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Boel Brynedal

Showing results (11-20 of 36) with videos related to

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American Journal of Human Genetics|March 14, 2017
Large-Scale trans-eQTLs Affect Hundreds of Transcripts and Mediate Patterns of Transcriptional Co-regulationBoel Brynedal, JinMyung Choi, Towfique Raj, et al.
Journal of Immunology (Baltimore, Md. : 1950)|January 5, 2011
Cutting edge: TIGIT has T cell-intrinsic inhibitory functionsNicole Joller, Jason P Hafler, Boel Brynedal, et al.
Plos One|March 11, 2014
Human leukocyte antigen genes and interferon beta preparations influence risk of developing neutralizing anti-drug antibodies in multiple sclerosisJenny Link, Malin Lundkvist Ryner, Katharina Fink, et al.
Preventive Medicine|April 23, 2024
The influence of the COVID-19 pandemic on physical activity in Stockholm County - Evidence from time series models of smartphone measured daily steps data spanning over 3 yearsMinhao Zhou, Mihretab Gebreslassie, Antonio Ponce de Leon, et al.
Journal of Neuroimmunology|August 4, 2010
Two HLA class I genes independently associated with multiple sclerosisJenny Link, Aslaug R Lorentzen, Ingrid Kockum, et al.
BMC Primary Care|January 25, 2025
Differences between private and public primary health care centers and differences between men and women in antihypertensive care and cardiovascular prevention in all patients with hypertension treated in primary care in Stockholm County, SwedenPer Wändell, Anders Norrman, Julia Eriksson, et al.
Annals of the Rheumatic Diseases|July 4, 2018
Systematic approach demonstrates enrichment of multiple interactions between non-<i>HLA</i> risk variants and <i>HLA-DRB1</i> risk alleles in rheumatoid arthritisLina-Marcela Diaz-Gallo, Daniel Ramsköld, Klementy Shchetynsky, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|July 31, 2020
Methylome and transcriptome signature of bronchoalveolar cells from multiple sclerosis patients in relation to smokingMikael V Ringh, Michael Hagemann-Jensen, Maria Needhamsen, et al.
Rheumatology (Oxford, England)|June 27, 2021
Early prediction of clinical response to anti-TNF treatment using multi-omics and machine learning in rheumatoid arthritisNiyaz Yoosuf, Mateusz Maciejewski, Daniel Ziemek, et al.
Preventive Medicine Reports|August 2, 2024
Predicting new cases of hypertension in Swedish primary care with a machine learning toolAnders Norrman, Jan Hasselström, Gunnar Ljunggren, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
American Journal of Human Genetics|March 14, 2017
Large-Scale trans-eQTLs Affect Hundreds of Transcripts and Mediate Patterns of Transcriptional Co-regulationBoel Brynedal, JinMyung Choi, Towfique Raj, et al.
Journal of Immunology (Baltimore, Md. : 1950)|January 5, 2011
Cutting edge: TIGIT has T cell-intrinsic inhibitory functionsNicole Joller, Jason P Hafler, Boel Brynedal, et al.
Plos One|March 11, 2014
Human leukocyte antigen genes and interferon beta preparations influence risk of developing neutralizing anti-drug antibodies in multiple sclerosisJenny Link, Malin Lundkvist Ryner, Katharina Fink, et al.
Preventive Medicine|April 23, 2024
The influence of the COVID-19 pandemic on physical activity in Stockholm County - Evidence from time series models of smartphone measured daily steps data spanning over 3 yearsMinhao Zhou, Mihretab Gebreslassie, Antonio Ponce de Leon, et al.
Journal of Neuroimmunology|August 4, 2010
Two HLA class I genes independently associated with multiple sclerosisJenny Link, Aslaug R Lorentzen, Ingrid Kockum, et al.
BMC Primary Care|January 25, 2025
Differences between private and public primary health care centers and differences between men and women in antihypertensive care and cardiovascular prevention in all patients with hypertension treated in primary care in Stockholm County, SwedenPer Wändell, Anders Norrman, Julia Eriksson, et al.
Annals of the Rheumatic Diseases|July 4, 2018
Systematic approach demonstrates enrichment of multiple interactions between non-<i>HLA</i> risk variants and <i>HLA-DRB1</i> risk alleles in rheumatoid arthritisLina-Marcela Diaz-Gallo, Daniel Ramsköld, Klementy Shchetynsky, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|July 31, 2020
Methylome and transcriptome signature of bronchoalveolar cells from multiple sclerosis patients in relation to smokingMikael V Ringh, Michael Hagemann-Jensen, Maria Needhamsen, et al.
Rheumatology (Oxford, England)|June 27, 2021
Early prediction of clinical response to anti-TNF treatment using multi-omics and machine learning in rheumatoid arthritisNiyaz Yoosuf, Mateusz Maciejewski, Daniel Ziemek, et al.
Preventive Medicine Reports|August 2, 2024
Predicting new cases of hypertension in Swedish primary care with a machine learning toolAnders Norrman, Jan Hasselström, Gunnar Ljunggren, et al.
Pageof 4