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Sökning: WFRF:(Heinrich Mattias)

  • Resultat 1-50 av 168
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  • Brenner, Darren R, et al. (författare)
  • Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia
  • 2015
  • Ingår i: Carcinogenesis. - : Oxford University Press. - 0143-3334 .- 1460-2180. ; 36:11, s. 1314-1326
  • Tidskriftsartikel (refereegranskat)abstract
    • Large-scale genome-wide association studies (GWAS) have likely uncovered all common variants at the GWAS significance level. Additional variants within the suggestive range (0.0001> P > 5×10−8) are, however, still of interest for identifying causal associations. This analysis aimed to apply novel variant prioritization approaches to identify additional lung cancer variants that may not reach the GWAS level. Effects were combined across studies with a total of 33456 controls and 6756 adenocarcinoma (AC; 13 studies), 5061 squamous cell carcinoma (SCC; 12 studies) and 2216 small cell lung cancer cases (9 studies). Based on prior information such as variant physical properties and functional significance, we applied stratified false discovery rates, hierarchical modeling and Bayesian false discovery probabilities for variant prioritization. We conducted a fine mapping analysis as validation of our methods by examining top-ranking novel variants in six independent populations with a total of 3128 cases and 2966 controls. Three novel loci in the suggestive range were identified based on our Bayesian framework analyses: KCNIP4 at 4p15.2 (rs6448050, P = 4.6×10−7) and MTMR2 at 11q21 (rs10501831, P = 3.1×10−6) with SCC, as well as GAREM at 18q12.1 (rs11662168, P = 3.4×10−7) with AC. Use of our prioritization methods validated two of the top three loci associated with SCC (P = 1.05×10−4 for KCNIP4, represented by rs9799795) and AC (P = 2.16×10−4 for GAREM, represented by rs3786309) in the independent fine mapping populations. This study highlights the utility of using prior functional data for sequence variants in prioritization analyses to search for robust signals in the suggestive range.
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  • Brodd, Birgitta, 1948- (författare)
  • Ärkebiskop Erling Eidem i kyrkostrid och världskrig : En studie i förhållningssättet till Tyskland under andra världskriget med beaktande av de svensk-engelska kyrkorelationerna 1933–1945 belyst genom tre utrikesdepartement
  • 2017
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • This Study is concentrated on the Swedish Archbishop Erling Eidem during the German Church Struggle and the Second World War. Sweden was a neutral Country and Eidem did not want to do something that wasn’t congenial with the Swedish State. He has been criticized for being a by-stander when he was expected to be an activist. Something like that was impossible for Eidem who strongly believed in the Lutheran Doctrine of the two Regiments. His Way was to use a personal Approach and two work in a silent and quiet Way. This tactic caused a lot of criticism but Eidem was persisted in his way of handling especially the Questions concerning the German Church Struggle. His tactic was successful when it came to Contacts with the German Reichsbischof Ludwig Müller since he could get him to stop the Arian Paragraph. Eidem was also very keen on stopping Müller from getting Apostolic Succession. His audience with Adolf Hitler did not go well. He was forced to meet the Reichskanzler. The ecumenical Movement worked for the necessity to go through with that task and Bishop Bell in Chichester had refused. Eidem and Bell became good friends throughout the whole War. Eidem also had a good Friend in Birger Forell who worked as a Chaplain in the Swedish Church i Berlin. Forell was very occupied with the so called Bekenntniskirche and its members. With Eidem´s good Memory he arranged meetings with them in the Swedish Church-House, sometimes with Eidem present. Forell also worked with rescuing Jews and gave them Shelter in the Church-House. Eidem agreed to that arrangement. Eidems Wish was Peace and Reconciliation and he often told about the Common Guild. Eidem also had a mystique side and was very influenced by S:t Paul. The Archbishops pile of Work caused fatigue and depressions which meant that he now and then had to go on sick-leave.This Study is the first of its kind that has taken Eidem´s theological Position in account when writing about him in his Work with the German Church-Struggle and what he himself judged to be possible to do during World War two. As such it will alter the Picture of Archbishop Erling Eidem. 
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  • Jimenez-del-Toro, Oscar, et al. (författare)
  • Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms : VISCERAL Anatomy Benchmarks
  • 2016
  • Ingår i: IEEE Transactions on Medical Imaging. - : Institute of Electrical and Electronics Engineers (IEEE). - 0278-0062 .- 1558-254X. ; 35:11, s. 2459-2475
  • Tidskriftsartikel (refereegranskat)abstract
    • Variations in the shape and appearance of anatomical structures in medical images are often relevant radiological signs of disease. Automatic tools can help automate parts of this manual process. A cloud-based evaluation framework is presented in this paper including results of benchmarking current state-of-the-art medical imaging algorithms for anatomical structure segmentation and landmark detection: the VISCERAL Anatomy benchmarks. The algorithms are implemented in virtual machines in the cloud where participants can only access the training data and can be run privately by the benchmark administrators to objectively compare their performance in an unseen common test set. Overall, 120 computed tomography and magnetic resonance patient volumes were manually annotated to create a standard Gold Corpus containing a total of 1295 structures and 1760 landmarks. Ten participants contributed with automatic algorithms for the organ segmentation task, and three for the landmark localization task. Different algorithms obtained the best scores in the four available imaging modalities and for subsets of anatomical structures. The annotation framework, resulting data set, evaluation setup, results and performance analysis from the three VISCERAL Anatomy benchmarks are presented in this article. Both the VISCERAL data set and Silver Corpus generated with the fusion of the participant algorithms on a larger set of non-manually-annotated medical images are available to the research community.
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  • Kokkinou, Efthymia, et al. (författare)
  • The single-cell transcriptional landscape of innate and adaptive lymphocytes in pediatric-onset colitis
  • 2023
  • Ingår i: Cell reports medicine. - 2666-3791. ; 4:5
  • Tidskriftsartikel (refereegranskat)abstract
    • Innate lymphoid cells (ILCs) are considered innate counterparts of adaptive T cells; however, their common and unique transcriptional signatures in pediatric inflammatory bowel disease (pIBD) are largely unknown. Here, we report a dysregulated colonic ILC composition in pIBD colitis that correlates with inflammatory ac-tivity, including accumulation of naive-like CD45RA+CD62L- ILCs. Weighted gene co-expression network analysis (WGCNA) reveals modules of genes that are shared or unique across innate and adaptive lympho-cytes. Shared modules include genes associated with activation/tissue residency, naivety/quiescence, and antigen presentation. Lastly, nearest-neighbor-based analysis facilitates the identification of most in-flamedand least inflamedlymphocytes in pIBD colon with unique transcriptional signatures. Our study reveals shared and unique transcriptional signatures of colonic ILCs and T cells in pIBD. We also provide insight into the transcriptional regulation of colonic inflammation, deepening our understanding of the poten-tial mechanisms involved in pIBD.
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  • Maier, O., et al. (författare)
  • ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
  • 2017
  • Ingår i: Medical Image Analysis. - : Elsevier BV. - 1361-8415 .- 1361-8423. ; 35, s. 250-269
  • Tidskriftsartikel (refereegranskat)abstract
    • Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment, and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from magnetic resonance imaging (MRI) volumes are intensely researched, but the reported results are largely incomparable due to different datasets and evaluation schemes. We approached this urgent problem of comparability with the Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference. In this paper we propose a common evaluation framework, describe the publicly available datasets, and present the results of the two sub-challenges: Sub-Acute Stroke Lesion Segmentation (SISS) and Stroke Perfusion Estimation (SPES). A total of 16 research groups participated with a wide range of state-of-the-art automatic segmentation algorithms. A thorough analysis of the obtained data enables a critical evaluation of the current state-of-the-art, recommendations for further developments, and the identification of remaining challenges. The segmentation of acute perfusion lesions addressed in SPES was found to be feasible. However, algorithms applied to sub-acute lesion segmentation in SISS still lack accuracy. Overall, no algorithmic characteristic of any method was found to perform superior to the others. Instead, the characteristics of stroke lesion appearances, their evolution, and the observed challenges should be studied in detail. The annotated ISLES image datasets continue to be publicly available through an online evaluation system to serve as an ongoing benchmarking resource (www.isles-challenge.org).
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