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Träfflista för sökning "WFRF:(Georges J) "

Search: WFRF:(Georges J)

  • Result 1-10 of 96
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1.
  • Aad, G., et al. (author)
  • 2013
  • In: The European Physical Journal C. - : Springer Science and Business Media LLC. - 1434-6052. ; 73:3
  • Journal article (peer-reviewed)
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2.
  • Kanai, M, et al. (author)
  • 2023
  • swepub:Mat__t
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3.
  • Niemi, MEK, et al. (author)
  • 2021
  • swepub:Mat__t
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6.
  • Thomas, H. J. D., et al. (author)
  • Global plant trait relationships extend to the climatic extremes of the tundra biome
  • 2020
  • In: Nature Communications. - : Nature Publishing Group. - 2041-1723. ; 11:1
  • Journal article (peer-reviewed)abstract
    • The majority of variation in six traits critical to the growth, survival and reproduction of plant species is thought to be organised along just two dimensions, corresponding to strategies of plant size and resource acquisition. However, it is unknown whether global plant trait relationships extend to climatic extremes, and if these interspecific relationships are confounded by trait variation within species. We test whether trait relationships extend to the cold extremes of life on Earth using the largest database of tundra plant traits yet compiled. We show that tundra plants demonstrate remarkably similar resource economic traits, but not size traits, compared to global distributions, and exhibit the same two dimensions of trait variation. Three quarters of trait variation occurs among species, mirroring global estimates of interspecific trait variation. Plant trait relationships are thus generalizable to the edge of global trait-space, informing prediction of plant community change in a warming world.
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7.
  • Abbafati, Cristiana, et al. (author)
  • 2020
  • Journal article (peer-reviewed)
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8.
  • Romagnoni, A, et al. (author)
  • Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
  • 2019
  • In: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 9:1, s. 10351-
  • Journal article (peer-reviewed)abstract
    • Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers.
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9.
  • Ademuyiwa, Adesoji O., et al. (author)
  • Determinants of morbidity and mortality following emergency abdominal surgery in children in low-income and middle-income countries
  • 2016
  • In: BMJ Global Health. - : BMJ Publishing Group Ltd. - 2059-7908. ; 1:4
  • Journal article (peer-reviewed)abstract
    • Background: Child health is a key priority on the global health agenda, yet the provision of essential and emergency surgery in children is patchy in resource-poor regions. This study was aimed to determine the mortality risk for emergency abdominal paediatric surgery in low-income countries globally.Methods: Multicentre, international, prospective, cohort study. Self-selected surgical units performing emergency abdominal surgery submitted prespecified data for consecutive children aged <16 years during a 2-week period between July and December 2014. The United Nation's Human Development Index (HDI) was used to stratify countries. The main outcome measure was 30-day postoperative mortality, analysed by multilevel logistic regression.Results: This study included 1409 patients from 253 centres in 43 countries; 282 children were under 2 years of age. Among them, 265 (18.8%) were from low-HDI, 450 (31.9%) from middle-HDI and 694 (49.3%) from high-HDI countries. The most common operations performed were appendectomy, small bowel resection, pyloromyotomy and correction of intussusception. After adjustment for patient and hospital risk factors, child mortality at 30 days was significantly higher in low-HDI (adjusted OR 7.14 (95% CI 2.52 to 20.23), p<0.001) and middle-HDI (4.42 (1.44 to 13.56), p=0.009) countries compared with high-HDI countries, translating to 40 excess deaths per 1000 procedures performed.Conclusions: Adjusted mortality in children following emergency abdominal surgery may be as high as 7 times greater in low-HDI and middle-HDI countries compared with high-HDI countries. Effective provision of emergency essential surgery should be a key priority for global child health agendas.
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10.
  • Momozawa, Y, et al. (author)
  • IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes
  • 2018
  • In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 9:1, s. 2427-
  • Journal article (peer-reviewed)abstract
    • GWAS have identified >200 risk loci for Inflammatory Bowel Disease (IBD). The majority of disease associations are known to be driven by regulatory variants. To identify the putative causative genes that are perturbed by these variants, we generate a large transcriptome data set (nine disease-relevant cell types) and identify 23,650 cis-eQTL. We show that these are determined by ∼9720 regulatory modules, of which ∼3000 operate in multiple tissues and ∼970 on multiple genes. We identify regulatory modules that drive the disease association for 63 of the 200 risk loci, and show that these are enriched in multigenic modules. Based on these analyses, we resequence 45 of the corresponding 100 candidate genes in 6600 Crohn disease (CD) cases and 5500 controls, and show with burden tests that they include likely causative genes. Our analyses indicate that ≥10-fold larger sample sizes will be required to demonstrate the causality of individual genes using this approach.
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  • Result 1-10 of 96
Type of publication
journal article (84)
conference paper (6)
research review (3)
book chapter (1)
Type of content
peer-reviewed (88)
other academic/artistic (6)
Author/Editor
Georges, M (14)
Daly, MJ (9)
Winblad, B (8)
D'Amato, M (8)
Franke, A (7)
Cho, JH (7)
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Karlsen, TH (6)
Halfvarson, Jonas, 1 ... (6)
Satsangi, J (6)
Dubois, B (6)
Schreiber, S (6)
Vermeire, S. (6)
Goyette, P (6)
Latiano, A (6)
Franke, L (6)
Haritunians, T (6)
Louis, E (6)
Palmieri, O (6)
Mathew, CG (6)
Barrett, JC (6)
Parkes, M (6)
Brayne, C (5)
Ahmad, T (5)
Wijmenga, C (5)
Montgomery, GW (5)
Torrents, D (5)
Visser, PJ (5)
Silverberg, MS (5)
Anderson, CA (5)
Weersma, RK (5)
Laukens, D (5)
Altomare, D (5)
Scheltens, P (5)
Hakonarson, H (5)
Boucher, G (5)
Lees, CW (5)
Baidoo, L (5)
Edwards, C (5)
Franchimont, D (5)
Mowat, C (5)
Ng, A (5)
Newman, W (5)
Prescott, NJ (5)
Sharma, Y (5)
Simms, LA (5)
Xavier, RJ (5)
Andersen, V (5)
Gearry, R (5)
Brant, SR (5)
Radford-Smith, G (5)
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University
Karolinska Institutet (48)
Lund University (24)
University of Gothenburg (13)
Uppsala University (9)
Umeå University (8)
Örebro University (8)
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Stockholm University (7)
Linköping University (5)
Royal Institute of Technology (4)
Swedish University of Agricultural Sciences (4)
Chalmers University of Technology (3)
Luleå University of Technology (1)
Halmstad University (1)
Jönköping University (1)
Stockholm School of Economics (1)
Högskolan Dalarna (1)
Red Cross University College (1)
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Language
English (96)
Research subject (UKÄ/SCB)
Medical and Health Sciences (32)
Natural sciences (31)
Engineering and Technology (4)
Social Sciences (2)

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