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Your search keyword '"Celius, Elisabeth G."' showing total 6 results
Start Over Author "Celius, Elisabeth G." Journal nature genetics
6 results on '"Celius, Elisabeth G."'

1. 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

2. Variation in interleukin 7 receptor α chain (IL7R) influences risk of multiple sclerosis

Author

Lundmark, Frida, primary, Duvefelt, Kristina, additional, Iacobaeus, Ellen, additional, Kockum, Ingrid, additional, Wallström, Erik, additional, Khademi, Mohsen, additional, Oturai, Annette, additional, Ryder, Lars P, additional, Saarela, Janna, additional, Harbo, Hanne F, additional, Celius, Elisabeth G, additional, Salter, Hugh, additional, Olsson, Tomas, additional, and Hillert, Jan, additional

Published
2007
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3. Class II HLA interactions modulate genetic risk for multiple sclerosis.

Author

Moutsianas L, Jostins L, Beecham AH, Dilthey AT, Xifara DK, Ban M, Shah TS, Patsopoulos NA, Alfredsson L, Anderson CA, Attfield KE, Baranzini SE, Barrett J, Binder TMC, Booth D, Buck D, Celius EG, Cotsapas C, D'Alfonso S, Dendrou CA, Donnelly P, Dubois B, Fontaine B, Fugger L, Goris A, Gourraud PA, Graetz C, Hemmer B, Hillert J, Kockum I, Leslie S, Lill CM, Martinelli-Boneschi F, Oksenberg JR, Olsson T, Oturai A, Saarela J, Søndergaard HB, Spurkland A, Taylor B, Winkelmann J, Zipp F, Haines JL, Pericak-Vance MA, Spencer CCA, Stewart G, Hafler DA, Ivinson AJ, Harbo HF, Hauser SL, De Jager PL, Compston A, McCauley JL, Sawcer S, and McVean G

Subjects
Alleles, Epistasis, Genetic, Histocompatibility Antigens Class II genetics, Humans, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Histocompatibility Antigens Class II immunology, Multiple Sclerosis genetics
Abstract

Association studies have greatly refined the understanding of how variation within the human leukocyte antigen (HLA) genes influences risk of multiple sclerosis. However, the extent to which major effects are modulated by interactions is poorly characterized. We analyzed high-density SNP data on 17,465 cases and 30,385 controls from 11 cohorts of European ancestry, in combination with imputation of classical HLA alleles, to build a high-resolution map of HLA genetic risk and assess the evidence for interactions involving classical HLA alleles. Among new and previously identified class II risk alleles (HLA-DRB1*15:01, HLA-DRB1*13:03, HLA-DRB1*03:01, HLA-DRB1*08:01 and HLA-DQB1*03:02) and class I protective alleles (HLA-A*02:01, HLA-B*44:02, HLA-B*38:01 and HLA-B*55:01), we find evidence for two interactions involving pairs of class II alleles: HLA-DQA1*01:01-HLA-DRB1*15:01 and HLA-DQB1*03:01-HLA-DQB1*03:02. We find no evidence for interactions between classical HLA alleles and non-HLA risk-associated variants and estimate a minimal effect of polygenic epistasis in modulating major risk alleles.

Published
2015
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4. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis.

Author

Beecham AH, Patsopoulos NA, Xifara DK, Davis MF, Kemppinen A, Cotsapas C, Shah TS, Spencer C, Booth D, Goris A, Oturai A, Saarela J, Fontaine B, Hemmer B, Martin C, Zipp F, D'Alfonso S, Martinelli-Boneschi F, Taylor B, Harbo HF, Kockum I, Hillert J, Olsson T, Ban M, Oksenberg JR, Hintzen R, Barcellos LF, Agliardi C, Alfredsson L, Alizadeh M, Anderson C, Andrews R, Søndergaard HB, Baker A, Band G, Baranzini SE, Barizzone N, Barrett J, Bellenguez C, Bergamaschi L, Bernardinelli L, Berthele A, Biberacher V, Binder TM, Blackburn H, Bomfim IL, Brambilla P, Broadley S, Brochet B, Brundin L, Buck D, Butzkueven H, Caillier SJ, Camu W, Carpentier W, Cavalla P, Celius EG, Coman I, Comi G, Corrado L, Cosemans L, Cournu-Rebeix I, Cree BA, Cusi D, Damotte V, Defer G, Delgado SR, Deloukas P, di Sapio A, Dilthey AT, Donnelly P, Dubois B, Duddy M, Edkins S, Elovaara I, Esposito F, Evangelou N, Fiddes B, Field J, Franke A, Freeman C, Frohlich IY, Galimberti D, Gieger C, Gourraud PA, Graetz C, Graham A, Grummel V, Guaschino C, Hadjixenofontos A, Hakonarson H, Halfpenny C, Hall G, Hall P, Hamsten A, Harley J, Harrower T, Hawkins C, Hellenthal G, Hillier C, Hobart J, Hoshi M, Hunt SE, Jagodic M, Jelčić I, Jochim A, Kendall B, Kermode A, Kilpatrick T, Koivisto K, Konidari I, Korn T, Kronsbein H, Langford C, Larsson M, Lathrop M, Lebrun-Frenay C, Lechner-Scott J, Lee MH, Leone MA, Leppä V, Liberatore G, Lie BA, Lill CM, Lindén M, Link J, Luessi F, Lycke J, Macciardi F, Männistö S, Manrique CP, Martin R, Martinelli V, Mason D, Mazibrada G, McCabe C, Mero IL, Mescheriakova J, Moutsianas L, Myhr KM, Nagels G, Nicholas R, Nilsson P, Piehl F, Pirinen M, Price SE, Quach H, Reunanen M, Robberecht W, Robertson NP, Rodegher M, Rog D, Salvetti M, Schnetz-Boutaud NC, Sellebjerg F, Selter RC, Schaefer C, Shaunak S, Shen L, Shields S, Siffrin V, Slee M, Sorensen PS, Sorosina M, Sospedra M, Spurkland A, Strange A, Sundqvist E, Thijs V, Thorpe J, Ticca A, Tienari P, van Duijn C, Visser EM, Vucic S, Westerlind H, Wiley JS, Wilkins A, Wilson JF, Winkelmann J, Zajicek J, Zindler E, Haines JL, Pericak-Vance MA, Ivinson AJ, Stewart G, Hafler D, Hauser SL, Compston A, McVean G, De Jager P, Sawcer SJ, and McCauley JL

Subjects
Chromosome Mapping, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, White People genetics, Multiple Sclerosis genetics, Multiple Sclerosis immunology
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
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5. Lack of support for association between the KIF1B rs10492972[C] variant and multiple sclerosis.

Author

Booth DR, Heard RN, Stewart GJ, Cox M, Scott RJ, Lechner-Scott J, Goris A, Dobosi R, Dubois B, Saarela J, Leppä V, Peltonen L, Pirttila T, Cournu-Rebeix I, Fontaine B, Bergamaschi L, D'Alfonso S, Leone M, Lorentzen AR, Harbo HF, Celius EG, Spurkland A, Link J, Kockum I, Olsson T, Hillert J, Ban M, Baker A, Kemppinen A, Sawcer S, Compston A, Robertson NP, De Jager PL, Hafler DA, Barcellos LF, Ivinson AJ, McCauley JL, Pericak-Vance MA, Oksenberg JR, Hauser SL, Sexton D, and Haines J

Subjects
Genetic Predisposition to Disease, Humans, Genetic Variation, Kinesins genetics, Multiple Sclerosis genetics
Published
2010
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6. Variation in interleukin 7 receptor alpha chain (IL7R) influences risk of multiple sclerosis.

Author

Lundmark F, Duvefelt K, Iacobaeus E, Kockum I, Wallström E, Khademi M, Oturai A, Ryder LP, Saarela J, Harbo HF, Celius EG, Salter H, Olsson T, and Hillert J

Subjects
Adult, Case-Control Studies, Denmark, Female, Finland, Gene Expression, Gene Frequency, Genetic Variation, Genotype, Humans, Interleukin-7 genetics, Leukocytes, Mononuclear cytology, Leukocytes, Mononuclear metabolism, Linkage Disequilibrium, Logistic Models, Male, Middle Aged, Multiple Sclerosis cerebrospinal fluid, Norway, RNA, Messenger genetics, RNA, Messenger metabolism, Reverse Transcriptase Polymerase Chain Reaction, Risk Factors, Sweden, Genetic Predisposition to Disease, Multiple Sclerosis genetics, Polymorphism, Single Nucleotide, Receptors, Interleukin-7 genetics
Abstract

Multiple sclerosis is a chronic, often disabling, disease of the central nervous system affecting more than 1 in 1,000 people in most western countries. The inflammatory lesions typical of multiple sclerosis show autoimmune features and depend partly on genetic factors. Of these genetic factors, only the HLA gene complex has been repeatedly confirmed to be associated with multiple sclerosis, despite considerable efforts. Polymorphisms in a number of non-HLA genes have been reported to be associated with multiple sclerosis, but so far confirmation has been difficult. Here, we report compelling evidence that polymorphisms in IL7R, which encodes the interleukin 7 receptor alpha chain (IL7Ralpha), indeed contribute to the non-HLA genetic risk in multiple sclerosis, demonstrating a role for this pathway in the pathophysiology of this disease. In addition, we report altered expression of the genes encoding IL7Ralpha and its ligand, IL7, in the cerebrospinal fluid compartment of individuals with multiple sclerosis.

Published
2007
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