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1. Predicting disease severity in multiple sclerosis using multimodal data and machine learning

Author

Andorra, Magi, Freire, Ana, Zubizarreta, Irati, de Rosbo, Nicole Kerlero, Bos, Steffan D., Rinas, Melanie, Høgestøl, Einar A., de Rodez Benavent, Sigrid A., Berge, Tone, Brune-Ingebretse, Synne, Ivaldi, Federico, Cellerino, Maria, Pardini, Matteo, Vila, Gemma, Pulido-Valdeolivas, Irene, Martinez-Lapiscina, Elena H., Llufriu, Sara, Saiz, Albert, Blanco, Yolanda, Martinez-Heras, Eloy, Solana, Elisabeth, Bäcker-Koduah, Priscilla, Behrens, Janina, Kuchling, Joseph, Asseyer, Susanna, Scheel, Michael, Chien, Claudia, Zimmermann, Hanna, Motamedi, Seyedamirhosein, Kauer-Bonin, Josef, Brandt, Alex, Saez-Rodriguez, Julio, Alexopoulos, Leonidas G., Paul, Friedemann, Harbo, Hanne F., Shams, Hengameh, Oksenberg, Jorge, Uccelli, Antonio, Baeza-Yates, Ricardo, and Villoslada, Pablo

Published
2024
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5. Common brain disorders are associated with heritable patterns of apparent aging of the brain

Author

Kaufmann, Tobias, van der Meer, Dennis, Doan, Nhat Trung, Schwarz, Emanuel, Lund, Martina J, Agartz, Ingrid, Alnæs, Dag, Barch, Deanna M, Baur-Streubel, Ramona, Bertolino, Alessandro, Bettella, Francesco, Beyer, Mona K, Bøen, Erlend, Borgwardt, Stefan, Brandt, Christine L, Buitelaar, Jan, Celius, Elisabeth G, Cervenka, Simon, Conzelmann, Annette, Córdova-Palomera, Aldo, Dale, Anders M, de Quervain, Dominique JF, Di Carlo, Pasquale, Djurovic, Srdjan, Dørum, Erlend S, Eisenacher, Sarah, Elvsåshagen, Torbjørn, Espeseth, Thomas, Fatouros-Bergman, Helena, Flyckt, Lena, Franke, Barbara, Frei, Oleksandr, Haatveit, Beathe, Håberg, Asta K, Harbo, Hanne F, Hartman, Catharina A, Heslenfeld, Dirk, Hoekstra, Pieter J, Høgestøl, Einar A, Jernigan, Terry L, Jonassen, Rune, Jönsson, Erik G, Kirsch, Peter, Kłoszewska, Iwona, Kolskår, Knut K, Landrø, Nils Inge, Le Hellard, Stephanie, Lesch, Klaus-Peter, Lovestone, Simon, Lundervold, Arvid, Lundervold, Astri J, Maglanoc, Luigi A, Malt, Ulrik F, Mecocci, Patrizia, Melle, Ingrid, Meyer-Lindenberg, Andreas, Moberget, Torgeir, Norbom, Linn B, Nordvik, Jan Egil, Nyberg, Lars, Oosterlaan, Jaap, Papalino, Marco, Papassotiropoulos, Andreas, Pauli, Paul, Pergola, Giulio, Persson, Karin, Richard, Geneviève, Rokicki, Jaroslav, Sanders, Anne-Marthe, Selbæk, Geir, Shadrin, Alexey A, Smeland, Olav B, Soininen, Hilkka, Sowa, Piotr, Steen, Vidar M, Tsolaki, Magda, Ulrichsen, Kristine M, Vellas, Bruno, Wang, Lei, Westman, Eric, Ziegler, Georg C, Zink, Mathias, Andreassen, Ole A, and Westlye, Lars T

Subjects
Biological Psychology, Psychology, Rare Diseases, Mental Health, Neurosciences, Brain Disorders, Biomedical Imaging, Aging, Aetiology, 2.3 Psychological, social and economic factors, 1.1 Normal biological development and functioning, Underpinning research, Mental health, Neurological, Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Brain, Brain Diseases, Child, Child, Preschool, Female, Genome-Wide Association Study, Humans, Infant, Magnetic Resonance Imaging, Male, Mental Disorders, Middle Aged, Neuropsychological Tests, Schizophrenia, Sex Characteristics, Young Adult, Karolinska Schizophrenia Project, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data from 45,615 individuals aged 3-96 years, we demonstrate distinct patterns of apparent brain aging in several brain disorders and reveal genetic pleiotropy between apparent brain aging in healthy individuals and common brain disorders.

Published
2019

6. Restriction spectrum imaging of white matter and its relation to neurological disability in multiple sclerosis

Author

Sowa, Piotr, Harbo, Hanne F, White, Nathan S, Celius, Elisabeth G, Bartsch, Hauke, Berg-Hansen, Pål, Moen, Stine M, Bjørnerud, Atle, Westlye, Lars T, Andreassen, Ole A, Dale, Anders M, and Beyer, Mona K

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Autoimmune Disease, Neurodegenerative, Multiple Sclerosis, Brain Disorders, Neurosciences, Clinical Trials and Supportive Activities, Neurological, Adult, Anisotropy, Brain, Diffusion Magnetic Resonance Imaging, Disability Evaluation, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nervous System Diseases, White Matter, Magnetic resonance imaging, multiple sclerosis, restriction spectrum imaging, neurite density, neurological disability, Neurology & Neurosurgery, Clinical sciences, Biological psychology
Abstract

BACKGROUND:Restriction spectrum imaging (RSI) is a recently introduced magnetic resonance imaging diffusion technique. The utility of RSI in multiple sclerosis (MS) is unknown. OBJECTIVE:To investigate the association between RSI-derived parameters and neurological disability in MS. METHODS:Seventy-seven relapsing-remitting MS patients were scanned with RSI on a 3-T scanner. RSI-derived parameters: fast and slow apparent diffusion coefficient (sADC), fractional anisotropy, restricted fractional anisotropy, neurite density (ND), cellularity, extracellular water fraction, and free water fraction, were obtained in white matter lesions (WML) and normal appearing white matter (NAWM). Patients were divided into three groups according to their expanded disability status scale (EDSS): with minimal, low, and substantial disability (3, respectively). Group comparisons and correlation analyses were performed. RESULTS:All tested RSI-derived parameters differed between WML and NAWM ( p

Published
2019

7. Author Correction: A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis

Author

Madireddy, Lohith, Patsopoulos, Nikolaos A, Cotsapas, Chris, Bos, Steffan D, Beecham, Ashley, McCauley, Jacob, Kim, Kicheol, Jia, Xiaoming, Santaniello, Adam, Caillier, Stacy J, Andlauer, Till FM, Barcellos, Lisa F, Berge, Tone, Bernardinelli, Luisa, Martinelli-Boneschi, Filippo, Booth, David R, Briggs, Farren, Celius, Elisabeth G, Comabella, Manuel, Comi, Giancarlo, Cree, Bruce AC, D'Alfonso, Sandra, Dedham, Katrina, Duquette, Pierre, Dardiotis, Efthimios, Esposito, Federica, Fontaine, Bertrand, Gasperi, Christiane, Goris, An, Dubois, Benedicte, Gourraud, Pierre-Antoine, Hadjigeorgiou, Georgios, Haines, Jonathan, Hawkins, Clive, Hemmer, Bernhard, Hintzen, Rogier, Horakova, Dana, Isobe, Noriko, Kalra, Seema, Kira, Jun-ichi, Khalil, Michael, Kockum, Ingrid, Lill, Christina M, Lincoln, Matthew R, Luessi, Felix, Martin, Roland, Oturai, Annette, Palotie, Aarno, Pericak-Vance, Margaret A, Henry, Roland, Saarela, Janna, Ivinson, Adrian, Olsson, Tomas, Taylor, Bruce V, Stewart, Graeme J, Harbo, Hanne F, Compston, Alastair, Hauser, Stephen L, Hafler, David A, Zipp, Frauke, De Jager, Philip, Sawcer, Stephen, Oksenberg, Jorge R, and Baranzini, Sergio E

Subjects
International Multiple Sclerosis Genetics Consortium
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

8. A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis

Author

Madireddy, Lohith, Patsopoulos, Niklaos A, Cotsapas, Chris, Bos, Steffan D, Beecham, Ashley, McCauley, Jacob, Kim, Kicheol, Jia, Xiaoming, Santaniello, Adam, Caillier, Stacy J, Andlauer, Till FM, Barcellos, Lisa F, Berge, Tone, Bernardinelli, Luisa, Martinelli-Boneschi, Filippo, Booth, David R, Briggs, Farren, Celius, Elisabeth G, Comabella, Manuel, Comi, Giancarlo, Cree, Bruce AC, D'Alfonso, Sandra, Dedham, Katrina, Duquette, Pierre, Efthimios, Dardiotis, Esposito, Federica, Fontaine, Bertrand, Gasperi, Christiane, Goris, An, Dubois, Benedicte, Gourraud, Pierre-Antoine, Hadjigeorgiou, Georgios, Haines, Jonathan, Hawkins, Clive, Hemmer, Bernhard, Hintzen, Rogier, Horakova, Dana, Isobe, Noriko, Kalra, Seema, Kira, Jun-ichi, Khalil, Michael, Kockum, Ingrid, Lill, Christina M, Lincoln, Matthew R, Luessi, Felix, Martin, Roland, Oturai, Annette, Palotie, Aarno, Pericak-Vance, Margaret A, Henry, Roland, Saarela, Janna, Ivinson, Adrian, Olsson, Tomas, Taylor, Bruce V, Stewart, Graeme J, Harbo, Hanne F, Compston, Alastair, Hauser, Stephen L, Hafler, David A, Zipp, Frauke, De Jager, Philip, Sawcer, Stephen, Oksenberg, Jorge R, and Baranzini, Sergio E

Subjects
Human Genome, Autoimmune Disease, Multiple Sclerosis, Genetics, Biotechnology, Brain Disorders, Neurodegenerative, Clinical Research, Neurosciences, 2.1 Biological and endogenous factors, Aetiology, Inflammatory and immune system, Gene Expression Regulation, Genes, Regulator, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Systems Biology, International Multiple Sclerosis Genetics Consortium
Abstract

Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations has proven extremely difficult. Even determining which cell types and which particular gene(s) are relevant continues to be a challenge. Here, we conduct a cell-specific pathway analysis of the latest GWAS in multiple sclerosis (MS), which had analyzed a total of 47,351 cases and 68,284 healthy controls and found more than 200 non-MHC genome-wide associations. Our analysis identifies pan immune cell as well as cell-specific susceptibility genes in T cells, B cells and monocytes. Finally, genotype-level data from 2,370 patients and 412 controls is used to compute intra-individual and cell-specific susceptibility pathways that offer a biological interpretation of the individual genetic risk to MS. This approach could be adopted in any other complex trait for which genome-wide data is available.

Published
2019

9. Deep neural networks learn general and clinically relevant representations of the ageing brain

Author

Leonardsen, Esten H., Peng, Han, Kaufmann, Tobias, Agartz, Ingrid, Andreassen, Ole A., Celius, Elisabeth Gulowsen, Espeseth, Thomas, Harbo, Hanne F., Høgestøl, Einar A., Lange, Ann-Marie de, Marquand, Andre F., Vidal-Piñeiro, Didac, Roe, James M., Selbæk, Geir, Sørensen, Øystein, Smith, Stephen M., Westlye, Lars T., Wolfers, Thomas, and Wang, Yunpeng

Published
2022
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11. Brain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study

Author

Rise, Henning H., Brune, Synne, Chien, Claudia, Berge, Tone, Bos, Steffan D., Andorrà, Magí, Valdeolivas, Irene Pulido, Beyer, Mona K., Sowa, Piotr, Scheel, Michael, Brandt, Alexander U., Asseyer, Susanna, Blennow, Kaj, Pedersen, Mads L., Zetterberg, Henrik, de Schotten, Michel Thiebaut, Cellerino, Maria, Uccelli, Antonio, Paul, Friedemann, Villoslada, Pablo, Harbo, Hanne F., Westlye, Lars T., and Høgestøl, Einar A.

Published
2022
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12. Multiscale networks in multiple sclerosis

Author

Kennedy, Keith E., primary, Kerlero de Rosbo, Nicole, additional, Uccelli, Antonio, additional, Cellerino, Maria, additional, Ivaldi, Federico, additional, Contini, Paola, additional, De Palma, Raffaele, additional, Harbo, Hanne F., additional, Berge, Tone, additional, Bos, Steffan D., additional, Høgestøl, Einar A., additional, Brune-Ingebretsen, Synne, additional, de Rodez Benavent, Sigrid A., additional, Paul, Friedemann, additional, Brandt, Alexander U., additional, Bäcker-Koduah, Priscilla, additional, Behrens, Janina, additional, Kuchling, Joseph, additional, Asseyer, Susanna, additional, Scheel, Michael, additional, Chien, Claudia, additional, Zimmermann, Hanna, additional, Motamedi, Seyedamirhosein, additional, Kauer-Bonin, Josef, additional, Saez-Rodriguez, Julio, additional, Rinas, Melanie, additional, Alexopoulos, Leonidas G., additional, Andorra, Magi, additional, Llufriu, Sara, additional, Saiz, Albert, additional, Blanco, Yolanda, additional, Martinez-Heras, Eloy, additional, Solana, Elisabeth, additional, Pulido-Valdeolivas, Irene, additional, Martinez-Lapiscina, Elena H., additional, Garcia-Ojalvo, Jordi, additional, and Villoslada, Pablo, additional

Published
2024
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13. Peripapillary retinal layer thickness is associated with retinal oxygen saturation in newly diagnosed patients with multiple sclerosis

Author

Nes, Dragana, primary, Berg‐Hansen, Pål, additional, de Rodez Benavent, Sigrid A., additional, Høgestøl, Einar A., additional, Beyer, Mona K., additional, Rinker, Daniel A., additional, Veiby, Nina, additional, Karabeg, Mia, additional, Petrovski, Beáta Éva, additional, Celius, Elisabeth G., additional, Harbo, Hanne F., additional, and Petrovski, Goran, additional

Published
2024
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14. Genetic overlap between multiple sclerosis and several cardiovascular disease risk factors

Author

Wang, Yunpeng, Bos, Steffan D, Harbo, Hanne F, Thompson, Wesley K, Schork, Andrew J, Bettella, Francesco, Witoelar, Aree, Lie, Benedicte A, Li, Wen, McEvoy, Linda K, Djurovic, Srdjan, Desikan, Rahul S, Dale, Anders M, and Andreassen, Ole A

Subjects
Prevention, Neurodegenerative, Cardiovascular, Genetics, Autoimmune Disease, Atherosclerosis, Heart Disease, Brain Disorders, Multiple Sclerosis, Human Genome, Neurosciences, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Cardiovascular Diseases, Genetic Loci, Genetic Pleiotropy, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, Multiple sclerosis, pleiotropy, gene discovery, cardiovascular risk factors, Clinical Sciences, Neurology & Neurosurgery
Abstract

BackgroundEpidemiological findings suggest a relationship between multiple sclerosis (MS) and cardiovascular disease (CVD) risk factors, although the nature of this relationship is not well understood.ObjectiveWe used genome-wide association study (GWAS) data to identify shared genetic factors (pleiotropy) between MS and CVD risk factors.MethodsUsing summary statistics from a large, recent GWAS (total n > 250,000 individuals), we investigated overlap in single nucleotide polymorphisms (SNPs) associated with MS and a number of CVD risk factors including triglycerides (TG), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, body mass index, waist-to-hip ratio, type 2 diabetes, systolic blood pressure, and C-reactive protein level.Results and conclusionUsing conditional enrichment plots, we found 30-fold enrichment of MS SNPs for different levels of association with LDL and TG SNPs, with a corresponding reduction in conditional false discovery rate (FDR). We identified 133 pleiotropic loci outside the extended major histocompatibility complex with conditional FDR

Published
2016

15. Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies.

Author

George, Michaela F, Briggs, Farren BS, Shao, Xiaorong, Gianfrancesco, Milena A, Kockum, Ingrid, Harbo, Hanne F, Celius, Elisabeth G, Bos, Steffan D, Hedström, Anna, Shen, Ling, Bernstein, Allan, Alfredsson, Lars, Hillert, Jan, Olsson, Tomas, Patsopoulos, Nikolaos A, De Jager, Philip L, Oturai, Annette B, Søndergaard, Helle B, Sellebjerg, Finn, Sorensen, Per S, Gomez, Refujia, Caillier, Stacy J, Cree, Bruce AC, Oksenberg, Jorge R, Hauser, Stephen L, D'Alfonso, Sandra, Leone, Maurizio A, Martinelli Boneschi, Filippo, Sorosina, Melissa, van der Mei, Ingrid, Taylor, Bruce V, Zhou, Yuan, Schaefer, Catherine, and Barcellos, Lisa F

Subjects
Genetics, Neurosciences
Abstract

ObjectiveWe investigated the association between 52 risk variants identified through genome-wide association studies and disease severity in multiple sclerosis (MS).MethodsTen unique MS case data sets were analyzed. The Multiple Sclerosis Severity Score (MSSS) was calculated using the Expanded Disability Status Scale at study entry and disease duration. MSSS was considered as a continuous variable and as 2 dichotomous variables (median and extreme ends; MSSS of ≤5 vs >5 and MSSS of

Published
2016

16. Predicting disease severity in multiple sclerosis using multimodal data and machine learning

Author

Andorra, Magi, primary, Freire, Ana, additional, Zubizarreta, Irati, additional, de Rosbo, Nicole Kerlero, additional, Bos, Steffan D., additional, Rinas, Melanie, additional, Høgestøl, Einar A., additional, de Rodez Benavent, Sigrid A., additional, Berge, Tone, additional, Brune-Ingebretse, Synne, additional, Ivaldi, Federico, additional, Cellerino, Maria, additional, Pardini, Matteo, additional, Vila, Gemma, additional, Pulido-Valdeolivas, Irene, additional, Martinez-Lapiscina, Elena H., additional, Llufriu, Sara, additional, Saiz, Albert, additional, Blanco, Yolanda, additional, Martinez-Heras, Eloy, additional, Solana, Elisabeth, additional, Bäcker-Koduah, Priscilla, additional, Behrens, Janina, additional, Kuchling, Joseph, additional, Asseyer, Susanna, additional, Scheel, Michael, additional, Chien, Claudia, additional, Zimmermann, Hanna, additional, Motamedi, Seyedamirhosein, additional, Kauer-Bonin, Josef, additional, Brandt, Alex, additional, Saez-Rodriguez, Julio, additional, Alexopoulos, Leonidas G., additional, Paul, Friedemann, additional, Harbo, Hanne F., additional, Shams, Hengameh, additional, Oksenberg, Jorge, additional, Uccelli, Antonio, additional, Baeza-Yates, Ricardo, additional, and Villoslada, Pablo, additional

Published
2023
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17. Prognostic value of single-subject grey matter networks in early multiple sclerosis.

Author

Fleischer, Vinzenz, Gonzalez-Escamilla, Gabriel, Pareto, Deborah, Rovira, Alex, Sastre-Garriga, Jaume, Sowa, Piotr, Høgestøl, Einar A, Harbo, Hanne F, Bellenberg, Barbara, Lukas, Carsten, Ruggieri, Serena, Gasperini, Claudio, Uher, Tomas, Vaneckova, Manuela, Bittner, Stefan, Othman, Ahmed E, Collorone, Sara, Toosy, Ahmed T, Meuth, Sven G, and Zipp, Frauke

Subjects
PROGNOSIS, MULTIPLE sclerosis, WHITE matter (Nerve tissue), MAGNETIC resonance imaging, LARGE-scale brain networks
Abstract

The identification of prognostic markers in early multiple sclerosis (MS) is challenging and requires reliable measures that robustly predict future disease trajectories. Ideally, such measures should make inferences at the individual level to inform clinical decisions. This study investigated the prognostic value of longitudinal structural networks to predict 5-year Expanded Disability Status Scale (EDSS) progression in patients with relapsing-remitting MS (RRMS). We hypothesized that network measures, derived from MRI, outperform conventional MRI measurements at identifying patients at risk of developing disability progression. This longitudinal, multicentre study within the Magnetic Resonance Imaging in MS (MAGNIMS) network included 406 patients with RRMS (mean age = 35.7 ± 9.1 years) followed up for 5 years (mean follow-up = 5.0 ± 0.6 years). EDSS was determined to track disability accumulation. A group of 153 healthy subjects (mean age = 35.0 ± 10.1 years) with longitudinal MRI served as controls. All subjects underwent MRI at baseline and again 1 year after baseline. Grey matter atrophy over 1 year and white matter lesion load were determined. A single-subject brain network was reconstructed from T1-weighted scans based on grey matter atrophy measures derived from a statistical parameter mapping-based segmentation pipeline. Key topological measures, including network degree, global efficiency and transitivity, were calculated at single-subject level to quantify network properties related to EDSS progression. Areas under receiver operator characteristic (ROC) curves were constructed for grey matter atrophy and white matter lesion load, and the network measures and comparisons between ROC curves were conducted. The applied network analyses differentiated patients with RRMS who experience EDSS progression over 5 years through lower values for network degree [H(2) = 30.0, P < 0.001] and global efficiency [H(2) = 31.3, P < 0.001] from healthy controls but also from patients without progression. For transitivity, the comparisons showed no difference between the groups [H(2) = 1.5, P = 0.474]. Most notably, changes in network degree and global efficiency were detected independent of disease activity in the first year. The described network reorganization in patients experiencing EDSS progression was evident in the absence of grey matter atrophy. Network degree and global efficiency measurements demonstrated superiority of network measures in the ROC analyses over grey matter atrophy and white matter lesion load in predicting EDSS worsening (all P -values < 0.05). Our findings provide evidence that grey matter network reorganization over 1 year discloses relevant information about subsequent clinical worsening in RRMS. Early grey matter restructuring towards lower network efficiency predicts disability accumulation and outperforms conventional MRI predictors. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Prognostic value of single-subject grey matter networks in early multiple sclerosis

Author

Fleischer, Vinzenz, primary, Gonzalez-Escamilla, Gabriel, additional, Pareto, Deborah, additional, Rovira, Alex, additional, Sastre-Garriga, Jaume, additional, Sowa, Piotr, additional, Høgestøl, Einar A, additional, Harbo, Hanne F, additional, Bellenberg, Barbara, additional, Lukas, Carsten, additional, Ruggieri, Serena, additional, Gasperini, Claudio, additional, Uher, Tomas, additional, Vaneckova, Manuela, additional, Bittner, Stefan, additional, Othman, Ahmed E, additional, Collorone, Sara, additional, Toosy, Ahmed T, additional, Meuth, Sven G, additional, Zipp, Frauke, additional, Barkhof, Frederik, additional, Ciccarelli, Olga, additional, and Groppa, Sergiu, additional

Published
2023
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19. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis.

Author

International Multiple Sclerosis Genetics Consortium (IMSGC), Beecham, Ashley H, Patsopoulos, Nikolaos A, Xifara, Dionysia K, Davis, Mary F, Kemppinen, Anu, Cotsapas, Chris, Shah, Tejas S, Spencer, Chris, Booth, David, Goris, An, Oturai, Annette, Saarela, Janna, Fontaine, Bertrand, Hemmer, Bernhard, Martin, Claes, Zipp, Frauke, D'Alfonso, Sandra, Martinelli-Boneschi, Filippo, Taylor, Bruce, Harbo, Hanne F, Kockum, Ingrid, Hillert, Jan, Olsson, Tomas, Ban, Maria, Oksenberg, Jorge R, Hintzen, Rogier, Barcellos, Lisa F, Wellcome Trust Case Control Consortium 2 (WTCCC2), International IBD Genetics Consortium (IIBDGC), Agliardi, Cristina, Alfredsson, Lars, Alizadeh, Mehdi, Anderson, Carl, Andrews, Robert, Søndergaard, Helle Bach, Baker, Amie, Band, Gavin, Baranzini, Sergio E, Barizzone, Nadia, Barrett, Jeffrey, Bellenguez, Céline, Bergamaschi, Laura, Bernardinelli, Luisa, Berthele, Achim, Biberacher, Viola, Binder, Thomas MC, Blackburn, Hannah, Bomfim, Izaura L, Brambilla, Paola, Broadley, Simon, Brochet, Bruno, Brundin, Lou, Buck, Dorothea, Butzkueven, Helmut, Caillier, Stacy J, Camu, William, Carpentier, Wassila, Cavalla, Paola, Celius, Elisabeth G, Coman, Irène, Comi, Giancarlo, Corrado, Lucia, Cosemans, Leentje, Cournu-Rebeix, Isabelle, Cree, Bruce AC, Cusi, Daniele, Damotte, Vincent, Defer, Gilles, Delgado, Silvia R, Deloukas, Panos, di Sapio, Alessia, Dilthey, Alexander T, Donnelly, Peter, Dubois, Bénédicte, Duddy, Martin, Edkins, Sarah, Elovaara, Irina, Esposito, Federica, Evangelou, Nikos, Fiddes, Barnaby, Field, Judith, Franke, Andre, Freeman, Colin, Frohlich, Irene Y, Galimberti, Daniela, Gieger, Christian, Gourraud, Pierre-Antoine, Graetz, Christiane, Graham, Andrew, Grummel, Verena, Guaschino, Clara, Hadjixenofontos, Athena, Hakonarson, Hakon, Halfpenny, Christopher, Hall, Gillian, Hall, Per, Hamsten, Anders, Harley, James, and Harrower, Timothy

Subjects
International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium 2, International IBD Genetics Consortium, Humans, Multiple Sclerosis, Genetic Predisposition to Disease, Chromosome Mapping, Gene Frequency, Genotype, Polymorphism, Single Nucleotide, Genetic Variation, Genome-Wide Association Study, Genetic Loci, White People, Neurosciences, Prevention, Autoimmune Disease, Genetics, Brain Disorders, Human Genome, Neurodegenerative, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.

Published
2013

20. Genetic risk variants in African Americans with multiple sclerosis

Author

Isobe, Noriko, Gourraud, Pierre-Antoine, Harbo, Hanne F, Caillier, Stacy J, Santaniello, Adam, Khankhanian, Pouya, Maiers, Martin, Spellman, Stephen, Cereb, Nezih, Yang, SooYoung, Pando, Marcelo J, Piccio, Laura, Cross, Anne H, De Jager, Philip L, Cree, Bruce AC, Hauser, Stephen L, and Oksenberg, Jorge R

Subjects
Human Genome, Multiple Sclerosis, Autoimmune Disease, Clinical Research, Genetics, Neurodegenerative, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Adult, African Americans, Age of Onset, Alleles, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, HLA-A Antigens, HLA-DQ beta-Chains, HLA-DRB1 Chains, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Black or African American, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectivesTo assess the association of established multiple sclerosis (MS) risk variants in 3,254 African Americans (1,162 cases and 2,092 controls).MethodsHuman leukocyte antigen (HLA)-DRB1, HLA-DQB1, and HLA-A alleles were typed by molecular techniques. Single nucleotide polymorphism (SNP) genotyping was conducted for 76 MS-associated SNPs and 52 ancestry informative marker SNPs selected throughout the genome. Self-declared ancestry was refined by principal component analysis of the ancestry informative marker SNPs. An ancestry-adjusted multivariate model was applied to assess genetic associations.ResultsThe following major histocompatibility complex risk alleles were replicated: HLA-DRB1*15:01 (odds ratio [OR] = 2.02 [95% confidence interval: 1.54-2.63], p = 2.50e-07), HLA-DRB1*03:01 (OR = 1.58 [1.29-1.94], p = 1.11e-05), as well as HLA-DRB1*04:05 (OR = 2.35 [1.26-4.37], p = 0.007) and the African-specific risk allele of HLA-DRB1*15:03 (OR = 1.26 [1.05-1.51], p = 0.012). The protective association of HLA-A*02:01 was confirmed (OR = 0.72 [0.55-0.93], p = 0.013). None of the HLA-DQB1 alleles were associated with MS. Using a significance threshold of p < 0.01, outside the major histocompatibility complex region, 8 MS SNPs were also found to be associated with MS in African Americans.ConclusionMS genetic risk in African Americans only partially overlaps with that of Europeans and could explain the difference of MS prevalence between populations.

Published
2013

21. No evidence of association between mutant alleles of the CYP27B1 gene and multiple sclerosis.

Author

Ban, Maria, Caillier, Stacy, Mero, Inger-Lise, Myhr, Kjell-Morten, Celius, Elisabeth G, Aarseth, Jan, Torkildsen, Øivind, Harbo, Hanne F, Oksenberg, Jorge, Hauser, Stephen L, Sawcer, Stephen, and Compston, Alastair

Subjects
Humans, Multiple Sclerosis, 25-Hydroxyvitamin D3 1-alpha-Hydroxylase, Gene Frequency, Mutation, Norway, Female, Male, Genetic Association Studies, United Kingdom, Neurology & Neurosurgery, Clinical Sciences, Neurosciences
Abstract

An association has previously been reported between susceptibility to multiple sclerosis and the rare mutant alleles of the CYP27B1 gene responsible for autosomal recessive vitamin D-dependent rickets type 1 (VDDR1). In an attempt to replicate this finding, we screened 495 multiplex families and 2,092 single affected families, together with 4,594 cases and 3,583 controls (a total of 17,073 individuals) but were unable to find any evidence supporting this putative association. Our data do not indicate that mutations responsible for VDDR1 influence the risk of developing multiple sclerosis.

Published
2013

22. Association of Genetic Markers with CSF Oligoclonal Bands in Multiple Sclerosis Patients

Author

Leone, Maurizio A, Barizzone, Nadia, Esposito, Federica, Lucenti, Ausiliatrice, Harbo, Hanne F, Goris, An, Kockum, Ingrid, Oturai, Annette Bang, Celius, Elisabeth Gulowsen, Mero, Inger L, Dubois, Bénédicte, Olsson, Tomas, Søndergaard, Helle Bach, Cusi, Daniele, Lupoli, Sara, Andreassen, Bettina Kulle, Myhr, Kjell-Morten, Guerini, Franca R, Comi, Giancarlo, Martinelli-Boneschi, Filippo, and D'Alfonso, Sandra

Subjects
Genetics, Clinical Research, Autoimmune Disease, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Adult, Female, Genetic Markers, Genome-Wide Association Study, HLA-DRB1 Chains, Humans, Male, Meta-Analysis as Topic, Middle Aged, Multiple Sclerosis, Oligoclonal Bands, Polymorphism, Single Nucleotide, Young Adult, International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium 2, PROGEMUS Group, PROGRESSO Group, General Science & Technology
Abstract

Objectiveto explore the association between genetic markers and Oligoclonal Bands (OCB) in the Cerebro Spinal Fluid (CSF) of Italian Multiple Sclerosis patients.MethodsWe genotyped 1115 Italian patients for HLA-DRB1*15 and HLA-A*02. In a subset of 925 patients we tested association with 52 non-HLA SNPs associated with MS susceptibility and we calculated a weighted Genetic Risk Score. Finally, we performed a Genome Wide Association Study (GWAS) with OCB status on a subset of 562 patients. The best associated SNPs of the Italian GWAS were replicated in silico in Scandinavian and Belgian populations, and meta-analyzed.ResultsHLA-DRB1*15 is associated with OCB+: p = 0.03, Odds Ratio (OR) = 1.6, 95% Confidence Limits (CL) = 1.1-2.4. None of the 52 non-HLA MS susceptibility loci was associated with OCB, except one SNP (rs2546890) near IL12B gene (OR: 1.45; 1.09-1.92). The weighted Genetic Risk Score mean was significantly (p = 0.0008) higher in OCB+ (7.668) than in OCB- (7.412) patients. After meta-analysis on the three datasets (Italian, Scandinavian and Belgian) for the best associated signals resulted from the Italian GWAS, the strongest signal was a SNP (rs9320598) on chromosome 6q (p = 9.4×10(-7)) outside the HLA region (65 Mb).Discussiongenetic factors predispose to the development of OCB.

Published
2013

23. Imaging in Lyme neuroborreliosis

Author

Lindland, Elisabeth S., Solheim, Anne Marit, Andreassen, Silje, Quist-Paulsen, Else, Eikeland, Randi, Ljøstad, Unn, Mygland, Åse, Elsais, Ahmed, Nygaard, Gro O., Lorentzen, Åslaug R., Harbo, Hanne F., and Beyer, Mona K.

Published
2018
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24. The genetics of multiple sclerosis: an up‐to‐date review

Author

Gourraud, Pierre‐Antoine, Harbo, Hanne F, Hauser, Stephen L, and Baranzini, Sergio E

Subjects
Biomedical and Clinical Sciences, Immunology, Neurodegenerative, Genetics, Autoimmune Disease, Human Genome, Biotechnology, Brain Disorders, Multiple Sclerosis, Neurosciences, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Neurological, Inflammatory and immune system, Animals, Biomarkers, Environment, Gene-Environment Interaction, Genetic Predisposition to Disease, HLA Antigens, Humans, experimental autoimmune encephalitis, multiple sclerosis, major histocompatibility complex, neuroimmunology
Abstract

Multiple sclerosis (MS) is a prevalent inflammatory disease of the central nervous system that often leads to disability in young adults. Treatment options are limited and often only partly effective. The disease is likely caused by a complex interaction between multiple genes and environmental factors, leading to inflammatory-mediated central nervous system deterioration. A series of genomic studies have confirmed a central role for the immune system in the development of MS, including genetic association studies that have now dramatically expanded the roster of MS susceptibility genes beyond the longstanding human leukocyte antigen (HLA) association in MS first identified nearly 40 years ago. Advances in technology together with novel models for collaboration across research groups have enabled the discovery of more than 50 non-HLA genetic risk factors associated with MS. However, with a large proportion of the disease heritability still unaccounted for, current studies are now geared towards identification of causal alleles, associated pathways, epigenetic mechanisms, and gene-environment interactions. This article reviews recent efforts in addressing the genetics of MS and the challenges posed by an ever increasing amount of analyzable data, which is spearheading development of novel statistical methods necessary to cope with such complexity.

Published
2012

25. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis.

Author

International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium 2, Sawcer, Stephen, Hellenthal, Garrett, Pirinen, Matti, Spencer, Chris CA, Patsopoulos, Nikolaos A, Moutsianas, Loukas, Dilthey, Alexander, Su, Zhan, Freeman, Colin, Hunt, Sarah E, Edkins, Sarah, Gray, Emma, Booth, David R, Potter, Simon C, Goris, An, Band, Gavin, Oturai, Annette Bang, Strange, Amy, Saarela, Janna, Bellenguez, Céline, Fontaine, Bertrand, Gillman, Matthew, Hemmer, Bernhard, Gwilliam, Rhian, Zipp, Frauke, Jayakumar, Alagurevathi, Martin, Roland, Leslie, Stephen, Hawkins, Stanley, Giannoulatou, Eleni, D'alfonso, Sandra, Blackburn, Hannah, Martinelli Boneschi, Filippo, Liddle, Jennifer, Harbo, Hanne F, Perez, Marc L, Spurkland, Anne, Waller, Matthew J, Mycko, Marcin P, Ricketts, Michelle, Comabella, Manuel, Hammond, Naomi, Kockum, Ingrid, McCann, Owen T, Ban, Maria, Whittaker, Pamela, Kemppinen, Anu, Weston, Paul, Hawkins, Clive, Widaa, Sara, Zajicek, John, Dronov, Serge, Robertson, Neil, Bumpstead, Suzannah J, Barcellos, Lisa F, Ravindrarajah, Rathi, Abraham, Roby, Alfredsson, Lars, Ardlie, Kristin, Aubin, Cristin, Baker, Amie, Baker, Katharine, Baranzini, Sergio E, Bergamaschi, Laura, Bergamaschi, Roberto, Bernstein, Allan, Berthele, Achim, Boggild, Mike, Bradfield, Jonathan P, Brassat, David, Broadley, Simon A, Buck, Dorothea, Butzkueven, Helmut, Capra, Ruggero, Carroll, William M, Cavalla, Paola, Celius, Elisabeth G, Cepok, Sabine, Chiavacci, Rosetta, Clerget-Darpoux, Françoise, Clysters, Katleen, Comi, Giancarlo, Cossburn, Mark, Cournu-Rebeix, Isabelle, Cox, Mathew B, Cozen, Wendy, Cree, Bruce AC, Cross, Anne H, Cusi, Daniele, Daly, Mark J, Davis, Emma, de Bakker, Paul IW, Debouverie, Marc, D'hooghe, Marie Beatrice, Dixon, Katherine, Dobosi, Rita, Dubois, Bénédicte, and Ellinghaus, David

Subjects
International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium 2, T-Lymphocytes, Helper-Inducer, Humans, Multiple Sclerosis, Genetic Predisposition to Disease, HLA-A Antigens, HLA-DR Antigens, Sample Size, Cell Differentiation, Immunity, Cellular, Major Histocompatibility Complex, Polymorphism, Single Nucleotide, Alleles, Genome, Human, Europe, Genome-Wide Association Study, HLA-DRB1 Chains, Genetics, Neurosciences, Neurodegenerative, Clinical Research, Brain Disorders, Autoimmune Disease, Human Genome, 2.1 Biological and endogenous factors, Neurological, Inflammatory and immune system, General Science & Technology
Abstract

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.

Published
2011

26. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Author

Sawcer, Stephen, Hellenthal, Garrett, Pirinen, Matti, Spencer, Chris CA, Patsopoulos, Nikolaos A, Moutsianas, Loukas, Dilthey, Alexander, Su, Zhan, Freeman, Colin, Hunt, Sarah E, Edkins, Sarah, Gray, Emma, Booth, David R, Potter, Simon C, Goris, An, Band, Gavin, Oturai, Annette Bang, Strange, Amy, Saarela, Janna, Bellenguez, Celine, Fontaine, Bertrand, Gillman, Matthew, Hemmer, Bernhard, Gwilliam, Rhian, Zipp, Frauke, Jayakumar, Alagurevathi, Martin, Roland, Leslie, Stephen, Hawkins, Stanley, Giannoulatou, Eleni, D'alfonso, Sandra, Blackburn, Hannah, Boneschi, Filippo Martinelli, Liddle, Jennifer, Harbo, Hanne F, Perez, Marc L, Spurkland, Anne, Waller, Matthew J, Mycko, Marcin P, Ricketts, Michelle, Comabella, Manuel, Hammond, Naomi, Kockum, Ingrid, McCann, Owen T, Ban, Maria, Whittaker, Pamela, Kemppinen, Anu, Weston, Paul, Hawkins, Clive, Widaa, Sara, Zajicek, John, Dronov, Serge, Robertson, Neil, Bumpstead, Suzannah J, Barcellos, Lisa F, Ravindrarajah, Rathi, Abraham, Roby, Alfredsson, Lars, Ardlie, Kristin, Aubin, Cristin, Baker, Amie, Baker, Katharine, Baranzini, Sergio E, Bergamaschi, Laura, Bergamaschi, Roberto, Bernstein, Allan, Berthele, Achim, Boggild, Mike, Bradfield, Jonathan P, Brassat, David, Broadley, Simon A, Buck, Dorothea, Butzkueven, Helmut, Capra, Ruggero, Carroll, William M, Cavalla, Paola, Celius, Elisabeth G, Cepok, Sabine, Chiavacci, Rosetta, Clerget-Darpoux, Francoise, Clysters, Katleen, Comi, Giancarlo, Cossburn, Mark, Cournu-Rebeix, Isabelle, Cox, Mathew B, Cozen, Wendy, Cree, Bruce AC, Cross, Anne H, Cusi, Daniele, Daly, Mark J, Davis, Emma, de Bakker, Paul IW, Debouverie, Marc, D'hooghe, Marie Beatrice, Dixon, Katherine, Dobosi, Rita, Dubois, Benedicte, Ellinghaus, David, Elovaara, Irina, and Esposito, Federica

Subjects
Neurosciences, Prevention, Multiple Sclerosis, Biotechnology, Autoimmune Disease, Genetics, Brain Disorders, Human Genome, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, Inflammatory and immune system, Alleles, Cell Differentiation, Europe, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, HLA-A Antigens, HLA-DR Antigens, HLA-DRB1 Chains, Humans, Immunity, Cellular, Major Histocompatibility Complex, Polymorphism, Single Nucleotide, Sample Size, T-Lymphocytes, Helper-Inducer, International Multiple Sclerosis Genetics Consortium, Wellcome Trust Case Control Consortium 2, General Science & Technology
Abstract

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.

Published
2011

27. The interaction between smoking and HLA genes in multiple sclerosis: replication and refinement

Author

Hedström, Anna Karin, Katsoulis, Michail, Hössjer, Ola, Bomfim, Izaura L., Oturai, Annette, Sondergaard, Helle Bach, Sellebjerg, Finn, Ullum, Henrik, Thørner, Lise Wegner, Gustavsen, Marte Wendel, Harbo, Hanne F., Obradovic, Dragana, Gianfrancesco, Milena A., Barcellos, Lisa F., Schaefer, Catherine A., Hillert, Jan, Kockum, Ingrid, Olsson, Tomas, and Alfredsson, Lars

Published
2017

28. T cell responses to SARS-CoV-2 vaccination differ by disease-modifying therapy for multiple sclerosis

Author

Wolf, Asia-Sophia, primary, Ravussin, Anthony, additional, König, Marton, additional, Øverås, Mathias H., additional, Solum, Guri, additional, Kjønstad, Ingrid Fadum, additional, Chopra, Adity, additional, Holmøy, Trygve, additional, Harbo, Hanne F., additional, Syversen, Silje Watterdal, additional, Jørgensen, Kristin Kaasen, additional, Høgestøl, Einar August, additional, Vaage, Jon Torgils, additional, Celius, Elisabeth G., additional, Lund-Johansen, Fridtjof, additional, Munthe, Ludvig A., additional, Nygaard, Gro Owren, additional, and Mjaaland, Siri, additional

Published
2023
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29. Impact of treatment on cellular immunophenotype in MS: A cross-sectional study

Author

Cellerino, Maria, Ivaldi, Federico, Pardini, Matteo, Rotta, Gianluca, Vila, Gemma, Bäcker-Koduah, Priscilla, Berge, Tone, Laroni, Alice, Lapucci, Caterina, Novi, Giovanni, Boffa, Giacomo, Sbragia, Elvira, Palmeri, Serena, Asseyer, Susanna, Høgestøl, Einar, Campi, Cristina, Piana, Michele, Inglese, Matilde, Paul, Friedemann, Harbo, Hanne F., Villoslada, Pablo, Kerlero de Rosbo, Nicole, and Uccelli, Antonio

Published
2020
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30. Using The Virtual Brain to study the relationship between structural and functional connectivity in patients with multiple sclerosis: a multicenter study

Author

Martí-Juan, Gerard, primary, Sastre-Garriga, Jaume, additional, Martinez-Heras, Eloy, additional, Vidal-Jordana, Angela, additional, Llufriu, Sara, additional, Groppa, Sergiu, additional, Gonzalez-Escamilla, Gabriel, additional, Rocca, Maria A, additional, Filippi, Massimo, additional, Høgestøl, Einar A, additional, Harbo, Hanne F, additional, Foster, Michael A, additional, Toosy, Ahmed T, additional, Schoonheim, Menno M, additional, Tewarie, Prejaas, additional, Pontillo, Giuseppe, additional, Petracca, Maria, additional, Rovira, Àlex, additional, Deco, Gustavo, additional, and Pareto, Deborah, additional

Published
2023
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34. The Effect of Smoking on Long-term Gray Matter Atrophy and Clinical Disability in Patients with Relapsing-Remitting Multiple Sclerosis

Author

Lie, Ingrid Anne, primary, Wesnes, Kristin, additional, Kvistad, Silje S., additional, Brouwer, Iman, additional, Wergeland, Stig, additional, Holmøy, Trygve, additional, Midgard, Rune, additional, Bru, Alla, additional, Edland, Astrid, additional, Eikeland, Randi, additional, Gosal, Sonia, additional, Harbo, Hanne F., additional, Kleveland, Grethe, additional, Sørenes, Yvonne S., additional, Øksendal, Nina, additional, Barkhof, Frederik, additional, Vrenken, Hugo, additional, Myhr, Kjell-Morten, additional, Bø, Lars, additional, and Torkildsen, Øivind, additional

Published
2022
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35. T cell responses to SARS-CoV-2 vaccination in people with multiple sclerosis differ between disease-modifying therapies

Author

Wolf, Asia-Sophia, primary, Ravussin, Anthony, additional, König, Marton, additional, Øverås, Mathias H., additional, Solum, Guri, additional, Kjønstad, Ingrid Fadum, additional, Chopra, Adity, additional, Holmøy, Trygve, additional, Harbo, Hanne F., additional, Syversen, Silje Watterdal, additional, Jørgensen, Kristin Kaasen, additional, Høgestøl, Einar August, additional, Vaage, Jon Torgils, additional, Celius, Elisabeth G., additional, Lund-Johansen, Fridtjof, additional, Munthe, Ludvig A., additional, Nygaard, Gro Owren, additional, and Mjaaland, Siri, additional

Published
2022
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36. Oligoclonal band phenotypes in MS differ in their HLA class II association, while specific KIR ligands at HLA class I show association to MS in general

Author

Gustavsen, Marte W., Viken, Marte K., Celius, Elisabeth G., Berge, Tone, Mero, Inger-Lise, Berg-Hansen, Pål, Aarseth, Jan H., Myhr, Kjell-Morten, Søndergaard, Helle B., Sellebjerg, Finn, Oturai, Annette B., Hillert, Jan, Alfredsson, Lars, Olsson, Tomas, Kockum, Ingrid, Lie, Benedicte A., and Harbo, Hanne F.

Published
2014
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37. Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, primary, Høgestøl, Einar A, additional, de Rodez Benavent, Sigrid A, additional, Berg-Hansen, Pål, additional, Beyer, Mona K, additional, Leikfoss, Ingvild Sørum, additional, Bos, Steffan D, additional, Sowa, Piotr, additional, Brunborg, Cathrine, additional, Andorra, Magi, additional, Pulido Valdeolivas, Irene, additional, Asseyer, Susanna, additional, Brandt, Alexander, additional, Chien, Claudia, additional, Scheel, Michael, additional, Blennow, Kaj, additional, Zetterberg, Henrik, additional, Kerlero de Rosbo, Nicole, additional, Paul, Friedemann, additional, Uccelli, Antonio, additional, Villoslada, Pablo, additional, Berge, Tone, additional, and Harbo, Hanne F, additional

Published
2022
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38. Serum neurofilament as a predictor of 10-year grey matter atrophy and clinical disability in multiple sclerosis: a longitudinal study

Author

Lie, Ingrid Anne, primary, Kaçar, Sezgi, additional, Wesnes, Kristin, additional, Brouwer, Iman, additional, Kvistad, Silje S, additional, Wergeland, Stig, additional, Holmøy, Trygve, additional, Midgard, Rune, additional, Bru, Alla, additional, Edland, Astrid, additional, Eikeland, Randi, additional, Gosal, Sonia, additional, Harbo, Hanne F, additional, Kleveland, Grethe, additional, Sørenes, Yvonne S, additional, Øksendal, Nina, additional, Varhaug, Kristin N, additional, Vedeler, Christian A, additional, Barkhof, Frederik, additional, Teunissen, Charlotte E, additional, Bø, Lars, additional, Torkildsen, Øivind, additional, Myhr, Kjell-Morten, additional, and Vrenken, Hugo, additional

Published
2022
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39. Exploring Retinal Blood Vessel Diameters as Biomarkers in Multiple Sclerosis

Author

Drobnjak Nes, Dragana, primary, Berg-Hansen, Pål, additional, de Rodez Benavent, Sigrid A., additional, Høgestøl, Einar A., additional, Beyer, Mona K., additional, Rinker, Daniel A., additional, Veiby, Nina, additional, Karabeg, Mia, additional, Petrovski, Beáta Éva, additional, Celius, Elisabeth G., additional, Harbo, Hanne F., additional, and Petrovski, Goran, additional

Published
2022
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40. sj-pdf-2-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-2-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
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41. sj-docx-13-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-13-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
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42. sj-docx-9-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-9-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
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43. sj-docx-8-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-8-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
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44. sj-pdf-3-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-3-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
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45. sj-pdf-1-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-1-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
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46. sj-pdf-4-msj-10.1177_13524585221097296 – Supplemental material for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis

Author

Brune, Synne, Høgestøl, Einar A, de Rodez Benavent, Sigrid A, Berg-Hansen, Pål, Beyer, Mona K, Leikfoss, Ingvild Sørum, Bos, Steffan D, Sowa, Piotr, Brunborg, Cathrine, Andorra, Magi, Pulido Valdeolivas, Irene, Asseyer, Susanna, Brandt, Alexander, Chien, Claudia, Scheel, Michael, Blennow, Kaj, Zetterberg, Henrik, Kerlero de Rosbo, Nicole, Paul, Friedemann, Uccelli, Antonio, Villoslada, Pablo, Berge, Tone, and Harbo, Hanne F

Subjects
FOS: Clinical medicine, 111702 Aged Health Care, FOS: Health sciences, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-pdf-4-msj-10.1177_13524585221097296 for Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis by Synne Brune, Einar A Høgestøl, Sigrid A de Rodez Benavent, Pål Berg-Hansen, Mona K Beyer, Ingvild Sørum Leikfoss, Steffan D Bos, Piotr Sowa, Cathrine Brunborg, Magi Andorra, Irene Pulido Valdeolivas, Susanna Asseyer, Alexander Brandt, Claudia Chien, Michael Scheel, Kaj Blennow, Henrik Zetterberg, Nicole Kerlero de Rosbo, Friedemann Paul, Antonio Uccelli, Pablo Villoslada, Tone Berge and Hanne F Harbo in Multiple Sclerosis Journal

Published
2022
Full Text
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47. Genome-Wide Association Study of Late-Onset Myasthenia Gravis: Confirmation of TNFRSF11A and Identification of ZBTB10 and Three Distinct HLA Associations

Author

Seldin, Michael F., Alkhairy, Omar K., Lee, Annette T., Lamb, Janine A., Sussman, Jon, Pirskanen-Matell, Ritva, Piehl, Fredrik, Verschuuren, Jan J. G. M., Kostera-Pruszczyk, Anna, Szczudlik, Piotr, McKee, David, Maniaol, Angelina H., Harbo, Hanne F., Lie, Benedicte A., Melms, Arthur, Garchon, Henri-Jean, Willcox, Nicholas, Gregersen, Peter K., and Hammarstrom, Lennart

Published
2015
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48. Fourteen sequence variants that associate with multiple sclerosis discovered by meta-analysis informed by genetic correlations

Author

Olafsson, Sigurgeir, Stridh, Pernilla, Bos, Steffan Daniël, Ingason, Andres, Euesden, Jack, Sulem, Patrick, Thorleifsson, Gudmar, Gustafsson, Omar, Johannesson, Ari, Geirsson, Arni J., Thorsson, Arni V., Sigurgeirsson, Bardur, Ludviksson, Bjorn Runar, Olafsson, Elias, Kristjansdottir, Helga, Jonasson, Jon G., Olafsson, Jon Hjaltalin, Orvar, Kjartan B., Benediktsson, Rafn, Bjarnason, Ragnar, Kristjansdottir, Sjofn, Gislason, Thorarinn, Valdimarsson, Trausti, Mikaelsdottir, Evgenia, Sigurdsson, Snaevar, Jonsson, Stefan, Rafnar, Thorunn, Aarsland, Dag, Djurovic, Srdjan, Fladby, Tormod, Knudsen, Gun Peggy, Celius, Elisabeth G., Myhr, Kjell-Morten, Grondal, Gerdur, Steinsson, Kristjan, Valdimarsson, Helgi, Bjornsson, Sigurdur, Bjornsdottir, Unnur S., Bjornsson, Einar S, Nilsson, Bjorn, Andreassen, Ole A., Alfredsson, Lars, Hillert, Jan, Kockum, Ingrid Skelton, Masson, Gisli, Thorsteinsdottir, Unnur, Gudbjartsson, Daniel F., Stefansson, Hreinn, Hjaltason, Haukur, Harbo, Hanne F., Olsson, Tomas, Jonsdottir, Ingileif, and Stefansson, Kari

Published
2017
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49. Deep neural networks learn general and clinically relevant representations of the ageing brain

Author

Leonardsen, Esten H., primary, Peng, Han, additional, Kaufmann, Tobias, additional, Agartz, Ingrid, additional, Andreassen, Ole A., additional, Celius, Elisabeth Gulowsen, additional, Espeseth, Thomas, additional, Harbo, Hanne F., additional, Høgestøl, Einar A., additional, de Lange, Ann-Marie, additional, Marquand, Andre F., additional, Vidal-Piñeiro, Didac, additional, Roe, James M., additional, Selbæk, Geir, additional, Sørensen, Øystein, additional, Smith, Stephen M., additional, Westlye, Lars T., additional, Wolfers, Thomas, additional, and Wang, Yunpeng, additional

Published
2021
Full Text
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