (1)
Gonzalez-Alegre, Ped ... (1)
Franzén, Markus (1)
Jin, Lei (1)
Chen, Qi (1)
Taylor, Mark J. (1)
Nilsson, Sven G (1)
Hedhammar, Åke (1)
Romani, Luigina (1)
Wang, Ying (1)
Kumar, Ashok (1)
Simons, Matias (1)
Ishaq, Mohammad (1)
show less...
University
University of Gothenburg (2)
Stockholm University (2)
Umeå University (1)
Uppsala University (1)
show more...
Linköping University (1)
Linnaeus University (1)
Karolinska Institutet (1)
show less...
Language
Research subject (UKÄ/SCB)
Natural sciences (4)
Medical and Health Sciences (2)
Agricultural Sciences (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view