Search

Your search keyword '"Celius, Elisabeth G."' showing total 9 results
Start Over Author "Celius, Elisabeth G." Topic brain disorders
9 results on '"Celius, Elisabeth G."'

1. 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

2. Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

Author

Patsopoulos, Nikolaos A, Baranzini, Sergio E, Santaniello, Adam, Shoostari, Parisa, Cotsapas, Chris, Wong, Garrett, Beecham, Ashley H, James, Tojo, Replogle, Joseph, Vlachos, Ioannis S, McCabe, Cristin, Pers, Tune H, Brandes, Aaron, White, Charles, Keenan, Brendan, Cimpean, Maria, Winn, Phoebe, Panteliadis, Ioannis-Pavlos, Robbins, Allison, Andlauer, Till FM, Zarzycki, Onigiusz, Dubois, Bénédicte, Goris, An, Søndergaard, Helle Bach, Sellebjerg, Finn, Sorensen, Per Soelberg, Ullum, Henrik, Thørner, Lise Wegner, Saarela, Janna, Cournu-Rebeix, Isabelle, Damotte, Vincent, Fontaine, Bertrand, Guillot-Noel, Lena, Lathrop, Mark, Vukusic, Sandra, Berthele, Achim, Pongratz, Viola, Buck, Dorothea, Gasperi, Christiane, Graetz, Christiane, Grummel, Verena, Hemmer, Bernhard, Hoshi, Muni, Knier, Benjamin, Korn, Thomas, Lill, Christina M, Luessi, Felix, Mühlau, Mark, Zipp, Frauke, Dardiotis, Efthimios, Agliardi, Cristina, Amoroso, Antonio, Barizzone, Nadia, Benedetti, Maria D, Bernardinelli, Luisa, Cavalla, Paola, Clarelli, Ferdinando, Comi, Giancarlo, Cusi, Daniele, Esposito, Federica, Ferrè, Laura, Galimberti, Daniela, Guaschino, Clara, Leone, Maurizio A, Martinelli, Vittorio, Moiola, Lucia, Salvetti, Marco, Sorosina, Melissa, Vecchio, Domizia, Zauli, Andrea, Santoro, Silvia, Mancini, Nicasio, Zuccalà, Miriam, Mescheriakova, Julia, van Duijn, Cornelia, Bos, Steffan D, Celius, Elisabeth G, Spurkland, Anne, Comabella, Manuel, Montalban, Xavier, Alfredsson, Lars, Bomfim, Izaura L, Gomez-Cabrero, David, Hillert, Jan, Jagodic, Maja, Lindén, Magdalena, Piehl, Fredrik, Jelčić, Ilijas, Martin, Roland, Sospedra, Mirela, Baker, Amie, Ban, Maria, Hawkins, Clive, Hysi, Pirro, Kalra, Seema, Karpe, Fredrik, Khadake, Jyoti, Lachance, Genevieve, Molyneux, Paul, and Neville, Matthew

Subjects
Neurosciences, Brain Disorders, Multiple Sclerosis, Human Genome, Autoimmune Disease, Clinical Research, Genetics, Neurodegenerative, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Neurological, Case-Control Studies, Cell Cycle Proteins, Chromosome Mapping, Chromosomes, Human, X, GTPase-Activating Proteins, Gene Frequency, Genetic Loci, Genome-Wide Association Study, Genomics, Humans, Inheritance Patterns, Major Histocompatibility Complex, Microglia, Polymorphism, Single Nucleotide, Quantitative Trait Loci, RNA-Seq, Transcriptome, International Multiple Sclerosis Genetics Consortium, General Science & Technology
Abstract

We analyzed genetic data of 47,429 multiple sclerosis (MS) and 68,374 control subjects and established a reference map of the genetic architecture of MS that includes 200 autosomal susceptibility variants outside the major histocompatibility complex (MHC), one chromosome X variant, and 32 variants within the extended MHC. We used an ensemble of methods to prioritize 551 putative susceptibility genes that implicate multiple innate and adaptive pathways distributed across the cellular components of the immune system. Using expression profiles from purified human microglia, we observed enrichment for MS genes in these brain-resident immune cells, suggesting that these may have a role in targeting an autoimmune process to the central nervous system, although MS is most likely initially triggered by perturbation of peripheral immune responses.

Published
2019

3. 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

4. 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

5. 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
Neurodegenerative, Neurosciences, Clinical Research, Prevention, Multiple Sclerosis, Human Genome, Autoimmune Disease, Brain Disorders, Genetics, 2.1 Biological and endogenous factors, Aetiology, 2.4 Surveillance and distribution, Neurological
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

6. 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

7. 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, Genetics, Neurodegenerative, Autoimmune Disease, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Clinical Sciences, Neurology & Neurosurgery
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

8. 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

9. 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

Catalog

Books, media, physical & digital resources
See catalog results