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1. Rheumatoid arthritis autoantibodies and their association with age and sex

Author

Pertsinidou, Eleftheria, Manivel, Vivek Anand, Westerlind, H., Klareskog, L., Alfredsson, L., Mathsson Alm, Linda, Hansson, M., Saevatsdottir, S., Askling, J., Rönnelid, Johan, Pertsinidou, Eleftheria, Manivel, Vivek Anand, Westerlind, H., Klareskog, L., Alfredsson, L., Mathsson Alm, Linda, Hansson, M., Saevatsdottir, S., Askling, J., and Rönnelid, Johan

Abstract

Objective. To examine the association between individual rheumatoid arthritis (RA) autoantibodies, sex and age at RA onset. Methods. Anti-CCP2, IgA-, IgG- and IgM-RF were analysed centrally in baseline sera from 1600 RA patients diagnosed within one year of RA symptom onset. Cut-offs for RF isotypes were determined at the 98th percentile based on RA-free controls, close to the 98.4% anti-CCP2 specificity. Results. Anti-CCP2 was found in 1020 patients (64%), IgA RF in 692 (43%), IgG RF in 529 (33%) and IgM RF in 916 (57%) of the patients. When assessed one by one, anti-CCP2 and IgM RF were both associated with lower age at RA diagnosis. When assessed in one joint model, the association to IgM RF weakened and a strong association between IgA RF and higher age at RA diagnosis appeared. IgA RF and IgG RF associated with male sex, and IgM RF with female sex, with no difference for anti-CCP2. When the model was adjusted for sex, the association between IgM RF and age disappeared, whereas the strong associations between IgA RF and high age and between anti-CCP2 and low age at diagnosis remained. Further adjustments for smoking, shared epitope and inclusion year did not change the outcome. Univariate analyses stratified on anti-CCP2 and IgA RF status confirmed the findings. Conclusion. Anti-CCP associate with low, and IgA RF with high age at RA onset. RFs and anti-CCP2 display opposing association with sex. These results underscore that studies on RA phenotypes in relation to autoantibodies should accommodate age and sex.

Published
2021

5. Identity-by-descent mapping in a Scandinavian multiple sclerosis cohort

Author

Westerlind, H., Imrell, K., Ramanujam, Ryan, Myhr, K. -M, Celius, E. G., Harbo, H. F., Oturai, A. B., Hamsten, A., Alfredsson, L., Olsson, T., Kockum, I., Koski, Timo, Hillert, J., Westerlind, H., Imrell, K., Ramanujam, Ryan, Myhr, K. -M, Celius, E. G., Harbo, H. F., Oturai, A. B., Hamsten, A., Alfredsson, L., Olsson, T., Kockum, I., Koski, Timo, and Hillert, J.

Abstract

In an attempt to map chromosomal regions carrying rare gene variants contributing to the risk of multiple sclerosis (MS), we identified segments shared identical-by-descent (IBD) using the software BEAGLE 4.0's refined IBD analysis. IBD mapping aims at identifying segments inherited from a common ancestor and shared more frequently in case-case pairs. A total of 2106 MS patients of Nordic origin and 624 matched controls were genotyped on Illumina Human Quad 660 chip and an additional 1352 ethnically matched controls typed on Illumina HumanHap 550 and Illumina 1M were added. The quality control left a total of 441 731 markers for the analysis. After identification of segments shared by descent and significance testing, a filter function for markers with low IBD sharing was applied. Four regions on chromosomes 5, 9, 14 and 19 were found to be significantly associated with the risk for MS. However, all markers but for one were located telomerically, including the very distal markers. For methodological reasons, such segments have a low sharing of IBD signals and are prone to be false positives. One marker on chromosome 19 reached genome-wide significance and was not one of the distal markers. This marker was located within the GNA11 gene, which contains no previous association with MS. We conclude that IBD mapping is not sufficiently powered to identify MS risk loci even in ethnically relatively homogenous populations, or that alternatively rare variants are not adequately present., QC 20150608

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

Author

Beecham, A.H., Patsopoulos, N.A., Xifara, D.K., Davis, M.F., Kemppinen, A., Cotsapas, C., Shah, T.S., 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, H.F., Kockum, I., Hillert, J., Olsson, T., Ban, M., Oksenberg, J.R., Hintzen, R., Barcellos, L.F., Agliardi, C., Alfredsson, L., Alizadeh, M., Anderson, C., Andrews, R., Søndergaard, H.B., Baker, A., Band, G., Baranzini, S.E., Barizzone, N., Barrett, J., Bellenguez, C., Bergamaschi, L., Bernardinelli, L., Berthele, A., Biberacher, V., Binder, T.M.C., Blackburn, H., Bomfim, I.L., Brambilla, P., Broadley, S., Brochet, B., Brundin, L., Buck, D., Butzkueven, H., Caillier, S.J., Camu, W., Carpentier, W., Cavalla, P., Celius, E.G., Coman, I., Comi, G., Corrado, L., Cosemans, L., Cournu-Rebeix, I., Cree, B.A.C., Cusi, D., Damotte, V., Defer, G., Delgado, S.R., Deloukas, P., di Sapio, A., Dilthey, A.T., Donnelly, P., Dubois, B., Duddy, M., Edkins, S., Elovaara, I., Esposito, F., Evangelou, N., Fiddes, B., Field, J., Franke, A., Freeman, C., Frohlich, I.Y., Galimberti, D., Gieger, C., Gourraud, P-A, 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, S.E., 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, M.H., Leone, M.A., Leppä, V., Liberatore, G., Lie, B.A., Lill, C.M., Linden, M., Link, J., Luessi, F., Lycke, J., Macciardi, F., Männistö, S., Manrique, C.P., Martin, R., Martinelli, V., Mason, D., Mazibrada, G., McCabe, C., Mero, I-L, Mescheriakova, J., Moutsianas, L., Myhr, K-M, Nagels, G., Nicholas, R., Nilsson, P., Piehl, F., Pirinen, M., Price, S.E., Quach, H., Reunanen, M., Robberecht, W., Robertson, N.P., Rodegher, M., Rog, D., Salvetti, M., Schnetz-Boutaud, N.C., Sellebjerg, F., Selter, R.C., Schaefer, C., Shaunak, S., Shen, L., Shields, S., Siffrin, V., Slee, M., Sorensen, P.S., Sorosina, M., Sospedra, M., Spurkland, A., Strange, A., Sundqvist, E., Thijs, V., Thorpe, J., Ticca, A., Tienari, P., van Duijn, C., Visser, E.M., Vucic, S., Westerlind, H., Wiley, J.S., Wilkins, A., Wilson, J.F., Winkelmann, J., Zajicek, J., Zindler, E., Haines, J.L., Pericak-Vance, M.A., Ivinson, A.J., Stewart, G., Hafler, D., Hauser, S.L., Compston, A., McVean, G., De Jager, P., Sawcer, S.J., McCauley, J.L., Beecham, A.H., Patsopoulos, N.A., Xifara, D.K., Davis, M.F., Kemppinen, A., Cotsapas, C., Shah, T.S., 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, H.F., Kockum, I., Hillert, J., Olsson, T., Ban, M., Oksenberg, J.R., Hintzen, R., Barcellos, L.F., Agliardi, C., Alfredsson, L., Alizadeh, M., Anderson, C., Andrews, R., Søndergaard, H.B., Baker, A., Band, G., Baranzini, S.E., Barizzone, N., Barrett, J., Bellenguez, C., Bergamaschi, L., Bernardinelli, L., Berthele, A., Biberacher, V., Binder, T.M.C., Blackburn, H., Bomfim, I.L., Brambilla, P., Broadley, S., Brochet, B., Brundin, L., Buck, D., Butzkueven, H., Caillier, S.J., Camu, W., Carpentier, W., Cavalla, P., Celius, E.G., Coman, I., Comi, G., Corrado, L., Cosemans, L., Cournu-Rebeix, I., Cree, B.A.C., Cusi, D., Damotte, V., Defer, G., Delgado, S.R., Deloukas, P., di Sapio, A., Dilthey, A.T., Donnelly, P., Dubois, B., Duddy, M., Edkins, S., Elovaara, I., Esposito, F., Evangelou, N., Fiddes, B., Field, J., Franke, A., Freeman, C., Frohlich, I.Y., Galimberti, D., Gieger, C., Gourraud, P-A, 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, S.E., 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, M.H., Leone, M.A., Leppä, V., Liberatore, G., Lie, B.A., Lill, C.M., Linden, M., Link, J., Luessi, F., Lycke, J., Macciardi, F., Männistö, S., Manrique, C.P., Martin, R., Martinelli, V., Mason, D., Mazibrada, G., McCabe, C., Mero, I-L, Mescheriakova, J., Moutsianas, L., Myhr, K-M, Nagels, G., Nicholas, R., Nilsson, P., Piehl, F., Pirinen, M., Price, S.E., Quach, H., Reunanen, M., Robberecht, W., Robertson, N.P., Rodegher, M., Rog, D., Salvetti, M., Schnetz-Boutaud, N.C., Sellebjerg, F., Selter, R.C., Schaefer, C., Shaunak, S., Shen, L., Shields, S., Siffrin, V., Slee, M., Sorensen, P.S., Sorosina, M., Sospedra, M., Spurkland, A., Strange, A., Sundqvist, E., Thijs, V., Thorpe, J., Ticca, A., Tienari, P., van Duijn, C., Visser, E.M., Vucic, S., Westerlind, H., Wiley, J.S., Wilkins, A., Wilson, J.F., Winkelmann, J., Zajicek, J., Zindler, E., Haines, J.L., Pericak-Vance, M.A., Ivinson, A.J., Stewart, G., Hafler, D., Hauser, S.L., Compston, A., McVean, G., De Jager, P., Sawcer, S.J., and McCauley, J.L.

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. 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, Sondergaard, HB, Baker, A, Band, G, Baranzini, SE, Barizzone, N, Barrett, J, Bellenguez, C, Bergamaschi, L, Bernardinelli, L, Berthele, A, Biberacher, V, Binder, TMC, 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, BAC, 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, P-A, 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, Jelcic, 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, Leppa, V, Liberatore, G, Lie, BA, Lill, CM, Linden, M, Link, J, Luessi, F, Lycke, J, Macciardi, F, Mannisto, S, Manrique, CP, Martin, R, Martinelli, V, Mason, D, Mazibrada, G, McCabe, C, Mero, I-L, Mescheriakova, J, Moutsianas, L, Myhr, K-M, 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, McCauley, JL, 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, Sondergaard, HB, Baker, A, Band, G, Baranzini, SE, Barizzone, N, Barrett, J, Bellenguez, C, Bergamaschi, L, Bernardinelli, L, Berthele, A, Biberacher, V, Binder, TMC, 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, BAC, 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, P-A, 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, Jelcic, 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, Leppa, V, Liberatore, G, Lie, BA, Lill, CM, Linden, M, Link, J, Luessi, F, Lycke, J, Macciardi, F, Mannisto, S, Manrique, CP, Martin, R, Martinelli, V, Mason, D, Mazibrada, G, McCabe, C, Mero, I-L, Mescheriakova, J, Moutsianas, L, Myhr, K-M, 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

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

8. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Author

Beecham, A.H., Patsopoulos, N.A., Xifara, D.K., Davis, M.F., Kemppinen, A., Cotsapas, C., Shah, T.S., 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, H.F., Kockum, I., Hillert, J., Olsson, T., Ban, M., Oksenberg, J.R., Hintzen, R., Barcellos, L.F., Agliardi, C., Alfredsson, L., Alizadeh, M., Anderson, C., Andrews, R., Søndergaard, H.B., Baker, A., Band, G., Baranzini, S.E., Barizzone, N., Barrett, J., Bellenguez, C., Bergamaschi, L., Bernardinelli, L., Berthele, A., Biberacher, V., Binder, T.M.C., Blackburn, H., Bomfim, I.L., Brambilla, P., Broadley, S., Brochet, B., Brundin, L., Buck, D., Butzkueven, H., Caillier, S.J., Camu, W., Carpentier, W., Cavalla, P., Celius, E.G., Coman, I., Comi, G., Corrado, L., Cosemans, L., Cournu-Rebeix, I., Cree, B.A.C., Cusi, D., Damotte, V., Defer, G., Delgado, S.R., Deloukas, P., di Sapio, A., Dilthey, A.T., Donnelly, P., Dubois, B., Duddy, M., Edkins, S., Elovaara, I., Esposito, F., Evangelou, N., Fiddes, B., Field, J., Franke, A., Freeman, C., Frohlich, I.Y., Galimberti, D., Gieger, C., Gourraud, P-A, 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, S.E., 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, M.H., Leone, M.A., Leppä, V., Liberatore, G., Lie, B.A., Lill, C.M., Linden, M., Link, J., Luessi, F., Lycke, J., Macciardi, F., Männistö, S., Manrique, C.P., Martin, R., Martinelli, V., Mason, D., Mazibrada, G., McCabe, C., Mero, I-L, Mescheriakova, J., Moutsianas, L., Myhr, K-M, Nagels, G., Nicholas, R., Nilsson, P., Piehl, F., Pirinen, M., Price, S.E., Quach, H., Reunanen, M., Robberecht, W., Robertson, N.P., Rodegher, M., Rog, D., Salvetti, M., Schnetz-Boutaud, N.C., Sellebjerg, F., Selter, R.C., Schaefer, C., Shaunak, S., Shen, L., Shields, S., Siffrin, V., Slee, M., Sorensen, P.S., Sorosina, M., Sospedra, M., Spurkland, A., Strange, A., Sundqvist, E., Thijs, V., Thorpe, J., Ticca, A., Tienari, P., van Duijn, C., Visser, E.M., Vucic, S., Westerlind, H., Wiley, J.S., Wilkins, A., Wilson, J.F., Winkelmann, J., Zajicek, J., Zindler, E., Haines, J.L., Pericak-Vance, M.A., Ivinson, A.J., Stewart, G., Hafler, D., Hauser, S.L., Compston, A., McVean, G., De Jager, P., Sawcer, S.J., McCauley, J.L., Beecham, A.H., Patsopoulos, N.A., Xifara, D.K., Davis, M.F., Kemppinen, A., Cotsapas, C., Shah, T.S., 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, H.F., Kockum, I., Hillert, J., Olsson, T., Ban, M., Oksenberg, J.R., Hintzen, R., Barcellos, L.F., Agliardi, C., Alfredsson, L., Alizadeh, M., Anderson, C., Andrews, R., Søndergaard, H.B., Baker, A., Band, G., Baranzini, S.E., Barizzone, N., Barrett, J., Bellenguez, C., Bergamaschi, L., Bernardinelli, L., Berthele, A., Biberacher, V., Binder, T.M.C., Blackburn, H., Bomfim, I.L., Brambilla, P., Broadley, S., Brochet, B., Brundin, L., Buck, D., Butzkueven, H., Caillier, S.J., Camu, W., Carpentier, W., Cavalla, P., Celius, E.G., Coman, I., Comi, G., Corrado, L., Cosemans, L., Cournu-Rebeix, I., Cree, B.A.C., Cusi, D., Damotte, V., Defer, G., Delgado, S.R., Deloukas, P., di Sapio, A., Dilthey, A.T., Donnelly, P., Dubois, B., Duddy, M., Edkins, S., Elovaara, I., Esposito, F., Evangelou, N., Fiddes, B., Field, J., Franke, A., Freeman, C., Frohlich, I.Y., Galimberti, D., Gieger, C., Gourraud, P-A, 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, S.E., 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, M.H., Leone, M.A., Leppä, V., Liberatore, G., Lie, B.A., Lill, C.M., Linden, M., Link, J., Luessi, F., Lycke, J., Macciardi, F., Männistö, S., Manrique, C.P., Martin, R., Martinelli, V., Mason, D., Mazibrada, G., McCabe, C., Mero, I-L, Mescheriakova, J., Moutsianas, L., Myhr, K-M, Nagels, G., Nicholas, R., Nilsson, P., Piehl, F., Pirinen, M., Price, S.E., Quach, H., Reunanen, M., Robberecht, W., Robertson, N.P., Rodegher, M., Rog, D., Salvetti, M., Schnetz-Boutaud, N.C., Sellebjerg, F., Selter, R.C., Schaefer, C., Shaunak, S., Shen, L., Shields, S., Siffrin, V., Slee, M., Sorensen, P.S., Sorosina, M., Sospedra, M., Spurkland, A., Strange, A., Sundqvist, E., Thijs, V., Thorpe, J., Ticca, A., Tienari, P., van Duijn, C., Visser, E.M., Vucic, S., Westerlind, H., Wiley, J.S., Wilkins, A., Wilson, J.F., Winkelmann, J., Zajicek, J., Zindler, E., Haines, J.L., Pericak-Vance, M.A., Ivinson, A.J., Stewart, G., Hafler, D., Hauser, S.L., Compston, A., McVean, G., De Jager, P., Sawcer, S.J., and McCauley, J.L.

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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