Steffan Daniƫl Bos
- Postdoc; PhD
- +47 230 79024
Bos has obtained a PhD degree in genetics after obtaining a Master degree in biopharmaceutics, University of Leiden, The Netherlands. His research has focused on the genetics of complex diseases and in particular the follow up of genes showing involvement through genome wide approaches.
Project/research interest:
Bos' main project encompasses the investigation of the epigenetic profile of MS patients' immune cells. Furthermore, the functional follow up of genes implicated in MS through recent genome wide approaches is a focus point in his research. Bos is co-supervisor for Pankaj Kumar Keshari.
Adress: Oslo University Hospital, Research Unit for Neuroscience, Domus Medica II, 2nd floor, L-268, Gaustadalleen 34, 0372 Oslo
Publications 2021
Exploring the role of the multiple sclerosis susceptibility gene CLEC16A in T cells
Scand. J. Immunol., 94 (1), e13050
DOI 10.1111/sji.13050
Publications 2020
Pregnancy does not modify the risk of MS in genetically susceptible women
Neurol.-Neuroimmunol. Neuroinflammation, 7 (6), e898
DOI 10.1212/NXI.0000000000000898
Publications 2019
Quantitative proteomic analyses of CD4(+) and CD8(+) T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls
Clin. Proteom., 16, 19
DOI 10.1186/s12014-019-9241-5
No differential gene expression for CD4(+) T cells of MS patients and healthy controls
Mult. Scler. J. Exp. Transl. Clin., 5 (2)
DOI 10.1177/2055217319856903
A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis (vol 10, 2236, 2019)
Nat. Commun., 10, 2956
DOI 10.1038/s41467-019-10951-1
A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis
Nat. Commun., 10, 2236
DOI 10.1038/s41467-019-09773-y
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
Science, 365 (6460), eaav7188-+
DOI 10.1126/science.aav7188
Publications 2018
SVM-based Tool to Detect Patients with Multiple Sclerosis Using a Commercial EMG Sensor
PR IEEE SEN ARRAY, 376-379
Increased DNA methylation of SLFN12 in CD4(+) and CD8(+) T cells from multiple sclerosis patients
PLoS One, 13 (10), e0206511
DOI 10.1371/journal.pone.0206511
Publications 2017
Fourteen sequence variants that associate with multiple sclerosis discovered by meta-analysis informed by genetic correlations
npj Genom. Med., 2, 24
DOI 10.1038/s41525-017-0027-2
Publications 2016
Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies
Neurol.-Genet., 2 (4), eB7
DOI 10.1212/NXG.00000000000000B7
Allelic imbalance of multiple sclerosis susceptibility genes IKZF3 and IQGAP1 in human peripheral blood
BMC Genet., 17, 59
DOI 10.1186/s12863-016-0367-4
Genetic overlap between multiple sclerosis and several cardiovascular disease risk factors
Mult. Scler. J., 22 (14), 1783-1793
DOI 10.1177/1352458516635873
Publications 2015
Genome-Wide DNA Methylation Profiles Indicate CD8+T Cell Hypermethylation in Multiple Sclerosis
PLoS One, 10 (3), e0117403
DOI 10.1371/journal.pone.0117403
Retinoic acid enhances the levels of IL-10 in TLR-stimulated B cells from patients with relapsing-remitting multiple sclerosis
J. Neuroimmunol., 278, 11-18
DOI 10.1016/j.jneuroim.2014.11.019
Genetic variants are major determinants of CSF antibody levels in multiple sclerosis
Brain, 138, 632-643
DOI 10.1093/brain/awu405
Multiple Sclerosis Risk Allele in CLEC16A Acts as an Expression Quantitative Trait Locus for CLEC16A and SOCS1 in CD4+T Cells
PLoS One, 10 (7), e0132957
DOI 10.1371/journal.pone.0132957
Assessing the Power of Exome Chips
PLoS One, 10 (10), e0139642
DOI 10.1371/journal.pone.0139642
Publications 2014
Oligoclonal bands and age at onset correlate with genetic risk score in multiple sclerosis
Mult. Scler. J., 20 (6), 660-668
DOI 10.1177/1352458513506503