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1. Stroke genetics informs drug discovery and risk prediction across ancestries

Author: 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

2. Stroke genetics informs drug discovery and risk prediction across ancestries (vol 611, pg 115, 2022)

Author: Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, 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, Borte, 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, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, IH, 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, K-J, 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, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-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, P-H, 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, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, Debette, S, Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, 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, Borte, 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, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, IH, 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, K-J, 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, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-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, P-H, 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, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, and Debette, S
Published: 2022

3. 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: 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

4. Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P, Feofanova, EV, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, AV, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Velez Edwards, DR, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, De Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, I, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, YV, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, AI, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Davey Smith, G, Boer, RAD, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, MI, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, Van der Harst, P, Van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, DI, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, and United Kingdom Research and Innovation
Subjects: Genetics & Heredity, Understanding Society Scientific Group, Science & Technology, business.industry, Published Erratum, Million Veteran Program, MEDLINE, Computational biology, 06 Biological Sciences, Biology, Blood pressure, Text mining, Meta-analysis, EPIC-InterAct, Genetics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, business, Life Sciences & Biomedicine, EPIC-CVD, 11 Medical and Health Sciences, LifeLines Cohort Study, Developmental Biology
Abstract: In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.
Published: 2021
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5. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P., Feofanova, E. V., Lahrouchi, N., Ntalla, I., Karthikeyan, S., Cook, J., Chen, L., Mifsud, B., Yao, C., Kraja, A. T., Cartwright, J. H., Hellwege, J. N., Giri, A., Tragante, V., Thorleifsson, G., Liu, D. J., Prins, B. P., Stewart, I. D., Cabrera, C. P., Eales, J. M., Akbarov, A., Auer, P. L., Bielak, L. F., Bis, J. C., Braithwaite, V. S., Brody, J. A., Daw, E. W., Warren, H. R., Drenos, F., Nielsen, S. F., Faul, J. D., Fauman, E. B., Fava, C., Ferreira, T., Foley, C. N., Franceschini, N., Gao, H., Giannakopoulou, O., Giulianini, F., Gudbjartsson, D. F., Guo, X., Harris, S. E., Havulinna, A. S., Helgadottir, A., Huffman, J. E., Hwang, S. -J., Kanoni, S., Kontto, J., Larson, M. G., Li-Gao, R., Lindstrom, J., Lotta, L. A., Lu, Y., Luan, J., Mahajan, A., Malerba, G., Masca, N. G. D., Mei, H., Menni, C., Mook-Kanamori, D. O., Mosen-Ansorena, D., Muller-Nurasyid, M., Pare, G., Paul, D. S., Perola, M., Poveda, A., Rauramaa, R., Richard, M., Richardson, T. G., Sepulveda, N., Sim, X., Smith, A. V., Smith, J. A., Staley, J. R., Stanakova, A., Sulem, P., Theriault, S., Thorsteinsdottir, U., Trompet, S., Varga, T. V., Velez Edwards, D. R., Veronesi, G., Weiss, S., Willems, S. M., Yao, J., Young, R., Yu, B., Zhang, W., Zhao, J. -H., Zhao, W., Evangelou, E., Aeschbacher, S., Asllanaj, E., Blankenberg, S., Bonnycastle, L. L., Bork-Jensen, J., Brandslund, I., Braund, P. S., Burgess, S., Cho, K., Christensen, C., Connell, J., Mutsert, R., Dominiczak, A. F., Dorr, M., Eiriksdottir, G., Farmaki, A. -E., Gaziano, J. M., Grarup, N., Grove, M. L., Hallmans, G., Hansen, T., Have, C. T., Heiss, G., Jorgensen, M. E., Jousilahti, P., Kajantie, E., Kamat, M., Karajamaki, A. M., Karpe, F., Koistinen, H. A., Kovesdy, C. P., Kuulasmaa, K., Laatikainen, T., Lannfelt, L., Lee, I. -T., Lee, W. -J., de Boer, R. A., van der Harst, P., van der Meer, P., Verweij, N., Linneberg, A., Martin, L. W., Moitry, M., Nadkarni, G., Neville, M. J., Palmer, C. N. A., Papanicolaou, G. J., Pedersen, O., Peters, J., Poulter, N., Rasheed, A., Rasmussen, K. L., Rayner, N. W., Magi, R., Renstrom, F., Rettig, R., Rossouw, J., Schreiner, P. J., Sever, P. S., Sigurdsson, E. L., Skaaby, T., Sun, Y. V., Sundstrom, J., Thorgeirsson, G., Esko, T., Trabetti, E., Tsao, P. S., Tuomi, T., Turner, S. T., Tzoulaki, I., Vaartjes, I., Vergnaud, A. -C., Willer, C. J., Wilson, P. W. F., Witte, D. R., Yonova-Doing, E., Zhang, H., Aliya, N., Almgren, P., Amouyel, P., Asselbergs, F. W., Barnes, M. R., Blakemore, A. I., Boehnke, M., Bots, M. L., Bottinger, E. P., Buring, J. E., Chambers, J. C., Chen, Y. -D. I., Chowdhury, R., Conen, D., Correa, A., Davey Smith, G., Boer, R. A., Deary, I. J., Dedoussis, G., Deloukas, P., Di Angelantonio, E., Elliott, P., Butterworth, A. S., Danesh, J., Langenberg, C., Mccarthy, M. I., Franks, P. W., Rolandsson, O., Wareham, N. J., Felix, S. B., Ferrieres, J., Ford, I., Fornage, M., Franks, S., Frossard, P., Gambaro, G., Gaunt, T. R., Groop, L., Gudnason, V., Harris, T. B., Hayward, C., Hennig, B. J., Herzig, K. -H., Ingelsson, E., Tuomilehto, J., Jarvelin, M. -R., Jukema, J. W., Kardia, S. L. R., Kee, F., Kooner, J. S., Kooperberg, C., Launer, L. J., Lind, L., Loos, R. J. F., Majumder, A. S., Laakso, M., Melander, O., Mohlke, K. L., Murray, A. D., Nordestgaard, B. G., Orho-Melander, M., Packard, C. J., Padmanabhan, S., Palmas, W., Polasek, O., Porteous, D. J., Prentice, A. M., Province, M. A., Relton, C. L., Rice, K., Ridker, P. M., Rosendaal, F. R., Rotter, J. I., Rudan, I., Salomaa, V., Samani, N. J., Sattar, N., Sheu, W. H. -H., Smith, B. H., Soranzo, N., Spector, T. D., Starr, J. M., Sebert, S., Taylor, K. D., Lakka, T. A., Timpson, N. J., Tobin, M. D., Zeggini, E., Ramachandran, V. S., Virtamo, J., Volker, U., Weir, D. R., Charchar, F. J., Edwards, D. R. V., Edwards, T. L., Hung, A. M., O'Donnell, C. J., Tomaszewski, M., Caulfield, M. J., Holm, H., Lindgren, C. M., Liu, C., Manning, A. K., Morris, A. P., Morrison, A. C., Psaty, B. M., Saleheen, D., Stefansson, K., Boerwinkle, E., Chasman, D. I., Levy, D., Newton-Cheh, C., Munroe, P. B., Howson, J. M. M., Home Office, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), UNIVERSITY OF OULU, Epidemiology, Complex Disease Genetics, Research Programs Unit, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, HUS Children and Adolescents, Lastentautien yksikkö, Clinicum, Children's Hospital, Helsinki University Hospital Area, HUS Internal Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry and Developmental Biology, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Endokrinologian yksikkö, Department of Public Health, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Feofanova, Elena V [0000-0003-1428-7199], Chasman, Daniel I [0000-0003-3357-0862], Munroe, Patricia B [0000-0002-4176-2947], Howson, Joanna MM [0000-0001-7618-0050], Apollo - University of Cambridge Repository, Cardiology, and ACS - Heart failure & arrhythmias
Subjects: Candidate gene, Blood Pressure, GATA5 Transcription Factor, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Hypertension, Mutation, Phospholipase C beta, Polymorphism, Single Nucleotide, LOCI, Genome-wide association study, 0302 clinical medicine, Polymorphism (computer science), genetics, GENOME-WIDE ASSOCIATION, MENDELIAN RANDOMIZATION, COMMON VARIANTS, IDENTIFIES COMMON, RISK, FREQUENCY, TRAITS, HYPERTENSION, GENETICS, EPIC-CVD, 11 Medical and Health Sciences, health care economics and organizations, Genetics & Heredity, Genetics, 0303 health sciences, Million Veteran Program, 1184 Genetics, developmental biology, physiology, Single Nucleotide, humanities, 3. Good health, genetic association study, EPIC-InterAct, epidemiology, Life Sciences & Biomedicine, Understanding Society Scientific Group, hypertension, education, Biology, Article, 03 medical and health sciences, Mendelian randomization, Polymorphism, Allele frequency, Gene, 030304 developmental biology, Science & Technology, 06 Biological Sciences, meta-analysis, Minor allele frequency, genome-wide association studies, 3111 Biomedicine, 030217 neurology & neurosurgery, LifeLines Cohort Study, Developmental Biology
Abstract: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P
Published: 2020
Full Text: View/download PDF

6. Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Author: Yonova-Doing, E. (Ekaterina), Zhao, W. (Wanting), Igo Jr., R.P. (Robert), Wang, C. (Chunliang), Sundaresan, P. (Periasamy), Lee, K.E. (Kristine), Jun, G.R. (Gyungah R.), Alves, A.C. (Alexessander Couto), Chai, X. (Xiaoran), Chan, A.S.Y. (Anita S. Y.), Lee, M.C. (Mei Chin), Fong, A. (Allan), Tan, A.G. (Ava G.), Khor, C.C., Chew, E.Y. (Emily Y.), Hysi, P.G. (Pirro G.), Fan, Q. (Qiao), Chua, J. (Jacqueline), Chung, J. (Jaeyoon), Liao, J. (Jiemin), Colijn, J.M. (Johanna), Burdon, K.P. (Kathryn P.), Fritsche, L.G. (Lars), Swift, M.K. (Maria K.), Hilmy, M.H. (Maryam H.), Chee, M.L. (Miao Ling), Tedja, M. (Milly), Bonnemaijer, P.W.M. (Pieter), Gupta, P. (Preeti), Tan, Q.S. (Queenie S.), Li, Z. (Zheng), Vithana, E.N. (Eranga), Ravindran, R.D. (Ravilla D.), Chee, S.-P. (Soon-Phaik), Shi, Y. (Yuan), Liu, W. (Wenting), Su, X. (Xinyi), Sim, X. (Xueling), Shen, Y. (Yang), Wang, Y.X. (Ya Xing), Li, H. (Hengtong), Tham, Y.-C. (Yih-Chung), Teo, Y.Y. (Yik Ying), Aung, T. (Tin), Small, K.S. (Kerrin S.), Mitchell, P. (Paul), Jonas, J.B. (Jost B.), Wong, T.Y. (Tien Yin), Fletcher, A. (Astrid), Klaver, C.C.W. (Caroline), Klein, B.E.K. (Barbara E. K.), Wang, J.J. (Jie Jin), Iyengar, S.K. (Sudha K.), Hammond, C.J. (Christopher J.), Cheng, C.-Y. (Ching-Yu), Yonova-Doing, E. (Ekaterina), Zhao, W. (Wanting), Igo Jr., R.P. (Robert), Wang, C. (Chunliang), Sundaresan, P. (Periasamy), Lee, K.E. (Kristine), Jun, G.R. (Gyungah R.), Alves, A.C. (Alexessander Couto), Chai, X. (Xiaoran), Chan, A.S.Y. (Anita S. Y.), Lee, M.C. (Mei Chin), Fong, A. (Allan), Tan, A.G. (Ava G.), Khor, C.C., Chew, E.Y. (Emily Y.), Hysi, P.G. (Pirro G.), Fan, Q. (Qiao), Chua, J. (Jacqueline), Chung, J. (Jaeyoon), Liao, J. (Jiemin), Colijn, J.M. (Johanna), Burdon, K.P. (Kathryn P.), Fritsche, L.G. (Lars), Swift, M.K. (Maria K.), Hilmy, M.H. (Maryam H.), Chee, M.L. (Miao Ling), Tedja, M. (Milly), Bonnemaijer, P.W.M. (Pieter), Gupta, P. (Preeti), Tan, Q.S. (Queenie S.), Li, Z. (Zheng), Vithana, E.N. (Eranga), Ravindran, R.D. (Ravilla D.), Chee, S.-P. (Soon-Phaik), Shi, Y. (Yuan), Liu, W. (Wenting), Su, X. (Xinyi), Sim, X. (Xueling), Shen, Y. (Yang), Wang, Y.X. (Ya Xing), Li, H. (Hengtong), Tham, Y.-C. (Yih-Chung), Teo, Y.Y. (Yik Ying), Aung, T. (Tin), Small, K.S. (Kerrin S.), Mitchell, P. (Paul), Jonas, J.B. (Jost B.), Wong, T.Y. (Tien Yin), Fletcher, A. (Astrid), Klaver, C.C.W. (Caroline), Klein, B.E.K. (Barbara E. K.), Wang, J.J. (Jie Jin), Iyengar, S.K. (Sudha K.), Hammond, C.J. (Christopher J.), and Cheng, C.-Y. (Ching-Yu)
Abstract: Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10
Published: 2020
Full Text: View/download PDF

7. Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Author: Yonova-Doing, E., Zhao, W., Igo, R.P., Jr., Wang, Chaolong, Sundaresan, Periasamy, Lee, Kristine E., Klaver, C.C.W., Hammond, C.J., Cheng, C.Y., Yonova-Doing, E., Zhao, W., Igo, R.P., Jr., Wang, Chaolong, Sundaresan, Periasamy, Lee, Kristine E., Klaver, C.C.W., Hammond, C.J., and Cheng, C.Y.
Abstract: Contains fulltext : 228408.pdf (publisher's version ) (Open Access)
Published: 2020

8. Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Author: Yonova-Doing, E, Zhao, W, Igo, RP, Wang, C, Sundaresan, P, Lee, KE, Jun, GR, Alves, AC, Chai, X, Chan, ASY, Lee, MC, Fong, A, Tan, AG, Khor, CC, Chew, EY, Hysi, PG, Fan, Q, Chua, J, Chung, J, Liao, J, Colijn, JM, Burdon, KP, Fritsche, LG, Swift, MK, Hilmy, MH, Chee, ML, Tedja, M, Bonnemaijer, PWM, Gupta, P, Tan, QS, Li, Z, Vithana, EN, Ravindran, RD, Chee, S-P, Shi, Y, Liu, W, Su, X, Sim, X, Shen, Y, Wang, YX, Li, H, Tham, Y-C, Teo, YY, Aung, T, Small, KS, Mitchell, P, Jonas, JB, Wong, TY, Fletcher, AE, Klaver, CCW, Klein, BEK, Wang, JJ, Iyengar, SK, Hammond, CJ, Cheng, C-Y, Yonova-Doing, E, Zhao, W, Igo, RP, Wang, C, Sundaresan, P, Lee, KE, Jun, GR, Alves, AC, Chai, X, Chan, ASY, Lee, MC, Fong, A, Tan, AG, Khor, CC, Chew, EY, Hysi, PG, Fan, Q, Chua, J, Chung, J, Liao, J, Colijn, JM, Burdon, KP, Fritsche, LG, Swift, MK, Hilmy, MH, Chee, ML, Tedja, M, Bonnemaijer, PWM, Gupta, P, Tan, QS, Li, Z, Vithana, EN, Ravindran, RD, Chee, S-P, Shi, Y, Liu, W, Su, X, Sim, X, Shen, Y, Wang, YX, Li, H, Tham, Y-C, Teo, YY, Aung, T, Small, KS, Mitchell, P, Jonas, JB, Wong, TY, Fletcher, AE, Klaver, CCW, Klein, BEK, Wang, JJ, Iyengar, SK, Hammond, CJ, and Cheng, C-Y
Abstract: Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10-16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10-19), TMPRSS5 (rs4936279, P = 2.5 × 10-10), LINC01412 (rs16823886, P = 1.3 × 10-9), GLTSCR1 (rs1005911, P = 9.8 × 10-9), and COMMD1 (rs62149908, P = 1.2 × 10-8). The results suggest a strong link of age-related nuclear cataract with congenital cataract and eye development genes, and the importance of common genetic variants in maintaining crystalline lens integrity in the aging eye.
Published: 2020

9. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P, Feofanova, E, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, A, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Edwards, DRV, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, de Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, T, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, Y, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, A, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Smith, GD, de Boer, RA, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, M, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, J, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, van der Harst, P, van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, D, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, Surendran, P, Feofanova, E, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, A, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Edwards, DRV, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, de Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, T, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, Y, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, A, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Smith, GD, de Boer, RA, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, M, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, J, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, van der Harst, P, van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, D, Levy, D, Newton-Cheh, C, Munroe, PB, and Howson, JMM
Abstract: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10-8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.
Published: 2020

10. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P. (Praveen), Feofanova, E. V. (Elena, V), Lahrouchi, N. (Najim), Ntalla, I. (Ioanna), Karthikeyan, S. (Savita), Cook, J. (James), Chen, L. (Lingyan), Mifsud, B. (Borbala), Yao, C. (Chen), Kraja, A. T. (Aldi T.), Cartwright, J. H. (James H.), Hellwege, J. N. (Jacklyn N.), Giri, A. (Ayush), Tragante, V. (Vinicius), Thorleifsson, G. (Gudmar), Liu, D. J. (Dajiang J.), Prins, B. P. (Bram P.), Stewart, I. D. (Isobel D.), Cabrera, C. P. (Claudia P.), Eales, J. M. (James M.), Akbarov, A. (Artur), Auer, P. L. (Paul L.), Bielak, L. F. (Lawrence F.), Bis, J. C. (Joshua C.), Braithwaite, V. S. (Vickie S.), Brody, J. A. (Jennifer A.), Daw, E. W. (E. Warwick), Warren, H. R. (Helen R.), Drenos, F. (Fotios), Nielsen, S. F. (Sune Fallgaard), Faul, J. D. (Jessica D.), Fauman, E. B. (Eric B.), Fava, C. (Cristiano), Ferreira, T. (Teresa), Foley, C. N. (Christopher N.), Franceschini, N. (Nora), Gao, H. (He), Giannakopoulou, O. (Olga), Giulianini, F. (Franco), Gudbjartsson, D. F. (Daniel F.), Guo, X. (Xiuqing), Harris, S. E. (Sarah E.), Havulinna, A. S. (Aki S.), Helgadottir, A. (Anna), Huffman, J. E. (Jennifer E.), Hwang, S.-J. (Shih-Jen), Kanoni, S. (Stavroula), Kontto, J. (Jukka), Larson, M. G. (Martin G.), Li-Gao, R. (Ruifang), Lindstrom, J. (Jaana), Lotta, L. A. (Luca A.), Lu, Y. (Yingchang), Luan, J. (Jian'an), Mahajan, A. (Anubha), Malerba, G. (Giovanni), Masca, N. G. (Nicholas G. D.), Mei, H. (Hao), Menni, C. (Cristina), Mook-Kanamori, D. O. (Dennis O.), Mosen-Ansorena, D. (David), Muller-Nurasyid, M. (Martina), Pare, G. (Guillaume), Paul, D. S. (Dirk S.), Perola, M. (Markus), Poveda, A. (Alaitz), Rauramaa, R. (Rainer), Richard, M. (Melissa), Richardson, T. G. (Tom G.), Sepulveda, N. (Nuno), Sim, X. (Xueling), Smith, A. V. (Albert, V), Smith, J. A. (Jennifer A.), Staley, J. R. (James R.), Stanakova, A. (Alena), Sulem, P. (Patrick), Theriault, S. (Sebastien), Thorsteinsdottir, U. (Unnur), Trompet, S. (Stella), Varga, T. V. (Tibor V.), Edwards, D. R. (Digna R. Velez), Veronesi, G. (Giovanni), Weiss, S. (Stefan), Willems, S. M. (Sara M.), Yao, J. (Jie), Young, R. (Robin), Yu, B. (Bing), Zhang, W. (Weihua), Zhao, J.-H. (Jing-Hua), Zhao, W. (Wei), Evangelou, E. (Evangelos), Aeschbacher, S. (Stefanie), Asllanaj, E. (Eralda), Blankenberg, S. (Stefan), Bonnycastle, L. L. (Lori L.), Bork-Jensen, J. (Jette), Brandslund, I. (Ivan), Braund, P. S. (Peter S.), Burgess, S. (Stephen), Cho, K. (Kelly), Christensen, C. (Cramer), Connell, J. (John), de Mutsert, R. (Renee), Dominiczak, A. F. (Anna F.), Dorr, M. (Marcus), Eiriksdottir, G. (Gudny), Farmaki, A.-E. (Aliki-Eleni), Gaziano, J. M. (J. Michael), Grarup, N. (Niels), Grove, M. L. (Megan L.), Hallmans, G. (Goran), Hansen, T. (Torben), Have, C. T. (Christian T.), Heiss, G. (Gerardo), Jorgensen, M. E. (Marit E.), Jousilahti, P. (Pekka), Kajantie, E. (Eero), Kamat, M. (Mihir), Karajamaki, A. (AnneMari), Karpe, F. (Fredrik), Koistinen, H. A. (Heikki A.), Kovesdy, C. P. (Csaba P.), Kuulasmaa, K. (Kari), Laatikainen, T. (Tiina), Lannfelt, L. (Lars), Lee, I.-T. (I-Te), Lee, W.-J. (Wen-Jane), Linneberg, A. (Allan), Martin, L. W. (Lisa W.), Moitry, M. (Marie), Nadkarni, G. (Girish), Neville, M. J. (Matt J.), Palmer, C. N. (Colin N. A.), Papanicolaou, G. J. (George J.), Pedersen, O. (Oluf), Peters, J. (James), Poulter, N. (Neil), Rasheed, A. (Asif), Rasmussen, K. L. (Katrine L.), Rayner, N. W. (N. William), Magi, R. (Reedik), Renstrom, F. (Frida), Rettig, R. (Rainer), Rossouw, J. (Jacques), Schreiner, P. J. (Pamela J.), Sever, P. S. (Peter S.), Sigurdsson, E. L. (Emil L.), Skaaby, T. (Tea), Sun, Y. V. (Yan, V), Sundstrom, J. (Johan), Thorgeirsson, G. (Gudmundur), Esko, T. (Tonu), Trabetti, E. (Elisabetta), Tsao, P. S. (Philip S.), Tuomi, T. (Tiinamaija), Turner, S. T. (Stephen T.), Tzoulaki, I. (Ioanna), Vaartjes, I. (Ilonca), Vergnaud, A.-C. (Anne-Claire), Willer, C. J. (Cristen J.), Wilson, P. W. (Peter W. F.), Witte, D. R. (Daniel R.), Yonova-Doing, E. (Ekaterina), Zhang, H. (He), Aliya, N. (Naheed), Almgren, P. (Peter), Amouyel, P. (Philippe), Asselbergs, F. W. (Folkert W.), Barnes, M. R. (Michael R.), Blakemore, A. I. (Alexandra, I), Boehnke, M. (Michael), Bots, M. L. (Michiel L.), Bottinger, E. P. (Erwin P.), Buring, J. E. (Julie E.), Chambers, J. C. (John C.), Chen, Y. I. (Yii-Der Ida), Chowdhury, R. (Rajiv), Conen, D. (David), Correa, A. (Adolfo), Smith, G. D. (George Davey), de Boer, R. A. (Rudolf A.), Deary, I. J. (Ian J.), Dedoussis, G. (George), Deloukas, P. (Panos), Di Angelantonio, E. (Emanuele), Elliott, P. (Paul), Felix, S. B. (Stephan B.), Ferrieres, J. (Jean), Ford, I. (Ian), Fornage, M. (Myriam), Franks, P. W. (Paul W.), Franks, S. (Stephen), Frossard, P. (Philippe), Gambaro, G. (Giovanni), Gaunt, T. R. (Tom R.), Groop, L. (Leif), Gudnason, V. (Vilmundur), Harris, T. B. (Tamara B.), Hayward, C. (Caroline), Hennig, B. J. (Branwen J.), Herzig, K.-H. (Karl-Heinz), Ingelsson, E. (Erik), Tuomilehto, J. (Jaakko), Järvelin, M.-R. (Marjo-Riitta), Jukema, J. W. (J. Wouter), Kardia, S. L. (Sharon L. R.), Kee, F. (Frank), Kooner, J. S. (Jaspal S.), Kooperberg, C. (Charles), Launer, L. J. (Lenore J.), Lind, L. (Lars), Loos, R. J. (Ruth J. F.), Majumder, A. A. (Abdulla Al Shafi), Laakso, M. (Markku), McCarthy, M. I. (Mark, I), Melander, O. (Olle), Mohlke, K. L. (Karen L.), Murray, A. D. (Alison D.), Nordestgaard, B. G. (Borge Gronne), Orho-Melander, M. (Marju), Packard, C. J. (Chris J.), Padmanabhan, S. (Sandosh), Palmas, W. (Walter), Polasek, O. (Ozren), Porteous, D. J. (David J.), Prentice, A. M. (Andrew M.), Province, M. A. (Michael A.), Relton, C. L. (Caroline L.), Rice, K. (Kenneth), Ridker, P. M. (Paul M.), Rolandsson, O. (Olov), Rosendaal, F. R. (Frits R.), Rotter, J. I. (Jerome, I), Rudan, I. (Igor), Salomaa, V. (Veikko), Samani, N. J. (Nilesh J.), Sattar, N. (Naveed), Sheu, W. H. (Wayne H-H), Smith, B. H. (Blair H.), Soranzo, N. (Nicole), Spector, T. D. (Timothy D.), Starr, J. M. (John M.), Sebert, S. (Sylvain), Taylor, K. D. (Kent D.), Lakka, T. A. (Timo A.), Timpson, N. J. (Nicholas J.), Tobin, M. D. (Martin D.), van der Harst, P. (Pim), van der Meer, P. (Peter), Ramachandran, V. S. (Vasan S.), Verweij, N. (Niek), Virtamo, J. (Jarmo), Volker, U. (Uwe), Weir, D. R. (David R.), Zeggini, E. (Eleftheria), Charchar, F. J. (Fadi J.), Wareham, N. J. (Nicholas J.), Langenberg, C. (Claudia), Tomaszewski, M. (Maciej), Butterworth, A. S. (Adam S.), Caulfield, M. J. (Mark J.), Danesh, J. (John), Edwards, T. L. (Todd L.), Holm, H. (Hilma), Hung, A. M. (Adriana M.), Lindgren, C. M. (Cecilia M.), Liu, C. (Chunyu), Manning, A. K. (Alisa K.), Morris, A. P. (Andrew P.), Morrison, A. C. (Alanna C.), O'Donnell, C. J. (Christopher J.), Psaty, B. M. (Bruce M.), Saleheen, D. (Danish), Stefansson, K. (Kari), Boerwinkle, E. (Eric), Chasman, D. I. (Daniel, I), Levy, D. (Daniel), Newton-Cheh, C. (Christopher), Munroe, P. B. (Patricia B.), Howson, J. M. (Joanna M. M.), Surendran, P. (Praveen), Feofanova, E. V. (Elena, V), Lahrouchi, N. (Najim), Ntalla, I. (Ioanna), Karthikeyan, S. (Savita), Cook, J. (James), Chen, L. (Lingyan), Mifsud, B. (Borbala), Yao, C. (Chen), Kraja, A. T. (Aldi T.), Cartwright, J. H. (James H.), Hellwege, J. N. (Jacklyn N.), Giri, A. (Ayush), Tragante, V. (Vinicius), Thorleifsson, G. (Gudmar), Liu, D. J. (Dajiang J.), Prins, B. P. (Bram P.), Stewart, I. D. (Isobel D.), Cabrera, C. P. (Claudia P.), Eales, J. M. (James M.), Akbarov, A. (Artur), Auer, P. L. (Paul L.), Bielak, L. F. (Lawrence F.), Bis, J. C. (Joshua C.), Braithwaite, V. S. (Vickie S.), Brody, J. A. (Jennifer A.), Daw, E. W. (E. Warwick), Warren, H. R. (Helen R.), Drenos, F. (Fotios), Nielsen, S. F. (Sune Fallgaard), Faul, J. D. (Jessica D.), Fauman, E. B. (Eric B.), Fava, C. (Cristiano), Ferreira, T. (Teresa), Foley, C. N. (Christopher N.), Franceschini, N. (Nora), Gao, H. (He), Giannakopoulou, O. (Olga), Giulianini, F. (Franco), Gudbjartsson, D. F. (Daniel F.), Guo, X. (Xiuqing), Harris, S. E. (Sarah E.), Havulinna, A. S. (Aki S.), Helgadottir, A. (Anna), Huffman, J. E. (Jennifer E.), Hwang, S.-J. (Shih-Jen), Kanoni, S. (Stavroula), Kontto, J. (Jukka), Larson, M. G. (Martin G.), Li-Gao, R. (Ruifang), Lindstrom, J. (Jaana), Lotta, L. A. (Luca A.), Lu, Y. (Yingchang), Luan, J. (Jian'an), Mahajan, A. (Anubha), Malerba, G. (Giovanni), Masca, N. G. (Nicholas G. D.), Mei, H. (Hao), Menni, C. (Cristina), Mook-Kanamori, D. O. (Dennis O.), Mosen-Ansorena, D. (David), Muller-Nurasyid, M. (Martina), Pare, G. (Guillaume), Paul, D. S. (Dirk S.), Perola, M. (Markus), Poveda, A. (Alaitz), Rauramaa, R. (Rainer), Richard, M. (Melissa), Richardson, T. G. (Tom G.), Sepulveda, N. (Nuno), Sim, X. (Xueling), Smith, A. V. (Albert, V), Smith, J. A. (Jennifer A.), Staley, J. R. (James R.), Stanakova, A. (Alena), Sulem, P. (Patrick), Theriault, S. (Sebastien), Thorsteinsdottir, U. (Unnur), Trompet, S. (Stella), Varga, T. V. (Tibor V.), Edwards, D. R. (Digna R. Velez), Veronesi, G. (Giovanni), Weiss, S. (Stefan), Willems, S. M. (Sara M.), Yao, J. (Jie), Young, R. (Robin), Yu, B. (Bing), Zhang, W. (Weihua), Zhao, J.-H. (Jing-Hua), Zhao, W. (Wei), Evangelou, E. (Evangelos), Aeschbacher, S. (Stefanie), Asllanaj, E. (Eralda), Blankenberg, S. (Stefan), Bonnycastle, L. L. (Lori L.), Bork-Jensen, J. (Jette), Brandslund, I. (Ivan), Braund, P. S. (Peter S.), Burgess, S. (Stephen), Cho, K. (Kelly), Christensen, C. (Cramer), Connell, J. (John), de Mutsert, R. (Renee), Dominiczak, A. F. (Anna F.), Dorr, M. (Marcus), Eiriksdottir, G. (Gudny), Farmaki, A.-E. (Aliki-Eleni), Gaziano, J. M. (J. Michael), Grarup, N. (Niels), Grove, M. L. (Megan L.), Hallmans, G. (Goran), Hansen, T. (Torben), Have, C. T. (Christian T.), Heiss, G. (Gerardo), Jorgensen, M. E. (Marit E.), Jousilahti, P. (Pekka), Kajantie, E. (Eero), Kamat, M. (Mihir), Karajamaki, A. (AnneMari), Karpe, F. (Fredrik), Koistinen, H. A. (Heikki A.), Kovesdy, C. P. (Csaba P.), Kuulasmaa, K. (Kari), Laatikainen, T. (Tiina), Lannfelt, L. (Lars), Lee, I.-T. (I-Te), Lee, W.-J. (Wen-Jane), Linneberg, A. (Allan), Martin, L. W. (Lisa W.), Moitry, M. (Marie), Nadkarni, G. (Girish), Neville, M. J. (Matt J.), Palmer, C. N. (Colin N. A.), Papanicolaou, G. J. (George J.), Pedersen, O. (Oluf), Peters, J. (James), Poulter, N. (Neil), Rasheed, A. (Asif), Rasmussen, K. L. (Katrine L.), Rayner, N. W. (N. William), Magi, R. (Reedik), Renstrom, F. (Frida), Rettig, R. (Rainer), Rossouw, J. (Jacques), Schreiner, P. J. (Pamela J.), Sever, P. S. (Peter S.), Sigurdsson, E. L. (Emil L.), Skaaby, T. (Tea), Sun, Y. V. (Yan, V), Sundstrom, J. (Johan), Thorgeirsson, G. (Gudmundur), Esko, T. (Tonu), Trabetti, E. (Elisabetta), Tsao, P. S. (Philip S.), Tuomi, T. (Tiinamaija), Turner, S. T. (Stephen T.), Tzoulaki, I. (Ioanna), Vaartjes, I. (Ilonca), Vergnaud, A.-C. (Anne-Claire), Willer, C. J. (Cristen J.), Wilson, P. W. (Peter W. F.), Witte, D. R. (Daniel R.), Yonova-Doing, E. (Ekaterina), Zhang, H. (He), Aliya, N. (Naheed), Almgren, P. (Peter), Amouyel, P. (Philippe), Asselbergs, F. W. (Folkert W.), Barnes, M. R. (Michael R.), Blakemore, A. I. (Alexandra, I), Boehnke, M. (Michael), Bots, M. L. (Michiel L.), Bottinger, E. P. (Erwin P.), Buring, J. E. (Julie E.), Chambers, J. C. (John C.), Chen, Y. I. (Yii-Der Ida), Chowdhury, R. (Rajiv), Conen, D. (David), Correa, A. (Adolfo), Smith, G. D. (George Davey), de Boer, R. A. (Rudolf A.), Deary, I. J. (Ian J.), Dedoussis, G. (George), Deloukas, P. (Panos), Di Angelantonio, E. (Emanuele), Elliott, P. (Paul), Felix, S. B. (Stephan B.), Ferrieres, J. (Jean), Ford, I. (Ian), Fornage, M. (Myriam), Franks, P. W. (Paul W.), Franks, S. (Stephen), Frossard, P. (Philippe), Gambaro, G. (Giovanni), Gaunt, T. R. (Tom R.), Groop, L. (Leif), Gudnason, V. (Vilmundur), Harris, T. B. (Tamara B.), Hayward, C. (Caroline), Hennig, B. J. (Branwen J.), Herzig, K.-H. (Karl-Heinz), Ingelsson, E. (Erik), Tuomilehto, J. (Jaakko), Järvelin, M.-R. (Marjo-Riitta), Jukema, J. W. (J. Wouter), Kardia, S. L. (Sharon L. R.), Kee, F. (Frank), Kooner, J. S. (Jaspal S.), Kooperberg, C. (Charles), Launer, L. J. (Lenore J.), Lind, L. (Lars), Loos, R. J. (Ruth J. F.), Majumder, A. A. (Abdulla Al Shafi), Laakso, M. (Markku), McCarthy, M. I. (Mark, I), Melander, O. (Olle), Mohlke, K. L. (Karen L.), Murray, A. D. (Alison D.), Nordestgaard, B. G. (Borge Gronne), Orho-Melander, M. (Marju), Packard, C. J. (Chris J.), Padmanabhan, S. (Sandosh), Palmas, W. (Walter), Polasek, O. (Ozren), Porteous, D. J. (David J.), Prentice, A. M. (Andrew M.), Province, M. A. (Michael A.), Relton, C. L. (Caroline L.), Rice, K. (Kenneth), Ridker, P. M. (Paul M.), Rolandsson, O. (Olov), Rosendaal, F. R. (Frits R.), Rotter, J. I. (Jerome, I), Rudan, I. (Igor), Salomaa, V. (Veikko), Samani, N. J. (Nilesh J.), Sattar, N. (Naveed), Sheu, W. H. (Wayne H-H), Smith, B. H. (Blair H.), Soranzo, N. (Nicole), Spector, T. D. (Timothy D.), Starr, J. M. (John M.), Sebert, S. (Sylvain), Taylor, K. D. (Kent D.), Lakka, T. A. (Timo A.), Timpson, N. J. (Nicholas J.), Tobin, M. D. (Martin D.), van der Harst, P. (Pim), van der Meer, P. (Peter), Ramachandran, V. S. (Vasan S.), Verweij, N. (Niek), Virtamo, J. (Jarmo), Volker, U. (Uwe), Weir, D. R. (David R.), Zeggini, E. (Eleftheria), Charchar, F. J. (Fadi J.), Wareham, N. J. (Nicholas J.), Langenberg, C. (Claudia), Tomaszewski, M. (Maciej), Butterworth, A. S. (Adam S.), Caulfield, M. J. (Mark J.), Danesh, J. (John), Edwards, T. L. (Todd L.), Holm, H. (Hilma), Hung, A. M. (Adriana M.), Lindgren, C. M. (Cecilia M.), Liu, C. (Chunyu), Manning, A. K. (Alisa K.), Morris, A. P. (Andrew P.), Morrison, A. C. (Alanna C.), O'Donnell, C. J. (Christopher J.), Psaty, B. M. (Bruce M.), Saleheen, D. (Danish), Stefansson, K. (Kari), Boerwinkle, E. (Eric), Chasman, D. I. (Daniel, I), Levy, D. (Daniel), Newton-Cheh, C. (Christopher), Munroe, P. B. (Patricia B.), and Howson, J. M. (Joanna M. M.)
Abstract: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to similar to 1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 x 10(⁻⁸)), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were similar to 8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets., Correction A Publisher Correction to this article was published on 16 March 2021.
Published: 2020

11. Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke

Author: Abraham, G, Malik, R, Yonova-Doing, E, Salim, A, Wang, T, Danesh, J, Butterworth, AS, Howson, JMM, Inouye, M, Dichgans, M, Abraham, G, Malik, R, Yonova-Doing, E, Salim, A, Wang, T, Danesh, J, Butterworth, AS, Howson, JMM, Inouye, M, and Dichgans, M
Abstract: Recent genome-wide association studies in stroke have enabled the generation of genomic risk scores (GRS) but their predictive power has been modest compared to established stroke risk factors. Here, using a meta-scoring approach, we develop a metaGRS for ischaemic stroke (IS) and analyse this score in the UK Biobank (n = 395,393; 3075 IS events by age 75). The metaGRS hazard ratio for IS (1.26, 95% CI 1.22-1.31 per metaGRS standard deviation) doubles that of a previous GRS, identifying a subset of individuals at monogenic levels of risk: the top 0.25% of metaGRS have three-fold risk of IS. The metaGRS is similarly or more predictive compared to several risk factors, such as family history, blood pressure, body mass index, and smoking. We estimate the reductions needed in modifiable risk factors for individuals with different levels of genomic risk and suggest that, for individuals with high metaGRS, achieving risk factor levels recommended by current guidelines may be insufficient to mitigate risk.
Published: 2019

12. New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics.

Author: Springelkamp, H. (Henriët), Iglesias, A.I. (Adriana), Mishra, A. (Aniket), Höhn, R. (René), Wojciechowski, R. (Robert), Khawaja, A.P. (Anthony), Nag, A. (Abhishek), Wang, Y.X. (Ya Xing), Wang, J.J. (Jie Jin), Cuellar-Partida, G. (Gabriel), Gibson, J. (Jane), Cooke Bailey, J.N. (Jessica), Vithana, E.N. (Eranga), Gharahkhani, P. (Puya), Boutin, T. (Thibaud), Ramdas, W.D. (Wishal), Zeller, T. (Tanja), Luben, R.N. (Robert), Yonova-Doing, E. (Ekaterina), Viswanathan, A.C. (Ananth), Yazar, S. (Seyhan), Cree, A.J. (Angela), Haines, J.L. (Jonathan), Koh, J.Y. (Jia Yu), Souzeau, E. (Emmanuelle), Wilson, J.F. (James), Amin, N. (Najaf), Müller, C. (Christian), Venturini, C. (Cristina), Kearns, L.S. (Lisa), Hee Kang, J. (Jae), Consortium, N. (Neighborhood), Tham, Y.C. (Yih Chung), Zhou, T. (Tiger), van Leeuwen, E.M. (Elisabeth), Nickels, S. (Stefan), Sanfilippo, P. (Paul), Liao, J. (Jiemin), Linde, H.V. (Herma van der), Zhao, W. (Wanting), van Koolwijk, L.M. (Leonieke), Zheng, L. (Li), Rivadeneira, F. (Fernando), Baskaran, M. (Mani), van der Lee, S.J. (Sven), Perera, S. (Shamira), de Jong, P.T. (Paulus), Oostra, B.A. (Ben), Uitterlinden, A.G. (André), Fan, Q. (Qiao), Hofman, A. (Albert), Shyong Tai, E. (E-), Vingerling, J.R. (Johannes), Sim, X. (Xueling), Wolfs, R.C. (Roger), Teo, Y.Y. (Yik Ying), Lemij, H.G. (Hans), Khor, C.C. (Chiea Chuen), Willemsen, R. (Rob), Lackner, K.J. (Karl), Aung, T. (Tin), Jansonius, N.M. (Nomdo), Montgomery, G. (Grant), Wild, P.S. (Philipp), Young, T.L. (Terri), Burdon, K.P. (Kathryn), Hysi, P.G. (Pirro), Pasquale, L.R. (Louis), Wong, T.Y. (Tien Yin), Klaver, C.C. (Caroline), Hewitt, A.W. (Alex), Jonas, J.B. (Jost), Mitchell, P. (Paul), Lotery, A.J. (Andrew), Foster, P.J. (Paul), Vitart, V. (Veronique), Pfeiffer, N. (Norbert), Craig, J.E. (Jamie), Mackey, D.A. (David), Hammond, C.J. (Christopher), Wiggs, J.L. (Janey), Cheng, C.Y. (Ching-Yu), van Duijn, C.M. (Cornelia), MacGregor, S. (Stuart), Springelkamp, H. (Henriët), Iglesias, A.I. (Adriana), Mishra, A. (Aniket), Höhn, R. (René), Wojciechowski, R. (Robert), Khawaja, A.P. (Anthony), Nag, A. (Abhishek), Wang, Y.X. (Ya Xing), Wang, J.J. (Jie Jin), Cuellar-Partida, G. (Gabriel), Gibson, J. (Jane), Cooke Bailey, J.N. (Jessica), Vithana, E.N. (Eranga), Gharahkhani, P. (Puya), Boutin, T. (Thibaud), Ramdas, W.D. (Wishal), Zeller, T. (Tanja), Luben, R.N. (Robert), Yonova-Doing, E. (Ekaterina), Viswanathan, A.C. (Ananth), Yazar, S. (Seyhan), Cree, A.J. (Angela), Haines, J.L. (Jonathan), Koh, J.Y. (Jia Yu), Souzeau, E. (Emmanuelle), Wilson, J.F. (James), Amin, N. (Najaf), Müller, C. (Christian), Venturini, C. (Cristina), Kearns, L.S. (Lisa), Hee Kang, J. (Jae), Consortium, N. (Neighborhood), Tham, Y.C. (Yih Chung), Zhou, T. (Tiger), van Leeuwen, E.M. (Elisabeth), Nickels, S. (Stefan), Sanfilippo, P. (Paul), Liao, J. (Jiemin), Linde, H.V. (Herma van der), Zhao, W. (Wanting), van Koolwijk, L.M. (Leonieke), Zheng, L. (Li), Rivadeneira, F. (Fernando), Baskaran, M. (Mani), van der Lee, S.J. (Sven), Perera, S. (Shamira), de Jong, P.T. (Paulus), Oostra, B.A. (Ben), Uitterlinden, A.G. (André), Fan, Q. (Qiao), Hofman, A. (Albert), Shyong Tai, E. (E-), Vingerling, J.R. (Johannes), Sim, X. (Xueling), Wolfs, R.C. (Roger), Teo, Y.Y. (Yik Ying), Lemij, H.G. (Hans), Khor, C.C. (Chiea Chuen), Willemsen, R. (Rob), Lackner, K.J. (Karl), Aung, T. (Tin), Jansonius, N.M. (Nomdo), Montgomery, G. (Grant), Wild, P.S. (Philipp), Young, T.L. (Terri), Burdon, K.P. (Kathryn), Hysi, P.G. (Pirro), Pasquale, L.R. (Louis), Wong, T.Y. (Tien Yin), Klaver, C.C. (Caroline), Hewitt, A.W. (Alex), Jonas, J.B. (Jost), Mitchell, P. (Paul), Lotery, A.J. (Andrew), Foster, P.J. (Paul), Vitart, V. (Veronique), Pfeiffer, N. (Norbert), Craig, J.E. (Jamie), Mackey, D.A. (David), Hammond, C.J. (Christopher), Wiggs, J.L. (Janey), Cheng, C.Y. (Ching-Yu), van Duijn, C.M. (Cornelia), and MacGregor, S. (Stuart)
Abstract: Primary open-angle glaucoma (POAG), the most common optic neuropathy, is a heritable disease. Siblings of POAG cases have a ten-fold increase risk of developing the disease. Intraocular pressure (IOP) and optic nerve head characteristics are used clinically to predict POAG risk. We conducted a genome-wide association meta-analysis of IOP and optic disc parameters and validated our findings in multiple sets of POAG cases and controls. Using imputation to the 1000 genomes (1000G) reference set, we identified 9 new genomic regions associated with vertical cup disc ratio (VCDR) and 1 new region associated with IOP. Additionally, we found 5 novel loci for optic nerve cup area and 6 for disc area. Previously it was assumed that genetic variation influenced POAG either through IOP or via changes to the optic nerve head; here we present evidence that some genomic regions affect both IOP and the disc parameters. We characterized the effect of the novel loci through pathway analysis and found that pathways involved are not entirely distinct as assumed so far. Further, we identified a novel association between CDKN1A and POAG. Using a zebrafish model we show that six6b (associated with POAG and optic nerve head variation) alters the expression of cdkn1a In summary, we have identified several novel genes influencing the major clinical risk predictors of POAG and showed that genetic variation in CDKN1A is important in POAG risk.
Published: 2017
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13. New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics

Author: Springelkamp, H., Iglesias, A.I., Mishra, A, Hohn, R., Wojciechowski, R., Khawaja, A.P., Nag, A., Wang, Y.X., Wang, J.J., Cuellar-Partida, G., Gibson, J., Bailey, J.N., Vithana, E.N., Gharahkhani, P., Boutin, T., Ramdas, W.D., Zeller, T., Luben, R.N., Yonova-Doing, E., Viswanathan, A.C., Yazar, S., Cree, A.J., Haines, J.L., Koh, J.Y., Souzeau, E., Wilson, J.F., Amin, N., Muller, C., Venturini, C., Kearns, L.S., Kang, J.H., Tham, Y.C., Zhou, T., Leeuwen, E.M. van, Nickels, S., Sanfilippo, P., Liao, J., Linde, H. van der, Zhao, W., Koolwijk, L.M. van, Zheng, L., Rivadeneira, F., Baskaran, M., Lee, S.J. van der, Perera, S., Jong, P.T., Oostra, B.A., Uitterlinden, A.G., Fan, Q., Hofman, A., Tai, E.S., Vingerling, J.R., Sim, X., Wolfs, R.C., Teo, Y.Y., Lemij, H.G., Khor, C.C., Willemsen, R., Lackner, K.J., Aung, T., Jansonius, N.M., Montgomery, G., Wild, P.S., Young, T.L., Burdon, K.P., Hysi, P.G., Pasquale, L.R., Wong, T.Y., Klaver, C.C.W., Hewitt, A.W., Jonas, J.B., Mitchell, P., Lotery, A.J., Foster, P.J., Vitart, V., Pfeiffer, N., Craig, J.E., Mackey, D.A., Hammond, C.J., Wiggs, J.L., Cheng, C.Y., Duijn, C.M. van, MacGregor, S., Springelkamp, H., Iglesias, A.I., Mishra, A, Hohn, R., Wojciechowski, R., Khawaja, A.P., Nag, A., Wang, Y.X., Wang, J.J., Cuellar-Partida, G., Gibson, J., Bailey, J.N., Vithana, E.N., Gharahkhani, P., Boutin, T., Ramdas, W.D., Zeller, T., Luben, R.N., Yonova-Doing, E., Viswanathan, A.C., Yazar, S., Cree, A.J., Haines, J.L., Koh, J.Y., Souzeau, E., Wilson, J.F., Amin, N., Muller, C., Venturini, C., Kearns, L.S., Kang, J.H., Tham, Y.C., Zhou, T., Leeuwen, E.M. van, Nickels, S., Sanfilippo, P., Liao, J., Linde, H. van der, Zhao, W., Koolwijk, L.M. van, Zheng, L., Rivadeneira, F., Baskaran, M., Lee, S.J. van der, Perera, S., Jong, P.T., Oostra, B.A., Uitterlinden, A.G., Fan, Q., Hofman, A., Tai, E.S., Vingerling, J.R., Sim, X., Wolfs, R.C., Teo, Y.Y., Lemij, H.G., Khor, C.C., Willemsen, R., Lackner, K.J., Aung, T., Jansonius, N.M., Montgomery, G., Wild, P.S., Young, T.L., Burdon, K.P., Hysi, P.G., Pasquale, L.R., Wong, T.Y., Klaver, C.C.W., Hewitt, A.W., Jonas, J.B., Mitchell, P., Lotery, A.J., Foster, P.J., Vitart, V., Pfeiffer, N., Craig, J.E., Mackey, D.A., Hammond, C.J., Wiggs, J.L., Cheng, C.Y., Duijn, C.M. van, and MacGregor, S.
Abstract: Item does not contain fulltext, Primary open-angle glaucoma (POAG), the most common optic neuropathy, is a heritable disease. Siblings of POAG cases have a ten-fold increased risk of developing the disease. Intraocular pressure (IOP) and optic nerve head characteristics are used clinically to predict POAG risk. We conducted a genome-wide association meta-analysis of IOP and optic disc parameters and validated our findings in multiple sets of POAG cases and controls. Using imputation to the 1000 genomes (1000G) reference set, we identified 9 new genomic regions associated with vertical cup-disc ratio (VCDR) and 1 new region associated with IOP. Additionally, we found 5 novel loci for optic nerve cup area and 6 for disc area. Previously it was assumed that genetic variation influenced POAG either through IOP or via changes to the optic nerve head; here we present evidence that some genomic regions affect both IOP and the disc parameters. We characterized the effect of the novel loci through pathway analysis and found that pathways involved are not entirely distinct as assumed so far. Further, we identified a novel association between CDKN1A and POAG. Using a zebrafish model we show that six6b (associated with POAG and optic nerve head variation) alters the expression of cdkn1a. In summary, we have identified several novel genes influencing the major clinical risk predictors of POAG and showed that genetic variation in CDKN1A is important in POAG risk.
Published: 2017

14. New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics

Author: Springelkamp, Henriët, Iglesias Gonzalez, Adriana, Mishra, A, Hohn, R, Wojciechowski, R, Khawaja, AP, Nag, A, Wang, YX, Wang, JJ, Cuellar-Partida, G, Gibson, J, Bailey, JNC, Vithana, EN, Gharahkhani, P, Boutin, T, Ramdas, Wishal, Zeller, T, Luben, RN, Yonova-Doing, E, Viswanathan, AC, Yazar, S, Cree, AJ, Haines, JL, Koh, JY, Souzeau, E, Wilson, JF, Amin, Najaf, Muller, C, Venturini, C, Kearns, LS, Kang, JH, Tham, YC, Zhou, T, van Leeuwen, EM, Nickels, S, Sanfilippo, P, Liao, JM, van der Linde, HC, Zhao, WT, Koolwijk, Leonieke, Zheng, L, Rivadeneira, Fernando, Baskaran, M, van der Lee, Sven, Perera, S, Jong, P, Oostra, Ben, Uitterlinden, André, Fan, Q, Hofman, Bert, Tai, ES, Vingerling, Hans, Sim, XL, Wolfs, R.C.W., Teo, YY, Lemij, HG, Khor, CC, Willemsen, Rob, Lackner, KJ, Aung, T, Jansonius, NM, Montgomery, G, Wild, PS, Young, TL, Burdon, KP, Hysi, PG, Pasquale, LR, Wong, TY, Klaver, Caroline, Hewitt, AW, Jonas, JB, Mitchell, P, Lotery, AJ, Foster, PJ, Vitart, V, Pfeiffer, N, Craig, JE, Mackey, DA, Hammond, CJ, Wiggs, JL, Cheng, CY (Ching-Yu), Duijn, Cornelia, Macgregor, S, Springelkamp, Henriët, Iglesias Gonzalez, Adriana, Mishra, A, Hohn, R, Wojciechowski, R, Khawaja, AP, Nag, A, Wang, YX, Wang, JJ, Cuellar-Partida, G, Gibson, J, Bailey, JNC, Vithana, EN, Gharahkhani, P, Boutin, T, Ramdas, Wishal, Zeller, T, Luben, RN, Yonova-Doing, E, Viswanathan, AC, Yazar, S, Cree, AJ, Haines, JL, Koh, JY, Souzeau, E, Wilson, JF, Amin, Najaf, Muller, C, Venturini, C, Kearns, LS, Kang, JH, Tham, YC, Zhou, T, van Leeuwen, EM, Nickels, S, Sanfilippo, P, Liao, JM, van der Linde, HC, Zhao, WT, Koolwijk, Leonieke, Zheng, L, Rivadeneira, Fernando, Baskaran, M, van der Lee, Sven, Perera, S, Jong, P, Oostra, Ben, Uitterlinden, André, Fan, Q, Hofman, Bert, Tai, ES, Vingerling, Hans, Sim, XL, Wolfs, R.C.W., Teo, YY, Lemij, HG, Khor, CC, Willemsen, Rob, Lackner, KJ, Aung, T, Jansonius, NM, Montgomery, G, Wild, PS, Young, TL, Burdon, KP, Hysi, PG, Pasquale, LR, Wong, TY, Klaver, Caroline, Hewitt, AW, Jonas, JB, Mitchell, P, Lotery, AJ, Foster, PJ, Vitart, V, Pfeiffer, N, Craig, JE, Mackey, DA, Hammond, CJ, Wiggs, JL, Cheng, CY (Ching-Yu), Duijn, Cornelia, and Macgregor, S
Published: 2017

15. A genome-wide association study of intra-ocular pressure suggests a novel association in the gene FAM125B in the TwinsUK cohort

Author: Nag, A., Venturini, C., Small, K.S., Young, T. L., Viswanathan, A.C., Mackey, D.A., Hysi, P.G., Hammond, C., Aung, T., Cheng, C.-Y., Fleck, B.W., Gibson, J., Hewitt, A.W., Hofman, A., Hohn, R., Jonas, J.B., Khor, C.-C., Klaver, C.C., Lemij, H.G., Liao, J., Lotery, A.J., Lu, Y., Macgregor, S., Mitchell, P., Ramdas, W.D., Springelkamp, H., Tai, E.-S., Teo, Y.-Y., Uitterlinden, A.G., van Duijn, C.M., van Koolwijk, L.M., Vingerling, J.R., Vitart, V., Vithana, E., Wang, J.J., Williams, K.M., Wojciechowski, R., Wong, T.-Y., WTCCC, None, Xu, L., Yonova-Doing, E., and Tanja, Z.
Subjects: genetic structures, eye diseases
Abstract: Glaucoma is a major cause of blindness in the world. To date, common genetic variants associated with glaucoma only explain a small proportion of its heritability. We performed a genome-wide association study of intra-ocular pressure (IOP), an underlying endophenotype for glaucoma. The discovery phase of the study was carried out in the TwinsUK cohort (N = 2774) analyzing association between IOP and single nucleotide polymorphisms (SNPs) imputed to HapMap2. The results were validated in 12 independent replication cohorts of European ancestry (combined N = 22 789) that were a part of the International Glaucoma Genetics Consortium. Expression quantitative trait locus (eQTL) analyses of the significantly associated SNPs were performed using data from the Multiple Tissue Human Expression Resource (MuTHER) Study. In the TwinsUK cohort, IOP was significantly associated with a number of SNPs at 9q33.3 (P = 3.48 × 10(-8) for rs2286885, the most significantly associated SNP at this locus), within the genomic sequence of the FAM125B gene. Independent replication in a composite panel of 12 cohorts revealed consistent direction of effect and significant association (P = 0.003, for fixed-effect meta-analysis). Suggestive evidence for an eQTL effect of rs2286885 was observed for one of the probes targeting the coding region of the FAM125B gene. This gene codes for a component of a membrane complex involved in vesicular trafficking process, a function similar to that of the Caveolin genes (CAV1 and CAV2) which have previously been associated with primary open-angle glaucoma. This study suggests a novel association between SNPs in FAM125B and IOP in the TwinsUK cohort, though further studies to elucidate the functional role of this gene in glaucoma are necessary.
Published: 2014

16. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium

Author: Li, Q. (Qing), Wojciechowski, R. (Robert), Simpson, C.L. (Claire), Hysi, P.G. (Pirro), Verhoeven, V.J.M. (Virginie), Ikram, M.K. (Kamran), Höhn, R. (René), Vitart, V. (Veronique), Hewit, A.W. (Alex), Oexle, K. (Konrad), Makela, K.M. (Kari Matti), MacGregor, S. (Stuart), Pirastu, M. (Mario), Fan, Q. (Qiao), Cheng, C-Y. (Ching-Yu), St Pourcain, B. (Beate), Mcmahon, G. (George), Kemp, J.P. (John), Northstone, K. (Kate), Rahi, J.S. (Jugnoo), Cumberland, P. (Phillippa), Martin, N.G. (Nicholas), Sanfilippo, P.G. (Paul G.), Lu, Y. (Yi), Wang, Y. (Ying), Hayward, C. (Caroline), Polasek, O. (Ozren), Campbell, H. (Harry), Bencic, G. (Goran), Wright, A. (Alan), Wedenoja, J. (Juho), Zeller, T. (Tanja), Schillert, A. (Arne), Mirshahi, A. (Alireza), Lackner, K.J. (Karl), Yip, S.P. (Shea Ping), Yap, M.K.H. (Maurice K. H.), Ried, J.S. (Janina), Gieger, C. (Christian), Murgia, D. (Daniela), Wilson, J.F. (James F), Fleck, B.W. (Brian W.), Yazar, S. (Seyhan), Vingerling, J.R. (Hans), Hofman, A. (Albert), Uitterlinden, A.G. (André), Rivadeneira Ramirez, F. (Fernando), Amin, N. (Najaf), Karssen, L.C. (Lennart), Oostra, B.A. (Ben), Zhou, X. (Xin), Teo, Y.Y. (Yik Ying), Tai, E.S. (Shyong), Vithana, E.N. (Eranga), Barathi, V.A. (Veluchamy), Zheng, Y. (Yingfeng), Siantar, R. (Rosalynn), Neelam, K. (Kumari), Shin, Y. (Youchan), Lam, J. (Janice), Yonova-Doing, E. (Ekaterina), Venturini, C. (Cristina), Hosseini, S.M. (S Mohsen), Wong, H.-S. (Hoi-Suen), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Raitakari, O. (Olli), Timpson, N.J. (Nicholas), Evans, D.M. (David M.), Khor, C.C., Aung, T. (Tin), Young, T.L. (Terri), Mitchell, P. (Paul), Klein, B.E.K. (Barbara), Duijn, C.M. (Cornelia) van, Meitinger, T. (Thomas), Jonas, J.B. (Jost B.), Baird, P.N. (Paul), Mackey, D.A. (David), Wong, T.Y. (Tien Yin), Saw, S-M. (Seang-Mei), Pärssinen, O. (Olavi), Stambolian, D.E. (Dwight), Hammond, C.J. (Christopher), Klaver, C.C.W. (Caroline), Williams, C. (Cathy), Paterson, A.D. (Andrew), Bailey-Wilson, J.E. (Joan E.), Guggenheim, J. (Jean), Li, Q. (Qing), Wojciechowski, R. (Robert), Simpson, C.L. (Claire), Hysi, P.G. (Pirro), Verhoeven, V.J.M. (Virginie), Ikram, M.K. (Kamran), Höhn, R. (René), Vitart, V. (Veronique), Hewit, A.W. (Alex), Oexle, K. (Konrad), Makela, K.M. (Kari Matti), MacGregor, S. (Stuart), Pirastu, M. (Mario), Fan, Q. (Qiao), Cheng, C-Y. (Ching-Yu), St Pourcain, B. (Beate), Mcmahon, G. (George), Kemp, J.P. (John), Northstone, K. (Kate), Rahi, J.S. (Jugnoo), Cumberland, P. (Phillippa), Martin, N.G. (Nicholas), Sanfilippo, P.G. (Paul G.), Lu, Y. (Yi), Wang, Y. (Ying), Hayward, C. (Caroline), Polasek, O. (Ozren), Campbell, H. (Harry), Bencic, G. (Goran), Wright, A. (Alan), Wedenoja, J. (Juho), Zeller, T. (Tanja), Schillert, A. (Arne), Mirshahi, A. (Alireza), Lackner, K.J. (Karl), Yip, S.P. (Shea Ping), Yap, M.K.H. (Maurice K. H.), Ried, J.S. (Janina), Gieger, C. (Christian), Murgia, D. (Daniela), Wilson, J.F. (James F), Fleck, B.W. (Brian W.), Yazar, S. (Seyhan), Vingerling, J.R. (Hans), Hofman, A. (Albert), Uitterlinden, A.G. (André), Rivadeneira Ramirez, F. (Fernando), Amin, N. (Najaf), Karssen, L.C. (Lennart), Oostra, B.A. (Ben), Zhou, X. (Xin), Teo, Y.Y. (Yik Ying), Tai, E.S. (Shyong), Vithana, E.N. (Eranga), Barathi, V.A. (Veluchamy), Zheng, Y. (Yingfeng), Siantar, R. (Rosalynn), Neelam, K. (Kumari), Shin, Y. (Youchan), Lam, J. (Janice), Yonova-Doing, E. (Ekaterina), Venturini, C. (Cristina), Hosseini, S.M. (S Mohsen), Wong, H.-S. (Hoi-Suen), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Raitakari, O. (Olli), Timpson, N.J. (Nicholas), Evans, D.M. (David M.), Khor, C.C., Aung, T. (Tin), Young, T.L. (Terri), Mitchell, P. (Paul), Klein, B.E.K. (Barbara), Duijn, C.M. (Cornelia) van, Meitinger, T. (Thomas), Jonas, J.B. (Jost B.), Baird, P.N. (Paul), Mackey, D.A. (David), Wong, T.Y. (Tien Yin), Saw, S-M. (Seang-Mei), Pärssinen, O. (Olavi), Stambolian, D.E. (Dwight), Hammond, C.J. (Christopher), Klaver, C.C.W. (Caroline), Williams, C. (Cathy), Paterson, A.D. (Andrew), Bailey-Wilson, J.E. (Joan E.), and Guggenheim, J. (Jean)
Abstract: To identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295); White Europeans aged <25 years (4 cohorts, N = 5,640); and all independent individuals from the above three samples combined with a sample of Chinese subjects aged <25 years (N = 45,931). Participants were classified as cases with refractive astigmatism if the average cylinder power in their two eyes was at least 1.00 diopter and as controls otherwise. Genome-wide association analysis was carried out for each cohort separately using logistic regression. Meta-analysis was conducted using a fixed effects model. In the older European group the most strongly associated marker was downstream of the neurexin-1 (NRXN1) gene (rs1401327, P = 3.92E−8). No other region reached genome-wide significance, and association signals were lower for the younger European group and Asian group. In the meta-analysis of all cohorts, no marker reached genome-wide significance: The most strongly associated regions were, NRXN1 (rs1401327, P = 2.93E−07), TOX (rs7823467, P = 3.47E−07) and LINC00340 (rs12212674, P = 1.49E−06). For 34 markers identified in prior GWAS for spherical equivalent refractive error, the beta coefficients for genotype versus spherical
Published: 2015
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17. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium

Author: Li, Q, Wojciechowski, R, Simpson, CL, Hysi, PG, Verhoeven, VJM, Ikram, MK, Hoehn, R, Vitart, V, Hewitt, AW, Oexle, K, Makela, K-M, MacGregor, S, Pirastu, M, Fan, Q, Cheng, C-Y, St Pourcain, B, McMahon, G, Kemp, JP, Northstone, K, Rahi, JS, Cumberland, PM, Martin, NG, Sanfilippo, PG, Lu, Y, Wang, YX, Hayward, C, Polasek, O, Campbell, H, Bencic, G, Wright, AF, Wedenoja, J, Zeller, T, Schillert, A, Mirshahi, A, Lackner, K, Yip, SP, Yap, MKH, Ried, JS, Gieger, C, Murgia, F, Wilson, JF, Fleck, B, Yazar, S, Vingerling, JR, Hofman, A, Uitterlinden, A, Rivadeneira, F, Amin, N, Karssen, L, Oostra, BA, Zhou, X, Teo, Y-Y, Tai, ES, Vithana, E, Barathi, V, Zheng, Y, Siantar, RG, Neelam, K, Shin, Y, Lam, J, Yonova-Doing, E, Venturini, C, Hosseini, SM, Wong, H-S, Lehtimaki, T, Kahonen, M, Raitakari, O, Timpson, NJ, Evans, DM, Khor, C-C, Aung, T, Young, TL, Mitchell, P, Klein, B, van Duijn, CM, Meitinger, T, Jonas, JB, Baird, PN, Mackey, DA, Wong, TY, Saw, S-M, Parssinen, O, Stambolian, D, Hammond, CJ, Klaver, CCW, Williams, C, Paterson, AD, Bailey-Wilson, JE, Guggenheim, JA, Li, Q, Wojciechowski, R, Simpson, CL, Hysi, PG, Verhoeven, VJM, Ikram, MK, Hoehn, R, Vitart, V, Hewitt, AW, Oexle, K, Makela, K-M, MacGregor, S, Pirastu, M, Fan, Q, Cheng, C-Y, St Pourcain, B, McMahon, G, Kemp, JP, Northstone, K, Rahi, JS, Cumberland, PM, Martin, NG, Sanfilippo, PG, Lu, Y, Wang, YX, Hayward, C, Polasek, O, Campbell, H, Bencic, G, Wright, AF, Wedenoja, J, Zeller, T, Schillert, A, Mirshahi, A, Lackner, K, Yip, SP, Yap, MKH, Ried, JS, Gieger, C, Murgia, F, Wilson, JF, Fleck, B, Yazar, S, Vingerling, JR, Hofman, A, Uitterlinden, A, Rivadeneira, F, Amin, N, Karssen, L, Oostra, BA, Zhou, X, Teo, Y-Y, Tai, ES, Vithana, E, Barathi, V, Zheng, Y, Siantar, RG, Neelam, K, Shin, Y, Lam, J, Yonova-Doing, E, Venturini, C, Hosseini, SM, Wong, H-S, Lehtimaki, T, Kahonen, M, Raitakari, O, Timpson, NJ, Evans, DM, Khor, C-C, Aung, T, Young, TL, Mitchell, P, Klein, B, van Duijn, CM, Meitinger, T, Jonas, JB, Baird, PN, Mackey, DA, Wong, TY, Saw, S-M, Parssinen, O, Stambolian, D, Hammond, CJ, Klaver, CCW, Williams, C, Paterson, AD, Bailey-Wilson, JE, and Guggenheim, JA
Abstract: To identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295); White Europeans aged <25 years (4 cohorts, N = 5,640); and all independent individuals from the above three samples combined with a sample of Chinese subjects aged <25 years (N = 45,931). Participants were classified as cases with refractive astigmatism if the average cylinder power in their two eyes was at least 1.00 diopter and as controls otherwise. Genome-wide association analysis was carried out for each cohort separately using logistic regression. Meta-analysis was conducted using a fixed effects model. In the older European group the most strongly associated marker was downstream of the neurexin-1 (NRXN1) gene (rs1401327, P = 3.92E-8). No other region reached genome-wide significance, and association signals were lower for the younger European group and Asian group. In the meta-analysis of all cohorts, no marker reached genome-wide significance: The most strongly associated regions were, NRXN1 (rs1401327, P = 2.93E-07), TOX (rs7823467, P = 3.47E-07) and LINC00340 (rs12212674, P = 1.49E-06). For 34 markers identified in prior GWAS for spherical equivalent refractive error, the beta coefficients for genotype versus spherical equivalent, and genotype versus refractive astigmatism, were highly correlated (r = -0.59, P = 2.10E-04). This work revealed no consistent or strong genetic signals for refractive astigmatism; however, the TOX gene region previously identified in GWAS for spherical equivalent refractive error was the second most strongly associated region. Analysis of additional markers provided evidence supporting widespread genetic co-susceptibility for spherical and astigmatic refractive errors.
Published: 2015

18. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia (vol 45, pg 314, 2013)

Author: Verhoeven, Virginie, Hysi, PG, Wojciechowski, R, Fan, Q, Guggenheim, JA, Hohn, R, Macgregor, S, Hewitt, AW, Nag, A, Cheng, CY (Ching-Yu), Yonova-Doing, E, Zhou, X, Ikram, Kamran, Buitendijk, Gabriëlle, McMahon, G, Kemp, JP, St Pourcain, B, Simpson, CL, Makela, KM, Lehtimaki, T, Kahonen, M, Paterson, AD, Hosseini, SM, Wong, HS, Xu, L, Jonas, JB, Parssinen, O, Wedenoja, J, Yip, SP, Ho, DWH, Pang, CP, Chen, LJ, Burdon, KP, Craig, JE, Klein, BEK, Klein, R, Haller, T, Metspalu, A, Khor, CC, Tai, ES, Aung, T, Vithana, E, Tay, WT, Barathi, VA, Chen, Peng, Li, RY, Liao, JM, Zheng, YF, Ong, RT, Doring, A, Evans, DM, Timpson, NJ, Verkerk, AJMH, Meitinger, T, Raitakari, O, Hawthorne, F, Spector, TD, Karssen, Lennart, Pirastu, M, Murgia, F, Ang, W, Mishra, A, Montgomery, GW, Pennell, CE, Cumberland, PM, Cotlarciuc, I, Mitchell, P, Wang, JJ, Schache, M, Janmahasathian, S, Igo, RP, Lass, JH, Chew, E, KIyengar, S, Gorgels, TGMF (Theo), Rudan, I, Hayward, C, Wright, AF, Polasek, O, Vatavuk, Z, Wilson, JF, Fleck, B, Zeller, T, Mirshahi, A, Müller, Caspar, Uitterlinden, André, Rivadeneira, Fernando, Vingerling, Hans, Hofman, Bert, Oostra, Ben, Amin, Najaf, Bergen, Arthur, Teo, YY, Rahi, JS, Vitart, V, Williams, C, Baird, PN, Wong, TY (Tien Yin), Oexle, K, Pfeiffer, N, Mackey, DA, Young, TL, Duijn, Cornelia, Saw, SM, Bailey-Wilson, JE, Stambolian, D, Klaver, Caroline, Hammond, CJ, Ophthalmology, Pathology, Epidemiology, Cell biology, Anesthesiology, Internal Medicine, Clinical Genetics, and Obstetrics & Gynecology
Published: 2013

19. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

Author: Verhoeven, V.J.M. (Virginie), Hysi, P.G. (Pirro), Wojciechowski, R. (Robert), Fan, Q. (Qiao), Guggenheim, J. (Jean), Höhn, R. (René), MacGregor, S. (Stuart), Hewit, A.W. (Alex), Nag, A. (Abhishek), Cheng, C-Y. (Ching-Yu), Yonova-Doing, E. (Ekaterina), Zhou, X. (Xin), Ikram, M.K. (Kamran), Buitendijk, G.H.S. (Gabrielle), Mcmahon, G. (George), Kemp, J.P. (John), Pourcain, B.S. (Beate), Simpson, C.L. (Claire), Mäkelä, M.J., Lehtimäki, T. (Terho), Kähönen, M. (Mika), Paterson, A.D. (Andrew), Hosseini, M. (Mehran), Wong, H.S. (Hoi Suen), Xu, L. (Liang), Jonas, J.B., Pärssinen, O. (Olavi), Wedenoja, J. (Juho), Yip, S.P. (Shea Ping), Ho, D.W.H. (Daniel), Pang, C.P. (Chi), Chen, L.J. (Li), Burdon, K.P. (Kathryn), Craig, J.E. (Jamie), Klein, B.E.K. (Barbara), Haller, T. (Toomas), Metspalu, A. (Andres), Khor, C.C., Tai, E.S. (Shyong), Aung, T. (Tin), Vithana, E.N. (Eranga), Tay, W.-T. (Wan-Ting), Barathi, V.A. (Veluchamy), Chen, P. (Ping), Li, R. (Rui), Liao, J. (Jie), Zheng, Y. (Yuhui), Ong, R.T.H. (Rick Twee-Hee), Döring, A. (Angela), Evans, D.M. (David), Timpson, N.J. (Nicholas), Verkerk, A., Meitinger, T. (Thomas), Raitakari, O. (Olli), Hawthorne, F. (Felicia), Spector, T.D. (Timothy), Karssen, L.C. (Lennart), Pirastu, M. (Mario), Murgia, D. (Daniela), Ang, W.Q. (Wei), Mishra, A. (Aniket), Montgomery, G.W. (Grant), Pennell, C.E. (Craig), Cumberland, P. (Phillippa), Cotlarciuc, I. (Ioana), Mitchell, P. (Paul), Wang, J.J. (Jie Jin), Schache, M. (Maria), Janmahasathian, S. (Sarayut), Igo Jr., R.P. (Robert), Lass Jr., J.H. (Jonathan), Chew, E.Y. (Emily), Iyengar, S.K. (Sudha), Gorgels, T.G.M.F. (Theo), Rudan, I. (Igor), Hayward, C. (Caroline), Wright, A.F. (Alan), Polasek, O. (Ozren), Vatavuk, Z. (Zoran), Wilson, J.F. (James), Fleck, B. (Brian), Zeller, T. (Tanja), Mirshahi, A. (Alireza), Müller, C. (Christian), Uitterlinden, A.G. (André), Rivadeneira Ramirez, F. (Fernando), Vingerling, J.R. (Hans), Hofman, A. (Albert), Oostra, B.A. (Ben), Amin, N. (Najaf), Bergen, A.A.B. (Arthur), Teo, Y.Y. (Yik Ying), Rahi, J.S. (Jugnoo), Vitart, V. (Veronique), Williams, C. (Cathy), Baird, P.N. (Paul), Wong, T.Y. (Tien Yin), Oexle, K. (Konrad), Pfeiffer, A.F.H. (Andreas), Mackey, D.A. (David), Young, T.L. (Terri), Duijn, C.M. (Cornelia) van, Saw, S-M. (Seang-Mei), Bailey-Wilson, J.E. (Joan), Stambolian, D.E. (Dwight), Klaver, C.C.W. (Caroline), Hammond, C.J. (Christopher), Verhoeven, V.J.M. (Virginie), Hysi, P.G. (Pirro), Wojciechowski, R. (Robert), Fan, Q. (Qiao), Guggenheim, J. (Jean), Höhn, R. (René), MacGregor, S. (Stuart), Hewit, A.W. (Alex), Nag, A. (Abhishek), Cheng, C-Y. (Ching-Yu), Yonova-Doing, E. (Ekaterina), Zhou, X. (Xin), Ikram, M.K. (Kamran), Buitendijk, G.H.S. (Gabrielle), Mcmahon, G. (George), Kemp, J.P. (John), Pourcain, B.S. (Beate), Simpson, C.L. (Claire), Mäkelä, M.J., Lehtimäki, T. (Terho), Kähönen, M. (Mika), Paterson, A.D. (Andrew), Hosseini, M. (Mehran), Wong, H.S. (Hoi Suen), Xu, L. (Liang), Jonas, J.B., Pärssinen, O. (Olavi), Wedenoja, J. (Juho), Yip, S.P. (Shea Ping), Ho, D.W.H. (Daniel), Pang, C.P. (Chi), Chen, L.J. (Li), Burdon, K.P. (Kathryn), Craig, J.E. (Jamie), Klein, B.E.K. (Barbara), Haller, T. (Toomas), Metspalu, A. (Andres), Khor, C.C., Tai, E.S. (Shyong), Aung, T. (Tin), Vithana, E.N. (Eranga), Tay, W.-T. (Wan-Ting), Barathi, V.A. (Veluchamy), Chen, P. (Ping), Li, R. (Rui), Liao, J. (Jie), Zheng, Y. (Yuhui), Ong, R.T.H. (Rick Twee-Hee), Döring, A. (Angela), Evans, D.M. (David), Timpson, N.J. (Nicholas), Verkerk, A., Meitinger, T. (Thomas), Raitakari, O. (Olli), Hawthorne, F. (Felicia), Spector, T.D. (Timothy), Karssen, L.C. (Lennart), Pirastu, M. (Mario), Murgia, D. (Daniela), Ang, W.Q. (Wei), Mishra, A. (Aniket), Montgomery, G.W. (Grant), Pennell, C.E. (Craig), Cumberland, P. (Phillippa), Cotlarciuc, I. (Ioana), Mitchell, P. (Paul), Wang, J.J. (Jie Jin), Schache, M. (Maria), Janmahasathian, S. (Sarayut), Igo Jr., R.P. (Robert), Lass Jr., J.H. (Jonathan), Chew, E.Y. (Emily), Iyengar, S.K. (Sudha), Gorgels, T.G.M.F. (Theo), Rudan, I. (Igor), Hayward, C. (Caroline), Wright, A.F. (Alan), Polasek, O. (Ozren), Vatavuk, Z. (Zoran), Wilson, J.F. (James), Fleck, B. (Brian), Zeller, T. (Tanja), Mirshahi, A. (Alireza), Müller, C. (Christian), Uitterlinden, A.G. (André), Rivadeneira Ramirez, F. (Fernando), Vingerling, J.R. (Hans), Hofman, A. (Albert), Oostra, B.A. (Ben), Amin, N. (Najaf), Bergen, A.A.B. (Arthur), Teo, Y.Y. (Yik Ying), Rahi, J.S. (Jugnoo), Vitart, V. (Veronique), Williams, C. (Cathy), Baird, P.N. (Paul), Wong, T.Y. (Tien Yin), Oexle, K. (Konrad), Pfeiffer, A.F.H. (Andreas), Mackey, D.A. (David), Young, T.L. (Terri), Duijn, C.M. (Cornelia) van, Saw, S-M. (Seang-Mei), Bailey-Wilson, J.E. (Joan), Stambolian, D.E. (Dwight), Klaver, C.C.W. (Caroline), and Hammond, C.J. (Christopher)
Abstract: Refractive error is the most common eye disorder worldwide and is a prominent cause of blindness. Myopia affects over 30% of Western populations and up to 80% of Asians. The CREAM consortium conducted genome-wide meta-analyses, including 37,382 individuals from 27 studies of European ancestry and 8,376 from 5 Asian cohorts. We identified 16 new loci for refractive error in individuals of European ancestry, of which 8 were shared with Asians. Combined analysis identified 8 additional associated loci. The new loci include candidate genes with functions in neurotransmission (GRIA4), ion transport (KCNQ5), retinoic acid metabolism (RDH5), extracellular matrix remodeling (LAMA2 and BMP2) and eye development (SIX6 and PRSS56). We also confirmed previously reported associations with GJD2 and RASGRF1. Risk score analysis using associated SNPs showed a tenfold increased risk of myopia for individuals carrying the highest genetic load. Our results, based on a large meta-analysis across independent multiancestry studies, considerably advance understanding of the mechanisms involved in refractive error and myopia.
Published: 2013
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20. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries.

Author: 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
Published: 2022
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21. Stroke genetics informs drug discovery and risk prediction across ancestries.

Author: 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 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., (© 2022. The Author(s).)
Published: 2022
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22. Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke.

Author: Chen L, Peters JE, Prins B, Persyn E, Traylor M, Surendran P, Karthikeyan S, Yonova-Doing E, Di Angelantonio E, Roberts DJ, Watkins NA, Ouwehand WH, Danesh J, Lewis CM, Bronson PG, Markus HS, Burgess S, Butterworth AS, and Howson JMM
Subjects: Blood Proteins genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Proteome genetics, Risk Factors, Atrial Fibrillation genetics, Diabetes Mellitus, Type 2 genetics, Stroke genetics
Abstract: Stroke is the second leading cause of death with substantial unmet therapeutic needs. To identify potential stroke therapeutic targets, we estimate the causal effects of 308 plasma proteins on stroke outcomes in a two-sample Mendelian randomization framework and assess mediation effects by stroke risk factors. We find associations between genetically predicted plasma levels of six proteins and stroke (P ≤ 1.62 × 10 -4 ). The genetic associations with stroke colocalize (Posterior Probability >0.7) with the genetic associations of four proteins (TFPI, TMPRSS5, CD6, CD40). Mendelian randomization supports atrial fibrillation, body mass index, smoking, blood pressure, white matter hyperintensities and type 2 diabetes as stroke risk factors (P ≤ 0.0071). Body mass index, white matter hyperintensity and atrial fibrillation appear to mediate the TFPI, IL6RA, TMPRSS5 associations with stroke. Furthermore, thirty-six proteins are associated with one or more of these risk factors using Mendelian randomization. Our results highlight causal pathways and potential therapeutic targets for stroke., (© 2022. The Author(s).)
Published: 2022
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23. Acetyl-CoA-carboxylase 1 (ACC1) plays a critical role in glucagon secretion.

Author: Veprik A, Denwood G, Liu D, Bany Bakar R, Morfin V, McHugh K, Tebeka NN, Vetterli L, Yonova-Doing E, Gribble F, Reimann F, Hoehn KL, Hemsley PA, Ahnfelt-Rønne J, Rorsman P, Zhang Q, de Wet H, and Cantley J
Subjects: Acetyl Coenzyme A metabolism, Acetyl-CoA Carboxylase metabolism, Animals, Glucagon, Glucose metabolism, Mice, Glucagon-Secreting Cells metabolism, Insulin-Secreting Cells metabolism
Abstract: Dysregulated glucagon secretion from pancreatic alpha-cells is a key feature of type-1 and type-2 diabetes (T1D and T2D), yet our mechanistic understanding of alpha-cell function is underdeveloped relative to insulin-secreting beta-cells. Here we show that the enzyme acetyl-CoA-carboxylase 1 (ACC1), which couples glucose metabolism to lipogenesis, plays a key role in the regulation of glucagon secretion. Pharmacological inhibition of ACC1 in mouse islets or αTC9 cells impaired glucagon secretion at low glucose (1 mmol/l). Likewise, deletion of ACC1 in alpha-cells in mice reduced glucagon secretion at low glucose in isolated islets, and in response to fasting or insulin-induced hypoglycaemia in vivo. Electrophysiological recordings identified impaired K ATP channel activity and P/Q- and L-type calcium currents in alpha-cells lacking ACC1, explaining the loss of glucose-sensing. ACC-dependent alterations in S-acylation of the K ATP channel subunit, Kir6.2, were identified by acyl-biotin exchange assays. Histological analysis identified that loss of ACC1 caused a reduction in alpha-cell area of the pancreas, glucagon content and individual alpha-cell size, further impairing secretory capacity. Loss of ACC1 also reduced the release of glucagon-like peptide 1 (GLP-1) in primary gastrointestinal crypts. Together, these data reveal a role for the ACC1-coupled pathway in proglucagon-expressing nutrient-responsive endocrine cell function and systemic glucose homeostasis., (© 2022. The Author(s).)
Published: 2022
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24. Mitochondrial DNA variants modulate N-formylmethionine, proteostasis and risk of late-onset human diseases.

Author: Cai N, Gomez-Duran A, Yonova-Doing E, Kundu K, Burgess AI, Golder ZJ, Calabrese C, Bonder MJ, Camacho M, Lawson RA, Li L, Williams-Gray CH, Di Angelantonio E, Roberts DJ, Watkins NA, Ouwehand WH, Butterworth AS, Stewart ID, Pietzner M, Wareham NJ, Langenberg C, Danesh J, Walter K, Rothwell PM, Howson JMM, Stegle O, Chinnery PF, and Soranzo N
Subjects: Age of Onset, Blood Donors, Cardiovascular Diseases blood, Cardiovascular Diseases epidemiology, DNA, Mitochondrial blood, Female, Follow-Up Studies, Haplotypes genetics, Humans, Male, Middle Aged, Mitochondria pathology, N-Formylmethionine metabolism, Proteostasis, Risk Factors, United Kingdom epidemiology, Biomarkers blood, Cardiovascular Diseases genetics, DNA, Mitochondrial genetics, Mitochondria genetics
Abstract: Mitochondrial DNA (mtDNA) variants influence the risk of late-onset human diseases, but the reasons for this are poorly understood. Undertaking a hypothesis-free analysis of 5,689 blood-derived biomarkers with mtDNA variants in 16,220 healthy donors, here we show that variants defining mtDNA haplogroups Uk and H4 modulate the level of circulating N-formylmethionine (fMet), which initiates mitochondrial protein translation. In human cytoplasmic hybrid (cybrid) lines, fMet modulated both mitochondrial and cytosolic proteins on multiple levels, through transcription, post-translational modification and proteolysis by an N-degron pathway, abolishing known differences between mtDNA haplogroups. In a further 11,966 individuals, fMet levels contributed to all-cause mortality and the disease risk of several common cardiovascular disorders. Together, these findings indicate that fMet plays a key role in common age-related disease through pleiotropic effects on cell proteostasis., (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Published: 2021
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25. An atlas of mitochondrial DNA genotype-phenotype associations in the UK Biobank.

Author: Yonova-Doing E, Calabrese C, Gomez-Duran A, Schon K, Wei W, Karthikeyan S, Chinnery PF, and Howson JMM
Subjects: Alleles, Humans, United Kingdom, Biological Specimen Banks, DNA, Mitochondrial, Genes, Mitochondrial, Genetic Association Studies, Genotype, Mitochondria genetics, Phenotype
Abstract: Mitochondrial DNA (mtDNA) variation in common diseases has been underexplored, partly due to a lack of genotype calling and quality-control procedures. Developing an at-scale workflow for mtDNA variant analyses, we show correlations between nuclear and mitochondrial genomic structures within subpopulations of Great Britain and establish a UK Biobank reference atlas of mtDNA-phenotype associations. A total of 260 mtDNA-phenotype associations were new (P < 1 × 10 -5 ), including rs2853822 /m.8655 C>T (MT-ATP6) with type 2 diabetes, rs878966690 /m.13117 A>G (MT-ND5) with multiple sclerosis, 6 mtDNA associations with adult height, 24 mtDNA associations with 2 liver biomarkers and 16 mtDNA associations with parameters of renal function. Rare-variant gene-based tests implicated complex I genes modulating mean corpuscular volume and mean corpuscular hemoglobin. Seven traits had both rare and common mtDNA associations, where rare variants tended to have larger effects than common variants. Our work illustrates the value of studying mtDNA variants in common complex diseases and lays foundations for future large-scale mtDNA association studies., (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Published: 2021
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26. Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract.

Author: Yonova-Doing E, Zhao W, Igo RP Jr, Wang C, Sundaresan P, Lee KE, Jun GR, Alves AC, Chai X, Chan ASY, Lee MC, Fong A, Tan AG, Khor CC, Chew EY, Hysi PG, Fan Q, Chua J, Chung J, Liao J, Colijn JM, Burdon KP, Fritsche LG, Swift MK, Hilmy MH, Chee ML, Tedja M, Bonnemaijer PWM, Gupta P, Tan QS, Li Z, Vithana EN, Ravindran RD, Chee SP, Shi Y, Liu W, Su X, Sim X, Shen Y, Wang YX, Li H, Tham YC, Teo YY, Aung T, Small KS, Mitchell P, Jonas JB, Wong TY, Fletcher AE, Klaver CCW, Klein BEK, Wang JJ, Iyengar SK, Hammond CJ, and Cheng CY
Subjects: Alleles, Cataract diagnosis, Genetic Association Studies, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Cataract etiology, Genetic Predisposition to Disease, Genetic Variation, SOXB1 Transcription Factors genetics
Abstract: Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h 2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10 -16 ) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10 -19 ), TMPRSS5 (rs4936279, P = 2.5 × 10 -10 ), LINC01412 (rs16823886, P = 1.3 × 10 -9 ), GLTSCR1 (rs1005911, P = 9.8 × 10 -9 ), and COMMD1 (rs62149908, P = 1.2 × 10 -8 ). The results suggest a strong link of age-related nuclear cataract with congenital cataract and eye development genes, and the importance of common genetic variants in maintaining crystalline lens integrity in the aging eye.
Published: 2020
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27. Author Correction: Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke.

Author: Abraham G, Malik R, Yonova-Doing E, Salim A, Wang T, Danesh J, Butterworth AS, Howson JMM, Inouye M, and Dichgans M
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2020
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28. Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke.

Author: Abraham G, Malik R, Yonova-Doing E, Salim A, Wang T, Danesh J, Butterworth AS, Howson JMM, Inouye M, and Dichgans M
Subjects: Aged, Blood Pressure, Body Mass Index, Brain Ischemia genetics, Comorbidity, Datasets as Topic, Female, Genome-Wide Association Study, Humans, Male, Medical History Taking, Middle Aged, Polymorphism, Single Nucleotide, Predictive Value of Tests, Risk Assessment methods, Smoking epidemiology, United Kingdom epidemiology, Brain Ischemia epidemiology, Genetic Predisposition to Disease, Genomics methods
Abstract: Recent genome-wide association studies in stroke have enabled the generation of genomic risk scores (GRS) but their predictive power has been modest compared to established stroke risk factors. Here, using a meta-scoring approach, we develop a metaGRS for ischaemic stroke (IS) and analyse this score in the UK Biobank (n = 395,393; 3075 IS events by age 75). The metaGRS hazard ratio for IS (1.26, 95% CI 1.22-1.31 per metaGRS standard deviation) doubles that of a previous GRS, identifying a subset of individuals at monogenic levels of risk: the top 0.25% of metaGRS have three-fold risk of IS. The metaGRS is similarly or more predictive compared to several risk factors, such as family history, blood pressure, body mass index, and smoking. We estimate the reductions needed in modifiable risk factors for individuals with different levels of genomic risk and suggest that, for individuals with high metaGRS, achieving risk factor levels recommended by current guidelines may be insufficient to mitigate risk.
Published: 2019
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29. Early life factors for myopia in the British Twins Early Development Study.

Author: Williams KM, Kraphol E, Yonova-Doing E, Hysi PG, Plomin R, and Hammond CJ
Subjects: Adolescent, Cognition physiology, Educational Status, Female, Humans, Logistic Models, Male, Myopia etiology, Prevalence, Recreation, Refraction, Ocular, Risk Factors, Social Class, United Kingdom epidemiology, Myopia epidemiology
Abstract: Purpose: Myopia is an increasingly prevalent condition globally. A greater understanding of contemporaneous, early life factors associated with myopia risk is urgently required, particularly in younger onset myopia as this correlates with higher severity and increased complications in adult life., Methods: Analysis of a subset of the longitudinal, UK-based Twins Early Development Study (n=1991) recruited at birth between 1994 and 1996. Subjective refraction was obtained from the twin's optometrists; mean age 16.3 years (SD 1.7). Myopia was defined as mean spherical equivalent ≤-0.75 dioptres. A life course epidemiology approach was used to appropriately weight candidate myopia risk factors during critical periods of eye growth. Adjusted ORs for myopia were estimated using multivariable logistic regression models at each life stage, together with variance explained (r 2 ) and area under the receiver operator characteristic curve (AUROC) statistic of predictive models., Results: Factors significantly associated with myopia included level of maternal education (OR 1.33, 95% CI 1.11 to 1.59), fertility treatment (OR 0.63, 95% CI 0.43 to 0.92), summer birth (OR 1.93, 95% CI 1.28 to 2.90) and hours spent playing computer games (OR 1.03, 95% CI 1.01 to 1.06). The total variance explained by this model was 4.4 % (p<0.001) and the AUROC was 0.68 (95% CI 0.64 to 0.72). Consistent associations were observed with socioeconomic status, educational attainment, reading enjoyment and cognitive variables, particularly verbal cognition, at multiple points over the life course., Conclusions: This study identifies known and novel associations with myopia during childhood development; associated factors identified in early life reflect sociological and lifestyle trends such as rates of maternal education, fertility treatment, early schooling and computer games., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2019
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30. Effect of varying skin surface electrode position on electroretinogram responses recorded using a handheld stimulating and recording system.

Author: Hobby AE, Kozareva D, Yonova-Doing E, Hossain IT, Katta M, Huntjens B, Hammond CJ, Binns AM, and Mahroo OA
Subjects: Adult, Aged, Case-Control Studies, Electrodes, Electroretinography methods, Feasibility Studies, Female, Humans, Male, Middle Aged, Photic Stimulation methods, Retina physiology, Vision Tests, Electroretinography instrumentation, Eyelids physiology, Point-of-Care Systems
Abstract: Purpose: A handheld device (the RETeval system, LKC Technologies) aims to increase the ease of electroretinogram (ERG) recording by using specially designed skin electrodes, rather than corneal electrodes. We explored effects of electrode position on response parameters recorded using this device., Methods: Healthy adult twins were recruited from the TwinsUK cohort and underwent recording of light-adapted flicker ERGs (corresponding to international standard stimuli). In Group 1, skin electrodes were placed in a "comfortable" position, which was up to 20 mm below the lid margin. For subsequent participants (Group 2), the electrode was positioned 2 mm from the lid margin as recommended by the manufacturer. Amplitudes and peak times (averaged from both eyes) were compared between groups after age-matching and inclusion of only one twin per pair. Light-adapted flicker and flash ERGs were recorded for an additional 10 healthy subjects in two consecutive recording sessions: in the test eye, electrode position was varied from 2 to 10-20 mm below the lid margin between sessions; in the fellow (control) eye, the electrode was 2 mm below the lid margin throughout. Amplitudes and peak times (test eye normalised to control eye) were compared for the two sessions., Results: Including one twin per pair, and age-matching yielded 28 individuals per group. Flicker ERG amplitudes were significantly lower for Group 1 than Group 2 participants (p = 0.0024). However, mean peak times did not differ between groups (p = 0.54). For the subjects in whom electrode position was changed between recording sessions, flash and flicker amplitudes were significantly lower when positioned further from the lid margin (p < 0.005), but peak times were similar (p > 0.5)., Conclusions: Moving the skin electrodes further from the lid margin significantly reduces response amplitudes, highlighting the importance of consistent electrode positioning. However, this does not significantly affect peak times. Thus, it may be feasible to adopt a more comfortable position in participants who cannot tolerate the recommended position if analysis is restricted to peak time parameters.
Published: 2018
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31. LRP10 genetic variants in familial Parkinson's disease and dementia with Lewy bodies: a genome-wide linkage and sequencing study.

Author: Quadri M, Mandemakers W, Grochowska MM, Masius R, Geut H, Fabrizio E, Breedveld GJ, Kuipers D, Minneboo M, Vergouw LJM, Carreras Mascaro A, Yonova-Doing E, Simons E, Zhao T, Di Fonzo AB, Chang HC, Parchi P, Melis M, Correia Guedes L, Criscuolo C, Thomas A, Brouwer RWW, Heijsman D, Ingrassia AMT, Calandra Buonaura G, Rood JP, Capellari S, Rozemuller AJ, Sarchioto M, Fen Chien H, Vanacore N, Olgiati S, Wu-Chou YH, Yeh TH, Boon AJW, Hoogers SE, Ghazvini M, IJpma AS, van IJcken WFJ, Onofrj M, Barone P, Nicholl DJ, Puschmann A, De Mari M, Kievit AJ, Barbosa E, De Michele G, Majoor-Krakauer D, van Swieten JC, de Jong FJ, Ferreira JJ, Cossu G, Lu CS, Meco G, Cortelli P, van de Berg WDJ, and Bonifati V
Subjects: Brain pathology, Chromosomes, Human, Pair 14 genetics, Dementia epidemiology, Dementia etiology, Dementia genetics, Family, Female, Genetic Linkage, Genome-Wide Association Study, Heterozygote, Humans, Italy, Lewy Body Disease epidemiology, Male, Middle Aged, Parkinson Disease complications, Parkinson Disease epidemiology, Pedigree, Pluripotent Stem Cells metabolism, RNA, Messenger chemistry, RNA, Messenger genetics, LDL-Receptor Related Proteins genetics, Lewy Body Disease genetics, Parkinson Disease genetics
Abstract: Background: Most patients with Parkinson's disease, Parkinson's disease dementia, and dementia with Lewy bodies do not carry mutations in known disease-causing genes. The aim of this study was to identify a novel gene implicated in the development of these disorders., Methods: Our study was done in three stages. First, we did genome-wide linkage analysis of an Italian family with dominantly inherited Parkinson's disease to identify the disease locus. Second, we sequenced the candidate gene in an international multicentre series of unrelated probands who were diagnosed either clinically or pathologically with Parkinson's disease, Parkinson's disease dementia, or dementia with Lewy bodies. As a control, we used gene sequencing data from individuals with abdominal aortic aneurysms (who were not examined neurologically). Third, we enrolled an independent series of patients diagnosed clinically with Parkinson's disease and controls with no signs or family history of Parkinson's disease, Parkinson's disease dementia, or dementia with Lewy bodies from centres in Portugal, Sardinia, and Taiwan, and screened them for specific variants. We also did mRNA and brain pathology studies in three patients from the international multicentre series carrying disease-associated variants, and we did functional protein studies in in-vitro models, including neurons from induced pluripotent stem-like cells., Findings: Molecular studies were done between Jan 1, 2008, and Dec 31, 2017. In the initial kindred of ten affected Italian individuals (mean age of disease onset 59·8 years [SD 8·7]), we detected significant linkage of Parkinson's disease to chromosome 14 and nominated LRP10 as the disease-causing gene. Among the international series of 660 probands, we identified eight individuals (four with Parkinson's disease, two with Parkinson's disease dementia, and two with dementia with Lewy bodies) who carried different, rare, potentially pathogenic LRP10 variants; one carrier was found among 645 controls with abdominal aortic aneurysms. In the independent series, two of these eight variants were detected in three additional Parkinson's disease probands (two from Sardinia and one from Taiwan) but in none of the controls. Of the 11 probands from the international and independent cohorts with LRP10 variants, ten had a positive family history of disease and DNA was available from ten affected relatives (in seven of these families). The LRP10 variants were present in nine of these ten relatives, providing independent-albeit limited-evidence of co-segregation with disease. Post-mortem studies in three patients carrying distinct LRP10 variants showed severe Lewy body pathology. Of nine variants identified in total (one in the initial family and eight in stage 2), three severely affected LRP10 expression and mRNA stability (1424+5delG, 1424+5G→A, and Ala212Serfs*17, shown by cDNA analysis), four affected protein stability (Tyr307Asn, Gly603Arg, Arg235Cys, and Pro699Ser, shown by cycloheximide-chase experiments), and two affected protein localisation (Asn517del and Arg533Leu; shown by immunocytochemistry), pointing to loss of LRP10 function as a common pathogenic mechanism., Interpretation: Our findings implicate LRP10 gene defects in the development of inherited forms of α-synucleinopathies. Future elucidation of the function of the LRP10 protein and pathways could offer novel insights into mechanisms, biomarkers, and therapeutic targets., Funding: Stichting ParkinsonFonds, Dorpmans-Wigmans Stichting, Erasmus Medical Center, ZonMw-Memorabel programme, EU Joint Programme Neurodegenerative Disease Research (JPND), Parkinson's UK, Avtal om Läkarutbildning och Forskning (ALF) and Parkinsonfonden (Sweden), Lijf and Leven foundation, and cross-border grant of Alzheimer Netherlands-Ligue Européene Contre la Maladie d'Alzheimer (LECMA)., (Copyright © 2018 Elsevier Ltd. All rights reserved.)
Published: 2018
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32. Phenotypic and genotypic correlation between myopia and intelligence.

Author: Williams KM, Hysi PG, Yonova-Doing E, Mahroo OA, Snieder H, and Hammond CJ
Subjects: Adolescent, Female, Genome, Human, Humans, Linear Models, Male, Multifactorial Inheritance genetics, Refractive Errors, Risk Factors, Twins genetics, Genetic Association Studies, Intelligence genetics, Myopia genetics
Abstract: Myopia, or near-sightedness, is our most common eye condition and the prevalence is increasing globally. Visual impairment will occur if uncorrected, whilst high myopia causes sight-threatening complications. Myopia is associated with higher intelligence. As both are heritable, we set out to examine whether there is a genetic correlation between myopia and intelligence in over 1,500 subjects (aged 14-18 years) from a twin birth cohort. The phenotypic correlation between refractive error and intelligence was -0.116 (p < 0.01) - the inverse correlation due to the fact that myopia is a negative refractive error. Bivariate twin modeling confirmed both traits were heritable (refractive error 85%, intelligence 47%) and the genetic correlation was -0.143 (95% CI -0.013 to -0.273). Of the small phenotypic correlation the majority (78%) was explained by genetic factors. Polygenic risk scores were constructed based on common genetic variants identified in previous genome-wide association studies of refractive error and intelligence. Genetic variants for intelligence and refractive error explain some of the reciprocal variance, suggesting genetic pleiotropy; in the best-fit model the polygenic score for intelligence explained 0.99% (p = 0.008) of refractive error variance. These novel findings indicate shared genetic factors contribute significantly to the covariance between myopia and intelligence.
Published: 2017
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33. New insights into the genetics of primary open-angle glaucoma based on meta-analyses of intraocular pressure and optic disc characteristics.

Author: Springelkamp H, Iglesias AI, Mishra A, Höhn R, Wojciechowski R, Khawaja AP, Nag A, Wang YX, Wang JJ, Cuellar-Partida G, Gibson J, Bailey JN, Vithana EN, Gharahkhani P, Boutin T, Ramdas WD, Zeller T, Luben RN, Yonova-Doing E, Viswanathan AC, Yazar S, Cree AJ, Haines JL, Koh JY, Souzeau E, Wilson JF, Amin N, Müller C, Venturini C, Kearns LS, Kang JH, Tham YC, Zhou T, van Leeuwen EM, Nickels S, Sanfilippo P, Liao J, van der Linde H, Zhao W, van Koolwijk LM, Zheng L, Rivadeneira F, Baskaran M, van der Lee SJ, Perera S, de Jong PT, Oostra BA, Uitterlinden AG, Fan Q, Hofman A, Tai ES, Vingerling JR, Sim X, Wolfs RC, Teo YY, Lemij HG, Khor CC, Willemsen R, Lackner KJ, Aung T, Jansonius NM, Montgomery G, Wild PS, Young TL, Burdon KP, Hysi PG, Pasquale LR, Wong TY, Klaver CC, Hewitt AW, Jonas JB, Mitchell P, Lotery AJ, Foster PJ, Vitart V, Pfeiffer N, Craig JE, Mackey DA, Hammond CJ, Wiggs JL, Cheng CY, van Duijn CM, and MacGregor S
Subjects: Female, Genome, Human, Genome-Wide Association Study, Glaucoma, Open-Angle pathology, Humans, Intraocular Pressure genetics, Male, Middle Aged, Optic Disk pathology, Optic Nerve Diseases pathology, Tonometry, Ocular, Cyclin-Dependent Kinase Inhibitor p21 genetics, Glaucoma, Open-Angle genetics, Homeodomain Proteins genetics, Optic Nerve Diseases genetics, Zebrafish Proteins genetics
Abstract: Primary open-angle glaucoma (POAG), the most common optic neuropathy, is a heritable disease. Siblings of POAG cases have a ten-fold increased risk of developing the disease. Intraocular pressure (IOP) and optic nerve head characteristics are used clinically to predict POAG risk. We conducted a genome-wide association meta-analysis of IOP and optic disc parameters and validated our findings in multiple sets of POAG cases and controls. Using imputation to the 1000 genomes (1000G) reference set, we identified 9 new genomic regions associated with vertical cup-disc ratio (VCDR) and 1 new region associated with IOP. Additionally, we found 5 novel loci for optic nerve cup area and 6 for disc area. Previously it was assumed that genetic variation influenced POAG either through IOP or via changes to the optic nerve head; here we present evidence that some genomic regions affect both IOP and the disc parameters. We characterized the effect of the novel loci through pathway analysis and found that pathways involved are not entirely distinct as assumed so far. Further, we identified a novel association between CDKN1A and POAG. Using a zebrafish model we show that six6b (associated with POAG and optic nerve head variation) alters the expression of cdkn1a. In summary, we have identified several novel genes influencing the major clinical risk predictors of POAG and showed that genetic variation in CDKN1A is important in POAG risk., (© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Published: 2017
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34. Genetic and Environmental Factors Associated With the Ganglion Cell Complex in a Healthy Aging British Cohort.

Author: Bloch E, Yonova-Doing E, Jones-Odeh E, Williams KM, Kozareva D, and Hammond CJ
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Female, Follow-Up Studies, Glaucoma diagnosis, Glaucoma genetics, Humans, Male, Middle Aged, Nerve Fibers pathology, Risk Factors, United Kingdom epidemiology, Young Adult, Diseases in Twins, Environmental Exposure, Genetic Predisposition to Disease, Glaucoma etiology, Retinal Ganglion Cells pathology, Tomography, Optical Coherence methods, Twins
Abstract: Importance: Measurement of ganglion cell complex (GCC) thickness may be more sensitive than current methods for glaucoma diagnosis and research. However, little is known about the factors influencing GCC thickness in the general population., Objectives: To investigate the heritability of and factors associated with GCC thickness in a healthy aging population., Design, Setting, and Participants: A cross-sectional twin study was conducted from August 27, 2014, to March 31, 2016, among 1657 participants of white British ancestry from the TwinsUK study cohort without ocular pathologic conditions. Heritability analyses were conducted in 1432 twins (426 monozygous and 290 dizygous pairs). Association analyses were performed using univariable and multivariable stepwise linear regression models, taking family structure into account. Heritability analyses were conducted using maximum likelihood structural equation twin modeling., Main Outcomes and Measures: Parameters measured included GCC thickness, autorefraction, intraocular pressure, blood pressure, body mass index, and cholesterol, creatinine, glucose, insulin, triglycerides, and urea levels. Estimated glomerular filtration rate was calculated using the Modification of Diet in Renal Disease formula., Results: Among the 1657 participants (mean [SD] age, 56.0 [15.3] years; 89.5% women and 10.5% men), the mean [SD] inner GCC thickness was 96.0 [7.6] μm (95% CI, 95.1-96.2). In multivariable modeling, the mean inner GCC thickness was associated with advancing age (β, -0.14; P < .001), increased body mass index (β, -0.15; P = .001), spherical equivalent (β, 0.70; P < .001), and higher estimated glomerular filtration rate (β, 0.03; P = .02). A 1-U increase in age or body mass index was associated with a 0.14-µm and 0.15-µm decrease in GCC thickness, respectively (P < .001), while a 1-U increase in spherical equivalent or estimated glomerular filtration rate was associated with a 0.70-µm (P < .001) and 0.03-µm (P = .02) increase in GCC thickness, respectively. Ganglion cell complex thickness was not associated with sex, intraocular pressure, or diabetes. Age-adjusted GCC thickness was highly heritable, with additive genetic effects explaining 81% (95% CI, 78%-84%) of phenotypic variance and individual environmental factors explaining the remaining 19% (95% CI, 16%-22%)., Conclusions and Relevance: Ganglion cell complex thickness appears to be highly heritable and further genetic analysis may help identify new biological pathways for glaucoma. The results suggest it may be important to account for age, body mass index, refractive error, and sex when using GCC thickness as a diagnostic tool. Replication of their results is required, as is further research to explain the association between renal function and GCC thickness.
Published: 2017
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35. Do twins share the same dress code? Quantifying relative genetic and environmental contributions to subjective perceptions of "the dress" in a classical twin study.

Author: Mahroo OA, Williams KM, Hossain IT, Yonova-Doing E, Kozareva D, Yusuf A, Sheriff I, Oomerjee M, Soorma T, and Hammond CJ
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Child, Female, Humans, Male, Middle Aged, Registries, United Kingdom, White People, Clothing, Color Perception genetics, Gene-Environment Interaction, Twins, Dizygotic genetics, Twins, Monozygotic genetics
Abstract: The phenomenon of contrasting color perceptions of "the dress" photograph has gained scientific interest. The mechanism underlying why individuals differ is yet to be fully explained. We use the powerful twin model design to ascertain the relative contribution of genetic and environmental factors on perception variation. A sample of 466 twins from the British TwinsUK registry were invited to report what color they saw in a standard image of the dress in standard illumination. The mean age of the participants was 49.5 (SD = 17.8) years, and 85% were female. When asked to choose between white and gold (WG) or blue and black (BB), 328 reported WG (70.4%) and 135 (29.0%) reported BB. Subjects choosing WG were significantly older (p < 0.01), but there was no significant difference in gender. Monozygotic (MZ) twins were more concordant in their responses than dizygotic (DZ) twins (0.46 vs. 0.36). Twin modeling revealed that genetic factors accounted for 34% (95% confidence interval, 5%-59%) of variation in the reported color of the dress when adjusted for age, whereas environmental factors contributed 66% (95% CI, 41%-95%). This study suggests environmental factors play a significant role in how an individual perceives the color of "the dress."
Published: 2017
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36. The correlation between cognitive performance and retinal nerve fibre layer thickness is largely explained by genetic factors.

Author: Jones-Odeh E, Yonova-Doing E, Bloch E, Williams KM, Steves CJ, and Hammond CJ
Abstract: Retinal nerve fibre layer (RNFL) thickness has been associated with cognitive function but it is unclear whether RNFL thinning is secondary to cortical loss, or if the same disease process affects both. We explored whether there is phenotypic sharing between RNFL thickness and cognitive traits, and whether such sharing is due to genetic factors. Detailed eye and cognitive examination were performed on 1602 twins (mean age: 56.4 years; range: 18-89) from the TwinsUK cohort. Associations between RNFL thickness and ophthalmic, cognitive and other predictors were assessed using linear regression or analysis of variance models. Heritability analyses were performed using uni- and bivariate Cholesky decomposition models. RNFL was thinner with increase in myopia and with decrease in disc area (p < 0.001). A thicker RNFL was associated with better performance on mini mental state examination (MMSE, F(5,883) = 5.8, p < 0.001), and with faster reaction time (RT, β = -0.01; p = 0.01); independent of the effects of age, refractive error and disc area (p < 0.05). RNFL thickness was highly heritable (82%) but there was low phenotypic sharing between RNFL thickness and MMSE (5%, 95% CI: 0-10%) or RT (7%, 95% CI: 1-12%). This sharing, however, was mostly due to additive genetic effects (67% and 92% of the shared variance respectively).
Published: 2016
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37. Re: Datiles et al.: Longitudinal study of age-related cataract using dynamic light scattering: loss of α-crystallin leads to nuclear cataract development (Ophthalmology 2016;123:248-54).

Author: Yonova-Doing E and Hammond CJ
Subjects: Cataract, Humans, Lens, Crystalline, Light, Longitudinal Studies, Dynamic Light Scattering, alpha-Crystallins
Published: 2016
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38. Genetic and Dietary Factors Influencing the Progression of Nuclear Cataract.

Author: Yonova-Doing E, Forkin ZA, Hysi PG, Williams KM, Spector TD, Gilbert CE, and Hammond CJ
Subjects: Aged, Aged, 80 and over, Cataract diagnosis, Cataract genetics, Cross-Sectional Studies, Diet Surveys, Disease Progression, Feeding Behavior, Female, Genetic Predisposition to Disease, Humans, Middle Aged, Prospective Studies, White People genetics, Cataract congenital, Diet, Diseases in Twins genetics, Quantitative Trait, Heritable, Twins, Dizygotic genetics, Twins, Monozygotic genetics
Abstract: Purpose: To determine the heritability of nuclear cataract progression and to explore prospectively the effect of dietary micronutrients on the progression of nuclear cataract., Design: Prospective cohort study., Participants: Cross-sectional nuclear cataract and dietary measurements were available for 2054 white female twins from the TwinsUK cohort. Follow-up cataract measurements were available for 324 of the twins (151 monozygotic and 173 dizygotic twins)., Methods: Nuclear cataract was measured using a quantitative measure of nuclear density obtained from digital Scheimpflug images. Dietary data were available from EPIC food frequency questionnaires. Heritability was modeled using maximum likelihood structural equation twin modeling. Association between nuclear cataract change and micronutrients was investigated using linear and multinomial regression analysis. The mean interval between baseline and follow-up examination was 9.4 years., Main Outcome Measures: Nuclear cataract progression., Results: The best-fitting model estimated that the heritability of nuclear cataract progression was 35% (95% confidence interval [CI], 13-54), and individual environmental factors explained the remaining 65% (95% CI, 46-87) of variance. Dietary vitamin C was protective against both nuclear cataract at baseline and nuclear cataract progression (β = -0.0002, P = 0.01 and β = -0.001, P = 0.03, respectively), whereas manganese and intake of micronutrient supplements were protective against nuclear cataract at baseline only (β = -0.009, P = 0.03 and β = -0.03, P = 0.01, respectively)., Conclusions: Genetic factors explained 35% of the variation in progression of nuclear cataract over a 10-year period. Environmental factors accounted for the remaining variance, and in particular, dietary vitamin C protected against cataract progression assessed approximately 10 years after baseline., (Copyright © 2016 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)
Published: 2016
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39. Genome-wide association study for refractive astigmatism reveals genetic co-determination with spherical equivalent refractive error: the CREAM consortium.

Author: Li Q, Wojciechowski R, Simpson CL, Hysi PG, Verhoeven VJ, Ikram MK, Höhn R, Vitart V, Hewitt AW, Oexle K, Mäkelä KM, MacGregor S, Pirastu M, Fan Q, Cheng CY, St Pourcain B, McMahon G, Kemp JP, Northstone K, Rahi JS, Cumberland PM, Martin NG, Sanfilippo PG, Lu Y, Wang YX, Hayward C, Polašek O, Campbell H, Bencic G, Wright AF, Wedenoja J, Zeller T, Schillert A, Mirshahi A, Lackner K, Yip SP, Yap MK, Ried JS, Gieger C, Murgia F, Wilson JF, Fleck B, Yazar S, Vingerling JR, Hofman A, Uitterlinden A, Rivadeneira F, Amin N, Karssen L, Oostra BA, Zhou X, Teo YY, Tai ES, Vithana E, Barathi V, Zheng Y, Siantar RG, Neelam K, Shin Y, Lam J, Yonova-Doing E, Venturini C, Hosseini SM, Wong HS, Lehtimäki T, Kähönen M, Raitakari O, Timpson NJ, Evans DM, Khor CC, Aung T, Young TL, Mitchell P, Klein B, van Duijn CM, Meitinger T, Jonas JB, Baird PN, Mackey DA, Wong TY, Saw SM, Pärssinen O, Stambolian D, Hammond CJ, Klaver CC, Williams C, Paterson AD, Bailey-Wilson JE, and Guggenheim JA
Subjects: Adult, Age Factors, Asian People, Astigmatism pathology, Calcium-Binding Proteins, Cohort Studies, Female, Genetic Markers, Humans, Male, Middle Aged, Neural Cell Adhesion Molecules, White People, Astigmatism genetics, Cell Adhesion Molecules, Neuronal genetics, Genome-Wide Association Study, High Mobility Group Proteins genetics, Nerve Tissue Proteins genetics
Abstract: To identify genetic variants associated with refractive astigmatism in the general population, meta-analyses of genome-wide association studies were performed for: White Europeans aged at least 25 years (20 cohorts, N = 31,968); Asian subjects aged at least 25 years (7 cohorts, N = 9,295); White Europeans aged <25 years (4 cohorts, N = 5,640); and all independent individuals from the above three samples combined with a sample of Chinese subjects aged <25 years (N = 45,931). Participants were classified as cases with refractive astigmatism if the average cylinder power in their two eyes was at least 1.00 diopter and as controls otherwise. Genome-wide association analysis was carried out for each cohort separately using logistic regression. Meta-analysis was conducted using a fixed effects model. In the older European group the most strongly associated marker was downstream of the neurexin-1 (NRXN1) gene (rs1401327, P = 3.92E-8). No other region reached genome-wide significance, and association signals were lower for the younger European group and Asian group. In the meta-analysis of all cohorts, no marker reached genome-wide significance: The most strongly associated regions were, NRXN1 (rs1401327, P = 2.93E-07), TOX (rs7823467, P = 3.47E-07) and LINC00340 (rs12212674, P = 1.49E-06). For 34 markers identified in prior GWAS for spherical equivalent refractive error, the beta coefficients for genotype versus spherical equivalent, and genotype versus refractive astigmatism, were highly correlated (r = -0.59, P = 2.10E-04). This work revealed no consistent or strong genetic signals for refractive astigmatism; however, the TOX gene region previously identified in GWAS for spherical equivalent refractive error was the second most strongly associated region. Analysis of additional markers provided evidence supporting widespread genetic co-susceptibility for spherical and astigmatic refractive errors.
Published: 2015
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40. Candidate gene study of macular response to supplemental lutein and zeaxanthin.

Author: Yonova-Doing E, Hysi PG, Venturini C, Williams KM, Nag A, Beatty S, Liew SH, Gilbert CE, and Hammond CJ
Subjects: ATP Binding Cassette Transporter 1 genetics, Adult, Chromatography, High Pressure Liquid, Delta-5 Fatty Acid Desaturase, Dietary Supplements, Fatty Acid Desaturases genetics, Female, Genetic Variation, Genotype, Humans, Lutein blood, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies, Retinal Pigments metabolism, Scavenger Receptors, Class B genetics, Xanthophylls blood, Young Adult, Zeaxanthins, cis-trans-Isomerases genetics, Lutein administration & dosage, Quantitative Trait, Heritable, Retinal Pigments genetics, Twins, Dizygotic genetics, Twins, Monozygotic genetics, Xanthophylls administration & dosage
Abstract: Supplementation with carotenoids is proposed to protect against age-related macular degeneration. There is, however, considerable variability in retinal macular pigment response, which may be due to underlying genetic variation. The purpose of this study was to determine whether genetic factors, which have been previously associated with cross-sectional macular pigment levels in the retina or serum lutein, also influence response to supplementation. To this end we conducted an association study in 310 subjects from the TwinsUK cohort between variants in 8 candidate genes and serum lutein and retinal macular pigment optical density (MPOD) levels before and after supplementation. Four variants were associated with MPOD response to supplementation (p < 0.05): rs11057841 (SCARB1), rs4926339 (RPE65), rs1929841 (ABCA1) and rs174534 (FADS1). We also confirmed previous associations between rs6564851 near BMCO1 (p < 0.001) and rs11057841 within SCARB1 (p = 0.01) and baseline measures of serum lutein; while the latter was also associated with MPOD response, none of the BMCO1 variants were. Finally, there was evidence for association between variants near RPE65 and ELOVL2 and changes in lutein concentration after supplementation. This study is the first to show association between genetic variants and response to carotenoids supplementation. Our findings suggest an important link between MP response and the biological processes of carotenoids transport and fatty acid metabolism., (Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2013
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41. Nine loci for ocular axial length identified through genome-wide association studies, including shared loci with refractive error.

Author: Cheng CY, Schache M, Ikram MK, Young TL, Guggenheim JA, Vitart V, MacGregor S, Verhoeven VJ, Barathi VA, Liao J, Hysi PG, Bailey-Wilson JE, St Pourcain B, Kemp JP, McMahon G, Timpson NJ, Evans DM, Montgomery GW, Mishra A, Wang YX, Wang JJ, Rochtchina E, Polasek O, Wright AF, Amin N, van Leeuwen EM, Wilson JF, Pennell CE, van Duijn CM, de Jong PT, Vingerling JR, Zhou X, Chen P, Li R, Tay WT, Zheng Y, Chew M, Burdon KP, Craig JE, Iyengar SK, Igo RP Jr, Lass JH Jr, Chew EY, Haller T, Mihailov E, Metspalu A, Wedenoja J, Simpson CL, Wojciechowski R, Höhn R, Mirshahi A, Zeller T, Pfeiffer N, Lackner KJ, Bettecken T, Meitinger T, Oexle K, Pirastu M, Portas L, Nag A, Williams KM, Yonova-Doing E, Klein R, Klein BE, Hosseini SM, Paterson AD, Makela KM, Lehtimaki T, Kahonen M, Raitakari O, Yoshimura N, Matsuda F, Chen LJ, Pang CP, Yip SP, Yap MK, Meguro A, Mizuki N, Inoko H, Foster PJ, Zhao JH, Vithana E, Tai ES, Fan Q, Xu L, Campbell H, Fleck B, Rudan I, Aung T, Hofman A, Uitterlinden AG, Bencic G, Khor CC, Forward H, Pärssinen O, Mitchell P, Rivadeneira F, Hewitt AW, Williams C, Oostra BA, Teo YY, Hammond CJ, Stambolian D, Mackey DA, Klaver CC, Wong TY, Saw SM, and Baird PN
Subjects: Adolescent, Adult, Aged, Asian People, Axial Length, Eye pathology, Eye Proteins metabolism, Female, Gene Expression, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Refractive Errors ethnology, Refractive Errors pathology, Signal Transduction, White People, Axial Length, Eye metabolism, Eye Proteins genetics, Genetic Loci, Genetic Predisposition to Disease, Refractive Errors genetics
Abstract: Refractive errors are common eye disorders of public health importance worldwide. Ocular axial length (AL) is the major determinant of refraction and thus of myopia and hyperopia. We conducted a meta-analysis of genome-wide association studies for AL, combining 12,531 Europeans and 8,216 Asians. We identified eight genome-wide significant loci for AL (RSPO1, C3orf26, LAMA2, GJD2, ZNRF3, CD55, MIP, and ALPPL2) and confirmed one previously reported AL locus (ZC3H11B). Of the nine loci, five (LAMA2, GJD2, CD55, ALPPL2, and ZC3H11B) were associated with refraction in 18 independent cohorts (n = 23,591). Differential gene expression was observed for these loci in minus-lens-induced myopia mouse experiments and human ocular tissues. Two of the AL genes, RSPO1 and ZNRF3, are involved in Wnt signaling, a pathway playing a major role in the regulation of eyeball size. This study provides evidence of shared genes between AL and refraction, but importantly also suggests that these traits may have unique pathways., (Copyright © 2013 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2013
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42. Investigation of genetic variation in scavenger receptor class B, member 1 (SCARB1) and association with serum carotenoids.

Author: McKay GJ, Loane E, Nolan JM, Patterson CC, Meyers KJ, Mares JA, Yonova-Doing E, Hammond CJ, Beatty S, and Silvestri G
Subjects: Adult, Aged, Chromatography, High Pressure Liquid, Cross-Sectional Studies, Female, Genotyping Techniques, Humans, Lipoproteins blood, Lutein genetics, Male, Middle Aged, Photometry, Polymorphism, Single Nucleotide, Retina metabolism, Visual Acuity, Xanthophylls genetics, Young Adult, Zeaxanthins, Genetic Variation, Lutein blood, Scavenger Receptors, Class B genetics, Xanthophylls blood
Abstract: Objective: To investigate association of scavenger receptor class B, member 1 (SCARB1) genetic variants with serum carotenoid levels of lutein (L) and zeaxanthin (Z) and macular pigment optical density (MPOD)., Design: A cross-sectional study of healthy adults aged 20 to 70., Participants: We recruited 302 participants after local advertisement., Methods: We measured MPOD by customized heterochromatic flicker photometry. Fasting blood samples were taken for serum L and Z measurement by high-performance liquid chromatography and lipoprotein analysis by spectrophotometric assay. Forty-seven single nucleotide polymorphisms (SNPs) across SCARB1 were genotyped using Sequenom technology. Association analyses were performed using PLINK to compare allele and haplotype means, with adjustment for potential confounding and correction for multiple comparisons by permutation testing. Replication analysis was performed in the TwinsUK and Carotenoids in Age-Related Eye Disease Study (CAREDS) cohorts., Main Outcome Measures: Odds ratios for MPOD area, serum L and Z concentrations associated with genetic variations in SCARB1 and interactions between SCARB1 and gender., Results: After multiple regression analysis with adjustment for age, body mass index, gender, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, smoking, and dietary L and Z levels, 5 SNPs were significantly associated with serum L concentration and 1 SNP with MPOD (P<0.01). Only the association between rs11057841 and serum L withstood correction for multiple comparisons by permutation testing (P<0.01) and replicated in the TwinsUK cohort (P = 0.014). Independent replication was also observed in the CAREDS cohort with rs10846744 (P = 2×10(-4)), an SNP in high linkage disequilibrium with rs11057841 (r(2) = 0.93). No interactions by gender were found. Haplotype analysis revealed no stronger association than obtained with single SNP analyses., Conclusions: Our study has identified association between rs11057841 and serum L concentration (24% increase per T allele) in healthy subjects, independent of potential confounding factors. Our data supports further evaluation of the role for SCARB1 in the transport of macular pigment and the possible modulation of age-related macular degeneration risk through combating the effects of oxidative stress within the retina., Financial Disclosure(s): Proprietary or commercial disclosures may be found after the references., (Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)
Published: 2013
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43. Age of myopia onset in a British population-based twin cohort.

Author: Williams KM, Hysi PG, Nag A, Yonova-Doing E, Venturini C, and Hammond CJ
Subjects: Adolescent, Adult, Age of Onset, Aged, Child, Child, Preschool, Cohort Studies, Female, Humans, Infant, Male, Middle Aged, Prevalence, United Kingdom epidemiology, Young Adult, Diseases in Twins epidemiology, Myopia epidemiology
Abstract: Purpose: School-age myopia is becoming more common in Asia and North America; data from the United Kingdom has suggested a significant amount of myopia develops after the age of 17 years. Age of spectacle wear has been used as a proxy of myopia severity in a recent large genome-wide association study. The purpose of this study was to examine the age of onset of spectacle wear in a large British twin cohort, to examine the reliability and reproducibility of self-reported age of onset as a proxy measure of myopia severity, and to see if there is evidence in the UK of a rising prevalence of myopia., Methods: Non-cycloplegic autorefraction was performed on over 6000 subjects from the Twins UK cohort, a large, well-characterized volunteer cohort of British, predominantly Caucasian female twins, between 1998 and 2010. Questionnaires asking age of first spectacle wear were conducted in 2003 and 2008. Myopia was defined as worse than or equal to -1.00 Dioptres, and adult onset myopia as occurring on or after the age of 17 years., Results: Autorefractive data was available on 6097 participants at a mean age of 53 years. The mean S.E. was -0.36 D (S.D. 2.67, range -25.13 to +9.38). 1705 subjects (28%) were myopic with a mean refractive error of -3.54 (S.D. 2.51, range -25.13 to -1.00) and the median age of first glasses wear was 15 years (mean 18.4 years, S.D. 12.24, range 0-74). Of those who provided an age at which they first wore glasses in both questionnaire sources (n = 628), there was median difference in response of 0 years (S.D. 7.18, mean 0.7, maximum 53). A statistically significant cohort effect for increased myopia prevalence across a range of age groups between 1998-1999 and 2008-2010 was identified, with myopia prevalence increasing from 27% to 34% in those aged 50-54 and from 16% to 32% in those aged 55-59., Conclusions: Almost half the myopes in this UK-based population wore glasses after the age of 17; further research into adult-onset myopia is required. Although self-reported age of glasses is reproducible and reflects severity, it only explains approximately 15% of the variance of spherical equivalent, so is a rough proxy of refractive error, but still may be useful in large-scale population studies without access to refraction. We have demonstrated a significant cohort effect for increased myopia prevalence in the UK population over a 10-year period., (Ophthalmic & Physiological Optics © 2013 The College of Optometrists.)
Published: 2013
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44. Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia.

Author: Verhoeven VJ, Hysi PG, Wojciechowski R, Fan Q, Guggenheim JA, Höhn R, MacGregor S, Hewitt AW, Nag A, Cheng CY, Yonova-Doing E, Zhou X, Ikram MK, Buitendijk GH, McMahon G, Kemp JP, Pourcain BS, Simpson CL, Mäkelä KM, Lehtimäki T, Kähönen M, Paterson AD, Hosseini SM, Wong HS, Xu L, Jonas JB, Pärssinen O, Wedenoja J, Yip SP, Ho DW, Pang CP, Chen LJ, Burdon KP, Craig JE, Klein BE, Klein R, Haller T, Metspalu A, Khor CC, Tai ES, Aung T, Vithana E, Tay WT, Barathi VA, Chen P, Li R, Liao J, Zheng Y, Ong RT, Döring A, Evans DM, Timpson NJ, Verkerk AJ, Meitinger T, Raitakari O, Hawthorne F, Spector TD, Karssen LC, Pirastu M, Murgia F, Ang W, Mishra A, Montgomery GW, Pennell CE, Cumberland PM, Cotlarciuc I, Mitchell P, Wang JJ, Schache M, Janmahasatian S, Igo RP Jr, Lass JH, Chew E, Iyengar SK, Gorgels TG, Rudan I, Hayward C, Wright AF, Polasek O, Vatavuk Z, Wilson JF, Fleck B, Zeller T, Mirshahi A, Müller C, Uitterlinden AG, Rivadeneira F, Vingerling JR, Hofman A, Oostra BA, Amin N, Bergen AA, Teo YY, Rahi JS, Vitart V, Williams C, Baird PN, Wong TY, Oexle K, Pfeiffer N, Mackey DA, Young TL, van Duijn CM, Saw SM, Bailey-Wilson JE, Stambolian D, Klaver CC, and Hammond CJ
Subjects: Alcohol Oxidoreductases genetics, Asian People genetics, Bone Morphogenetic Protein 2 genetics, Genetic Predisposition to Disease, Homeodomain Proteins genetics, Humans, KCNQ Potassium Channels genetics, Laminin genetics, Receptors, AMPA genetics, Risk Factors, Serine Proteases genetics, Trans-Activators genetics, White People genetics, Genome-Wide Association Study, Myopia genetics, Refractive Errors genetics
Abstract: Refractive error is the most common eye disorder worldwide and is a prominent cause of blindness. Myopia affects over 30% of Western populations and up to 80% of Asians. The CREAM consortium conducted genome-wide meta-analyses, including 37,382 individuals from 27 studies of European ancestry and 8,376 from 5 Asian cohorts. We identified 16 new loci for refractive error in individuals of European ancestry, of which 8 were shared with Asians. Combined analysis identified 8 additional associated loci. The new loci include candidate genes with functions in neurotransmission (GRIA4), ion transport (KCNQ5), retinoic acid metabolism (RDH5), extracellular matrix remodeling (LAMA2 and BMP2) and eye development (SIX6 and PRSS56). We also confirmed previously reported associations with GJD2 and RASGRF1. Risk score analysis using associated SNPs showed a tenfold increased risk of myopia for individuals carrying the highest genetic load. Our results, based on a large meta-analysis across independent multiancestry studies, considerably advance understanding of the mechanisms involved in refractive error and myopia.
Published: 2013
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45. Analysis of LRRK2, SNCA, Parkin, PINK1, and DJ-1 in Zambian patients with Parkinson's disease.

Author: Yonova-Doing E, Atadzhanov M, Quadri M, Kelly P, Shawa N, Musonda ST, Simons EJ, Breedveld GJ, Oostra BA, and Bonifati V
Subjects: Adult, DNA Mutational Analysis, Family Health, Female, Humans, Leucine-Rich Repeat Serine-Threonine Protein Kinase-2, Male, Middle Aged, Protein Deglycase DJ-1, Zambia epidemiology, Genetic Predisposition to Disease genetics, Intracellular Signaling Peptides and Proteins genetics, Mutation genetics, Oncogene Proteins genetics, Parkinson Disease genetics, Protein Kinases genetics, Protein Serine-Threonine Kinases genetics, Ubiquitin-Protein Ligases genetics, alpha-Synuclein genetics
Abstract: Recent studies delineate substantial genetic components in Parkinson's disease (PD). However, very few studies were performed in Sub-Saharan African populations. Here, we explore the contribution of known PD-causing genes in patients of indigenous Zambian ancestry. We studied thirty-nine Zambian patients, thirty-eight with PD and one with parkinsonian-pyramidal syndrome (18% familial; average onset age 54.9 ± 12.2 years). In the whole group, all SNCA exons and LRRK2 exons 29 to 48 (encoding for important functional domains) were sequenced. In the familial patients and those with onset <55 years (n = 22) the whole LRRK2 coding region was sequenced (51 exons). In the patients with onset <50 years (n = 12), all parkin, PINK1, and DJ-1 exons were sequenced, and dosage analysis of parkin, PINK1, DJ-1, LRRK2, and SNCA was performed. Dosage analysis was also performed in the majority of the late-onset patients. The LRRK2 p.Gly2019Ser mutation was not detected. A novel LRRK2 missense variant (p.Ala1464Gly) of possible pathogenic role was found in one case. Two heterozygous, likely disease-causing deletions of parkin (exon 2 and exon 4) were detected in an early-onset case. Pathogenic mutations were not detected in SNCA, PINK1, or DJ-1. We also report variability at several single nucleotide polymorphisms in the above-mentioned genes. This is the first molecular genetic study in Zambian PD patients, and the first comprehensive analysis of the LRRK2 and SNCA genes in a Sub-Saharan population. Common disease-causing mutations were not detected, suggesting that further investigations in PD patients from these populations might unravel the role of additional, still unknown genes., (Copyright © 2012 Elsevier Ltd. All rights reserved.)
Published: 2012
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