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7 results on '"Falk, Bose"'

1. Large case-control study indicates no association of KIR genotype and risk of developing acute myeloid leukemia

Author

Heidenreich, Falk, Falk, Bose, Baldauf, Henning, Massalski, Carolin, Schäfer, Gesine, Rücker-Braun, Elke, Altmann, Heidi, Sauter, Jürgen, Solloch, Ute V., Lange, Vinzenz, Stölzel, Friedrich, Röllig, Christoph, Middeke, Jan M., von Bonin, Malte, Thiede, Christian, Schäfer-Eckart, Kerstin, Müller-Tidow, Carsten, Krause, Stefan W., Kraus, Sabrina, Kaufmann, Martin, Hänel, Mathias, Serve, Hubert, Neubauer, Andreas, Bornhäuser, Martin, Schmidt, Alexander H., and Schetelig, Johannes

Published
2023
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2. Large case-control study indicates no association of KIRgenotype and risk of developing acute myeloid leukemia

Author

Heidenreich, Falk, Falk, Bose, Baldauf, Henning, Massalski, Carolin, Schäfer, Gesine, Rücker-Braun, Elke, Altmann, Heidi, Sauter, Jürgen, Solloch, Ute V., Lange, Vinzenz, Stölzel, Friedrich, Röllig, Christoph, Middeke, Jan M., von Bonin, Malte, Thiede, Christian, Schäfer-Eckart, Kerstin, Müller-Tidow, Carsten, Krause, Stefan W., Kraus, Sabrina, Kaufmann, Martin, Hänel, Mathias, Serve, Hubert, Neubauer, Andreas, Bornhäuser, Martin, Schmidt, Alexander H., and Schetelig, Johannes

Abstract

•This large case-control study reveals no differences in the KIRand KIR-ligand genotype frequencies among patients with and without AML.•Results suggest steady-state KIR-mediated NK cell immunity does not define risk of AML, and NK immunity is disarmed as leukemic clones grow.

Published
2023
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3. Individual HLA-A, -B, -C, and -DRB1 Genotypes Are No Major Factors Which Determine COVID-19 Severity

Author

Schetelig, Johannes, Heidenreich, Falk, Baldauf, Henning, Trost, Sarah, Falk, Bose, Hoßbach, Christian, Real, Ruben, Roers, Axel, Lindemann, Dirk, Dalpke, Alexander, Kolditz, Martin, de With, Katja, Bornhäuser, Martin, Bonifacio, Ezio E., Rücker-Braun, Elke, Lange, Vinzenz, Markert, Jan, Barth, Ralf, Hofmann, Jan A., Sauter, Jürgen, Bernas, Stefanie N., and Schmidt, Alexander H.

Subjects
Adult, Male, Genotype, in silico prediction, SARS-CoV-2, Histocompatibility Antigens Class I, Immunology, T-cell epitopes, Histocompatibility Antigens Class II, Epitopes, T-Lymphocyte, Middle Aged, HLA, immunogenetics, Cross-Sectional Studies, Spike Glycoprotein, Coronavirus, Humans, Immunology and Allergy, Computer Simulation, Female, Coronavirus Infections, Original Research
Abstract

HLA molecules are key restrictive elements to present intracellular antigens at the crossroads of an effective T-cell response against SARS-CoV-2. To determine the impact of the HLA genotype on the severity of SARS-CoV-2 courses, we investigated data from 6,919 infected individuals. HLA-A, -B, and -DRB1 allotypes grouped into HLA supertypes by functional or predicted structural similarities of the peptide-binding grooves did not predict COVID-19 severity. Further, we did not observe a heterozygote advantage or a benefit from HLA diplotypes with more divergent physicochemical peptide-binding properties. Finally, numbers of in silico predicted viral T-cell epitopes did not correlate with the severity of SARS-CoV-2 infections. These findings suggest that the HLA genotype is no major factor determining COVID-19 severity. Moreover, our data suggest that the spike glycoprotein alone may allow for abundant T-cell epitopes to mount robust T-cell responses not limited by the HLA genotype.

Published
2021
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4. MAIT Cell Frequencies within PBSC Grafts Are Associated with Donor CMV Serostatus and Age: An Initial Analysis from the DKMS and NMDP Graft Composition Study

Author

MacMillan, Hugh R., Minderman, Hans, Spahn, Ashley, Maguire, Orla, Rücker-Braun, Elke, Falk, Bose, Baldauf, Henning, Uhlemann, Heike, Heymann, Nicole, Heiduschke, Lisa, O'Loughlin, Kieran L., Schmidt, Alexander H., Devine, Steven M., Auletta, Jeffery J., Heidenreich, Falk, Feinberg, Jay, Pham, Huy, van den Brink, Marcel R.M., Newell, Evan W., Schetelig, Johannes, Spellman, Stephen R., and Markey, Kate A.

Published
2023
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5. Cryopreservation Changes the Immune Effector Cell Composition of Peripheral Blood Stem Cell Grafts: An Analysis from the DKMS and NMDP Graft Composition Study

Author

Rücker-Braun, Elke, Falk, Bose, Markey, Kate A., Minderman, Hans, Baldauf, Henning, Heymann, Nicole, Uhlemann, Heike, Heiduschke, Lisa, MacMillan, Hugh R., Newell, Evan W., O'Loughlin, Kieran L., Spahn, Ashley, Maguire, Orla, Buk, Deborah, Bornhäuser, Martin, Schmidt, Alexander H., Devine, Steven M., Schetelig, Johannes, Auletta, Jeffery J., van den Brink, Marcel R.M., Spellman, Stephen R., and Heidenreich, Falk

Published
2023
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6. A Generalized Confidence Interval approach to comparing log-normal means, with application

Author

Zhang, Guyoi, Guoyi Zhang, Yan Lu, Michael D. Sonksen, Falk, Bose, Zhang, Guyoi, Guoyi Zhang, Yan Lu, Michael D. Sonksen, and Falk, Bose

Subjects
generalized confidence intervals
Abstract

Generalized Confidence Intervals (GCI) can be constructed for cases where an exact confidence interval based on sufficient statistics is not available. In this thesis, we first review three existing tests for log-normal data using the GCI approach. Then we propose fiducial generalized pivotal quantities (FGPQ)-based simultaneous confidence intervals for ratios of log-normal means, and prove that the constructed confidence intervals have correct asymptotic coverage. These methods are then applied to a dataset from the Carbon Reduction Commitment Energy Efficiency Scheme (CRC) to test for differences between energy saving percentages among different groups.

Published
2015

7. A Generalized Confidence Interval approach to comparing log-normal means, with application

Author

Falk, Bose

Subjects
generalized confidence intervals, log-normal, carbon reduction commitment, fiducial generalized pivotal quantities, FGPQ
Abstract

Generalized Confidence Intervals (GCI) can be constructed for cases where an exact confidence interval based on sufficient statistics is not available. In this thesis, we first review three existing tests for log-normal data using the GCI approach. Then we propose fiducial generalized pivotal quantities (FGPQ)-based simultaneous confidence intervals for ratios of log-normal means, and prove that the constructed confidence intervals have correct asymptotic coverage. These methods are then applied to a dataset from the Carbon Reduction Commitment Energy Efficiency Scheme (CRC) to test for differences between energy saving percentages among different groups.

Published
2015

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