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1. A novel Alzheimer disease locus located near the gene encoding tau protein.

Author: Jun, G, Ibrahim-Verbaas, CA, Vronskaya, M, Lambert, J-C, Chung, J, Naj, AC, Kunkle, BW, Wang, L-S, Bis, JC, Bellenguez, C, Harold, D, Lunetta, KL, Destefano, AL, Grenier-Boley, B, Sims, R, Beecham, GW, Smith, AV, Chouraki, V, Hamilton-Nelson, KL, Ikram, MA, Fievet, N, Denning, N, Martin, ER, Schmidt, H, Kamatani, Y, Dunstan, ML, Valladares, O, Laza, AR, Zelenika, D, Ramirez, A, Foroud, TM, Choi, S-H, Boland, A, Becker, T, Kukull, WA, van der Lee, SJ, Pasquier, F, Cruchaga, C, Beekly, D, Fitzpatrick, AL, Hanon, O, Gill, M, Barber, R, Gudnason, V, Campion, D, Love, S, Bennett, DA, Amin, N, Berr, C, Tsolaki, Magda, Buxbaum, JD, Lopez, OL, Deramecourt, V, Fox, NC, Cantwell, LB, Tárraga, L, Dufouil, C, Hardy, J, Crane, PK, Eiriksdottir, G, Hannequin, D, Clarke, R, Evans, D, Mosley, TH, Letenneur, L, Brayne, C, Maier, W, De Jager, P, Emilsson, V, Dartigues, J-F, Hampel, H, Kamboh, MI, de Bruijn, RFAG, Tzourio, C, Pastor, P, Larson, EB, Rotter, JI, O'Donovan, MC, Montine, TJ, Nalls, MA, Mead, S, Reiman, EM, Jonsson, PV, Holmes, C, St George-Hyslop, PH, Boada, M, Passmore, P, Wendland, JR, Schmidt, R, Morgan, K, Winslow, AR, Powell, JF, Carasquillo, M, Younkin, SG, Jakobsdóttir, J, Kauwe, JSK, Wilhelmsen, KC, Rujescu, D, Nöthen, MM, and Hofman, A
Subjects: IGAP Consortium, Chromosomes, Human, Pair 17, Humans, Alzheimer Disease, tau Proteins, Polymorphism, Single Nucleotide, Apolipoprotein E4, Genome-Wide Association Study, Alzheimer's Disease, Prevention, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Human Genome, Neurodegenerative, Neurosciences, Acquired Cognitive Impairment, Genetics, Brain Disorders, Aging, 2.1 Biological and endogenous factors, Neurological, Psychiatry, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract: APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer's Project (IGAP) Consortium in APOE ɛ4+ (10 352 cases and 9207 controls) and APOE ɛ4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ɛ4 status. Suggestive associations (P
Published: 2016

2. Model comparison from LIGO–Virgo data on GW170817's binary components and consequences for the merger remnant

Author: Abbott, Bp, Abbott, R, Abbott, Td, Abraham, S, Acernese, F, Ackley, K, Adams, C, Adya, Vb, Affeldt, C, Agathos, M, Agatsuma, K, Aggarwal, N, Aguiar, Od, Aiello, L, Ain, A, Ajith, P, Allen, G, Allocca, A, Aloy, Ma, Altin, Pa, Amato, A, Anand, S, Ananyeva, A, Anderson, Sb, Anderson, Wg, Angelova, Sv, Antier, S, Appert, S, Arai, K, Araya, Mc, Areeda, Js, Arène, M, Arnaud, N, Aronson, Sm, Arun, Kg, Ascenzi, Sp, Ashton, G, Aston, Sm, Astone, Pa, Aubin, F, Aufmuth, Pj, Aultoneal, K, Austin, C, Avendano, V, Avila-Alvarez, A, Babak, S, Bacon, P, Badaracco, F, Bader, Mkm, Bae, Sa, Baird, J, Baker, Pta, Baldaccini, An, F, Ballardin, G, Ballmer, Sw, Bals, A, Banagiri, Sa, Barayoga, Jc, Barbieri, Ar, C, Barclay, Se, Barish, Bc, Barker, D, Barkett, Ka, Barnum, S, Barone, Fe, Barr, B, Barsotti, L, Barsuglia, M, Barta, Da, Bartlett, J, Bartos, I, Bassiri, R, Basti, A, Bawaj, Ao, M, Bayley, Jc, Bazzan, M, Bécsy, B, Bejger, Mz, Belahcene, I, Bell, As, Beniwal, D, Benjamin, Mg, Berger, Bk, Bergmann, G, Bernuzzi, S, Berry, Cpl, Bersanetti, D, Bertolini, A, Betzwieser, J, Bhandare, R, Bidler, J, Biggs, E, Bilenko, Ia, Bilgili, Saa, Billingsley, G, Birney, R, Birnholtz, O, Biscans, S, Bischi, Bk, M, Biscoveanu, S, Bisht, Aj, Bitossi, M, Bizouard, Ma, Blackburn, Jk, Blackman, Ja, Blair, Cd, Blair, Dg, Blair, Rm, Bloemen, Sb, Bobba, Bp, F, Bode, N, Boer, M, Boetzel, Y, Bogaert, G, Bondu, Fb, Bonnand, R, Booker, P, Boom, Ba, Bork, R, Boschi, V, Bose, S, Bossilkov, V, Bosveld, J, Bouffanais, Y, Bozzi, A, Bradaschia, Cu, Brady, Pr, Bramley, A, Branchesi, M, Brau, Jeb, Breschi, M, Briant, T, Briggs, Jh, Brighenti, Bk, F, Brillet, A, Brinkmann, M, Brockill, P, Brooks, Af, Brooks, J, Brown, Dd, Brunett, S, Buikema, A, Bulik, Tb, Bulten, H. J., A, Buonanno, B, Bx, A, Buskulic, D, Buy, C, Byer, Rl, Cabero, M, Cadonati, L, Cagnoli, Gc, Cahillane, C, Calderón Bustillo, J, Callister, Ta, Calloni, Ee, Camp, Jb, Campbell, Wa, Canepa, Bg, M, Cannon, Kc, Cao, H, Cao, J, Carapella, Bp, G, Carbognani, F, Caride, Sc, Carney, Mf, Carullo, G, Casanueva Diaz, Ju, Casentini, Af, C, Caudill, S, Cavaglià, Ci, M, Cavalier, F, Cavalieri, R, Cella, Gu, Cerdá-Durán, P, Cesarini, Af, E, Chaibi, O, Chakravarti, K, Chamberlin, Sjc, Chan, M, Chao, Sc, Charlton, Pc, Chase, Ea, Chassande-Mottin, E, Chatterjee, D, Chaturvedi, M, Chatziioannou, Kc, Cheeseboro, Bda, Chen, Hy, Chen, X, Chen, Ya, Cheng, H, Cheong, Ck, Chia, Hy, Chiadini, Bq, F, Chincarini, A, Chiummo, A, Cho, Gc, Cho, Hs, Cho, Mb, Christensen, Bm, N, Chu, Q, Chua, S, Chung, Kw, Chung, S, Ciani, G, Cieślar, Mb, Ciobanu, Aa, Ciolfi, Bb, R, Cipriano, F, Cirone, Bg, A, Clara, F, Clark, Ja, Clearwater, Pc, Cleva, F, Coccia, E, Cohadon, P, Cohen, D, Colleoni, M, Collette, Cgc, Collins, C, Colpi, Ar, M, Cominsky, Lrc, Constancio, M, Conti, Lb, Cooper, Sj, Corban, P, Corbitt, Tr, Cordero-Carrión, Id, Corezzi, An, S, Corley, Kr, Cornish, N, Corre, D, Corsi, Ac, Cortese, S, Costa, Ca, Cotesta, R, Coughlin, Mw, Coughlin, S. B., B, Coulon, J, Countryman, St, Couvares, P, Covas, Pb, Cowan, Ee, Coward, Dm, Cowart, Mj, Coyne, Dc, Coyne, Rd, Creighton, Jde, Creighton, Td, Cripe, J, Croquette, M, Crowder, Sg, Cullen, Tj, Cumming, A, Cunningham, L, Cuoco, E, Dal Canton, T, Dálya, G, D'Angelo, Bg, B, Danilishin, Sl, D'Antonio, Sa, Danzmann, K, Dasgupta, A, Da Silva Costa, Cf, Datrier, Leh, Dattilo, V, Dave, I, Davier, M, Davis, D, Daw, Ej, Debra, D, Deenadayalan, M, Degallaix, J, De Laurentis, M, Deléglise, S, Del Pozzo, W, Demarchi, Lm, Demos, N, Dent, Td, De Pietri, R, De Rosa, R, De Rossi, C, Desalvo, R, De Varona, O, Dhurandhar, S, Díaz, Mc, Dietrich, T, Di Fiore, L, Difronzo, C, Di Giorgio, C, Di Giovanni, F, Di Giovanni, M, Di Girolamo, T, Di Lieto, A, Ding, B, Di Pace, S, Di Palma, I, Di Renzo, F, Divakarla, Ak, Dmitriev, A, Doctor, Z, Donovan, F, Dooley, K. L., C, Doravari, S, Dorrington, I, Downes, Tp, Drago, M, Driggers, Jc, Du, Z, Ducoin, J, Dupej, P, Durante, Bp, O, Dwyer, Se, Easter, Pj, Eddolls, G, Edo, Tb, Effler, A, Ehrens, P, Eichholz, J, Eikenberry, Ss, Eisenmann, M, Eisenstein, Ra, Errico, Le, Essick, Rc, Estelles, H, Estevez, D, Etienne, Zba, Etzel, T, Evans, M, Evans, Tm, Fafone, V, Fairhurst, S, Fan, X, Farinon, S, Farr, B, Farr, Wm, Fauchon-Jones, Ej, Favata, M, Fays, M, Fazio, Md, Fee, C, Feicht, J, Fejer, Mm, Feng, F, Fernandez-Galiana, A, Ferrante, I, Ferreira, Ec, Ferreira, Ta, Fidecaro, F, Fiori, I, Fiorucci, D, Fishbach, M, Fisher, Rp, Fishner, Jm, Fittipaldi, Fitz-Axen, Ma, Fiumara, Bq, V, Flaminio, R, Fletcher, M, Floden, Ea, Flynn, E, Fong, H, Font, Jav, Forsyth, Pwf, Fournier, J, Frasca, S, Frasconi, Fu, Frei, Z, Freise, A, Frey, Rb, Frey, V, Fritschel, P, Frolov, Vv, Fronzè, Gd, Fulda, P, Fyffe, M, Gabbard, Ha, Gadre, Bu, Gaebel, Sm, Gair, Jrd, Gammaitoni, La, Gaonkar, Sg, García-Quirós, C, Garufi, F, Gateley, B, Gaudio, S, Gaur, Gd, Gayathri, Ve, Gemme, G, Genin, E, Gennai, Au, George, D, George, J, Gergely, Le, Ghonge, S, Ghosh, A, Ghosh, S, Giacomazzo, Dn, B, Giaime, D, J. A. b., G, Giardina, Kd, Gibson, Dr, Gill, K, Glover, L, Gniesmer, Je, Godwin, Pc, Goetz, E, Goetz, R, Goncharov, B, González, G, Gonzalez Castro, Jm, Gopakumar, A, Gossan, Se, Gosselin, M, Gouaty, R, Grace, B, Grado, A, Granata, M, Grant, A, Gras, S, Grassia, P, Gray, C, Gray, R, Greco, G, Green, Ac, Green, R, Gretarsson, Em, Grimaldi, Dn, A, Grimm, Sj, Groot, Pb, Grote, H, Grunewald, S, Gruning, P, Guidi, G. M., B, Gulati, Hk, Guo, Y, Gupta, Ac, Gupta, A, Gupta, P, Gustafson, Ek, Gustafson, Re, Haegel, L, Halim, O, Hall, Bre, Hall, Ed, Hamilton, Ez, Hammond, G, Haney, M, Hanke, Mm, Hanks, J, Hanna, Cc, Hannam, Md, Hannuksela, Oa, Hansen, Tj, Hanson, J, Harder, T, Hardwick, T, Haris, K, Harms, J, Harry, Gme, Harry, Iw, Hasskew, Rk, Haster, Cj, Haughian, K, Hayes, Fj, Healy, J, Heidmann, A, Heintze, Mc, Heitmann, H, Hellman, Fe, Hello, P, Hemming, G, Hendry, M, Heng, Is, Hennig, J, Hernandez Vivanco, F, Heurs, M, Hild, S, Hinderer, Ak, T, Em, E, W. C. G. eo, H, Hochheim, S, Hofman, D, Holgado, Am, Holland, Na, Holt, K, Holz, De, Hopkins, P, Horst, C, Hough, J, Howell, Ej, Hoy, Cg, Huang, Y, Hübner, Mt, Huerta, Ea, Huet, D, Hughey, B, Hui, V, Husa, S, Huttner, Sh, Huynh-Dinh, T, Idzkowski, Bb, Iess, Af, A, Inchauspe, H, Ingram, C, Inta, Rc, Intini, G, Irwin, B, Isa, Hn, Isac, J, Isi, M, Iyer, Br, Jacqmin, T, Jadhav, Sj, Jani, K, Janthalur, Nn, Jaranowski, Pe, Jariwala, D, Jenkins, Ac, Jiang, J, Johnson, Ds, Jones, Aw, Jones, Die, Jones, Jd, Jones, R, Jonker, Rjg, Ju, L, Junker, J, Kalaghatgi, Cv, Kalogera, V, Kamai, B, Kandhasamy, S, Kang, Ga, Kanner, Jb, Kapadia, Sj, Karki, Sb, Kashyap, R, Kasprzack, M, Kastaun, W, Katsanevas, S, Katsavounidis, E, Katzman, W, Kaufer, Sj, Kawabe, K, Keerthana, Nv, Kéfélian, F, Keitel, D, Kennedy, R, Key, Jse, Khalili, Fy, Khan, Ip, Khan, S, Khazanov, Eae, Khetan, N, Khursheed, M, Kijbunchoo, N, Kim, Ce, Kim, Jce, Kim, K, Kim, W, Kim, Ws, Kim, Y-e, Kimball, C, King, Pj, Kinley-Hanlon, M, Kirchhoff, R, Kissel, Js, Kleybolte, Le, Klika, Jh, Klimenko, S, Knowles, Tda, Koch, P, Koehlenbeck, Sm, Koekoek, Ak, G, Koley, S, Kondrashov, V, Kontos, Af, Koper, N, Korobko, Me, Korth, Wz, Kovalam, M, Kozak, Db, Krämer, C, Kringel, V, Krishnendu, N, Królak, Fb, A, Krupinski, N, Kuehn, G, Kumar, A, Kumar, P, Kumar, R, Kuo, Lc, Kutynia, Af, Kwang, S, Lackey, Bd, Laghi, D, Lai, Kh, Lam, Tl, Landry, M, Landry, P, Lane, Bb, Lang, Rnf, Lange, J, Lantz, B, Lanza, Rk, Lartaux-Vollard, A, Lasky, Pd, Laxen, M, Lazzarini, A, Lazzaro, Cb, Leaci, P, Leavey, S, Lecoeuche, Yk, Lee, Ch, Lee, Hkf, Lee, Hmf, Lee, Hwe, Lee, Jc, Lee, K, Lehmann, J, Lenon, Aka, Leroy, N, Letendre, N, Levin, Y, Li, A, Li, J, K. J. L, L, T. G. F, L, X. av, L, Lin, F, Linde, Ak, F, Linker, Sd, Littenberg, Tbf, Liu, J, Liu, X, Llorens-Monteagudo, M, R. K. L, L, London, Lt, Longo, Fj, A, Lorenzini, M, Loriette, V, Lormand, M, Losurdo, Gu, Lough, Jd, Lousto, Co, Lovelace, G, Lower, Mef, Lück, H, Lumaca, Af, D, Lundgren, Ap, Lynch, R, Y. av, M, Macas, R, Macfoy, S, Macinnis, M, Macleod, Dm, Macquet, A, Magana Hernandez, I, Magana-Sandoval, F, Magee, Rmc, Majorana, Ea, Maksimovic, I, Malik, A, Man, N, Mandic, Va, Mangano, Ag, V, At, D, Mansell, Gln, Manske, M, Mantovani, M, Mapelli, M, Marchesoni, Ao, F, Marion, F, Márka, S, Márka, Z, Markakis, C, Markosyan, As, Markowitz, A, Maros, E, Marquina, Ad, Marsat, S, Martelli, Martin, Iw, Martin, Rm, Martinez, Vc, Martynov, Dv, Masalehdan, He, Mason, K, Massera, E, Masserot, A, Massinger, Tj, Masso-Reid, M, Mastrogiovanni, S, Matas, A, Matichard, F, Matone, L, Mavalvala, N, Mccann, Jj, Mccarthy, R, Mcclelland, De, Mccormick, S, Mcculler, L, Mcguire, Sc, Mcisaac, C, Mciver, J, Mcmanus, Dj, Mcrae, T, Mcwilliams, Sta, Meacher, D, Meadors, Gd, Mehmet, M, Mehta, Ak, Meidam, J, Mejuto, V, Bq, E, Melatos, Ac, Mendell, G, Mercer, Ra, Mereni, L, Merfeld, Kb, Merilh, El, Merzougui, M, Meshkov, S, Messenger, C, Messick, Cc, Messina, Ar, F, Metzdorff, R, Meyers, Pmc, Meylahn, F, Miani, Miao, H, Michel, C, Middleton, Hc, Milano, L, Miller, A. L., A, Ag, D, Millhouse, Mc, Mills, Jc, Milovich-Goff, Mc, Minazzoli, Bm, O, Minenkov, Ya, Mishkin, A, Mishra, C, Mistry, T, Mitra, S, Mitrofanov, Vp, Mitselmakher, G, Mittleman, R, G. cu, M, Moffa, D, Mogushi, Kc, Mohapatra, Srp, Molina-Ruiz, Me, Mondin, M, Montani, Moore, Cj, Moraru, D, Morawski, Fb, Moreno, G, Morisaki, S, Mours, B, Mow-Lowry, Cm, Muciaccia, F, Mukherjee, A, Mukherjee, D, Mukherjee, S, Mukund, Nc, I, J, Mullavey, A, Munch, J, Muniz, Ea, Muratore, M, Murray, Pg, Nagar, Ck, A, Dx, F, Nardecchia, Af, I, Naticchioni, L, Nayak, Rkf, Neil, Bf, Neilson, J, Nelemans, Nelson, Tjn, Nery, M, Neunzert, Ae, Nevin, L, K. Y, N, Ng, S, Nguyen, C, Nguyen, Pb, Nichols, Ak, D, Nichols, Sa, Nissanke, Ak, S, Nocera, F, North, C, Nuttall, Lk, Obergaulinger, Mv, Oberling, J, O'Brien, Bd, Oganesyan, G, Ogin, Ghf, J. J, O, S. H, O, Ohme, F, Ohta, H, Okada, Ma, Oliver, M, Oppermann, P, Oram, Rj, O'Reilly, B, Ormiston, Rga, Ortega, Lf, O'Shaughnessy, R, Ossokine, S, Ottaway, Dj, Overmier, H, Owen, Bjc, Pace, Aec, Pagano, G, Page, Ma, Pagliaroli, G, Pai, Ae, Pai, Sa, Palamos, Jrb, Palashov, Oe, Palomba, Ca, Pan, Hc, Panda, Pk, Pang, P. T. H., A, Pankow, C, Pannarale, F, Pant, Bc, Paoletti, Fu, Paoli, A, Parida, A, Parker, Wg, Pascucci, F, Pasqualetti, A, Passaquieti, R, Passuello, Du, Patil, Mf, Patricelli, B, Payne, E, Pearlstone, Bl, Pechsiri, Tc, Pedersen, Aj, Pedraza, M, Pedurand, Rw, Pele, A, Penn, Sf, Perego, Perez, Cj, Périgois, C, Perreca, Petermann, Je, Pfeiffer, Hp, Phelps, M, Phukon, Ks, Piccinni, Oj, Pichot, M, Piergiovanni, Pierro, B, Pillant, G, Pinard, L, Pinto, Im, Pirello, M, Pitkin, M, Plastino, Fj, W, Poggiani, R, Pong, Dyt, Ponrathnam, S, Popolizio, P, Porter, Ek, Powell, Jf, Prajapati, Ak, Prasad, J, Prasai, K, Prasanna, R, Pratten, G, Prestegard, T, Principe, Bq, M, Ck, D, Prodi, G. A., D, Prokhorov, L, Punturo, Ma, Puppo, Pa, Pürrer, M, Qi, H, Quetschke, V, Quinonez, Pj, Raab, Fj, Raaijmakers, Radkins, H, Radulesco, N, Raffai, P, Raja, S, Rajan, C, Rajbhandari, Bc, Rakhmanov, M, Ramirez, Ke, Ramos-Buades, A, Rana, J, Rao, K, Rapagnani, P, Raymond, V, Razzano, M, Read, J, Regimbau, T, Rei, L, Reid, S, Reitze, Dha, Rettegno, A, Dx, P, Ricci, F, Richardson, Cj, Richardson, Jw, Ricker, Pm, Riemenschneider, Dx, G, Riles, Ke, Rizzo, M, Robertson, Naa, Robinet, F, Rocchi, Aa, Rolland, L, Rollins, Jg, Roma, Vjb, Romanelli, Mb, Romano, R, Romel, Cl, Romie, Jh, Rose, Ca, Rose, D, Rose, K, Rosińska, Db, Rosofsky, Sg, Ross, Mpf, Rowan, S, Rüdiger, A, Ruggi, P, Rutins, G, Ryan, K, Sachdev, Sc, Sadecki, T, Sakellariadou, M, Salafia, O. S., A, As, F, Salconi, L, Saleem, M, Samajdar, A, Sammut, L, Sanchez, Ej, Sanchez, Le, Sanchis-Gual, Nf, Sanders, Jrg, Santiago, Ka, Santos, E, Sarin, N, Sassolas, B, Sathyaprakash, B. S., C, Sauter, D, Ah, O, Savage, Rl, Schale, Pb, Scheel, Ma, Scheuer, J, Schmidt, Pm, Schnabel, Re, Schofield, Rmsb, Schönbeck, Ae, Schreiber, E, Schulte, Bw, Schutz, Bf, Scott, J, Scott, Sm, Seidel, E, Sellers, D, Sengupta, Asg, Sennett, N, Sentenac, D, Sequino, V, Sergeev, Ae, Setyawati, Y, Shaddock, Da, Shaffer, T, Shahriar, Ms, Shaner, Mb, Sharma, A, Sharma, P, Shawhan, Pb, Shen, H, Shink, Rg, Shoemaker, Dh, Shoemaker, Dm, Shukla, Ke, Shyamsundar, S, Siellez, K, Sieniawska, Mb, Sigg, D, Singer, Lp, Singh, Dc, Singh, Nb, Singhal, Ap, Sintes, Am, Sitmukhambetov, S, Skliris, V, Slagmolen, Bjj, Slaven-Blair, Tj, Smith, Jr, Smith, Rje, Somala, S, Son, Ej, Soni, S, Sorazu, B, Sorrentino, F, Souradeep, T, Sowell, Ec, Spencer, Ap, Spera, M, Srivastava, Ak, Srivastava, V, Staats, K, Stachie, C, Standke, M, Steer, Da, Steinke, M, Steinlechner, J, Steinlechner, Se, Steinmeyer, D, Stevenson, Spf, Stocks, D, Stone, R, Stops, Dj, Strain, Ka, Stratta, Bl, G, Strigin, Se, Strunk, A, Sturani, Rg, Stuver, Alg, Sudhir, V, Summerscales, Tzg, Sun, L, Sunil, S, Sur, Ab, Suresh, J, Sutton, Pj, Swinkels, Bl, Szczepańczyk, Mj, Tacca, M, Tait, Sc, Talbot, C, Tanner, Db, Tao, D, Tápai, Me, Tapia, A, Tasson, Jdc, Taylor, R, Tenorio, R, Terkowski, Le, Thomas, M, Thomas, P, Thondapu, Sr, Thorne, Ka, Thrane, E, Tiwari, S, Tiwari, V, Toland, K, Tonelli, M, Tornasi, Z, Torres-Forné, Ag, Torrie, Ci, Töyrä, D, Travasso, Ac, F, Traylor, G, Tringali, Mcb, Tripathee, Ae, Trovato, A, Trozzo, Lu, Tsang, Kw, Tse, M, Tso, Ra, Tsukada, L, Tsuna, D, Tsutsui, T, Tuyenbayev, D, Ueno, K, Ugolini, Dg, Unnikrishnan, Cs, Urban, Al, Usman, Sa, Vahlbruch, Hj, Vajente, G, Valdes, G, Valentini, Dn, M, Van Bakel, N, Van Beuzekom, M, Van Den Brand, Jfj, Van Den Broeck, Ak, C, Van Der-Hyde, Dc, Van Der Schaaf, L, Van Heijningen, Jv, Van Veggel, Aa, Vardaro, M, Varma, Va, Vass, S, Vasúth, Ma, Vecchio, A, Vedovato, Gb, Veitch, J, Veitch, Pj, Venkateswara, Kf, Venugopalan, G, Verkindt, D, Vetrano, Viceré, B, Bk, A, Viets, Ad, Vinciguerra, S, Vine, Dj, Vinet, J, Vitale, S, Vo, T, Vocca, An, H, Vorvick, C, Vyatchanin, Sp, Wade, Ar, Wade, Le, Wade, M, Walet, R, Walker, M, Wallace, L, Walsh, S, Wang, H, Wang, Jze, Wang, S, Wang, Wh, Wang, Yf, Ward, Rl, Warden, Za, Warner, J, Was, M, Watchi, Jc, Weaver, B, Wei, L, Weinert, M, Weinstein, Aj, Weiss, R, Wellmann, F, Wen, L, Wessel, Ek, Weßels, P, Westhouse, Jw, Wette, K, Whelan, Jt, Whiting, Bf, Whittle, C, Wilken, Dm, Williams, D, Williamson, A. R., A, Willis, Jl, Willke, B, Winkler, W, Wipf, Cc, Wittel, H, Woan, G, Woehler, J, Wofford, Jk, Wright, Jl, D. S, W, Wysocki, Dm, Xiao, S, Xu, R, Yamamoto, H, Yancey, Ccb, Yang, Ld, Yang, Y, Yang, Za, Yap, Mj, Yazback, M, Yeeles, Dw, Yu, H, Yuen, Shr, Zadrozny, Ak, Zadrozny, Af, Zanolin, M, Zappa, F, Zelenova, T, Zendri, J-b, Zevin, M, Zhang, J, Zhang, L, Zhang, T, Zhao, C, Zhao, Gc, Zhou, M, Zhou, Z, Zhu, Xj, Zimmerman, Abg, Zlochower, Y, Zucker, Me, Zweizig, J, UCL - SST/IRMP - Institut de recherche en mathématique et physique, The LIGO Scientific Collaboration, The Virgo Collaboration, Laboratoire des matériaux avancés (LMA), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et 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Errico, L, Essick, Rc, Estelles, H, Estevez, D, Etienne, Zb, Etzel, T, Evans, M, Evans, Tm, Fafone, V, Fairhurst, S, Fan, X, Farinon, S, Farr, B, Farr, Wm, Fauchon-Jones, Ej, Favata, M, Fays, M, Fazio, M, Fee, C, Feicht, J, Fejer, Mm, Feng, F, Fernandez-Galiana, A, Ferrante, I, Ferreira, Ec, Ferreira, Ta, Fidecaro, F, Fiori, I, Fiorucci, D, Fishbach, M, Fisher, Rp, Fishner, Jm, Fittipaldi, R, Fitz-Axen, M, Fiumara, V, Flaminio, R, Fletcher, M, Floden, E, Flynn, E, Fong, H, Font, Ja, Forsyth, Pwf, Fournier, Jd, Frasca, S, Frasconi, F, Frei, Z, Freise, A, Frey, R, Frey, V, Fritschel, P, Frolov, Vv, Fronze, G, Fulda, P, Fyffe, M, Gabbard, Ha, Gadre, Bu, Gaebel, Sm, Gair, Jr, Gammaitoni, L, Gaonkar, Sg, Garcia-Quiros, C, Garufi, F, Gateley, B, Gaudio, S, Gaur, G, Gayathri, V, Gemme, G, Genin, E, Gennai, A, George, D, George, J, Gergely, L, Ghonge, S, Ghosh, A, Ghosh, S, Giacomazzo, B, Giaime, Ja, Giardina, Kd, Gibson, Dr, Gill, K, Glover, L, Gniesmer, J, Godwin, P, Goetz, E, Goetz, R, Goncharov, B, Gonzalez, G, Castro, Jmg, Gopakumar, A, Gossan, Se, Gosselin, M, Gouaty, R, Grace, B, Grado, A, Granata, M, Grant, A, Gras, S, Grassia, P, Gray, C, Gray, R, Greco, G, Green, Ac, Green, R, Gretarsson, Em, Grimaldi, A, Grimm, Sj, Groot, P, Grote, H, Grunewald, S, Gruning, P, Guidi, Gm, Gulati, Hk, Guo, Y, Gupta, A, Gupta, P, Gustafson, Ek, Gustafson, R, Haegel, L, Halim, O, Hall, Br, Hall, Ed, Hamilton, Ez, Hammond, G, Haney, M, Hanke, Mm, Hanks, J, Hanna, C, Hannam, Md, Hannuksela, Oa, Hansen, Tj, Hanson, J, Harder, T, Hardwick, T, Haris, K, Harms, J, Harry, Gm, Harry, Iw, Hasskew, Rk, Haster, Cj, Haughian, K, Hayes, Fj, Healy, J, Heidmann, A, Heintze, Mc, Heitmann, H, Hellman, F, Hello, P, Hemming, G, Hendry, M, Heng, I, Hennig, J, Vivanco, Fh, Heurs, M, Hild, S, Hinderer, T, Ho, Wcg, Hochheim, S, Hofman, D, Holgado, Am, Holland, Na, Holt, K, Holz, De, Hopkins, P, Horst, C, Hough, J, Howell, Ej, Hoy, Cg, Huang, Y, Hubner, Mt, Huerta, Ea, Huet, D, Hughey, B, Hui, V, Husa, S, Huttner, Sh, Huynh-Dinh, T, Idzkowski, B, Iess, A, Inchauspe, H, Ingram, C, Inta, R, Intini, G, Irwin, B, Isa, Hn, Isac, Jm, Isi, M, Iyer, Br, Jacqmin, T, Jadhav, Sj, Jani, K, Janthalur, Nn, Jaranowski, P, Jariwala, D, Jenkins, Ac, Jiang, J, Johnson, D, Jones, Aw, Jones, Di, Jones, Jd, Jones, R, Jonker, Rjg, Ju, L, Junker, J, Kalaghatgi, Cv, Kalogera, V, Kamai, B, Kandhasamy, S, Kang, G, Kanner, Jb, Kapadia, Sj, Karki, S, Kashyap, R, Kasprzack, M, Kastaun, W, Katsanevas, S, Katsavounidis, E, Katzman, W, Kaufer, S, Kawabe, K, Keerthana, Nv, Kefelian, F, Keitel, D, Kennedy, R, Key, J, Khalili, Fy, Khan, I, Khan, S, Khazanov, Ea, Khetan, N, Khursheed, M, Kijbunchoo, N, Kim, C, Kim, Jc, Kim, K, Kim, W, Kim, Ym, Kimball, C, King, Pj, Kinley-Hanlon, M, Kirchhoff, R, Kissel, J, Kleybolte, L, Klika, Jh, Klimenko, S, Knowles, Td, Koch, P, Koehlenbeck, Sm, Koekoek, G, Koley, S, Kondrashov, V, Kontos, A, Koper, N, Korobko, M, Korth, Wz, Kovalam, M, Kozak, Db, Kramer, C, Kringel, V, Krishnendu, 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Markakis, C, Markosyan, A, Markowitz, A, Maros, E, Marquina, A, Marsat, S, Martelli, F, Martin, Iw, Martin, Rm, Martinez, V, Martynov, Dv, Masalehdan, H, Mason, K, Massera, E, Masserot, A, Massinger, Tj, Masso-Reid, M, Mastrogiovanni, S, Matas, A, Matichard, F, Matone, L, Mavalvala, N, Mccann, Jj, Mccarthy, R, Mcclelland, De, Mccormick, S, Mcculler, L, Mcguire, Sc, Mcisaac, C, Mciver, J, Mcmanus, Dj, Mcrae, T, Mcwilliams, St, Meacher, D, Meadors, Gd, Mehmet, M, Mehta, Ak, Meidam, J, Villa, Em, Melatos, A, Mendell, G, Mercer, Ra, Mereni, L, Merfeld, K, Merilh, El, Merzougui, M, Meshkov, S, Messenger, C, Messick, C, Messina, F, Metzdorff, R, Meyers, Pm, Meylahn, F, Miani, A, Miao, H, Michel, C, Middleton, H, Milano, L, Miller, Al, Millhouse, M, Mills, Jc, Milovich-Goff, Mc, Minazzoli, O, Minenkov, Y, Mishkin, A, Mishra, C, Mistry, T, Mitra, S, Mitrofanov, Vp, Mitselmakher, G, Mittleman, R, Mo, G, Moffa, D, Mogushi, K, Mohapatra, Srp, Molina-Ruiz, M, Mondin, M, Montani, M, Moore, Cj, Moraru, D, Morawski, F, Moreno, G, Morisaki, S, Mours, B, Mow-Lowry, Cm, Muciaccia, F, Mukherjee, A, Mukherjee, D, Mukherjee, S, Mukund, N, Mullavey, A, Munch, J, Muniz, Ea, Muratore, M, Murray, Pg, Nagar, A, Nardecchia, I, Naticchioni, L, Nayak, Rk, Neil, Bf, Neilson, J, Nelemans, G, Nelson, Tjn, Nery, M, Neunzert, A, Nevin, L, Ng, Ky, Ng, S, Nguyen, C, Nguyen, P, Nichols, D, Nichols, Sa, Nissanke, S, Nocera, F, North, C, Nuttall, Lk, Obergaulinger, M, Oberling, J, O'Brien, Bd, Oganesyan, G, Ogin, Gh, Oh, Jj, Oh, Sh, Ohme, F, Ohta, H, Okada, Ma, Oliver, M, Oppermann, P, Oram, Rj, O'Reilly, B, Ormiston, Rg, Ortega, Lf, O'Shaughnessy, R, Ossokine, S, Ottaway, Dj, Overmier, H, Owen, Bj, Pace, Ae, Pagano, G, Page, Ma, Pagliaroli, G, Pai, A, Pai, Sa, Palamos, Jr, Palashov, O, Palomba, C, Pan, H, Panda, Pk, Pang, Pth, Pankow, C, Pannarale, F, Pant, Bc, Paoletti, F, Paoli, A, Parida, A, Parker, W, Pascucci, D, Pasqualetti, A, Passaquieti, R, Passuello, D, Patil, M, Patricelli, B, Payne, E, Pearlstone, Bl, Pechsiri, Tc, Pedersen, Aj, Pedraza, M, Pedurand, R, Pele, A, Penn, S, Perego, A, Perez, Cj, Perigois, C, Perreca, A, Petermann, J, Pfeiffer, Hp, Phelps, M, Phukon, K, Piccinni, Oj, Pichot, M, Piergiovanni, F, Pierro, V, Pillant, G, Pinard, L, Pinto, Im, Pirello, M, Pitkin, M, Plastino, W, Poggiani, R, Pong, Dyt, Ponrathnam, S, Popolizio, P, Porter, Ek, Powell, J, Prajapati, Ak, Prasad, J, Prasai, K, Prasanna, R, Pratten, G, Prestegard, T, Principe, M, Prodi, Ga, Prokhorov, L, Punturo, M, Puppo, P, Purrer, M, Qi, H, Quetschke, V, Quinonez, Pj, Raab, Fj, Raaijmakers, G, Radkins, H, Radulesco, N, Raffai, P, Raja, S, Rajan, C, Rajbhandari, B, Rakhmanov, M, Ramirez, Ke, Ramos-Buades, A, Rana, J, Rao, K, Rapagnani, P, Raymond, V, Razzano, M, Read, J, Regimbau, T, Rei, L, Reid, S, Reitze, Dh, Rettegno, P, Ricci, F, Richardson, Cj, Richardson, Jw, Ricker, Pm, Riemenschneider, G, Riles, K, Rizzo, M, Robertson, Na, Robinet, F, Rocchi, A, Rolland, L, Rollins, Jg, Roma, Vj, Romanelli, M, Romano, R, Romel, Cl, Romie, Jh, Rose, Ca, Rose, D, Rose, K, Rosinska, D, Rosofsky, Sg, Ross, Mp, Rowan, S, Rudiger, A, Ruggi, P, Rutins, G, Ryan, K, Sachdev, S, Sadecki, T, Sakellariadou, M, Salafia, O, Salconi, L, Saleem, M, Samajdar, A, Sammut, L, Sanchez, Ej, Sanchez, Le, Sanchis-Gual, N, Sanders, Jr, Santiago, Ka, Santos, E, Sarin, N, Sassolas, B, Sathyaprakash, B, Sauter, O, Savage, Rl, Schale, P, Scheel, M, Scheuer, J, Schmidt, P, Schonabel, R, Schofield, Rm, Schnbeck, A, Schreiber, E, Schulte, Bw, Schutz, Bf, Scott, J, Scott, Sm, Seidel, E, Sellers, D, Sengupta, A, Sennett, N, Sentenac, D, Sequino, V, Sergeev, A, Setyawati, Y, Shaddock, Da, Shaffer, T, Shahriar, M, Shaner, Mb, Sharma, A, Sharma, P, Shawhan, P, Shen, H, Shink, R, Shoemaker, Dh, Shoemaker, Dm, Shukla, K, Shyamsundar, S, Siellez, K, Sieniawska, M, Sigg, D, Singer, Lp, Singh, D, Singh, N, Singhal, A, Sintes, Am, Sitmukhambetov, S, Skliris, V, Slagmolen, Bjj, Slaven-Blair, Tj, Smith, Jr, Smith, Rje, Somala, S, Son, Ej, Soni, S, Sorazu, B, Sorrentino, F, Souradeep, T, Sowell, E, Spencer, Ap, Spera, M, Srivastava, Ak, Srivastava, V, Staats, K, Stachie, C, Standke, M, Steer, Da, Steinke, M, Steinlechner, J, Steinlechner, S, Steinmeyer, D, Stevenson, Sp, Stocks, D, Stone, R, Stops, Dj, Strain, Ka, Stratta, G, Strigin, Se, Strunk, A, Sturani, R, Stuver, Al, Sudhir, V, Summerscales, Tz, Sun, L, Sunil, S, Sur, A, Suresh, J, Sutton, Pj, Swinkels, Bl, Szczepanczyk, Mj, Tacca, M, Tait, Sc, Talbot, C, Tanner, Db, Tao, D, Tapai, M, Tapia, A, Tasson, Jd, Taylor, R, Tenorio, R, Terkowski, L, Thomas, M, Thomas, P, Thondapu, Sr, Thorne, Ka, Thrane, E, Tiwari, S, Tiwari, V, Toland, K, Tonelli, M, Tornasi, Z, Torres-Forne, A, Torrie, Ci, Toyra, D, Travasso, F, Traylor, G, Tringali, Mc, Tripathee, A, Trovato, A, Trozzo, L, Tsang, Kw, Tse, M, Tso, R, Tsukada, L, Tsuna, D, Tsutsui, T, Tuyenbayev, D, Ueno, K, Ugolini, D, Unnikrishnan, C, Urban, Al, Usman, Sa, Vahlbruch, H, Vajente, G, Valdes, G, Valentini, M, van Bakel, N, van Beuzekom, M, van den Brand, Jfj, Van Den Broeck, C, Van Der-Hyde, Dc, van Der Schaaf, L, Van Heijningen, Jv, van Veggel, Aa, Vardaro, M, Varma, V, Vass, S, Vasuth, M, Vecchio, A, Vedovato, G, Veitch, J, Veitch, Pj, Venkateswara, K, Venugopalan, G, Verkindt, D, Vetrano, F, Vicere, A, Viets, Ad, Vinciguerra, S, Vine, Dj, Vinet, Jy, Vitale, S, Vo, T, Vocca, H, Vorvick, C, Vyatchanin, Sp, Wade, Ar, Wade, Le, Wade, M, Walet, R, Walker, M, Wallace, L, Walsh, S, Wang, H, Wang, Jz, Wang, S, Wang, Wh, Wang, Yf, Ward, Rl, Warden, Za, Warner, J, Was, M, Watchi, J, Weaver, B, Wei, Lw, Weinert, M, Weinstein, Aj, Weiss, R, Wellmann, F, Wen, L, Wessel, Ek, Wessels, P, Westhouse, Jw, Wette, K, Whelan, Jt, Whiting, Bf, Whittle, C, Wilken, Dm, Williams, D, Williamson, Ar, Willis, Jl, Willke, B, Winkler, W, Wipf, Cc, Wittel, H, Woan, G, Woehler, J, Wofford, Jk, Wright, Jl, Wu, D, Wysocki, Dm, Xiao, S, Xu, R, Yamamoto, H, Yancey, Cc, Yang, L, Yang, Y, Yang, Z, Yap, Mj, Yazback, M, Yeeles, Dw, Yu, H, Yuen, Shr, Zadrozny, Ak, Zadrozny, A, Zanolin, M, Zappa, F, Zelenova, T, Zendri, Jp, Zevin, M, Zhang, J, Zhang, L, Zhang, T, Zhao, C, Zhao, G, Zhou, M, Zhou, Z, Zhu, Xj, Zimmerman, Ab, Zlochower, Y, Zucker, Me, Zweizig, J, Abbott, B. P., Abbott, R., Abbott, T. D., Abraham, S., Acernese, F., Ackley, K., Adams, C., Adya, V. B., Affeldt, C., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Allen, G., Allocca, A., Aloy, M. A., Altin, P. A., Amato, A., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Angelova, S. V., Antier, S., Appert, S., Arai, K., Araya, M. C., Areeda, J. S., Arene, M., Arnaud, N., Aronson, S. M., Arun, K. G., Ascenzi, S., Ashton, G., Aston, S. M., Astone, P., Aubin, F., Aufmuth, P., Aultoneal, K., Austin, C., Avendano, V., Avila-Alvarez, A., Babak, S., Bacon, P., Badaracco, F., Bader, M. K. M., Bae, S., Baird, J., Baker, P. T., Baldaccini, F., Ballardin, G., Ballmer, S. W., Bals, A., Banagiri, S., Barayoga, J. C., Barbieri, C., Barclay, S. E., Barish, B. C., Barker, D., Barkett, K., Barnum, S., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Bartos, I., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Becsy, B., Bejger, M., Belahcene, I., Bell, A. S., Beniwal, D., Benjamin, M. G., Berger, B. K., Bergmann, G., Bernuzzi, S., Berry, C. P. L., Bersanetti, D., Bertolini, A., Betzwieser, J., Bhandare, R., Bidler, J., Biggs, E., Bilenko, I. A., Bilgili, S. A., Billingsley, G., Birney, R., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Bitossi, M., Bizouard, M. A., Blackburn, J. K., Blackman, J., Blair, C. D., Blair, D. G., Blair, R. M., Bloemen, S., Bobba, F., Bode, N., Boer, M., Boetzel, Y., Bogaert, G., Bondu, F., Bonnand, R., Booker, P., Boom, B. A., Bork, R., Boschi, V., Bose, S., Bossilkov, V., Bosveld, J., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brighenti, F., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Buikema, A., Bulik, T., Bulten, H. J., Buonanno, A., Buskulic, D., Buy, C., Byer, R. L., Cabero, M., Cadonati, L., Cagnoli, G., Cahillane, C., Calderon Bustillo, J., Callister, T. A., Calloni, E., Camp, J. B., Campbell, W. A., Canepa, M., Cannon, K. C., Cao, H., Cao, J., Carapella, G., Carbognani, F., Caride, S., Carney, M. F., Carullo, G., Casanueva Diaz, J., Casentini, C., Caudill, S., Cavaglia, M., Cavalier, F., Cavalieri, R., Cella, G., Cerda-Duran, P., Cesarini, E., Chaibi, O., Chakravarti, K., Chamberlin, S. J., Chan, M., Chao, S., Charlton, P., Chase, E. A., Chassande-Mottin, E., Chatterjee, D., Chaturvedi, M., Chatziioannou, K., Cheeseboro, B. D., Chen, H. Y., Chen, X., Chen, Y., Cheng, H. -P., Cheong, C. K., Chia, H. Y., Chiadini, F., Chincarini, A., Chiummo, A., Cho, G., Cho, H. S., Cho, M., Christensen, N., Chu, Q., Chua, S., Chung, K. W., Chung, S., Ciani, G., Cieslar, M., Ciobanu, A. A., Ciolfi, R., Cipriano, F., Cirone, A., Clara, F., Clark, J. A., Clearwater, P., Cleva, F., Coccia, E., Cohadon, P. -F., Cohen, D., Colleoni, M., Collette, C. G., Collins, C., Colpi, M., Cominsky, L. R., Constancio, M., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrion, I., Corezzi, S., Corley, K. R., Cornish, N., Corre, D., Corsi, A., Cortese, S., Costa, C. A., Cotesta, R., Coughlin, M. W., Coughlin, S. B., Coulon, J. -P., Countryman, S. T., Couvares, P., Covas, P. B., Cowan, E. E., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Creighton, J. D. E., Creighton, T. D., Cripe, J., Croquette, M., Crowder, S. G., Cullen, T. J., Cumming, A., Cunningham, L., Cuoco, E., Dal Canton, T., Dalya, G., D'Angelo, B., Danilishin, S. L., D'Antonio, S., Danzmann, K., Dasgupta, A., Da Silva Costa, C. F., Datrier, L. E. H., Dattilo, V., Dave, I., Davier, M., Davis, D., Daw, E. J., Debra, D., Deenadayalan, M., Degallaix, J., De Laurentis, M., Deleglise, S., Del Pozzo, W., Demarchi, L. M., Demos, N., Dent, T., De Pietri, R., De Rosa, R., De Rossi, C., Desalvo, R., De Varona, O., Dhurandhar, S., Diaz, M. C., Dietrich, T., Di Fiore, L., Difronzo, C., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Ding, B., Di Pace, S., Di Palma, I., Di Renzo, F., Divakarla, A. K., Dmitriev, A., Doctor, Z., Donovan, F., Dooley, K. L., Doravari, S., Dorrington, I., Downes, T. P., Drago, M., Driggers, J. C., Du, Z., Ducoin, J. -G., Dupej, P., Durante, O., Dwyer, S. E., Easter, P. J., Eddolls, G., Edo, T. B., Effler, A., Ehrens, P., Eichholz, J., Eikenberry, S. S., Eisenmann, M., Eisenstein, R. A., Errico, L., Essick, R. C., Estelles, H., Estevez, D., Etienne, Z. B., Etzel, T., Evans, M., Evans, T. M., Fafone, V., Fairhurst, S., Fan, X., Farinon, S., Farr, B., Farr, W. M., Fauchon-Jones, E. J., Favata, M., Fays, M., Fazio, M., Fee, C., Feicht, J., Fejer, M. M., Feng, F., Fernandez-Galiana, A., Ferrante, I., Ferreira, E. C., Ferreira, T. A., Fidecaro, F., Fiori, I., Fiorucci, D., Fishbach, M., Fisher, R. P., Fishner, J. M., Fittipaldi, R., Fitz-Axen, M., Fiumara, V., Flaminio, R., Fletcher, M., Floden, E., Flynn, E., Fong, H., Font, J. A., Forsyth, P. W. F., Fournier, J. -D., Frasca, S., Frasconi, F., Frei, Z., Freise, A., Frey, R., Frey, V., Fritschel, P., Frolov, V. V., Fronze, G., Fulda, P., Fyffe, M., Gabbard, H. A., Gadre, B. U., Gaebel, S. M., Gair, J. R., Gammaitoni, L., Gaonkar, S. G., Garcia-Quiros, C., Garufi, F., Gateley, B., Gaudio, S., Gaur, G., Gayathri, V., Gemme, G., Genin, E., Gennai, A., George, D., George, J., Gergely, L., Ghonge, S., Ghosh, A., Ghosh, S., Giacomazzo, B., Giaime, J. A., Giardina, K. D., Gibson, D. R., Gill, K., Glover, L., Gniesmer, J., Godwin, P., Goetz, E., Goetz, R., Goncharov, B., Gonzalez, G., Gonzalez Castro, J. M., Gopakumar, A., Gossan, S. E., Gosselin, M., Gouaty, R., Grace, B., Grado, A., Granata, M., Grant, A., Gras, S., Grassia, P., Gray, C., Gray, R., Greco, G., Green, A. C., Green, R., Gretarsson, E. M., Grimaldi, A., Grimm, S. J., Groot, P., Grote, H., Grunewald, S., Gruning, P., Guidi, G. M., Gulati, H. K., Guo, Y., Gupta, A., Gupta, P., Gustafson, E. K., Gustafson, R., Haegel, L., Halim, O., Hall, B. R., Hall, E. D., Hamilton, E. Z., Hammond, G., Haney, M., Hanke, M. M., Hanks, J., Hanna, C., Hannam, M. D., Hannuksela, O. A., Hansen, T. J., Hanson, J., Harder, T., Hardwick, T., Haris, K., Harms, J., Harry, G. M., Harry, I. W., Hasskew, R. K., Haster, C. J., Haughian, K., Hayes, F. J., Healy, J., Heidmann, A., Heintze, M. C., Heitmann, H., Hellman, F., Hello, P., Hemming, G., Hendry, M., Heng, I. S., Hennig, J., Hernandez Vivanco, F., Heurs, M., Hild, S., Hinderer, T., Ho, W. C. G., Hochheim, S., Hofman, D., Holgado, A. M., Holland, N. A., Holt, K., Holz, D. E., Hopkins, P., Horst, C., Hough, J., Howell, E. J., Hoy, C. G., Huang, Y., Hubner, M. T., Huerta, E. A., Huet, D., Hughey, B., Hui, V., Husa, S., Huttner, S. H., Huynh-Dinh, T., Idzkowski, B., Iess, A., Inchauspe, H., Ingram, C., Inta, R., Intini, G., Irwin, B., Isa, H. N., Isac, J. -M., Isi, M., Iyer, B. R., Jacqmin, T., Jadhav, S. J., Jani, K., Janthalur, N. N., Jaranowski, P., Jariwala, D., Jenkins, A. C., Jiang, J., Johnson, D. S., Jones, A. W., Jones, D. I., Jones, J. D., Jones, R., Jonker, R. J. G., Ju, L., Junker, J., Kalaghatgi, C. V., Kalogera, V., Kamai, B., Kandhasamy, S., Kang, G., Kanner, J. B., Kapadia, S. J., Karki, S., Kashyap, R., Kasprzack, M., Kastaun, W., Katsanevas, S., Katsavounidis, E., Katzman, W., Kaufer, S., Kawabe, K., Keerthana, N. V., Kefelian, F., Keitel, D., Kennedy, R., Key, J. S., Khalili, F. Y., Khan, I., Khan, S., Khazanov, E. A., Khetan, N., Khursheed, M., Kijbunchoo, N., Kim, C., Kim, J. C., Kim, K., Kim, W., Kim, W. S., Kim, Y. -M., Kimball, C., King, P. J., Kinley-Hanlon, M., Kirchhoff, R., Kissel, J. S., Kleybolte, L., Klika, J. H., Klimenko, S., Knowles, T. D., Koch, P., Koehlenbeck, S. M., Koekoek, G., Koley, S., Kondrashov, V., Kontos, A., Koper, N., Korobko, M., Korth, W. Z., Kovalam, M., Kozak, D. B., Kramer, C., Kringel, V., Krishnendu, N., Krolak, A., Krupinski, N., Kuehn, G., Kumar, A., Kumar, P., Kumar, R., Kuo, L., Kutynia, A., Kwang, S., Lackey, B. D., Laghi, D., Lai, K. H., Lam, T. L., Landry, M., Landry, P., Lane, B. B., Lang, R. N., Lange, J., Lantz, B., Lanza, R. K., Lartaux-Vollard, A., Lasky, P. D., Laxen, M., Lazzarini, A., Lazzaro, C., Leaci, P., Leavey, S., Lecoeuche, Y. K., Lee, C. H., Lee, H. K., Lee, H. M., Lee, H. W., Lee, J., Lee, K., Lehmann, J., Lenon, A. K., Leroy, N., Letendre, N., Levin, Y., Li, A., Li, J., Li, K. J. L., Li, T. G. F., Li, X., Lin, F., Linde, F., Linker, S. D., Littenberg, T. B., Liu, J., Liu, X., Llorens-Monteagudo, M., Lo, R. K. L., London, L. T., Longo, A., Lorenzini, M., Loriette, V., Lormand, M., Losurdo, G., Lough, J. D., Lousto, C. O., Lovelace, G., Lower, M. E., Luck, H., Lumaca, D., Lundgren, A. P., Lynch, R., Ma, Y., Macas, R., Macfoy, S., Macinnis, M., Macleod, D. M., Macquet, A., Magana Hernandez, I., Magana-Sandoval, F., Magee, R. M., Majorana, E., Maksimovic, I., Malik, A., Man, N., Mandic, V., Mangano, V., Mansell, G. L., Manske, M., Mantovani, M., Mapelli, M., Marchesoni, F., Marion, F., Marka, S., Marka, Z., Markakis, C., Markosyan, A. S., Markowitz, A., Maros, E., Marquina, A., Marsat, S., Martelli, F., Martin, I. W., Martin, R. M., Martinez, V., Martynov, D. V., Masalehdan, H., Mason, K., Massera, E., Masserot, A., Massinger, T. J., Masso-Reid, M., Mastrogiovanni, S., Matas, A., Matichard, F., Matone, L., Mavalvala, N., Mccann, J. J., Mccarthy, R., Mcclelland, D. E., Mccormick, S., Mcculler, L., Mcguire, S. C., Mcisaac, C., Mciver, J., Mcmanus, D. J., Mcrae, T., Mcwilliams, S. T., Meacher, D., Meadors, G. D., Mehmet, M., Mehta, A. K., Meidam, J., Mejuto Villa, E., Melatos, A., Mendell, G., Mercer, R. A., Mereni, L., Merfeld, K., Merilh, E. 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K., Obergaulinger, M., Oberling, J., O'Brien, B. D., Oganesyan, G., Ogin, G. H., Oh, J. J., Oh, S. H., Ohme, F., Ohta, H., Okada, M. A., Oliver, M., Oppermann, P., Oram, R. J., O'Reilly, B., Ormiston, R. G., Ortega, L. F., O'Shaughnessy, R., Ossokine, S., Ottaway, D. J., Overmier, H., Owen, B. J., Pace, A. E., Pagano, G., Page, M. A., Pagliaroli, G., Pai, A., Pai, S. A., Palamos, J. R., Palashov, O., Palomba, C., Pan, H., Panda, P. K., Pang, P. T. H., Pankow, C., Pannarale, F., Pant, B. C., Paoletti, F., Paoli, A., Parida, A., Parker, W., Pascucci, D., Pasqualetti, A., Passaquieti, R., Passuello, D., Patil, M., Patricelli, B., Payne, E., Pearlstone, B. L., Pechsiri, T. C., Pedersen, A. J., Pedraza, M., Pedurand, R., Pele, A., Penn, S., Perego, A., Perez, C. J., Perigois, C., Perreca, A., Petermann, J., Pfeiffer, H. P., Phelps, M., Phukon, K. S., Piccinni, O. J., Pichot, M., Piergiovanni, F., Pierro, V., Pillant, G., Pinard, L., Pinto, I. 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W., Wette, K., Whelan, J. T., Whiting, B. F., Whittle, C., Wilken, D. M., Williams, D., Williamson, A. R., Willis, J. L., Willke, B., Winkler, W., Wipf, C. C., Wittel, H., Woan, G., Woehler, J., Wofford, J. K., Wright, J. L., Wu, D. S., Wysocki, D. M., Xiao, S., Xu, R., Yamamoto, H., Yancey, C. C., Yang, L., Yang, Y., Yang, Z., Yap, M. J., Yazback, M., Yeeles, D. W., Yu, H., Yuen, S. H. R., Zadrozny, A. K., Zadrozny, A., Zanolin, M., Zappa, F., Zelenova, T., Zendri, J. -P., Zevin, M., Zhang, J., Zhang, L., Zhang, T., Zhao, C., Zhao, G., Zhou, M., Zhou, Z., Zhu, X. J., Zimmerman, A. B., Zlochower, Y., Zucker, M. E., Zweizig, J., Van Swinderen Institute for Particle Physics and G, Abbott, B, Abbott, T, Adya, V, Aguiar, O, Aloy, M, Altin, P, Anderson, S, Anderson, W, Angelova, S, Araya, M, Arène, M, Aronson, S, Arun, K, Aston, S, Bader, M, Baker, P, Ballmer, S, Barayoga, J, Barclay, S, Barish, B, Bayley, J, Bécsy, B, Benjamin, M, Berger, B, Berry, C, Bilenko, I, Bilgili, S, Bizouard, M, Blackburn, J, Blair, C, Blair, D, Blair, R, Boom, B, Brady, P, Brau, J, Briggs, J, Brooks, A, Brown, D, Bulten, H, Byer, R, Calderón Bustillo, J, Callister, T, Camp, J, Campbell, W, Cannon, K, Carney, M, Casanueva Diaz, J, Cavaglià, M, Cerdá-Durán, P, Chamberlin, S, Chase, E, Cheeseboro, B, Chen, H, Cheng, H, Cheong, C, Chia, H, Chung, K, Cieślar, M, Ciobanu, A, Clark, J, Cohadon, P, Collette, C, Cominsky, L, Cooper, S, Corbitt, T, Cordero-Carrión, I, Corley, K, Costa, C, Coughlin, M, Coughlin, S, Coulon, J, Countryman, S, Covas, P, Cowan, E, Coward, D, Cowart, M, Coyne, D, Creighton, J, Creighton, T, Crowder, S, Cullen, T, Dal Canton, T, Dálya, G, D’Angelo, B, Danilishin, S, D’Antonio, S, Da Silva Costa, C, Datrier, L, Daw, E, Deléglise, S, Demarchi, L, Díaz, M, Divakarla, A, Dooley, K, Downes, T, Driggers, J, Ducoin, J, Dwyer, S, Easter, P, Edo, T, Eisenstein, R, Essick, R, Etienne, Z, Evans, T, Farr, W, Fauchon-Jones, E, Fejer, M, Ferreira, E, Ferreira, T, Fisher, R, Fishner, J, Font, J, Forsyth, P, Fournier, J, Frolov, V, Fronzè, G, Gabbard, H, Gadre, B, Gaebel, S, Gair, J, Gaonkar, S, García-Quirós, C, Giaime, J, Giardina, K, Gibson, D, González, G, Gonzalez Castro, J, Gossan, S, Green, A, Gretarsson, E, Grimm, S, Guidi, G, Gulati, H, Gustafson, E, Hall, B, Hall, E, Hamilton, E, Hanke, M, Hannam, M, Hannuksela, O, Hansen, T, Harry, G, Harry, I, Hasskew, R, Haster, C, Hayes, F, Heintze, M, Hernandez Vivanco, F, Ho, W, Holgado, A, Holland, N, Holz, D, Howell, E, Hoy, C, Hübner, M, Huerta, E, Huttner, S, Isa, H, Isac, J, Iyer, B, Jadhav, S, Janthalur, N, Jenkins, A, Jones, A, Jones, D, Jones, J, Jonker, R, Kalaghatgi, C, Kanner, J, Kapadia, S, Keerthana, N, Kéfélian, F, Khalili, F, Khazanov, E, Kim, J, Kim, Y, King, P, Klika, J, Knowles, T, Koehlenbeck, S, Korth, W, Kozak, D, Krämer, C, Królak, A, Lackey, B, Lai, K, Lam, T, Lane, B, Lang, R, Lanza, R, Lasky, P, Lecoeuche, Y, Lee, C, Lee, H, Lenon, A, Li, K, Li, T, Linker, S, Littenberg, T, Lo, R, London, L, Lough, J, Lousto, C, Lower, M, Lück, H, Lundgren, A, Macleod, D, Magaña Hernandez, I, Magaña-Sandoval, F, Magee, R, Mansell, G, Márka, S, Márka, Z, Martin, I, Martin, R, Martynov, D, Massinger, T, Mccann, J, Mcclelland, D, Mcguire, S, Mcmanus, D, Mcwilliams, S, Meadors, G, Mehta, A, Mejuto Villa, E, Mercer, R, Merilh, E, Meyers, P, Miller, A, Mills, J, Milovich-Goff, M, Mitrofanov, V, Mohapatra, S, Moore, C, Mow-Lowry, C, Muñiz, E, Murray, P, Nayak, R, Neil, B, Nelson, T, Ng, K, Nichols, S, Nuttall, L, O’Brien, B, Ogin, G, Oh, J, Oh, S, Okada, M, Oram, R, O’Reilly, B, Ormiston, R, Ortega, L, O’Shaughnessy, R, Ottaway, D, Owen, B, Pace, A, Page, M, Pai, S, Palamos, J, Panda, P, Pang, P, Pant, B, Pearlstone, B, Pechsiri, T, Pedersen, A, Perez, C, Périgois, C, Pfeiffer, H, Piccinni, O, Pinto, I, Pong, D, Porter, E, Prajapati, A, Prodi, G, Pürrer, M, Quinonez, P, Raab, F, Ramirez, K, Reitze, D, Richardson, C, Richardson, J, Ricker, P, Robertson, N, Rollins, J, Roma, V, Romel, C, Romie, J, Rose, C, Rosińska, D, Rosofsky, S, Ross, M, Rüdiger, A, Sanchez, E, Sanchez, L, Sanders, J, Santiago, K, Savage, R, Schnabel, R, Schofield, R, Schönbeck, A, Schulte, B, Schutz, B, Scott, S, Shaddock, D, Shaner, M, Shoemaker, D, Singer, L, Sintes, A, Slagmolen, B, Slaven-Blair, T, Smith, J, Smith, R, Son, E, Spencer, A, Srivastava, A, Steer, D, Stevenson, S, Stops, D, Strain, K, Strigin, S, Stuver, A, Summerscales, T, Sutton, P, Swinkels, B, Szczepańczyk, M, Tait, S, Tanner, D, Tápai, M, Tasson, J, Thondapu, S, Thorne, K, Torres-Forné, A, Torrie, C, Töyrä, D, Tringali, M, Tsang, K, Urban, A, Usman, S, van den Brand, J, Van der-Hyde, D, van der Schaaf, L, Van Heijningen, J, van Veggel, A, Vasúth, M, Veitch, P, Viceré, A, Viets, A, Vine, D, Vinet, J, Vyatchanin, S, Wade, A, Wade, L, Wang, J, Wang, W, Wang, Y, Ward, R, Warden, Z, Wei, L, Weinstein, A, Wessel, E, Weßels, P, Westhouse, J, Whelan, J, Whiting, B, Wilken, D, Williamson, A, Willis, J, Wipf, C, Wofford, J, Wright, J, Wysocki, D, Yancey, C, Yap, M, Yeeles, D, Yuen, S, Zadrożny, A, Zendri, J, Zhu, X, Zimmerman, A, Zucker, M, (Astro)-Particles Physics, Abbott, B P, Abbott, T D, Adya, V B, Aguiar, O D, Aloy, M A, Altin, P A, Anderson, S B, Anderson, W G, Angelova, S V, Araya, M C, Areeda, J S, Aronson, S M, Arun, K G, Aston, S M, Bader, M K M, Baker, P T, Ballmer, S W, Barayoga, J C, Barclay, S E, Barish, B C, Bayley, J C, Bell, A S, Benjamin, M G, Berger, B K, Berry, C P L, Bilenko, I A, Bilgili, S A, Bizouard, M A, Blackburn, J K, Blair, C D, Blair, D G, Blair, R M, Boom, B A, Brady, P R, Brau, J E, Briggs, J H, Brooks, A F, Brown, D D, Bulten, H J, Byer, R L, Callister, T A, Camp, J B, Campbell, W A, Cannon, K C, Carney, M F, Chamberlin, S J, Chase, E A, Cheeseboro, B D, Chen, H Y, Cheng, H-P, Cheong, C K, Chia, H Y, Cho, H S, Chung, K W, Ciobanu, A A, Clark, J A, Cohadon, P-F, Collette, C G, Cominsky, L R, Cooper, S J, Corbitt, T R, Corley, K R, Costa, C A, Coughlin, M W, Coughlin, S B, Coulon, J-P, Countryman, S T, Covas, P B, Cowan, E E, Coward, D M, Cowart, M J, Coyne, D C, Creighton, J D E, Creighton, T D, Crowder, S G, Cullen, T J, Danilishin, S L, Da Silva Costa, C F, Datrier, L E H, Daw, E J, Demarchi, L M, Díaz, M C, Divakarla, A K, Dooley, K L, Downes, T P, Driggers, J C, Ducoin, J-G, Dwyer, S E, Easter, P J, Edo, T B, Eikenberry, S S, Eisenstein, R A, Essick, R C, Etienne, Z B, Evans, T M, Farr, W M, Fauchon-Jones, E J, Fejer, M M, Ferreira, E C, Ferreira, T A, Fisher, R P, Fishner, J M, Font, J A, Forsyth, P W F, Fournier, J-D, Frolov, V V, Gabbard, H A, Gadre, B U, Gaebel, S M, Gair, J R, Gaonkar, S G, Ghosh, Abhirup, Ghosh, Archisman, Giaime, J A, Giardina, K D, Gibson, D R, Gonzalez Castro, J M, Gossan, S E, Green, A C, Gretarsson, E M, Grimm, S J, Guidi, G M, Gulati, H K, Gupta, Anchal, Gustafson, E K, Hall, B R, Hall, E D, Hamilton, E Z, Hanke, M M, Hannam, M D, Hannuksela, O A, Hansen, T J, Harry, G M, Harry, I W, Hasskew, R K, Haster, C J, Hayes, F J, Heintze, M C, Heng, I S, Hernandez Vivanco, Francisco, Ho, W C G, Holgado, A M, Holland, N A, Holz, D E, Howell, E J, Hoy, C G, Hübner, M T, Huerta, E A, Huttner, S H, Isa, H N, Isac, J-M, Iyer, B R, Jadhav, S J, Janthalur, N N, Jenkins, A C, Johnson, D S, Jones, A W, Jones, D I, Jones, J D, Jonker, R J G, Kalaghatgi, C V, Kanner, J B, Kapadia, S J, Keerthana, N V, Key, J S, Khalili, F Y, Khazanov, E A, Kim, Chunglee, Kim, J C, Kim, W S, Kim, Y-M, King, P J, Kissel, J S, Klika, J H, Knowles, T D, Koehlenbeck, S M, Korth, W Z, Kozak, D B, Kumar, Rahul, Kumar, Rakesh, Lackey, B D, Lai, K H, Lam, T L, Lane, B B, Lang, R N, Lanza, R K, Lasky, P D, Lecoeuche, Y K, Lee, C H, Lee, H K, Lee, H M, Lee, H W, Lenon, A K, Li, K J L, Li, T G F, Linker, S D, Littenberg, T B, Lo, R K L, London, L T, Lough, J D, Lousto, C O, Lower, M E, Lundgren, A P, Macleod, D M, Magee, R M, Mansell, G L, Markosyan, A S, Martin, I W, Martin, R M, Martynov, D V, Massinger, T J, Mccann, J J, Mcclelland, D E, Mcguire, S C, Mcmanus, D J, Mcwilliams, S T, Meadors, G D, Mehta, A K, Mercer, R A, Merilh, E L, Meyers, P M, Miller, A L, Mills, J C, Milovich-Goff, M C, Mitrofanov, V P, Mohapatra, S R P, Moore, C J, Mow-Lowry, C M, Mukherjee, Arunava, Mukherjee, Subroto, Muñiz, E A, Murray, P G, Nayak, R K, Neil, B F, Nelson, T J N, Ng, K Y, Nichols, S A, Nuttall, L K, O’Brien, B D, Ogin, G H, Oh, J J, Oh, S H, Okada, M A, Oram, Richard J, Ormiston, R G, Ortega, L F, Ottaway, D J, Owen, B J, Pace, A E, Page, M A, Pai, S A, Palamos, J R, Panda, P K, Pang, P T H, Pant, B C, Pearlstone, B L, Pechsiri, T C, Pedersen, A J, Perez, C J, Pfeiffer, H P, Phukon, K S, Piccinni, O J, Pinto, I M, Pong, D Y T, Porter, E K, Prajapati, A K, Prodi, G A, Quinonez, P J, Raab, F J, Ramirez, K E, Rana, Javed, Reitze, D H, Richardson, C J, Richardson, J W, Ricker, P M, Robertson, N A, Rollins, J G, Roma, V J, Romel, C L, Romie, J H, Rose, C A, Rosofsky, S G, Ross, M P, Salafia, O S, Sanchez, E J, Sanchez, L E, Sanders, J R, Santiago, K A, Sathyaprakash, B S, Savage, R L, Schofield, R M S, Schulte, B W, Schutz, B F, Scott, S M, Sengupta, A S, Shaddock, D A, Shahriar, M S, Shaner, M B, Shoemaker, D H, Shoemaker, D M, Singer, L P, Sintes, A M, Slagmolen, B J J, Slaven-Blair, T J, Smith, J R, Smith, R J E, Son, E J, Spencer, A P, Srivastava, A K, Steer, D A, Stevenson, S P, Stops, D J, Strain, K A, Strigin, S E, Stuver, A L, Summerscales, T Z, Sutton, P J, Swinkels, B L, Szczepańczyk, M J, Tait, S C, Tanner, D B, Tasson, J D, Thondapu, S R, Thorne, K A, Tiwari, Shubhanshu, Tiwari, Srishti, Torrie, C I, Tringali, M C, Tsang, K W, Unnikrishnan, C S, Urban, A L, Usman, S A, van den Brand, J F J, Van der-Hyde, D C, Van Heijningen, J V, van Veggel, A A, Veitch, P J, Viets, A D, Vine, D J, Vinet, J-Y, Vyatchanin, S P, Wade, A R, Wade, L E, Wang, J Z, Wang, W H, Wang, Y F, Ward, R L, Warden, Z A, Wei, L-W, Weinstein, A J, Wessel, E K, Westhouse, J W, Whelan, J T, Whiting, B F, Wilken, D M, Williamson, A R, Willis, J L, Wipf, C C, Wofford, J K, Wright, J L, Wu, D S, Wysocki, D M, Yancey, C C, Yap, M J, Yeeles, D W, Yu, Hang, Yu, Haocun, Yuen, S H R, Zadrożny, A K, Zendri, J-P, Zhu, X J, Zimmerman, A B, Zucker, M E, Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Centre National de la Recherche Scientifique (CNRS), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF (institution))-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut des Hautes Études Scientifiques (IHES), RS: FSE Grav. waves and fundamental physics, Grav. waves and fundamental physics, RS: FSE MSP, IoP (FNWI), and Other Research IHEF (IoP, FNWI)
Subjects: Equation of state, neutron star: binary, Physics and Astronomy (miscellaneous), Astronomy, EXTENDED EMISSION, Binary number, Astrophysics, 01 natural sciences, General Relativity and Quantum Cosmology, neutron stars, Physics, Particles & Fields, ENERGY, GW170817, black hole, First observation of gravitational waves, Astrophysics::Solar and Stellar Astrophysics, NUCLEAR-EQUATION, 010303 astronomy & astrophysics, QC, neutron star equation of state, compact object merger, QB, Settore FIS/01, GAMMA-RAY BURSTS, Physics, High Energy Astrophysical Phenomena (astro-ph.HE), astro-ph.HE, Quantum Science & Technology, statistical analysis: Bayesian, EQUATION-OF-STATE, gravitation: collapse, Physical Sciences, Binary neutron star, [PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc], Astrophysics - High Energy Astrophysical Phenomena, data analysis method, NEUTRON-STARS, gr-qc, Astrophysics::High Energy Astrophysical Phenomena, Physics, Multidisciplinary, FOS: Physical sciences, General Relativity and Quantum Cosmology (gr-qc), Astrophysics::Cosmology and Extragalactic Astrophysics, Astronomy & Astrophysics, MASS, gravitational radiation: direct detection, electromagnetic field: production, Settore FIS/05 - Astronomia e Astrofisica, binary: coalescence, 0103 physical sciences, ddc:530, LIGO–Virgo, equation of state, STFC, Astrophysics::Galaxy Astrophysics, PARAMETRIZATION, Science & Technology, 010308 nuclear & particles physics, Virgo, gravitational radiation, RCUK, stability, compact object mergers, gravitational wave astronomy, LIGO, gravitational radiation detector, Black hole, Baryon, Stars, Neutron star, Physics and Astronomy, neutron stars, neutron star equation of state, gravitational wave astronomy, compact object mergers, gravitational radiation: emission, Dewey Decimal Classification::500 | Naturwissenschaften::530 | Physik, FORCES, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], MATTER
Abstract: GW170817 is the very first observation of gravitational waves originating from the coalescence of two compact objects in the mass range of neutron stars, accompanied by electromagnetic counterparts, and offers an opportunity to directly probe the internal structure of neutron stars. We perform Bayesian model selection on a wide range of theoretical predictions for the neutron star equation of state. For the binary neutron star hypothesis, we find that we cannot rule out the majority of theoretical models considered. In addition, the gravitational-wave data alone does not rule out the possibility that one or both objects were low-mass black holes. We discuss the possible outcomes in the case of a binary neutron star merger, finding that all scenarios from prompt collapse to long-lived or even stable remnants are possible. For long-lived remnants, we place an upper limit of 1.9 kHz on the rotation rate. If a black hole was formed any time after merger and the coalescing stars were slowly rotating, then the maximum baryonic mass of non-rotating neutron stars is at most 3.05 $M_\odot$, and three equations of state considered here can be ruled out. We obtain a tighter limit of 2.67 $M_\odot$ for the case that the merger results in a hypermassive neutron star., Comment: 35 pages, 4 figures
Published: 2020

3. Association study of the 5-HT2A receptor gene polymorphism, T102C and essential hypertension

Author: Liolitsa, D, Powell, JF, Prince, M, and Lovestone, S
Published: 2001
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4. A novel Alzheimer disease locus located near the gene encoding tau protein

Author: Jun, G, Ibrahim-Verbaas, CA, Vronskaya, M, Lambert, J-C, Chung, J, Naj, AC, Kunkle, BW, Wang, L-S, Bis, JC, Bellenguez, C, Harold, D, Lunetta, KL, Destefano, AL, Grenier-Boley, B, Sims, R, Beecham, GW, Smith, AV, Chouraki, V, Hamilton-Nelson, KL, Ikram, MA, Fievet, N, Denning, N, Martin, ER, Schmidt, H, Kamatani, Y, Dunstan, ML, Valladares, O, Laza, AR, Zelenika, D, Ramirez, A, Foroud, TM, Choi, S-H, Boland, A, Becker, T, Kukull, WA, Van Der Lee, SJ, Pasquier, F, Cruchaga, C, Beekly, D, Fitzpatrick, AL, Hanon, O, Gill, M, Barber, R, Gudnason, V, Campion, D, Love, S, Bennett, DA, Amin, N, Berr, C, Tsolaki, Magda, Buxbaum, JD, Lopez, OL, Deramecourt, V, Fox, NC, Cantwell, LB, Tárraga, L, Dufouil, C, Hardy, J, Crane, PK, Eiriksdottir, G, Hannequin, D, Clarke, R, Evans, D, Mosley, TH, Letenneur, L, Brayne, C, Maier, W, De Jager, P, Emilsson, V, Dartigues, J-F, Hampel, H, Kamboh, MI, De Bruijn, RFAG, Tzourio, C, Pastor, P, Larson, EB, Rotter, JI, O'Donovan, MC, Montine, TJ, Nalls, MA, Mead, S, Reiman, EM, Jonsson, PV, Holmes, C, St George-Hyslop, PH, Boada, M, Passmore, P, Wendland, Schmidt, R, Morgan, K, Winslow, AR, Powell, JF, Carasquillo, M, Younkin, SG, Jakobsdóttir, J, Kauwe, JSK, Wilhelmsen, KC, Rujescu, D, Nöthen, MM, Hofman, A, Jones, L, IGAP Consortium, Haines, JL, Psaty, BM, Van Broeckhoven, C, Holmans, P, Launer, LJ, Mayeux, R, Lathrop, M, Goate, AM, Escott-Price, V, Seshadri, S, Pericak-Vance, MA, Amouyel, P, Williams, J, Van Duijn, CM, Schellenberg, GD, Farrer, LA, Chouraki, V [0000-0002-4698-1794], Amouyel, P [0000-0001-9088-234X], and Apollo - University of Cambridge Repository
Subjects: Alzheimer Disease, Apolipoprotein E4, Humans, tau Proteins, Polymorphism, Single Nucleotide, Chromosomes, Human, Pair 17, Genome-Wide Association Study
Abstract: APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. We re-analyzed genome-wide association study (GWAS) data from the International Genomics of Alzheimer's Project (IGAP) Consortium in APOE ɛ4+ (10 352 cases and 9207 controls) and APOE ɛ4- (7184 cases and 26 968 controls) subgroups as well as in the total sample testing for interaction between a single-nucleotide polymorphism (SNP) and APOE ɛ4 status. Suggestive associations (P
Published: 2019
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5. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates A beta, tau, immunity and lipid processing (vol 51, pg 414, 2019)

Author: Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Damotte, V, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Moreno-Grau, S, Olaso, R, Raybould, R, Chen, YN, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, LM, Bacq, D, Denning, N, Jian, XQ, Zhao, Y, Del Zompo, M, Fox, NC, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Sanchez-Garcia, F, Patel, Y, Brody, JA, Dombroski, BA, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewicz, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, WS, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Sordon, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Munoz-Fernadez, C, Sussams, R, Lin, HH, Fairchild, TJ, Benito, YA, Holmes, C, Karamujic-Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roshchupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernandez, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth, WT, Montine, TJ, Frisardi, V, Diez-Fairen, M, Rivadeneira, F, Petersen, RC, Deramecourt, V, Alvarez, I, Salani, F, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AGA, Royall, DR, Dufouil, C, Maletta, RG, de Rojas, I, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Quintela, I, Carracedo, A, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frolich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JA, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, JR, Kauwe, JSK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, CH, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Kolsch, H, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hull, M, Geschwind, DH, Gilbert, JR, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, GE, Jin, LW, Leonenko, G, Real, LM, Jun, GR, Baldwin, CT, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jockel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nothen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, Mckee, AC, van den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O'Bryant, S, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, WR, Mead, S, Peskind, E, Cribbs, DH, Rossor, M, Pierce, A, Ryan, NS, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Caltagirone, C, Bossu, P, Orfei, MD, Reisberg, B, Clarke, R, Reitz, C, Smith, AD, Ringman, JM, Warden, D, Roberson, ED, Wilcock, G, Rogaeva, E, Bruni, AC, Rosen, HJ, Gallo, M, Rosenberg, RN, Ben-Shlomo, Y, Sager, MA, Mecocci, P, Saykin, AJ, Pastor, P, Cuccaro, ML, Vance, JM, Schneider, JA, Schneider, LS, Slifer, S, Seeley, WW, Smith, AG, Sonnen, JA, Spina, S, Stern, RA, Swerdlow, RH, Tang, M, Tanzi, RE, Trojanowski, JQ, Troncoso, JC, Van Deerlin, VM, Van Eldik, LJ, Vinters, HV, Vonsattel, JP, Weintraub, S, Welsh-Bohmer, KA, Wilhelmsen, KC, Williamson, J, Wingo, TS, Woltjer, RL, Wright, CB, Yu, CE, Yu, L, Saba, Y, Pilotto, A, Bullido, MJ, Peters, O, Crane, PK, Bennett, D, Bosco, P, Coto, E, Boccardi, V, De Jager, PL, Lleo, A, Warner, N, Lopez, OL, Ingelsson, M, Deloukas, P, Cruchaga, C, Graff, C, Gwilliam, R, Fornage, M, Goate, AM, Sanchez-Juan, P, Kehoe, PG, Amin, N, Ertekin-Taner, N, Berr, C, Debette, S, Love, S, Launer, LJ, Younkin, SG, Dartigues, JF, Corcoran, C, Ikram, MA, Dickson, DW, Nicolas, G, Campion, D, Tschanz, J, Schmidt, H, Hakonarson, H, Clarimon, J, Munger, R, Schmidt, R, Farrer, LA, Van Broeckhoven, C, O'Donovan, MC, DeStefano, AL, Jones, L, Haines, JL, Deleuze, JF, Owen, MJ, Gudnason, V, Mayeux, R, Escott-Price, V, Psaty, BM, Ramirez, A, Wang, LS, Ruiz, A, van Duijn, CM, Holmans, PA, Seshadri, S, Williams, J, Amouyel, P, Schellenberg, GD, Lambert, JC, Pericak-Vance, MA, ADGC, EADI, Cohorts Heart Aging Res Genomic, and Genetic Environm Risk AD Defining
Published: 2019

6. Polygenic risk and hazard scores for Alzheimer's disease prediction

Author: Leonenko, G, Sims, R, Shoai, M, Frizzati, A, Bossù, P, Spalletta, G, Fox, Nc, Williams, J, for the GERAD consortium: Hardy, J, Escott-Price, V, Tsolaki, M, Craig, D, Avramidou, D, Germanou, A, Koutroumani, M, Gkatzima, O, Hampel, H, Kehoe, Pg, Love, S, Rubinsztein, Dc, Frölich, L, Mcguinness, B, Johnston, Ja, Passmore, P, Drichel, D, Rossor, M, Schott, Jm, Warren, Jd, Bras, J, Guerreiro, R, Kawalia, A, Hughes, Jt, Patel, Y, Lupton, Mk, Proitsi, P, Powell, J, Kauwe, Jsk, Mancuso, M, Bonuccelli, U, Uphill, J, Fisher, E, Masullo, C, Soininen, H, Bisceglio, G, Ma, L, Dickson, Dw, Graff‐radford, Nr, Carrasquillo, Mm, Younkin, Sg, Sandro Sorbi, S, Daniilidou, M, Hodges, A, Galimberti, D, Scarpini, E, Scherer, M, Peters, O, Ramirez, A, Leber, M, Pichler, S, Mayhaus, M, Gu, W, Riemenschneider, M, Wiltfang, J, Heun, R, Kölsch, H, Kornhuber, J, Heuser, I, Rujescu, D, Hartmann, Am, Giegling, I, Hüll, M, Lovestone, S, Cruchaga, C, Morris, J, Mayo, K, Feulner, T, Sussams, R, Holmes, C, Mann, D, Pickering‐brown, S, Hooper, Nm, Mcquillin, A, Livingston, G, Bass, Nj, Vronskaya, M, Morgan, T, Denning, N, Cushion, Td, Jones, L, Marshall, R, Meggy, A, Menzies, G, Grozeva, D, O'Donovan, Mc, Owen, Mj, Holmans, Pa, Salani, F, Russo, G, Maier, W, Jessen, F, Wichmann, H-E, Morgan, K, Goate, Am, Vellas, B, Vardy, E, Moebus, S, Jöckel, K-H, Dichgans, M, Klopp, N, Turton, J, Lord, J, Brown, K, Medway, C, Nöthen, Mm, Hoffmann, P, Daniele, A, Bayer, A, Gallacher, J, van den Bussche, H, Brayne, C, Riedel‐heller, S, Powell, Jf, Al‐chalabi, A, Shaw, Ce, Kloszewska, I, Pastor, P, Diez‐fairen, M, Lynch, A, Lawlor, B, Gill, M, Coto, E, Alvarez, V, Singleton, Ab, Collinge, J, Mead, S, Ryan, N, Nacmias, B, Ortega‐cubero, S, Rodriguez‐rodriguez, E, Sanchez‐juan, P, Shofany, J, Banaj, N, Ciullo, V, Sacchinelli, E, Robert, Clarke, A David Smith, Donald, Warden, Yoav, Ben‐shlomo, Chiara, Cupidi, Raffaele Giovanni Maletta, Runi, Gallo, M, Harold, D, Cecchetti, R, Mecocci, P, Boccardi, V, Warner, N, Wilcock, G, Deloukas, P, Gwilliam, R, Corcoran, C, Tschanz, J, Munger, R., and Consortium, Gerad
Subjects: Male, Multifactorial Inheritance, Polygenic risk, Alzheimer's disease, hazard score, Polymorphism, Single Nucleotide, Settore MED/26 - NEUROLOGIA, Apolipoproteins E, Alzheimer Disease, Risk Factors, Case-Control Studies, Humans, Female, Genetic Predisposition to Disease, Research Articles, Research Article, Genome-Wide Association Study, Proportional Hazards Models
Abstract: Objective: Genome‐wide association studies (GWAS) have identified over 30 susceptibility loci associated with Alzheimer's disease (AD). Using AD GWAS data from the International Genomics of Alzheimer's Project (IGAP), Polygenic Risk Score (PRS) was successfully applied to predict life time risk of AD development. A recently introduced Polygenic Hazard Score (PHS) is able to quantify individuals with age‐specific genetic risk for AD. The aim of this study was to quantify the age‐specific genetic risk for AD with PRS and compare the results generated by PRS with those from PHS. Methods: Quantification of individual differences in age‐specific genetic risk for AD identified by the PRS, was performed with Cox Regression on 9903 (2626 cases and 7277 controls) individuals from the Genetic and Environmental Risk in Alzheimer's Disease consortium (GERAD). Polygenic Hazard Scores were generated for the same individuals. The age‐specific genetic risk for AD identified by the PRS was compared with that generated by the PHS. This was repeated using varying SNPs P‐value thresholds for disease association. Results: Polygenic Risk Score significantly predicted the risk associated with age at AD onset when SNPs were preselected for association to AD at P ≤ 0.001. The strongest effect (B = 0.28, SE = 0.04, P = 2.5 × 10−12) was observed for PRS based upon genome‐wide significant SNPs (P ≤ 5 × 10−8). The strength of association was weaker with less stringent SNP selection thresholds. Interpretation: Both PRS and PHS can be used to predict an age‐specific risk for developing AD. The PHS approach uses SNP effect sizes derived with the Cox Proportional Hazard Regression model. When SNPs were selected based upon AD GWAS case/control P ≤ 10−3, we found no advantage of using SNP effects sizes calculated with the Cox Proportional Hazard Regression model in our study. When SNPs are selected for association with AD risk at P > 10−3, the age‐specific risk prediction results are not significant for either PRS or PHS. However PHS could be more advantageous than PRS of age specific AD risk predictions when SNPs are prioritized for association with AD age at onset (i.e., powerful Cox Regression GWAS study).
Published: 2019

7. Meta-analysis of genetic association with diagnosed Alzheimer's disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Author: Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Naj, AC, Boland, A, Vronskaya, M, van der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Aloso, R, Raybould, R, Chen, Y, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, L, Bacq, D, Denning, N, Jian, X, Zhao, Y, Zompo, MD, Fox, NC, Grove, ML, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Garcia, FS, Patel, Y, Brody, JA, Dombroski, B, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewics, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, W, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Pichler, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Fernadez, CM, Sussams, R, Lin, H, Fairchild, TJ, Benito, YA, Holmes, C, Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roschupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernández, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth Jr, WT, Montine, TJ, Frisardi, V, Ortega-Cubero, S, Rivadeneira, F, Petersen, RC, Deramecourt, V, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Caltagirone, C, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AG, Royall, DR, Dufouil, C, Maletta, RG, Moreno-Grau, S, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Baldwin, CT, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frölich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JI, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, JR, Kauwe, JK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, C, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Cribbs, DH, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hüll, M, Geschwind, DH, Gilbert, JR, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, G, Jin, LW, Leonenko, G, Jun, G, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jöckel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nöthen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, McKee, AC, van den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O’Bryant, S, Coto, E, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, W, Mead, S, Peskind, E, Rosser, M, Pierce, A, Ryan, N, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Bossù, P, Reisberg, B, Clarke, R, Reitz, C, Smith, AD, Ringman, JM, Warden, D, Roberson, ED, Wilcock, G, Rogaeva, E, Bruni, AC, Rosen, HJ, Gallo, M, Rosenberg, RN, Ben-Shlomo, Y, Sager, MA, Mecocci, P, Saykin, AJ, Pastor, P, Cuccaro, ML, Vance, JM, Schneider, JA, Schneider, LS, Seeley, WW, Smith, AG, Sonnen, JA, Spina, S, Stern, RA, Swerdlow, RH, Tanzi, RE, Trojanowski, JQ, Troncoso, JC, Van Deerlin, VM, Van Eldik, LJ, Vinters, HV, Vonsattel, JP, Weintraub, S, Welsh-Bohmer, KA, Wilhelmsen, KC, Williamson, J, Wingo, TS, Woltjer, RL, Wright, CB, Yu, CE, Yu, L, Crane, PK, Bennett, DA, Boccardi, V, De Jager, PL, Warner, N, Lopez, OL, McDonough, S, Ingelsson, M, Deloukas, P, Cruchaga, C, Graff, C, Gwilliam, R, Fornage, M, Goate, AM, Sanchez-Juan, P, Kehoe, PG, Amin, N, Ertekin-Taner, N, Berr, C, Debette, S, Love, S, Launer, LJ, Younkin, SG, Dartigues, JF, Corcoran, C, Ikram, MA, Dickson, DW, Campion, D, Tschanz, J, Schmidt, H, Hakonarson, H, Munger, R, Schmidt, R, Farrer, LA, Van Broeckhoven, C, O’Donovan, MC, DeStefano, AL, Jones, L, Haines, JL, Deleuze, JF, Owen, MJ, Gudnason, V, Mayeux, R, Escott-Price, V, Psaty, BM, Ruiz, A, Ramirez, A, Wang, LS, van Duijn, CM, Holmans, PA, Seshadri, S, Williams, J, Amouyel, P, Schellenberg, GD, Lambert, JC, Pericak-Vance, MA, Bis, JC [0000-0002-3409-1110], Garnier, JG [0000-0003-4991-763X], Smith, AV [0000-0001-9088-234X], Denning, N [0000-0001-8467-7382], Vandenberghe, R [0000-0001-6237-2502], Himali, JJ [0000-0003-1391-9481], Rodriguez-Rodriguez, E [0000-0001-7742-677X], Frisardi, V [0000-0003-0764-7387], Ortega-Cubero, S [0000-0003-0520-9439], Hanon, O [0000-0002-4697-122X], Brice, A [0000-0002-0941-3990], Albin, RL [0000-0002-0629-608X], Buxbaum, JD [0000-0001-8898-8313], Bass, NJ [0000-0002-4481-778X], Fisher, E [0000-0003-2850-9936], Bayer, A [0000-0002-7514-248X], Gallacher, J [0000-0002-2394-5299], Brayne, C [0000-0001-5307-663X], Riedel-Heller, S [0000-0003-4321-6090], Al-Chalabi, A [0000-0002-4924-7712], and Apollo - University of Cambridge Repository
Subjects: Aging, 4202 Epidemiology, Genome-wide association study, Disease, Neurodegenerative, Biology, 3101 Biochemistry and Cell Biology, Alzheimer's Disease, 3105 Genetics, 03 medical and health sciences, 0302 clinical medicine, Clinical Research, Acquired Cognitive Impairment, Genetics, medicine, 2.1 Biological and endogenous factors, Dementia, Gene, 030304 developmental biology, Genetic association, 2 Aetiology, 0303 health sciences, Prevention, Human Genome, 42 Health Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Lipid metabolism, medicine.disease, Brain Disorders, 3. Good health, Meta-analysis, Neurological, Alzheimer's disease, 030217 neurology & neurosurgery, 31 Biological Sciences
Abstract: IntroductionLate-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly1, and risk is partially driven by genetics2. Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS)3–8. To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci (IQCK, ACE, ADAM10, and ADAMTS1). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants (P = 1.32 × 10−7) indicating that additional rare variants remain to be identified.
Published: 2018
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8. No genetic overlap between circulating Iron Levels and Alzheimer's disease

Author: Lupton, MK, Benyamin, B, Proitsi, P, Nyholt, DR, Ferreira, MA, Montgomery, GW, Heath, AC, Madden, PA, Medland, SE, Gordon, SD, Consortium, GERAD1, Initiative, Alzheimer’s Disease Neuroimaging, Lovestone, S, Tsolaki, M, Kloszewska, I, Soininen, H, Mecocci, P, Vellas, B, Powell, JF, Bush, AI, Wright, MJ, Martin, NG, Whitfield, JB, Lupton, Michelle K, Benyamin, Beben, Proitsi, Petroula, Nyholt, Dale R, Whitfield, John B, GERAD1 Consortium, and Faculty of Health Sciences, shared activities
Subjects: 0301 basic medicine, Male, Genome-wide association study, Disease, Bioinformatics, genetic profile scores, Cohort Studies, 0302 clinical medicine, iron, chemistry.chemical_classification, Aged, 80 and over, medicine.diagnostic_test, General Neuroscience, General Medicine, Middle Aged, Alzheimer's disease, apolipoproteins E, dementia, ferritin, genome-wide association study, population genetics, transferrin, Clinical Psychology, Geriatrics and Gerontology, Psychiatry and Mental Health, Serum iron, Female, Alzheimer’s disease, Alzheimer's Disease Neuroimaging Initiative, Biology, Polymorphism, Single Nucleotide, Community Health Planning, 03 medical and health sciences, Meta-Analysis as Topic, Alzheimer Disease, medicine, Dementia, Humans, Genetic Association Studies, Aged, medicine.disease, Ferritin, 030104 developmental biology, chemistry, Transferrin, Immunology, Ferritins, biology.protein, 030217 neurology & neurosurgery
Abstract: Article, Iron deposition in the brain is a prominent feature of Alzheimer’s disease (AD). Recently, peripheral iron measures have also been shown to be associated with AD status. However, it is not known whether these associations are causal: do elevated or depleted iron levels throughout life have an effect on AD risk? We evaluate the effects of peripheral iron on AD risk using a genetic profile score approach by testing whether variants affecting iron, transferrin, or ferritin levels selected from GWAS meta-analysis of approximately 24,000 individuals are also associated with AD risk in an independent case-control cohort (n∼10,000). Conversely, we test whether AD risk variants from a GWAS meta-analysis of approximately 54,000 account for any variance in iron measures (n∼9,000). We do not identify a genetic relationship, suggesting that peripheral iron is not causal in the initiation of AD pathology., final draft, http://purl.org/eprint/status/PeerReviewed
Published: 2017

9. Dental practice implications of prion diseases.

Author: Bebermeyer RD, Powell JF, Hobdell MH, and Durban EM
Abstract: This review article discusses dental practice implications of prion diseases, including Creutzfeldt-Jakob disease. The current universal precautions used for infection control in dentistry do not inactivate infectious prions. There is a theoretical, yet real risk of prion disease transmission through dental treatment, although the magnitude of that risk has not yet been determined. Medical, family, and travel histories can demonstrate the need for implementing improved levels of infection control. Best practices include the following: For certain cases, single-use disposable dental instruments should be used. Those instruments that are not disposable, should have a thorough physical cleaning, be soaked in hot 1N sodium hydroxide solution for 1 hour, and then autoclaved in a vacuum or porous-load autoclave at 134 degrees C to 138 degrees C for 18 to 20 minutes. Dental and other health care professionals need to understand prion diseases, and for best practice, consider implementing recommended changes to infection-control measures, since current practices do not destroy infectious prions. [ABSTRACT FROM AUTHOR]
Published: 2003

10. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases A Mendelian Randomization Study

Author: Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, Smith, GD, Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, and Smith, GD
Published: 2017

11. The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume

Author: Lupton, MK, Strike, L, Hansell, NK, Wen, W, Mather, KA, Armstrong, NJ, Thalamuthu, A, McMahon, KL, de Zubicaray, GI, Assareh, AA, Simmons, A, Proitsi, P, Powell, JF, Montgomery, GW, Hibar, DP, Westman, E, Tsolaki, M, Kloszewska, I, Soininen, H, Mecocci, P, Velas, B, Lovestone, S, Brodaty, H, Ames, D, Trollor, JN, Martin, NG, Thompson, PM, Sachdev, PS, Wright, MJ, Lupton, MK, Strike, L, Hansell, NK, Wen, W, Mather, KA, Armstrong, NJ, Thalamuthu, A, McMahon, KL, de Zubicaray, GI, Assareh, AA, Simmons, A, Proitsi, P, Powell, JF, Montgomery, GW, Hibar, DP, Westman, E, Tsolaki, M, Kloszewska, I, Soininen, H, Mecocci, P, Velas, B, Lovestone, S, Brodaty, H, Ames, D, Trollor, JN, Martin, NG, Thompson, PM, Sachdev, PS, and Wright, MJ
Abstract: Reduction in hippocampal and amygdala volume measured via structural magnetic resonance imaging is an early marker of Alzheimer's disease (AD). Whether genetic risk factors for AD exert an effect on these subcortical structures independent of clinical status has not been fully investigated. We examine whether increased genetic risk for AD influences hippocampal and amygdala volumes in case-control and population cohorts at different ages, in 1674 older (aged >53 years; 17% AD, 39% mild cognitive impairment [MCI]) and 467 young (16-30 years) adults. An AD polygenic risk score combining common risk variants excluding apolipoprotein E (APOE), and a single nucleotide polymorphism in TREM2, were both associated with reduced hippocampal volume in healthy older adults and those with MCI. APOE ε4 was associated with hippocampal and amygdala volume in those with AD and MCI but was not associated in healthy older adults. No associations were found in young adults. Genetic risk for AD affects the hippocampus before the clinical symptoms of AD, reflecting a neurodegenerative effect before clinical manifestations in older adults.
Published: 2016

12. ABCA7 p.G215S as potential protective factor for Alzheimer's disease

Author: Sassi, C, Nalls, MA, Ridge, P G, Gibbs, JR, Ding, JH (Jin Hui), Lupton, MK, Troakes, C, Lunnon, K, Al-Sarraj, S, Brown, KS, Medway, C, Clement, N, Lord, J, Turton, J, Bras, J, Almeida, M R, Holstege, H (Henne), Louwersheimer, E, van der Flier, WM, Scheltens, P, van Swieten, J.C., Santana, I, Oliveira, C, Morgan, K, Powell, JF, Kauwe, J S, Cruchaga, C, Goate, AM, Singleton, AB, Guerreiro, R, Hardy, J, Sassi, C, Nalls, MA, Ridge, P G, Gibbs, JR, Ding, JH (Jin Hui), Lupton, MK, Troakes, C, Lunnon, K, Al-Sarraj, S, Brown, KS, Medway, C, Clement, N, Lord, J, Turton, J, Bras, J, Almeida, M R, Holstege, H (Henne), Louwersheimer, E, van der Flier, WM, Scheltens, P, van Swieten, J.C., Santana, I, Oliveira, C, Morgan, K, Powell, JF, Kauwe, J S, Cruchaga, C, Goate, AM, Singleton, AB, Guerreiro, R, and Hardy, J
Published: 2016

13. Gene-Wide Analysis Detects Two New Susceptibility Genes for Alzheimer's Disease

Author: Escott-Price, V, Bellenguez, C, Wang, LS (Li-San), Choi, SH, Harold, D, Jones, L, Holmans, P, Gerrish, A, Vedernikov, A, Richards, A, DeStefano, AL, Lambert, JC, Verbaas, Carla, Naj, AC, Sims, R, Jun, G, Bis, JC, Beecham, GW, Grenier-Boley, B, Russo, G, Thornton-Wells, TA, Denning, N, Smith, AV, Chouraki, V, Thomas, C, Ikram, Arfan, Zelenika, D, Vardarajan, BN, Kamatani, Y, Lin, CF, Schmidt, Heléna, Kunkle, B, Dunstan, ML, Vronskaya, M, Johnson, AD, Ruiz, A, Bihoreau, MT, Reitz, C, Pasquier, F, Hollingworth, P, Hanon, O, Fitzpatrick, AL, Buxbaum, JD, Campion, D, Crane, PK, Baldwin, C, Becker, T, Gudnason, V, Cruchaga, C, Craig, D, Amin, Najaf, Berr, C, Lopez, OL, De Jager, PL, Deramecourt, V, Johnston, JA, Evans, D, Lovestone, S, Letenneur, L, Hernandez, I, Rubinsztein, DC, Eiriksdottir, G, Sleegers, K (Kristel), Goate, AM, Fievet, N, Huentelman, MJ, Gill, M, Brown, K, Kamboh, MI, Keller, L, Barberger-Gateau, P, McGuinness, B, Larson, EB, Myers, AJ, Dufouil, C, Todd, S, Wallon, D, Love, S, Rogaeva, E, Gallacher, J, St George-Hyslop, P, Clarimon, J, Lleo, A, Bayer, A, Tsuang, DW, Yu, L, Tsolaki, M, Bossu, P, Spalletta, G, Proitsi, P, Collinge, J, Sorbi, S, Garcia, FS, Fox, NC, Hardy, J, Naranjo, MCD, Bosco, P, Clarke, R, Brayne, C, Galimberti, D, Scarpini, E, Bonuccelli, U, Mancuso, M, Siciliano, G, Moebus, S, Mecocci, P, Del Zompo, M, Maier, W, Hampel, H, Pilotto, A, Frank-Garcia, A, Panza, F, Solfrizzi, V, Caffarra, P, Nacmias, B, Perry, W, Mayhaus, M, Lannfelt, L, Hakonarson, H, Pichler, S, Carrasquillo, MM, Ingelsson, M, Beekly, D, Alvarez, V, Zou, FG, Valladares, O, Younkin, SG, Coto, E, Hamilton-Nelson, KL, Gu, W, Razquin, C, Pastor, P, Mateo, I, Owen, MJ, Faber, KM, Jonsson, PV, Combarros, O, O'Donovan, MC, Cantwell, LB, Soininen, H, Blacker, D, Mead, S, Mosley, TH, Bennett, DA, Harris, TB, Fratiglioni, L, Holmes, C, Bruijn, Renee, Passmore, P, Montine, TJ, Bettens, K, Rotter, JI, Brice, A, Morgan, K, Foroud, TM, Kukull, WA, Hannequin, D, Powell, JF, Nalls, MA, Ritchie, K, Lunetta, KL, Kauwe, JSK, Boerwinkle, E, Riemenschneider, M, Boada, M, Hiltunen, M, Martin, ER, Schmidt, R, Rujescu, D, Dartigues, JF, Mayeux, R, Tzourio, C, Hofman, Bert, Nothen, MM, Graff, C, Psaty, BM, Haines, JL, Lathrop, M, Pericak-Vance, MA, Launer, LJ (Lenore), van Broeckhoven, C, Farrer, LA, Duijn, Cornelia, Ramirez, A, Seshadri, S, Schellenberg, GD, Amouyel, P, Williams, J, Escott-Price, V, Bellenguez, C, Wang, LS (Li-San), Choi, SH, Harold, D, Jones, L, Holmans, P, Gerrish, A, Vedernikov, A, Richards, A, DeStefano, AL, Lambert, JC, Verbaas, Carla, Naj, AC, Sims, R, Jun, G, Bis, JC, Beecham, GW, Grenier-Boley, B, Russo, G, Thornton-Wells, TA, Denning, N, Smith, AV, Chouraki, V, Thomas, C, Ikram, Arfan, Zelenika, D, Vardarajan, BN, Kamatani, Y, Lin, CF, Schmidt, Heléna, Kunkle, B, Dunstan, ML, Vronskaya, M, Johnson, AD, Ruiz, A, Bihoreau, MT, Reitz, C, Pasquier, F, Hollingworth, P, Hanon, O, Fitzpatrick, AL, Buxbaum, JD, Campion, D, Crane, PK, Baldwin, C, Becker, T, Gudnason, V, Cruchaga, C, Craig, D, Amin, Najaf, Berr, C, Lopez, OL, De Jager, PL, Deramecourt, V, Johnston, JA, Evans, D, Lovestone, S, Letenneur, L, Hernandez, I, Rubinsztein, DC, Eiriksdottir, G, Sleegers, K (Kristel), Goate, AM, Fievet, N, Huentelman, MJ, Gill, M, Brown, K, Kamboh, MI, Keller, L, Barberger-Gateau, P, McGuinness, B, Larson, EB, Myers, AJ, Dufouil, C, Todd, S, Wallon, D, Love, S, Rogaeva, E, Gallacher, J, St George-Hyslop, P, Clarimon, J, Lleo, A, Bayer, A, Tsuang, DW, Yu, L, Tsolaki, M, Bossu, P, Spalletta, G, Proitsi, P, Collinge, J, Sorbi, S, Garcia, FS, Fox, NC, Hardy, J, Naranjo, MCD, Bosco, P, Clarke, R, Brayne, C, Galimberti, D, Scarpini, E, Bonuccelli, U, Mancuso, M, Siciliano, G, Moebus, S, Mecocci, P, Del Zompo, M, Maier, W, Hampel, H, Pilotto, A, Frank-Garcia, A, Panza, F, Solfrizzi, V, Caffarra, P, Nacmias, B, Perry, W, Mayhaus, M, Lannfelt, L, Hakonarson, H, Pichler, S, Carrasquillo, MM, Ingelsson, M, Beekly, D, Alvarez, V, Zou, FG, Valladares, O, Younkin, SG, Coto, E, Hamilton-Nelson, KL, Gu, W, Razquin, C, Pastor, P, Mateo, I, Owen, MJ, Faber, KM, Jonsson, PV, Combarros, O, O'Donovan, MC, Cantwell, LB, Soininen, H, Blacker, D, Mead, S, Mosley, TH, Bennett, DA, Harris, TB, Fratiglioni, L, Holmes, C, Bruijn, Renee, Passmore, P, Montine, TJ, Bettens, K, Rotter, JI, Brice, A, Morgan, K, Foroud, TM, Kukull, WA, Hannequin, D, Powell, JF, Nalls, MA, Ritchie, K, Lunetta, KL, Kauwe, JSK, Boerwinkle, E, Riemenschneider, M, Boada, M, Hiltunen, M, Martin, ER, Schmidt, R, Rujescu, D, Dartigues, JF, Mayeux, R, Tzourio, C, Hofman, Bert, Nothen, MM, Graff, C, Psaty, BM, Haines, JL, Lathrop, M, Pericak-Vance, MA, Launer, LJ (Lenore), van Broeckhoven, C, Farrer, LA, Duijn, Cornelia, Ramirez, A, Seshadri, S, Schellenberg, GD, Amouyel, P, and Williams, J
Abstract: Background: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls. Principal Findings: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4x10(-6)) and 14 (IGHV1-67 p = 7.9x10(-8)) which indexed novel susceptibility loci. Significance: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
Published: 2014

14. Evidence that gonadotropin-releasing hormone (GnRH) functions as a prolactin-releasing factor in a teleost fish (Oreochromis mossambicus) and primary structures for three native GnRH molecules

Author: Weber, GM, primary, Powell, JF, additional, Park, M, additional, Fischer, WH, additional, Craig, AG, additional, Rivier, JE, additional, Nanakorn, U, additional, Parhar, IS, additional, Ngamvongchon, S, additional, Grau, EG, additional, and Sherwood, NM, additional
Published: 1997
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15. Education, occupation and retirement age effects on the age of onset of Alzheimer's disease.

Author: Lupton MK, Stahl D, Archer N, Foy C, Poppe M, Lovestone S, Hollingworth P, Williams J, Owen MJ, Dowzell K, Abraham R, Sims R, Brayne C, Rubinsztein D, Gill M, Lawlor B, Lynch A, Powell JF, Lupton, Michelle K, and Stahl, Daniel
Abstract: Objective: To determine the effects of early life education, mid life employment and later life retirement age on the age of onset (AOO) of Alzheimer's disease (AD).Methods: Multiple regression analyses were carried out using data for 1320 probable AD cases, of which 382 were males with employment and retirement age data, using informant based information on education and employment.Results: No relation was found between years of education, best qualification obtained, or employment variables in males and the AOO of AD. A significant effect of later retirement age in delaying the AOO of AD was seen in males.Conclusions: In this study no effect of education or employment was seen, although this may be due to limited variance in the study population. The significant effect of retirement age may have several explanations, the most interesting of which would be the suggestion that active employment later in life allows an individual to prolong their cognitive assets above the threshold for dementia. [ABSTRACT FROM AUTHOR]
Published: 2010
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16. The acute effects of synthetic intravenous Delta9-tetrahydrocannabinol on psychosis, mood and cognitive functioning.

Author: Morrison PD, Zois V, McKeown DA, Lee TD, Holt DW, Powell JF, Kapur S, and Murray RM
Abstract: BACKGROUND: Recent work suggests that heavy use of cannabis is associated with an increased risk of schizophrenia-like psychosis. However, there is a dearth of experimental studies of the effects of the constituents of cannabis, such as Delta9-tetrahydrocannabinol (THC). In a study of intravenous (i.v.) synthetic THC in healthy humans, we aimed to study the relationship of the psychotic symptoms induced by THC to the consequent anxiety and neuropsychological impairment. METHOD: Twenty-two healthy adult males aged 28+/-6 years (mean+/-s.d.) participated in experimental sessions in which i.v. THC (2.5 mg) was administered under double-blind, placebo-controlled conditions. Self-rated and investigator-rated measurements of mood and psychosis [the University of Wales Institute of Science and Technology Mood Adjective Checklist (UMACL), the Positive and Negative Syndrome Scale (PANSS) and the Community Assessment of Psychic Experiences (CAPE)] were made at baseline and at 30, 80 and 120 min post-injection. Participants also completed a series of neuropsychological tests [the Rey Auditory Verbal Learning Task (RAVLT), Digit Span, Verbal Fluency and the Baddeley Reasoning Task] within 45 min of injection. RESULTS: THC-induced positive psychotic symptoms, and participant- and investigator-rated measurements of these were highly correlated. Participants showed an increase in anxiety ratings but there was no relationship between either self- or investigator-rated positive psychotic symptoms and anxiety. THC also impaired neuropsychological performance but once again there was no relationship between THC-induced positive psychotic symptoms and deficits in working memory/executive function. CONCLUSIONS: These findings confirm that THC can induce a transient, acute psychotic reaction in psychiatrically well individuals. The extent of the psychotic reaction was not related to the degree of anxiety or cognitive impairment. [ABSTRACT FROM AUTHOR]
Published: 2009
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17. Vulnerability to depression: what is the role of stress genes in gene x environment interaction?

Author: El Hage W, Powell JF, and Surguladze SA
Abstract: Vulnerability to depression has been linked to the interaction of genetic predisposition with stressful life events. This review considers the associations between serotonergic and hypothalamic-pituitary-adrenal (HPA) systems. We follow the standpoint of a previous Editorial Review (Bhagwagar & Cowen, Psychological Medicine 2008, 38, 307-313) and consider another possible mechanism of vulnerability to depressive disorder, that is we suggest that the gene x environment interaction involves complex participation of serotonergic genes modulating response to stress through the HPA system. [ABSTRACT FROM AUTHOR]
Published: 2009
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18. Glycogen synthase kinase-3beta and tau genes interact in Alzheimer's disease.

Author: Kwok JB, Loy CT, Hamilton G, Lau E, Hallupp M, Williams J, Owen MJ, Broe GA, Tang N, Lam L, Powell JF, Lovestone S, Schofield PR, Kwok, John B J, Loy, Clement T, Hamilton, Gillian, Lau, Edmond, Hallupp, Marianne, Williams, Julie, and Owen, Michael J
Abstract: Objective: We examined the epistatic effect between haplotypes of glycogen synthase kinase-3beta (GSK3B) gene and microtubule-associated protein Tau (MAPT) gene in Alzheimer's disease (AD).Methods: A genetic association study of three AD cohorts was made. Linear regression analyses were used to examine effects of MAPT polymorphisms on gene expression and alternative splicing. beta-Catenin levels and signaling were determined using Western blot and luciferase reporter assays in cells transfected with a combination of GSK3B and MAPT complementary DNA.Results: Consistent interaction between GSK3B and MAPT genes in three late-onset AD cohorts was observed, with the GSK3B haplotype (T-T) significantly increasing the risk for AD in individuals with at least one H2 haplotype (odds ratio, 1.68-2.33; p = 0.005-0.036). The GSK3B haplotype was significantly protective in the Chinese cohort (odds ratio, 0.33; p = 0.016), after adjusting for the effect of age and sex. There are significant differences in in vivo transcriptional efficiency between the two MAPT haplotypes (H1 and H2) as determined by measurement of cerebellar transcripts (p < 0.001). Overexpression of either MAPT or GSK3B resulted in decreased beta-catenin levels compared with a control vector (p < 0.001). Conversely, cotransfection of both of these molecules increased beta-catenin signaling.Interpretation: Our genetic and biochemical analyses have identified a novel interaction between Tau and GSK-3beta in late-onset AD causative factors. Our data are consistent with an epistatic model of interaction where discordant levels of GSK3B and MAPT gene expression can lead to altered beta-catenin levels and pathogenicity. [ABSTRACT FROM AUTHOR]
Published: 2008
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19. Long-term followup of posterior cruciate ligament rupture: a study of 116 cases.

Author: Cross MJ and Powell JF
Published: 1984

20. Radioimmunological Assay of Placental Monoamine Oxidase

Author: Garry K. Brown, Powell Jf, and Ian W. Craig
Subjects: Biochemistry, Monoamine oxidase, Chemistry
Published: 1979

21. Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing

Author: Kunkle, BW, Grenier-Boley, B, Sims, R, Bis, JC, Naj, AC, Boland, A, Vronskaya, M, Van Der Lee, SJ, Amlie-Wolf, A, Bellenguez, C, Frizatti, A, Chouraki, V, Martin, ER, Sleegers, K, Badarinarayan, N, Jakobsdottir, J, Hamilton-Nelson, KL, Aloso, R, Raybould, R, Chen, Y, Kuzma, AB, Hiltunen, M, Morgan, T, Ahmad, S, Vardarajan, BN, Epelbaum, J, Hoffmann, P, Boada, M, Beecham, GW, Garnier, JG, Harold, D, Fitzpatrick, AL, Valladares, O, Moutet, ML, Gerrish, A, Smith, AV, Qu, L, Bacq, D, Denning, N, Jian, X, Zhao, Y, Zompo, MD, Fox, NC, Grove, ML, Choi, SH, Mateo, I, Hughes, JT, Adams, HH, Malamon, J, Garcia, FS, Patel, Y, Brody, JA, Dombroski, B, Naranjo, MCD, Daniilidou, M, Eiriksdottir, G, Mukherjee, S, Wallon, D, Uphill, J, Aspelund, T, Cantwell, LB, Garzia, F, Galimberti, D, Hofer, E, Butkiewics, M, Fin, B, Scarpini, E, Sarnowski, C, Bush, W, Meslage, S, Kornhuber, J, White, CC, Song, Y, Barber, RC, Engelborghs, S, Pichler, S, Voijnovic, D, Adams, PM, Vandenberghe, R, Mayhaus, M, Cupples, LA, Albert, MS, De Deyn, PP, Gu, W, Himali, JJ, Beekly, D, Squassina, A, Hartmann, AM, Orellana, A, Blacker, D, Rodriguez-Rodriguez, E, Lovestone, S, Garcia, ME, Doody, RS, Fernadez, CM, Sussams, R, Lin, H, Fairchild, TJ, Benito, YA, Holmes, C, Comic, H, Frosch, MP, Thonberg, H, Maier, W, Roschupkin, G, Ghetti, B, Giedraitis, V, Kawalia, A, Li, S, Huebinger, RM, Kilander, L, Moebus, S, Hernández, I, Kamboh, MI, Brundin, R, Turton, J, Yang, Q, Katz, MJ, Concari, L, Lord, J, Beiser, AS, Keene, CD, Helisalmi, S, Kloszewska, I, Kukull, WA, Koivisto, AM, Lynch, A, Tarraga, L, Larson, EB, Haapasalo, A, Lawlor, B, Mosley, TH, Lipton, RB, Solfrizzi, V, Gill, M, Longstreth, WT, Montine, TJ, Frisardi, V, Ortega-Cubero, S, Rivadeneira, F, Petersen, RC, Deramecourt, V, Ciaramella, A, Boerwinkle, E, Reiman, EM, Fievet, N, Caltagirone, C, Rotter, JI, Reisch, JS, Hanon, O, Cupidi, C, Uitterlinden, AG, Royall, DR, Dufouil, C, Maletta, RG, Moreno-Grau, S, Sano, M, Brice, A, Cecchetti, R, St George-Hyslop, P, Ritchie, K, Tsolaki, M, Tsuang, DW, Dubois, B, Craig, D, Wu, CK, Soininen, H, Avramidou, D, Albin, RL, Fratiglioni, L, Germanou, A, Apostolova, LG, Keller, L, Koutroumani, M, Arnold, SE, Panza, F, Gkatzima, O, Asthana, S, Hannequin, D, Whitehead, P, Atwood, CS, Caffarra, P, Hampel, H, Baldwin, CT, Lannfelt, L, Rubinsztein, DC, Barnes, LL, Pasquier, F, Frölich, L, Barral, S, McGuinness, B, Beach, TG, Johnston, JI, Becker, JT, Passmore, P, Bigio, EH, Schott, JM, Bird, TD, Warren, JD, Boeve, BF, Lupton, MK, Bowen, JD, Proitsi, P, Boxer, A, Powell, JF, Burke, Kauwe, JK, Burns, JM, Mancuso, M, Buxbaum, JD, Bonuccelli, U, Cairns, NJ, McQuillin, A, Cao, C, Livingston, G, Carlson, CS, Bass, NJ, Carlsson, CM, Hardy, J, Carney, RM, Bras, J, Carrasquillo, MM, Guerreiro, R, Allen, M, Chui, HC, Fisher, E, Cribbs, DH, Masullo, C, Crocco, EA, DeCarli, C, Bisceglio, G, Dick, M, Ma, L, Duara, R, Graff-Radford, NR, Evans, DA, Hodges, A, Faber, KM, Scherer, M, Fallon, KB, Riemenschneider, M, Fardo, DW, Heun, R, Farlow, MR, Ferris, S, Leber, M, Foroud, TM, Heuser, I, Galasko, DR, Giegling, I, Gearing, M, Hüll, M, Geschwind, DH, Gilbert, Morris, J, Green, RC, Mayo, K, Growdon, JH, Feulner, T, Hamilton, RL, Harrell, LE, Drichel, D, Honig, LS, Cushion, TD, Huentelman, MJ, Hollingworth, P, Hulette, CM, Hyman, BT, Marshall, R, Jarvik, GP, Meggy, A, Abner, E, Menzies, G, Jin, LW, Leonenko, G, Jun, G, Grozeva, D, Karydas, A, Russo, G, Kaye, JA, Kim, R, Jessen, F, Kowall, NW, Vellas, B, Kramer, JH, Vardy, E, LaFerla, FM, Jöckel, KH, Lah, JJ, Dichgans, M, Leverenz, JB, Mann, D, Levey, AI, Pickering-Brown, S, Lieberman, AP, Klopp, N, Lunetta, KL, Wichmann, HE, Lyketsos, CG, Morgan, K, Marson, DC, Brown, K, Martiniuk, F, Medway, C, Mash, DC, Nöthen, MM, Masliah, E, Hooper, NM, McCormick, WC, Daniele, A, McCurry, SM, Bayer, A, McDavid, AN, Gallacher, J, McKee, AC, Van Den Bussche, H, Mesulam, M, Brayne, C, Miller, BL, Riedel-Heller, S, Miller, CA, Miller, JW, Al-Chalabi, A, Morris, JC, Shaw, CE, Myers, AJ, Wiltfang, J, O’Bryant, S, Coto, E, Olichney, JM, Alvarez, V, Parisi, JE, Singleton, AB, Paulson, HL, Collinge, J, Perry, W, Mead, S, Peskind, E, Rosser, M, Pierce, A, Ryan, N, Poon, WW, Nacmias, B, Potter, H, Sorbi, S, Quinn, JF, Sacchinelli, E, Raj, A, Spalletta, G, Raskind, M, Bossù, P, Reisberg, B, Clarke, R, Reitz, C, and S, AD
Subjects: 2 Aetiology, Aging, Prevention, Human Genome, 4202 Epidemiology, 42 Health Sciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, 3101 Biochemistry and Cell Biology, Alzheimer's Disease, 3105 Genetics, 3. Good health, Brain Disorders, Clinical Research, FOS: Biological sciences, Neurological, Acquired Cognitive Impairment, Genetics, 2.1 Biological and endogenous factors, Dementia, 31 Biological Sciences
Abstract: Introduction Late-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly 1 , and risk is partially driven by genetics 2 . Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS) 3–8 . To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci ( IQCK , ACE , ADAM10 , and ADAMTS1 ). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants ( P = 1.32 × 10 −7 ) indicating that additional rare variants remain to be identified.

22. Mutations in the gene encoding human persyn are not associated with amyotrophic lateral sclerosis or familial Parkinson's disease

Author: Flowers, Jm, Leigh, Pn, Davies, Am, Ninkina, Nn, Vladimir Buchman, Vaughan, J., Wood, Nw, and Powell, Jf

23. Efferent synaptic connections of grafted dopaminergic neurons reinnervating the host neostriatum: a tyrosine hydroxylase immunocytochemical study

Author: Freund, TF, primary, Bolam, JP, additional, Bjorklund, A, additional, Stenevi, U, additional, Dunnett, SB, additional, Powell, JF, additional, and Smith, AD, additional
Published: 1985
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24. Knowledge, attitude and practice of physicians and nurses at the cape coast teaching hospital in the Central Region of Ghana on spontaneous adverse drug reaction reporting.

Author: Powell JF, Henneh IT, and Ekor M
Subjects: Humans, Male, Female, Cross-Sectional Studies, Health Knowledge, Attitudes, Practice, Ghana, Adverse Drug Reaction Reporting Systems, Hospitals, Teaching, Pharmacovigilance, Physicians, Drug-Related Side Effects and Adverse Reactions, Nurses
Abstract: Ghana's rate of reporting adverse drug reaction (ADRs) over the past years has consistently been below the WHO standard despite utilizing the spontaneous or voluntary reporting system. While underreporting undermines the pharmacovigilance system and poses a huge threat to public health safety, there is limited information on the perspectives of healthcare workers directly involved in drug administration. The present study investigated the knowledge, attitude and practice of physicians and nurses at the Cape Coast Teaching Hospital (CCTH) towards spontaneous reporting of ADRs (SR-ADRs). A descriptive cross-sectional survey was employed in the study. Pre-tested (Cronbach's alpha value of 0.72) and validated questionnaires comprising 37 open-ended and close-ended questions were administered to 44 doctors and 116 nurses at the CCTH who had been practicing for at least six months prior to study. Out of the 160 administered questionnaires, 86 was administered face-to-face and the remaining via e-mails. Descriptive analysis was performed and the results were presented in simple frequencies and percentages. Binary logistic regression model was used to test association of the independent variables with SR-ADRs. With a response rate of 86.4% for physicians and 59.5% for nurses, 38 (35.5%) physicians and 69 (64.5%) nurses completed the questionnaires and returned same. Majority (82.3%, 88) of the respondents knew that it is their responsibility to report ADRs although their knowledge levels was found to be inadequate (that is ≤80%) in majority (66.7%) of the text items that assessed knowledge levels. On the attitude of respondents, it was found that 57% (61) of them agreed that under-reporting was due to complacency whereas 80.4% (86) of them agreed that it was due the lack of adequate training. On the issues of practice, the prevalence of encountering, assisting in the management, and reporting of ADRs were 26.1% (28), 17.8% (19) and 7.5% (8) respectively. Also, nurses were 1.22 times more likely to encounter a patient with ADRs and twice more likely to fill and forward ADR form than doctors during management. Respondents with more than six months but less than one year of practice experience were more likely (AOR = 1.38, 95% CI: 2.72-7.3) to encounter a patient with ADRs as compared to those with just six months of practice experience. Furthermore, male respondents were more likely (AOR = 2.42, 95% CI: 1-5.85) to encounter patients with ADRs but less likely (AOR = 0.49, 95% CI: 0.91-2.6) to fill and forward ADR form compared to their female counterparts. In conclusion, doctors and nurses at the CCTH had inadequate knowledge about ADRs and its existing pharmacovigilance systems, thus accounting for the low spontaneous ADRs reporting in the facility., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Powell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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25. The contribution of Neanderthal introgression and natural selection to neurodegenerative diseases.

Author: Chen Z, Reynolds RH, Pardiñas AF, Gagliano Taliun SA, van Rheenen W, Lin K, Shatunov A, Gustavsson EK, Fogh I, Jones AR, Robberecht W, Corcia P, Chiò A, Shaw PJ, Morrison KE, Veldink JH, van den Berg LH, Shaw CE, Powell JF, Silani V, Hardy JA, Houlden H, Owen MJ, Turner MR, Ryten M, and Al-Chalabi A
Subjects: Animals, Humans, Selection, Genetic, Neanderthals genetics, Neurodegenerative Diseases genetics, Alzheimer Disease, Parkinson Disease, Amyotrophic Lateral Sclerosis
Abstract: Humans are thought to be more susceptible to neurodegeneration than equivalently-aged primates. It is not known whether this vulnerability is specific to anatomically-modern humans or shared with other hominids. The contribution of introgressed Neanderthal DNA to neurodegenerative disorders remains uncertain. It is also unclear how common variants associated with neurodegenerative disease risk are maintained by natural selection in the population despite their deleterious effects. In this study, we aimed to quantify the genome-wide contribution of Neanderthal introgression and positive selection to the heritability of complex neurodegenerative disorders to address these questions. We used stratified-linkage disequilibrium score regression to investigate the relationship between five SNP-based signatures of natural selection, reflecting different timepoints of evolution, and genome-wide associated variants of the three most prevalent neurodegenerative disorders: Alzheimer's disease, amyotrophic lateral sclerosis and Parkinson's disease. We found no evidence for enrichment of positively-selected SNPs in the heritability of Alzheimer's disease, amyotrophic lateral sclerosis and Parkinson's disease, suggesting that common deleterious disease variants are unlikely to be maintained by positive selection. There was no enrichment of Neanderthal introgression in the SNP-heritability of these disorders, suggesting that Neanderthal admixture is unlikely to have contributed to disease risk. These findings provide insight into the origins of neurodegenerative disorders within the evolution of Homo sapiens and addresses a long-standing debate, showing that Neanderthal admixture is unlikely to have contributed to common genetic risk of neurodegeneration in anatomically-modern humans., (Copyright © 2023. Published by Elsevier Inc.)
Published: 2023
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26. A randomized controlled trial with a delayed-type hypersensitivity model using keyhole limpet haemocyanin to evaluate adaptive immune responses in man.

Author: Saghari M, Gal P, Ziagkos D, Burggraaf J, Powell JF, Brennan N, Rissmann R, van Doorn MBA, and Moerland M
Subjects: Antibody Formation, Humans, Immunization, Male, T-Lymphocytes, Vaccination, Hemocyanins, Immunoglobulin G
Abstract: Aims: Keyhole limpet haemocyanin (KLH) immunization is a clinical model for the evaluation of human antibody responses. The current study evaluated the anti-KLH antibody response after KLH immunization and the delayed-type hypersensitivity response following intradermal KLH administration, using objective imaging techniques., Methods: Healthy male subjects aged 24.5 ± 5.4 years were randomized to intramuscular immunization with 100 μg KLH (n = 12) or placebo (n = 3). Anti-KLH antibody (Ig) M and IgG titres were determined before and every 7 days after KLH immunization for a total of 28 days. Twenty-one days after the immunization, all subjects received 1 μg KLH intradermally. Prior to and 2 days after intradermal KLH administration, skin blood perfusion, erythema and oedema were quantified using noninvasive imaging tools. Repeated measures ANCOVAs were used to analyse data., Results: Anti-KLH IgM and IgG titres increased after KLH immunization compared to placebo (estimated difference [ED]: 37%, 95% confidence interval [CI]: 19-51% and ED: 68%, 95% CI: 56-76% respectively). Upon intradermal KLH administration an increase in skin blood perfusion (ED: 10.9 arbitrary units (AU), 95% CI: 1.4-20.4 AU) and erythema (ED: 0.3 AU, 95% CI: 0.1-0.5 AU) was observed in KLH-immunized subjects compared to placebo., Conclusion: KLH immunization followed by intradermal KLH administration resulted in increased anti-KLH IgM and IgG titres and a delayed-type hypersensitivity response quantified by an increase in skin blood perfusion and erythema. Using noninvasive imaging tools the KLH model has the potential to serve as an objective tool to study the pharmacodynamics of T-cell-directed immunomodulatory drugs., (© 2020 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd.)
Published: 2021
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27. Author Correction: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing.

Author: Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, Boland A, Vronskaya M, van der Lee SJ, Amlie-Wolf A, Bellenguez C, Frizatti A, Chouraki V, Martin ER, Sleegers K, Badarinarayan N, Jakobsdottir J, Hamilton-Nelson KL, Moreno-Grau S, Olaso R, Raybould R, Chen Y, Kuzma AB, Hiltunen M, Morgan T, Ahmad S, Vardarajan BN, Epelbaum J, Hoffmann P, Boada M, Beecham GW, Garnier JG, Harold D, Fitzpatrick AL, Valladares O, Moutet ML, Gerrish A, Smith AV, Qu L, Bacq D, Denning N, Jian X, Zhao Y, Del Zompo M, Fox NC, Choi SH, Mateo I, Hughes JT, Adams HH, Malamon J, Sanchez-Garcia F, Patel Y, Brody JA, Dombroski BA, Naranjo MCD, Daniilidou M, Eiriksdottir G, Mukherjee S, Wallon D, Uphill J, Aspelund T, Cantwell LB, Garzia F, Galimberti D, Hofer E, Butkiewicz M, Fin B, Scarpini E, Sarnowski C, Bush WS, Meslage S, Kornhuber J, White CC, Song Y, Barber RC, Engelborghs S, Sordon S, Voijnovic D, Adams PM, Vandenberghe R, Mayhaus M, Cupples LA, Albert MS, De Deyn PP, Gu W, Himali JJ, Beekly D, Squassina A, Hartmann AM, Orellana A, Blacker D, Rodriguez-Rodriguez E, Lovestone S, Garcia ME, Doody RS, Munoz-Fernadez C, Sussams R, Lin H, Fairchild TJ, Benito YA, Holmes C, Karamujić-Čomić H, Frosch MP, Thonberg H, Maier W, Roshchupkin G, Ghetti B, Giedraitis V, Kawalia A, Li S, Huebinger RM, Kilander L, Moebus S, Hernández I, Kamboh MI, Brundin R, Turton J, Yang Q, Katz MJ, Concari L, Lord J, Beiser AS, Keene CD, Helisalmi S, Kloszewska I, Kukull WA, Koivisto AM, Lynch A, Tarraga L, Larson EB, Haapasalo A, Lawlor B, Mosley TH, Lipton RB, Solfrizzi V, Gill M, Longstreth WT Jr, Montine TJ, Frisardi V, Diez-Fairen M, Rivadeneira F, Petersen RC, Deramecourt V, Alvarez I, Salani F, Ciaramella A, Boerwinkle E, Reiman EM, Fievet N, Rotter JI, Reisch JS, Hanon O, Cupidi C, Uitterlinden AGA, Royall DR, Dufouil C, Maletta RG, de Rojas I, Sano M, Brice A, Cecchetti R, George-Hyslop PS, Ritchie K, Tsolaki M, Tsuang DW, Dubois B, Craig D, Wu CK, Soininen H, Avramidou D, Albin RL, Fratiglioni L, Germanou A, Apostolova LG, Keller L, Koutroumani M, Arnold SE, Panza F, Gkatzima O, Asthana S, Hannequin D, Whitehead P, Atwood CS, Caffarra P, Hampel H, Quintela I, Carracedo Á, Lannfelt L, Rubinsztein DC, Barnes LL, Pasquier F, Frölich L, Barral S, McGuinness B, Beach TG, Johnston JA, Becker JT, Passmore P, Bigio EH, Schott JM, Bird TD, Warren JD, Boeve BF, Lupton MK, Bowen JD, Proitsi P, Boxer A, Powell JF, Burke JR, Kauwe JSK, Burns JM, Mancuso M, Buxbaum JD, Bonuccelli U, Cairns NJ, McQuillin A, Cao C, Livingston G, Carlson CS, Bass NJ, Carlsson CM, Hardy J, Carney RM, Bras J, Carrasquillo MM, Guerreiro R, Allen M, Chui HC, Fisher E, Masullo C, Crocco EA, DeCarli C, Bisceglio G, Dick M, Ma L, Duara R, Graff-Radford NR, Evans DA, Hodges A, Faber KM, Scherer M, Fallon KB, Riemenschneider M, Fardo DW, Heun R, Farlow MR, Kölsch H, Ferris S, Leber M, Foroud TM, Heuser I, Galasko DR, Giegling I, Gearing M, Hüll M, Geschwind DH, Gilbert JR, Morris J, Green RC, Mayo K, Growdon JH, Feulner T, Hamilton RL, Harrell LE, Drichel D, Honig LS, Cushion TD, Huentelman MJ, Hollingworth P, Hulette CM, Hyman BT, Marshall R, Jarvik GP, Meggy A, Abner E, Menzies GE, Jin LW, Leonenko G, Real LM, Jun GR, Baldwin CT, Grozeva D, Karydas A, Russo G, Kaye JA, Kim R, Jessen F, Kowall NW, Vellas B, Kramer JH, Vardy E, LaFerla FM, Jöckel KH, Lah JJ, Dichgans M, Leverenz JB, Mann D, Levey AI, Pickering-Brown S, Lieberman AP, Klopp N, Lunetta KL, Wichmann HE, Lyketsos CG, Morgan K, Marson DC, Brown K, Martiniuk F, Medway C, Mash DC, Nöthen MM, Masliah E, Hooper NM, McCormick WC, Daniele A, McCurry SM, Bayer A, McDavid AN, Gallacher J, McKee AC, van den Bussche H, Mesulam M, Brayne C, Miller BL, Riedel-Heller S, Miller CA, Miller JW, Al-Chalabi A, Morris JC, Shaw CE, Myers AJ, Wiltfang J, O'Bryant S, Olichney JM, Alvarez V, Parisi JE, Singleton AB, Paulson HL, Collinge J, Perry WR, Mead S, Peskind E, Cribbs DH, Rossor M, Pierce A, Ryan NS, Poon WW, Nacmias B, Potter H, Sorbi S, Quinn JF, Sacchinelli E, Raj A, Spalletta G, Raskind M, Caltagirone C, Bossù P, Orfei MD, Reisberg B, Clarke R, Reitz C, Smith AD, Ringman JM, Warden D, Roberson ED, Wilcock G, Rogaeva E, Bruni AC, Rosen HJ, Gallo M, Rosenberg RN, Ben-Shlomo Y, Sager MA, Mecocci P, Saykin AJ, Pastor P, Cuccaro ML, Vance JM, Schneider JA, Schneider LS, Slifer S, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tang M, Tanzi RE, Trojanowski JQ, Troncoso JC, Van Deerlin VM, Van Eldik LJ, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Wilhelmsen KC, Williamson J, Wingo TS, Woltjer RL, Wright CB, Yu CE, Yu L, Saba Y, Pilotto A, Bullido MJ, Peters O, Crane PK, Bennett D, Bosco P, Coto E, Boccardi V, De Jager PL, Lleo A, Warner N, Lopez OL, Ingelsson M, Deloukas P, Cruchaga C, Graff C, Gwilliam R, Fornage M, Goate AM, Sanchez-Juan P, Kehoe PG, Amin N, Ertekin-Taner N, Berr C, Debette S, Love S, Launer LJ, Younkin SG, Dartigues JF, Corcoran C, Ikram MA, Dickson DW, Nicolas G, Campion D, Tschanz J, Schmidt H, Hakonarson H, Clarimon J, Munger R, Schmidt R, Farrer LA, Van Broeckhoven C, O'Donovan MC, DeStefano AL, Jones L, Haines JL, Deleuze JF, Owen MJ, Gudnason V, Mayeux R, Escott-Price V, Psaty BM, Ramirez A, Wang LS, Ruiz A, van Duijn CM, Holmans PA, Seshadri S, Williams J, Amouyel P, Schellenberg GD, Lambert JC, and Pericak-Vance MA
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2019
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28. Telomere length is greater in ALS than in controls: a whole genome sequencing study.

Author: Al Khleifat A, Iacoangeli A, Shatunov A, Fang T, Sproviero W, Jones AR, Opie-Martin S, Morrison KE, Shaw PJ, Shaw CE, Powell JF, Dobson R, Newhouse SJ, and Al-Chalabi A
Subjects: Age of Onset, Aged, Amyotrophic Lateral Sclerosis genetics, Case-Control Studies, Computational Biology, DNA chemistry, Female, Genetic Variation, Humans, Introns genetics, Leukocytes chemistry, Male, Middle Aged, Polymorphism, Single Nucleotide, Survival Analysis, Telomere genetics, Whole Genome Sequencing, Amyotrophic Lateral Sclerosis pathology, Telomere ultrastructure
Abstract: Background: Amyotrophic lateral sclerosis is a neurodegenerative disease of motor neurons resulting in progressive paralysis and death, typically within 3-5 years. Although the heritability of ALS is about 60%, only about 11% is explained by common gene variants, suggesting that other forms of genetic variation are important. Telomeres maintain DNA integrity during cellular replication and shorten naturally with age. Gender and age are risk factors for ALS and also associated with telomere length. We therefore investigated telomere length in ALS. Methods: We estimated telomere length by applying a bioinformatics analysis to whole genome sequence data of leukocyte-derived DNA from people with ALS and age and gender-matched matched controls in a UK population. We tested the association of telomere length with ALS and ALS survival. Results: There were 1241 people with ALS and 335 controls. The median age for ALS was 62.5 years and for controls, 60.1 years, with a male-female ratio of 62:38. Accounting for age and sex, there was a 9% increase of telomere length in ALS compared to matched controls. Those with longer telomeres had a 16% increase in median survival. Of nine SNPs associated with telomere length, two were also associated with ALS: rs8105767 near the ZNF208 gene ( p = 1.29 × 10 -4 ) and rs6772228 ( p = 0.001), which is in an intron for the PXK gene. Conclusions: Longer telomeres in leukocyte-derived DNA are associated with ALS, and with increased survival in those with ALS.
Published: 2019
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29. Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing.

Author: Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, Boland A, Vronskaya M, van der Lee SJ, Amlie-Wolf A, Bellenguez C, Frizatti A, Chouraki V, Martin ER, Sleegers K, Badarinarayan N, Jakobsdottir J, Hamilton-Nelson KL, Moreno-Grau S, Olaso R, Raybould R, Chen Y, Kuzma AB, Hiltunen M, Morgan T, Ahmad S, Vardarajan BN, Epelbaum J, Hoffmann P, Boada M, Beecham GW, Garnier JG, Harold D, Fitzpatrick AL, Valladares O, Moutet ML, Gerrish A, Smith AV, Qu L, Bacq D, Denning N, Jian X, Zhao Y, Del Zompo M, Fox NC, Choi SH, Mateo I, Hughes JT, Adams HH, Malamon J, Sanchez-Garcia F, Patel Y, Brody JA, Dombroski BA, Naranjo MCD, Daniilidou M, Eiriksdottir G, Mukherjee S, Wallon D, Uphill J, Aspelund T, Cantwell LB, Garzia F, Galimberti D, Hofer E, Butkiewicz M, Fin B, Scarpini E, Sarnowski C, Bush WS, Meslage S, Kornhuber J, White CC, Song Y, Barber RC, Engelborghs S, Sordon S, Voijnovic D, Adams PM, Vandenberghe R, Mayhaus M, Cupples LA, Albert MS, De Deyn PP, Gu W, Himali JJ, Beekly D, Squassina A, Hartmann AM, Orellana A, Blacker D, Rodriguez-Rodriguez E, Lovestone S, Garcia ME, Doody RS, Munoz-Fernadez C, Sussams R, Lin H, Fairchild TJ, Benito YA, Holmes C, Karamujić-Čomić H, Frosch MP, Thonberg H, Maier W, Roshchupkin G, Ghetti B, Giedraitis V, Kawalia A, Li S, Huebinger RM, Kilander L, Moebus S, Hernández I, Kamboh MI, Brundin R, Turton J, Yang Q, Katz MJ, Concari L, Lord J, Beiser AS, Keene CD, Helisalmi S, Kloszewska I, Kukull WA, Koivisto AM, Lynch A, Tarraga L, Larson EB, Haapasalo A, Lawlor B, Mosley TH, Lipton RB, Solfrizzi V, Gill M, Longstreth WT Jr, Montine TJ, Frisardi V, Diez-Fairen M, Rivadeneira F, Petersen RC, Deramecourt V, Alvarez I, Salani F, Ciaramella A, Boerwinkle E, Reiman EM, Fievet N, Rotter JI, Reisch JS, Hanon O, Cupidi C, Andre Uitterlinden AG, Royall DR, Dufouil C, Maletta RG, de Rojas I, Sano M, Brice A, Cecchetti R, George-Hyslop PS, Ritchie K, Tsolaki M, Tsuang DW, Dubois B, Craig D, Wu CK, Soininen H, Avramidou D, Albin RL, Fratiglioni L, Germanou A, Apostolova LG, Keller L, Koutroumani M, Arnold SE, Panza F, Gkatzima O, Asthana S, Hannequin D, Whitehead P, Atwood CS, Caffarra P, Hampel H, Quintela I, Carracedo Á, Lannfelt L, Rubinsztein DC, Barnes LL, Pasquier F, Frölich L, Barral S, McGuinness B, Beach TG, Johnston JA, Becker JT, Passmore P, Bigio EH, Schott JM, Bird TD, Warren JD, Boeve BF, Lupton MK, Bowen JD, Proitsi P, Boxer A, Powell JF, Burke JR, Kauwe JSK, Burns JM, Mancuso M, Buxbaum JD, Bonuccelli U, Cairns NJ, McQuillin A, Cao C, Livingston G, Carlson CS, Bass NJ, Carlsson CM, Hardy J, Carney RM, Bras J, Carrasquillo MM, Guerreiro R, Allen M, Chui HC, Fisher E, Masullo C, Crocco EA, DeCarli C, Bisceglio G, Dick M, Ma L, Duara R, Graff-Radford NR, Evans DA, Hodges A, Faber KM, Scherer M, Fallon KB, Riemenschneider M, Fardo DW, Heun R, Farlow MR, Kölsch H, Ferris S, Leber M, Foroud TM, Heuser I, Galasko DR, Giegling I, Gearing M, Hüll M, Geschwind DH, Gilbert JR, Morris J, Green RC, Mayo K, Growdon JH, Feulner T, Hamilton RL, Harrell LE, Drichel D, Honig LS, Cushion TD, Huentelman MJ, Hollingworth P, Hulette CM, Hyman BT, Marshall R, Jarvik GP, Meggy A, Abner E, Menzies GE, Jin LW, Leonenko G, Real LM, Jun GR, Baldwin CT, Grozeva D, Karydas A, Russo G, Kaye JA, Kim R, Jessen F, Kowall NW, Vellas B, Kramer JH, Vardy E, LaFerla FM, Jöckel KH, Lah JJ, Dichgans M, Leverenz JB, Mann D, Levey AI, Pickering-Brown S, Lieberman AP, Klopp N, Lunetta KL, Wichmann HE, Lyketsos CG, Morgan K, Marson DC, Brown K, Martiniuk F, Medway C, Mash DC, Nöthen MM, Masliah E, Hooper NM, McCormick WC, Daniele A, McCurry SM, Bayer A, McDavid AN, Gallacher J, McKee AC, van den Bussche H, Mesulam M, Brayne C, Miller BL, Riedel-Heller S, Miller CA, Miller JW, Al-Chalabi A, Morris JC, Shaw CE, Myers AJ, Wiltfang J, O'Bryant S, Olichney JM, Alvarez V, Parisi JE, Singleton AB, Paulson HL, Collinge J, Perry WR, Mead S, Peskind E, Cribbs DH, Rossor M, Pierce A, Ryan NS, Poon WW, Nacmias B, Potter H, Sorbi S, Quinn JF, Sacchinelli E, Raj A, Spalletta G, Raskind M, Caltagirone C, Bossù P, Orfei MD, Reisberg B, Clarke R, Reitz C, Smith AD, Ringman JM, Warden D, Roberson ED, Wilcock G, Rogaeva E, Bruni AC, Rosen HJ, Gallo M, Rosenberg RN, Ben-Shlomo Y, Sager MA, Mecocci P, Saykin AJ, Pastor P, Cuccaro ML, Vance JM, Schneider JA, Schneider LS, Slifer S, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tang M, Tanzi RE, Trojanowski JQ, Troncoso JC, Van Deerlin VM, Van Eldik LJ, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Wilhelmsen KC, Williamson J, Wingo TS, Woltjer RL, Wright CB, Yu CE, Yu L, Saba Y, Pilotto A, Bullido MJ, Peters O, Crane PK, Bennett D, Bosco P, Coto E, Boccardi V, De Jager PL, Lleo A, Warner N, Lopez OL, Ingelsson M, Deloukas P, Cruchaga C, Graff C, Gwilliam R, Fornage M, Goate AM, Sanchez-Juan P, Kehoe PG, Amin N, Ertekin-Taner N, Berr C, Debette S, Love S, Launer LJ, Younkin SG, Dartigues JF, Corcoran C, Ikram MA, Dickson DW, Nicolas G, Campion D, Tschanz J, Schmidt H, Hakonarson H, Clarimon J, Munger R, Schmidt R, Farrer LA, Van Broeckhoven C, C O'Donovan M, DeStefano AL, Jones L, Haines JL, Deleuze JF, Owen MJ, Gudnason V, Mayeux R, Escott-Price V, Psaty BM, Ramirez A, Wang LS, Ruiz A, van Duijn CM, Holmans PA, Seshadri S, Williams J, Amouyel P, Schellenberg GD, Lambert JC, and Pericak-Vance MA
Subjects: Aged, Case-Control Studies, Female, Genetic Testing methods, Genome-Wide Association Study methods, Haplotypes genetics, Humans, Lipid Metabolism genetics, Male, Alzheimer Disease genetics, Amyloid beta-Peptides genetics, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Immunity genetics, Lipids genetics, tau Proteins genetics
Abstract: Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10 -7 ), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.
Published: 2019
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30. Mendelian adult-onset leukodystrophy genes in Alzheimer's disease: critical influence of CSF1R and NOTCH3.

Author: Sassi C, Nalls MA, Ridge PG, Gibbs JR, Lupton MK, Troakes C, Lunnon K, Al-Sarraj S, Brown KS, Medway C, Lord J, Turton J, Bras J, Blumenau S, Thielke M, Josties C, Freyer D, Dietrich A, Hammer M, Baier M, Dirnagl U, Morgan K, Powell JF, Kauwe JS, Cruchaga C, Goate AM, Singleton AB, Guerreiro R, Hodges A, and Hardy J
Subjects: Aged, Aged, 80 and over, Aging genetics, Aging metabolism, Animals, Cerebral Cortex metabolism, Cohort Studies, Female, Hippocampus metabolism, Humans, Male, Mice, Middle Aged, Risk Factors, White People, Alzheimer Disease genetics, Genetic Association Studies, Leukodystrophy, Metachromatic genetics, Mutation, Receptor, Notch3 genetics, Receptors, Granulocyte-Macrophage Colony-Stimulating Factor genetics
Abstract: Mendelian adult-onset leukodystrophies are a spectrum of rare inherited progressive neurodegenerative disorders affecting the white matter of the central nervous system. Among these, cerebral autosomal dominant and recessive arteriopathy with subcortical infarcts and leukoencephalopathy, cerebroretinal vasculopathy, metachromatic leukodystrophy, hereditary diffuse leukoencephalopathy with spheroids, and vanishing white matter disease present with rapidly progressive dementia as dominant feature and are caused by mutations in NOTCH3, HTRA1, TREX1, ARSA, CSF1R, EIF2B1, EIF2B2, EIF2B3, EIF2B4, and EIF2B5, respectively. Given the rare incidence of these disorders and the lack of unequivocally diagnostic features, leukodystrophies are frequently misdiagnosed with common sporadic dementing diseases such as Alzheimer's disease (AD), raising the question of whether these overlapping phenotypes may be explained by shared genetic risk factors. To investigate this intriguing hypothesis, we have combined gene expression analysis (1) in 6 different AD mouse strains (APPPS1, HOTASTPM, HETASTPM, TPM, TAS10, and TAU) at 5 different developmental stages (embryo [E15], 2, 4, 8, and 18 months), (2) in APPPS1 primary cortical neurons under stress conditions (oxygen-glucose deprivation) and single-variant-based and single-gene-based (c-alpha test and sequence kernel association test (SKAT)) genetic screening in a cohort composed of 332 Caucasian late-onset AD patients and 676 Caucasian elderly controls. Csf1r was significantly overexpressed (log2FC > 1, adj. p-value < 0.05) in the cortex and hippocampus of aged HOTASTPM mice with extensive Aβ dense-core plaque pathology. We identified 3 likely pathogenic mutations in CSF1R TK domain (p.L868R, p.Q691H, and p.H703Y) in our discovery and validation cohort, composed of 465 AD and mild cognitive impairment (MCI) Caucasian patients from the United Kingdom. Moreover, NOTCH3 was a significant hit in the c-alpha test (adj p-value = 0.01). Adult-onset Mendelian leukodystrophy genes are not common factors implicated in AD. Nevertheless, our study suggests a potential pathogenic link between NOTCH3, CSF1R, and sporadic late-onset AD, which warrants further investigation., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2018
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31. Rheumatoid arthritis and risk for Alzheimer's disease: a systematic review and meta-analysis and a Mendelian Randomization study.

Author: Policicchio S, Ahmad AN, Powell JF, and Proitsi P
Subjects: Genetic Heterogeneity, Humans, Publication Bias, Risk Factors, Alzheimer Disease genetics, Arthritis, Rheumatoid complications, Arthritis, Rheumatoid genetics, Mendelian Randomization Analysis
Abstract: Rheumatoid arthritis (RA) patients have been observed to be at a lower risk of developing Alzheimer's Disease (AD). Clinical trials have showed no relationship between nonsteroidal anti-inflammatory drug (NSAID) use and AD. The aim of this study was to establish if there is a causal link between RA and AD. A systematic literature review on RA incidence and its link to AD was carried out according to the PRISMA guidelines. Eight case-control and two population-based studies were included in a random effects meta-analysis. The causal relationship between RA and AD was assessed using Mendelian Randomization (MR), using summary data from the largest RA and AD Genome Wide Association (GWA) and meta-analysis studies to date using a score of 62 RA risk SNPs (p < 5 * 10 -8 ) as instrumental variable (IV). Meta-analysis of the literature showed that RA was associated with lower AD incidence (OR = 0.600, 95% CI 0.46-0.77, p = 1.03 * 10 -4 ). On the contrary, MR analysis did not show any evidence of a causal association between RA and AD (OR = 1.012, 95% CI 0.98-1.04). Although there is epidemiological evidence for an association of RA with lower AD incidence, this association does not appear to be causal. Possible explanations for this discrepancy could include influence from confounding factors such as use of RA medication, selection bias and differential RA diagnosis.
Published: 2017
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32. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.

Author: Haycock PC, Burgess S, Nounu A, Zheng J, Okoli GN, Bowden J, Wade KH, Timpson NJ, Evans DM, Willeit P, Aviv A, Gaunt TR, Hemani G, Mangino M, Ellis HP, Kurian KM, Pooley KA, Eeles RA, Lee JE, Fang S, Chen WV, Law MH, Bowdler LM, Iles MM, Yang Q, Worrall BB, Markus HS, Hung RJ, Amos CI, Spurdle AB, Thompson DJ, O'Mara TA, Wolpin B, Amundadottir L, Stolzenberg-Solomon R, Trichopoulou A, Onland-Moret NC, Lund E, Duell EJ, Canzian F, Severi G, Overvad K, Gunter MJ, Tumino R, Svenson U, van Rij A, Baas AF, Bown MJ, Samani NJ, van t'Hof FNG, Tromp G, Jones GT, Kuivaniemi H, Elmore JR, Johansson M, Mckay J, Scelo G, Carreras-Torres R, Gaborieau V, Brennan P, Bracci PM, Neale RE, Olson SH, Gallinger S, Li D, Petersen GM, Risch HA, Klein AP, Han J, Abnet CC, Freedman ND, Taylor PR, Maris JM, Aben KK, Kiemeney LA, Vermeulen SH, Wiencke JK, Walsh KM, Wrensch M, Rice T, Turnbull C, Litchfield K, Paternoster L, Standl M, Abecasis GR, SanGiovanni JP, Li Y, Mijatovic V, Sapkota Y, Low SK, Zondervan KT, Montgomery GW, Nyholt DR, van Heel DA, Hunt K, Arking DE, Ashar FN, Sotoodehnia N, Woo D, Rosand J, Comeau ME, Brown WM, Silverman EK, Hokanson JE, Cho MH, Hui J, Ferreira MA, Thompson PJ, Morrison AC, Felix JF, Smith NL, Christiano AM, Petukhova L, Betz RC, Fan X, Zhang X, Zhu C, Langefeld CD, Thompson SD, Wang F, Lin X, Schwartz DA, Fingerlin T, Rotter JI, Cotch MF, Jensen RA, Munz M, Dommisch H, Schaefer AS, Han F, Ollila HM, Hillary RP, Albagha O, Ralston SH, Zeng C, Zheng W, Shu XO, Reis A, Uebe S, Hüffmeier U, Kawamura Y, Otowa T, Sasaki T, Hibberd ML, Davila S, Xie G, Siminovitch K, Bei JX, Zeng YX, Försti A, Chen B, Landi S, Franke A, Fischer A, Ellinghaus D, Flores C, Noth I, Ma SF, Foo JN, Liu J, Kim JW, Cox DG, Delattre O, Mirabeau O, Skibola CF, Tang CS, Garcia-Barcelo M, Chang KP, Su WH, Chang YS, Martin NG, Gordon S, Wade TD, Lee C, Kubo M, Cha PC, Nakamura Y, Levy D, Kimura M, Hwang SJ, Hunt S, Spector T, Soranzo N, Manichaikul AW, Barr RG, Kahali B, Speliotes E, Yerges-Armstrong LM, Cheng CY, Jonas JB, Wong TY, Fogh I, Lin K, Powell JF, Rice K, Relton CL, Martin RM, and Davey Smith G
Subjects: Adult, Aged, Aged, 80 and over, Cardiovascular Diseases genetics, Female, Genome-Wide Association Study, Germ-Line Mutation, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment methods, Telomere genetics, Genetic Predisposition to Disease genetics, Mendelian Randomization Analysis methods, Neoplasms genetics, Telomere Homeostasis genetics
Abstract: Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation., Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases., Data Sources: Genomewide association studies (GWAS) published up to January 15, 2015., Study Selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available., Data Extraction and Synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population., Main Outcomes and Measures: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation., Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95% CI, 0.05-0.15])., Conclusions and Relevance: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.
Published: 2017
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33. ATXN2 trinucleotide repeat length correlates with risk of ALS.

Author: Sproviero W, Shatunov A, Stahl D, Shoai M, van Rheenen W, Jones AR, Al-Sarraj S, Andersen PM, Bonini NM, Conforti FL, Van Damme P, Daoud H, Del Mar Amador M, Fogh I, Forzan M, Gaastra B, Gellera C, Gitler AD, Hardy J, Fratta P, La Bella V, Le Ber I, Van Langenhove T, Lattante S, Lee YC, Malaspina A, Meininger V, Millecamps S, Orrell R, Rademakers R, Robberecht W, Rouleau G, Ross OA, Salachas F, Sidle K, Smith BN, Soong BW, Sorarù G, Stevanin G, Kabashi E, Troakes C, van Broeckhoven C, Veldink JH, van den Berg LH, Shaw CE, Powell JF, and Al-Chalabi A
Subjects: Age of Onset, Alleles, Case-Control Studies, Female, Humans, Male, Risk, Amyotrophic Lateral Sclerosis genetics, Ataxin-2 genetics, Genetic Association Studies, Trinucleotide Repeat Expansion genetics, Trinucleotide Repeats genetics
Abstract: We investigated a CAG trinucleotide repeat expansion in the ATXN2 gene in amyotrophic lateral sclerosis (ALS). Two new case-control studies, a British dataset of 1474 ALS cases and 567 controls, and a Dutch dataset of 1328 ALS cases and 691 controls were analyzed. In addition, to increase power, we systematically searched PubMed for case-control studies published after 1 August 2010 that investigated the association between ATXN2 intermediate repeats and ALS. We conducted a meta-analysis of the new and existing studies for the relative risks of ATXN2 intermediate repeat alleles of between 24 and 34 CAG trinucleotide repeats and ALS. There was an overall increased risk of ALS for those carrying intermediate sized trinucleotide repeat alleles (odds ratio 3.06 [95% confidence interval 2.37-3.94]; p = 6 × 10 -18 ), with an exponential relationship between repeat length and ALS risk for alleles of 29-32 repeats (R 2 = 0.91, p = 0.0002). No relationship was seen for repeat length and age of onset or survival. In contrast to trinucleotide repeat diseases, intermediate ATXN2 trinucleotide repeat expansion in ALS does not predict age of onset but does predict disease risk., (Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved.)
Published: 2017
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34. Association of blood lipids with Alzheimer's disease: A comprehensive lipidomics analysis.

Author: Proitsi P, Kim M, Whiley L, Simmons A, Sattlecker M, Velayudhan L, Lupton MK, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Powell JF, Dobson RJ, and Legido-Quigley C
Subjects: Aged, Alzheimer Disease diagnostic imaging, Atrophy, Biomarkers blood, Cohort Studies, Disease Progression, Entorhinal Cortex diagnostic imaging, Female, Hippocampus diagnostic imaging, Humans, Magnetic Resonance Imaging, Male, Multivariate Analysis, Regression Analysis, Alzheimer Disease blood, Lipids blood
Abstract: Introduction: The aim of this study was to (1) replicate previous associations between six blood lipids and Alzheimer's disease (AD) (Proitsi et al 2015) and (2) identify novel associations between lipids, clinical AD diagnosis, disease progression and brain atrophy (left/right hippocampus/entorhinal cortex)., Methods: We performed untargeted lipidomic analysis on 148 AD and 152 elderly control plasma samples and used univariate and multivariate analysis methods., Results: We replicated our previous lipids associations and reported novel associations between lipids molecules and all phenotypes. A combination of 24 molecules classified AD patients with >70% accuracy in a test and a validation data set, and we identified lipid signatures that predicted disease progression (R 2 = 0.10, test data set) and brain atrophy (R 2 ≥ 0.14, all test data sets except left entorhinal cortex). We putatively identified a number of metabolic features including cholesteryl esters/triglycerides and phosphatidylcholines., Discussion: Blood lipids are promising AD biomarkers that may lead to new treatment strategies., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2017
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35. No Genetic Overlap Between Circulating Iron Levels and Alzheimer's Disease.

Author: Lupton MK, Benyamin B, Proitsi P, Nyholt DR, Ferreira MA, Montgomery GW, Heath AC, Madden PA, Medland SE, Gordon SD, Lovestone S, Tsolaki M, Kloszewska I, Soininen H, Mecocci P, Vellas B, Powell JF, Bush AI, Wright MJ, Martin NG, and Whitfield JB
Subjects: Aged, Aged, 80 and over, Alzheimer Disease genetics, Apolipoproteins E genetics, Cohort Studies, Community Health Planning, Female, Genetic Association Studies statistics & numerical data, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide genetics, Alzheimer Disease blood, Ferritins blood, Iron blood, Transferrin metabolism
Abstract: Iron deposition in the brain is a prominent feature of Alzheimer's disease (AD). Recently, peripheral iron measures have also been shown to be associated with AD status. However, it is not known whether these associations are causal: do elevated or depleted iron levels throughout life have an effect on AD risk? We evaluate the effects of peripheral iron on AD risk using a genetic profile score approach by testing whether variants affecting iron, transferrin, or ferritin levels selected from GWAS meta-analysis of approximately 24,000 individuals are also associated with AD risk in an independent case-control cohort (n∼10,000). Conversely, we test whether AD risk variants from a GWAS meta-analysis of approximately 54,000 account for any variance in iron measures (n∼9,000). We do not identify a genetic relationship, suggesting that peripheral iron is not causal in the initiation of AD pathology.
Published: 2017
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36. Association between Plasma Ceramides and Phosphatidylcholines and Hippocampal Brain Volume in Late Onset Alzheimer's Disease.

Author: Kim M, Nevado-Holgado A, Whiley L, Snowden SG, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Thambisetty M, Dobson RJB, Powell JF, Lupton MK, Simmons A, Velayudhan L, Lovestone S, Proitsi P, and Legido-Quigley C
Subjects: Age Factors, Aged, Alzheimer Disease pathology, Atrophy, Biomarkers blood, Cross-Sectional Studies, Female, Hippocampus pathology, Humans, Magnetic Resonance Imaging, Male, Organ Size, Alzheimer Disease blood, Alzheimer Disease diagnostic imaging, Ceramides blood, Hippocampus diagnostic imaging, Phosphatidylcholines blood
Abstract: Lipids such as ceramides and phosphatidylcholines (PC) have been found altered in the plasma of Alzheimer's disease (AD) patients in a number of discovery studies. For this reason, the levels of 6 ceramides and 3 PCs, with different fatty acid length and saturation levels, were measured in the plasma from 412 participants (AD n = 205, Control n = 207) using mass spectrometry coupled with ultra-performance liquid chromatography. After this, associations with AD status, brain atrophy, and age-related effects were studied. In the plasma of AD participants, cross-sectional analysis revealed elevated levels of three ceramides (Cer16:0 p < 0.01, Cer18:0 p < 0.01, Cer24:1 p < 0.05). In addition, two PCs in AD plasma (PC36:5 p < 0.05, PC38:6 p < 0.05) were found to be depleted compared to the control group, with PC36:5 also associating with hippocampal atrophy (p < 0.01). Age-specific analysis further revealed that levels of Cer16:0, Cer18:0, and Cer20:0 were associated with hippocampal atrophy only in younger participants (age < 75, p < 0.05), while all 3 PCs did so in the older participants (age > 75, p < 0.05). PC36:5 was associated with AD status in the younger group (p < 0.01), while PC38:6 and 40:6 did so in the older group (p < 0.05). In this study, elevated ceramides and depleted PCs were found in the plasma from 205 AD volunteers. Our findings also suggest that dysregulation in PC and ceramide metabolism could be occurring in different stages of AD progression.
Published: 2017
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37. ABCA7 p.G215S as potential protective factor for Alzheimer's disease.

Author: Sassi C, Nalls MA, Ridge PG, Gibbs JR, Ding J, Lupton MK, Troakes C, Lunnon K, Al-Sarraj S, Brown KS, Medway C, Clement N, Lord J, Turton J, Bras J, Almeida MR, Holstege H, Louwersheimer E, van der Flier WM, Scheltens P, Van Swieten JC, Santana I, Oliveira C, Morgan K, Powell JF, Kauwe JS, Cruchaga C, Goate AM, Singleton AB, Guerreiro R, and Hardy J
Subjects: Adult, Aged, Aged, 80 and over, Cohort Studies, Female, Humans, Male, Middle Aged, Risk, ATP-Binding Cassette Transporters genetics, ATP-Binding Cassette Transporters physiology, Alzheimer Disease genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWASs) have been effective approaches to dissect common genetic variability underlying complex diseases in a systematic and unbiased way. Recently, GWASs have led to the discovery of over 20 susceptibility loci for Alzheimer's disease (AD). Despite the evidence showing the contribution of these loci to AD pathogenesis, their genetic architecture has not been extensively investigated, leaving the possibility that low frequency and rare coding variants may also occur and contribute to the risk of disease. We have used exome and genome sequencing data to analyze the single independent and joint effect of rare and low-frequency protein coding variants in 9 AD GWAS loci with the strongest effect sizes after APOE (BIN1, CLU, CR1, PICALM, MS4A6A, ABCA7, EPHA1, CD33, and CD2AP) in a cohort of 332 sporadic AD cases and 676 elderly controls of British and North-American ancestry. We identified coding variability in ABCA7 as contributing to AD risk. This locus harbors a low-frequency coding variant (p.G215S, rs72973581, minor allele frequency = 4.3%) conferring a modest but statistically significant protection against AD (p-value = 0.024, odds ratio = 0.57, 95% confidence interval = 0.41-0.80). Notably, our results are not driven by an enrichment of loss of function variants in ABCA7, recently reported as main pathogenic factor underlying AD risk at this locus. In summary, our study confirms the role of ABCA7 in AD and provides new insights that should address functional studies., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2016
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38. Rare genetic variation in UNC13A may modify survival in amyotrophic lateral sclerosis.

Author: Gaastra B, Shatunov A, Pulit S, Jones AR, Sproviero W, Gillett A, Chen Z, Kirby J, Fogh I, Powell JF, Leigh PN, Morrison KE, Shaw PJ, Shaw CE, van den Berg LH, Veldink JH, Lewis CM, and Al-Chalabi A
Subjects: Adaptor Proteins, Signal Transducing genetics, Cohort Studies, Cytoskeletal Proteins genetics, Databases, Bibliographic statistics & numerical data, Female, Genotype, Humans, Male, Middle Aged, Receptor, EphA4 genetics, Survival Analysis, Time Factors, United Kingdom epidemiology, Amyotrophic Lateral Sclerosis genetics, Amyotrophic Lateral Sclerosis mortality, Nerve Tissue Proteins genetics, Polymorphism, Single Nucleotide genetics
Abstract: Our objective was to identify whether rare genetic variation in amyotrophic lateral sclerosis (ALS) candidate survival genes modifies ALS survival. Candidate genes were selected based on evidence for modifying ALS survival. Each tail of the extreme 1.5% of survival was selected from the UK MND DNA Bank and all samples available underwent whole genome sequencing. A replication set from the Netherlands was used for validation. Sequences of candidate survival genes were extracted and variants passing quality control with a minor allele frequency ≤0.05 were selected for association testing. Analysis was by burden testing using SKAT. Candidate survival genes UNC13A, KIFAP3, and EPHA4 were tested for association in a UK sample comprising 25 short survivors and 25 long survivors. Results showed that only SNVs in UNC13A were associated with survival (p = 6.57 × 10 -3 ). SNV rs10419420:G > A was found exclusively in long survivors (3/25) and rs4808092:G > A exclusively in short survivors (4/25). These findings were not replicated in a Dutch sample. In conclusion, population specific rare variants of UNC13A may modulate survival in ALS.
Published: 2016
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39. Influence of Coding Variability in APP-Aβ Metabolism Genes in Sporadic Alzheimer's Disease.

Author: Sassi C, Ridge PG, Nalls MA, Gibbs R, Ding J, Lupton MK, Troakes C, Lunnon K, Al-Sarraj S, Brown KS, Medway C, Lord J, Turton J, Morgan K, Powell JF, Kauwe JS, Cruchaga C, Bras J, Goate AM, Singleton AB, Guerreiro R, and Hardy J
Subjects: Alzheimer Disease genetics, Amyloid beta-Peptides genetics, Amyloid beta-Protein Precursor genetics, Computational Biology, Exome, Humans, Alzheimer Disease metabolism, Amyloid beta-Peptides metabolism, Amyloid beta-Protein Precursor metabolism
Abstract: The cerebral deposition of Aβ42, a neurotoxic proteolytic derivate of amyloid precursor protein (APP), is a central event in Alzheimer's disease (AD)(Amyloid hypothesis). Given the key role of APP-Aβ metabolism in AD pathogenesis, we selected 29 genes involved in APP processing, Aβ degradation and clearance. We then used exome and genome sequencing to investigate the single independent (single-variant association test) and cumulative (gene-based association test) effect of coding variants in these genes as potential susceptibility factors for AD, in a cohort composed of 332 sporadic and mainly late-onset AD cases and 676 elderly controls from North America and the UK. Our study shows that common coding variability in these genes does not play a major role for the disease development. In the single-variant association analysis, the main hits, none of which statistically significant after multiple testing correction (1.9e-4
Published: 2016
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40. The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume.

Author: Lupton MK, Strike L, Hansell NK, Wen W, Mather KA, Armstrong NJ, Thalamuthu A, McMahon KL, de Zubicaray GI, Assareh AA, Simmons A, Proitsi P, Powell JF, Montgomery GW, Hibar DP, Westman E, Tsolaki M, Kloszewska I, Soininen H, Mecocci P, Velas B, Lovestone S, Brodaty H, Ames D, Trollor JN, Martin NG, Thompson PM, Sachdev PS, and Wright MJ
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Alzheimer Disease diagnostic imaging, Amygdala diagnostic imaging, Apolipoproteins E genetics, Case-Control Studies, Cognitive Dysfunction diagnostic imaging, Cognitive Dysfunction genetics, Cognitive Dysfunction pathology, Cohort Studies, Female, Hippocampus diagnostic imaging, Humans, Magnetic Resonance Imaging, Male, Membrane Glycoproteins genetics, Middle Aged, Receptors, Immunologic genetics, Risk, Young Adult, Alzheimer Disease genetics, Alzheimer Disease pathology, Amygdala pathology, Genetic Association Studies, Hippocampus pathology
Abstract: Reduction in hippocampal and amygdala volume measured via structural magnetic resonance imaging is an early marker of Alzheimer's disease (AD). Whether genetic risk factors for AD exert an effect on these subcortical structures independent of clinical status has not been fully investigated. We examine whether increased genetic risk for AD influences hippocampal and amygdala volumes in case-control and population cohorts at different ages, in 1674 older (aged >53 years; 17% AD, 39% mild cognitive impairment [MCI]) and 467 young (16-30 years) adults. An AD polygenic risk score combining common risk variants excluding apolipoprotein E (APOE), and a single nucleotide polymorphism in TREM2, were both associated with reduced hippocampal volume in healthy older adults and those with MCI. APOE ε4 was associated with hippocampal and amygdala volume in those with AD and MCI but was not associated in healthy older adults. No associations were found in young adults. Genetic risk for AD affects the hippocampus before the clinical symptoms of AD, reflecting a neurodegenerative effect before clinical manifestations in older adults., (Copyright © 2016 Elsevier Inc. All rights reserved.)
Published: 2016
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41. Associations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization Study.

Author: Østergaard SD, Mukherjee S, Sharp SJ, Proitsi P, Lotta LA, Day F, Perry JR, Boehme KL, Walter S, Kauwe JS, Gibbons LE, Larson EB, Powell JF, Langenberg C, Crane PK, Wareham NJ, and Scott RA
Subjects: Female, Genetic Predisposition to Disease, Humans, Male, Risk Factors, Alzheimer Disease genetics, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide
Abstract: Background: Potentially modifiable risk factors including obesity, diabetes, hypertension, and smoking are associated with Alzheimer disease (AD) and represent promising targets for intervention. However, the causality of these associations is unclear. We sought to assess the causal nature of these associations using Mendelian randomization (MR)., Methods and Findings: We used SNPs associated with each risk factor as instrumental variables in MR analyses. We considered type 2 diabetes (T2D, NSNPs = 49), fasting glucose (NSNPs = 36), insulin resistance (NSNPs = 10), body mass index (BMI, NSNPs = 32), total cholesterol (NSNPs = 73), HDL-cholesterol (NSNPs = 71), LDL-cholesterol (NSNPs = 57), triglycerides (NSNPs = 39), systolic blood pressure (SBP, NSNPs = 24), smoking initiation (NSNPs = 1), smoking quantity (NSNPs = 3), university completion (NSNPs = 2), and years of education (NSNPs = 1). We calculated MR estimates of associations between each exposure and AD risk using an inverse-variance weighted approach, with summary statistics of SNP-AD associations from the International Genomics of Alzheimer's Project, comprising a total of 17,008 individuals with AD and 37,154 cognitively normal elderly controls. We found that genetically predicted higher SBP was associated with lower AD risk (odds ratio [OR] per standard deviation [15.4 mm Hg] of SBP [95% CI]: 0.75 [0.62-0.91]; p = 3.4 × 10(-3)). Genetically predicted higher SBP was also associated with a higher probability of taking antihypertensive medication (p = 6.7 × 10(-8)). Genetically predicted smoking quantity was associated with lower AD risk (OR per ten cigarettes per day [95% CI]: 0.67 [0.51-0.89]; p = 6.5 × 10(-3)), although we were unable to stratify by smoking history; genetically predicted smoking initiation was not associated with AD risk (OR = 0.70 [0.37, 1.33]; p = 0.28). We saw no evidence of causal associations between glycemic traits, T2D, BMI, or educational attainment and risk of AD (all p > 0.1). Potential limitations of this study include the small proportion of intermediate trait variance explained by genetic variants and other implicit limitations of MR analyses., Conclusions: Inherited lifetime exposure to higher SBP is associated with lower AD risk. These findings suggest that higher blood pressure--or some environmental exposure associated with higher blood pressure, such as use of antihypertensive medications--may reduce AD risk.
Published: 2015
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42. Stratified gene expression analysis identifies major amyotrophic lateral sclerosis genes.

Author: Jones AR, Troakes C, King A, Sahni V, De Jong S, Bossers K, Papouli E, Mirza M, Al-Sarraj S, Shaw CE, Shaw PJ, Kirby J, Veldink JH, Macklis JD, Powell JF, and Al-Chalabi A
Subjects: Aged, Aged, 80 and over, Amyotrophic Lateral Sclerosis immunology, C9orf72 Protein, Case-Control Studies, Central Nervous System metabolism, Central Nervous System pathology, Female, Humans, Immunity genetics, Male, Middle Aged, Motor Neurons metabolism, Motor Neurons pathology, Nuclear Matrix-Associated Proteins genetics, Nuclear Matrix-Associated Proteins metabolism, Proteins genetics, Proteins metabolism, RNA Processing, Post-Transcriptional genetics, RNA-Binding Proteins genetics, RNA-Binding Proteins metabolism, Severity of Illness Index, Vascular Endothelial Growth Factor A genetics, Vascular Endothelial Growth Factor A metabolism, Amyotrophic Lateral Sclerosis genetics, Amyotrophic Lateral Sclerosis pathology, Gene Expression, Genetic Association Studies
Abstract: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease of motor neurons resulting in progressive paralysis. Gene expression studies of ALS only rarely identify the same gene pathways as gene association studies. We hypothesized that analyzing tissues by matching on degree of disease severity would identify different patterns of gene expression from a traditional case-control comparison. We analyzed gene expression changes in 4 postmortem central nervous system regions, stratified by severity of motor neuron loss. An overall comparison of cases (n = 6) and controls (n = 3) identified known ALS gene, SOX5, as showing differential expression (log2 fold change = 0.09, p = 5.5 × 10(-5)). Analyses stratified by disease severity identified expression changes in C9orf72 (p = 2.77 × 10(-3)), MATR3 (p = 3.46 × 10(-3)), and VEGFA (p = 8.21 × 10(-4)), all implicated in ALS through genetic studies, and changes in other genes in pathways involving RNA processing and immune response. These findings suggest that analysis of gene expression stratified by disease severity can identify major ALS genes and may be more efficient than traditional case-control comparison., (Copyright © 2015 Elsevier Inc. All rights reserved.)
Published: 2015
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43. Plasma lipidomics analysis finds long chain cholesteryl esters to be associated with Alzheimer's disease.

Author: Proitsi P, Kim M, Whiley L, Pritchard M, Leung R, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Sham P, Lovestone S, Powell JF, Dobson RJ, and Legido-Quigley C
Subjects: Aged, Aged, 80 and over, Alzheimer Disease diagnosis, Biomarkers blood, Case-Control Studies, Chromatography, Liquid, Cognitive Dysfunction diagnosis, Female, Humans, Male, Mass Spectrometry, Multivariate Analysis, Sensitivity and Specificity, Alzheimer Disease blood, Cholesterol Esters blood, Cognitive Dysfunction blood
Abstract: There is an urgent need for the identification of Alzheimer's disease (AD) biomarkers. Studies have now suggested the promising use of associations with blood metabolites as functional intermediate phenotypes in biomedical and pharmaceutical research. The aim of this study was to use lipidomics to identify a battery of plasma metabolite molecules that could predict AD patients from controls. We performed a comprehensive untargeted lipidomic analysis, using ultra-performance liquid chromatography/mass spectrometry on plasma samples from 35 AD patients, 40 elderly controls and 48 individuals with mild cognitive impairment (MCI) and used multivariate analysis methods to identify metabolites associated with AD status. A combination of 10 metabolites could discriminate AD patients from controls with 79.2% accuracy (81.8% sensitivity, 76.9% specificity and an area under curve of 0.792) in a novel test set. Six of the metabolites were identified as long chain cholesteryl esters (ChEs) and were reduced in AD (ChE 32:0, odds ratio (OR)=0.237, 95% confidence interval (CI)=0.10-0.48, P=4.19E-04; ChE 34:0, OR=0.152, 95% CI=0.05-0.37, P=2.90E-04; ChE 34:6, OR=0.126, 95% CI=0.03-0.35, P=5.40E-04; ChE 32:4, OR=0.056, 95% CI=0.01-0.24, P=6.56E-04 and ChE 33:6, OR=0.205, 95% CI=0.06-0.50, P=2.21E-03, per (log2) metabolite unit). The levels of these metabolites followed the trend control>MCI>AD. We, additionally, found no association between cholesterol, the precursor of ChE and AD. This study identified new ChE molecules, involved in cholesterol metabolism, implicated in AD, which may help identify new therapeutic targets; although, these findings need to be replicated in larger well-phenotyped cohorts.
Published: 2015
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44. Investigating the role of rare coding variability in Mendelian dementia genes (APP, PSEN1, PSEN2, GRN, MAPT, and PRNP) in late-onset Alzheimer's disease.

Author: Sassi C, Guerreiro R, Gibbs R, Ding J, Lupton MK, Troakes C, Al-Sarraj S, Niblock M, Gallo JM, Adnan J, Killick R, Brown KS, Medway C, Lord J, Turton J, Bras J, Morgan K, Powell JF, Singleton A, and Hardy J
Subjects: Aged, Aged, 80 and over, Alzheimer Disease diagnosis, Cohort Studies, Dementia diagnosis, Dementia genetics, Diagnosis, Differential, Female, Genetic Testing, Humans, Male, Middle Aged, Prion Proteins, Progranulins, Alzheimer Disease genetics, Amyloid beta-Protein Precursor genetics, Genetic Association Studies, Genetic Predisposition to Disease genetics, Genetic Variation genetics, Intercellular Signaling Peptides and Proteins genetics, Presenilin-1 genetics, Presenilin-2 genetics, Prions genetics, tau Proteins genetics
Abstract: The overlapping clinical and neuropathologic features between late-onset apparently sporadic Alzheimer's disease (LOAD), familial Alzheimer's disease (FAD), and other neurodegenerative dementias (frontotemporal dementia, corticobasal degeneration, progressive supranuclear palsy, and Creutzfeldt-Jakob disease) raise the question of whether shared genetic risk factors may explain the similar phenotype among these disparate disorders. To investigate this intriguing hypothesis, we analyzed rare coding variability in 6 Mendelian dementia genes (APP, PSEN1, PSEN2, GRN, MAPT, and PRNP), in 141 LOAD patients and 179 elderly controls, neuropathologically proven, from the UK. In our cohort, 14 LOAD cases (10%) and 11 controls (6%) carry at least 1 rare variant in the genes studied. We report a novel variant in PSEN1 (p.I168T) and a rare variant in PSEN2 (p.A237V), absent in controls and both likely pathogenic. Our findings support previous studies, suggesting that (1) rare coding variability in PSEN1 and PSEN2 may influence the susceptibility for LOAD and (2) GRN, MAPT, and PRNP are not major contributors to LOAD. Thus, genetic screening is pivotal for the clinical differential diagnosis of these neurodegenerative dementias., (Copyright © 2014 Elsevier Inc. All rights reserved.)
Published: 2014
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45. Alleles that increase risk for type 2 diabetes mellitus are not associated with increased risk for Alzheimer's disease.

Author: Proitsi P, Lupton MK, Velayudhan L, Hunter G, Newhouse S, Lin K, Fogh I, Tsolaki M, Daniilidou M, Pritchard M, Craig D, Todd S, Johnston JA, McGuinness B, Kloszewska I, Soininen H, Mecocci P, Vellas B, Passmore PA, Sims R, Williams J, Brayne C, Stewart R, Sham P, Lovestone S, and Powell JF
Subjects: Alzheimer Disease epidemiology, Comorbidity, Diabetes Mellitus, Type 2 epidemiology, Genotype, Humans, Meta-Analysis as Topic, Risk, Alleles, Alzheimer Disease genetics, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods
Abstract: Although epidemiological studies suggest that type 2 diabetes mellitus (T2DM) increases the risk of late-onset Alzheimer's disease (LOAD), the biological basis of this relationship is not well understood. The aim of this study was to examine the genetic comorbidity between the 2 disorders and to investigate whether genetic liability to T2DM, estimated by a genotype risk scores based on T2DM associated loci, is associated with increased risk of LOAD. This study was performed in 2 stages. In stage 1, we combined genotypes for the top 15 T2DM-associated polymorphisms drawn from approximately 3000 individuals (1349 cases and 1351 control subjects) with extracted and/or imputed data from 6 genome-wide studies (>10,000 individuals; 4507 cases, 2183 controls, 4989 population controls) to form a genotype risk score and examined if this was associated with increased LOAD risk in a combined meta-analysis. In stage 2, we investigated the association of LOAD with an expanded T2DM score made of 45 well-established variants drawn from the 6 genome-wide studies. Results were combined in a meta-analysis. Both stage 1 and stage 2 T2DM risk scores were not associated with LOAD risk (odds ratio = 0.988; 95% confidence interval, 0.972-1.004; p = 0.144 and odds ratio = 0.993; 95% confidence interval, 0.983-1.003; p = 0.149 per allele, respectively). Contrary to expectation, genotype risk scores based on established T2DM candidates were not associated with increased risk of LOAD. The observed epidemiological associations between T2DM and LOAD could therefore be a consequence of secondary disease processes, pleiotropic mechanisms, and/or common environmental risk factors. Future work should focus on well-characterized longitudinal cohorts with extensive phenotypic and genetic data relevant to both LOAD and T2DM., (Copyright © 2014 Elsevier Inc. All rights reserved.)
Published: 2014
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46. Exome sequencing identifies 2 novel presenilin 1 mutations (p.L166V and p.S230R) in British early-onset Alzheimer's disease.

Author: Sassi C, Guerreiro R, Gibbs R, Ding J, Lupton MK, Troakes C, Lunnon K, Al-Sarraj S, Brown KS, Medway C, Lord J, Turton J, Mann D, Snowden J, Neary D, Harris J, Bras J, Morgan K, Powell JF, Singleton A, and Hardy J
Subjects: Adult, Aged, Aged, 80 and over, Alzheimer Disease diagnosis, Amyloid beta-Protein Precursor genetics, Cohort Studies, Diagnosis, Differential, Female, Genes, Dominant genetics, Humans, Male, Middle Aged, Presenilin-2 genetics, Sequence Analysis, DNA, United Kingdom, Alzheimer Disease genetics, Exome genetics, Genetic Association Studies, Mutation genetics, Presenilin-1 genetics
Abstract: Early-onset Alzheimer's disease (EOAD) represents 1%-2% of the Alzheimer's disease (AD) cases, and it is generally characterized by a positive family history and a rapidly progressive symptomatology. Rare coding and fully penetrant variants in amyloid precursor protein (APP), presenilin 1 (PSEN1), and presenilin 2 (PSEN2) are the only causative mutations reported for autosomal dominant AD. Thus, in this study we used exome sequencing data to rapidly screen rare coding variability in APP, PSEN1, and PSEN2, in a British cohort composed of 47 unrelated EOAD cases and 179 elderly controls, neuropathologically proven. We report 2 novel and likely pathogenic variants in PSEN1 (p.L166V and p.S230R). A comprehensive catalog of rare pathogenic variants in the AD Mendelian genes is pivotal for a premortem diagnosis of autosomal dominant EOAD and for the differential diagnosis with other early onset dementias such as frontotemporal dementia (FTD) and Creutzfeldt-Jakob disease (CJD)., (Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2014
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47. Genetic predisposition to increased blood cholesterol and triglyceride lipid levels and risk of Alzheimer disease: a Mendelian randomization analysis.

Author: Proitsi P, Lupton MK, Velayudhan L, Newhouse S, Fogh I, Tsolaki M, Daniilidou M, Pritchard M, Kloszewska I, Soininen H, Mecocci P, Vellas B, Williams J, Stewart R, Sham P, Lovestone S, and Powell JF
Subjects: Aged, Aged, 80 and over, Alzheimer Disease blood, Cholesterol blood, Female, Genome-Wide Association Study methods, Humans, Longitudinal Studies, Male, Polymorphism, Single Nucleotide genetics, Risk Factors, Triglycerides blood, Alzheimer Disease diagnosis, Alzheimer Disease genetics, Cholesterol genetics, Genetic Predisposition to Disease genetics, Mendelian Randomization Analysis methods, Triglycerides genetics
Abstract: Background: Although altered lipid metabolism has been extensively implicated in the pathogenesis of Alzheimer disease (AD) through cell biological, epidemiological, and genetic studies, the molecular mechanisms linking cholesterol and AD pathology are still not well understood and contradictory results have been reported. We have used a Mendelian randomization approach to dissect the causal nature of the association between circulating lipid levels and late onset AD (LOAD) and test the hypothesis that genetically raised lipid levels increase the risk of LOAD., Methods and Findings: We included 3,914 patients with LOAD, 1,675 older individuals without LOAD, and 4,989 individuals from the general population from six genome wide studies drawn from a white population (total n=10,578). We constructed weighted genotype risk scores (GRSs) for four blood lipid phenotypes (high-density lipoprotein cholesterol [HDL-c], low-density lipoprotein cholesterol [LDL-c], triglycerides, and total cholesterol) using well-established SNPs in 157 loci for blood lipids reported by Willer and colleagues (2013). Both full GRSs using all SNPs associated with each trait at p<5×10-8 and trait specific scores using SNPs associated exclusively with each trait at p<5 × 10-8 were developed. We used logistic regression to investigate whether the GRSs were associated with LOAD in each study and results were combined together by meta-analysis. We found no association between any of the full GRSs and LOAD (meta-analysis results: odds ratio [OR]=1.005, 95% CI 0.82-1.24, p = 0.962 per 1 unit increase in HDL-c; OR=0.901, 95% CI 0.65-1.25, p=0.530 per 1 unit increase in LDL-c; OR=1.104, 95% CI 0.89-1.37, p=0.362 per 1 unit increase in triglycerides; and OR=0.954, 95% CI 0.76-1.21, p=0.688 per 1 unit increase in total cholesterol). Results for the trait specific scores were similar; however, the trait specific scores explained much smaller phenotypic variance., Conclusions: Genetic predisposition to increased blood cholesterol and triglyceride lipid levels is not associated with elevated LOAD risk. The observed epidemiological associations between abnormal lipid levels and LOAD risk could therefore be attributed to the result of biological pleiotropy or could be secondary to LOAD. Limitations of this study include the small proportion of lipid variance explained by the GRS, biases in case-control ascertainment, and the limitations implicit to Mendelian randomization studies. Future studies should focus on larger LOAD datasets with longitudinal sampled peripheral lipid measures and other markers of lipid metabolism, which have been shown to be altered in LOAD. Please see later in the article for the Editors' Summary.
Published: 2014
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48. Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease.

Author: Escott-Price V, Bellenguez C, Wang LS, Choi SH, Harold D, Jones L, Holmans P, Gerrish A, Vedernikov A, Richards A, DeStefano AL, Lambert JC, Ibrahim-Verbaas CA, Naj AC, Sims R, Jun G, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Denning N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Schmidt H, Kunkle B, Dunstan ML, Vronskaya M, Johnson AD, Ruiz A, Bihoreau MT, Reitz C, Pasquier F, Hollingworth P, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Hernández I, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, George-Hyslop PS, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Garcia FS, Fox NC, Hardy J, Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Scarpini E, Bonuccelli U, Mancuso M, Siciliano G, Moebus S, Mecocci P, Zompo MD, Maier W, Hampel H, Pilotto A, Frank-García A, Panza F, Solfrizzi V, Caffarra P, Nacmias B, Perry W, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH Jr, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Haines JL, Lathrop M, Pericak-Vance MA, Launer LJ, Van Broeckhoven C, Farrer LA, van Duijn CM, Ramirez A, Seshadri S, Schellenberg GD, Amouyel P, and Williams J
Subjects: Case-Control Studies, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Receptors, Antigen, B-Cell genetics, Alzheimer Disease genetics, Carrier Proteins genetics, Heat-Shock Proteins genetics
Abstract: Background: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls., Principal Findings: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10-6) and 14 (IGHV1-67 p = 7.9×10-8) which indexed novel susceptibility loci., Significance: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
Published: 2014
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49. The role of ABCA1 gene sequence variants on risk of Alzheimer's disease.

Author: Lupton MK, Proitsi P, Lin K, Hamilton G, Daniilidou M, Tsolaki M, and Powell JF
Subjects: Adult, Aged, Aged, 80 and over, Case-Control Studies, Cohort Studies, Female, Humans, Male, Middle Aged, Risk Factors, ATP Binding Cassette Transporter 1 genetics, Alzheimer Disease diagnosis, Alzheimer Disease genetics, Genetic Variation genetics, Polymorphism, Single Nucleotide genetics, Sequence Analysis, DNA methods
Abstract: The ATP-binding cassette, sub-family A, member 1 gene (ABCA1) is a candidate risk gene for late onset Alzheimer's disease (LOAD) as a consequence of its role in cholesterol transport and metabolism, which is implicated in LOAD risk. ABCA1 has been shown in mouse models to enable the clearance of amyloid-β peptide from the brain, through its role in the lipidation of apolipoprotein (APOE). Although recent large scale genome wide association studies (GWAS) have failed to find significant associations with common genetic variants in this gene and LOAD, rare variants in ABCA1 have been shown to influence plasma high-density lipoprotein cholesterol levels. Using next generation sequencing of pooled DNA samples, we sequenced all the coding regions of ABCA1 in 311 LOAD cases and 360 control individuals drawn from the Greek population to identify low frequency non-synonymous variation. There were a significantly higher proportion of rare non-synonymous variants in control individuals compared to AD cases, suggestive of a protective effect. These findings provide new evidence of an effect of ABCA1 variants on AD risk. In addition they highlight the importance of high throughput sequencing in the identification of rare variation undetected by GWAS, but with the potential to have a strong effect on risk of LOAD.
Published: 2014
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50. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease.

Author: Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, DeStafano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thorton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MW, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuiness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Deniz Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannefelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH Jr, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltuenen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, and Amouyel P
Subjects: Age of Onset, Aged, Aged, 80 and over, Alzheimer Disease epidemiology, Case-Control Studies, Cohort Studies, Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Alzheimer Disease genetics, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study statistics & numerical data
Abstract: Eleven susceptibility loci for late-onset Alzheimer's disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer's disease cases and 37,154 controls. In stage 2, 11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer's disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10(-8)) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer's disease.
Published: 2013
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