36 results on '"Børte S"'
Search Results
2. A first pilot study on the neonatal screening of primary immunodeficiencies in Spain: TRECS and KRECS identify severe T- and B-cell lymphopaenia
- Author
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Olbrich, P., de Felipe, B., Delgado-Pecellin, C., Rodero, R., Rojas, P., Aguayo, J., Marquez, J., Casanovas, J., Sánchez, B., Lucena, J.M., Ybot-Gonzalez, P., Borte, S., and Neth, O.
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- 2014
- Full Text
- View/download PDF
3. Primer estudio piloto en España sobre el cribado neonatal de las inmunodeficiencias primarias: TRECS y KRECS identifican linfopenias T y B graves
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Olbrich, P., de Felipe, B., Delgado-Pecellin, C., Rodero, R., Rojas, P., Aguayo, J., Marquez, J., Casanovas, J., Sánchez, B., Lucena, J.M., Ybot-Gonzalez, P., Borte, S., and Neth, O.
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- 2014
- Full Text
- View/download PDF
4. Stroke genetics informs drug discovery and risk prediction across ancestries
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Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., Debette, S., Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., and Debette, S.
- Abstract
Item does not contain fulltext, Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
- Published
- 2022
5. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries (Nature, (2022), 611, 7934, (115-123), 10.1038/s41586-022-05165-3)
- Author
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Mishra, A, Malik, R, Hachiya, T, Jürgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, YC, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, HJ, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Cárcel-Márquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Børte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, YL, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, KJ, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O’Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Mishra, A, Malik, R, Hachiya, T, Jürgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, YC, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, HJ, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Cárcel-Márquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Børte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, YL, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, KJ, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O’Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, and Rich, SS
- Abstract
In the version of this article initially published, the name of the PRECISE4Q Consortium was misspelled as “PRECISEQ” and has now been amended in the HTML and PDF versions of the article. Further, data in the first column of Supplementary Table 55 were mistakenly shifted and have been corrected in the file accompanying the HTML version of the article.
- Published
- 2022
6. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
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Mullins, N. Forstner, A.J. O’Connell, K.S. Coombes, B. Coleman, J.R.I. Qiao, Z. Als, T.D. Bigdeli, T.B. Børte, S. Bryois, J. Charney, A.W. Drange, O.K. Gandal, M.J. Hagenaars, S.P. Ikeda, M. Kamitaki, N. Kim, M. Krebs, K. Panagiotaropoulou, G. Schilder, B.M. Sloofman, L.G. Steinberg, S. Trubetskoy, V. Winsvold, B.S. Won, H.-H. Abramova, L. Adorjan, K. Agerbo, E. Al Eissa, M. Albani, D. Alliey-Rodriguez, N. Anjorin, A. Antilla, V. Antoniou, A. Awasthi, S. Baek, J.H. Bækvad-Hansen, M. Bass, N. Bauer, M. Beins, E.C. Bergen, S.E. Birner, A. Bøcker Pedersen, C. Bøen, E. Boks, M.P. Bosch, R. Brum, M. Brumpton, B.M. Brunkhorst-Kanaan, N. Budde, M. Bybjerg-Grauholm, J. Byerley, W. Cairns, M. Casas, M. Cervantes, P. Clarke, T.-K. Cruceanu, C. Cuellar-Barboza, A. Cunningham, J. Curtis, D. Czerski, P.M. Dale, A.M. Dalkner, N. David, F.S. Degenhardt, F. Djurovic, S. Dobbyn, A.L. Douzenis, A. Elvsåshagen, T. Escott-Price, V. Ferrier, I.N. Fiorentino, A. Foroud, T.M. Forty, L. Frank, J. Frei, O. Freimer, N.B. Frisén, L. Gade, K. Garnham, J. Gelernter, J. Giørtz Pedersen, M. Gizer, I.R. Gordon, S.D. Gordon-Smith, K. Greenwood, T.A. Grove, J. Guzman-Parra, J. Ha, K. Haraldsson, M. Hautzinger, M. Heilbronner, U. Hellgren, D. Herms, S. Hoffmann, P. Holmans, P.A. Huckins, L. Jamain, S. Johnson, J.S. Kalman, J.L. Kamatani, Y. Kennedy, J.L. Kittel-Schneider, S. Knowles, J.A. Kogevinas, M. Koromina, M. Kranz, T.M. Kranzler, H.R. Kubo, M. Kupka, R. Kushner, S.A. Lavebratt, C. Lawrence, J. Leber, M. Lee, H.-J. Lee, P.H. Levy, S.E. Lewis, C. Liao, C. Lucae, S. Lundberg, M. MacIntyre, D.J. Magnusson, S.H. Maier, W. Maihofer, A. Malaspina, D. Maratou, E. Martinsson, L. Mattheisen, M. McCarroll, S.A. McGregor, N.W. McGuffin, P. McKay, J.D. Medeiros, H. Medland, S.E. Millischer, V. Montgomery, G.W. Moran, J.L. Morris, D.W. Mühleisen, T.W. O’Brien, N. O’Donovan, C. Olde Loohuis, L.M. Oruc, L. Papiol, S. Pardiñas, A.F. Perry, A. Pfennig, A. Porichi, E. Potash, J.B. Quested, D. Raj, T. Rapaport, M.H. DePaulo, J.R. Regeer, E.J. Rice, J.P. Rivas, F. Rivera, M. Roth, J. Roussos, P. Ruderfer, D.M. Sánchez-Mora, C. Schulte, E.C. Senner, F. Sharp, S. Shilling, P.D. Sigurdsson, E. Sirignano, L. Slaney, C. Smeland, O.B. Smith, D.J. Sobell, J.L. Søholm Hansen, C. Soler Artigas, M. Spijker, A.T. Stein, D.J. Strauss, J.S. Świątkowska, B. Terao, C. Thorgeirsson, T.E. Toma, C. Tooney, P. Tsermpini, E.-E. Vawter, M.P. Vedder, H. Walters, J.T.R. Witt, S.H. Xi, S. Xu, W. Yang, J.M.K. Young, A.H. Young, H. Zandi, P.P. Zhou, H. Zillich, L. Adolfsson, R. Agartz, I. Alda, M. Alfredsson, L. Babadjanova, G. Backlund, L. Baune, B.T. Bellivier, F. Bengesser, S. Berrettini, W.H. Blackwood, D.H.R. Boehnke, M. Børglum, A.D. Breen, G. Carr, V.J. Catts, S. Corvin, A. Craddock, N. Dannlowski, U. Dikeos, D. Esko, T. Etain, B. Ferentinos, P. Frye, M. Fullerton, J.M. Gawlik, M. Gershon, E.S. Goes, F.S. Green, M.J. Grigoroiu-Serbanescu, M. Hauser, J. Henskens, F. Hillert, J. Hong, K.S. Hougaard, D.M. Hultman, C.M. Hveem, K. Iwata, N. Jablensky, A.V. Jones, I. Jones, L.A. Kahn, R.S. Kelsoe, J.R. Kirov, G. Landén, M. Leboyer, M. Lewis, C.M. Li, Q.S. Lissowska, J. Lochner, C. Loughland, C. Martin, N.G. Mathews, C.A. Mayoral, F. McElroy, S.L. McIntosh, A.M. McMahon, F.J. Melle, I. Michie, P. Milani, L. Mitchell, P.B. Morken, G. Mors, O. Mortensen, P.B. Mowry, B. Müller-Myhsok, B. Myers, R.M. Neale, B.M. Nievergelt, C.M. Nordentoft, M. Nöthen, M.M. O’Donovan, M.C. Oedegaard, K.J. Olsson, T. Owen, M.J. Paciga, S.A. Pantelis, C. Pato, C. Pato, M.T. Patrinos, G.P. Perlis, R.H. Posthuma, D. Ramos-Quiroga, J.A. Reif, A. Reininghaus, E.Z. Ribasés, M. Rietschel, M. Ripke, S. Rouleau, G.A. Saito, T. Schall, U. Schalling, M. Schofield, P.R. Schulze, T.G. Scott, L.J. Scott, R.J. Serretti, A. Shannon Weickert, C. Smoller, J.W. Stefansson, H. Stefansson, K. Stordal, E. Streit, F. Sullivan, P.F. Turecki, G. Vaaler, A.E. Vieta, E. Vincent, J.B. Waldman, I.D. Weickert, T.W. Werge, T. Wray, N.R. Zwart, J.-A. Biernacka, J.M. Nurnberger, J.I. Cichon, S. Edenberg, H.J. Stahl, E.A. McQuillin, A. Di Florio, A. Ophoff, R.A. Andreassen, O.A. HUNT All-In Psychiatry
- Abstract
Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies. © 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
- Published
- 2021
7. A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease
- Author
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Wightman, D. P., Jansen, I. E., Savage, J. E., Shadrin, A. A., Bahrami, S., Holland, D., Rongve, A., Børte, S., Winsvold, B. S., Drange, O. K., Martinsen, A. E., Skogholt, A. H., Willer, C., Bråthen, G., Bosnes, I., Nielsen, J. B., Fritsche, L. G., Thomas, L. F., Pedersen, L. M., Gabrielsen, M. E., Johnsen, M. B., Meisingset, T. W., Zhou, W., Proitsi, P., Hodges, A., Dobson, R., Velayudhan, L., Agee, M., Aslibekyan, S., Babalola, E., Bell, R. K., Bielenberg, J., Bryc, K., Bullis, E., Cameron, B., Coker, D., Partida, G. C., Dhamija, D., Das, S., Elson, S. L., Filshtein, T., Fletez-Brant, K., Fontanillas, P., Freyman, W., Gandhi, P. M., Hicks, B., Hinds, D. A., Huber, K. E., Jewett, E. M., Jiang, Y., Kleinman, A., Kukar, K., Lane, V., Lin, K. -H, Lowe, M., Luff, M. K., McCreight, J. C., McIntyre, M. H., McManus, K. F., Micheletti, S. J., Moreno, M. E., Mountain, J. L., Mozaffari, S. V., Nandakumar, P., Noblin, E. S., O’Connell, J., Petrakovitz, A. A., Poznik, G. D., Schumacher, M., Shastri, A. J., Shelton, J. F., Shi, J., Shringarpure, S., Tian, C., Tran, V., Tung, J. Y., Wang, X., Wang, W., Weldon, C. H., Wilton, P., Sealock, J. M., Davis, L. K., Pedersen, N. L., Reynolds, C. A., Karlsson, Ida K., Magnusson, S., Stefansson, H., Thordardottir, S., Jonsson, P. V., Snaedal, J., Zettergren, A., Skoog, I., Kern, S., Waern, M., Zetterberg, H., Blennow, K., Stordal, E., Hveem, K., Zwart, J. -A, Athanasiu, L., Selnes, P., Saltvedt, I., Sando, S. B., Ulstein, I., Djurovic, S., Fladby, T., Aarsland, D., Selbæk, G., Ripke, S., Stefansson, K., Andreassen, O. A., Posthuma, D., Team, 23andMe Research, Wightman, D. P., Jansen, I. E., Savage, J. E., Shadrin, A. A., Bahrami, S., Holland, D., Rongve, A., Børte, S., Winsvold, B. S., Drange, O. K., Martinsen, A. E., Skogholt, A. H., Willer, C., Bråthen, G., Bosnes, I., Nielsen, J. B., Fritsche, L. G., Thomas, L. F., Pedersen, L. M., Gabrielsen, M. E., Johnsen, M. B., Meisingset, T. W., Zhou, W., Proitsi, P., Hodges, A., Dobson, R., Velayudhan, L., Agee, M., Aslibekyan, S., Babalola, E., Bell, R. K., Bielenberg, J., Bryc, K., Bullis, E., Cameron, B., Coker, D., Partida, G. C., Dhamija, D., Das, S., Elson, S. L., Filshtein, T., Fletez-Brant, K., Fontanillas, P., Freyman, W., Gandhi, P. M., Hicks, B., Hinds, D. A., Huber, K. E., Jewett, E. M., Jiang, Y., Kleinman, A., Kukar, K., Lane, V., Lin, K. -H, Lowe, M., Luff, M. K., McCreight, J. C., McIntyre, M. H., McManus, K. F., Micheletti, S. J., Moreno, M. E., Mountain, J. L., Mozaffari, S. V., Nandakumar, P., Noblin, E. S., O’Connell, J., Petrakovitz, A. A., Poznik, G. D., Schumacher, M., Shastri, A. J., Shelton, J. F., Shi, J., Shringarpure, S., Tian, C., Tran, V., Tung, J. Y., Wang, X., Wang, W., Weldon, C. H., Wilton, P., Sealock, J. M., Davis, L. K., Pedersen, N. L., Reynolds, C. A., Karlsson, Ida K., Magnusson, S., Stefansson, H., Thordardottir, S., Jonsson, P. V., Snaedal, J., Zettergren, A., Skoog, I., Kern, S., Waern, M., Zetterberg, H., Blennow, K., Stordal, E., Hveem, K., Zwart, J. -A, Athanasiu, L., Selnes, P., Saltvedt, I., Sando, S. B., Ulstein, I., Djurovic, S., Fladby, T., Aarsland, D., Selbæk, G., Ripke, S., Stefansson, K., Andreassen, O. A., Posthuma, D., and Team, 23andMe Research
- Abstract
Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer’s disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer’s disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants that contribute to Alzheimer’s pathology.
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- 2021
- Full Text
- View/download PDF
8. Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease
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Bryois, J. Skene, N.G. Hansen, T.F. Kogelman, L.J.A. Watson, H.J. Liu, Z. Adan, R. Alfredsson, L. Ando, T. Andreassen, O. Baker, J. Bergen, A. Berrettini, W. Birgegård, A. Boden, J. Boehm, I. Boni, C. Boraska Perica, V. Brandt, H. Breen, G. Bryois, J. Buehren, K. Bulik, C. Burghardt, R. Cassina, M. Cichon, S. Clementi, M. Coleman, J. Cone, R. Courtet, P. Crawford, S. Crow, S. Crowley, J. Danner, U. Davis, O. de Zwaan, M. Dedoussis, G. Degortes, D. DeSocio, J. Dick, D. Dikeos, D. Dina, C. Dmitrzak-Weglarz, M. Docampo Martinez, E. Duncan, L. Egberts, K. Ehrlich, S. Escaramís, G. Esko, T. Estivill, X. Farmer, A. Favaro, A. Fernández-Aranda, F. Fichter, M. Fischer, K. Föcker, M. Foretova, L. Forstner, A. Forzan, M. Franklin, C. Gallinger, S. Gaspar, H. Giegling, I. Giuranna, J. Giusti-Rodríquez, P. Gonidakis, F. Gordon, S. Gorwood, P. Gratacos Mayora, M. Grove, J. Guillaume, S. Guo, Y. Hakonarson, H. Halmi, K. Hanscombe, K. Hatzikotoulas, K. Hauser, J. Hebebrand, J. Helder, S. Henders, A. Herms, S. Herpertz-Dahlmann, B. Herzog, W. Hinney, A. Horwood, L.J. Hübel, C. Huckins, L. Hudson, J. Imgart, H. Inoko, H. Janout, V. Jiménez-Murcia, S. Johnson, C. Jordan, J. Julià, A. Juréus, A. Kalsi, G. Kaminská, D. Kaplan, A. Kaprio, J. Karhunen, L. Karwautz, A. Kas, M. Kaye, W. Kennedy, J. Kennedy, M. Keski-Rahkonen, A. Kiezebrink, K. Kim, Y.-R. Kirk, K. Klareskog, L. Klump, K. Knudsen, G.P. La Via, M. Landén, M. Larsen, J. Le Hellard, S. Leppä, V. Levitan, R. Li, D. Lichtenstein, P. Lilenfeld, L. Lin, B.D. Lissowska, J. Luykx, J. Magistretti, P. Maj, M. Mannik, K. Marsal, S. Marshall, C. Martin, N. Mattheisen, M. Mattingsdal, M. McDevitt, S. McGuffin, P. Medland, S. Metspalu, A. Meulenbelt, I. Micali, N. Mitchell, J. Mitchell, K. Monteleone, P. Monteleone, A.M. Montgomery, G. Mortensen, P.B. Munn-Chernoff, M. Nacmias, B. Navratilova, M. Norring, C. Ntalla, I. Olsen, C. Ophoff, R. O’Toole, J. Padyukov, L. Palotie, A. Pantel, J. Papezova, H. Parker, R. Pearson, J. Pedersen, N. Petersen, L. Pinto, D. Purves, K. Rabionet, R. Raevuori, A. Ramoz, N. Reichborn-Kjennerud, T. Ricca, V. Ripatti, S. Ripke, S. Ritschel, F. Roberts, M. Rotondo, A. Rujescu, D. Rybakowski, F. Santonastaso, P. Scherag, A. Scherer, S. Schmidt, U. Schork, N. Schosser, A. Seitz, J. Slachtova, L. Slagboom, P.E. Slof-Op ‘t Landt, M. Slopien, A. Sorbi, S. Strober, M. Stuber, G. Sullivan, P. Świątkowska, B. Szatkiewicz, J. Tachmazidou, I. Tenconi, E. Thornton, L. Tortorella, A. Tozzi, F. Treasure, J. Tsitsika, A. Tyszkiewicz-Nwafor, M. Tziouvas, K. van Elburg, A. van Furth, E. Wade, T. Wagner, G. Walton, E. Watson, H. Werge, T. Whiteman, D. Widen, E. Woodside, D.B. Yao, S. Yilmaz, Z. Zeggini, E. Zerwas, S. Zipfel, S. Anttila, V. Artto, V. Belin, A.C. de Boer, I. Boomsma, D.I. Børte, S. Chasman, D.I. Cherkas, L. Christensen, A.F. Cormand, B. Cuenca-Leon, E. Davey-Smith, G. Dichgans, M. van Duijn, C. Esko, T. Esserlind, A.L. Ferrari, M. Frants, R.R. Freilinger, T. Furlotte, N. Gormley, P. Griffiths, L. Hamalainen, E. Hiekkala, M. Ikram, M.A. Ingason, A. Järvelin, M.-R. Kajanne, R. Kallela, M. Kaprio, J. Kaunisto, M. Kogelman, L.J.A. Kubisch, C. Kurki, M. Kurth, T. Launer, L. Lehtimaki, T. Lessel, D. Ligthart, L. Litterman, N. Maagdenberg, A. Macaya, A. Malik, R. Mangino, M. McMahon, G. Muller-Myhsok, B. Neale, B.M. Northover, C. Nyholt, D.R. Olesen, J. Palotie, A. Palta, P. Pedersen, L. Pedersen, N. Posthuma, D. Pozo-Rosich, P. Pressman, A. Raitakari, O. Schürks, M. Sintas, C. Stefansson, K. Stefansson, H. Steinberg, S. Strachan, D. Terwindt, G. Vila-Pueyo, M. Wessman, M. Winsvold, B.S. Zhao, H. Zwart, J.A. Agee, M. Alipanahi, B. Auton, A. Bell, R. Bryc, K. Elson, S. Fontanillas, P. Furlotte, N. Heilbron, K. Hinds, D. Huber, K. Kleinman, A. Litterman, N. McCreight, J. McIntyre, M. Mountain, J. Noblin, E. Northover, C. Pitts, S. Sathirapongsasuti, J. Sazonova, O. Shelton, J. Shringarpure, S. Tian, C. Tung, J. Vacic, V. Wilson, C. Brueggeman, L. Bulik, C.M. Arenas, E. Hjerling-Leffler, J. Sullivan, P.F. International Headache Genetics Consortium Eating Disorders Working Group of the Psychiatric Genomics Consortium
- Abstract
Genome-wide association studies have discovered hundreds of loci associated with complex brain disorders, but it remains unclear in which cell types these loci are active. Here we integrate genome-wide association study results with single-cell transcriptomic data from the entire mouse nervous system to systematically identify cell types underlying brain complex traits. We show that psychiatric disorders are predominantly associated with projecting excitatory and inhibitory neurons. Neurological diseases were associated with different cell types, which is consistent with other lines of evidence. Notably, Parkinson’s disease was genetically associated not only with cholinergic and monoaminergic neurons (which include dopaminergic neurons) but also with enteric neurons and oligodendrocytes. Using post-mortem brain transcriptomic data, we confirmed alterations in these cells, even at the earliest stages of disease progression. Our study provides an important framework for understanding the cellular basis of complex brain maladies, and reveals an unexpected role of oligodendrocytes in Parkinson’s disease. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.
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- 2020
9. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors
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Bakker, M.K., Spek, R.A.A. van der, Rheenen, W. van, Morel, S., Bourcier, R., Hostettler, I.C., Alg, V.S., Eijk, Kristel R. van, Koido, M., Akiyama, M., Terao, C., Matsuda, K., Walters, R.G., Lin, K., Li, L, Millwood, I.Y., Chen, Z., Rouleau, G.A., et al., Zhou, S., Rannikmäe, K., Sudlow, C.L., Houlden, H., Berg, L.H. van den, Dina, C., Naggara, O., Gentric, J.C., Shotar, E., Eugène, F., Desal, H., Winsvold, B.S., Børte, S., Johnsen, M.B., Brumpton, B.M., Sandvei, M.S., Willer, C.J., Hveem, K., Zwart, Jacob A., Verschuren, W.M., Friedrich, C.M., Hirsch, S., Schilling, S., Dauvillier, J., Martin, O., Jones, G.T., Bown, M.J., Ko, N.U., Kim, H., Coleman, J.R.I., Breen, G., Zaroff, J.G., Klijn, C.J.M., Malik, R., Dichgans, M., Sargurupremraj, M., Tatlisumak, T., Amouyel, P., Debette, S., Rinkel, G.J., Worrall, B.B., Pera, J., Slowik, A., Gaál-Paavola, E.I., Niemelä, M., Jääskeläinen, J.E., Fraunberg, M. von Und Zu, Lindgren, A., Broderick, J.P., Werring, D.J., Woo, D., Redon, R., Bijlenga, P., Kamatani, Y., Veldink, J.H., Ruigrok, Y.M., Bakker, M.K., Spek, R.A.A. van der, Rheenen, W. van, Morel, S., Bourcier, R., Hostettler, I.C., Alg, V.S., Eijk, Kristel R. van, Koido, M., Akiyama, M., Terao, C., Matsuda, K., Walters, R.G., Lin, K., Li, L, Millwood, I.Y., Chen, Z., Rouleau, G.A., et al., Zhou, S., Rannikmäe, K., Sudlow, C.L., Houlden, H., Berg, L.H. van den, Dina, C., Naggara, O., Gentric, J.C., Shotar, E., Eugène, F., Desal, H., Winsvold, B.S., Børte, S., Johnsen, M.B., Brumpton, B.M., Sandvei, M.S., Willer, C.J., Hveem, K., Zwart, Jacob A., Verschuren, W.M., Friedrich, C.M., Hirsch, S., Schilling, S., Dauvillier, J., Martin, O., Jones, G.T., Bown, M.J., Ko, N.U., Kim, H., Coleman, J.R.I., Breen, G., Zaroff, J.G., Klijn, C.J.M., Malik, R., Dichgans, M., Sargurupremraj, M., Tatlisumak, T., Amouyel, P., Debette, S., Rinkel, G.J., Worrall, B.B., Pera, J., Slowik, A., Gaál-Paavola, E.I., Niemelä, M., Jääskeläinen, J.E., Fraunberg, M. von Und Zu, Lindgren, A., Broderick, J.P., Werring, D.J., Woo, D., Redon, R., Bijlenga, P., Kamatani, Y., Veldink, J.H., and Ruigrok, Y.M.
- Abstract
Contains fulltext : 229738.pdf (Publisher’s version ) (Closed access), Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.
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- 2020
10. Response to Letter to the Editor: ‘Comments on the paper presenting prediction models for incident hand OA in the HUNT study’
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Johnsen, M.B., primary, Magnusson, K., additional, Børte, S., additional, Gabrielsen, M.E., additional, Winsvold, B.S., additional, Skogholt, A.H., additional, Thomas, L., additional, Storheim, K., additional, Hveem, K., additional, and Zwart, J.-A., additional
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- 2021
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11. Development and validation of a prediction model for hand osteoarthritis
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Johnsen, M.B., primary, Magnusson, K., additional, Børte, S., additional, Gabrielsen, M.E., additional, Winsvold, B.S., additional, Skogholt, A., additional, Thomas, L., additional, Storheim, K., additional, Hveem, K., additional, and Zwart, J.-A., additional
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- 2020
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12. The causal role of smoking on the risk of headache. A Mendelian randomization analysis in the HUNT study
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Johnsen, M. B., primary, Winsvold, B. S., additional, Børte, S., additional, Vie, G. Å., additional, Pedersen, L. M., additional, Storheim, K., additional, Skorpen, F., additional, Hagen, K., additional, Bjørngaard, J. H., additional, Åsvold, B. O., additional, and Zwart, J. A., additional
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- 2018
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13. The causal role of smoking on the risk of headache. A Mendelian randomization analysis in the HUNT study.
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Børte, S., Johnsen, M. B., Zwart, J. A., Pedersen, L. M., Storheim, K., Winsvold, B. S., Åsvold, B. O., Vie, G. Å., Bjørngaard, J. H., Skorpen, F., and Hagen, K.
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SMOKING , *RANDOMIZATION (Statistics) , *HEADACHE , *EPIDEMIOLOGY , *SINGLE nucleotide polymorphisms , *GENOTYPES , *MIGRAINE - Abstract
Background and purpose: Headache has been associated with various lifestyle and psychosocial factors, one of which is smoking. The aim of the present study was to investigate whether the association between smoking intensity and headache is likely to be causal. Method: A total of 58 316 participants from the Nord‐Trøndelag Health (HUNT) study with information on headache status were genotyped for the rs1051730 C>T single‐nucleotide polymorphism (SNP). The SNP was used as an instrument for smoking intensity in a Mendelian randomization analysis. The association between rs1051730 T alleles and headache was estimated by odds ratios with 95% confidence intervals. Additionally, the association between the SNP and migraine or non‐migrainous headache versus no headache was investigated. All analyses were adjusted for age and sex. Results: There was no strong evidence that the rs1051730 T allele was associated with headache in ever smokers (odds ratio 0.99, 95% confidence interval 0.95–1.02). Similarly, there was no association between the rs1051730 T allele and migraine or non‐migrainous headache versus no headache. Conclusion: The findings from this study do not support that there is a strong causal relationship between smoking intensity and any type of headache. Larger Mendelian randomization studies are required to examine whether higher smoking quantity can lead to a moderate increase in the risk of headache subtypes. [ABSTRACT FROM AUTHOR]
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- 2018
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14. Genetic Susceptibility Loci in Genomewide Association Study of Cluster Headache
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Espen Saxhaug Kristoffersen, Ko Willems van Dijk, Aster V.E. Harder, Rigmor H. Jensen, Patricia Pozo-Rosich, Lisanne S. Vijfhuizen, Michel D. Ferrari, John-Anker Zwart, Laurent F. Thomas, Thomas F. Hansen, Emer O'Connor, G.M. Terwindt, Raymond Noordam, Frits R. Rosendaal, Lisette J. A. Kogelman, Rolf Fronczek, Erling Tronvik, Sigrid Børte, Arn M. J. M. van den Maagdenberg, Irene de Boer, Bendik S. Winsvold, Carmen Fourier, Institut Català de la Salut, [Harder AVE] Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands. Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands. [Winsvold BS] Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway. Department of Neurology, Oslo University Hospital, Oslo, Norway. [Noordam R] Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands. [Vijfhuizen LS] Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands. [Børte S] Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway. Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. [Kogelman LJA] Department of Neurology, Danish Headache Center, Rigshospitalet, Glostrup, Denmark. [Pozo-Rosich P] Grup de Recerca en Cefalea, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. Unitat de Cefalea, Servei de Neurologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, Complex Disease Genetics, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, and University of Helsinki
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medicine.medical_specialty ,Linkage disequilibrium ,Genetic Phenomena::Genotype::Genetic Predisposition to Disease [PHENOMENA AND PROCESSES] ,Diàtesi ,Single-nucleotide polymorphism ,Genome-wide association study ,3124 Neurology and psychiatry ,afecciones patológicas, signos y síntomas::procesos patológicos::atributos de la enfermedad::susceptibilidad a enfermedades::predisposición genética a la enfermedad [ENFERMEDADES] ,Internal medicine ,medicine ,Genetic predisposition ,Other subheadings::Other subheadings::/genetics [Other subheadings] ,enfermedades del sistema nervioso::enfermedades del sistema nervioso central::enfermedades cerebrales::trastornos con cefaleas::cefaleas primarias::cefalalgia autónoma del trigémino::cefalea histamínica [ENFERMEDADES] ,Research Articles ,business.industry ,Otros calificadores::Otros calificadores::/genética [Otros calificadores] ,Cluster headache ,3112 Neurosciences ,Cefalàlgia - Aspectes genètics ,Odds ratio ,medicine.disease ,Confidence interval ,3. Good health ,Neurology ,Nervous System Diseases::Central Nervous System Diseases::Brain Diseases::Headache Disorders::Headache Disorders, Primary::Trigeminal Autonomic Cephalalgias::Cluster Headache [DISEASES] ,Population study ,Neurology (clinical) ,business ,Research Article - Abstract
Publisher Copyright: © 2021 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. Objective: Identifying common genetic variants that confer genetic risk for cluster headache. Methods: We conducted a case–control study in the Dutch Leiden University Cluster headache neuro-Analysis program (LUCA) study population (n = 840) and unselected controls from the Netherlands Epidemiology of Obesity Study (NEO; n = 1,457). Replication was performed in a Norwegian sample of 144 cases from the Trondheim Cluster headache sample and 1,800 controls from the Nord-Trøndelag Health Survey (HUNT). Gene set and tissue enrichment analyses, blood cell-derived RNA-sequencing of genes around the risk loci and linkage disequilibrium score regression were part of the downstream analyses. Results: An association was found with cluster headache for 4 independent loci (r2 < 0.1) with genomewide significance (p < 5 × 10−8), rs11579212 (odds ratio [OR] = 1.51, 95% confidence interval [CI] = 1.33–1.72 near RP11-815 M8.1), rs6541998 (OR = 1.53, 95% CI = 1.37–1.74 near MERTK), rs10184573 (OR = 1.43, 95% CI = 1.26–1.61 near AC093590.1), and rs2499799 (OR = 0.62, 95% CI = 0.54–0.73 near UFL1/FHL5), collectively explaining 7.2% of the variance of cluster headache. SNPs rs11579212, rs10184573, and rs976357, as proxy SNP for rs2499799 (r2 = 1.0), replicated in the Norwegian sample (p < 0.05). Gene-based mapping yielded ASZ1 as possible fifth locus. RNA-sequencing indicated differential expression of POLR1B and TMEM87B in cluster headache patients. Interpretation: This genomewide association study (GWAS) identified and replicated genetic risk loci for cluster headache with effect sizes larger than those typically seen in complex genetic disorders. ANN NEUROL 2021;90:203–216.
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- 2021
15. Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling.
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Strom NI, Verhulst B, Bacanu SA, Cheesman R, Purves KL, Gedik H, Mitchell BL, Kwong AS, Faucon AB, Singh K, Medland S, Colodro-Conde L, Krebs K, Hoffmann P, Herms S, Gehlen J, Ripke S, Awasthi S, Palviainen T, Tasanko EM, Peterson RE, Adkins DE, Shabalin AA, Adams MJ, Iveson MH, Campbell A, Thomas LF, Winsvold BS, Drange OK, Børte S, Ter Kuile AR, Nguyen TH, Meier SM, Corfield EC, Hannigan L, Levey DF, Czamara D, Weber H, Choi KW, Pistis G, Couvy-Duchesne B, Van der Auwera S, Teumer A, Karlsson R, Garcia-Argibay M, Lee D, Wang R, Bjerkeset O, Stordal E, Bäckmann J, Salum GA, Zai CC, Kennedy JL, Zai G, Tiwari AK, Heilmann-Heimbach S, Schmidt B, Kaprio J, Kennedy MM, Boden J, Havdahl A, Middeldorp CM, Lopes FL, Akula N, McMahon FJ, Binder EB, Fehm L, Ströhle A, Castelao E, Tiemeier H, Stein DJ, Whiteman D, Olsen C, Fuller Z, Wang X, Wray NR, Byrne EM, Lewis G, Timpson NJ, Davis LK, Hickie IB, Gillespie NA, Milani L, Schumacher J, Woldbye DP, Forstner AJ, Nöthen MM, Hovatta I, Horwood J, Copeland WE, Maes HH, McIntosh AM, Andreassen OA, Zwart JA, Mors O, Børglum AD, Mortensen PB, Ask H, Reichborn-Kjennerud T, Najman JM, Stein MB, Gelernter J, Milaneschi Y, Penninx BW, Boomsma DI, Maron E, Erhardt-Lehmann A, Rück C, Kircher TT, Melzig CA, Alpers GW, Arolt V, Domschke K, Smoller JW, Preisig M, Martin NG, Lupton MK, Luik AI, Reif A, Grabe HJ, Larsson H, Magnusson PK, Oldehinkel AJ, Hartman CA, Breen G, Docherty AR, Coon H, Conrad R, Lehto K, Deckert J, Eley TC, Mattheisen M, and Hettema JM
- Abstract
The major anxiety disorders (ANX; including generalized anxiety disorder, panic disorder, and phobias) are highly prevalent, often onset early, persist throughout life, and cause substantial global disability. Although distinct in their clinical presentations, they likely represent differential expressions of a dysregulated threat-response system. Here we present a genome-wide association meta-analysis comprising 122,341 European ancestry ANX cases and 729,881 controls. We identified 58 independent genome-wide significant ANX risk variants and 66 genes with robust biological support. In an independent sample of 1,175,012 self-report ANX cases and 1,956,379 controls, 51 of the 58 associated variants were replicated. As predicted by twin studies, we found substantial genetic correlation between ANX and depression, neuroticism, and other internalizing phenotypes. Follow-up analyses demonstrated enrichment in all major brain regions and highlighted GABAergic signaling as one potential mechanism underlying ANX genetic risk. These results advance our understanding of the genetic architecture of ANX and prioritize genes for functional follow-up studies., Competing Interests: Per Hoffmann receives Salary from the Life & Brain GmbH, Bonn, Germany. James L. Kennedy is a member of the Scientific Advisory Board for Myriad Neuroscience Inc. Ian B. Hickie was an inaugural Commissioner on Australia’s National Mental Health Commission (2012-18). He is the Co-Director, Health and Policy at the Brain and Mind Centre (BMC) University of Sydney. The BMC operates an early-intervention youth services at Camperdown under contract to headspace. He is the Chief Scientific Advisor to, and a 5% equity shareholder in, InnoWell Pty Ltd. InnoWell was formed by the University of Sydney (45% equity) and PwC (Australia; 45% equity) to deliver the $30 M Australian Government-funded Project Synergy (2017-20; a three-year program for the transformation of mental health services) and to lead transformation of mental health services internationally through the use of innovative technologies. Andrew M. Mcintosh has received research support from Eli Lilly, Janssen, and The Sackler Trust. AMM has also received speaker fees from Illumina and Janssen. Murray B. Stein has in the past 3 years received consulting income from Acadia Pharmaceuticals, Aptinyx, atai Life Sciences, Boehringer Ingelheim, Bionomics, BioXcel Therapeutics, Clexio, Eisai, EmpowerPharm, Engrail Therapeutics, Janssen, Jazz Pharmaceuticals, and Roche/Genentech. Dr. Stein has stock options in Oxeia Biopharmaceuticals and EpiVario. He is paid for his editorial work on Depression and Anxiety (Editor-in-Chief), Biological Psychiatry (Deputy Editor), and UpToDate (Co-Editor-in-Chief for Psychiatry). He has also received research support from NIH, Department of Veterans Affairs, and the Department of Defense. He is on the scientific advisory board for the Brain and Behavior Research Foundation and the Anxiety and Depression Association of America. Joel Gelernter is named as an inventor on PCT patent application #15/878,640 entitled: “Genotype-guided dosing of opioid agonists,” filed January 24, 2018 and issued on January 26, 2021 as U.S. Patent No. 10,900,082; and is paid for editorial work for the journal “Complex Psychiatry.” Iiris Hovatta received speaker’s honoraria from Lundbeck. Ole A. Andreassen received speaker’s honorarium from Lundbeck and Sunovion, consultant for Cortechs.ai and Precision Health AS. Katharina Domschke has been a member of the Steering Committee Neurosciences, Janssen, Inc. until 2022 and is currently a member of the Board of the German National Society of Psychiatry (DGPPN) and the Neurotorium Editorial Board of the Lundbeck Foundation. Jordan W. Smoller is a member of the Scientific Advisory Board of Sensorium Therapeutics (with equity) and has received an honorarium for an internal seminar Tempus Labs. He is PI of a collaborative study of the genetics of depression and bipolar disorder sponsored by 23andMe for which 23andMe provides analysis time as in-kind support but no payments. Eduard Maron has received research support and has also received speaker fees from Lundbeck. Hans J. Grabe has received travel grants and speakers honoraria from Indorsia, Neuraxpharm, Servier and Janssen Cilag. Henrik Larsson has served as a speaker for Evolan Pharma, Medici and Shire/Takeda and has received research grants from Shire/Takeda; all outside the submitted work. Gerome Breen is an advisory board member for Compass Pathways. Jürgen Deckert is a member of the board of the German Society of Biological Psychiatry and is on the scientific advisory boards of non-profit organizations and foundations. Volker Arolt worked as an advisor for Sanofi-Adventis Germany. Zach Fuller and Xin Wang are employees of 23andMe and hold stock or stock options in 23andMe. All other authors have no competing interests to declare.
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- 2024
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16. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder.
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Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babić D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenović AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goleva SB, Gordon SD, Goçi A, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SMJ, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljević M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, Martínez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf C, Wolf EJ, Xia Y, Xiong Y, Yehuda R, Young KA, Young RM, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, deRoon-Cassini T, van Rooij SJH, van den Heuvel LL, Stein MB, Ressler KJ, and Koenen KC
- Subjects
- Humans, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Neurobiology, Polymorphism, Single Nucleotide, White People genetics, White, Black or African American, American Indian or Alaska Native, Stress Disorders, Post-Traumatic genetics
- Abstract
Post-traumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 new). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (for example, GRIA1, GRM8 and CACNA1E), developmental, axon guidance and transcription factors (for example, FOXP2, EFNA5 and DCC), synaptic structure and function genes (for example, PCLO, NCAM1 and PDE4B) and endocrine or immune regulators (for example, ESR1, TRAF3 and TANK). Additional top genes influence stress, immune, fear and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)
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- 2024
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17. Genome-wide association study identifies 30 obsessive-compulsive disorder associated loci.
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Strom NI, Gerring ZF, Galimberti M, Yu D, Halvorsen MW, Abdellaoui A, Rodriguez-Fontenla C, Sealock JM, Bigdeli T, Coleman JR, Mahjani B, Thorp JG, Bey K, Burton CL, Luykx JJ, Zai G, Alemany S, Andre C, Askland KD, Banaj N, Barlassina C, Nissen JB, Bienvenu OJ, Black D, Bloch MH, Boberg J, Børte S, Bosch R, Breen M, Brennan BP, Brentani H, Buxbaum JD, Bybjerg-Grauholm J, Byrne EM, Cabana-Dominguez J, Camarena B, Camarena A, Cappi C, Carracedo A, Casas M, Cavallini MC, Ciullo V, Cook EH, Crosby J, Cullen BA, De Schipper EJ, Delorme R, Djurovic S, Elias JA, Estivill X, Falkenstein MJ, Fundin BT, Garner L, German C, Gironda C, Goes FS, Grados MA, Grove J, Guo W, Haavik J, Hagen K, Harrington K, Havdahl A, Höffler KD, Hounie AG, Hucks D, Hultman C, Janecka M, Jenike E, Karlsson EK, Kelley K, Klawohn J, Krasnow JE, Krebs K, Lange C, Lanzagorta N, Levey D, Lindblad-Toh K, Macciardi F, Maher B, Mathes B, McArthur E, McGregor N, McLaughlin NC, Meier S, Miguel EC, Mulhern M, Nestadt PS, Nurmi EL, O'Connell KS, Osiecki L, Ousdal OT, Palviainen T, Pedersen NL, Piras F, Piras F, Potluri S, Rabionet R, Ramirez A, Rauch S, Reichenberg A, Riddle MA, Ripke S, Rosário MC, Sampaio AS, Schiele MA, Skogholt AH, Sloofman LGSG, Smit J, Soler AM, Thomas LF, Tifft E, Vallada H, van Kirk N, Veenstra-VanderWeele J, Vulink NN, Walker CP, Wang Y, Wendland JR, Winsvold BS, Yao Y, Zhou H, Agrawal A, Alonso P, Berberich G, Bucholz KK, Bulik CM, Cath D, Denys D, Eapen V, Edenberg H, Falkai P, Fernandez TV, Fyer AJ, Gaziano JM, Geller DA, Grabe HJ, Greenberg BD, Hanna GL, Hickie IB, Hougaard DM, Kathmann N, Kennedy J, Lai D, Landén M, Le Hellard S, Leboyer M, Lochner C, McCracken JT, Medland SE, Mortensen PB, Neale BM, Nicolini H, Nordentoft M, Pato M, Pato C, Pauls DL, Piacentini J, Pittenger C, Posthuma D, Ramos-Quiroga JA, Rasmussen SA, Richter MA, Rosenberg DR, Ruhrmann S, Samuels JF, Sandin S, Sandor P, Spalletta G, Stein DJ, Stewart SE, Storch EA, Stranger BE, Turiel M, Werge T, Andreassen OA, Børglum AD, Walitza S, Hveem K, Hansen BK, Rück CP, Martin NG, Milani L, Mors O, Reichborn-Kjennerud T, Ribasés M, Kvale G, Mataix-Cols D, Domschke K, Grünblatt E, Wagner M, Zwart JA, Breen G, Nestadt G, Kaprio J, Arnold PD, Grice DE, Knowles JA, Ask H, Verweij KJ, Davis LK, Smit DJ, Crowley JJ, Scharf JM, Stein MB, Gelernter J, Mathews CA, Derks EM, and Mattheisen M
- Abstract
Obsessive-compulsive disorder (OCD) affects ~1% of the population and exhibits a high SNP-heritability, yet previous genome-wide association studies (GWAS) have provided limited information on the genetic etiology and underlying biological mechanisms of the disorder. We conducted a GWAS meta-analysis combining 53,660 OCD cases and 2,044,417 controls from 28 European-ancestry cohorts revealing 30 independent genome-wide significant SNPs and a SNP-based heritability of 6.7%. Separate GWAS for clinical, biobank, comorbid, and self-report sub-groups found no evidence of sample ascertainment impacting our results. Functional and positional QTL gene-based approaches identified 249 significant candidate risk genes for OCD, of which 25 were identified as putatively causal, highlighting WDR6 , DALRD3 , CTNND1 and genes in the MHC region. Tissue and single-cell enrichment analyses highlighted hippocampal and cortical excitatory neurons, along with D1- and D2-type dopamine receptor-containing medium spiny neurons, as playing a role in OCD risk. OCD displayed significant genetic correlations with 65 out of 112 examined phenotypes. Notably, it showed positive genetic correlations with all included psychiatric phenotypes, in particular anxiety, depression, anorexia nervosa, and Tourette syndrome, and negative correlations with a subset of the included autoimmune disorders, educational attainment, and body mass index.. This study marks a significant step toward unraveling its genetic landscape and advances understanding of OCD genetics, providing a foundation for future interventions to address this debilitating disorder., Competing Interests: Chris German is employed by and hold stock or stock options in 23andMe, Inc. Erika L. Nurmi is on the Scientific Advisory Board for Myriad Genetics and Medical Advisory Board for Tourette Association of America and received Clinical trial funding from Emalex and Octapharma Pharmaceuticals. Jeremy Veenstra-VanderWeele has served on advisory boards or consulted with Roche, Novartis, and SynapDx; received research funding from Roche, Novartis, SynapDx, Seaside Therapeutics, Forest, Janssen, Acadia, Yamo, and MapLight; received stipends for editorial work from Wiley and Springer. Jens R. Wendland is a current employee and shareholder of Takeda Pharmaceuticals and a past employee and shareholder of F. Hoffmann-La Roche, Pfizer and Nestle Health Science. Cynthia M. Bulik reports: Pearson (author, royalty recipient).Peter Falkai reports no conflict of interest regarding this study and reports to have received financial support and Advisory Board: Richter, Recordati, Boehringer-Ingelheim, Otsuka, Janssen and Lundbeck. Hans J. Grabe has received travel grants and speakers honoraria from Fresenius Medical Care, Neuraxpharm, Servier and Janssen Cilag as well as research funding from Fresenius Medical Care. Ian B. Hickie is the Co-Director, Health and Policy at the Brain and Mind Centre (BMC) University of Sydney, Australia. The BMC operates an early-intervention youth services at Camperdown under contract to headspace. Professor Hickie has previously led community-based and pharmaceutical industry-supported (Wyeth, Eli Lily, Servier, Pfizer, AstraZeneca, Janssen Cilag) projects focused on the identification and better management of anxiety and depression. He is the Chief Scientific Advisor to, and a 3.2% equity shareholder in, InnoWell Pty Ltd which aims to transform mental health services through the use of innovative technologies. Benjamin M. Neale is a member of the scientific advisory board at Deep Genomics and Neumora. Christopher Pittenger consults and/or receives research support from Biohaven Pharmaceuticals, Freedom Biosciences, Ceruvia Lifesciences, Transcend Therapeutics, UCB BioPharma, and F-Prime Capital Partners. He owns equity in Alco Therapeutics. These relationships are not related to the current work. Dan J. Stein has received consultancy honoraria from Discovery Vitality, Johnson & Johnson, Kanna, L’Oreal, Lundbeck, Orion, Sanofi, Servier, Takeda and Vistagen. Eric A. Storch reports receiving research funding to his institution from the Ream Foundation, International OCD Foundation, and NIH. He was formerly a consultant for Brainsway and Biohaven Pharmaceuticals in the past 12 months. He owns stock less than $5000 in NView/Proem for distribution related to the YBOCS scales. He receives book royalties from Elsevier, Wiley, Oxford, American Psychological Association, Guildford, Springer, Routledge, and Jessica Kingsley. Ole A. Andreasson reports to be a consultant to Cortechs.ai, Precision Health AS, speakers honorarium from Otsuka, Lundbeck, Sunovion, Janssen. Anders D. Børglum has received speaker fee from Lundbeck. David Mataix-Cols receives royalties for contributing articles to UpToDate, Wolters Kluwer Health, and personal fees for editorial work from Elsevier, all unrelated to the current work. Murray B. Stein has in the past 3 years received consulting income from Acadia Pharmaceuticals, BigHealth, Biogen, Bionomics, Boehringer Ingelheim, Clexio, Eisai, EmpowerPharm, Engrail Therapeutics, Janssen, Jazz Pharmaceuticals, NeuroTrauma Sciences, Otsuka, PureTech Health, Sage Therapeutics, Sumitomo Pharma, and Roche/Genentech. Dr. Stein has stock options in Oxeia Biopharmaceuticals and EpiVario. He has been paid for his editorial work on Depression and Anxiety (Editor-in-Chief), Biological Psychiatry (Deputy Editor), and UpToDate (Co-Editor-in-Chief for Psychiatry). Joel Gelernter is paid for editorial work by the journal Complex Psychiatry. Pino Alonso has received funding from Biohaven, Boston Scientific, Medtronic. All other authors report no conflicts of interest.
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- 2024
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18. COL11A1 is associated with developmental dysplasia of the hip and secondary osteoarthritis in the HUNT study.
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Jacobsen KK, Børte S, Laborie LB, Kristiansen H, Schäfer A, Gundersen T, Zayats T, Slagsvold Winsvold BK, and Rosendahl K
- Abstract
Objective: Developmental dysplasia of the hip (DDH) is a congenital condition affecting 2-3% of all infants. DDH increases the risk of osteoarthritis, is the cause of 30 % of all total hip arthroplasties (THAs) in adults <40 years of age and can result in loss of life quality. Our aim was to explore the genetic background of DDH in order to improve diagnosis, management and longterm outcome., Design: We used the large, ongoing, longitudinal Trøndelag Health Study (HUNT) database. Case definition was based on ICD-9/-10 diagnoses of DDH, or osteoarthritis secondary to DDH. Analyses were performed using SAIGE software, with covariates including sex, batch, birth year and principal components. We included only single nucleotide polymorphisms (SNPs) with minor allele frequency (MAF) ≥ 0.01, R
2 ≥ 0.8 and Hardy-Weinberg equilibrium (HWE) P -value ≥ 0.0001. Significance level was set at p < 5 × 10-8 . Meta-analysis using data from DDH and primary osteoarthritis genome-wide association studies (GWASs) was done using METAL software. The study was approved by the regional ethical committee., Results: Analysis included 69,500 individuals, of which 408 cases, and 8,531,386 SNPs. Two SNPs near COL11A1 were significantly associated with DDH; rs713162 ( β = -0.43, SE = 0.07, p = 8.4 × 10-9 ) and rs6577334 ( β = -0.43, SE = 0.08, p = 8.9 × 10-9 ). COL11A1 has previously been associated with acetabular dysplasia and osteoarthritis. Meta-analysis supported previous GWAS findings of both DDH and primary osteoarthritis., Conclusions: This large, genome-wide case-control study indicates an association between COL11A1 and DDH and is an important contribution to investigating the etiology of DDH, with further research needed., Competing Interests: All authors report no competing interests., (© 2023 The Author(s).)- Published
- 2023
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19. Cluster Headache Genomewide Association Study and Meta-Analysis Identifies Eight Loci and Implicates Smoking as Causal Risk Factor.
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Winsvold BS, Harder AVE, Ran C, Chalmer MA, Dalmasso MC, Ferkingstad E, Tripathi KP, Bacchelli E, Børte S, Fourier C, Petersen AS, Vijfhuizen LS, Magnusson SH, O'Connor E, Bjornsdottir G, Häppölä P, Wang YF, Callesen I, Kelderman T, Gallardo VJ, de Boer I, Olofsgård FJ, Heinze K, Lund N, Thomas LF, Hsu CL, Pirinen M, Hautakangas H, Ribasés M, Guerzoni S, Sivakumar P, Yip J, Heinze A, Küçükali F, Ostrowski SR, Pedersen OB, Kristoffersen ES, Martinsen AE, Artigas MS, Lagrata S, Cainazzo MM, Adebimpe J, Quinn O, Göbel C, Cirkel A, Volk AE, Heilmann-Heimbach S, Skogholt AH, Gabrielsen ME, Wilbrink LA, Danno D, Mehta D, Guðbjartsson DF, Rosendaal FR, Willems van Dijk K, Fronczek R, Wagner M, Scherer M, Göbel H, Sleegers K, Sveinsson OA, Pani L, Zoli M, Ramos-Quiroga JA, Dardiotis E, Steinberg A, Riedel-Heller S, Sjöstrand C, Thorgeirsson TE, Stefansson H, Southgate L, Trembath RC, Vandrovcova J, Noordam R, Paemeleire K, Stefansson K, Fann CS, Waldenlind E, Tronvik E, Jensen RH, Chen SP, Houlden H, Terwindt GM, Kubisch C, Maestrini E, Vikelis M, Pozo-Rosich P, Belin AC, Matharu M, van den Maagdenberg AMJM, Hansen TF, Ramirez A, and Zwart JA
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- Male, Humans, Female, Risk Factors, Genome-Wide Association Study, Smoking adverse effects, Smoking genetics, Polymorphism, Single Nucleotide genetics, Genetic Predisposition to Disease genetics, Cluster Headache epidemiology, Cluster Headache genetics, Migraine Disorders
- Abstract
Objective: The objective of this study was to aggregate data for the first genomewide association study meta-analysis of cluster headache, to identify genetic risk variants, and gain biological insights., Methods: A total of 4,777 cases (3,348 men and 1,429 women) with clinically diagnosed cluster headache were recruited from 10 European and 1 East Asian cohorts. We first performed an inverse-variance genomewide association meta-analysis of 4,043 cases and 21,729 controls of European ancestry. In a secondary trans-ancestry meta-analysis, we included 734 cases and 9,846 controls of East Asian ancestry. Candidate causal genes were prioritized by 5 complementary methods: expression quantitative trait loci, transcriptome-wide association, fine-mapping of causal gene sets, genetically driven DNA methylation, and effects on protein structure. Gene set and tissue enrichment analyses, genetic correlation, genetic risk score analysis, and Mendelian randomization were part of the downstream analyses., Results: The estimated single nucleotide polymorphism (SNP)-based heritability of cluster headache was 14.5%. We identified 9 independent signals in 7 genomewide significant loci in the primary meta-analysis, and one additional locus in the trans-ethnic meta-analysis. Five of the loci were previously known. The 20 genes prioritized as potentially causal for cluster headache showed enrichment to artery and brain tissue. Cluster headache was genetically correlated with cigarette smoking, risk-taking behavior, attention deficit hyperactivity disorder (ADHD), depression, and musculoskeletal pain. Mendelian randomization analysis indicated a causal effect of cigarette smoking intensity on cluster headache. Three of the identified loci were shared with migraine., Interpretation: This first genomewide association study meta-analysis gives clues to the biological basis of cluster headache and indicates that smoking is a causal risk factor. ANN NEUROL 2023;94:713-726., (© 2023 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)
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- 2023
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20. Discovery of 95 PTSD loci provides insight into genetic architecture and neurobiology of trauma and stress-related disorders.
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Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JR, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babic D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, deRoon-Cassini T, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenovic AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goci A, Goleva SB, Gordon SD, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SM, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljevic M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, MartÍnez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum BO, Rothbaum AO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, van den Heuvel LL, Van Hooff M, van Rooij SJ, Vermetten E, Vinkers CH, Voisey J, Wang Z, Wang Y, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf EJ, Wolf C, Xia Y, Xiong Y, Yehuda R, Young RM, Young KA, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, Stein MB, Ressler KJ, and Koenen KC
- Abstract
Posttraumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 novel). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (e.g., GRIA1, GRM8, CACNA1E ), developmental, axon guidance, and transcription factors (e.g., FOXP2, EFNA5, DCC ), synaptic structure and function genes (e.g., PCLO, NCAM1, PDE4B ), and endocrine or immune regulators (e.g., ESR1, TRAF3, TANK ). Additional top genes influence stress, immune, fear, and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.
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- 2023
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21. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries.
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Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, He Y, Georgakis MK, Caro I, Krebs K, Liaw YC, Vaura FC, Lin K, Winsvold BS, Srinivasasainagendra V, Parodi L, Bae HJ, Chauhan G, Chong MR, Tomppo L, Akinyemi R, Roshchupkin GV, Habib N, Jee YH, Thomassen JQ, Abedi V, Cárcel-Márquez J, Nygaard M, Leonard HL, Yang C, Yonova-Doing E, Knol MJ, Lewis AJ, Judy RL, Ago T, Amouyel P, Armstrong ND, Bakker MK, Bartz TM, Bennett DA, Bis JC, Bordes C, Børte S, Cain A, Ridker PM, Cho K, Chen Z, Cruchaga C, Cole JW, de Jager PL, de Cid R, Endres M, Ferreira LE, Geerlings MI, Gasca NC, Gudnason V, Hata J, He J, Heath AK, Ho YL, Havulinna AS, Hopewell JC, Hyacinth HI, Inouye M, Jacob MA, Jeon CE, Jern C, Kamouchi M, Keene KL, Kitazono T, Kittner SJ, Konuma T, Kumar A, Lacaze P, Launer LJ, Lee KJ, Lepik K, Li J, Li L, Manichaikul A, Markus HS, Marston NA, Meitinger T, Mitchell BD, Montellano FA, Morisaki T, Mosley TH, Nalls MA, Nordestgaard BG, O'Donnell MJ, Okada Y, Onland-Moret NC, Ovbiagele B, Peters A, Psaty BM, Rich SS, Rosand J, Sabatine MS, Sacco RL, Saleheen D, Sandset EC, Salomaa V, Sargurupremraj M, Sasaki M, Satizabal CL, Schmidt CO, Shimizu A, Smith NL, Sloane KL, Sutoh Y, Sun YV, Tanno K, Tiedt S, Tatlisumak T, Torres-Aguila NP, Tiwari HK, Trégouët DA, Trompet S, Tuladhar AM, Tybjærg-Hansen A, van Vugt M, Vibo R, Verma SS, Wiggins KL, Wennberg P, Woo D, Wilson PWF, Xu H, Yang Q, Yoon K, Millwood IY, Gieger C, Ninomiya T, Grabe HJ, Jukema JW, Rissanen IL, Strbian D, Kim YJ, Chen PH, Mayerhofer E, Howson JMM, Irvin MR, Adams H, Wassertheil-Smoller S, Christensen K, Ikram MA, Rundek T, Worrall BB, Lathrop GM, Riaz M, Simonsick EM, Kõrv J, França PHC, Zand R, Prasad K, Frikke-Schmidt R, de Leeuw FE, Liman T, Haeusler KG, Ruigrok YM, Heuschmann PU, Longstreth WT, Jung KJ, Bastarache L, Paré G, Damrauer SM, Chasman DI, Rotter JI, Anderson CD, Zwart JA, Niiranen TJ, Fornage M, Liaw YP, Seshadri S, Fernández-Cadenas I, Walters RG, Ruff CT, Owolabi MO, Huffman JE, Milani L, Kamatani Y, Dichgans M, and Debette S
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- 2022
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22. Stroke genetics informs drug discovery and risk prediction across ancestries.
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Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, He Y, Georgakis MK, Caro I, Krebs K, Liaw YC, Vaura FC, Lin K, Winsvold BS, Srinivasasainagendra V, Parodi L, Bae HJ, Chauhan G, Chong MR, Tomppo L, Akinyemi R, Roshchupkin GV, Habib N, Jee YH, Thomassen JQ, Abedi V, Cárcel-Márquez J, Nygaard M, Leonard HL, Yang C, Yonova-Doing E, Knol MJ, Lewis AJ, Judy RL, Ago T, Amouyel P, Armstrong ND, Bakker MK, Bartz TM, Bennett DA, Bis JC, Bordes C, Børte S, Cain A, Ridker PM, Cho K, Chen Z, Cruchaga C, Cole JW, de Jager PL, de Cid R, Endres M, Ferreira LE, Geerlings MI, Gasca NC, Gudnason V, Hata J, He J, Heath AK, Ho YL, Havulinna AS, Hopewell JC, Hyacinth HI, Inouye M, Jacob MA, Jeon CE, Jern C, Kamouchi M, Keene KL, Kitazono T, Kittner SJ, Konuma T, Kumar A, Lacaze P, Launer LJ, Lee KJ, Lepik K, Li J, Li L, Manichaikul A, Markus HS, Marston NA, Meitinger T, Mitchell BD, Montellano FA, Morisaki T, Mosley TH, Nalls MA, Nordestgaard BG, O'Donnell MJ, Okada Y, Onland-Moret NC, Ovbiagele B, Peters A, Psaty BM, Rich SS, Rosand J, Sabatine MS, Sacco RL, Saleheen D, Sandset EC, Salomaa V, Sargurupremraj M, Sasaki M, Satizabal CL, Schmidt CO, Shimizu A, Smith NL, Sloane KL, Sutoh Y, Sun YV, Tanno K, Tiedt S, Tatlisumak T, Torres-Aguila NP, Tiwari HK, Trégouët DA, Trompet S, Tuladhar AM, Tybjærg-Hansen A, van Vugt M, Vibo R, Verma SS, Wiggins KL, Wennberg P, Woo D, Wilson PWF, Xu H, Yang Q, Yoon K, Millwood IY, Gieger C, Ninomiya T, Grabe HJ, Jukema JW, Rissanen IL, Strbian D, Kim YJ, Chen PH, Mayerhofer E, Howson JMM, Irvin MR, Adams H, Wassertheil-Smoller S, Christensen K, Ikram MA, Rundek T, Worrall BB, Lathrop GM, Riaz M, Simonsick EM, Kõrv J, França PHC, Zand R, Prasad K, Frikke-Schmidt R, de Leeuw FE, Liman T, Haeusler KG, Ruigrok YM, Heuschmann PU, Longstreth WT, Jung KJ, Bastarache L, Paré G, Damrauer SM, Chasman DI, Rotter JI, Anderson CD, Zwart JA, Niiranen TJ, Fornage M, Liaw YP, Seshadri S, Fernández-Cadenas I, Walters RG, Ruff CT, Owolabi MO, Huffman JE, Milani L, Kamatani Y, Dichgans M, and Debette S
- Subjects
- Humans, Brain Ischemia genetics, Genome-Wide Association Study, Molecular Targeted Therapy, Multifactorial Inheritance, Europe ethnology, Asia, Eastern ethnology, Africa ethnology, Drug Discovery, Genetic Predisposition to Disease genetics, Ischemic Stroke genetics
- Abstract
Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry
1,2 . Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3 , and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4 , we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5 . Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries., (© 2022. The Author(s).)- Published
- 2022
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23. Author Correction: A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease.
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Wightman DP, Jansen IE, Savage JE, Shadrin AA, Bahrami S, Holland D, Rongve A, Børte S, Winsvold BS, Drange OK, Martinsen AE, Skogholt AH, Willer C, Bråthen G, Bosnes I, Nielsen JB, Fritsche LG, Thomas LF, Pedersen LM, Gabrielsen ME, Johnsen MB, Meisingset TW, Zhou W, Proitsi P, Hodges A, Dobson R, Velayudhan L, Heilbron K, Auton A, Sealock JM, Davis LK, Pedersen NL, Reynolds CA, Karlsson IK, Magnusson S, Stefansson H, Thordardottir S, Jonsson PV, Snaedal J, Zettergren A, Skoog I, Kern S, Waern M, Zetterberg H, Blennow K, Stordal E, Hveem K, Zwart JA, Athanasiu L, Selnes P, Saltvedt I, Sando SB, Ulstein I, Djurovic S, Fladby T, Aarsland D, Selbæk G, Ripke S, Stefansson K, Andreassen OA, and Posthuma D
- Published
- 2022
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24. Author Correction: A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease.
- Author
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Wightman DP, Jansen IE, Savage JE, Shadrin AA, Bahrami S, Holland D, Rongve A, Børte S, Winsvold BS, Drange OK, Martinsen AE, Skogholt AH, Willer C, Bråthen G, Bosnes I, Nielsen JB, Fritsche LG, Thomas LF, Pedersen LM, Gabrielsen ME, Johnsen MB, Meisingset TW, Zhou W, Proitsi P, Hodges A, Dobson R, Velayudhan L, Heilbron K, Auton A, Sealock JM, Davis LK, Pedersen NL, Reynolds CA, Karlsson IK, Magnusson S, Stefansson H, Thordardottir S, Jonsson PV, Snaedal J, Zettergren A, Skoog I, Kern S, Waern M, Zetterberg H, Blennow K, Stordal E, Hveem K, Zwart JA, Athanasiu L, Selnes P, Saltvedt I, Sando SB, Ulstein I, Djurovic S, Fladby T, Aarsland D, Selbæk G, Ripke S, Stefansson K, Andreassen OA, and Posthuma D
- Published
- 2021
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25. Genome-wide association study identifies RNF123 locus as associated with chronic widespread musculoskeletal pain.
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Rahman MS, Winsvold BS, Chavez Chavez SO, Børte S, Tsepilov YA, Sharapov SZ, Aulchenko YS, Hagen K, Fors EA, Hveem K, Zwart JA, van Meurs JB, Freidin MB, and Williams FM
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Body Mass Index, Catechol O-Methyltransferase genetics, Chronic Pain physiopathology, Depression genetics, Female, Fibromyalgia physiopathology, Genome-Wide Association Study, Humans, Male, Middle Aged, Musculoskeletal Pain physiopathology, Polymorphism, Single Nucleotide, Young Adult, Calcium-Transporting ATPases genetics, Chronic Pain genetics, Musculoskeletal Pain genetics, Ubiquitin-Protein Ligases genetics
- Abstract
Background and Objectives: Chronic widespread musculoskeletal pain (CWP) is a symptom of fibromyalgia and a complex trait with poorly understood pathogenesis. CWP is heritable (48%-54%), but its genetic architecture is unknown and candidate gene studies have produced inconsistent results. We conducted a genome-wide association study to get insight into the genetic background of CWP., Methods: Northern Europeans from UK Biobank comprising 6914 cases reporting pain all over the body lasting >3 months and 242 929 controls were studied. Replication of three independent genome-wide significant single nucleotide polymorphisms was attempted in six independent European cohorts (n=43 080; cases=14 177). Genetic correlations with risk factors, tissue specificity and colocalisation were examined., Results: Three genome-wide significant loci were identified ( rs1491985, rs10490825, rs165599 ) residing within the genes Ring Finger Protein 123 ( RNF123 ), ATPase secretory pathway Ca
2+ transporting 1 ( ATP2C1 ) and catechol-O-methyltransferase ( COMT ). The RNF123 locus was replicated (meta-analysis p=0.0002), the ATP2C1 locus showed suggestive association (p=0.0227) and the COMT locus was not replicated. Partial genetic correlation between CWP and depressive symptoms, body mass index, age of first birth and years of schooling were identified. Tissue specificity and colocalisation analysis highlight the relevance of skeletal muscle in CWP., Conclusions: We report a novel association of RNF123 locus and a suggestive association of ATP2C1 locus with CWP. Both loci are consistent with a role of calcium regulation in CWP. The association with COMT , one of the most studied genes in chronic pain field, was not confirmed in the replication analysis., Competing Interests: Competing interests: YSA is co-owner of Maatschap PolyOmica and PolyKnomics BV, private organisations, providing services, research and development in the field of computational and statistical, quantitative and computational (gen)omics., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.)- Published
- 2021
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26. A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease.
- Author
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Wightman DP, Jansen IE, Savage JE, Shadrin AA, Bahrami S, Holland D, Rongve A, Børte S, Winsvold BS, Drange OK, Martinsen AE, Skogholt AH, Willer C, Bråthen G, Bosnes I, Nielsen JB, Fritsche LG, Thomas LF, Pedersen LM, Gabrielsen ME, Johnsen MB, Meisingset TW, Zhou W, Proitsi P, Hodges A, Dobson R, Velayudhan L, Heilbron K, Auton A, Sealock JM, Davis LK, Pedersen NL, Reynolds CA, Karlsson IK, Magnusson S, Stefansson H, Thordardottir S, Jonsson PV, Snaedal J, Zettergren A, Skoog I, Kern S, Waern M, Zetterberg H, Blennow K, Stordal E, Hveem K, Zwart JA, Athanasiu L, Selnes P, Saltvedt I, Sando SB, Ulstein I, Djurovic S, Fladby T, Aarsland D, Selbæk G, Ripke S, Stefansson K, Andreassen OA, and Posthuma D
- Subjects
- Humans, Microglia cytology, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Proteins metabolism, Proteolysis, Sample Size, Alzheimer Disease genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study
- Abstract
Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer's disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer's disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer's disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer's disease to identify further genetic variants that contribute to Alzheimer's pathology., (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)
- Published
- 2021
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27. Genetic Susceptibility Loci in Genomewide Association Study of Cluster Headache.
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Harder AVE, Winsvold BS, Noordam R, Vijfhuizen LS, Børte S, Kogelman LJA, de Boer I, Tronvik E, Rosendaal FR, Willems van Dijk K, O'Connor E, Fourier C, Thomas LF, Kristoffersen ES, Fronczek R, Pozo-Rosich P, Jensen RH, Ferrari MD, Hansen TF, Zwart JA, Terwindt GM, and van den Maagdenberg AMJM
- Subjects
- Case-Control Studies, Female, Humans, Male, Netherlands epidemiology, Polymorphism, Single Nucleotide genetics, Sequence Analysis, RNA methods, Cluster Headache epidemiology, Cluster Headache genetics, Genetic Loci genetics, Genetic Predisposition to Disease epidemiology, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods
- Abstract
Objective: Identifying common genetic variants that confer genetic risk for cluster headache., Methods: We conducted a case-control study in the Dutch Leiden University Cluster headache neuro-Analysis program (LUCA) study population (n = 840) and unselected controls from the Netherlands Epidemiology of Obesity Study (NEO; n = 1,457). Replication was performed in a Norwegian sample of 144 cases from the Trondheim Cluster headache sample and 1,800 controls from the Nord-Trøndelag Health Survey (HUNT). Gene set and tissue enrichment analyses, blood cell-derived RNA-sequencing of genes around the risk loci and linkage disequilibrium score regression were part of the downstream analyses., Results: An association was found with cluster headache for 4 independent loci (r
2 < 0.1) with genomewide significance (p < 5 × 10-8 ), rs11579212 (odds ratio [OR] = 1.51, 95% confidence interval [CI] = 1.33-1.72 near RP11-815 M8.1), rs6541998 (OR = 1.53, 95% CI = 1.37-1.74 near MERTK), rs10184573 (OR = 1.43, 95% CI = 1.26-1.61 near AC093590.1), and rs2499799 (OR = 0.62, 95% CI = 0.54-0.73 near UFL1/FHL5), collectively explaining 7.2% of the variance of cluster headache. SNPs rs11579212, rs10184573, and rs976357, as proxy SNP for rs2499799 (r2 = 1.0), replicated in the Norwegian sample (p < 0.05). Gene-based mapping yielded ASZ1 as possible fifth locus. RNA-sequencing indicated differential expression of POLR1B and TMEM87B in cluster headache patients., Interpretation: This genomewide association study (GWAS) identified and replicated genetic risk loci for cluster headache with effect sizes larger than those typically seen in complex genetic disorders. ANN NEUROL 2021;90:203-216., (© 2021 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)- Published
- 2021
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28. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology.
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Mullins N, Forstner AJ, O'Connell KS, Coombes B, Coleman JRI, Qiao Z, Als TD, Bigdeli TB, Børte S, Bryois J, Charney AW, Drange OK, Gandal MJ, Hagenaars SP, Ikeda M, Kamitaki N, Kim M, Krebs K, Panagiotaropoulou G, Schilder BM, Sloofman LG, Steinberg S, Trubetskoy V, Winsvold BS, Won HH, Abramova L, Adorjan K, Agerbo E, Al Eissa M, Albani D, Alliey-Rodriguez N, Anjorin A, Antilla V, Antoniou A, Awasthi S, Baek JH, Bækvad-Hansen M, Bass N, Bauer M, Beins EC, Bergen SE, Birner A, Bøcker Pedersen C, Bøen E, Boks MP, Bosch R, Brum M, Brumpton BM, Brunkhorst-Kanaan N, Budde M, Bybjerg-Grauholm J, Byerley W, Cairns M, Casas M, Cervantes P, Clarke TK, Cruceanu C, Cuellar-Barboza A, Cunningham J, Curtis D, Czerski PM, Dale AM, Dalkner N, David FS, Degenhardt F, Djurovic S, Dobbyn AL, Douzenis A, Elvsåshagen T, Escott-Price V, Ferrier IN, Fiorentino A, Foroud TM, Forty L, Frank J, Frei O, Freimer NB, Frisén L, Gade K, Garnham J, Gelernter J, Giørtz Pedersen M, Gizer IR, Gordon SD, Gordon-Smith K, Greenwood TA, Grove J, Guzman-Parra J, Ha K, Haraldsson M, Hautzinger M, Heilbronner U, Hellgren D, Herms S, Hoffmann P, Holmans PA, Huckins L, Jamain S, Johnson JS, Kalman JL, Kamatani Y, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koromina M, Kranz TM, Kranzler HR, Kubo M, Kupka R, Kushner SA, Lavebratt C, Lawrence J, Leber M, Lee HJ, Lee PH, Levy SE, Lewis C, Liao C, Lucae S, Lundberg M, MacIntyre DJ, Magnusson SH, Maier W, Maihofer A, Malaspina D, Maratou E, Martinsson L, Mattheisen M, McCarroll SA, McGregor NW, McGuffin P, McKay JD, Medeiros H, Medland SE, Millischer V, Montgomery GW, Moran JL, Morris DW, Mühleisen TW, O'Brien N, O'Donovan C, Olde Loohuis LM, Oruc L, Papiol S, Pardiñas AF, Perry A, Pfennig A, Porichi E, Potash JB, Quested D, Raj T, Rapaport MH, DePaulo JR, Regeer EJ, Rice JP, Rivas F, Rivera M, Roth J, Roussos P, Ruderfer DM, Sánchez-Mora C, Schulte EC, Senner F, Sharp S, Shilling PD, Sigurdsson E, Sirignano L, Slaney C, Smeland OB, Smith DJ, Sobell JL, Søholm Hansen C, Soler Artigas M, Spijker AT, Stein DJ, Strauss JS, Świątkowska B, Terao C, Thorgeirsson TE, Toma C, Tooney P, Tsermpini EE, Vawter MP, Vedder H, Walters JTR, Witt SH, Xi S, Xu W, Yang JMK, Young AH, Young H, Zandi PP, Zhou H, Zillich L, Adolfsson R, Agartz I, Alda M, Alfredsson L, Babadjanova G, Backlund L, Baune BT, Bellivier F, Bengesser S, Berrettini WH, Blackwood DHR, Boehnke M, Børglum AD, Breen G, Carr VJ, Catts S, Corvin A, Craddock N, Dannlowski U, Dikeos D, Esko T, Etain B, Ferentinos P, Frye M, Fullerton JM, Gawlik M, Gershon ES, Goes FS, Green MJ, Grigoroiu-Serbanescu M, Hauser J, Henskens F, Hillert J, Hong KS, Hougaard DM, Hultman CM, Hveem K, Iwata N, Jablensky AV, Jones I, Jones LA, Kahn RS, Kelsoe JR, Kirov G, Landén M, Leboyer M, Lewis CM, Li QS, Lissowska J, Lochner C, Loughland C, Martin NG, Mathews CA, Mayoral F, McElroy SL, McIntosh AM, McMahon FJ, Melle I, Michie P, Milani L, Mitchell PB, Morken G, Mors O, Mortensen PB, Mowry B, Müller-Myhsok B, Myers RM, Neale BM, Nievergelt CM, Nordentoft M, Nöthen MM, O'Donovan MC, Oedegaard KJ, Olsson T, Owen MJ, Paciga SA, Pantelis C, Pato C, Pato MT, Patrinos GP, Perlis RH, Posthuma D, Ramos-Quiroga JA, Reif A, Reininghaus EZ, Ribasés M, Rietschel M, Ripke S, Rouleau GA, Saito T, Schall U, Schalling M, Schofield PR, Schulze TG, Scott LJ, Scott RJ, Serretti A, Shannon Weickert C, Smoller JW, Stefansson H, Stefansson K, Stordal E, Streit F, Sullivan PF, Turecki G, Vaaler AE, Vieta E, Vincent JB, Waldman ID, Weickert TW, Werge T, Wray NR, Zwart JA, Biernacka JM, Nurnberger JI, Cichon S, Edenberg HJ, Stahl EA, McQuillin A, Di Florio A, Ophoff RA, and Andreassen OA
- Subjects
- Case-Control Studies, Chromosomes, Human genetics, Genetic Predisposition to Disease, Genome, Human, Humans, Major Histocompatibility Complex genetics, Multifactorial Inheritance genetics, Phenotype, Quantitative Trait Loci genetics, Risk Factors, Bipolar Disorder genetics, Genome-Wide Association Study
- Abstract
Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.
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- 2021
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29. Sex- and age-specific genetic analysis of chronic back pain.
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Freidin MB, Tsepilov YA, Stanaway IB, Meng W, Hayward C, Smith BH, Khoury S, Parisien M, Bortsov A, Diatchenko L, Børte S, Winsvold BS, Brumpton BM, Zwart JA, Aulchenko YS, Suri P, and Williams FMK
- Subjects
- Age Factors, Aged, Aged, 80 and over, Back Pain epidemiology, Back Pain genetics, Female, Genetic Loci, Humans, Infant, Male, Polymorphism, Single Nucleotide genetics, Proteoglycans, Genetic Predisposition to Disease genetics, Genome-Wide Association Study
- Abstract
Abstract: Sex differences for chronic back pain (cBP) have been reported, with females usually exhibiting greater morbidity, severity, and poorer response to treatment. Genetic factors acting in an age-specific manner have been implicated but never comprehensively explored. We performed sex- and age-stratified genome-wide association study and single nucleotide polymorphism-by-sex interaction analysis for cBP defined as "Back pain for 3+ months" in 202,077 males and 237,754 females of European ancestry from UK Biobank. Two and 7 nonoverlapping genome-wide significant loci were identified for males and females, respectively. A male-specific locus on chromosome 10 near SPOCK2 gene was replicated in 4 independent cohorts. Four loci demonstrated single nucleotide polymorphism-by-sex interaction, although none of them were formally replicated. Single nucleotide polymorphism-explained heritability was higher in females (0.079 vs 0.067, P = 0.006). There was a high, although not complete, genetic correlation between the sexes (r = 0.838 ± 0.041, different from 1 with P = 7.8E-05). Genetic correlation between the sexes for cBP decreased with age (0.858 ± 0.049 in younger people vs 0.544 ± 0.157 in older people; P = 4.3E-05). There was a stronger genetic correlation of cBP with self-reported diagnosis of intervertebral disk degeneration in males than in females (0.889 vs 0.638; P = 3.7E-06). Thus, the genetic component of cBP in the UK Biobank exhibits a mild sex- and age-dependency. This provides an insight into the possible causes of sex- and age-specificity in epidemiology and pathophysiology of cBP and chronic pain at other anatomical sites., (Copyright © 2020 International Association for the Study of Pain.)
- Published
- 2021
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30. Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.
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Bakker MK, van der Spek RAA, van Rheenen W, Morel S, Bourcier R, Hostettler IC, Alg VS, van Eijk KR, Koido M, Akiyama M, Terao C, Matsuda K, Walters RG, Lin K, Li L, Millwood IY, Chen Z, Rouleau GA, Zhou S, Rannikmäe K, Sudlow CLM, Houlden H, van den Berg LH, Dina C, Naggara O, Gentric JC, Shotar E, Eugène F, Desal H, Winsvold BS, Børte S, Johnsen MB, Brumpton BM, Sandvei MS, Willer CJ, Hveem K, Zwart JA, Verschuren WMM, Friedrich CM, Hirsch S, Schilling S, Dauvillier J, Martin O, Jones GT, Bown MJ, Ko NU, Kim H, Coleman JRI, Breen G, Zaroff JG, Klijn CJM, Malik R, Dichgans M, Sargurupremraj M, Tatlisumak T, Amouyel P, Debette S, Rinkel GJE, Worrall BB, Pera J, Slowik A, Gaál-Paavola EI, Niemelä M, Jääskeläinen JE, von Und Zu Fraunberg M, Lindgren A, Broderick JP, Werring DJ, Woo D, Redon R, Bijlenga P, Kamatani Y, Veldink JH, and Ruigrok YM
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- 2021
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31. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.
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Bakker MK, van der Spek RAA, van Rheenen W, Morel S, Bourcier R, Hostettler IC, Alg VS, van Eijk KR, Koido M, Akiyama M, Terao C, Matsuda K, Walters RG, Lin K, Li L, Millwood IY, Chen Z, Rouleau GA, Zhou S, Rannikmäe K, Sudlow CLM, Houlden H, van den Berg LH, Dina C, Naggara O, Gentric JC, Shotar E, Eugène F, Desal H, Winsvold BS, Børte S, Johnsen MB, Brumpton BM, Sandvei MS, Willer CJ, Hveem K, Zwart JA, Verschuren WMM, Friedrich CM, Hirsch S, Schilling S, Dauvillier J, Martin O, Jones GT, Bown MJ, Ko NU, Kim H, Coleman JRI, Breen G, Zaroff JG, Klijn CJM, Malik R, Dichgans M, Sargurupremraj M, Tatlisumak T, Amouyel P, Debette S, Rinkel GJE, Worrall BB, Pera J, Slowik A, Gaál-Paavola EI, Niemelä M, Jääskeläinen JE, von Und Zu Fraunberg M, Lindgren A, Broderick JP, Werring DJ, Woo D, Redon R, Bijlenga P, Kamatani Y, Veldink JH, and Ruigrok YM
- Subjects
- Asian People genetics, Blood Pressure genetics, Case-Control Studies, Endothelial Cells pathology, Genome-Wide Association Study, Humans, Hypertension physiopathology, Intracranial Aneurysm pathology, Polymorphism, Single Nucleotide genetics, Risk Factors, Smoking adverse effects, White People genetics, Genetic Predisposition to Disease genetics, Hypertension genetics, Intracranial Aneurysm genetics, Smoking genetics, Subarachnoid Hemorrhage genetics, Subarachnoid Hemorrhage pathology
- Abstract
Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.
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- 2020
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32. Caesarean section and the association with migraine: a retrospective register-linked HUNT population cohort study.
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Kristoffersen ES, Børte S, Hagen K, Zwart JA, and Winsvold BS
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- Adult, Cohort Studies, Female, Humans, Male, Norway epidemiology, Pregnancy, Retrospective Studies, Young Adult, Cesarean Section, Migraine Disorders epidemiology
- Abstract
Objectives: To evaluate the association between caesarean section and migraine in a population-based register-linked cohort study., Setting: Data from the population-based Nord-Trøndelag Health Studies (HUNT2 and HUNT3) were linked to information from the Norwegian Medical Birth Registry., Participants: 65 343 participants responded to the headache questions in any of the two HUNT studies. Only those answering the headache questions in HUNT2 or 3 and had information about mode of delivery in the Norwegian Medical Birth Registry (born after 1967) were included. Our final sample consisted of 6592 women and 4602 men, aged 19-41 years., Outcomes: ORs for migraine given caesarean section. Analyses were performed in multivariate logistic regression models., Results: After adjusting for sex, age and fetal growth restriction, delivery by caesarean section was not associated with migraine later in life (OR 0.86, 95% CI 0.64 to 1.15). Delivery by caesarean section was associated with a reduced OR of non-migrainous headache (OR 0.77, 95% CI 0.60 to 0.99)., Conclusion: No association was found between caesarean section and migraine in this population-based register-linked study., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2020
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33. Migraine, obesity and body fat distribution - a population-based study.
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Kristoffersen ES, Børte S, Hagen K, Zwart JA, and Winsvold BS
- Subjects
- Adult, Aged, Aged, 80 and over, Body Fat Distribution, Cross-Sectional Studies, Female, Headache, Humans, Male, Middle Aged, Prevalence, Surveys and Questionnaires, Young Adult, Migraine Disorders epidemiology, Obesity epidemiology, Tension-Type Headache epidemiology
- Abstract
Background: Obesity has been linked to an increased prevalence of migraine, and to increased migraine attack frequency, but several questions are left unanswered by previous studies. We examined the relationship between obesity and headache in a large, population-based study where we could take into account body fat distribution, migraine subtypes and tension-type headache., Methods: The third population-based Nord-Trøndelag Health Study (HUNT3) included validated headache questionnaires and objective anthropometric measurements. Using a cross-sectional design, our sample consisted of 18,191 women and 14,985 men, aged 19 to 96 years. Of these 4290 (12.9%) had migraine, 4447 (13.4%) had frequent tension-type headache (TTH), and 24,439 were headache-free controls. A total of 5049 individuals with unclassified headache were excluded from the analyses. Using logistic regression, we modeled the association between obesity and headache prevalence, adjusting for relevant confounders., Results: Both total body obesity (TBO) and abdominal obesity (AO) were associated with a higher prevalence of migraine when compared to headache-free controls (OR 1.45 95% CI 1.32-1.59 and OR 1.29 95% CI 1.18-1.41, respectively), in particular for individuals < 50 years of age (OR 1.74 95% CI 1.54-1.98 and OR 1.89 95% CI 1.69-2.11). Similar results were seen for migraine with and without aura. Similar Overall, a weaker associations were as observed between obesity and TTH. There was a dose-response relationship between obesity categories and increased headache frequency in subjects with migraine. TBO was associated with migraine prevalence and attack frequency independent of AO., Conclusion: Both TBO and AO were associated with migraine prevalence and attack frequency. This association was largely limited to individuals < 50 years of age. TBO, rather than AO, may be a better measure of obesity in relation to migraine.
- Published
- 2020
- Full Text
- View/download PDF
34. Mitochondrial genome-wide association study of migraine - the HUNT Study.
- Author
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Børte S, Zwart JA, Skogholt AH, Gabrielsen ME, Thomas LF, Fritsche LG, Surakka I, Nielsen JB, Zhou W, Wolford BN, Vigeland MD, Hagen K, Kristoffersen ES, Nyholt DR, Chasman DI, Brumpton BM, Willer CJ, and Winsvold BS
- Subjects
- Genetic Variation, Genotype, Humans, Norway, DNA, Mitochondrial genetics, Genome-Wide Association Study, Migraine Disorders genetics
- Abstract
Background: Variation in mitochondrial DNA (mtDNA) has been indicated in migraine pathogenesis, but genetic studies to date have focused on candidate variants, with sparse findings. We aimed to perform the first mitochondrial genome-wide association study of migraine, examining both single variants and mitochondrial haplogroups., Methods: In total, 71,860 participants from the population-based Nord-Trøndelag Health Study were genotyped. We excluded samples not passing quality control for nuclear genotypes, in addition to samples with low call rate and closely maternally related. We analysed 775 mitochondrial DNA variants in 4021 migraine cases and 14,288 headache-free controls, using logistic regression. In addition, we analysed 3831 cases and 13,584 controls who could be reliably assigned to a mitochondrial haplogroup. Lastly, we attempted to replicate previously reported mitochondrial DNA candidate variants., Results: Neither of the mitochondrial variants or haplogroups were associated with migraine. In addition, none of the previously reported mtDNA candidate variants replicated in our data., Conclusions: Our findings do not support a major role of mitochondrial genetic variation in migraine pathophysiology, but a larger sample is needed to detect rare variants and future studies should also examine heteroplasmic variation, epigenetic changes and copy-number variation.
- Published
- 2020
- Full Text
- View/download PDF
35. Parental migraine in relation to migraine in offspring: Family linkage analyses from the HUNT Study.
- Author
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Børte S, Zwart JA, Stensland SØ, Hagen K, and Winsvold BS
- Subjects
- Adolescent, Cohort Studies, Cross-Sectional Studies, Female, Humans, Male, Migraine Disorders genetics, Norway, Parents, Pedigree, Surveys and Questionnaires, Genetic Predisposition to Disease, Migraine Disorders epidemiology
- Abstract
Background: Migraine is known to run in families. While some clinical studies have indicated that migraine is disproportionally transmitted through the maternal line, this has not been examined in a population-based setting., Methods: We utilized a large, population-based cohort study from Norway, the HUNT Study. Using a cross-sectional design, our sample consisted of 13,731 parents and 8970 offspring. Logistic regression was used to calculate odds ratios with 95% confidence intervals for active migraine and non-migrainous headache in offspring, given active maternal or paternal headache., Results: There was a significant association between maternal migraine and offspring migraine (odds ratio 2.76, 95% confidence interval 2.18-3.51). A weaker association ( p = 0.004 for comparison with maternal migraine) was found between paternal migraine and offspring migraine (odds ratio 1.67, 95% confidence interval 1.33-2.28). For non-migrainous headache, there was a significant association between mothers and offspring (odds ratio 1.25, 95% confidence interval 1.10-1.43), but not between fathers and offspring., Conclusions: Parental migraine is associated with offspring migraine, with a stronger association for maternal migraine. This may indicate maternal-specific transmission.
- Published
- 2019
- Full Text
- View/download PDF
36. The effect of foetal growth restriction on the development of migraine and tension-type headache in adulthood. The HUNT Study.
- Author
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Børte S, Winsvold BS, Stensland SØ, Småstuen MC, and Zwart JA
- Subjects
- Adult, Birth Weight, Female, Fetal Growth Retardation epidemiology, Gestational Age, Health Surveys, Humans, Infant, Newborn, Logistic Models, Male, Migraine Disorders complications, Migraine Disorders epidemiology, Norway epidemiology, Odds Ratio, Pregnancy, Registries, Risk Factors, Tension-Type Headache complications, Tension-Type Headache epidemiology, Young Adult, Fetal Growth Retardation etiology, Migraine Disorders diagnosis, Tension-Type Headache diagnosis
- Abstract
Background: There is little knowledge about how factors early in life affect the development of migraine and tension-type headache. We aimed to examine whether growth restriction in utero is associated with development of migraine and frequent tension-type headache in adults., Methods: The population-based Nord-Trøndelag Health Study (HUNT 3) contained a validated headache questionnaire, which differentiated between migraine and tension-type headache. These data were linked to information on weight and gestational age at birth from the Norwegian Medical Birth Registry. In total 4557 females and 2789 males, aged 19-41 years, were included in this registry-based study. Participants were categorized as appropriate for gestational age (AGA, 10th-90th percentile), small for gestational age (SGA, 3rd-10th percentile) or very small for gestational age (VSGA, < 3rd percentile). Logistic regression was used to calculate odds ratios (OR) with 95% confidence intervals (CI) for migraine and tension-type headache, with exposure being growth restriction at birth., Results: The effect of growth restriction on migraine was modified by sex, with a significant association in males (p<0.001), but not in females (p = 0.20). In particular, males born VSGA were at increased risk of developing migraine (OR 2.73, 95% CI 1.63-4.58, p<0.001), with an intermediate risk among those born SGA (OR 1.50, 95% CI 0.96-2.35, p = 0.08) compared to those born AGA. There was no significant association between growth restriction and frequent TTH (p = 0.051)., Conclusion: Growth restriction was associated with increased risk of migraine in adulthood among males, but not among females. This suggests that migraine might, in part, be influenced by early life events, and that males seem to be particularly vulnerable.
- Published
- 2017
- Full Text
- View/download PDF
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