Author: "Jakobsdottir, J." - Searchworks@Jio Institute Digital Library Search Results

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59 results on '"Jakobsdottir, J."'

1. Genetically elevated high‐density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease

Author: Peloso, Gina M, van der Lee, Sven J, Project, International Genomics of Alzheimer's, Sims, R, van der Lee, SJ, Naj, AC, Bellenguez, C, Badarinarayan, N, Jakobsdottir, J, Kunkle, BW, Boland, A, Raybould, R, Bis, JC, Martin, ER, Grenier‐Boley, B, Heilmann‐Heimbach, S, Chouraki, V, Kuzma, AB, Sleegers, K, Vronskaya, M, Ruiz, A, Graham, RR, Olaso, R, Hoffmann, P, Grove, ML, Vardarajan, BN, Hiltunen, M, Nöthen, MM, White, CC, Hamilton‐Nelson, KL, Epelbaum, J, Maier, W, Choi, SH, Beecham, GW, Dulary, C, Herms, S, Smith, AV, Funk, CC, Derbois, Forstner, AJ, Ahmad, S, Li, H, Bacq, D, Harold, D, Satizabal, CL, Valladares, O, Squassina, A, Thomas, R, Brody, JA, Qu, L, Sánchez‐Juan, P, Morgan, T, Wolters, FJ, Zhao, Y, Garcia, FS, Denning, N, Fornage, M, Malamon, J, Naranjo, MCD, Majounie, E, Mosley, TH, Dombroski, B, Wallon, D, Lupton, MK, Dupuis, J, Whitehead, P, Fratiglioni, L, Medway, C, Jian, X, Mukherjee, S, Keller, L, Brown, K, Lin, H, Cantwell, LB, Panza, F, McGuinness, B, Moreno‐Grau, S, Burgess, JD, Solfrizzi, V, Proitsi, P, Adams, HH, Allen, M, Seripa, D, Pastor, P, Cupples, LA, Price, ND, Hannequin, D, Frank‐García, A, Levy, D, Chakrabarty, P, Caffarra, P, Giegling, I, Beiser, AS, Giedraitis, V, Hampel, H, Garcia, ME, Wang, X, Lannfelt, L, Mecocci, P, and Eiriksdottir, G
Subjects: Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Alzheimer's Disease, Prevention, Genetics, Brain Disorders, Dementia, Atherosclerosis, Acquired Cognitive Impairment, Cardiovascular, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, 2.1 Biological and endogenous factors, Neurological, International Genomics of Alzheimer's Project, Cholesteryl ester transfer protein, HDL-C, Instrumental variables, Single nucleotide polymorphisms, Biological psychology
Abstract: IntroductionThere is conflicting evidence whether high-density lipoprotein cholesterol (HDL-C) is a risk factor for Alzheimer's disease (AD) and dementia. Genetic variation in the cholesteryl ester transfer protein (CETP) locus is associated with altered HDL-C. We aimed to assess AD risk by genetically predicted HDL-C.MethodsTen single nucleotide polymorphisms within the CETP locus predicting HDL-C were applied to the International Genomics of Alzheimer's Project (IGAP) exome chip stage 1 results in up 16,097 late onset AD cases and 18,077 cognitively normal elderly controls. We performed instrumental variables analysis using inverse variance weighting, weighted median, and MR-Egger.ResultsBased on 10 single nucleotide polymorphisms distinctly predicting HDL-C in the CETP locus, we found that HDL-C was not associated with risk of AD (P > .7).DiscussionOur study does not support the role of HDL-C on risk of AD through HDL-C altered by CETP. This study does not rule out other mechanisms by which HDL-C affects risk of AD.
Published: 2018

2. 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

3. Nat Genet

Author: KUNKLE, B. W., GRENIER-BOLEY, B., SIMS, R., BIS, J. C., DAMOTTE, V., NAJ, A. C., BOLAND, A., VRONSKAYA, M., VAN DER LEE, S. J., AMLIE-WOLF, A., BELLENGUEZ, C., FRIZATTI, A., CHOURAKI, V., MARTIN, E. R., SLEEGERS, K., BADARINARAYAN, N., JAKOBSDOTTIR, J., HAMILTON-NELSON, K. L., MORENO-GRAU, S., OLASO, R., RAYBOULD, R., CHEN, Y., KUZMA, A. B., HILTUNEN, M., MORGAN, T., AHMAD, S., VARDARAJAN, B. N., EPELBAUM, J., HOFFMANN, P., BOADA, M., BEECHAM, G. W., GARNIER, J. G., HAROLD, D., FITZPATRICK, A. L., VALLADARES, O., MOUTET, M. L., GERRISH, A., QU, L., BACQ, D., DENNING, N., JIAN, X., ZHAO, Y., DEL ZOMPO, M., FOX, N. C., CHOI, S. H., MATEO, I., HUGHES, J. T., ADAMS, H. H., MALAMON, J., SANCHEZ-GARCIA, F., PATEL, Y., BRODY, J. A., DOMBROSKI, B. A., NARANJO, M. C. D., DANIILIDOU, M., EIRIKSDOTTIR, G., MUKHERJEE, S., WALLON, D., UPHILL, J., ASPELUND, T., CANTWELL, L. B., GARZIA, F., GALIMBERTI, D., HOFER, E., BUTKIEWICZ, M., FIN, B., SCARPINI, E., SARNOWSKI, C., BUSH, W. S., MESLAGE, S., KORNHUBER, J., WHITE, C. C., SONG, Y., BARBER, R. C., ENGELBORGHS, S., SORDON, S., VOIJNOVIC, D., ADAMS, P. M., VANDENBERGHE, R., MAYHAUS, M., CUPPLES, L. A., ALBERT, M. S., DE DEYN, P. P., GU, W., HIMALI, J. J., BEEKLY, D., SQUASSINA, A., HARTMANN, A. M., ORELLANA, A., BLACKER, D., RODRIGUEZ-RODRIGUEZ, E., LOVESTONE, S., GARCIA, M. E., DOODY, R. S., MUNOZ-FERNADEZ, C., SUSSAMS, R., LIN, H., FAIRCHILD, T. J., BENITO, Y. A., HOLMES, C., KARAMUJIC-COMIC, H., FROSCH, M. P., THONBERG, H., MAIER, W., ROSCHUPKIN, G., GHETTI, B., GIEDRAITIS, V., KAWALIA, A., LI, S., HUEBINGER, R. M., KILANDER, L., MOEBUS, S., HERNANDEZ, I., KAMBOH, M. I., BRUNDIN, R., TURTON, J., YANG, Q., KATZ, M. J., CONCARI, L., LORD, J., BEISER, A. S., KEENE, C. D., HELISALMI, S., KLOSZEWSKA, I., KUKULL, W. A., KOIVISTO, A. M., LYNCH, A., TARRAGA, L., LARSON, E. B., HAAPASALO, A., LAWLOR, B., MOSLEY, T. H., LIPTON, R. B., SOLFRIZZI, V., GILL, M., LONGSTRETH, W. T. Jr., MONTINE, T. J., FRISARDI, V., DIEZ-FAIREN, M., RIVADENEIRA, F., PETERSEN, R. C., DERAMECOURT, V., ALVAREZ, I., SALANI, F., CIARAMELLA, A., BOERWINKLE, E., REIMAN, E. M., FIEVET, N., ROTTER, J. I., REISCH, J. S., HANON, O., CUPIDI, C., ANDRE UITTERLINDEN, A. G., ROYALL, D. R., DUFOUIL, Carole, MALETTA, R. G., DE ROJAS, I., SANO, M., BRICE, A., CECCHETTI, R., GEORGE-HYSLOP, P. S., RITCHIE, K., TSOLAKI, M., TSUANG, D. W., DUBOIS, B., CRAIG, D., WU, C. K., SOININEN, H., AVRAMIDOU, D., ALBIN, R. L., FRATIGLIONI, L., GERMANOU, A., APOSTOLOVA, L. G., KELLER, L., KOUTROUMANI, M., ARNOLD, S. E., PANZA, F., GKATZIMA, O., ASTHANA, S., HANNEQUIN, D., WHITEHEAD, P., ATWOOD, C. S., CAFFARRA, P., HAMPEL, H., QUINTELA, I., CARRACEDO, A., LANNFELT, L., RUBINSZTEIN, D. C., BARNES, L. L., PASQUIER, F., FROLICH, L., BARRAL, S., MCGUINNESS, B., BEACH, T. G., JOHNSTON, J. A., BECKER, J. T., PASSMORE, P., BIGIO, E. H., SCHOTT, J. M., BIRD, T. D., WARREN, J. D., BOEVE, B. F., LUPTON, M. K., BOWEN, J. D., PROITSI, P., BOXER, A., POWELL, J. F., BURKE, J. R., KAUWE, J. S. K., BURNS, J. M., MANCUSO, M., BUXBAUM, J. D., BONUCCELLI, U., CAIRNS, N. J., MCQUILLIN, A., CAO, C., LIVINGSTON, G., CARLSON, C. S., BASS, N. J., CARLSSON, C. M., HARDY, J., CARNEY, R. M., BRAS, J., CARRASQUILLO, M. M., GUERREIRO, R., ALLEN, M., CHUI, H. C., FISHER, E., MASULLO, C., CROCCO, E. A., DECARLI, C., BISCEGLIO, G., DICK, M., MA, L., DUARA, R., GRAFF-RADFORD, N. R., EVANS, D. A., HODGES, A., FABER, K. M., SCHERER, M., FALLON, K. B., RIEMENSCHNEIDER, M., FARDO, D. W., HEUN, R., FARLOW, M. R., KOLSCH, H., FERRIS, S., LEBER, M., FOROUD, T. M., HEUSER, I., GALASKO, D. R., GIEGLING, I., GEARING, M., HULL, M., GESCHWIND, D. H., GILBERT, J. R., GREEN, R. C., MAYO, K., GROWDON, J. H., FEULNER, T., HAMILTON, R. L., HARRELL, L. E., DRICHEL, D., HONIG, L. S., CUSHION, T. D., HUENTELMAN, M. J., HOLLINGWORTH, P., HULETTE, C. M., HYMAN, B. T., MARSHALL, R., JARVIK, G. P., MEGGY, A., ABNER, E., MENZIES, G. E., JIN, L. W., LEONENKO, G., REAL, L. M., JUN, G. R., BALDWIN, C. T., GROZEVA, D., KARYDAS, A., RUSSO, G., KAYE, J. A., KIM, R., JESSEN, F., KOWALL, N. W., VELLAS, B., KRAMER, J. H., VARDY, E., LAFERLA, F. M., JOCKEL, K. H., LAH, J. J., DICHGANS, M., LEVERENZ, J. B., MANN, D., LEVEY, A. I., PICKERING-BROWN, S., LIEBERMAN, A. P., KLOPP, N., LUNETTA, K. L., WICHMANN, H. E., LYKETSOS, C. G., MORGAN, K., MARSON, D. C., BROWN, K., MARTINIUK, F., MEDWAY, C., MASH, D. C., NOTHEN, M. M., MASLIAH, E., HOOPER, N. M., MCCORMICK, W. C., DANIELE, A., MCCURRY, S. M., BAYER, A., MCDAVID, A. N., GALLACHER, J., MCKEE, A. C., VAN DEN BUSSCHE, H., MESULAM, M., BRAYNE, C., MILLER, B. L., RIEDEL-HELLER, S., MILLER, C. A., MILLER, J. W., AL-CHALABI, A., MORRIS, J. C., SHAW, C. E., MYERS, A. J., WILTFANG, J., O'BRYANT, S., OLICHNEY, J. M., ALVAREZ, V., PARISI, J. E., SINGLETON, A. B., PAULSON, H. L., COLLINGE, J., PERRY, W. R., MEAD, S., PESKIND, E., CRIBBS, D. H., ROSSOR, M., PIERCE, A., RYAN, N. S., POON, W. W., NACMIAS, B., POTTER, H., SORBI, S., QUINN, J. F., SACCHINELLI, E., RAJ, A., SPALLETTA, G., RASKIND, M., CALTAGIRONE, C., BOSSU, P., ORFEI, M. D., REISBERG, B., CLARKE, R., REITZ, C., RINGMAN, J. M., WARDEN, D., ROBERSON, E. D., WILCOCK, G., ROGAEVA, E., BRUNI, A. C., ROSEN, H. J., GALLO, M., ROSENBERG, R. N., BEN-SHLOMO, Y., SAGER, M. A., MECOCCI, P., SAYKIN, A. J., PASTOR, P., CUCCARO, M. L., VANCE, J. M., SCHNEIDER, J. A., SCHNEIDER, L. S., SLIFER, S., SEELEY, W. W., SMITH, A. V., SONNEN, J. A., SPINA, S., STERN, R. A., SWERDLOW, R. H., TANG, M., TANZI, R. E., TROJANOWSKI, J. Q., TRONCOSO, J. C., VAN DEERLIN, V. M., VAN ELDIK, L. J., VINTERS, H. V., VONSATTEL, J. P., WEINTRAUB, S., WELSH-BOHMER, K. A., WILHELMSEN, K. C., WILLIAMSON, J., WINGO, T. S., WOLTJER, R. L., WRIGHT, C. B., YU, C. E., YU, L., SABA, Y., ALZHEIMER DISEASE GENETICS, Consortium, EUROPEAN ALZHEIMER'S DISEASE, Initiative, COHORTS FOR, Heart, AGING RESEARCH IN GENOMIC EPIDEMIOLOGY, Consortium, GENETIC ENVIRONMENTAL RISK IN AD/DEFINING GENETIC, Polygenic, ENVIRONMENTAL RISK FOR ALZHEIMER'S DISEASE, Consortium, PILOTTO, A., BULLIDO, M. J., PETERS, O., CRANE, P. K., BENNETT, D., BOSCO, P., COTO, E., BOCCARDI, V., DE JAGER, P. L., LLEO, A., WARNER, N., LOPEZ, O. L., INGELSSON, M., DELOUKAS, P., CRUCHAGA, C., GRAFF, C., GWILLIAM, R., FORNAGE, M., GOATE, A. M., SANCHEZ-JUAN, P., KEHOE, P. G., AMIN, N., ERTEKIN-TANER, N., BERR, C., DEBETTE, S., LOVE, S., LAUNER, L. J., YOUNKIN, S. G., DARTIGUES, Jean-Francois, CORCORAN, C., IKRAM, M. A., DICKSON, D. W., NICOLAS, G., CAMPION, D., TSCHANZ, J., SCHMIDT, H., HAKONARSON, H., CLARIMON, J., MUNGER, R., SCHMIDT, R., FARRER, L. A., VAN BROECKHOVEN, C., M, C. O' Donovan, DESTEFANO, A. L., JONES, L., HAINES, J. L., DELEUZE, J. F., OWEN, M. J., GUDNASON, V., MAYEUX, R., ESCOTT-PRICE, V., PSATY, B. M., RAMIREZ, A., WANG, L. S., RUIZ, A., VAN DUIJN, C. M., HOLMANS, P. A., SESHADRI, S., WILLIAMS, J., AMOUYEL, P., SCHELLENBERG, G. D., LAMBERT, J. C., and PERICAK-VANCE, M. A.
Published: 2019

4. Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (Nature Genetics, (2019), 51, 3, (414-430), 10.1038/s41588-019-0358-2)

Author: Kunkle, B. W., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., Boland, A., Vronskaya, M., van der Lee, S. J., Amlie-Wolf, A., Bellenguez, C., Frizatti, A., Chouraki, V., Martin, E. R., Sleegers, K., Badarinarayan, N., Jakobsdottir, J., Hamilton-Nelson, K. L., Moreno-Grau, S., Olaso, R., Raybould, R., Chen, Y., Kuzma, A. B., Hiltunen, M., Morgan, T., Ahmad, S., Vardarajan, B. N., Epelbaum, J., Hoffmann, P., Boada, M., Beecham, G. W., Garnier, J. -G., Harold, D., Fitzpatrick, A. L., Valladares, O., Moutet, M. -L., Gerrish, A., Smith, A. V., Qu, L., Bacq, D., Denning, N., Jian, X., Zhao, Y., Del Zompo, M., Fox, N. C., Choi, S. -H., Mateo, I., Hughes, J. T., Adams, H. H., Malamon, J., Sanchez-Garcia, F., Patel, Y., Brody, J. A., Dombroski, B. A., Naranjo, M. C. D., Daniilidou, M., Eiriksdottir, G., Mukherjee, S., Wallon, D., Uphill, J., Aspelund, T., Cantwell, L. B., Garzia, F., Galimberti, D., Hofer, E., Butkiewicz, M., Fin, B., Scarpini, E., Sarnowski, C., Bush, W. S., Meslage, S., Kornhuber, J., White, C. C., Song, Y., Barber, R. C., Engelborghs, S., Sordon, S., Voijnovic, D., Adams, P. M., Vandenberghe, R., Mayhaus, M., Cupples, L. A., Albert, M. S., De Deyn, P. P., Gu, W., Himali, J. J., Beekly, D., Squassina, A., Hartmann, A. M., Orellana, A., Blacker, D., Rodriguez-Rodriguez, E., Lovestone, S., Garcia, M. E., Doody, R. S., Munoz-Fernadez, C., Sussams, R., Lin, H., Fairchild, T. J., Benito, Y. A., Holmes, C., Karamujic-Comic, H., Frosch, M. P., Thonberg, H., Maier, W., Roshchupkin, G., Ghetti, B., Giedraitis, V., Kawalia, A., Li, S., Huebinger, R. M., Kilander, L., Moebus, S., Hernandez, I., Kamboh, M. I., Brundin, R. M., Turton, J., Yang, Q., Katz, M. J., Concari, L., Lord, J., Beiser, A. S., Keene, C. D., Helisalmi, S., Kloszewska, I., Kukull, W. A., Koivisto, A. M., Lynch, A., Tarraga, L., Larson, E. B., Haapasalo, A., Lawlor, B., Mosley, T. H., Lipton, R. B., Solfrizzi, V., Gill, M., Longstreth, W. T., Montine, T. J., Frisardi, V., Diez-Fairen, M., Rivadeneira, F., Petersen, R. C., Deramecourt, V., Alvarez, I., Salani, F., Ciaramella, A., Boerwinkle, E., Reiman, E. M., Fievet, N., Rotter, J. I., Reisch, J. S., Hanon, O., Cupidi, C., Uitterlinden, A. G. A., Royall, D. R., Dufouil, C., Maletta, R. G., de Rojas, I., Sano, M., Brice, A., Cecchetti, R., George-Hyslop, P. S., Ritchie, K., Tsolaki, M., Tsuang, D. W., Dubois, B., Craig, D., C. -K., Wu, Soininen, H., Avramidou, D., Albin, R. L., Fratiglioni, L., Germanou, A., Apostolova, L. G., Keller, L., Koutroumani, M., Arnold, S. E., Panza, F., Gkatzima, O., Asthana, S., Hannequin, D., Whitehead, P., Atwood, C. S., Caffarra, P., Hampel, H., Quintela, I., Carracedo, A., Lannfelt, L., Rubinsztein, D. C., Barnes, L. L., Pasquier, F., Frolich, L., Barral, S., Mcguinness, B., Beach, T. G., Johnston, J. A., Becker, J. T., Passmore, P., Bigio, E. H., Schott, J. M., Bird, T. D., Warren, J. D., Boeve, B. F., Lupton, M. K., Bowen, J. D., Proitsi, P., Boxer, A., Powell, J. F., Burke, J. R., Kauwe, J. S. K., Burns, J. M., Mancuso, M., Buxbaum, J. D., Bonuccelli, U., Cairns, N. J., Mcquillin, A., Cao, C., Livingston, G., Carlson, C. S., Bass, N. J., Carlsson, C. M., Hardy, J., Carney, R. M., Bras, J., Carrasquillo, M. M., Guerreiro, R., Allen, M., Chui, H. C., Fisher, E., Masullo, Carlo, Crocco, E. A., Decarli, C., Bisceglio, G., Dick, M., Ma, L., Duara, R., Graff-Radford, N. R., Evans, D. A., Hodges, A., Faber, K. M., Scherer, M., Fallon, K. B., Riemenschneider, M., Fardo, D. W., Heun, R., Farlow, M. R., Kolsch, H., Ferris, S., Leber, M., Foroud, T. M., Heuser, I., Galasko, D. R., Giegling, I., Gearing, M., Hull, M., Geschwind, D. H., Gilbert, J. R., Morris, J., Green, R. C., Mayo, K., Growdon, J. H., Feulner, T., Hamilton, R. L., Harrell, L. E., Drichel, D., Honig, L. S., Cushion, T. D., Huentelman, M. J., Hollingworth, P., Hulette, C. M., Hyman, B. T., Marshall, R., Jarvik, G. P., Meggy, A., Abner, E., Menzies, G. E., Jin, L. -W., Leonenko, G., Real, L. M., Jun, G. R., Baldwin, C. T., Grozeva, D., Karydas, A., Russo, G., Kaye, J. A., Kim, R., Jessen, F., Kowall, N. W., Vellas, B., Kramer, J. H., Vardy, E., Laferla, F. M., Jockel, K. -H., Lah, J. J., Dichgans, M., Leverenz, J. B., Mann, D., Levey, A. I., Pickering-Brown, S., Lieberman, A. P., Klopp, N., Lunetta, K. L., Wichmann, H. -E., Lyketsos, C. G., Morgan, K., Marson, D. C., Brown, K., Martiniuk, F., Medway, C., Mash, D. C., Nothen, M. M., Masliah, E., Hooper, N. M., Mccormick, W. C., Daniele, Antonio, Mccurry, S. M., Bayer, A., Mcdavid, A. N., Gallacher, J., Mckee, A. C., van den Bussche, H., Mesulam, M., Brayne, C., Miller, B. L., Riedel-Heller, S., Miller, C. A., Miller, J. W., Al-Chalabi, A., Morris, J. C., Shaw, C. E., Myers, A. J., Wiltfang, J., O'Bryant, S., Olichney, J. M., Alvarez, V., Parisi, J. E., Singleton, A. B., Paulson, H. L., Collinge, J., Perry, W. R., Mead, S., Peskind, E., Cribbs, D. H., Rossor, M., Pierce, A., Ryan, N. S., Poon, W. W., Nacmias, B., Potter, H., Sorbi, S., Quinn, J. F., Sacchinelli, E., Raj, A., Spalletta, Gianfranco, Raskind, M., Caltagirone, C., Bossu, P., Orfei, M. D., Reisberg, B., Clarke, Ronald Victor, Reitz, C., Smith, A. D., Ringman, J. M., Warden, D., Roberson, E. D., Wilcock, G., Rogaeva, E., Bruni, A. C., Rosen, H. J., Gallo, Massimiliano, Rosenberg, R. N., Ben-Shlomo, Y., Sager, M. A., Mecocci, P., Saykin, A. J., Pastor, P., Cuccaro, M. L., Vance, J. M., Schneider, J. A., Schneider, L. S., Slifer, S., Seeley, W. W., Smith, A. G., Sonnen, J. A., Spina, S., Stern, R. A., Swerdlow, R. H., Tang, M., Tanzi, R. E., Trojanowski, J. Q., Troncoso, J. C., Van Deerlin, V. M., Van Eldik, L. J., Vinters, H. V., Vonsattel, J. P., Weintraub, S., Welsh-Bohmer, K. A., Wilhelmsen, K. C., Williamson, J., Wingo, T. S., Woltjer, R. L., Wright, C. B., C. -E., Yu, Yu, L., Saba, Y., Pilotto, A., Bullido, M. J., Peters, O., Crane, P. K., Bennett, D., Bosco, P., Coto, E., Boccardi, V., De Jager, P. L., Lleo, A., Warner, N., Lopez, O. L., Ingelsson, M., Deloukas, P., Cruchaga, C., Graff, C., Gwilliam, R., Fornage, M., Goate, A. M., Sanchez-Juan, P., Kehoe, P. G., Amin, N., Ertekin-Taner, N., Berr, C., Debette, S., Love, S., Launer, L. J., Younkin, S. G., Dartigues, J. -F., Corcoran, C., Ikram, M. A., Dickson, D. W., Nicolas, G., Campion, D., Tschanz, J. A., Schmidt, H., Hakonarson, H., Clarimon, J., Munger, R., Schmidt, R., Farrer, L. A., Van Broeckhoven, C., O'Donovan, M. C., Destefano, A. L., Jones, L., Haines, J. L., Deleuze, J. -F., Owen, M. J., Gudnason, V., Mayeux, R., Escott-Price, V., Psaty, B. M., Ramirez, A., Wang, L. -S., Ruiz, A., van Duijn, C. M., Holmans, P. A., Seshadri, S., Williams, J., Amouyel, P., Schellenberg, G. D., Lambert, J. -C., and Pericak-Vance, M. A.
Subjects: Author Correction: Alzheimer’s disease genetic meta-analysis new risk loci Aβ, tau, immunity and lipid processing, Settore MED/26 - NEUROLOGIA, Author Correction: Alzheimer’s disease genetic meta-analysis new risk loci Aβ, tau, immunity and lipid processing
Published: 2019

5. Author Correction: Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing

Author: KUNKLE, B. W., GRENIER-BOLEY, B., SIMS, R., BIS, J. C., DAMOTTE, V., NAJ, A. C., BOLAND, A., VRONSKAYA, M., VAN DER LEE, S. J., AMLIE-WOLF, A., BELLENGUEZ, C., FRIZATTI, A., CHOURAKI, V., MARTIN, E. R., SLEEGERS, K., BADARINARAYAN, N., JAKOBSDOTTIR, J., HAMILTON-NELSON, K. L., MORENO-GRAU, S., OLASO, R., RAYBOULD, R., CHEN, Y., KUZMA, A. B., HILTUNEN, M., MORGAN, T., AHMAD, S., VARDARAJAN, B. N., EPELBAUM, J., HOFFMANN, P., BOADA, M., BEECHAM, G. W., GARNIER, J. G., HAROLD, D., FITZPATRICK, A. L., VALLADARES, O., MOUTET, M. L., GERRISH, A., SMITH, A. V., QU, L., BACQ, D., DENNING, N., JIAN, X., ZHAO, Y., DEL ZOMPO, M., FOX, N. C., CHOI, S. H., MATEO, I., HUGHES, J. T., ADAMS, H. H., MALAMON, J., SANCHEZ-GARCIA, F., PATEL, Y., BRODY, J. A., DOMBROSKI, B. A., NARANJO, M. C. D., DANIILIDOU, M., EIRIKSDOTTIR, G., MUKHERJEE, S., WALLON, D., UPHILL, J., ASPELUND, T., CANTWELL, L. B., GARZIA, F., GALIMBERTI, D., HOFER, E., BUTKIEWICZ, M., FIN, B., SCARPINI, E., SARNOWSKI, C., BUSH, W. S., MESLAGE, S., KORNHUBER, J., WHITE, C. C., SONG, Y., BARBER, R. C., ENGELBORGHS, S., SORDON, S., VOIJNOVIC, D., ADAMS, P. M., VANDENBERGHE, R., MAYHAUS, M., CUPPLES, L. A., ALBERT, M. S., DE DEYN, P. P., GU, W., HIMALI, J. J., BEEKLY, D., SQUASSINA, A., HARTMANN, A. M., ORELLANA, A., BLACKER, D., RODRIGUEZ-RODRIGUEZ, E., LOVESTONE, S., GARCIA, M. E., DOODY, R. S., MUNOZ-FERNADEZ, C., SUSSAMS, R., LIN, H., FAIRCHILD, T. J., BENITO, Y. A., HOLMES, C., KARAMUJIC-COMIC, H., FROSCH, M. P., THONBERG, H., MAIER, W., ROSHCHUPKIN, G., GHETTI, B., GIEDRAITIS, V., KAWALIA, A., LI, S., HUEBINGER, R. M., KILANDER, L., MOEBUS, S., HERNANDEZ, I., KAMBOH, M. I., BRUNDIN, R., TURTON, J., YANG, Q., KATZ, M. J., CONCARI, L., LORD, J., BEISER, A. S., KEENE, C. D., HELISALMI, S., KLOSZEWSKA, I., KUKULL, W. A., KOIVISTO, A. M., LYNCH, A., TARRAGA, L., LARSON, E. B., HAAPASALO, A., LAWLOR, B., MOSLEY, T. H., LIPTON, R. B., SOLFRIZZI, V., GILL, M., LONGSTRETH, W. T., Jr., MONTINE, T. J., FRISARDI, V., DIEZ-FAIREN, M., RIVADENEIRA, F., PETERSEN, R. C., DERAMECOURT, V., ALVAREZ, I., SALANI, F., CIARAMELLA, A., BOERWINKLE, E., REIMAN, E. M., FIEVET, N., ROTTER, J. I., REISCH, J. S., HANON, O., CUPIDI, C., UITTERLINDEN, A. G. A., ROYALL, D. R., DUFOUIL, Carole, MALETTA, R. G., DE ROJAS, I., SANO, M., BRICE, A., CECCHETTI, R., GEORGE-HYSLOP, P. S., RITCHIE, K., TSOLAKI, M., TSUANG, D. W., DUBOIS, B., CRAIG, D., WU, C. K., SOININEN, H., AVRAMIDOU, D., ALBIN, R. L., FRATIGLIONI, L., GERMANOU, A., APOSTOLOVA, L. G., KELLER, L., KOUTROUMANI, M., ARNOLD, S. E., PANZA, F., GKATZIMA, O., ASTHANA, S., HANNEQUIN, D., WHITEHEAD, P., ATWOOD, C. S., CAFFARRA, P., HAMPEL, H., QUINTELA, I., CARRACEDO, A., LANNFELT, L., RUBINSZTEIN, D. C., BARNES, L. L., PASQUIER, F., FROLICH, L., BARRAL, S., MCGUINNESS, B., BEACH, T. G., JOHNSTON, J. A., BECKER, J. T., PASSMORE, P., BIGIO, E. H., SCHOTT, J. M., BIRD, T. D., WARREN, J. D., BOEVE, B. F., LUPTON, M. K., BOWEN, J. D., PROITSI, P., BOXER, A., POWELL, J. F., BURKE, J. R., KAUWE, J. S. K., BURNS, J. M., MANCUSO, M., BUXBAUM, J. D., BONUCCELLI, U., CAIRNS, N. J., MCQUILLIN, A., CAO, C., LIVINGSTON, G., CARLSON, C. S., BASS, N. J., CARLSSON, C. M., HARDY, J., CARNEY, R. M., BRAS, J., CARRASQUILLO, M. M., GUERREIRO, R., ALLEN, M., CHUI, H. C., FISHER, E., MASULLO, C., CROCCO, E. A., DECARLI, C., BISCEGLIO, G., DICK, M., MA, L., DUARA, R., GRAFF-RADFORD, N. R., EVANS, D. A., HODGES, A., FABER, K. M., SCHERER, M., FALLON, K. B., RIEMENSCHNEIDER, M., FARDO, D. W., HEUN, R., FARLOW, M. R., KOLSCH, H., FERRIS, S., LEBER, M., FOROUD, T. M., HEUSER, I., GALASKO, D. R., GIEGLING, I., GEARING, M., HULL, M., GESCHWIND, D. H., GILBERT, J. R., MORRIS, J., GREEN, R. C., MAYO, K., GROWDON, J. H., FEULNER, T., HAMILTON, R. L., HARRELL, L. E., DRICHEL, D., HONIG, L. S., CUSHION, T. D., HUENTELMAN, M. J., HOLLINGWORTH, P., HULETTE, C. M., HYMAN, B. T., MARSHALL, R., JARVIK, G. P., MEGGY, A., ABNER, E., MENZIES, G. E., JIN, L. W., LEONENKO, G., REAL, L. M., JUN, G. R., BALDWIN, C. T., GROZEVA, D., KARYDAS, A., RUSSO, G., KAYE, J. A., KIM, R., JESSEN, F., KOWALL, N. W., VELLAS, B., KRAMER, J. H., VARDY, E., LAFERLA, F. M., JOCKEL, K. H., LAH, J. J., DICHGANS, M., LEVERENZ, J. B., MANN, D., LEVEY, A. I., PICKERING-BROWN, S., LIEBERMAN, A. P., KLOPP, N., LUNETTA, K. L., WICHMANN, H. E., LYKETSOS, C. G., MORGAN, K., MARSON, D. C., BROWN, K., MARTINIUK, F., MEDWAY, C., MASH, D. C., NOTHEN, M. M., MASLIAH, E., HOOPER, N. M., MCCORMICK, W. C., DANIELE, A., MCCURRY, S. M., BAYER, A., MCDAVID, A. N., GALLACHER, J., MCKEE, A. C., VAN DEN BUSSCHE, H., MESULAM, M., BRAYNE, C., MILLER, B. L., RIEDEL-HELLER, S., MILLER, C. A., MILLER, J. W., AL-CHALABI, A., MORRIS, J. C., SHAW, C. E., MYERS, A. J., WILTFANG, J., O'BRYANT, S., OLICHNEY, J. M., ALVAREZ, V., PARISI, J. E., SINGLETON, A. B., PAULSON, H. L., COLLINGE, J., PERRY, W. R., MEAD, S., PESKIND, E., CRIBBS, D. H., ROSSOR, M., PIERCE, A., RYAN, N. S., POON, W. W., NACMIAS, B., POTTER, H., SORBI, S., QUINN, J. F., SACCHINELLI, E., RAJ, A., SPALLETTA, G., RASKIND, M., CALTAGIRONE, C., BOSSU, P., ORFEI, M. D., REISBERG, B., CLARKE, R., REITZ, C., SMITH, A. D., RINGMAN, J. M., WARDEN, D., ROBERSON, E. D., WILCOCK, G., ROGAEVA, E., BRUNI, A. C., ROSEN, H. J., GALLO, M., ROSENBERG, R. N., BEN-SHLOMO, Y., SAGER, M. A., MECOCCI, P., SAYKIN, A. J., PASTOR, P., CUCCARO, M. L., VANCE, J. M., SCHNEIDER, J. A., SCHNEIDER, L. S., SLIFER, S., SEELEY, W. W., SMITH, A. G., SONNEN, J. A., SPINA, S., STERN, R. A., SWERDLOW, R. H., TANG, M., TANZI, R. E., TROJANOWSKI, J. Q., TRONCOSO, J. C., VAN DEERLIN, V. M., VAN ELDIK, L. J., VINTERS, H. V., VONSATTEL, J. P., WEINTRAUB, S., WELSH-BOHMER, K. A., WILHELMSEN, K. C., WILLIAMSON, J., WINGO, T. S., WOLTJER, R. L., WRIGHT, C. B., YU, C. E., YU, L., SABA, Y., PILOTTO, A., BULLIDO, M. J., PETERS, O., CRANE, P. K., BENNETT, D., BOSCO, P., COTO, E., BOCCARDI, V., DE JAGER, P. L., LLEO, A., WARNER, N., LOPEZ, O. L., INGELSSON, M., DELOUKAS, P., CRUCHAGA, C., GRAFF, C., GWILLIAM, R., FORNAGE, M., GOATE, A. M., SANCHEZ-JUAN, P., KEHOE, P. G., AMIN, N., ERTEKIN-TANER, N., BERR, C., DEBETTE, Stephanie, LOVE, S., LAUNER, L. J., YOUNKIN, S. G., DARTIGUES, Jean-Francois, CORCORAN, C., IKRAM, M. A., DICKSON, D. W., NICOLAS, G., CAMPION, D., TSCHANZ, J., SCHMIDT, H., HAKONARSON, H., CLARIMON, J., MUNGER, R., SCHMIDT, R., FARRER, L. A., VAN BROECKHOVEN, C., O'DONOVAN, M. C., DESTEFANO, A. L., JONES, L., HAINES, J. L., DELEUZE, J. F., OWEN, M. J., GUDNASON, V., MAYEUX, R., ESCOTT-PRICE, V., PSATY, B. M., RAMIREZ, A., WANG, L. S., RUIZ, A., VAN DUIJN, C. M., HOLMANS, P. A., SESHADRI, S., WILLIAMS, J., AMOUYEL, P., SCHELLENBERG, G. D., LAMBERT, J. C., PERICAK-VANCE, M. A., Clinical sciences, Neurology, and Pathologic Biochemistry and Physiology
Subjects: Medicine(all), MEDLINE, Medizin, Disease, Computational biology, Biology, medicine.disease, Article, Immunity, Alzheimer Disease, ddc:570, Meta-analysis, Genetics, medicine, Alzheimer's disease
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2019

6. Genome-wide association meta-analysis identifies five novel loci for age-related hearing impairment

Author: Nagtegaal, Paul, Broer, Linda, Zilhao, NR, Jakobsdottir, J, Bishop, CE, Brumat, M, Christiansen, MW, Cocca, M, Gao, Y, Heard-Costa, NL, Evans, DS, Pankratz, N, Pratt, SR, Price, T R, Spankovich, C, Stimson, MR, Valle, K, Vuckovic, D, Wells, H, Eiriksdottir, G, Fransen, E, Ikram, Arfan, Li, CM, Longstreth, WT, Steves, C, van Camp, G, Correa, A, Cruickshanks, KJ, Gasparini, P, Girotto, G, Kaplan, RC, Nalls, M, Schweinfurth, JM, Seshadri, S, Sotoodehnia, N, Tranah, GJ, Uitterlinden, André, Wilson, JG, Gudnason, V, Hoffman, HJ, Williams, FMK, Goedegebure, André, Nagtegaal, Paul, Broer, Linda, Zilhao, NR, Jakobsdottir, J, Bishop, CE, Brumat, M, Christiansen, MW, Cocca, M, Gao, Y, Heard-Costa, NL, Evans, DS, Pankratz, N, Pratt, SR, Price, T R, Spankovich, C, Stimson, MR, Valle, K, Vuckovic, D, Wells, H, Eiriksdottir, G, Fransen, E, Ikram, Arfan, Li, CM, Longstreth, WT, Steves, C, van Camp, G, Correa, A, Cruickshanks, KJ, Gasparini, P, Girotto, G, Kaplan, RC, Nalls, M, Schweinfurth, JM, Seshadri, S, Sotoodehnia, N, Tranah, GJ, Uitterlinden, André, Wilson, JG, Gudnason, V, Hoffman, HJ, Williams, FMK, and Goedegebure, André
Published: 2019

7. The impact of APOE genotype on survival: Results of 38,537 participants from six population-based cohorts (E2-CHARGE)

Author: Wolters, Frank, Yang, Q, Biggs, ML, Jakobsdottir, J, Li, S, Evans, DS, Bis, JCM, Harris, TB, Vasan, RS, Zilhao, NR, Ghanbari, Mohsen, Ikram, Arfan, Launer, L, Psaty, BM, Tranah, GJ, Kulminski, AM, Gudnason, V, Seshadri, S, Wolters, Frank, Yang, Q, Biggs, ML, Jakobsdottir, J, Li, S, Evans, DS, Bis, JCM, Harris, TB, Vasan, RS, Zilhao, NR, Ghanbari, Mohsen, Ikram, Arfan, Launer, L, Psaty, BM, Tranah, GJ, Kulminski, AM, Gudnason, V, and Seshadri, S
Published: 2019

8. Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease

Author: Sims, R., van der Lee, S.J., Naj, A.C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B.W., Boland, A., Raybould, R., Bis, J.C., Martin, E.R., Grenier-Boley, B., Heilmann-Heimbach, S., Chouraki, V., Kuzma, A.B., Sleegers, K., Vronskaya, M., Ruiz, A., Graham, R.R., Olaso, R., Hoffmann, P., Grove, M.L., Vardarajan, B.N., Hiltunen, M., Nöthen, M.M., White, C.C., Hamilton-Nelson, K.L., Epelbaum, J., Maier, W., Choi, S.H., Beecham, G.W., Dulary, C., Herms, S., Smith, A.V., Funk, C.C., Derbois, Forstner, A.J., Ahmad, S., Li, H., Bacq, D., Harold, D., Satizabal, C.L., Valladares, O., Squassina, A., Thomas, R., Brody, J.A., Qu, L., Sánchez-Juan, P., Morgan, T., Wolters, F.J., Zhao, Y., Garcia, F.S., Denning, N., Fornage, M., Malamon, J., Naranjo, M.C.D., Majounie, E., Mosley, T.H., Dombroski, B., Wallon, D., Lupton, M.K., Dupuis, J., Whitehead, P., Fratiglioni, L., Medway, C., Jian, X., Mukherjee, S., Keller, L., Brown, K., Lin, H., Cantwell, L.B., Panza, F., McGuinness, B., Moreno-Grau, S., Burgess, J.D., Solfrizzi, V., Proitsi, P., Adams, H.H., Allen, M., Seripa, D., Pastor, P., Cupples, L.A., Price, N.D., Hannequin, D., Frank-García, A., Levy, D., Chakrabarty, P., Caffarra, P., Giegling, I., Beiser, A.S., Giedraitis, V., Hampel, H., Garcia, M.E., Wang, X., Lannfelt, L., Mecocci, P., Eiriksdottir, G., Crane, P.K., Pasquier, F., Boccardi, V., Henández, I., Barber, R.C., Scherer, M., Tarraga, L., Adams, P.M., Leber, M., Chen, Y., Albert, M.S., Riedel-Heller, S., Emilsson, V., Beekly, D., Braae, A., Schmidt, R., Blacker, D., Masullo, C., Schmidt, H., Doody, R.S., Spalletta, G., Longstreth, W.T., Jr., Fairchild, T.J., Bossù, P., Lopez, O.L., Frosch, M.P., Sacchinelli, E., Ghetti, B., Yang, Q., Huebinger, R.M., Jessen, F., Li, S., Kamboh, M.I., Morris, J., Sotolongo-Grau, O., Katz, M.J., Corcoran, C., Dunstan, M., Braddel, A., Thomas, C., Meggy, A., Marshall, R., Gerrish, A., Chapman, J., Aguilar, M., Taylor, S., Hill, M., Fairén, M.D., Hodges, A., Vellas, B., Soininen, H., Kloszewska, I., Daniilidou, M., Uphill, J., Patel, Y., Hughes, J.T., Lord, J., Turton, J., Hartmann, A.M., Cecchetti, R., Fenoglio, C., Serpente, M., Arcaro, M., Caltagirone, C., Orfei, M.D., Ciaramella, A., Pichler, S., Mayhaus, M., Gu, W., Lleó, A., Fortea, J., Blesa, R., Barber, I.S., Brookes, K., Cupidi, C., Maletta, R.G., Carrell, D., Sorbi, S., Moebus, S., Urbano, M., Pilotto, A., Kornhuber, J., Bosco, P., Todd, S., Craig, D., Johnston, J., Gill, M., Lawlor, B., Lynch, A., Fox, N.C., Hardy, J., Albin, R.L., Apostolova, L.G., Arnold, S.E., Asthana, S., Atwood, C.S., Baldwin, C.T., Barnes, L.L., Barral, S., Beach, T.G., Becker, J.T., Bigio, E.H., Bird, T.D., Boeve, B.F., Bowen, J.D., Boxer, A., Burke, J.R., Burns, J.M., Buxbaum, J.D., Cairns, N.J., Cao, C., Carlson, C.S., Carlsson, C.M., Carney, R.M., Carrasquillo, M.M., Carroll, S.L., Diaz, C.C., Chui, H.C., Clark, D.G., Cribbs, D.H., Crocco, E.A., DeCarli, C., Dick, M., Duara, R., Evans, D.A., Faber, K.M., Fallon, K.B., Fardo, D.W., Farlow, M.R., Ferris, S., Foroud, T.M., Galasko, D.R., Gearing, M., Geschwind, D.H., Gilbert, J.R., Graff-Radford, N.R., Green, R.C., Growdon, J.H., Hamilton, R.L., Harrell, L.E., Honig, L.S., Huentelman, M.J., Hulette, C.M., Hyman, B.T., Jarvik, G.P., Abner, E., Jin, L.W., Jun, G., Karydas, A., Kaye, J.A., Kim, R., Kowall, N.W., Kramer, J.H., LaFerla, F.M., Lah, J.J., Leverenz, J.B., Levey, A.I., Li, G., Lieberman, A.P., Lunetta, K.L., Lyketsos, C.G., Marson, D.C., Martiniuk, F., Mash, D.C., Masliah, E., McCormick, W.C., McCurry, S.M., McDavid, A.N., McKee, A.C., Mesulam, M., Miller, B.L., Miller, C.A., Miller, J.W., Morris, J.C., Murrell, J.R., Myers, A.J., O'Bryant, S., Olichney, J.M., Pankratz, V.S., Parisi, J.E., Paulson, H.L., Perry, W., Peskind, E., Pierce, A., Poon, W.W., Potter, H., Quinn, J.F., Raj, A., Raskind, M., Reisberg, B., Reitz, C., Ringman, J.M., Roberson, E.D., Rogaeva, E., Rosen, H.J., Rosenberg, R.N., Sager, M.A., Saykin, A.J., Schneider, J.A., Schneider, L.S., Seeley, W.W., Smith, A.G., Sonnen, J.A., Spina, S., Stern, R.A., Swerdlow, R.H., Tanzi, R.E., Thornton-Wells, T.A., Trojanowski, J.Q., Troncoso, J.C., Van Deerlin, V.M., Van Eldik, L.J., Vinters, H.V., Vonsattel, J.P., Weintraub, S., Welsh-Bohmer, K.A., Wilhelmsen, K.C., Williamson, J., Wingo, T.S., Woltjer, R.L., Wright, C.B., Yu, C.E., Yu, L., Garzia, F., Golamaully, F., Septier, G., Engelborghs, S., Vandenberghe, R., De Deyn, P.P., Fernadez, C.M., Benito, Y.A., Thonberg, H., Forsell, C., Lilius, L., Kinhult-Stählbom, A., Kilander, L., Brundin, R., Concari, L., Helisalmi, S., Koivisto, A.M., Haapasalo, A., Dermecourt, V., Fievet, N., Hanon, O., Dufouil, C., Brice, A., Ritchie, K., Dubois, B., Himali, J.J., Keene, C.D., Tschanz, J., Fitzpatrick, A.L., Kukull, W.A., Norton, M., Aspelund, T., Larson, E.B., Munger, R., Rotter, J.I., Lipton, R.B., Bullido, M.J., Hofman, A., Montine, T.J., Coto, E., Boerwinkle, E., Petersen, R.C., Alvarez, V., Rivadeneira, F., Reiman, E.M., Gallo, M., O'Donnell, C.J., Reisch, J.S., Bruni, A.C., Royall, D.R., Dichgans, M., Sano, M., Galimberti, D., St George-Hyslop, P., Scarpini, E., Tsuang, D.W., Mancuso, M., Bonuccelli, U., Winslow, A.R., Daniele, A., Wu, C.K., Peters, O., Nacmias, B., Riemenschneider, M., Heun, R., Brayne, C., Rubinsztein, D.C., Bras, J., Guerreiro, R., Al-Chalabi, A., Shaw, C.E., Collinge, J., Mann, D., Tsolaki, M., Clarimón, J., Sussams, R., Lovestone, S., O'Donovan, M.C., Owen, M.J., Behrens, T.W., Mead, S., Goate, A.M., Uitterlinden, A.G., Holmes, C., Cruchaga, C., Ingelsson, M., Bennett, D.A., Powell, J., Golde, T.E., Graff, C., De Jager, P.L., Morgan, K., Ertekin-Taner, N., Combarros, O., Psaty, B.M., Passmore, P., Younkin, S.G., Berr, C., Gudnason, V., Rujescu, D., Dickson, D.W., Dartigues, J.F., DeStefano, A.L., Ortega-Cubero, S., Hakonarson, H., Campion, D., Boada, M., Kauwe, J.K., Farrer, L.A., Van Broeckhoven, C., Ikram, M.A., Jones, L., Haines, J.L., Tzourio, C., Launer, L.J., Escott-Price, V., Mayeux, R., Deleuze, J.F., Amin, N., Holmans, P.A., Pericak-Vance, M.A., Amouyel, P., van Duijn, C.M., Ramirez, A., Wang, L.S., Lambert, J.C., Seshadri, S., Williams, J., Schellenberg, G.D., Peloso, Gina M., van der Lee, Sven J., Destefano, Anita L., and Seshardi, Sudha
Published: 2018
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9. 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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10. Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease

Author: Peloso, Gina M., van der Lee, Sven J., Sims, R., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., Raybould, R., Bis, J. C., Martin, E. R., Grenier-Boley, B., Heilmann-Heimbach, S., Chouraki, V., Kuzma, A. B., Sleegers, K., Vronskaya, M., Ruiz, A., Graham, R. R., Olaso, R., Hoffmann, P., Grove, M. L., Vardarajan, B. N., Hiltunen, M., Nöthen, M. M., White, C. C., Hamilton-Nelson, K. L., Epelbaum, J., Maier, W., Choi, S. H., Beecham, G. W., Dulary, C., Herms, S., Smith, A. V., Funk, C. C., Derbois, Null, Forstner, A. J., Ahmad, S., Li, H., Bacq, D., Harold, D., Satizabal, C. L., Valladares, O., Squassina, A., Thomas, R., Brody, J. A., Qu, L., Sánchez-Juan, P., Morgan, T., Wolters, F. J., Zhao, Yu Yang, Garcia, F. S., Denning, N., Fornage, M., Malamon, J., Naranjo, M. C. D., Majounie, E., Mosley, T. H., Dombroski, B., Wallon, D., Lupton, M. K., Dupuis, J., Whitehead, P., Fratiglioni, L., Medway, C., Jian, X., Mukherjee, S., Keller, L., Brown, K., Lin, H., Cantwell, L. B., Panza, F., Mcguinness, B., Moreno-Grau, S., Burgess, J. D., Solfrizzi, V., Proitsi, P., Adams, H. H., Allen, M., Seripa, D., Pastor, P., Cupples, L. A., Price, N. D., Hannequin, D., Frank-García, A., Levy, D., Chakrabarty, P., Caffarra, P., Giegling, I., Beiser, A. S., Giedraitis, V., Hampel, H., Garcia, M. E., Wang, X., Lannfelt, L., Mecocci, P., Eiriksdottir, G., Crane, P. K., Pasquier, F., Boccardi, V., Henández, I., Barber, R. C., Scherer, M., Tarraga, L., Adams, P. M., Leber, M., Chen, Y., Albert, M. S., Riedel-Heller, S., Emilsson, V., Beekly, D., Braae, A., Schmidt, R., Blacker, D., Masullo, Carlo, Schmidt, H., Doody, R. S., Spalletta, Gianfranco, Longstreth, W. T., Fairchild, T. J., Bossù, P., Lopez, O. L., Frosch, M. P., Sacchinelli, E., Ghetti, B., Yang, Q., Huebinger, R. M., Jessen, F., Li, S., Kamboh, M. I., Morris, J., Sotolongo-Grau, O., Katz, M. J., Corcoran, C., Dunstan, M., Braddel, A., Thomas, C., Meggy, A., Marshall, R., Gerrish, A., Chapman, J., Aguilar, M., Taylor, S., Hill, M., Fairén, M. D., Hodges, A., Vellas, B., Soininen, H., Kloszewska, I., Daniilidou, M., Uphill, J., Patel, Y., Hughes, J. T., Lord, J., Turton, J., Hartmann, A. M., Cecchetti, R., Fenoglio Gaddo, Maria Cristina, Serpente, M., Arcaro, M., Caltagirone, C., Orfei, M. D., Ciaramella, A., Pichler, S., Mayhaus, M., Gu, W., Lleó, A., Fortea, J., Blesa, R., Barber, I. S., Brookes, K., Cupidi, C., Maletta, R. G., Carrell, D., Sorbi, S., Moebus, S., Urbano, M., Pilotto, A., Kornhuber, J., Bosco, P., Todd, S., Craig, D., Johnston, J., Gill, M., Lawlor, B., Lynch, A., Fox, N. C., Hardy, J., Albin, R. L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Baldwin, C. T., Barnes, L. L., Barral, S., Beach, T. G., Becker, J. T., Bigio, E. H., Bird, T. D., Boeve, B. F., Bowen, J. D., Boxer, A., Burke, J. R., Burns, J. M., Buxbaum, J. D., Cairns, N. J., Cao, C., Carlson, C. S., Carlsson, C. M., Carney, R. M., Carrasquillo, M. M., Carroll, S. L., Diaz, C. C., Chui, H. C., Clark, D. G., Cribbs, D. H., Crocco, E. A., Decarli, C., Dick, M., Duara, R., Evans, D. A., Faber, K. M., Fallon, K. B., Fardo, D. W., Farlow, M. R., Ferris, S., Foroud, T. M., Galasko, D. R., Gearing, M., Geschwind, D. H., Gilbert, J. R., Graff-Radford, N. R., Green, R. C., Growdon, J. H., Hamilton, R. L., Harrell, L. E., Honig, L. S., Huentelman, M. J., Hulette, C. M., Hyman, B. T., Jarvik, G. P., Abner, E., Jin, L. W., Jun, G., Karydas, A., Kaye, J. A., Kim, R., Kowall, N. W., Kramer, J. H., Laferla, F. M., Lah, J. J., Leverenz, J. B., Levey, A. I., Li Quadri Cassini, Giancarlo, Lieberman, A. P., Lunetta, K. L., Lyketsos, C. G., Marson, D. C., Martiniuk, F., Mash, D. C., Masliah, E., Mccormick, W. C., Mccurry, S. M., Mcdavid, A. N., Mckee, A. C., Mesulam, M., Miller, B. L., Miller, C. A., Miller, J. W., Morris, J. C., Murrell, J. R., Myers, A. J., O'Bryant, S., Olichney, J. M., Pankratz, V. S., Parisi, J. E., Paulson, H. L., Perry, W., Peskind, E., Pierce, A., Poon, W. W., Potter, H., Quinn, J. F., Raj, A., Raskind, M., Reisberg, B., Reitz, C., Ringman, J. M., Roberson, E. D., Rogaeva, E., Rosen, H. J., Rosenberg, R. N., Sager, M. A., Saykin, A. J., Schneider, J. A., Schneider, L. S., Seeley, W. W., Smith, A. G., Sonnen, J. A., Spina, S., Stern, R. A., Swerdlow, R. H., Tanzi, R. E., Thornton-Wells, T. A., Trojanowski, J. Q., Troncoso, J. C., Van Deerlin, V. M., Van Eldik, L. J., Vinters, H. V., Vonsattel, J. P., Weintraub, S., Welsh-Bohmer, K. A., Wilhelmsen, K. C., Williamson, J., Wingo, T. S., Woltjer, R. L., Wright, C. B., Yu, C. E., Yu, L., Garzia, F., Golamaully, F., Septier, G., Engelborghs, S., Vandenberghe, R., De Deyn, P. P., Fernadez, C. M., Benito, Y. A., Thonberg, H., Forsell, C., Lilius, L., Kinhult-Stählbom, A., Kilander, L., Brundin, R., Concari, L., Helisalmi, S., Koivisto, A. M., Haapasalo, A., Dermecourt, V., Fievet, N., Hanon, O., Dufouil, C., Brice, A., Ritchie, K., Dubois, B., Himali, J. J., Keene, C. D., Tschanz, J., Fitzpatrick, A. L., Kukull, W. A., Norton, M., Aspelund, T., Larson, E. B., Munger, R., Rotter, J. I., Lipton, R. B., Bullido, M. J., Hofman, A., Montine, T. J., Coto, E., Boerwinkle, E., Petersen, R. C., Alvarez, V., Rivadeneira, F., Reiman, E. M., Gallo, Massimiliano, O'Donnell, C. J., Reisch, J. S., Bruni, A. C., Royall, D. R., Dichgans, M., Sano, M., Galimberti, D., St George-Hyslop, P., Scarpini, E., Tsuang, D. W., Mancuso, M., Bonuccelli, U., Daniele, Antonio, Wu, C. K., Peters, O., Nacmias, B., Riemenschneider, M., Heun, R., Brayne, C., Rubinsztein, D. C., Bras, J., Guerreiro, R., Al-Chalabi, A., Shaw, C. E., Collinge, J., Mann, D., Tsolaki, M., Clarimón, J., Sussams, R., Lovestone, S., O'Donovan, M. C., Owen, M. J., Behrens, T. W., Mead, S., Goate, A. M., Uitterlinden, A. G., Holmes, C., Cruchaga, C., Ingelsson, M., Bennett, D. A., Powell, J., Golde, T. E., Graff, C., De Jager, P. L., Morgan, K., Ertekin-Taner, N., Combarros, O., Psaty, B. M., Passmore, P., Younkin, S. G., Berr, C., Gudnason, V., Rujescu, D., Dickson, D. W., Dartigues, J. F., Destefano, A. L., Ortega-Cubero, S., Hakonarson, H., Campion, D., Boada, M., Kauwe, J. K., Farrer, L. A., Van Broeckhoven, C., Ikram, M. A., Jones, L., Haines, J. L., Tzourio, C., Launer, L. J., Escott-Price, V., Mayeux, R., Deleuze, J. F., Amin, N., Holmans, P. A., Pericak-Vance, M. A., Amouyel, P., van Duijn, C. M., Ramirez, A., Wang, L. S., Lambert, J. C., Seshadri, S., Williams, J., Schellenberg, G. D., Destefano, Anita L., Seshardi, Sudha, Winslow, A. R., Masullo, C. (ORCID:0000-0001-7798-3410), Spalletta, G., Daniele, A. (ORCID:0000-0003-1641-5852), Peloso, Gina M., van der Lee, Sven J., Sims, R., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., Raybould, R., Bis, J. C., Martin, E. R., Grenier-Boley, B., Heilmann-Heimbach, S., Chouraki, V., Kuzma, A. B., Sleegers, K., Vronskaya, M., Ruiz, A., Graham, R. R., Olaso, R., Hoffmann, P., Grove, M. L., Vardarajan, B. N., Hiltunen, M., Nöthen, M. M., White, C. C., Hamilton-Nelson, K. L., Epelbaum, J., Maier, W., Choi, S. H., Beecham, G. W., Dulary, C., Herms, S., Smith, A. V., Funk, C. C., Derbois, Null, Forstner, A. J., Ahmad, S., Li, H., Bacq, D., Harold, D., Satizabal, C. L., Valladares, O., Squassina, A., Thomas, R., Brody, J. A., Qu, L., Sánchez-Juan, P., Morgan, T., Wolters, F. J., Zhao, Yu Yang, Garcia, F. S., Denning, N., Fornage, M., Malamon, J., Naranjo, M. C. D., Majounie, E., Mosley, T. H., Dombroski, B., Wallon, D., Lupton, M. K., Dupuis, J., Whitehead, P., Fratiglioni, L., Medway, C., Jian, X., Mukherjee, S., Keller, L., Brown, K., Lin, H., Cantwell, L. B., Panza, F., Mcguinness, B., Moreno-Grau, S., Burgess, J. D., Solfrizzi, V., Proitsi, P., Adams, H. H., Allen, M., Seripa, D., Pastor, P., Cupples, L. A., Price, N. D., Hannequin, D., Frank-García, A., Levy, D., Chakrabarty, P., Caffarra, P., Giegling, I., Beiser, A. S., Giedraitis, V., Hampel, H., Garcia, M. E., Wang, X., Lannfelt, L., Mecocci, P., Eiriksdottir, G., Crane, P. K., Pasquier, F., Boccardi, V., Henández, I., Barber, R. C., Scherer, M., Tarraga, L., Adams, P. M., Leber, M., Chen, Y., Albert, M. S., Riedel-Heller, S., Emilsson, V., Beekly, D., Braae, A., Schmidt, R., Blacker, D., Masullo, Carlo, Schmidt, H., Doody, R. S., Spalletta, Gianfranco, Longstreth, W. T., Fairchild, T. J., Bossù, P., Lopez, O. L., Frosch, M. P., Sacchinelli, E., Ghetti, B., Yang, Q., Huebinger, R. M., Jessen, F., Li, S., Kamboh, M. I., Morris, J., Sotolongo-Grau, O., Katz, M. J., Corcoran, C., Dunstan, M., Braddel, A., Thomas, C., Meggy, A., Marshall, R., Gerrish, A., Chapman, J., Aguilar, M., Taylor, S., Hill, M., Fairén, M. D., Hodges, A., Vellas, B., Soininen, H., Kloszewska, I., Daniilidou, M., Uphill, J., Patel, Y., Hughes, J. T., Lord, J., Turton, J., Hartmann, A. M., Cecchetti, R., Fenoglio Gaddo, Maria Cristina, Serpente, M., Arcaro, M., Caltagirone, C., Orfei, M. D., Ciaramella, A., Pichler, S., Mayhaus, M., Gu, W., Lleó, A., Fortea, J., Blesa, R., Barber, I. S., Brookes, K., Cupidi, C., Maletta, R. G., Carrell, D., Sorbi, S., Moebus, S., Urbano, M., Pilotto, A., Kornhuber, J., Bosco, P., Todd, S., Craig, D., Johnston, J., Gill, M., Lawlor, B., Lynch, A., Fox, N. C., Hardy, J., Albin, R. L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Baldwin, C. T., Barnes, L. L., Barral, S., Beach, T. G., Becker, J. T., Bigio, E. H., Bird, T. D., Boeve, B. F., Bowen, J. D., Boxer, A., Burke, J. R., Burns, J. M., Buxbaum, J. D., Cairns, N. J., Cao, C., Carlson, C. S., Carlsson, C. M., Carney, R. M., Carrasquillo, M. M., Carroll, S. L., Diaz, C. C., Chui, H. C., Clark, D. G., Cribbs, D. H., Crocco, E. A., Decarli, C., Dick, M., Duara, R., Evans, D. A., Faber, K. M., Fallon, K. B., Fardo, D. W., Farlow, M. R., Ferris, S., Foroud, T. M., Galasko, D. R., Gearing, M., Geschwind, D. H., Gilbert, J. R., Graff-Radford, N. R., Green, R. C., Growdon, J. H., Hamilton, R. L., Harrell, L. E., Honig, L. S., Huentelman, M. J., Hulette, C. M., Hyman, B. T., Jarvik, G. P., Abner, E., Jin, L. W., Jun, G., Karydas, A., Kaye, J. A., Kim, R., Kowall, N. W., Kramer, J. H., Laferla, F. M., Lah, J. J., Leverenz, J. B., Levey, A. I., Li Quadri Cassini, Giancarlo, Lieberman, A. P., Lunetta, K. L., Lyketsos, C. G., Marson, D. C., Martiniuk, F., Mash, D. C., Masliah, E., Mccormick, W. C., Mccurry, S. M., Mcdavid, A. N., Mckee, A. C., Mesulam, M., Miller, B. L., Miller, C. A., Miller, J. W., Morris, J. C., Murrell, J. R., Myers, A. J., O'Bryant, S., Olichney, J. M., Pankratz, V. S., Parisi, J. E., Paulson, H. L., Perry, W., Peskind, E., Pierce, A., Poon, W. W., Potter, H., Quinn, J. F., Raj, A., Raskind, M., Reisberg, B., Reitz, C., Ringman, J. M., Roberson, E. D., Rogaeva, E., Rosen, H. J., Rosenberg, R. N., Sager, M. A., Saykin, A. J., Schneider, J. A., Schneider, L. S., Seeley, W. W., Smith, A. G., Sonnen, J. A., Spina, S., Stern, R. A., Swerdlow, R. H., Tanzi, R. E., Thornton-Wells, T. A., Trojanowski, J. Q., Troncoso, J. C., Van Deerlin, V. M., Van Eldik, L. J., Vinters, H. V., Vonsattel, J. P., Weintraub, S., Welsh-Bohmer, K. A., Wilhelmsen, K. C., Williamson, J., Wingo, T. S., Woltjer, R. L., Wright, C. B., Yu, C. E., Yu, L., Garzia, F., Golamaully, F., Septier, G., Engelborghs, S., Vandenberghe, R., De Deyn, P. P., Fernadez, C. M., Benito, Y. A., Thonberg, H., Forsell, C., Lilius, L., Kinhult-Stählbom, A., Kilander, L., Brundin, R., Concari, L., Helisalmi, S., Koivisto, A. M., Haapasalo, A., Dermecourt, V., Fievet, N., Hanon, O., Dufouil, C., Brice, A., Ritchie, K., Dubois, B., Himali, J. J., Keene, C. D., Tschanz, J., Fitzpatrick, A. L., Kukull, W. A., Norton, M., Aspelund, T., Larson, E. B., Munger, R., Rotter, J. I., Lipton, R. B., Bullido, M. J., Hofman, A., Montine, T. J., Coto, E., Boerwinkle, E., Petersen, R. C., Alvarez, V., Rivadeneira, F., Reiman, E. M., Gallo, Massimiliano, O'Donnell, C. J., Reisch, J. S., Bruni, A. C., Royall, D. R., Dichgans, M., Sano, M., Galimberti, D., St George-Hyslop, P., Scarpini, E., Tsuang, D. W., Mancuso, M., Bonuccelli, U., Daniele, Antonio, Wu, C. K., Peters, O., Nacmias, B., Riemenschneider, M., Heun, R., Brayne, C., Rubinsztein, D. C., Bras, J., Guerreiro, R., Al-Chalabi, A., Shaw, C. E., Collinge, J., Mann, D., Tsolaki, M., Clarimón, J., Sussams, R., Lovestone, S., O'Donovan, M. C., Owen, M. J., Behrens, T. W., Mead, S., Goate, A. M., Uitterlinden, A. G., Holmes, C., Cruchaga, C., Ingelsson, M., Bennett, D. A., Powell, J., Golde, T. E., Graff, C., De Jager, P. L., Morgan, K., Ertekin-Taner, N., Combarros, O., Psaty, B. M., Passmore, P., Younkin, S. G., Berr, C., Gudnason, V., Rujescu, D., Dickson, D. W., Dartigues, J. F., Destefano, A. L., Ortega-Cubero, S., Hakonarson, H., Campion, D., Boada, M., Kauwe, J. K., Farrer, L. A., Van Broeckhoven, C., Ikram, M. A., Jones, L., Haines, J. L., Tzourio, C., Launer, L. J., Escott-Price, V., Mayeux, R., Deleuze, J. F., Amin, N., Holmans, P. A., Pericak-Vance, M. A., Amouyel, P., van Duijn, C. M., Ramirez, A., Wang, L. S., Lambert, J. C., Seshadri, S., Williams, J., Schellenberg, G. D., Destefano, Anita L., Seshardi, Sudha, Winslow, A. R., Masullo, C. (ORCID:0000-0001-7798-3410), Spalletta, G., and Daniele, A. (ORCID:0000-0003-1641-5852)
Abstract: Introduction: There is conflicting evidence whether high-density lipoprotein cholesterol (HDL-C) is a risk factor for Alzheimer's disease (AD) and dementia. Genetic variation in the cholesteryl ester transfer protein (CETP) locus is associated with altered HDL-C. We aimed to assess AD risk by genetically predicted HDL-C. Methods: Ten single nucleotide polymorphisms within the CETP locus predicting HDL-C were applied to the International Genomics of Alzheimer's Project (IGAP) exome chip stage 1 results in up 16,097 late onset AD cases and 18,077 cognitively normal elderly controls. We performed instrumental variables analysis using inverse variance weighting, weighted median, and MR-Egger. Results: Based on 10 single nucleotide polymorphisms distinctly predicting HDL-C in the CETP locus, we found that HDL-C was not associated with risk of AD (P >.7). Discussion: Our study does not support the role of HDL-C on risk of AD through HDL-C altered by CETP. This study does not rule out other mechanisms by which HDL-C affects risk of AD.
Published: 2018

11. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Author: Wessel, J, Chu, AY, Willems, SM, Wang, S, Yaghootkar, H, Brody, JA, Dauriz, M, Hivert, MF, Raghavan, S, Lipovich, L, Hidalgo, B, Fox, K, Huffman, JE, An, P, Lu, Y, Rasmussen-Torvik, LJ, Grarup, N, Ehm, MG, Li, L, Baldridge, AS, Stančáková, A, Abrol, R, Besse, C, Boland, A, Bork-Jensen, J, Fornage, M, Freitag, DF, Garcia, ME, Guo, X, Hara, K, Isaacs, A, Jakobsdottir, J, Lange, LA, Layton, JC, Li, M, Hua Zhao, J, Meidtner, K, Morrison, AC, Nalls, MA, Peters, MJ, Sabater-Lleal, M, Schurmann, C, Silveira, A, Smith, AV, Southam, L, Stoiber, MH, Strawbridge, RJ, Taylor, KD, Varga, TV, Allin, KH, Amin, N, Aponte, JL, Aung, T, Barbieri, C, Bihlmeyer, NA, Boehnke, M, Bombieri, C, Bowden, DW, Burns, SM, Chen, Y, Chen, YD, Cheng, CY, Correa, A, Czajkowski, J, Dehghan, A, Ehret, GB, Eiriksdottir, G, Escher, SA, Farmaki, AE, Frånberg, M, Gambaro, G, Giulianini, F, and Goddard, WA
Abstract: © 2015 Macmillan Publishers Limited. All rights reserved. Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01mmoll-1, P=3.4 × 10-12), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035pmolinsulinmmolglucose-1, P=0.048), but higher 2-h glucose (β=0.16±0.05mmoll-1, P=4.3 × 10-4). We identify a gene-based association with FG at G6PC2 (p SKAT =6.8 × 10-6) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004mmoll-1, P=1.3 × 10-8). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
Published: 2015

12. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Author: Wessel, J. Chu, A.Y. Willems, S.M. Wang, S. Yaghootkar, H. Brody, J.A. Dauriz, M. Hivert, M.-F. Raghavan, S. Lipovich, L. Hidalgo, B. Fox, K. Huffman, J.E. An, P. Lu, Y. Rasmussen-Torvik, L.J. Grarup, N. Ehm, M.G. Li, L. Baldridge, A.S. Stančáková, A. Abrol, R. Besse, C. Boland, A. Bork-Jensen, J. Fornage, M. Freitag, D.F. Garcia, M.E. Guo, X. Hara, K. Isaacs, A. Jakobsdottir, J. Lange, L.A. Layton, J.C. Li, M. Hua Zhao, J. Meidtner, K. Morrison, A.C. Nalls, M.A. Peters, M.J. Sabater-Lleal, M. Schurmann, C. Silveira, A. Smith, A.V. Southam, L. Stoiber, M.H. Strawbridge, R.J. Taylor, K.D. Varga, T.V. Allin, K.H. Amin, N. Aponte, J.L. Aung, T. Barbieri, C. Bihlmeyer, N.A. Boehnke, M. Bombieri, C. Bowden, D.W. Burns, S.M. Chen, Y. Chen, Y.-D. Cheng, C.-Y. Correa, A. Czajkowski, J. Dehghan, A. Ehret, G.B. Eiriksdottir, G. Escher, S.A. Farmaki, A.-E. Frånberg, M. Gambaro, G. Giulianini, F. Goddard, W.A. Goel, A. Gottesman, O. Grove, M.L. Gustafsson, S. Hai, Y. Hallmans, G. Heo, J. Hoffmann, P. Ikram, M.K. Jensen, R.A. Jørgensen, M.E. Jørgensen, T. Karaleftheri, M. Khor, C.C. Kirkpatrick, A. Kraja, A.T. Kuusisto, J. Lange, E.M. Lee, I.T. Lee, W.-J. Leong, A. Liao, J. Liu, C. Liu, Y. Lindgren, C.M. Linneberg, A. Malerba, G. Mamakou, V. Marouli, E. Maruthur, N.M. Matchan, A. McKean-Cowdin, R. McLeod, O. Metcalf, G.A. Mohlke, K.L. Muzny, D.M. Ntalla, I. Palmer, N.D. Pasko, D. Peter, A. Rayner, N.W. Renström, F. Rice, K. Sala, C.F. Sennblad, B. Serafetinidis, I. Smith, J.A. Soranzo, N. Speliotes, E.K. Stahl, E.A. Stirrups, K. Tentolouris, N. Thanopoulou, A. Torres, M. Traglia, M. Tsafantakis, E. Javad, S. Yanek, L.R. Zengini, E. Becker, D.M. Bis, J.C. Brown, J.B. Adrienne Cupples, L. Hansen, T. Ingelsson, E. Karter, A.J. Lorenzo, C. Mathias, R.A. Norris, J.M. Peloso, G.M. Sheu, W.H.-H. Toniolo, D. Vaidya, D. Varma, R. Wagenknecht, L.E. Boeing, H. Bottinger, E.P. Dedoussis, G. Deloukas, P. Ferrannini, E. Franco, O.H. Franks, P.W. Gibbs, R.A. Gudnason, V. Hamsten, A. Harris, T.B. Hattersley, A.T. Hayward, C. Hofman, A. Jansson, J.-H. Langenberg, C. Launer, L.J. Levy, D. Oostra, B.A. O'Donnell, C.J. O'Rahilly, S. Padmanabhan, S. Pankow, J.S. Polasek, O. Province, M.A. Rich, S.S. Ridker, P.M. Rudan, I. Schulze, M.B. Smith, B.H. Uitterlinden, A.G. Walker, M. Watkins, H. Wong, T.Y. Zeggini, E. Laakso, M. Borecki, I.B. Chasman, D.I. Pedersen, O. Psaty, B.M. Shyong Tai, E. Van Duijn, C.M. Wareham, N.J. Waterworth, D.M. Boerwinkle, E. Linda Kao, W.H. Florez, J.C. Loos, R.J.F. Wilson, J.G. Frayling, T.M. Siscovick, D.S. Dupuis, J. Rotter, J.I. Meigs, J.B. Scott, R.A. Goodarzi, M.O.
Abstract: Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01mmoll-1, P=3.4 × 10-12), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035pmolinsulin mmolglucose-1, P=0.048), but higher 2-h glucose (β=0.16±0.05mmoll-1, P=4.3 × 10-4). We identify a gene-based association with FG at G6PC2 (p SKAT =6.8 × 10-6) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004mmoll-1, P=1.3 × 10-8). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility. © 2015 Macmillan Publishers Limited. All rights reserved.
Published: 2015

13. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease

Author: Jakobsdottir, J, van der Lee, Sven, Bis, JC, Chouraki, V, Li-Kroeger, D, Yamamoto, S, Grove, ML, Naj, A, Vronskaya, M, Salazar, JL, DeStefano, AL, Brody, JA, Smith, AV, Amin, Najaf, Sims, R, Verbaas, Carla, Choi, SH, Satizabal, CL, Lopez, OL, Beiser, A, Ikram, Arfan, Garcia, ME, Hayward, C, Varga, TV, Ripatti, S, Franks, PW, Hallmans, G, Rolandsson, O, Jansson, JH, Porteous, DJ, Salomaa, V, Eiriksdottir, G, Rice, KM, Bellen, HJ, Levy, D, Uitterlinden, André, Emilsson, V, Rotter, JI, Aspelund, T, O'Donnell, CJ, Fitzpatrick, AL, Launer, LJ, Hofman, Bert, Wang, LS (Li-San), Williams, J, Schellenberg, GD, Boerwinkle, E, Psaty, BM, Seshadri, S, Shulman, JM, Gudnason, V, Duijn, Cornelia, Jakobsdottir, J, van der Lee, Sven, Bis, JC, Chouraki, V, Li-Kroeger, D, Yamamoto, S, Grove, ML, Naj, A, Vronskaya, M, Salazar, JL, DeStefano, AL, Brody, JA, Smith, AV, Amin, Najaf, Sims, R, Verbaas, Carla, Choi, SH, Satizabal, CL, Lopez, OL, Beiser, A, Ikram, Arfan, Garcia, ME, Hayward, C, Varga, TV, Ripatti, S, Franks, PW, Hallmans, G, Rolandsson, O, Jansson, JH, Porteous, DJ, Salomaa, V, Eiriksdottir, G, Rice, KM, Bellen, HJ, Levy, D, Uitterlinden, André, Emilsson, V, Rotter, JI, Aspelund, T, O'Donnell, CJ, Fitzpatrick, AL, Launer, LJ, Hofman, Bert, Wang, LS (Li-San), Williams, J, Schellenberg, GD, Boerwinkle, E, Psaty, BM, Seshadri, S, Shulman, JM, Gudnason, V, and Duijn, Cornelia
Abstract: We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (similar to 0.5% versus < 0.05% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES substudy, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95% CI) = 7.5 (3.5-15.9), p = 6.6x10(-9)]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the beta-amyloid cascade.
Published: 2016

14. Interpretation of genetic association studies: Markers with replicated highly significant odds ratios may be poor classifiers

Author: Jakobsdottir, J, Gorin, MB, Conley, YP, Ferrell, RE, Weeks, DE, Jakobsdottir, J, Gorin, MB, Conley, YP, Ferrell, RE, and Weeks, DE
Abstract: Recent successful discoveries of potentially causal single nucleotide polymorphisms (SNPs) for complex diseases hold great promise, and commercialization of genomics in personalized medicine has already begun. The hope is that genetic testing will benefit patients and their families, and encourage positive lifestyle changes and guide clinical decisions. However, for many complex diseases, it is arguable whether the era of genomics in personalized medicine is here yet. We focus on the clinical validity of genetic testing with an emphasis on two popular statistical methods for evaluating markers. The two methods, logistic regression and receiver operating characteristic (ROC) curve analysis, are applied to our age-related macular degeneration dataset. By using an additive model of the CFH, LOC387715, and C2 variants, the odds ratios are 2.9, 3.4, and 0.4, with p-values of 10 -13, 10-13, and 10-3, respectively. The area under the ROC curve (AUC) is 0.79, but assuming prevalences of 15%, 5.5%, and 1.5% (which are realistic for age groups 80 y, 65 y, and 40 y and older, respectively), only 30%, 12%, and 3% of the group classified as high risk are cases. Additionally, we present examples for four other diseases for which strongly associated variants have been discovered. In type 2 diabetes, our classification model of 12 SNPs has an AUC of only 0.64, and two SNPs achieve an AUC of only 0.56 for prostate cancer. Nine SNPs were not sufficient to improve the discrimination power over that of nongenetic predictors for risk of cardiovascular events. Finally, in Crohn's disease, a model of five SNPs, one with a quite low odds ratio of 0.26, has an AUC of only 0.66. Our analyses and examples show that strong association, although very valuable for establishing etiological hypotheses, does not guarantee effective discrimination between cases and controls. The scientific community should be cautious to avoid overstating the value of association findings in terms of personalized me
Published: 2009

15. C2 and CFB genes in Age-related maculopathy and joint action with CFH and LOC387715 genes

Author: Jakobsdottir, J, Conley, YP, Weeks, DE, Ferrell, RE, Gorin, MB, Jakobsdottir, J, Conley, YP, Weeks, DE, Ferrell, RE, and Gorin, MB
Abstract: Background: Age-related maculopathy (ARM) is a common cause of visual impairment in the elderly populations of industrialized countries and significantly affects the quality of life of those suffering from the disease. Variants within two genes, the complement factor H (CFH) and the poorly characterized LOC387715 (ARMS2), are widely recognized as ARM risk factors. CFH is important in regulation of the alternative complement pathway suggesting this pathway is involved in ARM pathogenesis. Two other complement pathway genes, the closely linked complement component receptor (C2) and complement factor B (CFB), were recently shown to harbor variants associated with ARM. Methods/Principal Findings: We investigated two SNPs in C2 and two in CFB in independent case-control and family cohorts of white subjects and found rs547154, an intronic SNP in C2, to be significantly associated with ARM in both our case-control (P-value 0.00007) and family data (P-value 0.00001). Logistic regression analysis suggested that accounting for the effect at this locus significantly (P-value 0.002) improves the fit of a genetic risk model of CFH and LOC387715 effects only. Modeling with the generalized multifactor dimensionality reduction method showed that adding C2 to the two-factor model of CFH and LOC387715 increases the sensitivity (from 63% to 73%). However, the balanced accuracy increases only from 71% to 72%, and the specificity decreases from 80% to 72%. Conclusions/Significance: C2/CFB significantly influences AMD susceptibility and although accounting for effects at this locus does not dramatically increase the overall accuracy of the genetic risk model, the improvement over the CFH-LOC387715 model is statistically significant. © 2008 Jakobsdottir et al.
Published: 2008

16. CFH, ELOVL4, PLEKHA1, and LOC387715 genes and susceptibility to age-related maculopathy: AREDS and CHS cohorts and meta-analyses

Author: Conley, Y.P., primary, Jakobsdottir, J., additional, Mah, T., additional, Weeks, D.E., additional, Klein, R., additional, Kuller, L., additional, Ferrell, R.E., additional, and Gorin, M.B., additional
Published: 2007
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17. 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.

18. Genome-wide association meta-analysis identifies five novel loci for age-related hearing impairment

Author: Adolfo Correa, Dragana Vuckovic, Chuang Ming Li, Sheila R. Pratt, Vilmundur Gudnason, Robert C. Kaplan, Massimiliano Cocca, Giorgia Girotto, Frances M K Williams, Nona Sotoodehnia, Christopher Spankovich, T. Ryan Price, Charles E. Bishop, Johanna Jakobsdottir, W. T. Longstreth, Howard J. Hoffman, Karen Valle, Mark W. Christiansen, Erik Fransen, Helena R R Wells, John M. Schweinfurth, André G. Uitterlinden, Mohammad Arfan Ikram, Guy Van Camp, Daniel S. Evans, Paolo Gasparini, Linda Broer, Gregory J. Tranah, Marco Brumat, Andries Paul Nagtegaal, Mike A. Nalls, Mary Rachel Stimson, Sudha Seshadri, Gudny Eiriksdottir, Karen J. Cruickshanks, Yan Gao, Nancy L. Heard-Costa, Nuno R. Zilhão, James G. Wilson, Nathan Pankratz, André Goedegebure, Claire J. Steves, Otorhinolaryngology and Head and Neck Surgery, Internal Medicine, Epidemiology, Nagtegaal, A. P., Broer, L., Zilhao, N. R., Jakobsdottir, J., Bishop, C. E., Brumat, M., Christiansen, M. W., Cocca, M., Gao, Y., Heard-Costa, N. L., Evans, D. S., Pankratz, N., Pratt, S. R., Price, T. R., Spankovich, C., Stimson, M. R., Valle, K., Vuckovic, D., Wells, H., Eiriksdottir, G., Fransen, E., Ikram, M. A., Li, C. -M., Longstreth, W. T., Steves, C., Van Camp, G., Correa, A., Cruickshanks, K. J., Gasparini, P., Girotto, G., Kaplan, R. C., Nalls, M., Schweinfurth, J. M., Seshadri, S., Sotoodehnia, N., Tranah, G. J., Uitterlinden, A. G., Wilson, J. G., Gudnason, V., Hoffman, H. J., Williams, F. M. K., and Goedegebure, A.
Subjects: 0301 basic medicine, Male, Aging, Auditory Pathways, Genome-wide association study, Audiology, Genome-wide association studies, Mice, 0302 clinical medicine, Genetics research, GWAS, age-related hearing lo, Multidisciplinary, Middle Aged, Phenotype, age-related hearing loss, Meta-analysis, Medicine, Female, medicine.symptom, medicine.medical_specialty, Hearing loss, Science, Single-nucleotide polymorphism, Biology, Article, ARHL, 03 medical and health sciences, medicine, otorhinolaryngologic diseases, SNP, Animals, Humans, Genetic Predisposition to Disease, Hearing Loss, Gene, Reproducibility of Results, Molecular Sequence Annotation, Genetic architecture, 030104 developmental biology, Gene Expression Regulation, Genetic Loci, Human medicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Previous research has shown that genes play a substantial role in determining a person’s susceptibility to age-related hearing impairment. The existing studies on this subject have different results, which may be caused by difficulties in determining the phenotype or the limited number of participants involved. Here, we have gathered the largest sample to date (discovery n = 9,675; replication n = 10,963; validation n = 356,141), and examined phenotypes that represented low/mid and high frequency hearing loss on the pure tone audiogram. We identified 7 loci that were either replicated and/or validated, of which 5 loci are novel in hearing. Especially the ILDR1 gene is a high profile candidate, as it contains our top SNP, is a known hearing loss gene, has been linked to age-related hearing impairment before, and in addition is preferentially expressed within hair cells of the inner ear. By verifying all previously published SNPs, we can present a paper that combines all new and existing findings to date, giving a complete overview of the genetic architecture of age-related hearing impairment. This is of importance as age-related hearing impairment is highly prevalent in our ageing society and represents a large socio-economic burden.
Published: 2019

19. A catalog of genetic loci associated with kidney function from analyses of a million individuals

Author: Wuttke, Matthias, Li, Yong, Li, Man, Sieber, Karsten B., Feitosa, Mary F., Gorski, Mathias, Tin, Adrienne, Wang, Lihua, Chu, Audrey Y., Hoppmann, Anselm, Kirsten, Holger, Giri, Ayush, Chai, Jin-Fang, Sveinbjornsson, Gardar, Tayo, Bamidele O., Nutile, Teresa, Fuchsberger, Christian, Marten, Jonathan, Cocca, Massimiliano, Ghasemi, Sahar, Xu, Yizhe, Horn, Katrin, Noce, Damia, van der Most, Peter J., Sedaghat, Sanaz, Yu, Zhi, Akiyama, Masato, Afaq, Saima, Ahluwalia, Tarunveer S., Almgren, Peter, Amin, Najaf, Ärnlöv, Johan, Bakker, Stephan J. L., Bansal, Nisha, Baptista, Daniela, Bergmann, Sven, Biggs, Mary L., Biino, Ginevra, Boehnke, Michael, Boerwinkle, Eric, Boissel, Mathilde, Bottinger, Erwin P., Boutin, Thibaud S., Brenner, Hermann, Brumat, Marco, Burkhardt, Ralph, Butterworth, Adam S., Campana, Eric, Campbell, Archie, Campbell, Harry, Canouil, Mickaël, Carroll, Robert J., Catamo, Eulalia, Chambers, John C., Chee, Miao-Ling, Chee, Miao-Li, Chen, Xu, Cheng, Ching-Yu, Cheng, Yurong, Christensen, Kaare, Cifkova, Renata, Ciullo, Marina, Pina Concas, Maria, Cook, James P., Coresh, Josef, Corre, Tanguy, Sala, Cinzia Felicita, Cusi, Daniele, Danesh, John, Daw, E. Warwick, de Borst, Martin H., De Grandi, Alessandro, de Mutsert, Renée, de Vries, Aiko P. J., Degenhardt, Frauke, Delgado, Graciela, Demirkan, Ayse, Di Angelantonio, Emanuele, Dittrich, Katalin, Divers, Jasmin, Dorajoo, Rajkumar, Eckardt, Kai-Uwe, Ehret, Georg, Elliott, Paul, Endlich, Karlhans, Evans, Michele K., Felix, Janine F., Foo, Valencia Hui Xian, Franco, Oscar H., Franke, Andre, Freedman, Barry I., Freitag-Wolf, Sandra, Friedlander, Yechiel, Froguel, Philippe, Gansevoort, Ron T., Gao, He, Gasparini, Paolo, Gaziano, J. Michael, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Giulianini, Franco, Gögele, Martin, Gordon, Scott D., Gudbjartsson, Daniel F., Gudnason, Vilmundur, Haller, Toomas, Hamet, Pavel, Harris, Tamara B., Hartman, Catharina A., Hayward, Caroline, Hellwege, Jacklyn N., Heng, Chew-Kiat, Hickst, Andrew A., Hofer, Edith, Huang, Wei, Hutri-Kähönen, Nina, Hwang, Shih-Jen, ikram, M. Arfan, indridason, Olafur S., Ingelsson, Erik, ising, Marcus, Jaddoe, Vincent W. V., Jakobsdottir, Johanna, Jonas, Jost B, Joshi, Peter K., Shilpa Josyula, Navya, Jung, Bettina, Kähönen, Mika, Kamatani, Yoichiro, Kammerer, Candace M., Kanai, Masahiro, Kastarinen, Mika, Kerr, Shona M., Khor, Chiea-Chuen, Kiess, Wieland, Kleber, Marcus E., Koenig, Wolfgang, Kooner, Jaspal S., Körner, Antje, Kovacs, Peter, Kraja, Aldi T., Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard K., Kronenberg, Florian, Kubo, Michiaki, Kühnel, Brigitte, Kuokkanen, Mikko, Kuusisto, Johanna, La Bianca, Martina, Laakso, Markku, Lange, Leslie A., Langefeld, Carl D., Jen-Mai Lee, Jeannette, Lehne, Benjamin, Lehtimäki, Terho, Lieb, Wolfgang, Cohort Study, Lifelines, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M., Liu, Jun, Liu, Jianjun, Loeffler, Markus, Loos, Ruth J. F., Lucae, Susanne, Ann Lukas, Mary, Lyytikäinen, Leo-Pekka, Mägi, Reedik, Magnusson, Patrik K. E., Mahajan, Anubha, Martin, Nicholas G., Martins, Jade, März, Winfried, Mascalzoni, Deborah, Matsuda, Koichi, Christa Meisinger, Meitinger, Thomas, Melander, Olle, Metspalu, Andres, Mikaelsdottir, Evgenia K., Milaneschi, Yuri, Miliku, Kozeta, Mishra, Pashupati P., Veteran Program, V. A. Million, Mohlke, Karen L., Mononen, Nina, Montgomery, Grant W., Mook-Kanamori, Dennis O., Mychaleckyj, Josyf C., Nadkarni, Girish N, Nalls, Mike A., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, ilja M., Noordam, Raymond, O’Connell, Jeffrey, O’Donoghue, Michelle L., Olafsson, Isleifur, Oldehinkel, Albertine J., Orho-Melander, Marju, Ouwehand, Willem H., Padmanabhan, Sandosh, Palmer, Nicholette D., Palsson, Runolfur, Penninx, Brenda W. J. H., Perls, Thomas, Perola, Markus, Pirastu, Mario, Pirastu, Nicola, Pistis, Giorgio, Podgornaia, Anna I., Polasek, Ozren, Ponte, Belen, Porteous, David J., Poulain, Tanja, Pramstaller, Peter P., Preuss, Michael H., Prins, Bram P., Province, Michael A., Rabelink, Ton J., Raffield, Laura M., Raitakari, Olli T., Reilly, Dermot F., Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M., Ridker, Paul M., Rivadeneira, Fernando, Rizzi, Federica, Roberts, David J., Robino, Antonietta, Rossing, Peter, Rudan, Igor, Rueedi, Rico, Ruggiero, Daniela, Ryan, Kathleen A., Saba, Yasaman, Sabanayagam, Charumathi, Salomaa, Veikko, Salvi, Erika, Saum, Kai-Uwe, Schmidt, Helena, Schmidt, Reinhold, Schöttker, Ben, Schulz, Christina-Alexandra, Schupf, Nicole, Shaffer, Christian M., Shi, Yuan, Smith, Albert V., Smith, Blair H., Soranzo, Nicole, Spracklen, Cassandra N., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Svensson, Per O., Szymczak, Silke, Tai, E-Shyong, Tajuddin, Salman M., Tan, Nicholas Y. Q., Taylor, Kent D., Teren, Andrej, Tham, Yih-Chung, Thiery, Joachim, Thio, Chris H. L., Thomsen, Hauke, Thorleifsson, Gudmar, Toniolo, Daniela, Tönjes, Anke, Tremblay, Johanne, Tzoulaki, Ioanna, Uitterlinden, André G., Vaccargiu, Simona, van Dam, Rob M., van der Harst, Pim, van Duijn, Cornelia M., Velez Edward, Digna R., Verweij, Niek, Vogelezang, suzanne, Völker, üwe, Vollenweider, Peter, Waeber, Gerard, Waldenberger, Melanie, Wallentin, Lars, Wang, Ya Xing, Wang, Chaolong, Waterworth, Dawn M., Bin Wei, Wen, White, Harvey, Whitfield, John B., Wild, Sarah H., Wilson, James F., Wojczynski, Mary K., Wong, Charlene, Wong, Tien-Yin, Xu, Liang, Yang, Qiong, Yasuda, Masayuki, Yerges-Armstrong, Laura M., Zhang, Weihua, Zonderman, Alan B., Rotter, Jerome I., Bochud, Murielle, Psaty, Bruce M., Vitart, Veronique, Wilson, James G., Dehghan, Abbas, Parsa, Afshin, Chasman, Daniel I., Ho, Kevin, Morris, Andrew P., Devuyst, Olivier, Akilesh, Shreeram, Pendergrass, Sarah A., Sim, Xueling, Böger, Carsten A., Okada, Yukinori, Edwards, Todd L., Snieder, Harold, Stefansson, Kari, Hung, Adriana M., Heid, Iris M., Markus Scholz, Teumer, Alexander, Köttgen, Anna, Pattaro, Cristian, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Internal Medicine, Epidemiology, Erasmus MC other, Pediatrics, Psychiatry, APH - Mental Health, APH - Digital Health, Wuttke, M, Li, Y, Li, M, Sieber, Kb, Feitosa, Mf, Gorski, M, Tin, A, Wang, L, Chu, Ay, Hoppmann, A, Kirsten, H, Giri, A, Chai, Jf, Sveinbjornsson, G, Tayo, Bo, Nutile, T, Fuchsberger, C, Marten, J, Cocca, M, Ghasemi, S, Xu, Y, Horn, K, Noce, D, van der Most, Pj, Sedaghat, S, Yu, Z, Akiyama, M, Afaq, S, Ahluwalia, T, Almgren, P, Amin, N, Ärnlöv, J, Bakker, Sjl, Bansal, N, Baptista, D, Bergmann, S, Biggs, Ml, Biino, G, Boehnke, M, Boerwinkle, E, Boissel, M, Bottinger, Ep, Boutin, T, Brenner, H, Brumat, M, Burkhardt, R, Butterworth, A, Campana, Eric, Campbell, A, Campbell, H, Canouil, M, Carroll, Rj, Catamo, E, Chambers, Jc, Chee, Ml, Chen, X, Cheng, Cy, Cheng, Y, Christensen, K, Cifkova, R, Ciullo, M, Concas, Mp, Cook, Jp, Coresh, J, Corre, T, Sala, Cf, Cusi, D, Danesh, J, Daw, Ew, de Borst, Mh, De Grandi, A, de Mutsert, R, de Vries, Apj, Degenhardt, F, Delgado, G, Demirkan, A, Di Angelantonio, E, Dittrich, K, Divers, J, Dorajoo, R, Eckardt, Ku, Ehret, G, Elliott, P, Endlich, K, Evans, Mk, Felix, Jf, Foo, Vhx, Franco, Oh, Franke, A, Freedman, Bi, Freitag-Wolf, S, Friedlander, Y, Froguel, P, Gansevoort, Rt, Gao, H, Gasparini, P, Gaziano, Jm, Giedraitis, V, Gieger, C, Girotto, G, Giulianini, F, Gögele, M, Gordon, Sd, Gudbjartsson, Df, Gudnason, V, Haller, T, Hamet, P, Harris, Tb, Hartman, Ca, Hayward, C, Hellwege, Jn, Heng, Ck, Hicks, Aa, Hofer, E, Huang, W, Hutri-Kähönen, N, Hwang, Sj, Ikram, Ma, Indridason, O, Ingelsson, E, Ising, M, Jaddoe, Vwv, Jakobsdottir, J, Jonas, Jb, Joshi, Pk, Josyula, N, Jung, B, Kähönen, M, Kamatani, Y, Kammerer, Cm, Kanai, M, Kastarinen, M, Kerr, Sm, Khor, Cc, Kiess, W, Kleber, Me, Koenig, W, Kooner, J, Körner, A, Kovacs, P, Kraja, At, Krajcoviechova, A, Kramer, H, Krämer, Bk, Kronenberg, F, Kubo, M, Kühnel, B, Kuokkanen, M, Kuusisto, J, La Bianca, M, Laakso, M, Lange, La, Langefeld, Cd, Lee, Jj, Lehne, B, Lehtimäki, T, Lieb, W, Lifelines Cohort, Study, Lim, Sc, Lind, L, Lindgren, Cm, Liu, J, Loeffler, M, Loos, Rjf, Lucae, S, Lukas, Ma, Lyytikäinen, Lp, Mägi, R, Magnusson, Pke, Mahajan, A, Martin, Ng, Martins, J, März, W, Mascalzoni, D, Matsuda, K, Meisinger, C, Meitinger, T, Melander, O, Metspalu, A, Mikaelsdottir, Ek, Milaneschi, Y, Miliku, K, Mishra, Pp, V. A., Million Veteran Program, Mohlke, Kl, Mononen, N, Montgomery, Gw, Mook-Kanamori, Do, Mychaleckyj, Jc, Nadkarni, Gn, Nalls, Ma, Nauck, M, Nikus, K, Ning, B, Nolte, Im, Noordam, R, O'Connell, J, O'Donoghue, Ml, Olafsson, I, Oldehinkel, Aj, Orho-Melander, M, Ouwehand, Wh, Padmanabhan, S, Palmer, Nd, Palsson, R, Penninx, Bwjh, Perls, T, Perola, M, Pirastu, M, Pirastu, N, Pistis, G, Podgornaia, Ai, Polasek, O, Ponte, B, Porteous, Dj, Poulain, T, Pramstaller, Pp, Preuss, Mh, Prins, Bp, Province, Ma, Rabelink, Tj, Raffield, Lm, Raitakari, Ot, Reilly, Df, Rettig, R, Rheinberger, M, Rice, Km, Ridker, Pm, Rivadeneira, F, Rizzi, F, Roberts, Dj, Robino, A, Rossing, P, Rudan, I, Rueedi, R, Ruggiero, D, Ryan, Ka, Saba, Y, Sabanayagam, C, Salomaa, V, Salvi, E, Saum, Ku, Schmidt, H, Schmidt, R, Schöttker, B, Schulz, Ca, Schupf, N, Shaffer, Cm, Shi, Y, Smith, Av, Smith, Bh, Soranzo, N, Spracklen, Cn, Strauch, K, Stringham, Hm, Stumvoll, M, Svensson, Po, Szymczak, S, Tai, E, Tajuddin, Sm, Tan, Nyq, Taylor, Kd, Teren, A, Tham, Yc, Thiery, J, Thio, Chl, Thomsen, H, Thorleifsson, G, Toniolo, D, Tönjes, A, Tremblay, J, Tzoulaki, I, Uitterlinden, Ag, Vaccargiu, S, van Dam, Rm, van der Harst, P, van Duijn, Cm, Velez Edward, Dr, Verweij, N, Vogelezang, S, Völker, U, Vollenweider, P, Waeber, G, Waldenberger, M, Wallentin, L, Wang, Yx, Wang, C, Waterworth, Dm, Bin Wei, W, White, H, Whitfield, Jb, Wild, Sh, Wilson, Jf, Wojczynski, Mk, Wong, C, Wong, Ty, Xu, L, Yang, Q, Yasuda, M, Yerges-Armstrong, Lm, Zhang, W, Zonderman, Ab, Rotter, Ji, Bochud, M, Psaty, Bm, Vitart, V, Wilson, Jg, Dehghan, A, Parsa, A, Chasman, Di, Ho, K, Morris, Ap, Devuyst, O, Akilesh, S, Pendergrass, Sa, Sim, X, Böger, Ca, Okada, Y, Edwards, Tl, Snieder, H, Stefansson, K, Hung, Am, Heid, Im, Scholz, M, Teumer, A, Köttgen, A, and Pattaro, C.
Subjects: catalog, Inheritance Patterns, Hasso-Plattner-Institut für Digital Engineering GmbH, Genome-wide association study, Disease, Kidney Function Tests, Bioinformatics, DISEASE, 0302 clinical medicine, Uromodulin/urine, kidney function, 11 Medical and Health Sciences, Genetics & Heredity, ddc:616, 0303 health sciences, Kidney, Genome-wide association, HERITABILITY, GENOME-WIDE ASSOCIATION, COMMON VARIANTS, RENAL-FUNCTION, TRANS-EQTLS, METAANALYSIS, TRANSPORTER, CLASSIFICATION, INTEGRATION, Chromosome Mapping, 3. Good health, Phenotype, medicine.anatomical_structure, Medical genetics, Common variants, Renal function, Trans-EQTLS, Metaanalysis, Heritability, Transporter, Life Sciences & Biomedicine, Glomerular Filtration Rate, Metaanalysi, medicine.medical_specialty, Genotype, European Continental Ancestry Group, Quantitative Trait Loci, Common variant, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, White People, V. A. Million Veteran Program, 03 medical and health sciences, Quantitative Trait, Heritable, Lifelines Cohort Study, Uromodulin, Genetics, medicine, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic, Genetic Association Studies, 030304 developmental biology, Genetic association, Science & Technology, urogenital system, association, genetic loci, 06 Biological Sciences, medicine.disease, Renal Insufficiency, Chronic/genetics/physiopathology/urine, Genetic Association Studies/methods, ddc:000, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study, Kidney disease
Abstract: Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Published: 2019

20. Sexual violence in the workplace and associated health outcomes: a nationwide, cross-sectional analysis of women in Iceland.

Author: Jonsdottir SD, Thordardottir EB, Valdimarsdottir UA, Halldorsdottir T, Gudnadottir SA, Jakobsdottir J, Runarsdottir H, Tomasson G, Aspelund T, and Hauksdottir A
Subjects: Humans, Iceland epidemiology, Female, Cross-Sectional Studies, Middle Aged, Adult, Adolescent, Young Adult, Aged, Workplace Violence statistics & numerical data, Sex Offenses statistics & numerical data
Abstract: Background: Workplace sexual violence against women is a pressing global issue with scarce knowledge on its health implications. Existing research is largely limited to specific occupations, which calls for comprehensive, population-based studies. This study aimed to examine the associations between self-labelled workplace sexual violence and a variety of health outcomes in a nationally representative sample of Icelandic women aged 18-69 years., Methods: Participants in this cross-sectional study were women in the Stress-And-Gene-Analysis (SAGA) cohort who answered the question regarding workplace sexual violence, defined in our study as encompassing all work sectors, academic settings, and other school environments. Eligible participants were women, aged 18-69 years, residing in Iceland, who spoke Icelandic and were listed in the Icelandic Population Register or had a contact number registered with the online 1819 service. Poisson and binomial regressions were used to assess the associations between workplace sexual violence and validated measures of current mental and physical health outcomes (eg, probable depression, general anxiety, and severe sleep problems). Multiple imputation was performed to account for missing values in the dataset., Findings: The study was conducted from March 1, 2018, to July 1, 2019. Of the 113 814 women deemed eligible for study inclusion, 104 197 were invited to take part in the online survey. Of those invited, 30 403 women completed the survey and were included in the SAGA cohort. Among these participants, 15 812 provided answers to the question regarding exposure to workplace sexual harassment or violence. Exposure to sexual violence was associated with an increased prevalence of probable depression (prevalence ratio [PR] 1·50 [95% CI 1·41-1·60]), general anxiety (PR 1·49 [1·40-1·59]), social phobia (PR 1·62 [1·48-1·78]), self-harm (PR 1·86 [1·53-2·28]), suicidal ideation (PR 1·68 [1·44-1·68]), suicide attempts (PR 1·99 [1·62-2·44]), binge drinking (PR 1·10 [1·01-1·20]), sleep problems (PR 1·41 [1·48-1·91]), physical symptoms (PR 1·59 [1·48-1·70]), and sick leave (PR 1·20 [1·12-1·28]). The prevalence of the health outcomes among those exposed show age-related differences: younger women report anxiety or depression more frequently, while older women report sleep problems after experiencing workplace sexual violence., Interpretation: In this cross-sectional study self-reported experiences of sexual violence in the workplace were associated with several self-reported health outcomes. The findings suggest a need for targeted interventions to promote workplace safety and to mitigate adverse health implications among people who have experienced workplace sexual violence. Future research should explore factors such as the frequency, duration, and relationship dynamics of workplace sexual violence, as well as the effect on different genders and sexual orientations, to deepen our understanding of these experiences and inform effective prevention strategies., Funding: Reykjavík Energy Research Fund, The Icelandic Gender Equality Fund, European Research Council, and Icelandic Center for Research., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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21. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization.

Author: Willems SM, Ng NHJ, Fernandez J, Fine RS, Wheeler E, Wessel J, Kitajima H, Marenne G, Sim X, Yaghootkar H, Wang S, Chen S, Chen Y, Chen YI, Grarup N, Li-Gao R, Varga TV, Asimit JL, Feng S, Strawbridge RJ, Kleinbrink EL, Ahluwalia TS, An P, Appel EV, Arking DE, Auvinen J, Bielak LF, Bihlmeyer NA, Bork-Jensen J, Brody JA, Campbell A, Chu AY, Davies G, Demirkan A, Floyd JS, Giulianini F, Guo X, Gustafsson S, Jackson AU, Jakobsdottir J, Järvelin MR, Jensen RA, Kanoni S, Keinanen-Kiukaanniemi S, Li M, Lu Y, Luan J, Manning AK, Marten J, Meidtner K, Mook-Kanamori DO, Muka T, Pistis G, Prins B, Rice KM, Sanna S, Smith AV, Smith JA, Southam L, Stringham HM, Tragante V, van der Laan SW, Warren HR, Yao J, Yiorkas AM, Zhang W, Zhao W, Graff M, Highland HM, Justice AE, Marouli E, Medina-Gomez C, Afaq S, Alhejily WA, Amin N, Asselbergs FW, Bonnycastle LL, Bots ML, Brandslund I, Chen J, Danesh J, de Mutsert R, Dehghan A, Ebeling T, Elliott P, Farmaki AE, Faul JD, Franks PW, Franks S, Fritsche A, Gjesing AP, Goodarzi MO, Gudnason V, Hallmans G, Harris TB, Herzig KH, Hivert MF, Jørgensen T, Jørgensen ME, Jousilahti P, Kajantie E, Karaleftheri M, Kardia SLR, Kinnunen L, Koistinen HA, Komulainen P, Kovacs P, Kuusisto J, Laakso M, Lange LA, Launer LJ, Leong A, Lindström J, Manning Fox JE, Männistö S, Maruthur NM, Moilanen L, Mulas A, Nalls MA, Neville M, Pankow JS, Pattie A, Petersen ERB, Puolijoki H, Rasheed A, Redmond P, Renström F, Roden M, Saleheen D, Saltevo J, Savonen K, Sebert S, Skaaby T, Small KS, Stančáková A, Stokholm J, Strauch K, Tai ES, Taylor KD, Thuesen BH, Tönjes A, Tsafantakis E, Tuomi T, Tuomilehto J, Uusitupa M, Vääräsmäki M, Vaartjes I, Zoledziewska M, Abecasis G, Balkau B, Bisgaard H, Blakemore AI, Blüher M, Boeing H, Boerwinkle E, Bønnelykke K, Bottinger EP, Caulfield MJ, Chambers JC, Chasman DI, Cheng CY, Collins FS, Coresh J, Cucca F, de Borst GJ, Deary IJ, Dedoussis G, Deloukas P, den Ruijter HM, Dupuis J, Evans MK, Ferrannini E, Franco OH, Grallert H, Hansen T, Hattersley AT, Hayward C, Hirschhorn JN, Ikram A, Ingelsson E, Karpe F, Kaw KT, Kiess W, Kooner JS, Körner A, Lakka T, Langenberg C, Lind L, Lindgren CM, Linneberg A, Lipovich L, Liu CT, Liu J, Liu Y, Loos RJF, MacDonald PE, Mohlke KL, Morris AD, Munroe PB, Murray A, Padmanabhan S, Palmer CNA, Pasterkamp G, Pedersen O, Peyser PA, Polasek O, Porteous D, Province MA, Psaty BM, Rauramaa R, Ridker PM, Rolandsson O, Rorsman P, Rosendaal FR, Rudan I, Salomaa V, Schulze MB, Sladek R, Smith BH, Spector TD, Starr JM, Stumvoll M, van Duijn CM, Walker M, Wareham NJ, Weir DR, Wilson JG, Wong TY, Zeggini E, Zonderman AB, Rotter JI, Morris AP, Boehnke M, Florez JC, McCarthy MI, Meigs JB, Mahajan A, Scott RA, Gloyn AL, and Barroso I
Abstract: Background: Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways., Methods: To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses., Results: Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology., Conclusions: Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries., Competing Interests: Competing interests: Rebecca S. Fine: Rebecca S. Fine is currently employed by Vertex Pharmaceuticals Incorporated. Audrey Y Chu: Currently employed by GlaxoSmithkline. Dennis O. Mook-Kanamori: Dennis Mook-Kanamori is working as a part-time clinical research consultant for Metabolon, Inc. Paul W. Franks: PWF has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project. Mike A. Nalls: Dr. Mike A. Nalls is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. Dr. Nalls also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. Mark J. Caulfield: MJC is Chief Scientist for Genomics England, a UK government company. Joel N. Hirschhorn: JHN is on the scientific advisory board of Camp4 Therapeutics. Erik Ingelsson: Erik Ingelsson is now an employee of GlaxoSmithKline. Anubha Mahajan: Anubha Mahajan is an employee of Genentech since January 2020, and a holder of Roche stock. Mark I McCarthy: The views expressed in this article are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health. MMcC has served on advisory panels for Pfizer, NovoNordisk and Zoe Global, has received honoraria from Merck, Pfizer, Novo Nordisk and Eli Lilly, and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda. As of June 2019, MMcC is an employee of Genentech, and a holder of Roche stock. Inês Barroso: IB and spouse declare stock ownership in GlaxoSmithkline and Incyte Ltd. James B. Meigs: JBM serves as an Academic Associate for Quest Diagnostics R&D Bruce M Psaty serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Dr. Sander W. van der Laan has received Roche funding for unrelated work. Matthias Blüher received honoraria as a consultant and speaker from Amgen, AstraZeneca, Bayer, Boehringer-Ingelheim, Lilly, Novo Nordisk, Novartis, Pfizer and Sanofi. Vinicius Tragante: VT became an employee of deCODE genetics/Amgen Inc. after the conclusion of this work Dr Franco is employed by ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.) and Metagenics., (Copyright: © 2023 Willems SM et al.)
Published: 2023
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22. Risk factors for workplace sexual harassment and violence among a national cohort of women in Iceland: a cross-sectional study.

Author: Jonsdottir SD, Hauksdottir A, Aspelund T, Jakobsdottir J, Runarsdottir H, Gudmundsdottir B, Tomasson G, Valdimarsdottir UA, Halldorsdottir T, and Thordardottir EB
Subjects: Adolescent, Adult, Aged, Cross-Sectional Studies, Female, Humans, Iceland epidemiology, Middle Aged, Risk Factors, Violence, Workplace, Young Adult, Sexual Harassment
Abstract: Background: Sexual harassment and violence in the workplace are a serious public health concern for women worldwide with substantial costs due to sick leave and personnel turnover. Yet little is known about the prevalence of sexual harassment and violence at a population level, especially across work sectors. The aim of this study was to investigate the prevalence of workplace sexual harassment and violence by demographic factors and work sectors among Icelandic women., Methods: For this cross-sectional study we analysed nationally representative, de-identified individual-level data from women who had responded to an online survey item about self-labelled current and lifetime workplace sexual harassment or violence as part of the Stress and Gene Analysis (SAGA) study, a cross-sectional nationally representative study done from March 1, 2018, to July 1, 2019. Eligible participants were women who resided in Iceland, were aged between 18 and 69 years, spoke Icelandic, and had a registered address from the Icelandic Population Register or a telephone number from the online 1819 service. We used binomial and Poisson regression analysis to study the cross-sectional association between workplace sexual harassment and violence and demographic factors (eg, age, sexual orientation, and education) and factors relating to the workplace (eg, work schedule), across works sectors., Findings: Of 113 814 eligible women, 104 197 were invited to complete the online survey, of whom 30 403 women responded and were included in the SAGA cohort. 15 799 women answered the item about exposure to workplace sexual harassment or violence. 11 286 [71·4%] of 15 799 women answered the question about sexual orientation that were included in the survey from June, 2018. 5291 (33·5%) of 15 799 of participants reported having experienced workplace sexual harassment or violence during their lifetime, and 1178 (7·5%) in their current workplace. Such exposure in the current workplace was most common among women who were young (age 18-24 years: prevalence ratio [PR] 3·89 [95% CI 2·66-5·71]; age 25-34 years: 3·66 [2·53-5·31]), single (1·27 [1·12-1·43]), and worked shifts (2·32 [2·02-2·67]), with the highest prevalence rates observed among women in work sectors of public figures (15·67 [9·34-25·12]), tourism (15·01 [11·01-20·13]), and the legal system and security (13·56 [7·00-24·66]). Lifetime exposure to workplace sexual harassment or violence was more common among women who belonged to sexual minorities than among heterosexual women (PR 1·35 [1·24-1·46])., Interpretation: Lifetime exposure to workplace sexual harassment or violence seems common among women in a Nordic welfare state. These findings provide nuanced targets for prevention and for public policies aimed at promoting women's safety in the work environment., Funding: Icelandic Gender Equality Fund, European Research Council, and Icelandic Centre for Research., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Published: 2022
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23. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.

Author: Winkler TW, Rasheed H, Teumer A, Gorski M, Rowan BX, Stanzick KJ, Thomas LF, Tin A, Hoppmann A, Chu AY, Tayo B, Thio CHL, Cusi D, Chai JF, Sieber KB, Horn K, Li M, Scholz M, Cocca M, Wuttke M, van der Most PJ, Yang Q, Ghasemi S, Nutile T, Li Y, Pontali G, Günther F, Dehghan A, Correa A, Parsa A, Feresin A, de Vries APJ, Zonderman AB, Smith AV, Oldehinkel AJ, De Grandi A, Rosenkranz AR, Franke A, Teren A, Metspalu A, Hicks AA, Morris AP, Tönjes A, Morgan A, Podgornaia AI, Peters A, Körner A, Mahajan A, Campbell A, Freedman BI, Spedicati B, Ponte B, Schöttker B, Brumpton B, Banas B, Krämer BK, Jung B, Åsvold BO, Smith BH, Ning B, Penninx BWJH, Vanderwerff BR, Psaty BM, Kammerer CM, Langefeld CD, Hayward C, Spracklen CN, Robinson-Cohen C, Hartman CA, Lindgren CM, Wang C, Sabanayagam C, Heng CK, Lanzani C, Khor CC, Cheng CY, Fuchsberger C, Gieger C, Shaffer CM, Schulz CA, Willer CJ, Chasman DI, Gudbjartsson DF, Ruggiero D, Toniolo D, Czamara D, Porteous DJ, Waterworth DM, Mascalzoni D, Mook-Kanamori DO, Reilly DF, Daw EW, Hofer E, Boerwinkle E, Salvi E, Bottinger EP, Tai ES, Catamo E, Rizzi F, Guo F, Rivadeneira F, Guilianini F, Sveinbjornsson G, Ehret G, Waeber G, Biino G, Girotto G, Pistis G, Nadkarni GN, Delgado GE, Montgomery GW, Snieder H, Campbell H, White HD, Gao H, Stringham HM, Schmidt H, Li H, Brenner H, Holm H, Kirsten H, Kramer H, Rudan I, Nolte IM, Tzoulaki I, Olafsson I, Martins J, Cook JP, Wilson JF, Halbritter J, Felix JF, Divers J, Kooner JS, Lee JJ, O'Connell J, Rotter JI, Liu J, Xu J, Thiery J, Ärnlöv J, Kuusisto J, Jakobsdottir J, Tremblay J, Chambers JC, Whitfield JB, Gaziano JM, Marten J, Coresh J, Jonas JB, Mychaleckyj JC, Christensen K, Eckardt KU, Mohlke KL, Endlich K, Dittrich K, Ryan KA, Rice KM, Taylor KD, Ho K, Nikus K, Matsuda K, Strauch K, Miliku K, Hveem K, Lind L, Wallentin L, Yerges-Armstrong LM, Raffield LM, Phillips LS, Launer LJ, Lyytikäinen LP, Lange LA, Citterio L, Klaric L, Ikram MA, Ising M, Kleber ME, Francescatto M, Concas MP, Ciullo M, Piratsu M, Orho-Melander M, Laakso M, Loeffler M, Perola M, de Borst MH, Gögele M, Bianca M, Lukas MA, Feitosa MF, Biggs ML, Wojczynski MK, Kavousi M, Kanai M, Akiyama M, Yasuda M, Nauck M, Waldenberger M, Chee ML, Chee ML, Boehnke M, Preuss MH, Stumvoll M, Province MA, Evans MK, O'Donoghue ML, Kubo M, Kähönen M, Kastarinen M, Nalls MA, Kuokkanen M, Ghanbari M, Bochud M, Josyula NS, Martin NG, Tan NYQ, Palmer ND, Pirastu N, Schupf N, Verweij N, Hutri-Kähönen N, Mononen N, Bansal N, Devuyst O, Melander O, Raitakari OT, Polasek O, Manunta P, Gasparini P, Mishra PP, Sulem P, Magnusson PKE, Elliott P, Ridker PM, Hamet P, Svensson PO, Joshi PK, Kovacs P, Pramstaller PP, Rossing P, Vollenweider P, van der Harst P, Dorajoo R, Sim RZH, Burkhardt R, Tao R, Noordam R, Mägi R, Schmidt R, de Mutsert R, Rueedi R, van Dam RM, Carroll RJ, Gansevoort RT, Loos RJF, Felicita SC, Sedaghat S, Padmanabhan S, Freitag-Wolf S, Pendergrass SA, Graham SE, Gordon SD, Hwang SJ, Kerr SM, Vaccargiu S, Patil SB, Hallan S, Bakker SJL, Lim SC, Lucae S, Vogelezang S, Bergmann S, Corre T, Ahluwalia TS, Lehtimäki T, Boutin TS, Meitinger T, Wong TY, Bergler T, Rabelink TJ, Esko T, Haller T, Thorsteinsdottir U, Völker U, Foo VHX, Salomaa V, Vitart V, Giedraitis V, Gudnason V, Jaddoe VWV, Huang W, Zhang W, Wei WB, Kiess W, März W, Koenig W, Lieb W, Gao X, Sim X, Wang YX, Friedlander Y, Tham YC, Kamatani Y, Okada Y, Milaneschi Y, Yu Z, Stark KJ, Stefansson K, Böger CA, Hung AM, Kronenberg F, Köttgen A, Pattaro C, and Heid IM
Subjects: Creatinine, Genome-Wide Association Study, Glomerular Filtration Rate genetics, Humans, Kidney, Diabetes Mellitus, Diabetic Nephropathies genetics
Abstract: Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (n DM = 178,691, n noDM = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM., (© 2022. The Author(s).)
Published: 2022
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24. Genome-wide association meta-analysis identifies five novel loci for age-related hearing impairment.

Author: Nagtegaal AP, Broer L, Zilhao NR, Jakobsdottir J, Bishop CE, Brumat M, Christiansen MW, Cocca M, Gao Y, Heard-Costa NL, Evans DS, Pankratz N, Pratt SR, Price TR, Spankovich C, Stimson MR, Valle K, Vuckovic D, Wells H, Eiriksdottir G, Fransen E, Ikram MA, Li CM, Longstreth WT Jr, Steves C, Van Camp G, Correa A, Cruickshanks KJ, Gasparini P, Girotto G, Kaplan RC, Nalls M, Schweinfurth JM, Seshadri S, Sotoodehnia N, Tranah GJ, Uitterlinden AG, Wilson JG, Gudnason V, Hoffman HJ, Williams FMK, and Goedegebure A
Subjects: Animals, Auditory Pathways metabolism, Female, Gene Expression Regulation, Humans, Male, Mice, Middle Aged, Molecular Sequence Annotation, Phenotype, Reproducibility of Results, Aging genetics, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Hearing Loss genetics
Abstract: Previous research has shown that genes play a substantial role in determining a person's susceptibility to age-related hearing impairment. The existing studies on this subject have different results, which may be caused by difficulties in determining the phenotype or the limited number of participants involved. Here, we have gathered the largest sample to date (discovery n = 9,675; replication n = 10,963; validation n = 356,141), and examined phenotypes that represented low/mid and high frequency hearing loss on the pure tone audiogram. We identified 7 loci that were either replicated and/or validated, of which 5 loci are novel in hearing. Especially the ILDR1 gene is a high profile candidate, as it contains our top SNP, is a known hearing loss gene, has been linked to age-related hearing impairment before, and in addition is preferentially expressed within hair cells of the inner ear. By verifying all previously published SNPs, we can present a paper that combines all new and existing findings to date, giving a complete overview of the genetic architecture of age-related hearing impairment. This is of importance as age-related hearing impairment is highly prevalent in our ageing society and represents a large socio-economic burden.
Published: 2019
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25. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.

Author: Tin A, Marten J, Halperin Kuhns VL, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, Giri A, Sveinbjornsson G, Li M, Chu AY, Hoppmann A, O'Connor LJ, Prins B, Nutile T, Noce D, Akiyama M, Cocca M, Ghasemi S, van der Most PJ, Horn K, Xu Y, Fuchsberger C, Sedaghat S, Afaq S, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boerwinkle E, Bottinger EP, Boutin TS, Brumat M, Burkhardt R, Campana E, Campbell A, Campbell H, Carroll RJ, Catamo E, Chambers JC, Ciullo M, Concas MP, Coresh J, Corre T, Cusi D, Felicita SC, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Delgado G, Demirkan A, Devuyst O, Dittrich K, Eckardt KU, Ehret G, Endlich K, Evans MK, Gansevoort RT, Gasparini P, Giedraitis V, Gieger C, Girotto G, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hayward C, Hicks AA, Hofer E, Holm H, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Lewis RM, Ingelsson E, Jakobsdottir J, Jonsdottir I, Jonsson H, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kanai M, Kerr SM, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Krämer BK, Kronenberg F, Kubo M, Kühnel B, La Bianca M, Lange LA, Lehne B, Lehtimäki T, Liu J, Loeffler M, Loos RJF, Lyytikäinen LP, Magi R, Mahajan A, Martin NG, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Metspalu A, Milaneschi Y, O'Donnell CJ, Wilson OD, Gaziano JM, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Müller-Nurasyid M, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell JR, Olafsson I, Padmanabhan S, Penninx BWJH, Perls T, Peters A, Pirastu M, Pirastu N, Pistis G, Polasek O, Ponte B, Porteous DJ, Poulain T, Preuss MH, Rabelink TJ, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rizzi F, Robino A, Rudan I, Krajcoviechova A, Cifkova R, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Salvi E, Schmidt H, Schmidt R, Shaffer CM, Smith AV, Smith BH, Spracklen CN, Strauch K, Stumvoll M, Sulem P, Tajuddin SM, Teren A, Thiery J, Thio CHL, Thorsteinsdottir U, Toniolo D, Tönjes A, Tremblay J, Uitterlinden AG, Vaccargiu S, van der Harst P, van Duijn CM, Verweij N, Völker U, Vollenweider P, Waeber G, Waldenberger M, Whitfield JB, Wild SH, Wilson JF, Yang Q, Zhang W, Zonderman AB, Bochud M, Wilson JG, Pendergrass SA, Ho K, Parsa A, Pramstaller PP, Psaty BM, Böger CA, Snieder H, Butterworth AS, Okada Y, Edwards TL, Stefansson K, Susztak K, Scholz M, Heid IM, Hung AM, Teumer A, Pattaro C, Woodward OM, Vitart V, and Köttgen A
Subjects: ATP Binding Cassette Transporter, Subfamily G, Member 2 genetics, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cohort Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Gout epidemiology, Gout genetics, Hepatocyte Nuclear Factor 1-alpha genetics, Hepatocyte Nuclear Factor 4 genetics, Humans, Kidney metabolism, Kidney pathology, Liver metabolism, Liver pathology, Metabolic Diseases epidemiology, Metabolic Diseases genetics, Neoplasm Proteins genetics, Organ Specificity, Cardiovascular Diseases blood, Genetic Markers, Gout blood, Metabolic Diseases blood, Polymorphism, Single Nucleotide, Signal Transduction, Uric Acid blood
Abstract: Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.
Published: 2019
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26. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.

Author: Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H, Tin A, Chu AY, Bansal N, Feitosa MF, Wang L, Chai JF, Cocca M, Fuchsberger C, Gorski M, Hoppmann A, Horn K, Li M, Marten J, Noce D, Nutile T, Sedaghat S, Sveinbjornsson G, Tayo BO, van der Most PJ, Xu Y, Yu Z, Gerstner L, Ärnlöv J, Bakker SJL, Baptista D, Biggs ML, Boerwinkle E, Brenner H, Burkhardt R, Carroll RJ, Chee ML, Chee ML, Chen M, Cheng CY, Cook JP, Coresh J, Corre T, Danesh J, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Dittrich K, Divers J, Eckardt KU, Ehret G, Endlich K, Felix JF, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Gansevoort RT, Giedraitis V, Gögele M, Grundner-Culemann F, Gudbjartsson DF, Gudnason V, Hamet P, Harris TB, Hicks AA, Holm H, Foo VHX, Hwang SJ, Ikram MA, Ingelsson E, Jaddoe VWV, Jakobsdottir J, Josyula NS, Jung B, Kähönen M, Khor CC, Kiess W, Koenig W, Körner A, Kovacs P, Kramer H, Krämer BK, Kronenberg F, Lange LA, Langefeld CD, Lee JJ, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Loeffler M, Lyytikäinen LP, Mahajan A, Maranville JC, Mascalzoni D, McMullen B, Meisinger C, Meitinger T, Miliku K, Mook-Kanamori DO, Müller-Nurasyid M, Mychaleckyj JC, Nauck M, Nikus K, Ning B, Noordam R, Connell JO, Olafsson I, Palmer ND, Peters A, Podgornaia AI, Ponte B, Poulain T, Pramstaller PP, Rabelink TJ, Raffield LM, Reilly DF, Rettig R, Rheinberger M, Rice KM, Rivadeneira F, Runz H, Ryan KA, Sabanayagam C, Saum KU, Schöttker B, Shaffer CM, Shi Y, Smith AV, Strauch K, Stumvoll M, Sun BB, Szymczak S, Tai ES, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorsteinsdottir U, Tönjes A, Tremblay J, Uitterlinden AG, van der Harst P, Verweij N, Vogelezang S, Völker U, Waldenberger M, Wang C, Wilson OD, Wong C, Wong TY, Yang Q, Yasuda M, Akilesh S, Bochud M, Böger CA, Devuyst O, Edwards TL, Ho K, Morris AP, Parsa A, Pendergrass SA, Psaty BM, Rotter JI, Stefansson K, Wilson JG, Susztak K, Snieder H, Heid IM, Scholz M, Butterworth AS, Hung AM, Pattaro C, and Köttgen A
Subjects: Animals, Creatinine urine, Diabetes Mellitus genetics, Diabetes Mellitus urine, Drosophila melanogaster genetics, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Humans, Phenomics, Risk Factors, Albuminuria genetics, Chromosome Mapping, Genome-Wide Association Study, Meta-Analysis as Topic
Abstract: Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.
Published: 2019
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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. The impact of APOE genotype on survival: Results of 38,537 participants from six population-based cohorts (E2-CHARGE).

Author: Wolters FJ, Yang Q, Biggs ML, Jakobsdottir J, Li S, Evans DS, Bis JC, Harris TB, Vasan RS, Zilhao NR, Ghanbari M, Ikram MA, Launer L, Psaty BM, Tranah GJ, Kulminski AM, Gudnason V, and Seshadri S
Subjects: Aged, Cohort Studies, Female, Heterozygote, Humans, Lipids blood, Male, Meta-Analysis as Topic, Survival Analysis, Apolipoproteins E genetics, Genotype
Abstract: Background: Apolipoprotein E is a glycoprotein best known as a mediator and regulator of lipid transport and uptake. The APOE-ε4 allele has long been associated with increased risks of Alzheimer's disease and mortality, but the effect of the less prevalent APOE-ε2 allele on diseases in the elderly and survival remains elusive., Methods: We aggregated data of 38,537 individuals of European ancestry (mean age 65.5 years; 55.6% women) from six population-based cohort studies (Rotterdam Study, AGES-Reykjavik Study, Cardiovascular Health Study, Health-ABC Study, and the family-based Framingham Heart Study and Long Life Family Study) to determine the association of APOE, and in particular APOE-ε2, with survival in the population., Results: During a mean follow-up of 11.7 years, 17,021 individuals died. Compared with homozygous APOE-ε3 carriers, APOE-ε2 carriers were at lower risk of death (hazard ratio,95% confidence interval: 0.94,0.90-0.99; P = 1.1*10-2), whereas APOE-ε4 carriers were at increased risk of death (HR 1.17,1.12-1.21; P = 2.8*10-16). APOE was associated with mortality risk in a dose-dependent manner, with risk estimates lowest for homozygous APOE-ε2 (HR 0.89,0.74-1.08), and highest for homozygous APOE-ε4 (HR 1.52,1.37-1.70). After censoring for dementia, effect estimates remained similar for APOE-ε2 (HR 0.95,0.90-1.01), but attenuated for APOE-ε4 (HR 1.07,1.01-1.12). Results were broadly similar across cohorts, and did not differ by age or sex. APOE genotype was associated with baseline lipid fractions (e.g. mean difference(95%CI) in LDL(mg/dL) for ε2 versus ε33: -17.1(-18.1-16.0), and ε4 versus ε33: +5.7(4.8;6.5)), but the association between APOE and mortality was unaltered after adjustment for baseline LDL or cardiovascular disease. Given the European ancestry of the study population, results may not apply to other ethnicities., Conclusion: Compared with APOE-ε3, APOE-ε2 is associated with prolonged survival, whereas mortality risk is increased for APOE-ε4 carriers. Further collaborative efforts are needed to unravel the role of APOE and in particular APOE-ε2 in health and disease., Competing Interests: Dr. Psaty serves on the DSMB for a clinical trial funded by Zoll LifeCor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. This does not alter our adherence to PLOS ONE policies on sharing data and materials. None of the other authors report any conflict of interest.
Published: 2019
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29. A catalog of genetic loci associated with kidney function from analyses of a million individuals.

Author: Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, Giri A, Chai JF, Sveinbjornsson G, Tayo BO, Nutile T, Fuchsberger C, Marten J, Cocca M, Ghasemi S, Xu Y, Horn K, Noce D, van der Most PJ, Sedaghat S, Yu Z, Akiyama M, Afaq S, Ahluwalia TS, Almgren P, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boehnke M, Boerwinkle E, Boissel M, Bottinger EP, Boutin TS, Brenner H, Brumat M, Burkhardt R, Butterworth AS, Campana E, Campbell A, Campbell H, Canouil M, Carroll RJ, Catamo E, Chambers JC, Chee ML, Chee ML, Chen X, Cheng CY, Cheng Y, Christensen K, Cifkova R, Ciullo M, Concas MP, Cook JP, Coresh J, Corre T, Sala CF, Cusi D, Danesh J, Daw EW, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Delgado G, Demirkan A, Di Angelantonio E, Dittrich K, Divers J, Dorajoo R, Eckardt KU, Ehret G, Elliott P, Endlich K, Evans MK, Felix JF, Foo VHX, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Friedlander Y, Froguel P, Gansevoort RT, Gao H, Gasparini P, Gaziano JM, Giedraitis V, Gieger C, Girotto G, Giulianini F, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hartman CA, Hayward C, Hellwege JN, Heng CK, Hicks AA, Hofer E, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Indridason OS, Ingelsson E, Ising M, Jaddoe VWV, Jakobsdottir J, Jonas JB, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kammerer CM, Kanai M, Kastarinen M, Kerr SM, Khor CC, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Kraja AT, Krajcoviechova A, Kramer H, Krämer BK, Kronenberg F, Kubo M, Kühnel B, Kuokkanen M, Kuusisto J, La Bianca M, Laakso M, Lange LA, Langefeld CD, Lee JJ, Lehne B, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Liu J, Loeffler M, Loos RJF, Lucae S, Lukas MA, Lyytikäinen LP, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Martins J, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Melander O, Metspalu A, Mikaelsdottir EK, Milaneschi Y, Miliku K, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell J, O'Donoghue ML, Olafsson I, Oldehinkel AJ, Orho-Melander M, Ouwehand WH, Padmanabhan S, Palmer ND, Palsson R, Penninx BWJH, Perls T, Perola M, Pirastu M, Pirastu N, Pistis G, Podgornaia AI, Polasek O, Ponte B, Porteous DJ, Poulain T, Pramstaller PP, Preuss MH, Prins BP, Province MA, Rabelink TJ, Raffield LM, Raitakari OT, Reilly DF, Rettig R, Rheinberger M, Rice KM, Ridker PM, Rivadeneira F, Rizzi F, Roberts DJ, Robino A, Rossing P, Rudan I, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Sabanayagam C, Salomaa V, Salvi E, Saum KU, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Schupf N, Shaffer CM, Shi Y, Smith AV, Smith BH, Soranzo N, Spracklen CN, Strauch K, Stringham HM, Stumvoll M, Svensson PO, Szymczak S, Tai ES, Tajuddin SM, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorleifsson G, Toniolo D, Tönjes A, Tremblay J, Tzoulaki I, Uitterlinden AG, Vaccargiu S, van Dam RM, van der Harst P, van Duijn CM, Velez Edward DR, Verweij N, Vogelezang S, Völker U, Vollenweider P, Waeber G, Waldenberger M, Wallentin L, Wang YX, Wang C, Waterworth DM, Bin Wei W, White H, Whitfield JB, Wild SH, Wilson JF, Wojczynski MK, Wong C, Wong TY, Xu L, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang W, Zonderman AB, Rotter JI, Bochud M, Psaty BM, Vitart V, Wilson JG, Dehghan A, Parsa A, Chasman DI, Ho K, Morris AP, Devuyst O, Akilesh S, Pendergrass SA, Sim X, Böger CA, Okada Y, Edwards TL, Snieder H, Stefansson K, Hung AM, Heid IM, Scholz M, Teumer A, Köttgen A, and Pattaro C
Subjects: Chromosome Mapping, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Inheritance Patterns, Kidney Function Tests, Phenotype, Polymorphism, Single Nucleotide, Renal Insufficiency, Chronic urine, Uromodulin urine, White People, Genetic Association Studies methods, Genetic Predisposition to Disease, Quantitative Trait Loci, Quantitative Trait, Heritable, Renal Insufficiency, Chronic genetics, Renal Insufficiency, Chronic physiopathology
Abstract: Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Published: 2019
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30. 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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31. Co-regulatory networks of human serum proteins link genetics to disease.

Author: Emilsson V, Ilkov M, Lamb JR, Finkel N, Gudmundsson EF, Pitts R, Hoover H, Gudmundsdottir V, Horman SR, Aspelund T, Shu L, Trifonov V, Sigurdsson S, Manolescu A, Zhu J, Olafsson Ö, Jakobsdottir J, Lesley SA, To J, Zhang J, Harris TB, Launer LJ, Zhang B, Eiriksdottir G, Yang X, Orth AP, Jennings LL, and Gudnason V
Subjects: Aptamers, Nucleotide, Genetic Predisposition to Disease, Genetic Variation, Humans, Iceland, Metabolic Networks and Pathways, Blood Proteins analysis, Blood Proteins genetics, Cardiovascular Diseases genetics, Metabolic Diseases genetics, Proteome analysis, Proteome genetics, Proteomics methods
Abstract: Proteins circulating in the blood are critical for age-related disease processes; however, the serum proteome has remained largely unexplored. To this end, 4137 proteins covering most predicted extracellular proteins were measured in the serum of 5457 Icelanders over 65 years of age. Pairwise correlation between proteins as they varied across individuals revealed 27 different network modules of serum proteins, many of which were associated with cardiovascular and metabolic disease states, as well as overall survival. The protein modules were controlled by cis- and trans-acting genetic variants, which in many cases were also associated with complex disease. This revealed co-regulated groups of circulating proteins that incorporated regulatory control between tissues and demonstrated close relationships to past, current, and future disease states., (Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
Published: 2018
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32. Exome-wide association study of plasma lipids in >300,000 individuals.

Author: Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves AC, Amouyel P, Di Angelantonio E, Arveiler D, Assimes TL, Auer PL, Baber U, Ballantyne CM, Bang LE, Benn M, Bis JC, Boehnke M, Boerwinkle E, Bork-Jensen J, Bottinger EP, Brandslund I, Brown M, Busonero F, Caulfield MJ, Chambers JC, Chasman DI, Chen YE, Chen YI, Chowdhury R, Christensen C, Chu AY, Connell JM, Cucca F, Cupples LA, Damrauer SM, Davies G, Deary IJ, Dedoussis G, Denny JC, Dominiczak A, Dubé MP, Ebeling T, Eiriksdottir G, Esko T, Farmaki AE, Feitosa MF, Ferrario M, Ferrieres J, Ford I, Fornage M, Franks PW, Frayling TM, Frikke-Schmidt R, Fritsche LG, Frossard P, Fuster V, Ganesh SK, Gao W, Garcia ME, Gieger C, Giulianini F, Goodarzi MO, Grallert H, Grarup N, Groop L, Grove ML, Gudnason V, Hansen T, Harris TB, Hayward C, Hirschhorn JN, Holmen OL, Huffman J, Huo Y, Hveem K, Jabeen S, Jackson AU, Jakobsdottir J, Jarvelin MR, Jensen GB, Jørgensen ME, Jukema JW, Justesen JM, Kamstrup PR, Kanoni S, Karpe F, Kee F, Khera AV, Klarin D, Koistinen HA, Kooner JS, Kooperberg C, Kuulasmaa K, Kuusisto J, Laakso M, Lakka T, Langenberg C, Langsted A, Launer LJ, Lauritzen T, Liewald DCM, Lin LA, Linneberg A, Loos RJF, Lu Y, Lu X, Mägi R, Malarstig A, Manichaikul A, Manning AK, Mäntyselkä P, Marouli E, Masca NGD, Maschio A, Meigs JB, Melander O, Metspalu A, Morris AP, Morrison AC, Mulas A, Müller-Nurasyid M, Munroe PB, Neville MJ, Nielsen JB, Nielsen SF, Nordestgaard BG, Ordovas JM, Mehran R, O'Donnell CJ, Orho-Melander M, Molony CM, Muntendam P, Padmanabhan S, Palmer CNA, Pasko D, Patel AP, Pedersen O, Perola M, Peters A, Pisinger C, Pistis G, Polasek O, Poulter N, Psaty BM, Rader DJ, Rasheed A, Rauramaa R, Reilly DF, Reiner AP, Renström F, Rich SS, Ridker PM, Rioux JD, Robertson NR, Roden DM, Rotter JI, Rudan I, Salomaa V, Samani NJ, Sanna S, Sattar N, Schmidt EM, Scott RA, Sever P, Sevilla RS, Shaffer CM, Sim X, Sivapalaratnam S, Small KS, Smith AV, Smith BH, Somayajula S, Southam L, Spector TD, Speliotes EK, Starr JM, Stirrups KE, Stitziel N, Strauch K, Stringham HM, Surendran P, Tada H, Tall AR, Tang H, Tardif JC, Taylor KD, Trompet S, Tsao PS, Tuomilehto J, Tybjaerg-Hansen A, van Zuydam NR, Varbo A, Varga TV, Virtamo J, Waldenberger M, Wang N, Wareham NJ, Warren HR, Weeke PE, Weinstock J, Wessel J, Wilson JG, Wilson PWF, Xu M, Yaghootkar H, Young R, Zeggini E, Zhang H, Zheng NS, Zhang W, Zhang Y, Zhou W, Zhou Y, Zoledziewska M, Howson JMM, Danesh J, McCarthy MI, Cowan CA, Abecasis G, Deloukas P, Musunuru K, Willer CJ, and Kathiresan S
Subjects: Coronary Artery Disease blood, Coronary Artery Disease genetics, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease genetics, Genotype, Humans, Macular Degeneration blood, Macular Degeneration genetics, Phenotype, Risk Factors, Exome genetics, Genetic Association Studies methods, Genetic Variation, Lipids blood
Abstract: We screened variants on an exome-focused genotyping array in >300,000 participants (replication in >280,000 participants) and identified 444 independent variants in 250 loci significantly associated with total cholesterol (TC), high-density-lipoprotein cholesterol (HDL-C), low-density-lipoprotein cholesterol (LDL-C), and/or triglycerides (TG). At two loci (JAK2 and A1CF), experimental analysis in mice showed lipid changes consistent with the human data. We also found that: (i) beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD); (ii) excluding the CETP locus, there was not a predictable relationship between plasma HDL-C and risk for age-related macular degeneration; (iii) only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and (iv) TG-lowering alleles involved in hepatic production of TG-rich lipoproteins (TM6SF2 and PNPLA3) tracked with higher liver fat, higher risk for T2D, and lower risk for CAD, whereas TG-lowering alleles involved in peripheral lipolysis (LPL and ANGPTL4) had no effect on liver fat but decreased risks for both T2D and CAD.
Published: 2017
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33. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease.

Author: Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, Kunkle BW, Boland A, Raybould R, Bis JC, Martin ER, Grenier-Boley B, Heilmann-Heimbach S, Chouraki V, Kuzma AB, Sleegers K, Vronskaya M, Ruiz A, Graham RR, Olaso R, Hoffmann P, Grove ML, Vardarajan BN, Hiltunen M, Nöthen MM, White CC, Hamilton-Nelson KL, Epelbaum J, Maier W, Choi SH, Beecham GW, Dulary C, Herms S, Smith AV, Funk CC, Derbois C, Forstner AJ, Ahmad S, Li H, Bacq D, Harold D, Satizabal CL, Valladares O, Squassina A, Thomas R, Brody JA, Qu L, Sánchez-Juan P, Morgan T, Wolters FJ, Zhao Y, Garcia FS, Denning N, Fornage M, Malamon J, Naranjo MCD, Majounie E, Mosley TH, Dombroski B, Wallon D, Lupton MK, Dupuis J, Whitehead P, Fratiglioni L, Medway C, Jian X, Mukherjee S, Keller L, Brown K, Lin H, Cantwell LB, Panza F, McGuinness B, Moreno-Grau S, Burgess JD, Solfrizzi V, Proitsi P, Adams HH, Allen M, Seripa D, Pastor P, Cupples LA, Price ND, Hannequin D, Frank-García A, Levy D, Chakrabarty P, Caffarra P, Giegling I, Beiser AS, Giedraitis V, Hampel H, Garcia ME, Wang X, Lannfelt L, Mecocci P, Eiriksdottir G, Crane PK, Pasquier F, Boccardi V, Henández I, Barber RC, Scherer M, Tarraga L, Adams PM, Leber M, Chen Y, Albert MS, Riedel-Heller S, Emilsson V, Beekly D, Braae A, Schmidt R, Blacker D, Masullo C, Schmidt H, Doody RS, Spalletta G, Longstreth WT Jr, Fairchild TJ, Bossù P, Lopez OL, Frosch MP, Sacchinelli E, Ghetti B, Yang Q, Huebinger RM, Jessen F, Li S, Kamboh MI, Morris J, Sotolongo-Grau O, Katz MJ, Corcoran C, Dunstan M, Braddel A, Thomas C, Meggy A, Marshall R, Gerrish A, Chapman J, Aguilar M, Taylor S, Hill M, Fairén MD, Hodges A, Vellas B, Soininen H, Kloszewska I, Daniilidou M, Uphill J, Patel Y, Hughes JT, Lord J, Turton J, Hartmann AM, Cecchetti R, Fenoglio C, Serpente M, Arcaro M, Caltagirone C, Orfei MD, Ciaramella A, Pichler S, Mayhaus M, Gu W, Lleó A, Fortea J, Blesa R, Barber IS, Brookes K, Cupidi C, Maletta RG, Carrell D, Sorbi S, Moebus S, Urbano M, Pilotto A, Kornhuber J, Bosco P, Todd S, Craig D, Johnston J, Gill M, Lawlor B, Lynch A, Fox NC, Hardy J, Albin RL, Apostolova LG, Arnold SE, Asthana S, Atwood CS, Baldwin CT, Barnes LL, Barral S, Beach TG, Becker JT, Bigio EH, Bird TD, Boeve BF, Bowen JD, Boxer A, Burke JR, Burns JM, Buxbaum JD, Cairns NJ, Cao C, Carlson CS, Carlsson CM, Carney RM, Carrasquillo MM, Carroll SL, Diaz CC, Chui HC, Clark DG, Cribbs DH, Crocco EA, DeCarli C, Dick M, Duara R, Evans DA, Faber KM, Fallon KB, Fardo DW, Farlow MR, Ferris S, Foroud TM, Galasko DR, Gearing M, Geschwind DH, Gilbert JR, Graff-Radford NR, Green RC, Growdon JH, Hamilton RL, Harrell LE, Honig LS, Huentelman MJ, Hulette CM, Hyman BT, Jarvik GP, Abner E, Jin LW, Jun G, Karydas A, Kaye JA, Kim R, Kowall NW, Kramer JH, LaFerla FM, Lah JJ, Leverenz JB, Levey AI, Li G, Lieberman AP, Lunetta KL, Lyketsos CG, Marson DC, Martiniuk F, Mash DC, Masliah E, McCormick WC, McCurry SM, McDavid AN, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Morris JC, Murrell JR, Myers AJ, O'Bryant S, Olichney JM, Pankratz VS, Parisi JE, Paulson HL, Perry W, Peskind E, Pierce A, Poon WW, Potter H, Quinn JF, Raj A, Raskind M, Reisberg B, Reitz C, Ringman JM, Roberson ED, Rogaeva E, Rosen HJ, Rosenberg RN, Sager MA, Saykin AJ, Schneider JA, Schneider LS, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tanzi RE, Thornton-Wells TA, 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, Garzia F, Golamaully F, Septier G, Engelborghs S, Vandenberghe R, De Deyn PP, Fernadez CM, Benito YA, Thonberg H, Forsell C, Lilius L, Kinhult-Stählbom A, Kilander L, Brundin R, Concari L, Helisalmi S, Koivisto AM, Haapasalo A, Dermecourt V, Fievet N, Hanon O, Dufouil C, Brice A, Ritchie K, Dubois B, Himali JJ, Keene CD, Tschanz J, Fitzpatrick AL, Kukull WA, Norton M, Aspelund T, Larson EB, Munger R, Rotter JI, Lipton RB, Bullido MJ, Hofman A, Montine TJ, Coto E, Boerwinkle E, Petersen RC, Alvarez V, Rivadeneira F, Reiman EM, Gallo M, O'Donnell CJ, Reisch JS, Bruni AC, Royall DR, Dichgans M, Sano M, Galimberti D, St George-Hyslop P, Scarpini E, Tsuang DW, Mancuso M, Bonuccelli U, Winslow AR, Daniele A, Wu CK, Peters O, Nacmias B, Riemenschneider M, Heun R, Brayne C, Rubinsztein DC, Bras J, Guerreiro R, Al-Chalabi A, Shaw CE, Collinge J, Mann D, Tsolaki M, Clarimón J, Sussams R, Lovestone S, O'Donovan MC, Owen MJ, Behrens TW, Mead S, Goate AM, Uitterlinden AG, Holmes C, Cruchaga C, Ingelsson M, Bennett DA, Powell J, Golde TE, Graff C, De Jager PL, Morgan K, Ertekin-Taner N, Combarros O, Psaty BM, Passmore P, Younkin SG, Berr C, Gudnason V, Rujescu D, Dickson DW, Dartigues JF, DeStefano AL, Ortega-Cubero S, Hakonarson H, Campion D, Boada M, Kauwe JK, Farrer LA, Van Broeckhoven C, Ikram MA, Jones L, Haines JL, Tzourio C, Launer LJ, Escott-Price V, Mayeux R, Deleuze JF, Amin N, Holmans PA, Pericak-Vance MA, Amouyel P, van Duijn CM, Ramirez A, Wang LS, Lambert JC, Seshadri S, Williams J, and Schellenberg GD
Subjects: Amino Acid Sequence, Case-Control Studies, Exome genetics, Gene Expression Profiling, Gene Frequency, Genetic Predisposition to Disease genetics, Genotype, Humans, Linkage Disequilibrium, Odds Ratio, Protein Interaction Maps genetics, Sequence Homology, Amino Acid, Adaptor Proteins, Signal Transducing genetics, Alzheimer Disease genetics, Immunity, Innate genetics, Membrane Glycoproteins genetics, Microglia metabolism, Phospholipase C gamma genetics, Polymorphism, Single Nucleotide, Receptors, Immunologic genetics
Abstract: We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10 -4 ) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10 -8 ) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10 -10 , odds ratio (OR) = 0.68, minor allele frequency (MAF) cases = 0.0059, MAF controls = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10 -10 , OR = 1.43, MAF cases = 0.011, MAF controls = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10 -14 , OR = 1.67, MAF cases = 0.0143, MAF controls = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.
Published: 2017
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34. Novel Genetic Variants Associated With Increased Vertebral Volumetric BMD, Reduced Vertebral Fracture Risk, and Increased Expression of SLC1A3 and EPHB2.

Author: Nielson CM, Liu CT, Smith AV, Ackert-Bicknell CL, Reppe S, Jakobsdottir J, Wassel C, Register TC, Oei L, Alonso N, Oei EH, Parimi N, Samelson EJ, Nalls MA, Zmuda J, Lang T, Bouxsein M, Latourelle J, Claussnitzer M, Siggeirsdottir K, Srikanth P, Lorentzen E, Vandenput L, Langefeld C, Raffield L, Terry G, Cox AJ, Allison MA, Criqui MH, Bowden D, Ikram MA, Mellström D, Karlsson MK, Carr J, Budoff M, Phillips C, Cupples LA, Chou WC, Myers RH, Ralston SH, Gautvik KM, Cawthon PM, Cummings S, Karasik D, Rivadeneira F, Gudnason V, Orwoll ES, Harris TB, Ohlsson C, Kiel DP, and Hsu YH
Subjects: Animals, Biopsy, Cancellous Bone diagnostic imaging, Cancellous Bone pathology, Cancellous Bone physiopathology, Excitatory Amino Acid Transporter 1 metabolism, Gene Expression Regulation, Humans, Linkage Disequilibrium genetics, Lumbar Vertebrae diagnostic imaging, Lumbar Vertebrae pathology, Lumbar Vertebrae physiopathology, Mice, Molecular Sequence Annotation, Organ Size, Osteoblasts metabolism, Quantitative Trait Loci genetics, Receptor, EphB2 metabolism, Risk Factors, Spinal Fractures diagnostic imaging, Spinal Fractures pathology, Spinal Fractures physiopathology, Spine diagnostic imaging, Bone Density genetics, Excitatory Amino Acid Transporter 1 genetics, Genetic Association Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Receptor, EphB2 genetics, Spinal Fractures genetics, Spine pathology
Abstract: Genome-wide association studies (GWASs) have revealed numerous loci for areal bone mineral density (aBMD). We completed the first GWAS meta-analysis (n = 15,275) of lumbar spine volumetric BMD (vBMD) measured by quantitative computed tomography (QCT), allowing for examination of the trabecular bone compartment. SNPs that were significantly associated with vBMD were also examined in two GWAS meta-analyses to determine associations with morphometric vertebral fracture (n = 21,701) and clinical vertebral fracture (n = 5893). Expression quantitative trait locus (eQTL) analyses of iliac crest biopsies were performed in 84 postmenopausal women, and murine osteoblast expression of genes implicated by eQTL or by proximity to vBMD-associated SNPs was examined. We identified significant vBMD associations with five loci, including: 1p36.12, containing WNT4 and ZBTB40; 8q24, containing TNFRSF11B; and 13q14, containing AKAP11 and TNFSF11. Two loci (5p13 and 1p36.12) also contained associations with radiographic and clinical vertebral fracture, respectively. In 5p13, rs2468531 (minor allele frequency [MAF] = 3%) was associated with higher vBMD (β = 0.22, p = 1.9 × 10 -8 ) and decreased risk of radiographic vertebral fracture (odds ratio [OR] = 0.75; false discovery rate [FDR] p = 0.01). In 1p36.12, rs12742784 (MAF = 21%) was associated with higher vBMD (β = 0.09, p = 1.2 × 10 -10 ) and decreased risk of clinical vertebral fracture (OR = 0.82; FDR p = 7.4 × 10 -4 ). Both SNPs are noncoding and were associated with increased mRNA expression levels in human bone biopsies: rs2468531 with SLC1A3 (β = 0.28, FDR p = 0.01, involved in glutamate signaling and osteogenic response to mechanical loading) and rs12742784 with EPHB2 (β = 0.12, FDR p = 1.7 × 10 -3 , functions in bone-related ephrin signaling). Both genes are expressed in murine osteoblasts. This is the first study to link SLC1A3 and EPHB2 to clinically relevant vertebral osteoporosis phenotypes. These results may help elucidate vertebral bone biology and novel approaches to reducing vertebral fracture incidence. © 2016 American Society for Bone and Mineral Research., (© 2016 American Society for Bone and Mineral Research.)
Published: 2016
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35. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease.

Author: Jakobsdottir J, van der Lee SJ, Bis JC, Chouraki V, Li-Kroeger D, Yamamoto S, Grove ML, Naj A, Vronskaya M, Salazar JL, DeStefano AL, Brody JA, Smith AV, Amin N, Sims R, Ibrahim-Verbaas CA, Choi SH, Satizabal CL, Lopez OL, Beiser A, Ikram MA, Garcia ME, Hayward C, Varga TV, Ripatti S, Franks PW, Hallmans G, Rolandsson O, Jansson JH, Porteous DJ, Salomaa V, Eiriksdottir G, Rice KM, Bellen HJ, Levy D, Uitterlinden AG, Emilsson V, Rotter JI, Aspelund T, O'Donnell CJ, Fitzpatrick AL, Launer LJ, Hofman A, Wang LS, Williams J, Schellenberg GD, Boerwinkle E, Psaty BM, Seshadri S, Shulman JM, Gudnason V, and van Duijn CM
Subjects: Age of Onset, Aged, Alleles, Alzheimer Disease pathology, Amyloid beta-Protein Precursor genetics, Animals, Apolipoproteins E genetics, Drosophila melanogaster genetics, Exome genetics, Female, Genome-Wide Association Study, Genomics, Humans, Iceland, Intracellular Signaling Peptides and Proteins genetics, Male, Mutation, Phenotype, White People, Alzheimer Disease genetics, Drosophila Proteins genetics, Membrane Proteins genetics, Receptors, Notch genetics, Tropomyosin genetics
Abstract: We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5% versus <0.05% in other European populations). In 433 LOAD cases and 3903 controls from the Icelandic AGES sub-study, P155L was associated with increased risk and earlier onset of LOAD [odds ratio (95% CI) = 7.5 (3.5-15.9), p = 6.6x10-9]. Mutation in the Drosophila TM2D3 homolog, almondex, causes a phenotype similar to loss of Notch/Presenilin signaling. Human TM2D3 is capable of rescuing these phenotypes, but this activity is abolished by P155L, establishing it as a functionally damaging allele. Our results establish a rare TM2D3 variant in association with LOAD susceptibility, and together with prior work suggests possible links to the β-amyloid cascade., Competing Interests: PWF has been paid consultant on scientific advisory boards for Eli Lilly Inc and Sanofi Aventis. He has also recent research grants from pharmaceutical agencies as part of the EU Innovative Medicines Initiative. BMP serves on the DSMB of a clinical trial funded by Zoll LifeCor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. All other authors have declared that no competing interests exist.
Published: 2016
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36. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.

Author: Liu C, Kraja AT, Smith JA, Brody JA, Franceschini N, Bis JC, Rice K, Morrison AC, Lu Y, Weiss S, Guo X, Palmas W, Martin LW, Chen YD, Surendran P, Drenos F, Cook JP, Auer PL, Chu AY, Giri A, Zhao W, Jakobsdottir J, Lin LA, Stafford JM, Amin N, Mei H, Yao J, Voorman A, Larson MG, Grove ML, Smith AV, Hwang SJ, Chen H, Huan T, Kosova G, Stitziel NO, Kathiresan S, Samani N, Schunkert H, Deloukas P, Li M, Fuchsberger C, Pattaro C, Gorski M, Kooperberg C, Papanicolaou GJ, Rossouw JE, Faul JD, Kardia SL, Bouchard C, Raffel LJ, Uitterlinden AG, Franco OH, Vasan RS, O'Donnell CJ, Taylor KD, Liu K, Bottinger EP, Gottesman O, Daw EW, Giulianini F, Ganesh S, Salfati E, Harris TB, Launer LJ, Dörr M, Felix SB, Rettig R, Völzke H, Kim E, Lee WJ, Lee IT, Sheu WH, Tsosie KS, Edwards DR, Liu Y, Correa A, Weir DR, Völker U, Ridker PM, Boerwinkle E, Gudnason V, Reiner AP, van Duijn CM, Borecki IB, Edwards TL, Chakravarti A, Rotter JI, Psaty BM, Loos RJ, Fornage M, Ehret GB, Newton-Cheh C, Levy D, and Chasman DI
Subjects: Exome, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Hypertension genetics, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Blood Pressure genetics, Genetic Variation
Abstract: Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
Published: 2016
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37. G-STRATEGY: Optimal Selection of Individuals for Sequencing in Genetic Association Studies.

Author: Wang M, Jakobsdottir J, Smith AV, and McPeek MS
Subjects: Genotype, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genetic Association Studies, Software
Abstract: In a large-scale genetic association study, the number of phenotyped individuals available for sequencing may, in some cases, be greater than the study's sequencing budget will allow. In that case, it can be important to prioritize individuals for sequencing in a way that optimizes power for association with the trait. Suppose a cohort of phenotyped individuals is available, with some subset of them possibly already sequenced, and one wants to choose an additional fixed-size subset of individuals to sequence in such a way that the power to detect association is maximized. When the phenotyped sample includes related individuals, power for association can be gained by including partial information, such as phenotype data of ungenotyped relatives, in the analysis, and this should be taken into account when assessing whom to sequence. We propose G-STRATEGY, which uses simulated annealing to choose a subset of individuals for sequencing that maximizes the expected power for association. In simulations, G-STRATEGY performs extremely well for a range of complex disease models and outperforms other strategies with, in many cases, relative power increases of 20-40% over the next best strategy, while maintaining correct type 1 error. G-STRATEGY is computationally feasible even for large datasets and complex pedigrees. We apply G-STRATEGY to data on high-density lipoprotein and low-density lipoprotein from the AGES-Reykjavik and REFINE-Reykjavik studies, in which G-STRATEGY is able to closely approximate the power of sequencing the full sample by selecting for sequencing a only small subset of the individuals., (© 2016 WILEY PERIODICALS, INC.)
Published: 2016
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38. Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer's Disease.

Author: Chouraki V, Reitz C, Maury F, Bis JC, Bellenguez C, Yu L, Jakobsdottir J, Mukherjee S, Adams HH, Choi SH, Larson EB, Fitzpatrick A, Uitterlinden AG, de Jager PL, Hofman A, Gudnason V, Vardarajan B, Ibrahim-Verbaas C, van der Lee SJ, Lopez O, Dartigues JF, Berr C, Amouyel P, Bennett DA, van Duijn C, DeStefano AL, Launer LJ, Ikram MA, Crane PK, Lambert JC, Mayeux R, and Seshadri S
Subjects: Aged, Aged, 80 and over, Alzheimer Disease epidemiology, Cohort Studies, Educational Status, Female, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Humans, Male, Neuropsychological Tests, Predictive Value of Tests, Proportional Hazards Models, Psychiatric Status Rating Scales, Risk Assessment, Risk Factors, Alzheimer Disease diagnosis, Alzheimer Disease genetics, Apolipoprotein E4 genetics, Polymorphism, Single Nucleotide genetics
Abstract: Effective prevention of Alzheimer's disease (AD) requires the development of risk prediction tools permitting preclinical intervention. We constructed a genetic risk score (GRS) comprising common genetic variants associated with AD, evaluated its association with incident AD and assessed its capacity to improve risk prediction over traditional models based on age, sex, education, and APOEɛ4. In eight prospective cohorts included in the International Genomics of Alzheimer's Project (IGAP), we derived weighted sum of risk alleles from the 19 top SNPs reported by the IGAP GWAS in participants aged 65 and older without prevalent dementia. Hazard ratios (HR) of incident AD were estimated in Cox models. Improvement in risk prediction was measured by the difference in C-index (Δ-C), the integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI>0). Overall, 19,687 participants at risk were included, of whom 2,782 developed AD. The GRS was associated with a 17% increase in AD risk (pooled HR = 1.17; 95% CI = [1.13-1.21] per standard deviation increase in GRS; p-value = 2.86×10-16). This association was stronger among persons with at least one APOEɛ4 allele (HRGRS = 1.24; 95% CI = [1.15-1.34]) than in others (HRGRS = 1.13; 95% CI = [1.08-1.18]; pinteraction = 3.45×10-2). Risk prediction after seven years of follow-up showed a small improvement when adding the GRS to age, sex, APOEɛ4, and education (Δ-Cindex = 0.0043 [0.0019-0.0067]). Similar patterns were observed for IDI and NRI>0. In conclusion, a risk score incorporating common genetic variation outside the APOEɛ4 locus improved AD risk prediction and may facilitate risk stratification for prevention trials.
Published: 2016
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39. PLD3 variants in population studies.

Author: van der Lee SJ, Holstege H, Wong TH, Jakobsdottir J, Bis JC, Chouraki V, van Rooij JG, Grove ML, Smith AV, Amin N, Choi SH, Beiser AS, Garcia ME, van IJcken WF, Pijnenburg YA, Louwersheimer E, Brouwer RW, van den Hout MC, Oole E, Eirkisdottir G, Levy D, Rotter JI, Emilsson V, O'Donnell CJ, Aspelund T, Uitterlinden AG, Launer LJ, Hofman A, Boerwinkle E, Psaty BM, DeStefano AL, Scheltens P, Seshadri S, van Swieten JC, Gudnason V, van der Flier WM, Ikram MA, and van Duijn CM
Subjects: Female, Humans, Male, Alzheimer Disease genetics, Genetic Predisposition to Disease genetics, Genetic Variation genetics, Phospholipase D genetics
Published: 2015
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40. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

Author: Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, Brody JA, Dauriz M, Hivert MF, Raghavan S, Lipovich L, Hidalgo B, Fox K, Huffman JE, An P, Lu Y, Rasmussen-Torvik LJ, Grarup N, Ehm MG, Li L, Baldridge AS, Stančáková A, Abrol R, Besse C, Boland A, Bork-Jensen J, Fornage M, Freitag DF, Garcia ME, Guo X, Hara K, Isaacs A, Jakobsdottir J, Lange LA, Layton JC, Li M, Hua Zhao J, Meidtner K, Morrison AC, Nalls MA, Peters MJ, Sabater-Lleal M, Schurmann C, Silveira A, Smith AV, Southam L, Stoiber MH, Strawbridge RJ, Taylor KD, Varga TV, Allin KH, Amin N, Aponte JL, Aung T, Barbieri C, Bihlmeyer NA, Boehnke M, Bombieri C, Bowden DW, Burns SM, Chen Y, Chen YD, Cheng CY, Correa A, Czajkowski J, Dehghan A, Ehret GB, Eiriksdottir G, Escher SA, Farmaki AE, Frånberg M, Gambaro G, Giulianini F, Goddard WA 3rd, Goel A, Gottesman O, Grove ML, Gustafsson S, Hai Y, Hallmans G, Heo J, Hoffmann P, Ikram MK, Jensen RA, Jørgensen ME, Jørgensen T, Karaleftheri M, Khor CC, Kirkpatrick A, Kraja AT, Kuusisto J, Lange EM, Lee IT, Lee WJ, Leong A, Liao J, Liu C, Liu Y, Lindgren CM, Linneberg A, Malerba G, Mamakou V, Marouli E, Maruthur NM, Matchan A, McKean-Cowdin R, McLeod O, Metcalf GA, Mohlke KL, Muzny DM, Ntalla I, Palmer ND, Pasko D, Peter A, Rayner NW, Renström F, Rice K, Sala CF, Sennblad B, Serafetinidis I, Smith JA, Soranzo N, Speliotes EK, Stahl EA, Stirrups K, Tentolouris N, Thanopoulou A, Torres M, Traglia M, Tsafantakis E, Javad S, Yanek LR, Zengini E, Becker DM, Bis JC, Brown JB, Cupples LA, Hansen T, Ingelsson E, Karter AJ, Lorenzo C, Mathias RA, Norris JM, Peloso GM, Sheu WH, Toniolo D, Vaidya D, Varma R, Wagenknecht LE, Boeing H, Bottinger EP, Dedoussis G, Deloukas P, Ferrannini E, Franco OH, Franks PW, Gibbs RA, Gudnason V, Hamsten A, Harris TB, Hattersley AT, Hayward C, Hofman A, Jansson JH, Langenberg C, Launer LJ, Levy D, Oostra BA, O'Donnell CJ, O'Rahilly S, Padmanabhan S, Pankow JS, Polasek O, Province MA, Rich SS, Ridker PM, Rudan I, Schulze MB, Smith BH, Uitterlinden AG, Walker M, Watkins H, Wong TY, Zeggini E, Laakso M, Borecki IB, Chasman DI, Pedersen O, Psaty BM, Tai ES, van Duijn CM, Wareham NJ, Waterworth DM, Boerwinkle E, Kao WH, Florez JC, Loos RJ, Wilson JG, Frayling TM, Siscovick DS, Dupuis J, Rotter JI, Meigs JB, Scott RA, and Goodarzi MO
Subjects: Black People genetics, Diabetes Mellitus, Type 2 blood, Genetic Association Studies, Genetic Loci, Glucagon-Like Peptide-1 Receptor genetics, Glucose-6-Phosphatase genetics, Humans, Insulin blood, Polymorphism, Single Nucleotide genetics, White People genetics, Blood Glucose metabolism, Diabetes Mellitus, Type 2 genetics, Exome genetics, Fasting blood, Genetic Predisposition to Disease, Genetic Variation, Mutation Rate, Oligonucleotide Array Sequence Analysis
Abstract: Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
Published: 2015
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41. Genetic determinants of heel bone properties: genome-wide association meta-analysis and replication in the GEFOS/GENOMOS consortium.

Author: Moayyeri A, Hsu YH, Karasik D, Estrada K, Xiao SM, Nielson C, Srikanth P, Giroux S, Wilson SG, Zheng HF, Smith AV, Pye SR, Leo PJ, Teumer A, Hwang JY, Ohlsson C, McGuigan F, Minster RL, Hayward C, Olmos JM, Lyytikäinen LP, Lewis JR, Swart KM, Masi L, Oldmeadow C, Holliday EG, Cheng S, van Schoor NM, Harvey NC, Kruk M, del Greco M F, Igl W, Trummer O, Grigoriou E, Luben R, Liu CT, Zhou Y, Oei L, Medina-Gomez C, Zmuda J, Tranah G, Brown SJ, Williams FM, Soranzo N, Jakobsdottir J, Siggeirsdottir K, Holliday KL, Hannemann A, Go MJ, Garcia M, Polasek O, Laaksonen M, Zhu K, Enneman AW, McEvoy M, Peel R, Sham PC, Jaworski M, Johansson Å, Hicks AA, Pludowski P, Scott R, Dhonukshe-Rutten RA, van der Velde N, Kähönen M, Viikari JS, Sievänen H, Raitakari OT, González-Macías J, Hernández JL, Mellström D, Ljunggren O, Cho YS, Völker U, Nauck M, Homuth G, Völzke H, Haring R, Brown MA, McCloskey E, Nicholson GC, Eastell R, Eisman JA, Jones G, Reid IR, Dennison EM, Wark J, Boonen S, Vanderschueren D, Wu FC, Aspelund T, Richards JB, Bauer D, Hofman A, Khaw KT, Dedoussis G, Obermayer-Pietsch B, Gyllensten U, Pramstaller PP, Lorenc RS, Cooper C, Kung AW, Lips P, Alen M, Attia J, Brandi ML, de Groot LC, Lehtimäki T, Riancho JA, Campbell H, Liu Y, Harris TB, Akesson K, Karlsson M, Lee JY, Wallaschofski H, Duncan EL, O'Neill TW, Gudnason V, Spector TD, Rousseau F, Orwoll E, Cummings SR, Wareham NJ, Rivadeneira F, Uitterlinden AG, Prince RL, Kiel DP, Reeve J, and Kaptoge SK
Subjects: Adult, Aged, Aged, 80 and over, Bone Density, Calcaneus physiology, Cohort Studies, Female, Fractures, Bone diagnostic imaging, Fractures, Bone metabolism, Fractures, Bone physiopathology, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Osteoporosis diagnostic imaging, Osteoporosis metabolism, Osteoporosis physiopathology, Polymorphism, Single Nucleotide, Ultrasonography, Young Adult, Calcaneus diagnostic imaging, Fractures, Bone genetics, Genome-Wide Association Study, Osteoporosis genetics
Abstract: Quantitative ultrasound of the heel captures heel bone properties that independently predict fracture risk and, with bone mineral density (BMD) assessed by X-ray (DXA), may be convenient alternatives for evaluating osteoporosis and fracture risk. We performed a meta-analysis of genome-wide association (GWA) studies to assess the genetic determinants of heel broadband ultrasound attenuation (BUA; n = 14 260), velocity of sound (VOS; n = 15 514) and BMD (n = 4566) in 13 discovery cohorts. Independent replication involved seven cohorts with GWA data (in silico n = 11 452) and new genotyping in 15 cohorts (de novo n = 24 902). In combined random effects, meta-analysis of the discovery and replication cohorts, nine single nucleotide polymorphisms (SNPs) had genome-wide significant (P < 5 × 10(-8)) associations with heel bone properties. Alongside SNPs within or near previously identified osteoporosis susceptibility genes including ESR1 (6q25.1: rs4869739, rs3020331, rs2982552), SPTBN1 (2p16.2: rs11898505), RSPO3 (6q22.33: rs7741021), WNT16 (7q31.31: rs2908007), DKK1 (10q21.1: rs7902708) and GPATCH1 (19q13.11: rs10416265), we identified a new locus on chromosome 11q14.2 (rs597319 close to TMEM135, a gene recently linked to osteoblastogenesis and longevity) significantly associated with both BUA and VOS (P < 8.23 × 10(-14)). In meta-analyses involving 25 cohorts with up to 14 985 fracture cases, six of 10 SNPs associated with heel bone properties at P < 5 × 10(-6) also had the expected direction of association with any fracture (P < 0.05), including three SNPs with P < 0.005: 6q22.33 (rs7741021), 7q31.31 (rs2908007) and 10q21.1 (rs7902708). In conclusion, this GWA study reveals the effect of several genes common to central DXA-derived BMD and heel ultrasound/DXA measures and points to a new genetic locus with potential implications for better understanding of osteoporosis pathophysiology.
Published: 2014
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42. Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.

Author: Peloso GM, Auer PL, Bis JC, Voorman A, Morrison AC, Stitziel NO, Brody JA, Khetarpal SA, Crosby JR, Fornage M, Isaacs A, Jakobsdottir J, Feitosa MF, Davies G, Huffman JE, Manichaikul A, Davis B, Lohman K, Joon AY, Smith AV, Grove ML, Zanoni P, Redon V, Demissie S, Lawson K, Peters U, Carlson C, Jackson RD, Ryckman KK, Mackey RH, Robinson JG, Siscovick DS, Schreiner PJ, Mychaleckyj JC, Pankow JS, Hofman A, Uitterlinden AG, Harris TB, Taylor KD, Stafford JM, Reynolds LM, Marioni RE, Dehghan A, Franco OH, Patel AP, Lu Y, Hindy G, Gottesman O, Bottinger EP, Melander O, Orho-Melander M, Loos RJ, Duga S, Merlini PA, Farrall M, Goel A, Asselta R, Girelli D, Martinelli N, Shah SH, Kraus WE, Li M, Rader DJ, Reilly MP, McPherson R, Watkins H, Ardissino D, Zhang Q, Wang J, Tsai MY, Taylor HA, Correa A, Griswold ME, Lange LA, Starr JM, Rudan I, Eiriksdottir G, Launer LJ, Ordovas JM, Levy D, Chen YD, Reiner AP, Hayward C, Polasek O, Deary IJ, Borecki IB, Liu Y, Gudnason V, Wilson JG, van Duijn CM, Kooperberg C, Rich SS, Psaty BM, Rotter JI, O'Donnell CJ, Rice K, Boerwinkle E, Kathiresan S, and Cupples LA
Subjects: 1-Alkyl-2-acetylglycerophosphocholine Esterase genetics, 1-Alkyl-2-acetylglycerophosphocholine Esterase metabolism, Adult, Aged, Alleles, Animals, Black People genetics, Cholesterol, HDL blood, Cholesterol, LDL blood, Cohort Studies, Coronary Disease blood, Female, Genetic Association Studies, Genetic Code, Humans, Linear Models, Male, Mice, Mice, Inbred C57BL, Microtubule-Associated Proteins genetics, Microtubule-Associated Proteins metabolism, Middle Aged, Phenotype, Sequence Analysis, DNA, Subtilisins genetics, Subtilisins metabolism, White People genetics, Cholesterol, HDL genetics, Cholesterol, LDL genetics, Coronary Disease genetics, Gene Frequency, Genetic Variation, Triglycerides blood
Abstract: Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1% and 2%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited., (Copyright © 2014 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2014
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43. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.

Author: Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, Tang ZZ, Bizon C, Lange EM, Smith JD, Turner EH, Jun G, Kang HM, Peloso G, Auer P, Li KP, Flannick J, Zhang J, Fuchsberger C, Gaulton K, Lindgren C, Locke A, Manning A, Sim X, Rivas MA, Holmen OL, Gottesman O, Lu Y, Ruderfer D, Stahl EA, Duan Q, Li Y, Durda P, Jiao S, Isaacs A, Hofman A, Bis JC, Correa A, Griswold ME, Jakobsdottir J, Smith AV, Schreiner PJ, Feitosa MF, Zhang Q, Huffman JE, Crosby J, Wassel CL, Do R, Franceschini N, Martin LW, Robinson JG, Assimes TL, Crosslin DR, Rosenthal EA, Tsai M, Rieder MJ, Farlow DN, Folsom AR, Lumley T, Fox ER, Carlson CS, Peters U, Jackson RD, van Duijn CM, Uitterlinden AG, Levy D, Rotter JI, Taylor HA, Gudnason V Jr, Siscovick DS, Fornage M, Borecki IB, Hayward C, Rudan I, Chen YE, Bottinger EP, Loos RJ, Sætrom P, Hveem K, Boehnke M, Groop L, McCarthy M, Meitinger T, Ballantyne CM, Gabriel SB, O'Donnell CJ, Post WS, North KE, Reiner AP, Boerwinkle E, Psaty BM, Altshuler D, Kathiresan S, Lin DY, Jarvik GP, Cupples LA, Kooperberg C, Wilson JG, Nickerson DA, Abecasis GR, Rich SS, Tracy RP, and Willer CJ
Subjects: Adult, Aged, Apolipoproteins E blood, Apolipoproteins E genetics, Cohort Studies, Dyslipidemias blood, Dyslipidemias genetics, Female, Follow-Up Studies, Genetic Code, Genotype, Humans, Lipase genetics, Male, Middle Aged, Phenotype, Proprotein Convertase 9, Proprotein Convertases genetics, Receptors, LDL genetics, Sequence Analysis, DNA, Serine Endopeptidases genetics, Cholesterol, LDL genetics, Exome, Gene Frequency, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract: Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments., (Copyright © 2014 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2014
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44. MASTOR: mixed-model association mapping of quantitative traits in samples with related individuals.

Author: Jakobsdottir J and McPeek MS
Subjects: Computer Simulation, Humans, Genetic Association Studies methods, Inheritance Patterns genetics, Models, Genetic, Phenotype, Quantitative Trait, Heritable, Software
Abstract: Genetic association studies often sample individuals with known familial relationships in addition to unrelated individuals, and it is common for some individuals to have missing data (phenotypes, genotypes, or covariates). When some individuals in a sample are related, power can be gained by incorporating all individuals in the analysis, including individuals with partially missing data, while properly accounting for the dependence among them. We propose MASTOR, a mixed-model, retrospective score test for genetic association with a quantitative trait. MASTOR achieves high power in samples that contain related individuals by making full use of the relationship information to incorporate partially missing data in the analysis while correcting for dependence. Individuals with available phenotype and covariate information who are not genotyped but have genotyped relatives in the sample can still contribute to the association analysis because of the dependence among genotypes. Similarly, individuals who are genotyped but are missing covariate or phenotype information can contribute to the analysis. MASTOR is valid even when the phenotype model is misspecified and with either random or phenotype-based ascertainment. In simulations, we demonstrate the correct type 1 error of MASTOR, the increase in power that comes from making full use of the relationship information, the robustness to misspecification of the phenotype model, and the improvement in power that comes from modeling the heritability. We show that MASTOR is computationally feasible and practical in genome-wide association studies. We apply MASTOR to data on high-density lipoprotein cholesterol from the Framingham Heart study., (Copyright © 2013 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2013
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45. Complement factor H genetic variant and age-related macular degeneration: effect size, modifiers and relationship to disease subtype.

Author: Sofat R, Casas JP, Webster AR, Bird AC, Mann SS, Yates JR, Moore AT, Sepp T, Cipriani V, Bunce C, Khan JC, Shahid H, Swaroop A, Abecasis G, Branham KE, Zareparsi S, Bergen AA, Klaver CC, Baas DC, Zhang K, Chen Y, Gibbs D, Weber BH, Keilhauer CN, Fritsche LG, Lotery A, Cree AJ, Griffiths HL, Bhattacharya SS, Chen LL, Jenkins SA, Peto T, Lathrop M, Leveillard T, Gorin MB, Weeks DE, Ortube MC, Ferrell RE, Jakobsdottir J, Conley YP, Rahu M, Seland JH, Soubrane G, Topouzis F, Vioque J, Tomazzoli L, Young I, Whittaker J, Chakravarthy U, de Jong PT, Smeeth L, Fletcher A, and Hingorani AD
Subjects: Aged, Aged, 80 and over, Case-Control Studies, Female, Genetic Predisposition to Disease ethnology, Genotype, Humans, Macular Degeneration classification, Male, Prospective Studies, Smoking ethnology, Smoking genetics, Complement Factor H genetics, Macular Degeneration ethnology, Macular Degeneration genetics, Polymorphism, Single Nucleotide genetics, White People genetics
Abstract: Background: Variation in the complement factor H gene (CFH) is associated with risk of late age-related macular degeneration (AMD). Previous studies have been case-control studies in populations of European ancestry with little differentiation in AMD subtype, and insufficient power to confirm or refute effect modification by smoking., Methods: To precisely quantify the association of the single nucleotide polymorphism (SNP rs1061170, 'Y402H') with risk of AMD among studies with differing study designs, participant ancestry and AMD grade and to investigate effect modification by smoking, we report two unpublished genetic association studies (n = 2759) combined with data from 24 published studies (26 studies, 26,494 individuals, including 14,174 cases of AMD) of European ancestry, 10 of which provided individual-level data used to test gene-smoking interaction; and 16 published studies from non-European ancestry., Results: In individuals of European ancestry, there was a significant association between Y402H and late-AMD with a per-allele odds ratio (OR) of 2.27 [95% confidence interval (CI) 2.10-2.45; P = 1.1 x 10(-161)]. There was no evidence of effect modification by smoking (P = 0.75). The frequency of Y402H varied by ancestral origin and the association with AMD in non-Europeans was less clear, limited by paucity of studies., Conclusion: The Y402H variant confers a 2-fold higher risk of late-AMD per copy in individuals of European descent. This was stable to stratification by study design and AMD classification and not modified by smoking. The lack of association in non-Europeans requires further verification. These findings are of direct relevance for disease prediction. New research is needed to ascertain if differences in circulating levels, expression or activity of factor H protein explain the genetic association.
Published: 2012
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46. Dissection of chromosome 16p12 linkage peak suggests a possible role for CACNG3 variants in age-related macular degeneration susceptibility.

Author: Spencer KL, Olson LM, Schnetz-Boutaud N, Gallins P, Wang G, Scott WK, Agarwal A, Jakobsdottir J, Conley Y, Weeks DE, Gorin MB, Pericak-Vance MA, and Haines JL
Subjects: Aged, Female, Gene Expression Regulation physiology, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium, Lod Score, Male, Polymorphism, Single Nucleotide, Risk Factors, Calcium Channels genetics, Chromosomes, Human, Pair 16 genetics, Genetic Linkage, Genetic Predisposition to Disease, Macular Degeneration genetics
Abstract: Purpose: Age-related macular degeneration (AMD) is a complex disorder of the retina, characterized by drusen, geographic atrophy, and choroidal neovascularization. Cigarette smoking and the genetic variants CFH Y402H, ARMS2 A69S, CFB R32Q, and C3 R102G have been strongly and consistently associated with AMD. Multiple linkage studies have found evidence suggestive of another AMD locus on chromosome 16p12 but the gene responsible has yet to be identified., Methods: In the initial phase of the study, single-nucleotide polymorphisms (SNPs) across chromosome 16 were examined for linkage and/or association in 575 Caucasian individuals from 148 multiplex and 77 singleton families. Additional variants were tested in an independent dataset of unrelated cases and controls. According to these results, in combination with gene expression data and biological knowledge, five genes were selected for further study: CACNG3, HS3ST4, IL4R, Q7Z6F8, and ITGAM., Results: After genotyping additional tagging SNPs across each gene, the strongest evidence for linkage and association was found within CACNG3 (rs757200 nonparametric LOD* = 3.3, APL (association in the presence of linkage) P = 0.06, and rs2238498 MQLS (modified quasi-likelihood score) P = 0.006 in the families; rs2283550 P = 1.3 × 10(-6), and rs4787924 P = 0.002 in the case-control dataset). After adjusting for known AMD risk factors, rs2283550 remained strongly associated (P = 2.4 × 10(-4)). Furthermore, the association signal at rs4787924 was replicated in an independent dataset (P = 0.035) and in a joint analysis of all the data (P = 0.001)., Conclusions: These results suggest that CACNG3 is the best candidate for an AMD risk gene within the 16p12 linkage peak. More studies are needed to confirm this association and clarify the role of the gene in AMD pathogenesis.
Published: 2011
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47. Genetic variants near TIMP3 and high-density lipoprotein-associated loci influence susceptibility to age-related macular degeneration.

Author: Chen W, Stambolian D, Edwards AO, Branham KE, Othman M, Jakobsdottir J, Tosakulwong N, Pericak-Vance MA, Campochiaro PA, Klein ML, Tan PL, Conley YP, Kanda A, Kopplin L, Li Y, Augustaitis KJ, Karoukis AJ, Scott WK, Agarwal A, Kovach JL, Schwartz SG, Postel EA, Brooks M, Baratz KH, Brown WL, Brucker AJ, Orlin A, Brown G, Ho A, Regillo C, Donoso L, Tian L, Kaderli B, Hadley D, Hagstrom SA, Peachey NS, Klein R, Klein BE, Gotoh N, Yamashiro K, Ferris Iii F, Fagerness JA, Reynolds R, Farrer LA, Kim IK, Miller JW, Cortón M, Carracedo A, Sanchez-Salorio M, Pugh EW, Doheny KF, Brion M, Deangelis MM, Weeks DE, Zack DJ, Chew EY, Heckenlively JR, Yoshimura N, Iyengar SK, Francis PJ, Katsanis N, Seddon JM, Haines JL, Gorin MB, Abecasis GR, and Swaroop A
Subjects: Alleles, Case-Control Studies, Chromosome Mapping, Complement Factor I genetics, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Regression Analysis, Risk, Tissue Inhibitor of Metalloproteinase-3 physiology, Genetic Predisposition to Disease, Lipoproteins, HDL metabolism, Macular Degeneration genetics, Tissue Inhibitor of Metalloproteinase-3 genetics
Abstract: We executed a genome-wide association scan for age-related macular degeneration (AMD) in 2,157 cases and 1,150 controls. Our results validate AMD susceptibility loci near CFH (P < 10(-75)), ARMS2 (P < 10(-59)), C2/CFB (P < 10(-20)), C3 (P < 10(-9)), and CFI (P < 10(-6)). We compared our top findings with the Tufts/Massachusetts General Hospital genome-wide association study of advanced AMD (821 cases, 1,709 controls) and genotyped 30 promising markers in additional individuals (up to 7,749 cases and 4,625 controls). With these data, we identified a susceptibility locus near TIMP3 (overall P = 1.1 x 10(-11)), a metalloproteinase involved in degradation of the extracellular matrix and previously implicated in early-onset maculopathy. In addition, our data revealed strong association signals with alleles at two loci (LIPC, P = 1.3 x 10(-7); CETP, P = 7.4 x 10(-7)) that were previously associated with high-density lipoprotein cholesterol (HDL-c) levels in blood. Consistent with the hypothesis that HDL metabolism is associated with AMD pathogenesis, we also observed association with AMD of HDL-c-associated alleles near LPL (P = 3.0 x 10(-3)) and ABCA1 (P = 5.6 x 10(-4)). Multilocus analysis including all susceptibility loci showed that 329 of 331 individuals (99%) with the highest-risk genotypes were cases, and 85% of these had advanced AMD. Our studies extend the catalog of AMD associated loci, help identify individuals at high risk of disease, and provide clues about underlying cellular pathways that should eventually lead to new therapies.
Published: 2010
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48. Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers.

Author: Jakobsdottir J, Gorin MB, Conley YP, Ferrell RE, and Weeks DE
Subjects: Diabetes Mellitus, Type 2 etiology, Diabetes Mellitus, Type 2 genetics, Genetic Markers, Genetic Testing methods, Humans, Inflammatory Bowel Diseases etiology, Inflammatory Bowel Diseases genetics, Macular Degeneration etiology, Macular Degeneration genetics, Male, Odds Ratio, Prostatic Neoplasms etiology, Prostatic Neoplasms genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Logistic Models, Polymorphism, Single Nucleotide
Abstract: Recent successful discoveries of potentially causal single nucleotide polymorphisms (SNPs) for complex diseases hold great promise, and commercialization of genomics in personalized medicine has already begun. The hope is that genetic testing will benefit patients and their families, and encourage positive lifestyle changes and guide clinical decisions. However, for many complex diseases, it is arguable whether the era of genomics in personalized medicine is here yet. We focus on the clinical validity of genetic testing with an emphasis on two popular statistical methods for evaluating markers. The two methods, logistic regression and receiver operating characteristic (ROC) curve analysis, are applied to our age-related macular degeneration dataset. By using an additive model of the CFH, LOC387715, and C2 variants, the odds ratios are 2.9, 3.4, and 0.4, with p-values of 10(-13), 10(-13), and 10(-3), respectively. The area under the ROC curve (AUC) is 0.79, but assuming prevalences of 15%, 5.5%, and 1.5% (which are realistic for age groups 80 y, 65 y, and 40 y and older, respectively), only 30%, 12%, and 3% of the group classified as high risk are cases. Additionally, we present examples for four other diseases for which strongly associated variants have been discovered. In type 2 diabetes, our classification model of 12 SNPs has an AUC of only 0.64, and two SNPs achieve an AUC of only 0.56 for prostate cancer. Nine SNPs were not sufficient to improve the discrimination power over that of nongenetic predictors for risk of cardiovascular events. Finally, in Crohn's disease, a model of five SNPs, one with a quite low odds ratio of 0.26, has an AUC of only 0.66. Our analyses and examples show that strong association, although very valuable for establishing etiological hypotheses, does not guarantee effective discrimination between cases and controls. The scientific community should be cautious to avoid overstating the value of association findings in terms of personalized medicine before their time., Competing Interests: The authors are listed as the inventors in a patent filed by the University of Pittsburgh for the LOC387715/ARMS2 locus.
Published: 2009
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49. C2 and CFB genes in age-related maculopathy and joint action with CFH and LOC387715 genes.

Author: Jakobsdottir J, Conley YP, Weeks DE, Ferrell RE, and Gorin MB
Subjects: Aging, Case-Control Studies, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Complement C2 genetics, Complement Factor B genetics, Complement Factor H genetics, Macular Degeneration genetics
Abstract: Background: Age-related maculopathy (ARM) is a common cause of visual impairment in the elderly populations of industrialized countries and significantly affects the quality of life of those suffering from the disease. Variants within two genes, the complement factor H (CFH) and the poorly characterized LOC387715 (ARMS2), are widely recognized as ARM risk factors. CFH is important in regulation of the alternative complement pathway suggesting this pathway is involved in ARM pathogenesis. Two other complement pathway genes, the closely linked complement component receptor (C2) and complement factor B (CFB), were recently shown to harbor variants associated with ARM., Methods/principal Findings: We investigated two SNPs in C2 and two in CFB in independent case-control and family cohorts of white subjects and found rs547154, an intronic SNP in C2, to be significantly associated with ARM in both our case-control (P-value 0.00007) and family data (P-value 0.00001). Logistic regression analysis suggested that accounting for the effect at this locus significantly (P-value 0.002) improves the fit of a genetic risk model of CFH and LOC387715 effects only. Modeling with the generalized multifactor dimensionality reduction method showed that adding C2 to the two-factor model of CFH and LOC387715 increases the sensitivity (from 63% to 73%). However, the balanced accuracy increases only from 71% to 72%, and the specificity decreases from 80% to 72%., Conclusions/significance: C2/CFB significantly influences AMD susceptibility and although accounting for effects at this locus does not dramatically increase the overall accuracy of the genetic risk model, the improvement over the CFH-LOC387715 model is statistically significant.
Published: 2008
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50. Estimating prevalence, false-positive rate, and false-negative rate with use of repeated testing when true responses are unknown.

Author: Jakobsdottir J and Weeks DE
Subjects: Bayes Theorem, Computer Simulation, False Negative Reactions, False Positive Reactions, Female, Gene Dosage, Humans, Likelihood Functions, Male, Reproducibility of Results, Algorithms
Published: 2007
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