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Search: WFRF:(Nilsson Peter M.) > Karolinska Institutet

  • Result 1-10 of 191
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  • 2017
  • swepub:Mat__t
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  • Kanai, M, et al. (author)
  • 2023
  • swepub:Mat__t
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  • 2019
  • Journal article (peer-reviewed)
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  • Loza, M. J., et al. (author)
  • Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study
  • 2016
  • In: Respiratory Research. - : Springer Nature. - 1465-9921 .- 1465-993X. ; 17:1
  • Journal article (peer-reviewed)abstract
    • Background: Asthma is a disease of varying severity and differing disease mechanisms. To date, studies aimed at stratifying asthma into clinically useful phenotypes have produced a number of phenotypes that have yet to be assessed for stability and to be validated in independent cohorts. The aim of this study was to define and validate, for the first time ever, clinically driven asthma phenotypes using two independent, severe asthma cohorts: ADEPT and U-BIOPRED. Methods: Fuzzy partition-around-medoid clustering was performed on pre-specified data from the ADEPT participants (n = 156) and independently on data from a subset of U-BIOPRED asthma participants (n = 82) for whom the same variables were available. Models for cluster classification probabilities were derived and applied to the 12-month longitudinal ADEPT data and to a larger subset of the U-BIOPRED asthma dataset (n = 397). High and low type-2 inflammation phenotypes were defined as high or low Th2 activity, indicated by endobronchial biopsies gene expression changes downstream of IL-4 or IL-13. Results: Four phenotypes were identified in the ADEPT (training) cohort, with distinct clinical and biomarker profiles. Phenotype 1 was "mild, good lung function, early onset", with a low-inflammatory, predominantly Type-2, phenotype. Phenotype 2 had a "moderate, hyper-responsive, eosinophilic" phenotype, with moderate asthma control, mild airflow obstruction and predominant Type-2 inflammation. Phenotype 3 had a "mixed severity, predominantly fixed obstructive, non-eosinophilic and neutrophilic" phenotype, with moderate asthma control and low Type-2 inflammation. Phenotype 4 had a "severe uncontrolled, severe reversible obstruction, mixed granulocytic" phenotype, with moderate Type-2 inflammation. These phenotypes had good longitudinal stability in the ADEPT cohort. They were reproduced and demonstrated high classification probability in two subsets of the U-BIOPRED asthma cohort. Conclusions: Focusing on the biology of the four clinical independently-validated easy-to-assess ADEPT asthma phenotypes will help understanding the unmet need and will aid in developing tailored therapies. Trial registration:NCT01274507(ADEPT), registered October 28, 2010 and NCT01982162(U-BIOPRED), registered October 30, 2013.
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  • Thompson, Paul M., et al. (author)
  • The ENIGMA Consortium : large-scale collaborative analyses of neuroimaging and genetic data
  • 2014
  • In: BRAIN IMAGING BEHAV. - : Springer Science and Business Media LLC. - 1931-7557 .- 1931-7565. ; 8:2, s. 153-182
  • Journal article (peer-reviewed)abstract
    • The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.
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  • Result 1-10 of 191
Type of publication
journal article (187)
research review (2)
Type of content
peer-reviewed (170)
other academic/artistic (19)
Author/Editor
Nilsson, Peter (87)
Nilsson, Peter M (41)
Schwenk, Jochen M. (32)
Uhlén, Mathias (31)
Melander, Olle (16)
Olsson, T (15)
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Lind, Lars (14)
Engström, Gunnar (12)
Groop, Leif (12)
Lyssenko, Valeriya (10)
Pedersen, Nancy L (10)
Ayoglu, Burcu (10)
Pontén, Fredrik (9)
Boeing, Heiner (9)
Piehl, F (9)
Khademi, M. (9)
Weiderpass, Elisabet ... (9)
Panico, Salvatore (9)
Orho-Melander, Marju (9)
Hamsten, Anders (9)
Palli, Domenico (8)
Wareham, Nicholas J. (8)
Ingelsson, Erik (8)
Riboli, Elio (7)
Rolandsson, Olov (7)
Hillert, J (7)
Hellström, Cecilia (7)
Fagerberg, Linn (7)
Almgren, Peter (7)
Pin, Elisa (7)
Hong, Mun-Gwan (7)
Lycke, J (7)
Fredolini, Claudia (7)
Tegel, Hanna (7)
Nilsson, P. (6)
Overvad, Kim (6)
Tumino, Rosario (6)
von Feilitzen, Kalle (6)
Lindskog, Cecilia (6)
Franks, Paul W. (6)
McCarthy, Mark I (6)
Gieger, Christian (6)
Månberg, Anna, 1985- (6)
Svenningsson, A (6)
Gunnarsson, M (6)
Burman, J. (6)
Loos, Ruth J F (6)
van der Schouw, Yvon ... (6)
Häggmark, Anna (6)
Lindgren, Cecilia M. (6)
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University
Karolinska Institutet  (191)Undo refine
Lund University (90)
Royal Institute of Technology (71)
Uppsala University (60)
Umeå University (51)
University of Gothenburg (36)
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Linköping University (25)
Stockholm University (16)
Malmö University (7)
Chalmers University of Technology (4)
Örebro University (3)
Högskolan Dalarna (3)
Swedish University of Agricultural Sciences (3)
Halmstad University (2)
Jönköping University (2)
University of Skövde (1)
Linnaeus University (1)
RISE (1)
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Language
English (188)
Swedish (3)
Research subject (UKÄ/SCB)
Medical and Health Sciences (166)
Natural sciences (33)
Engineering and Technology (2)
Social Sciences (2)

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