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

Autor: Patsopoulos, NA, Baranzini, SE, Santaniello, A, Shoostari, P, Cotsapas, C, Wong, G, Beecham, AH, James, T, Replogle, J, Vlachos, IS, McCabe, C, Pers, TH, Brandes, A, White, C, Keenan, B, Cimpean, M, Winn, P, Panteliadis, IP, Robbins, A, Andlauer, TFM, Zarzycki, O, Dubois, B, Goris, A, Sondergaard, HB, Sellebjerg, F, Sorensen, PS, Ullum, H, Thorner, LW, Saarela, J, Cournu-Rebeix, I, Damotte, V, Fontaine, B, Guillot-Noel, L, Lathrop, M, Vukusic, S, Berthele, A, Pongratz, V, Gasperi, C, Graetz, C, Grummel, V, Hemmer, B, Hoshi, M, Knier, B, Korn, T, Lill, CM, Luessi, F, Muhlau, M, Zipp, F, Dardiotis, E, Agliardi, C, Amoroso, A, Barizzone, N, Benedetti, MD, Bernardinelli, L, Cavalla, P, Clarelli, F, Comi, G, Cusi, D, Esposito, F, Ferre, L, Galimberti, D, Guaschino, C, Leone, MA, Martinelli, V, Moiola, L, Salvetti, M, Sorosina, M, Vecchio, D, Zauli, A, Santoro, S, Mancini, N, Zuccala, M, Mescheriakova, J, van Duijn, C, Bos, SD, Celius, EG, Spurkland, A, Comabella, M, Montalban, X, Alfredsson, L, Bomfim, IL, Gomez-Cabrero, D, Hillert, J, Jagodic, M, Linden, M, Piehl, F, Jelcic, I, Martin, R, Sospedra, M, Baker, A, Ban, M, Hawkins, C, Hysi, P, Kalra, S, Karpe, F, Khadake, J, Lachance, G, Molyneux, P, Neville, M, Thorpe, J, Bradshaw, E, Caillier, SJ, Calabresi, P, Cree, BAC, Cross, A, Davis, M, de Bakker, PWI, Delgado, S, Dembele, M, Edwards, K, Fitzgerald, K, Frohlich, IY, Gourraud, PA, Haines, JL, Hakonarson, H, Kimbrough, D, Isobe, N, Konidari, I, Lathi, E, Lee, MH, Li, T, An, D, Zimmer, A, Madireddy, L, Manrique, CP, Mitrovic, M, Olah, M, Patrick, E, Pericak-Vance, MA, Piccio, L, Schaefer, C, Weiner, H, Lage, K, Scott, RJ, Lechner-Scott, J, Leal, R, Moscato, P, Booth, DR, Stewart, GJ, Vucic, S, Pame, G, BamettO, M, Mason, D, GriffithS, L, Broadley, S, Tajouri, L, Baxter, A, Slee, M, Taylor, BV, Charlesworth, J, Kilpatrick, TJ, Rubio, J, Jokubaitis, V, Wiley, J, Butzkueven, H, Leslie, S, Motyer, A, Stankovich, J, Carroll, WM, Kermode, AG, Edrin, M, Barclay, M, Peyrin-Biroulet, L, Chamaillard, M, Colombe, JF, Cottone, M, Croft, A, D'Inca, R, Halfvarson, J, Hanigan, K, Henderson, P, Hugot, JP, Karban, A, Kennedy, NA, Khan, MA, Lemann, M, Levine, A, Massey, D, Milla, M, Motoey, GW, Ng, SME, Oikonomnou, J, Peeters, H, Proctor, DD, Rahier, JF, Roberts, R, Rutgeerts, P, Seibold, F, Stronati, L, Taylor, KM, Torkvist, L, Ublick, K, Van Limbergen, J, Van Gossum, A, Vatn, MH, Zhang, H, Zhang, W, Donnelly, P, Barroso, I, Blackwe, JM, Bramon, E, Brown, MA, Casas, JP, Corvin, A, Deloukas, P, Duncanson, A, Jankowski, J, Markus, HS, Mathew, CG, Palmer, CNA, Plomin, R, Rautanen, A, Sawcer, SJ, Trembath, RC, Viswanathan, AC, Wood, NW, Spencer, CCA, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, R, Strange, A, Sul, Z, Vukcevic, DA, Langford, C, Hunt, SE, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, SJ, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, McCann, OT, Liddle, J, Potter, SC, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, Compston, A, Hafler, D, Harbo, HF, Hauser, SL, Stewart, G, D'Alfonso, S, Hadjigeorgiou, G, Taylor, B, Barcellos, LF, Booth, D, Hintzen, R, Kockum, I, Martinelli-Boneschi, F, McCauley, JL, Oksenberg, JR, Oturai, A, Sawcer, S, Ivinson, AJ, Olsson, T, De Jager, PL

Publikováno v: Science, 365(6460):eaav7188, 1417-+. American Association for the Advancement of Science
Science

Genetic roots of multiple sclerosis The genetics underlying who develops multiple sclerosis (MS) have been difficult to work out. Examining more than 47,000 cases and 68,000 controls with multiple genome-wide association studies, the International Mu

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Low-frequency and rare-coding variation contributes to multiple sclerosis risk

Autor: Mitrovič, M, Patsopoulos, NA, Beecham, AH, Van Duijn, C, Karpe, F

Publikováno v: Cell. 175(6)

Multiple sclerosis is a complex neurological disease, with ∼20% of risk heritability attributable to common genetic variants, including >230 identified by genome-wide association studies. Multiple strands of evidence suggest that much of the remain

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Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci

Autor: Patsopoulos NA, Esposito F, Reischl J, Lehr S, Bauer D, Heubach J, Sandbrink R, Pohl C, Edan G, Kappos L, Miller D, Montalbán X, Polman CH, Freedman MS, Hartung HP, Arnason BGW, COMI , GIANCARLO, Cook S, FILIPPI , MASSIMO, Goodin DS, Jeffery D, O'Connor P, Ebers GC, Langdon D, Reder AT, Traboulsee A, Zipp F, Schimrigk J, Hillert J, Bahlo M, Booth DR, BroadleyS, Brown MA, Browning BL, Browning SR, Butzkueven H, Carroll WM, Chapman C, Foote SJ, Griffiths L, Kermode AG, Kilpatrick TJ, Lechner Scott J, Marriott M, Mason D, Moscato P, Heard RN, Pender MP, Perreau VM, Perera D, Rubio JP, Scott RJ, Slee M, Stankovich J, Stewart GJ, Taylor BV, Tubridy N, Willoughby E, Wiley J, Matthews P, Boneschi F, Compston A, Haines J, Hauser SL, McCauley J, Ivinson A, Oksenberg JR, Pericak Vance M, Sawcer SJ, De Jager PL, Hafler DA, de Bakker PIW, the BSP MS Genetics working group, the steering committees of studies evaluating IFNb 1b, a. CCR1 antagonist, ANZgene Consortium, GeneMSA, International Multiple Sclerosis Genetics Consortium

Publikováno v: Annals of Neurology, 70(6), 897-912. John Wiley and Sons Inc.
Patsopoulos, N A, Bakker, P I W & Polman, C H 2011, ' Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci ', Annals of Neurology, vol. 70, no. 6, pp. 897-912 . https://doi.org/10.1002/ana.22609

OBJECTIVE: To perform a 1-stage meta-analysis of genome-wide association studies (GWAS) of multiple sclerosis (MS) susceptibility and to explore functional consequences of new susceptibility loci. METHODS: We synthesized 7 MS GWAS. Each data set was

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ef8585134ddd788a2ca78fc05301762
https://doi.org/10.1002/ana.22609

A 'Candidate-Interactome' Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis

Autor: Mechelli, R, Umeton, R, Policano, C, Annibali, V, Coarelli, G, Ricigliano, VAG, Vittori, D, Fornasiero, A, Buscarinu, MC, Romano, S, Salvetti, M, Ristori, G, Sawcer, S, Hellenthal, G, Pirinen, M, Spencer, CCA, Patsopoulos, NA, Moutsianas, L, Dilthey, A, Su, Z, Freeman, C, Hunt, SE, Edkins, S, Gray, E, Booth, DR, Potter, SC, Goris, A, Band, G, Oturai, AB, Strange, A, Saarela, J, Bellenguez, C, Fontaine, B, Gillman, M, Hemmer, B, Gwilliam, R, Zipp, F, Jayakumar, A, Martin, R, Leslie, S, Hawkins, S, Giannoulatou, E, D'alfonso, S, Blackburn, H, Boneschi, FM, Liddle, J, Harbo, HF, Perez, ML, Spurkland, A, Waller, MJ, Mycko, MP, Ricketts, M, Comabella, M, Hammond, N, Kockum, I

Publikováno v: Mechelli, R; Umeton, R; Policano, C; Annibali, V; Coarelli, G; Ricigliano, VAG; et al.(2013). A "Candidate-Interactome" Aggregate Analysis of Genome-Wide Association Data in Multiple Sclerosis. PLoS ONE, 8(5). doi: 10.1371/journal.pone.0063300. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/6tq048xx

Though difficult, the study of gene-environment interactions in multifactorial diseases is crucial for interpreting the relevance of non-heritable factors and prevents from overlooking genetic associations with small but measurable effects. We propos

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Reconstructing 2x2 contingency tables from odds ratios: difficulties, constraints and impact in meta-analysis results

Autor: Veroniki AA, Pavlides M, Patsopoulos NA, Salanti G

Publikováno v: Cochrane Colloquium Abstracts Journal 2011.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=erc_________::502193081905426c7c32d2a78089bb35