48 results on '"El Mokhtari, NE"'
Search Results
2. Large-scale gene-centric analysis identifies novel variants for coronary artery disease
- Author
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Butterworth, As, Braund, Ps, Farrall, M, Hardwick, Rj, Saleheen, D, Peden, Jf, Soranzo, N, Chambers, Jc, Sivapalaratnam, S, Kleber, Me, Keating, B, Qasim, A, Klopp, N, Erdmann, J, Assimes, Tl, Ball, Sg, Balmforth, Aj, Barnes, Ta, Basart, H, Baumert, J, Bezzina, Cr, Boerwinkle, E, Boehm, Bo, Brocheton, J, Bugert, P, Cambien, F, Clarke, R, Codd, V, Collins, R, Couper, D, Cupples, La, de Jong JS, Diemert, P, Ejebe, K, Elbers, Cc, Elliott, P, Fornage, M, Franzosi, Mg, Frossard, P, Garner, S, Goel, A, Goodall, Ah, Hengstenberg, C, Hunt, Se, Kastelein, Jj, Klungel, Oh, Klüter, H, Koch, K, König, Ir, Kooner, As, Laaksonen, R, Lathrop, M, Li, M, Liu, K, Mcpherson, R, Musameh, Md, Musani, S, Nelson, Cp, O'Donnell, Cj, Ongen, H, Papanicolaou, G, Peters, A, Peters, Bj, Potter, S, Psaty, Bm, Qu, L, Rader, Dj, Rasheed, A, Rice, C, Scott, J, Seedorf, U, Sehmi, Js, Sotoodehnia, N, Stark, K, Stephens, J, van der Schoot CE, van der Schouw YT, Thorsteinsdottir, U, Tomaszewski, M, van der Harst, P, Vasan, Rs, Wilde, Aa, Willenborg, C, Winkelmann, Br, Zaidi, M, Zhang, W, Ziegler, A, de Bakker PI, Koenig, W, Mätz, W, Trip, Md, Reilly, Mp, Kathiresan, S, Schunkert, H, Hamsten, A, Hall, As, Kooner, Js, Thompson, Sg, Thompson, Jr, Deloukas, P, Ouwehand, Wh, Watkins, H, Danesh, J, Samani, Nj, Barnes, T, Rafelt, S, Bruinsma, N, Dekker, Lr, Henriques, Jp, Koch, Kt, de Winter RJ, Alings, M, Allaart, Cf, Gorgels, Ap, Verheugt, Fw, Mueller, M, Meisinger, C, Derohannessian, S, Mehta, Nn, Ferguson, J, Hakonarson, H, Matthai, W, Wilensky, R, Hopewell, Jc, Parish, S, Linksted, P, Notman, J, Gonzalez, H, Young, A, Ostley, T, Munday, A, Goodwin, N, Verdon, V, Shah, S, Cobb, L, Edwards, C, Mathews, C, Gunter, R, Benham, J, Davies, C, Cobb, M, Crowther, J, Richards, A, Silver, M, Tochlin, S, Mozley, S, Clark, S, Radley, M, Kourellias, K, Silveira, A, Söderholm, B, Olsson, P, Barlera, S, Tognoni, G, Rust, S, Assmann, G, Heath, S, Zelenika, D, Gut, I, Green, F, Peden, J, Aly, A, Anner, K, Björklund, K, Blomgren, G, Cederschiöld, B, Danell Toverud, K, Eriksson, P, Grundstedt, U, Heinonen, M, Hellénius, Ml, van't Hooft, F, Husman, K, Lagercrantz, J, Larsson, A, Larsson, M, Mossfeldt, M, Mälarstig, A, Olsson, G, Sabater Lleal, M, Sennblad, B, Strawbridge, R, Öhrvik, J, Zaman, Ks, Mallick, Nh, Azhar, M, Samad, A, Ishaq, M, Shah, N, Samuel, M, Reilly, M, Holm, H, Preuss, M, Stewart, Af, Barbalic, M, Gieger, C, Absher, D, Aherrahrou, Z, Allayee, H, Altshuler, D, Anand, S, Andersen, K, Anderson, Jl, Ardissino, D, Becker, Lc, Becker, Dm, Berger, K, Bis, Jc, Boekholdt, Sm, Brown, Mj, Burnett, Ms, Buysschaert, I, Carlquist, Jf, Chen, L, Davies, Rw, Dedoussis, G, Dehghan, A, Demissie, S, Devaney, J, Do, R, Doering, A, El Mokhtari NE, Ellis, Sg, Elosua, R, Engert, Jc, Epstein, S, de Faire, U, Fischer, M, Folsom, Ar, Freyer, J, Gigante, B, Girelli, D, Gretarsdottir, S, Gudnason, V, Gulcher, Jr, Tennstedt, S, Halperin, E, Hammond, N, Hazen, Sl, Hofman, A, Horne, Bd, Illig, T, Iribarren, C, Jones, Gt, Jukema, Jw, Kaiser, Ma, Kaplan, Lm, Khaw, Kt, Knowles, Jw, Kolovou, G, Kong, A, Lambrechts, D, Leander, K, Lieb, W, Lettre, G, Loley, C, Lotery, Aj, Mannucci, Pm, Maouche, S, Martinelli, Nicola, Mckeown, Pp, Meitinger, T, Melander, O, Merlini, Pa, Mooser, V, Morgan, T, Mühleisen, Tw, Muhlestein, Jb, Musunuru, K, Nahrstaedt, J, Nöthen, Mm, Olivieri, Oliviero, Peyvandi, F, Patel, Rs, Patterson, Cc, Quyyumi, Aa, Rallidis, Ls, Roosendaal, Fr, Rubin, D, Salomaa, V, Sampietro, Ml, Sandhu, Ms, Schadt, E, Schäfer, A, Schillert, A, Schreiber, S, Schrezenmeir, J, Schwartz, Sm, Siscovick, Ds, Sivananthan, M, Smith, Av, Smith, Tb, Snoep, Jd, Spertus, Ja, Stefansson, K, Stirrups, K, Stoll, M, Tang, Wh, Thorgeirsson, G, Thorleifsson, G, Uitterlinden, Ag, van Rij AM, Voight, Bf, Wareham, Nj, Awells, G, Wichmann, He, Witteman, Jc, Wright, Bj, Ye, S, Quertermous, T, März, W, Blankenberg, S, Roberts, R, Onland Moret NC, van Setten, J, Verschuren, Wm, Boer, Jm, Wijmenga, C, Hofker, Mh, Maitland van der Zee AH, de Boer, A, Grobbee, De, Attwood, T, Belz, S, Braund, P, Cooper, J, Crisp Hihn, A, Foad, N, Gracey, J, Gray, E, Gwilliams, R, Heimerl, S, Jolley, J, Krishnan, U, Lloyd Jones, H, Lugauer, I, Lundmark, P, Moore, Js, Muir, D, Murray, E, Neudert, J, Niblett, D, O'Leary, K, Pollard, H, Rankin, A, Rice, Cm, Sager, H, Sambrook, J, Schmitz, G, Scholz, M, Schroeder, L, Syvannen, Ac, Wallace, C., Cardiologie, RS: CAPHRI School for Public Health and Primary Care, Vascular Medicine, Other departments, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Landsteiner Laboratory, Clinical Haematology, Pulmonology, and Medical Research Council (MRC)
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Male ,Cancer Research ,Candidate gene ,Epidemiology ,Genome-wide association study ,Coronary Artery Disease ,030204 cardiovascular system & hematology ,Cardiovascular ,0302 clinical medicine ,GENETICS & HEREDITY ,Genetics (clinical) ,Genetics ,0303 health sciences ,Cardiovascular diseases [NCEBP 14] ,Middle Aged ,3. Good health ,CYP17A1 ,Genetic Epidemiology ,Genome-wide association ,Myocardial-infarction ,Susceptibility loci ,Risk ,Atherosclerosis ,Metanalysis ,Lipoprotein ,Medicine ,Female ,Life Sciences & Biomedicine ,Research Article ,Asian Continental Ancestry Group ,Adult ,SUSCEPTIBILITY LOCI ,lcsh:QH426-470 ,European Continental Ancestry Group ,Biology ,Polymorphism, Single Nucleotide ,coronary artery disease ,genetics ,White People ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Asian People ,Genetic variation ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Allele ,Molecular Biology ,Gene ,METAANALYSIS ,Ecology, Evolution, Behavior and Systematics ,Genetic Association Studies ,Cardiovascular Disease Epidemiology ,Alleles ,030304 developmental biology ,Aged ,0604 Genetics ,Science & Technology ,Case-control study ,Genetic Variation ,Human Genetics ,Odds ratio ,large-scale gene analysis ,lcsh:Genetics ,LIPOPROTEIN ,MYOCARDIAL-INFARCTION ,ATHEROSCLEROSIS ,Case-Control Studies ,Genetics of Disease ,IBC 50K CAD Consortium ,Developmental Biology ,Genome-Wide Association Study - Abstract
Coronary artery disease (CAD) has a significant genetic contribution that is incompletely characterized. To complement genome-wide association (GWA) studies, we conducted a large and systematic candidate gene study of CAD susceptibility, including analysis of many uncommon and functional variants. We examined 49,094 genetic variants in ∼2,100 genes of cardiovascular relevance, using a customised gene array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin). We attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. Potential mechanisms through which the novel variants could affect CAD risk were explored through association tests with vascular risk factors and gene expression. We confirmed associations of several previously known CAD susceptibility loci (eg, 9p21.3:p, Author Summary Coronary artery disease (CAD) has a strong genetic basis that remains poorly characterised. Using a custom-designed array, we tested the association with CAD of almost 50,000 common and low frequency variants in ∼2,000 genes of known or suspected cardiovascular relevance. We genotyped the array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin) and attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. We report the novel association of variants in or near four genes with CAD and in additional studies identify potential mechanisms by which some of these novel variants affect CAD risk. Interestingly, we found that these variants, as well as the majority of previously reported CAD variants, have similar associations in Europeans and South Asians. Contrary to prior expectations, many previously suggested candidate genes did not show evidence of any effect on CAD risk, and neither did we identify any novel low frequency alleles with strong effects amongst the genes tested. Discovery of novel genes associated with heart disease may help to further understand the aetiology of cardiovascular disease and identify new targets for therapeutic interventions.
- Published
- 2016
3. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes
- Author
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Strawbridge, Rj, Dupuis, J, Prokopenko, I, Barker, A, Ahlqvist, E, Rybin, D, Petrie, Jr, Travers, Me, Bouatia Naji, N, Dimas, As, Nica, A, Wheeler, E, Chen, H, Voight, Bf, Taneera, J, Kanoni, S, Peden, Jf, Turrini, F, Gustafsson, S, Zabena, C, Almgren, P, Barker, Dj, Barnes, D, Dennison, Em, Eriksson, Jg, Eriksson, P, Eury, E, Folkersen, L, Fox, Cs, Frayling, Tm, Goel, A, Gu, Hf, Horikoshi, M, Isomaa, B, Jackson, Au, Jameson, Ka, Kajantie, E, Kerr Conte, J, Kuulasmaa, T, Kuusisto, J, Loos, Rj, Luan, J, Makrilakis, K, Manning, Ak, Martínez Larrad MT, Narisu, N, Nastase Mannila, M, Ohrvik, J, Osmond, C, Pascoe, L, Payne, F, Sayer, Aa, Sennblad, B, Silveira, A, Stancáková, A, Stirrups, K, Swift, Aj, Syvänen, Ac, Tuomi, T, van 't Hooft FM, Walker, M, Weedon, Mn, Xie, W, Zethelius, B, Diagram, Consortium, Giant, Consortium, Muther, Consortium, Cardiogram, Consortium, C4d, Consortium, Ongen, H, Mälarstig, A, Hopewell, Jc, Saleheen, D, Chambers, J, Parish, S, Danesh, J, Kooner, J, Ostenson, Cg, Lind, L, Cooper, Cc, Serrano Ríos, M, Ferrannini, E, Forsen, Tj, Clarke, R, Franzosi, Mg, Seedorf, U, Watkins, H, Froguel, P, Johnson, P, Deloukas, P, Collins, Fs, Laakso, M, Dermitzakis, Et, Boehnke, M, Mccarthy, Mi, Wareham, Nj, Groop, L, Pattou, F, Gloyn, Al, Dedoussis, Gv, Lyssenko, V, Meigs, Jb, Barroso, I, Watanabe, Rm, Ingelsson, E, Langenberg, C, Hamsten, A, Voight BF, Florez J. C., Scott, Lj, Steinthorsdottir, V, Morris, Ap, Dina, C, Welch, Rp, Zeggini, E, Huth, C, Aulchenko, Ys, Thorleifsson, G, Mcculloch, Lj, Ferreira, T, Grallert, H, Amin, N, Wu, G, Willer, Cj, Raychaudhuri, S, Mccarroll, Sa, Hofmann, Om, Qi, L, Segrè, Av, van Hoek, M, Navarro, P, Ardlie, K, Balkau, B, Benediktsson, R, Bennett, Aj, Blagieva, R, Boerwinkle, E, Bonnycastle, Ll, Bengtsson Boström, K, Bravenboer, B, Bumpstead, S, Burtt, P, Charpentier, G, Chines, Ps, Cornelis, M, Couper, Dj, Crawford, G, Doney, As, Elliott, Ks, Elliott, Al, Erdos, Mr, Franklin, Cs, Gieger, C, Grarup, N, Green, T, Griffin, S, Groves, Cj, Guiducci, C, Hadjadj, S, Hassanali, N, Herder, C, Johnson, Pr, Jørgensen, T, Kao, Wh, Klopp, N, Kong, A, Kraft, P, Lauritzen, T, Li, M, Lieverse, A, Lindgren, Cm, Marre, M, Meitinger, T, Midthjell, K, Morken, Ma, Nilsson, P, Owen, Kr, Perry, Jr, Petersen, K, Platou, C, Proença, C, Rathmann, W, William Rayner, N, Robertson, Nr, Rocheleau, G, Roden, M, Sampson, Mj, Saxena, R, Shields, Bm, Shrader, P, Sigurdsson, G, Sparsø, T, Strassburger, K, Stringham, Hm, Sun, Q, Thorand, B, Tichet, J, van Dam RM, van Haeften TW, van Herpt, T, van Vliet JV, Bragi Walters, G, Wijmenga, C, Witteman, J, Bergman, Rn, Cauchi, S, Gyllensten, U, Hansen, T, Hide, Wa, Hitman, Ga, Hofman, A, Hunter, Dj, Hveem, K, Mohlke, Kl, Morris, Ad, Palmer, Cn, Pramstaller, Pp, Rudan, I, Sijbrands, E, Stein, Ld, Tuomilehto, J, Uitterlinden, A, Abecasis, Gr, Boehm, Bo, Campbell, H, Daly, Mj, Hattersley, At, Hu, Fb, Pankow, Js, Pedersen, O, Wichmann, E, Florez, Jc, Sladek, R, Thorsteinsdottir, U, Wilson, Jf, Illig, T, Stefansson, K, Altshuler, D, Speliotes, Ek, Berndt, Si, Monda, Kl, Allen, Hl, Mägi, R, Randall, Jc, Vedantam, S, Winkler, Tw, Workalemahu, T, Heid, Im, Wood, Ar, Weyant, Rj, Estrada, K, Liang, L, Nemesh, J, Park, Jh, Kilpeläinen, To, Yang, J, Esko, T, Feitosa, Mf, Kutalik, Z, Mangino, M, Scherag, A, Smith, Av, Welch, R, Zhao, Jh, Aben, Kk, Absher, Dm, Dixon, Al, Fisher, E, Glazer, Nl, Goddard, Me, Heard Costa NL, Hoesel, V, Hottenga, Jj, Johansson, Å, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, Mf, Myers, Rh, Peters, Mj, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Timpson, Nj, Tyrer, Jp, van Wingerden, S, White, Cc, Wiklund, F, Barlassina, C, Chasman, Di, Cooper, Mn, Jansson, Jo, Lawrence, Rw, Pellikka, N, Shi, J, Thiering, E, Alavere, H, Alibrandi, Mt, Arnold, Am, Aspelund, T, Atwood, Ld, Balmforth, Aj, Ben Shlomo, Y, Bergmann, S, Biebermann, H, Blakemore, Ai, Boes, T, Bornstein, Sr, Brown, Mj, Buchanan, Ta, Busonero, F, Cappuccio, Fp, Cavalcanti Proença, C, Ida Chen YD, Chen, Cm, Coin, L, Connell, J, Day, In, den Heijer, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Facheris, Mf, Felix, Sb, Fischer Posovszky, P, Folsom, Ar, Friedrich, N, Freimer, Nb, Fu, M, Gaget, S, Gejman, Pv, Geus, Ej, Gjesing, Ap, Goyette, P, Grässler, J, Greenawalt, Dm, Gudnason, V, Hartikainen, Al, Hall, As, Havulinna, As, Hayward, C, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hinney, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Jacobs, Kb, Jarick, I, Jewell, E, John, U, Jousilahti, P, Jula, A, Kaakinen, M, Kaplan, Lm, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, Jw, Kolcic, I, König, Ir, Koskinen, S, Kovacs, P, Kvaløy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, Lj, Lecoeur, C, Terho, L, Lettre, G, Liu, J, Lokki, Ml, Lorentzon, M, Luben, Rn, Ludwig, B, Magic, Manunta, P, Marek, D, Martin, Ng, Mcardle, Wl, Mccarthy, A, Mcknight, B, Melander, O, Meyre, D, Montgomery, Gw, Mulic, R, Ngwa, Js, Nelis, M, Neville, Mj, Nyholt, Dr, O'Donnell, Cj, O'Rahilly, S, Ong, Kk, Oostra, B, Paré, G, Parker, An, Perola, M, Pichler, I, Pietiläinen, Kh, Platou, Cg, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, Nw, Ridderstråle, M, Rief, W, Ruokonen, A, Rzehak, P, Salomaa, V, Sanders, Ar, Sandhu, Ms, Sanna, S, Saramies, J, Savolainen, Mj, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, Ds, Smit, Jh, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Tammesoo, Ml, Tardif, Jc, Teder Laving, M, Teslovich, Tm, Thompson, Jr, Thomson, B, Tönjes, A, van Meurs JB, van Ommen GJ, Vatin, V, Viikari, J, Visvikis Siest, S, Vitart, V, Vogel, Ci, Waite, Ll, Wallaschofski, H, Walters, Gb, Widen, E, Wiegand, S, Wild, Sh, Willemsen, G, Witte, Dr, Witteman, Jc, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, Jp, Farooqi, Is, Hebebrand, J, Huikuri, Hv, James, Al, Kähönen, M, Levinson, Df, Macciardi, F, Nieminen, Ms, Ohlsson, C, Palmer, Lj, Ridker, Pm, Stumvoll, M, Beckmann, Js, Boeing, H, Dorret, I. B., Caulfield, Mj, Chanock, Sj, Cupples, La, Smith, Gd, Erdmann, J, Grönberg, H, Hall, P, Harris, Tb, Hayes, Rb, Heinrich, J, Jarvelin, Mr, Kaprio, J, Karpe, F, Khaw, Kt, Kiemeney, La, Krude, H, Lawlor, Da, Metspalu, A, Munroe, Pb, Ouwehand, Wh, Penninx, Bw, Peters, A, Quertermous, T, Reinehr, T, Rissanen, A, Samani, Nj, Schwarz, Pe, Shuldiner, Ar, Spector, Td, Uda, M, Valle, Tt, Wabitsch, M, Waeber, G, Shaun, P, Eric, E. S., Peter, M. V., Assimes, Tl, Borecki, Ib, Groop, Lc, Haritunians, T, Kaplan, Rc, O'Connell, Jr, Peltonen, L, Schlessinger, D, Strachan, Dp, van Duijn CM, Barroso, H, North, Ke, Hirschhorn, Jn, Nica, Ac, Parts, L, Glass, D, Nisbet, J, Barrett, A, Sekowska, M, Travers, M, Potter, S, Grundberg, E, Small, K, Hedman, Åk, Bataille, V, Bell, Jt, Surdulescu, G, Ingle, C, Nestle, Fo, di Meglio, P, Min, Jl, Wilk, A, Hammond, Cj, Yang, Tp, Montgomery, Sb, Zondervan, Kt, Durbin, R, Ahmadi, K, Reilly, Mp, Holm, H, Stewart, Af, Barbalic, M, Absher, D, Aherrahrou, Z, Allayee, H, Anand, Ss, Andersen, K, Anderson, Jl, Ardissino, D, Ball, Sg, Barnes, Ta, Becker, Dm, Becker, Lc, Berger, K, Bis, Jc, Boekholdt, Sm, Braund, Ps, Burnett, Ms, Buysschaert, I, Cardiogenics, Carlquist, Jf, Chen, L, Cichon, S, Codd, V, Davies, Rw, Dedoussis, G, Dehghan, A, Demissie, S, Devaney, Jm, Diemert, P, Do, R, Doering, A, Eifert, S, El Mokhtari NE, Ellis, Sg, Engert, Jc, Epstein, Se, de Faire, U, Fischer, M, Freyer, J, Gigante, B, Girelli, Domenico, Gretarsdottir, S, Gulcher, Jr, Halperin, E, Hammond, N, Hazen, Sl, Horne, Bd, Jones, Gt, Jukema, Jw, Kaiser, Ma, Kastelein, Jj, Kolovou, G, Laaksonen, R, Lambrechts, D, Leander, K, Lieb, W, Loley, C, Lotery, Aj, Mannucci, Pm, Maouche, S, Martinelli, Nicola, Mckeown, Pp, Meisinger, C, Merlini, Pa, Mooser, V, Morgan, T, Mühleisen, Tw, Muhlestein, Jb, Münzel, T, Musunuru, K, Nahrstaedt, J, Nelson, Cp, Nöthen, Mm, Olivieri, Oliviero, Patel, Rs, Patterson, Cc, Peyvandi, F, Qu, L, Quyyumi, Aa, Rader, Dj, Rallidis, Ls, Rice, C, Rosendaal, Fr, Rubin, D, Sampietro, Ml, Schadt, E, Schäfer, A, Schillert, A, Schrezenmeir, J, Schwartz, Sm, Sivananthan, M, Sivapalaratnam, S, Smith, A, Smith, Tb, Snoep, Jd, Spertus, Ja, Stark, K, Stoll, M, Tang, Wh, Tennstedt, S, Thorgeirsson, G, Tomaszewski, M, Uitterlinden, Ag, van Rij AM, Wells, Ga, Wichmann, He, Wild, Ps, Willenborg, C, Wright, Bj, Ye, S, Zeller, T, Cambien, F, Goodall, Ah, März, W, Blankenberg, S, Roberts, R, Mcpherson, R, Nilesh, J. S., Medical Research Council (MRC), Nica, Alexandra, Ongen, Halit, Dermitzakis, Emmanouil, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Vascular Medicine, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Scherag, Andre (Beitragende*r), Hinney, Anke (Beitragende*r), Scherag, S. (Beitragende*r), Vogel, C (Beitragende*r), Hebebrand, Johannes (Beitragende*r), University of Groningen, Wheeler, Eleanor [0000-0002-8616-6444], Barnes, Daniel [0000-0002-3781-7570], Luan, Jian'an [0000-0003-3137-6337], Johnson, Kathleen [0000-0002-6823-3252], Danesh, John [0000-0003-1158-6791], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
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Male ,Netherlands Twin Register (NTR) ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Medizin ,Genome-wide association study ,Type 2 diabetes ,CORONARY HEART-DISEASE ,Fasting/blood ,0302 clinical medicine ,Insulin ,Glucose homeostasis ,ddc:576.5 ,Genome-wide ,Diabetes Mellitus, Type 2/blood/genetics/metabolism ,CARDIoGRAM Consortium ,POPULATION ,Proinsulin ,RISK ,Genetics ,0303 health sciences ,INSULIN SENSITIVITY ,11 Medical And Health Sciences ,Fasting ,Polymorphism, Single Nucleotide/genetics ,OBESITY ,Female ,type 2 diabetes ,Life Sciences & Biomedicine ,hormones, hormone substitutes, and hormone antagonists ,Insulin processing ,Adult ,medicine.medical_specialty ,endocrine system ,ENDOCRINOLOGY & METABOLISM ,SUSCEPTIBILITY LOCI ,Genotype ,030209 endocrinology & metabolism ,DIAGRAM Consortium ,Biology ,C4D Consortium ,Polymorphism, Single Nucleotide ,Molecular epidemiology [NCEBP 1] ,03 medical and health sciences ,Insulin resistance ,BETA-CELL FUNCTION ,SDG 3 - Good Health and Well-being ,Internal medicine ,GIANT Consortium ,Internal Medicine ,medicine ,Humans ,METAANALYSIS ,030304 developmental biology ,Science & Technology ,Genome, Human ,Hormonal regulation [IGMD 6] ,Genetic Variation ,nutritional and metabolic diseases ,proinsulin ,medicine.disease ,Proinsulin/blood ,TCF7L2 ,Endocrinology ,Diabetes Mellitus, Type 2 ,MuTHER Consortium ,GLUCOSE-HOMEOSTASIS ,Insulin/blood - Abstract
OBJECTIVE Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology. RESEARCH DESIGN AND METHODS We have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates. RESULTS Nine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10−8). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10−4), improved β-cell function (P = 1.1 × 10−5), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10−6). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets. CONCLUSIONS We have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
- Published
- 2011
4. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization
- Author
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Arking, D, Pulit, S, Crotti, L, van der Harst, P, Munroe, P, Koopmann, T, Sotoodehnia, N, Rossin, E, Morley, M, Wang, X, Johnson, A, Lundby, A, Gudbjartsson, D, Noseworthy, P, Eijgelsheim, M, Bradford, Y, Tarasov, K, Dörr, M, Müller-Nurasyid, M, Lahtinen, A, Nolte, I, Smith, A, Bis, J, Isaacs, A, Newhouse, S, Evans, D, Post, W, Waggott, D, Lyytikäinen, L, Hicks, A, Eisele, L, Ellinghaus, D, Hayward, C, Navarro, P, Ulivi, S, Tanaka, T, Tester, D, Chatel, S, Gustafsson, S, Kumari, M, Morris, R, Naluai, A, Padmanabhan, S, Kluttig, A, Strohmer, B, Panayiotou, A, Torres, M, Knoflach, M, Hubacek, J, Slowikowski, K, Raychaudhuri, S, Kumar, R, Harris, T, Launer, L, Shuldiner, A, Alonso, A, Bader, J, Ehret, G, Huang, H, Kao, W, Strait, J, Macfarlane, P, Brown, M, Caulfield, M, Samani, N, Kronenberg, F, Willeit, J, Smith, J, Greiser, K, Meyer Zu Schwabedissen, H, Werdan, K, Carella, M, Zelante, L, Heckbert, S, Psaty, B, Rotter, J, Kolcic, I, Polašek, O, Wright, A, Griffin, M, Daly, M, Arnar, D, Hólm, H, Thorsteinsdottir, U, Denny, J, Roden, D, Zuvich, R, Emilsson, V, Plump, A, Larson, M, O'Donnell, C, Yin, X, Bobbo, M, D'Adamo, A, Iorio, A, Sinagra, G, Carracedo, A, Cummings, S, Nalls, M, Jula, A, Kontula, K, Marjamaa, A, Oikarinen, L, Perola, M, Porthan, K, Erbel, R, Hoffmann, P, Jöckel, K, Kälsch, H, Nöthen, M, den Hoed, M, Loos, R, Thelle, D, Gieger, C, Meitinger, T, Perz, S, Peters, A, Prucha, H, Sinner, M, Waldenberger, M, de Boer, R, Franke, L, van der Vleuten, P, Beckmann, B, Martens, E, Bardai, A, Hofman, N, Wilde, A, Behr, E, Dalageorgou, C, Giudicessi, J, Medeiros-Domingo, A, Kyndt, F, Probst, V, Ghidoni, A, Insolia, R, Hamilton, R, Scherer, S, Brandimarto, J, Margulies, K, Moravec, C, Greco, M, Fuchsberger, C, O'Connell, J, Lee, W, Watt, G, Campbell, H, Wild, S, El Mokhtari, N, Frey, N, Asselbergs, F, Mateo Leach, I, Navis, G, van den Berg, M, van Veldhuisen, D, Kellis, M, Krijthe, B, Franco, O, Hofman, A, Kors, J, Uitterlinden, A, Witteman, J, Kedenko, L, Lamina, C, Oostra, B, Abecasis, G, Lakatta, E, Mulas, A, Orrú, M, Schlessinger, D, Uda, M, Markus, M, Völker, U, Snieder, H, Spector, T, Arnlöv, J, Lind, L, Sundström, J, Syvänen, A, Kivimaki, M, Kähönen, M, Mononen, N, Raitakari, O, Viikari, J, Adamkova, V, Kiechl, S, Brion, M, Nicolaides, A, Paulweber, B, Haerting, J, Dominiczak, A, Nyberg, F, Whincup, P, Hingorani, A, Schott, J, Bezzina, C, Ingelsson, E, Ferrucci, L, Gasparini, P, Wilson, J, Rudan, I, Franke, A, Mühleisen, T, Pramstaller, P, Lehtimäki, T, Paterson, A, Parsa, A, Liu, Y, van Duijn, C, Siscovick, D, Gudnason, V, Jamshidi, Y, Salomaa, V, Felix, S, Sanna, S, Ritchie, M, Stricker, B, Stefansson, K, Boyer, L, Cappola, T, Olsen, J, Lage, K, Schwartz, P, Kääb, S, Chakravarti, A, Ackerman, M, Pfeufer, A, de Bakker, P, Newton-Cheh, C, Arking, DE, Pulit, SL, Munroe, PB, Rossin, EJ, Johnson, AD, Gudbjartsson, DF, Noseworthy, PA, Tarasov, KV, Lahtinen, AM, Nolte, IM, Smith, AV, Bis, JC, Newhouse, SJ, Evans, DS, Post, WS, Lyytikäinen, LP, Hicks, AA, Tester, DJ, Morris, RW, Naluai, AT, Panayiotou, AG, Hubacek, JA, Kumar, RD, Harris, TB, Launer, LJ, Shuldiner, AR, Bader, JS, Kao, WH, Strait, JB, Macfarlane, PW, Caulfield, MJ, Samani, NJ, Smith, JG, Greiser, KH, Heckbert, SR, Psaty, BM, Rotter, JI, Wright, AF, Daly, MJ, Arnar, DO, Denny, JC, Roden, DM, Zuvich, RL, Plump, AS, Larson, MG, O'Donnell, CJ, D'Adamo, AP, Cummings, SR, Nalls, MA, Kontula, KK, Jöckel, KH, Nöthen, MM, Loos, RJ, Thelle, DS, Sinner, MF, de Boer, RA, van der Vleuten, PA, Beckmann, BM, Wilde, AA, Behr, ER, Giudicessi, JR, Hamilton, RM, Scherer, SW, Moravec, CE, Greco, MFD, O'Connell, JR, Lee, WK, Watt, GC, Wild, SH, El Mokhtari, NE, Asselbergs, FW, van den Berg, MP, van Veldhuisen, DJ, Krijthe, BP, Franco, OH, Kors, JA, Uitterlinden, AG, Witteman, JC, Oostra, BA, Abecasis, GR, Lakatta, EG, Markus, MR, Spector, TD, Syvänen, AC, Raitakari, OT, Viikari, JS, Nicolaides, AN, Dominiczak, AF, Whincup, PH, Hingorani, AD, Schott, JJ, Bezzina, CR, Wilson, JF, Mühleisen, TW, Pramstaller, PP, Lehtimäki, TJ, Paterson, AD, van Duijn, CM, Siscovick, DS, Felix, SB, Ritchie, MD, Stricker, BH, Boyer, LA, Cappola, TP, Olsen, JV, Schwartz, PJ, Ackerman, MJ, de Bakker, PI, Arking, D, Pulit, S, Crotti, L, van der Harst, P, Munroe, P, Koopmann, T, Sotoodehnia, N, Rossin, E, Morley, M, Wang, X, Johnson, A, Lundby, A, Gudbjartsson, D, Noseworthy, P, Eijgelsheim, M, Bradford, Y, Tarasov, K, Dörr, M, Müller-Nurasyid, M, Lahtinen, A, Nolte, I, Smith, A, Bis, J, Isaacs, A, Newhouse, S, Evans, D, Post, W, Waggott, D, Lyytikäinen, L, Hicks, A, Eisele, L, Ellinghaus, D, Hayward, C, Navarro, P, Ulivi, S, Tanaka, T, Tester, D, Chatel, S, Gustafsson, S, Kumari, M, Morris, R, Naluai, A, Padmanabhan, S, Kluttig, A, Strohmer, B, Panayiotou, A, Torres, M, Knoflach, M, Hubacek, J, Slowikowski, K, Raychaudhuri, S, Kumar, R, Harris, T, Launer, L, Shuldiner, A, Alonso, A, Bader, J, Ehret, G, Huang, H, Kao, W, Strait, J, Macfarlane, P, Brown, M, Caulfield, M, Samani, N, Kronenberg, F, Willeit, J, Smith, J, Greiser, K, Meyer Zu Schwabedissen, H, Werdan, K, Carella, M, Zelante, L, Heckbert, S, Psaty, B, Rotter, J, Kolcic, I, Polašek, O, Wright, A, Griffin, M, Daly, M, Arnar, D, Hólm, H, Thorsteinsdottir, U, Denny, J, Roden, D, Zuvich, R, Emilsson, V, Plump, A, Larson, M, O'Donnell, C, Yin, X, Bobbo, M, D'Adamo, A, Iorio, A, Sinagra, G, Carracedo, A, Cummings, S, Nalls, M, Jula, A, Kontula, K, Marjamaa, A, Oikarinen, L, Perola, M, Porthan, K, Erbel, R, Hoffmann, P, Jöckel, K, Kälsch, H, Nöthen, M, den Hoed, M, Loos, R, Thelle, D, Gieger, C, Meitinger, T, Perz, S, Peters, A, Prucha, H, Sinner, M, Waldenberger, M, de Boer, R, Franke, L, van der Vleuten, P, Beckmann, B, Martens, E, Bardai, A, Hofman, N, Wilde, A, Behr, E, Dalageorgou, C, Giudicessi, J, Medeiros-Domingo, A, Kyndt, F, Probst, V, Ghidoni, A, Insolia, R, Hamilton, R, Scherer, S, Brandimarto, J, Margulies, K, Moravec, C, Greco, M, Fuchsberger, C, O'Connell, J, Lee, W, Watt, G, Campbell, H, Wild, S, El Mokhtari, N, Frey, N, Asselbergs, F, Mateo Leach, I, Navis, G, van den Berg, M, van Veldhuisen, D, Kellis, M, Krijthe, B, Franco, O, Hofman, A, Kors, J, Uitterlinden, A, Witteman, J, Kedenko, L, Lamina, C, Oostra, B, Abecasis, G, Lakatta, E, Mulas, A, Orrú, M, Schlessinger, D, Uda, M, Markus, M, Völker, U, Snieder, H, Spector, T, Arnlöv, J, Lind, L, Sundström, J, Syvänen, A, Kivimaki, M, Kähönen, M, Mononen, N, Raitakari, O, Viikari, J, Adamkova, V, Kiechl, S, Brion, M, Nicolaides, A, Paulweber, B, Haerting, J, Dominiczak, A, Nyberg, F, Whincup, P, Hingorani, A, Schott, J, Bezzina, C, Ingelsson, E, Ferrucci, L, Gasparini, P, Wilson, J, Rudan, I, Franke, A, Mühleisen, T, Pramstaller, P, Lehtimäki, T, Paterson, A, Parsa, A, Liu, Y, van Duijn, C, Siscovick, D, Gudnason, V, Jamshidi, Y, Salomaa, V, Felix, S, Sanna, S, Ritchie, M, Stricker, B, Stefansson, K, Boyer, L, Cappola, T, Olsen, J, Lage, K, Schwartz, P, Kääb, S, Chakravarti, A, Ackerman, M, Pfeufer, A, de Bakker, P, Newton-Cheh, C, Arking, DE, Pulit, SL, Munroe, PB, Rossin, EJ, Johnson, AD, Gudbjartsson, DF, Noseworthy, PA, Tarasov, KV, Lahtinen, AM, Nolte, IM, Smith, AV, Bis, JC, Newhouse, SJ, Evans, DS, Post, WS, Lyytikäinen, LP, Hicks, AA, Tester, DJ, Morris, RW, Naluai, AT, Panayiotou, AG, Hubacek, JA, Kumar, RD, Harris, TB, Launer, LJ, Shuldiner, AR, Bader, JS, Kao, WH, Strait, JB, Macfarlane, PW, Caulfield, MJ, Samani, NJ, Smith, JG, Greiser, KH, Heckbert, SR, Psaty, BM, Rotter, JI, Wright, AF, Daly, MJ, Arnar, DO, Denny, JC, Roden, DM, Zuvich, RL, Plump, AS, Larson, MG, O'Donnell, CJ, D'Adamo, AP, Cummings, SR, Nalls, MA, Kontula, KK, Jöckel, KH, Nöthen, MM, Loos, RJ, Thelle, DS, Sinner, MF, de Boer, RA, van der Vleuten, PA, Beckmann, BM, Wilde, AA, Behr, ER, Giudicessi, JR, Hamilton, RM, Scherer, SW, Moravec, CE, Greco, MFD, O'Connell, JR, Lee, WK, Watt, GC, Wild, SH, El Mokhtari, NE, Asselbergs, FW, van den Berg, MP, van Veldhuisen, DJ, Krijthe, BP, Franco, OH, Kors, JA, Uitterlinden, AG, Witteman, JC, Oostra, BA, Abecasis, GR, Lakatta, EG, Markus, MR, Spector, TD, Syvänen, AC, Raitakari, OT, Viikari, JS, Nicolaides, AN, Dominiczak, AF, Whincup, PH, Hingorani, AD, Schott, JJ, Bezzina, CR, Wilson, JF, Mühleisen, TW, Pramstaller, PP, Lehtimäki, TJ, Paterson, AD, van Duijn, CM, Siscovick, DS, Felix, SB, Ritchie, MD, Stricker, BH, Boyer, LA, Cappola, TP, Olsen, JV, Schwartz, PJ, Ackerman, MJ, and de Bakker, PI
- Abstract
The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD
- Published
- 2014
5. Large-scale association analysis identifies new risk loci for coronary artery disease
- Author
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Deloukas, P, Kanoni, S, Willenborg, C, Farrall, M, Assimes, T, Thompson, J, Ingelsson, E, Saleheen, D, Erdmann, J, Goldstein, B, Stirrups, K, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Willer, C, Chambers, J, Esko, T, Folkersen, L, Goel, A, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Kleber, M, Kristiansson, K, Lundmark, P, Lyytikäinen, L, Rafelt, S, Shungin, D, Strawbridge, R, Thorleifsson, G, Tikkanen, E, Van Zuydam, N, Voight, B, Waite, L, Zhang, W, Ziegler, A, Absher, D, Altshuler, D, Balmforth, A, Barroso, I, Braund, P, Burgdorf, C, Claudi Boehm, S, Cox, D, Dimitriou, M, Do, R, Doney, A, El Mokhtari, N, Eriksson, P, Fischer, K, Fontanillas, P, Franco Cereceda, A, Gigante, B, Groop, L, Gustafsson, S, Hager, J, Hallmans, G, Han, B, Hunt, S, Kang, H, Illig, T, Kessler, T, Knowles, J, Kolovou, J, Kuusisto, J, Langenberg, C, Langford, C, Leander, K, Lokki, M, Lundmark, A, Mccarthy, M, Meisinger, C, Melander, O, Mihailov, E, Maouche, S, Morris, A, Müller Nurasyid, M, Nikus, K, Peden, J, Rayner, N, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Song, C, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Amouyel, P, Arveiler, D, Basart, H, Boehnke, M, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Ferrières, J, Gauguier, D, Go, A, Goodall, A, Gudnason, V, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kähönen, M, Kee, F, Kim, H, Klopp, N, Koenig, W, Kratzer, W, Kuulasmaa, K, Laakso, M, Laaksonen, R, Lind, L, Ouwehand, W, Parish, S, Park, J, Pedersen, N, Peters, A, Quertermous, T, Rader, D, Salomaa, V, Schadt, E, Shah, S, Sinisalo, J, Stark, K, Stefansson, K, Trégouët, D, Virtamo, J, Wallentin, L, Wareham, N, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Syvänen, A, Hovingh, G, Dedoussis, G, Franks, P, Lehtimäki, T, Metspalu, A, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, Perola, M, Clarke, R, Boehm, B, O’Donnell, C, Reilly, M, März, W, Collins, R, Kathiresan, S, Hamsten, A, Kooner, J, Thorsteinsdottir, U, Danesh, J, Palmer, C, Roberts, R, Watkins, H, Schunkert, H, Samani, N, Assimes, TL, Thompson, JR, Goldstein, BA, König, IR, Cazier, JB, Hall, AS, Lee, JY, Willer, CJ, Chambers, JC, Havulinna, AS, Ho, WK, Hopewell, JC, Kleber, ME, Lyytikäinen, LP, Strawbridge, RJ, Voight, BF, Waite, LL, Balmforth, AJ, Braund, PS, Doney, ASF, El Mokhtari, NE, Han, BG, Hunt, SE, Kang, HM, Knowles, JW, Lokki, ML, McCarthy, MI, Morris, AD, Peden, JF, Rayner, NW, Rumpf, MP, Stewart, AFR, Tan, S. T, van der Schoot, CE, Wagner, PJ, Wells, GA, Wild, PS, Yang, T. P, Cupples, AL, Epstein, SE, Ferrario, MM, Go, AS, Goodall, AH, Hazen, SL, Kim, H. S, Lee, J. Y, Ouwehand, WH, Park, JE, Pedersen, NL, Rader, DJ, Shah, SH, Trégouët, D. A, Zimmermann, ME, Nieminen, MS, Sandhu, MS, Syvänen, A. C, Hovingh, GK, Franks, PW, Zalloua, PA, Blankenberg, SS, Boehm, BO, Reilly, MP, Kooner, JS, Palmer, CNA, Samani, NJ, BRAMBILLA, PAOLO, Deloukas, P, Kanoni, S, Willenborg, C, Farrall, M, Assimes, T, Thompson, J, Ingelsson, E, Saleheen, D, Erdmann, J, Goldstein, B, Stirrups, K, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Willer, C, Chambers, J, Esko, T, Folkersen, L, Goel, A, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Kleber, M, Kristiansson, K, Lundmark, P, Lyytikäinen, L, Rafelt, S, Shungin, D, Strawbridge, R, Thorleifsson, G, Tikkanen, E, Van Zuydam, N, Voight, B, Waite, L, Zhang, W, Ziegler, A, Absher, D, Altshuler, D, Balmforth, A, Barroso, I, Braund, P, Burgdorf, C, Claudi Boehm, S, Cox, D, Dimitriou, M, Do, R, Doney, A, El Mokhtari, N, Eriksson, P, Fischer, K, Fontanillas, P, Franco Cereceda, A, Gigante, B, Groop, L, Gustafsson, S, Hager, J, Hallmans, G, Han, B, Hunt, S, Kang, H, Illig, T, Kessler, T, Knowles, J, Kolovou, J, Kuusisto, J, Langenberg, C, Langford, C, Leander, K, Lokki, M, Lundmark, A, Mccarthy, M, Meisinger, C, Melander, O, Mihailov, E, Maouche, S, Morris, A, Müller Nurasyid, M, Nikus, K, Peden, J, Rayner, N, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Song, C, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Amouyel, P, Arveiler, D, Basart, H, Boehnke, M, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Ferrières, J, Gauguier, D, Go, A, Goodall, A, Gudnason, V, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kähönen, M, Kee, F, Kim, H, Klopp, N, Koenig, W, Kratzer, W, Kuulasmaa, K, Laakso, M, Laaksonen, R, Lind, L, Ouwehand, W, Parish, S, Park, J, Pedersen, N, Peters, A, Quertermous, T, Rader, D, Salomaa, V, Schadt, E, Shah, S, Sinisalo, J, Stark, K, Stefansson, K, Trégouët, D, Virtamo, J, Wallentin, L, Wareham, N, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Syvänen, A, Hovingh, G, Dedoussis, G, Franks, P, Lehtimäki, T, Metspalu, A, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, Perola, M, Clarke, R, Boehm, B, O’Donnell, C, Reilly, M, März, W, Collins, R, Kathiresan, S, Hamsten, A, Kooner, J, Thorsteinsdottir, U, Danesh, J, Palmer, C, Roberts, R, Watkins, H, Schunkert, H, Samani, N, Assimes, TL, Thompson, JR, Goldstein, BA, König, IR, Cazier, JB, Hall, AS, Lee, JY, Willer, CJ, Chambers, JC, Havulinna, AS, Ho, WK, Hopewell, JC, Kleber, ME, Lyytikäinen, LP, Strawbridge, RJ, Voight, BF, Waite, LL, Balmforth, AJ, Braund, PS, Doney, ASF, El Mokhtari, NE, Han, BG, Hunt, SE, Kang, HM, Knowles, JW, Lokki, ML, McCarthy, MI, Morris, AD, Peden, JF, Rayner, NW, Rumpf, MP, Stewart, AFR, Tan, S. T, van der Schoot, CE, Wagner, PJ, Wells, GA, Wild, PS, Yang, T. P, Cupples, AL, Epstein, SE, Ferrario, MM, Go, AS, Goodall, AH, Hazen, SL, Kim, H. S, Lee, J. Y, Ouwehand, WH, Park, JE, Pedersen, NL, Rader, DJ, Shah, SH, Trégouët, D. A, Zimmermann, ME, Nieminen, MS, Sandhu, MS, Syvänen, A. C, Hovingh, GK, Franks, PW, Zalloua, PA, Blankenberg, SS, Boehm, BO, Reilly, MP, Kooner, JS, Palmer, CNA, Samani, NJ, and BRAMBILLA, PAOLO
- Abstract
Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways
- Published
- 2013
6. Prevalence and comorbidity of smoking, obstructive lung diseases and coronary artery disease in 4847 patients
- Author
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Reinecke, A, primary, El Mokhtari, NE, additional, Cremer, J, additional, and Haake, N, additional
- Published
- 2009
- Full Text
- View/download PDF
7. Phenotype-genotype correlation and genetic epidemiology of epilepsy, febrile seizures and neonatal seizures in a defined nothern German region – “popgen-epilepsy“
- Author
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Ostertag, P, primary, Eberstein, H von, additional, El Mokhtari, NE, additional, Krawczak, M, additional, Schreiber, S, additional, Muhle, H, additional, Hampe, J, additional, and Stephani, U, additional
- Published
- 2005
- Full Text
- View/download PDF
8. Repeated replication and a prospective meta-analysis of the association between chromosome 9p21.3 and coronary artery disease.
- Author
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Schunkert H, Götz A, Braund P, McGinnis R, Tregouet DA, Mangino M, Linsel-Nitschke P, Cambien F, Hengstenberg C, Stark K, Blankenberg S, Tiret L, Ducimetiere P, Keniry A, Ghori MJ, Schreiber S, El Mokhtari NE, Hall AS, Dixon RJ, and Goodall AH
- Published
- 2008
- Full Text
- View/download PDF
9. Detection of diverse bacterial signatures in atherosclerotic lesions of patients with coronary heart disease.
- Author
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Ott SJ, El Mokhtari NE, Musfeldt M, Hellmig S, Freitag S, Rehman A, Kühbacher T, Nikolaus S, Namsolleck P, Blaut M, Hampe J, Sahly H, Reinecke A, Haake N, Günther R, Krüger D, Lins M, Herrmann G, Fölsch UR, and Simon R
- Published
- 2006
10. Association Between the Chromosome 9p21 Locus and Angiographic Coronary Artery Disease Burden A Collaborative Meta-Analysis
- Author
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Chan, K, Patel, RS, Newcombe, P, Nelson, CP, Qasim, A, Epstein, SE, Burnett, S, Vaccarino, VL, Zafari, AM, Shah, SH, Anderson, JL, Carlquist, JF, Hartiala, J, Allayee, H, Hinohara, K, Lee, BS, Erl, A, Ellis, KL, Goel, A, Schaefer, AS, El Mokhtari, NE, Goldstein, BA, Hlatky, MA, Go, AS, Shen, GQ, Gong, Y, Pepine, C, Laxton, RC, Whittaker, JC, Tang, WH, Johnson, JA, Wang, QK, Assimes, TL, Nöthlings, U, Farrall, M, Watkins, H, Richards, AM, Cameron, VA, Muendlein, A, Drexel, H, Koch, W, Park, JE, Kimura, A, Shen, WF, Simpson, IA, Hazen, SL, Horne, BD, Hauser, ER, Quyyumi, AA, Reilly, MP, Samani, NJ, and Ye, S
- Subjects
meta-analysis ,9p21 ,myocardial infarction ,single nucleotide polymorphism ,angiography ,cardiovascular diseases ,coronary artery disease - Abstract
Objectives: This study sought to ascertain the relationship of 9p21 locus with: 1) angiographic coronary artery disease (CAD) burden; and 2) myocardial infarction (MI) in individuals with underlying CAD. Background: Chromosome 9p21 variants have been robustly associated with coronary heart disease, but questions remain on the mechanism of risk, specifically whether the locus contributes to coronary atheroma burden or plaque instability. Methods: We established a collaboration of 21 studies consisting of 33,673 subjects with information on both CAD (clinical or angiographic) and MI status along with 9p21 genotype. Tabular data are provided for each cohort on the presence and burden of angiographic CAD, MI cases with underlying CAD, and the diabetic status of all subjects. Results: We first confirmed an association between 9p21 and CAD with angiographically defined cases and control subjects (pooled odds ratio [OR]: 1.31, 95% confidence interval [CI]: 1.20 to 1.43). Among subjects with angiographic CAD (n = 20,987), random-effects model identified an association with multivessel CAD, compared with those with single-vessel disease (OR: 1.10, 95% CI: 1.04 to 1.17)/copy of risk allele). Genotypic models showed an OR of 1.15, 95% CI: 1.04 to 1.26 for heterozygous carrier and OR: 1.23, 95% CI: 1.08 to 1.39 for homozygous carrier. Finally, there was no significant association between 9p21 and prevalent MI when both cases (n = 17,791) and control subjects (n = 15,882) had underlying CAD (OR: 0.99, 95% CI: 0.95 to 1.03)/risk allele. Conclusions: The 9p21 locus shows convincing association with greater burden of CAD but not with MI in the presence of underlying CAD. This adds further weight to the hypothesis that 9p21 locus primarily mediates an atherosclerotic phenotype. © 2013 American College of Cardiology Foundation.
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11. Retraction Note to: Inotropic therapy for cardiac low output syndrome: comparison of hemodynamic effects of dopamine/dobutamine versus dopamine/dopexamine.
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El Mokhtari NE, Arlt A, Meissner A, and Lins M
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- 2017
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12. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease.
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Webb TR, Erdmann J, Stirrups KE, Stitziel NO, Masca NG, Jansen H, Kanoni S, Nelson CP, Ferrario PG, König IR, Eicher JD, Johnson AD, Hamby SE, Betsholtz C, Ruusalepp A, Franzén O, Schadt EE, Björkegren JL, Weeke PE, Auer PL, Schick UM, Lu Y, Zhang H, Dube MP, Goel A, Farrall M, Peloso GM, Won HH, Do R, van Iperen E, Kruppa J, Mahajan A, Scott RA, Willenborg C, Braund PS, van Capelleveen JC, Doney AS, Donnelly LA, Asselta R, Merlini PA, Duga S, Marziliano N, Denny JC, Shaffer C, El-Mokhtari NE, Franke A, Heilmann S, Hengstenberg C, Hoffmann P, Holmen OL, Hveem K, Jansson JH, Jöckel KH, Kessler T, Kriebel J, Laugwitz KL, Marouli E, Martinelli N, McCarthy MI, Van Zuydam NR, Meisinger C, Esko T, Mihailov E, Escher SA, Alver M, Moebus S, Morris AD, Virtamo J, Nikpay M, Olivieri O, Provost S, AlQarawi A, Robertson NR, Akinsansya KO, Reilly DF, Vogt TF, Yin W, Asselbergs FW, Kooperberg C, Jackson RD, Stahl E, Müller-Nurasyid M, Strauch K, Varga TV, Waldenberger M, Zeng L, Chowdhury R, Salomaa V, Ford I, Jukema JW, Amouyel P, Kontto J, Nordestgaard BG, Ferrières J, Saleheen D, Sattar N, Surendran P, Wagner A, Young R, Howson JM, Butterworth AS, Danesh J, Ardissino D, Bottinger EP, Erbel R, Franks PW, Girelli D, Hall AS, Hovingh GK, Kastrati A, Lieb W, Meitinger T, Kraus WE, Shah SH, McPherson R, Orho-Melander M, Melander O, Metspalu A, Palmer CN, Peters A, Rader DJ, Reilly MP, Loos RJ, Reiner AP, Roden DM, Tardif JC, Thompson JR, Wareham NJ, Watkins H, Willer CJ, Samani NJ, Schunkert H, Deloukas P, and Kathiresan S
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- Case-Control Studies, Coronary Artery Disease epidemiology, Female, Gene Frequency, Genome-Wide Association Study, Humans, Male, Odds Ratio, Polymorphism, Single Nucleotide, Coronary Artery Disease genetics, Genetic Loci, Genetic Pleiotropy
- Abstract
Background: Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits., Objectives: This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci., Methods: In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs., Results: We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 × 10
-4 with a range of other diseases/traits., Conclusions: We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2017
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13. Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease.
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Stitziel NO, Stirrups KE, Masca NG, Erdmann J, Ferrario PG, König IR, Weeke PE, Webb TR, Auer PL, Schick UM, Lu Y, Zhang H, Dube MP, Goel A, Farrall M, Peloso GM, Won HH, Do R, van Iperen E, Kanoni S, Kruppa J, Mahajan A, Scott RA, Willenberg C, Braund PS, van Capelleveen JC, Doney AS, Donnelly LA, Asselta R, Merlini PA, Duga S, Marziliano N, Denny JC, Shaffer CM, El-Mokhtari NE, Franke A, Gottesman O, Heilmann S, Hengstenberg C, Hoffman P, Holmen OL, Hveem K, Jansson JH, Jöckel KH, Kessler T, Kriebel J, Laugwitz KL, Marouli E, Martinelli N, McCarthy MI, Van Zuydam NR, Meisinger C, Esko T, Mihailov E, Escher SA, Alver M, Moebus S, Morris AD, Müller-Nurasyid M, Nikpay M, Olivieri O, Lemieux Perreault LP, AlQarawi A, Robertson NR, Akinsanya KO, Reilly DF, Vogt TF, Yin W, Asselbergs FW, Kooperberg C, Jackson RD, Stahl E, Strauch K, Varga TV, Waldenberger M, Zeng L, Kraja AT, Liu C, Ehret GB, Newton-Cheh C, Chasman DI, Chowdhury R, Ferrario M, Ford I, Jukema JW, Kee F, Kuulasmaa K, Nordestgaard BG, Perola M, Saleheen D, Sattar N, Surendran P, Tregouet D, Young R, Howson JM, Butterworth AS, Danesh J, Ardissino D, Bottinger EP, Erbel R, Franks PW, Girelli D, Hall AS, Hovingh GK, Kastrati A, Lieb W, Meitinger T, Kraus WE, Shah SH, McPherson R, Orho-Melander M, Melander O, Metspalu A, Palmer CN, Peters A, Rader D, Reilly MP, Loos RJ, Reiner AP, Roden DM, Tardif JC, Thompson JR, Wareham NJ, Watkins H, Willer CJ, Kathiresan S, Deloukas P, Samani NJ, and Schunkert H
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- Aged, Angiopoietin-Like Protein 4, Female, Genotyping Techniques, Humans, Lipoprotein Lipase antagonists & inhibitors, Lipoprotein Lipase metabolism, Male, Middle Aged, Mutation, Missense, Risk Factors, Sequence Analysis, DNA, Triglycerides genetics, Angiopoietins genetics, Cell Adhesion Molecules genetics, Coronary Artery Disease genetics, Lipoprotein Lipase genetics, Mutation, Triglycerides blood
- Abstract
Background: The discovery of low-frequency coding variants affecting the risk of coronary artery disease has facilitated the identification of therapeutic targets., Methods: Through DNA genotyping, we tested 54,003 coding-sequence variants covering 13,715 human genes in up to 72,868 patients with coronary artery disease and 120,770 controls who did not have coronary artery disease. Through DNA sequencing, we studied the effects of loss-of-function mutations in selected genes., Results: We confirmed previously observed significant associations between coronary artery disease and low-frequency missense variants in the genes LPA and PCSK9. We also found significant associations between coronary artery disease and low-frequency missense variants in the genes SVEP1 (p.D2702G; minor-allele frequency, 3.60%; odds ratio for disease, 1.14; P=4.2×10(-10)) and ANGPTL4 (p.E40K; minor-allele frequency, 2.01%; odds ratio, 0.86; P=4.0×10(-8)), which encodes angiopoietin-like 4. Through sequencing of ANGPTL4, we identified 9 carriers of loss-of-function mutations among 6924 patients with myocardial infarction, as compared with 19 carriers among 6834 controls (odds ratio, 0.47; P=0.04); carriers of ANGPTL4 loss-of-function alleles had triglyceride levels that were 35% lower than the levels among persons who did not carry a loss-of-function allele (P=0.003). ANGPTL4 inhibits lipoprotein lipase; we therefore searched for mutations in LPL and identified a loss-of-function variant that was associated with an increased risk of coronary artery disease (p.D36N; minor-allele frequency, 1.9%; odds ratio, 1.13; P=2.0×10(-4)) and a gain-of-function variant that was associated with protection from coronary artery disease (p.S447*; minor-allele frequency, 9.9%; odds ratio, 0.94; P=2.5×10(-7))., Conclusions: We found that carriers of loss-of-function mutations in ANGPTL4 had triglyceride levels that were lower than those among noncarriers; these mutations were also associated with protection from coronary artery disease. (Funded by the National Institutes of Health and others.).
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- 2016
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14. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.
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Arking DE, Pulit SL, Crotti L, van der Harst P, Munroe PB, Koopmann TT, Sotoodehnia N, Rossin EJ, Morley M, Wang X, Johnson AD, Lundby A, Gudbjartsson DF, Noseworthy PA, Eijgelsheim M, Bradford Y, Tarasov KV, Dörr M, Müller-Nurasyid M, Lahtinen AM, Nolte IM, Smith AV, Bis JC, Isaacs A, Newhouse SJ, Evans DS, Post WS, Waggott D, Lyytikäinen LP, Hicks AA, Eisele L, Ellinghaus D, Hayward C, Navarro P, Ulivi S, Tanaka T, Tester DJ, Chatel S, Gustafsson S, Kumari M, Morris RW, Naluai ÅT, Padmanabhan S, Kluttig A, Strohmer B, Panayiotou AG, Torres M, Knoflach M, Hubacek JA, Slowikowski K, Raychaudhuri S, Kumar RD, Harris TB, Launer LJ, Shuldiner AR, Alonso A, Bader JS, Ehret G, Huang H, Kao WH, Strait JB, Macfarlane PW, Brown M, Caulfield MJ, Samani NJ, Kronenberg F, Willeit J, Smith JG, Greiser KH, Meyer Zu Schwabedissen H, Werdan K, Carella M, Zelante L, Heckbert SR, Psaty BM, Rotter JI, Kolcic I, Polašek O, Wright AF, Griffin M, Daly MJ, Arnar DO, Hólm H, Thorsteinsdottir U, Denny JC, Roden DM, Zuvich RL, Emilsson V, Plump AS, Larson MG, O'Donnell CJ, Yin X, Bobbo M, D'Adamo AP, Iorio A, Sinagra G, Carracedo A, Cummings SR, Nalls MA, Jula A, Kontula KK, Marjamaa A, Oikarinen L, Perola M, Porthan K, Erbel R, Hoffmann P, Jöckel KH, Kälsch H, Nöthen MM, den Hoed M, Loos RJ, Thelle DS, Gieger C, Meitinger T, Perz S, Peters A, Prucha H, Sinner MF, Waldenberger M, de Boer RA, Franke L, van der Vleuten PA, Beckmann BM, Martens E, Bardai A, Hofman N, Wilde AA, Behr ER, Dalageorgou C, Giudicessi JR, Medeiros-Domingo A, Barc J, Kyndt F, Probst V, Ghidoni A, Insolia R, Hamilton RM, Scherer SW, Brandimarto J, Margulies K, Moravec CE, del Greco M F, Fuchsberger C, O'Connell JR, Lee WK, Watt GC, Campbell H, Wild SH, El Mokhtari NE, Frey N, Asselbergs FW, Mateo Leach I, Navis G, van den Berg MP, van Veldhuisen DJ, Kellis M, Krijthe BP, Franco OH, Hofman A, Kors JA, Uitterlinden AG, Witteman JC, Kedenko L, Lamina C, Oostra BA, Abecasis GR, Lakatta EG, Mulas A, Orrú M, Schlessinger D, Uda M, Markus MR, Völker U, Snieder H, Spector TD, Ärnlöv J, Lind L, Sundström J, Syvänen AC, Kivimaki M, Kähönen M, Mononen N, Raitakari OT, Viikari JS, Adamkova V, Kiechl S, Brion M, Nicolaides AN, Paulweber B, Haerting J, Dominiczak AF, Nyberg F, Whincup PH, Hingorani AD, Schott JJ, Bezzina CR, Ingelsson E, Ferrucci L, Gasparini P, Wilson JF, Rudan I, Franke A, Mühleisen TW, Pramstaller PP, Lehtimäki TJ, Paterson AD, Parsa A, Liu Y, van Duijn CM, Siscovick DS, Gudnason V, Jamshidi Y, Salomaa V, Felix SB, Sanna S, Ritchie MD, Stricker BH, Stefansson K, Boyer LA, Cappola TP, Olsen JV, Lage K, Schwartz PJ, Kääb S, Chakravarti A, Ackerman MJ, Pfeufer A, de Bakker PI, and Newton-Cheh C
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- Adult, Aged, Arrhythmias, Cardiac genetics, Arrhythmias, Cardiac metabolism, Death, Sudden, Cardiac etiology, Electrocardiography methods, Female, Genetic Predisposition to Disease, Genome-Wide Association Study methods, Genotype, Heart Ventricles metabolism, Humans, Long QT Syndrome metabolism, Male, Middle Aged, Myocardium metabolism, Polymorphism, Single Nucleotide, Calcium Signaling genetics, Long QT Syndrome genetics
- Abstract
The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.
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- 2014
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15. A genome-wide association study identifies 6p21 as novel risk locus for dilated cardiomyopathy.
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Meder B, Rühle F, Weis T, Homuth G, Keller A, Franke J, Peil B, Lorenzo Bermejo J, Frese K, Huge A, Witten A, Vogel B, Haas J, Völker U, Ernst F, Teumer A, Ehlermann P, Zugck C, Friedrichs F, Kroemer H, Dörr M, Hoffmann W, Maisch B, Pankuweit S, Ruppert V, Scheffold T, Kühl U, Schultheiss HP, Kreutz R, Ertl G, Angermann C, Charron P, Villard E, Gary F, Isnard R, Komajda M, Lutz M, Meitinger T, Sinner MF, Wichmann HE, Krawczak M, Ivandic B, Weichenhan D, Gelbrich G, El-Mokhtari NE, Schreiber S, Felix SB, Hasenfuß G, Pfeufer A, Hübner N, Kääb S, Arbustini E, Rottbauer W, Frey N, Stoll M, and Katus HA
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- Cardiomyopathy, Dilated physiopathology, Case-Control Studies, Female, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Stroke Volume physiology, Cardiomyopathy, Dilated genetics, Chromosomes, Human, Pair 6 genetics, HLA-C Antigens genetics, Polymorphism, Single Nucleotide genetics
- Abstract
Aims: Dilated cardiomyopathy (DCM) is one of the leading causes for cardiac transplantations and accounts for up to one-third of all heart failure cases. Since extrinsic and monogenic causes explain only a fraction of all cases, common genetic variants are suspected to contribute to the pathogenesis of DCM, its age of onset, and clinical progression. By a large-scale case-control genome-wide association study we aimed here to identify novel genetic risk loci for DCM., Methods and Results: Applying a three-staged study design, we analysed more than 4100 DCM cases and 7600 controls. We identified and successfully replicated multiple single nucleotide polymorphism on chromosome 6p21. In the combined analysis, the most significant association signal was obtained for rs9262636 (P = 4.90 × 10(-9)) located in HCG22, which could again be replicated in an independent cohort. Taking advantage of expression quantitative trait loci (eQTL) as molecular phenotypes, we identified rs9262636 as an eQTL for several closely located genes encoding class I and class II major histocompatibility complex heavy chain receptors., Conclusion: The present study reveals a novel genetic susceptibility locus that clearly underlines the role of genetically driven, inflammatory processes in the pathogenesis of idiopathic DCM.
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- 2014
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16. The large non-coding RNA ANRIL, which is associated with atherosclerosis, periodontitis and several forms of cancer, regulates ADIPOR1, VAMP3 and C11ORF10.
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Bochenek G, Häsler R, El Mokhtari NE, König IR, Loos BG, Jepsen S, Rosenstiel P, Schreiber S, and Schaefer AS
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- Atherosclerosis genetics, Atherosclerosis pathology, Coronary Artery Disease pathology, Fatty Acids metabolism, Gene Expression Regulation, Gene Knockdown Techniques, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Glucose metabolism, HEK293 Cells, HeLa Cells, Humans, Neoplasms pathology, Oligonucleotide Array Sequence Analysis, Periodontitis pathology, Protein Isoforms genetics, Protein Isoforms metabolism, RNA, Long Noncoding metabolism, Time Factors, Coronary Artery Disease genetics, Neoplasms genetics, Periodontitis genetics, RNA, Long Noncoding genetics, Receptors, Adiponectin genetics, Transcription Factors genetics, Vesicle-Associated Membrane Protein 3 genetics
- Abstract
The long non-coding RNA ANRIL is the best replicated genetic risk locus of coronary artery disease (CAD) and periodontitis (PD), and is independently associated with a variety of other immune-mediated and metabolic disorders and several forms of cancer. Recent studies showed a correlation of decreased concentrations of proximal ANRIL transcripts with homozygous carriership of the CAD and PD main risk alleles. To elucidate the relation of these transcripts to disease manifestation, we constructed a short hairpin RNA in a stable inducible knock-down system of T-Rex 293 HEK cell lines, specifically targeting the proximal transcripts EU741058 and DQ485454. By genome-wide expression profiling using Affymetrix HG1.0 ST Arrays, we identified the transcription of ADIPOR1, VAMP3 and C11ORF10 to be correlated with decreased ANRIL expression in a time-dependent manner. We validated these findings on a transcriptional and translational level in different cell types. Exploration of the identified genes for the presence of disease associated variants, using Affymetrix 500K genotyping and Illumina custom genotyping arrays, highlighted a region upstream of VAMP3 within CAMTA1 to be associated with increased risk of CAD [rs10864294 P = 0.015, odds ratio (OR) = 1.30, 95% confidence interval (CI) = 1.1-1.6, 1471 cases, 2737 controls] and aggressive PD (AgP; P = 0.008, OR = 1.31, 95% CI = 1.1-1.6, 864 cases, 3664 controls). In silico replication in a meta-analysis of 14 genome-wide association studies of CAD of the CARDIoGRAM Consortium identified rs2301462, located on the same haplotype block, as associated with P = 0.001 upon adjustment for sex and age. Our results give evidence that specific isoforms of ANRIL regulate key genes of glucose and fatty acid metabolism.
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- 2013
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17. Association between the chromosome 9p21 locus and angiographic coronary artery disease burden: a collaborative meta-analysis.
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Chan K, Patel RS, Newcombe P, Nelson CP, Qasim A, Epstein SE, Burnett S, Vaccarino VL, Zafari AM, Shah SH, Anderson JL, Carlquist JF, Hartiala J, Allayee H, Hinohara K, Lee BS, Erl A, Ellis KL, Goel A, Schaefer AS, El Mokhtari NE, Goldstein BA, Hlatky MA, Go AS, Shen GQ, Gong Y, Pepine C, Laxton RC, Whittaker JC, Tang WH, Johnson JA, Wang QK, Assimes TL, Nöthlings U, Farrall M, Watkins H, Richards AM, Cameron VA, Muendlein A, Drexel H, Koch W, Park JE, Kimura A, Shen WF, Simpson IA, Hazen SL, Horne BD, Hauser ER, Quyyumi AA, Reilly MP, Samani NJ, and Ye S
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- Coronary Angiography, Coronary Artery Disease diagnostic imaging, Genetic Loci, Humans, Myocardial Infarction genetics, Polymorphism, Single Nucleotide, Chromosomes, Human, Pair 9 genetics, Coronary Artery Disease genetics
- Abstract
Objectives: This study sought to ascertain the relationship of 9p21 locus with: 1) angiographic coronary artery disease (CAD) burden; and 2) myocardial infarction (MI) in individuals with underlying CAD., Background: Chromosome 9p21 variants have been robustly associated with coronary heart disease, but questions remain on the mechanism of risk, specifically whether the locus contributes to coronary atheroma burden or plaque instability., Methods: We established a collaboration of 21 studies consisting of 33,673 subjects with information on both CAD (clinical or angiographic) and MI status along with 9p21 genotype. Tabular data are provided for each cohort on the presence and burden of angiographic CAD, MI cases with underlying CAD, and the diabetic status of all subjects., Results: We first confirmed an association between 9p21 and CAD with angiographically defined cases and control subjects (pooled odds ratio [OR]: 1.31, 95% confidence interval [CI]: 1.20 to 1.43). Among subjects with angiographic CAD (n = 20,987), random-effects model identified an association with multivessel CAD, compared with those with single-vessel disease (OR: 1.10, 95% CI: 1.04 to 1.17)/copy of risk allele). Genotypic models showed an OR of 1.15, 95% CI: 1.04 to 1.26 for heterozygous carrier and OR: 1.23, 95% CI: 1.08 to 1.39 for homozygous carrier. Finally, there was no significant association between 9p21 and prevalent MI when both cases (n = 17,791) and control subjects (n = 15,882) had underlying CAD (OR: 0.99, 95% CI: 0.95 to 1.03)/risk allele., Conclusions: The 9p21 locus shows convincing association with greater burden of CAD but not with MI in the presence of underlying CAD. This adds further weight to the hypothesis that 9p21 locus primarily mediates an atherosclerotic phenotype., (Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
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- 2013
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18. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study.
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Voight BF, Peloso GM, Orho-Melander M, Frikke-Schmidt R, Barbalic M, Jensen MK, Hindy G, Hólm H, Ding EL, Johnson T, Schunkert H, Samani NJ, Clarke R, Hopewell JC, Thompson JF, Li M, Thorleifsson G, Newton-Cheh C, Musunuru K, Pirruccello JP, Saleheen D, Chen L, Stewart A, Schillert A, Thorsteinsdottir U, Thorgeirsson G, Anand S, Engert JC, Morgan T, Spertus J, Stoll M, Berger K, Martinelli N, Girelli D, McKeown PP, Patterson CC, Epstein SE, Devaney J, Burnett MS, Mooser V, Ripatti S, Surakka I, Nieminen MS, Sinisalo J, Lokki ML, Perola M, Havulinna A, de Faire U, Gigante B, Ingelsson E, Zeller T, Wild P, de Bakker PI, Klungel OH, Maitland-van der Zee AH, Peters BJ, de Boer A, Grobbee DE, Kamphuisen PW, Deneer VH, Elbers CC, Onland-Moret NC, Hofker MH, Wijmenga C, Verschuren WM, Boer JM, van der Schouw YT, Rasheed A, Frossard P, Demissie S, Willer C, Do R, Ordovas JM, Abecasis GR, Boehnke M, Mohlke KL, Daly MJ, Guiducci C, Burtt NP, Surti A, Gonzalez E, Purcell S, Gabriel S, Marrugat J, Peden J, Erdmann J, Diemert P, Willenborg C, König IR, Fischer M, Hengstenberg C, Ziegler A, Buysschaert I, Lambrechts D, Van de Werf F, Fox KA, El Mokhtari NE, Rubin D, Schrezenmeir J, Schreiber S, Schäfer A, Danesh J, Blankenberg S, Roberts R, McPherson R, Watkins H, Hall AS, Overvad K, Rimm E, Boerwinkle E, Tybjaerg-Hansen A, Cupples LA, Reilly MP, Melander O, Mannucci PM, Ardissino D, Siscovick D, Elosua R, Stefansson K, O'Donnell CJ, Salomaa V, Rader DJ, Peltonen L, Schwartz SM, Altshuler D, and Kathiresan S
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- Biomarkers blood, Case-Control Studies, Cholesterol, LDL blood, Gene Frequency, Genetic Predisposition to Disease, Humans, Lipase genetics, Myocardial Infarction epidemiology, Myocardial Infarction etiology, Myocardial Infarction genetics, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Cholesterol, HDL blood, Mendelian Randomization Analysis methods, Myocardial Infarction blood
- Abstract
Background: High plasma HDL cholesterol is associated with reduced risk of myocardial infarction, but whether this association is causal is unclear. Exploiting the fact that genotypes are randomly assigned at meiosis, are independent of non-genetic confounding, and are unmodified by disease processes, mendelian randomisation can be used to test the hypothesis that the association of a plasma biomarker with disease is causal., Methods: We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20,913 myocardial infarction cases, 95,407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12,482 cases of myocardial infarction and 41,331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol., Findings: Carriers of the LIPG 396Ser allele (2·6% frequency) had higher HDL cholesterol (0·14 mmol/L higher, p=8×10(-13)) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with non-carriers. This difference in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84-0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88-1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58-0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68-1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45-1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69-2·69, p=2×10(-10))., Interpretation: Some genetic mechanisms that raise plasma HDL cholesterol do not seem to lower risk of myocardial infarction. These data challenge the concept that raising of plasma HDL cholesterol will uniformly translate into reductions in risk of myocardial infarction., Funding: US National Institutes of Health, The Wellcome Trust, European Union, British Heart Foundation, and the German Federal Ministry of Education and Research., (Copyright © 2012 Elsevier Ltd. All rights reserved.)
- Published
- 2012
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19. Genome-wide association study identifies a new locus for coronary artery disease on chromosome 10p11.23.
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Erdmann J, Willenborg C, Nahrstaedt J, Preuss M, König IR, Baumert J, Linsel-Nitschke P, Gieger C, Tennstedt S, Belcredi P, Aherrahrou Z, Klopp N, Loley C, Stark K, Hengstenberg C, Bruse P, Freyer J, Wagner AK, Medack A, Lieb W, Grosshennig A, Sager HB, Reinhardt A, Schäfer A, Schreiber S, El Mokhtari NE, Raaz-Schrauder D, Illig T, Garlichs CD, Ekici AB, Reis A, Schrezenmeir J, Rubin D, Ziegler A, Wichmann HE, Doering A, Meisinger C, Meitinger T, Peters A, and Schunkert H
- Subjects
- Adult, Cell Adhesion Molecules genetics, Chromosomes, Human, Pair 9 genetics, Female, Genome-Wide Association Study, Genotype, Genotyping Techniques methods, Humans, Male, Middle Aged, Pedigree, Risk Factors, Young Adult, Chromosomes, Human, Pair 10 genetics, Coronary Artery Disease genetics, Myocardial Infarction genetics, Polymorphism, Single Nucleotide genetics
- Abstract
Aims: Recent genome-wide association (GWA) studies identified 10 chromosomal loci for coronary artery disease (CAD) or myocardial infarction (MI). However, these loci explain only a small proportion of the genetic variability of these pertinent diseases. We sought to identify additional CAD/MI loci by applying a three-stage approach., Methods and Results: We genotyped n = 1157 MI cases and n = 1748 controls from a population-based study population [German MI Family Study (GerMIFS) III (KORA)] with genome-wide SNP arrays. At this first stage, n = 462 SNPs showed association with MI at P<1 × 10(-3) in two-sided logistic regression. In a second stage, 415 of these SNPs were evaluated in silico in two independent GWA samples, the GerMIFS I (875 cases/1644 controls) and GerMIFS II (1222 cases/1298 controls). Nine SNPs, representing three regions, displayed consistent replication in this in silico analysis (P<0.05 for each GWA sample): five SNPs at 9p21.3, a well-known CAD/MI locus, two SNPs at 10p11.21, and two SNPs at 2p24.3. Wet-lab replication, i.e. the third stage, of SNP rs3739998 (representing the novel locus at 10p11.21, p.S1002T in the KIAA1462 gene) in additional 5790 cases and 5302 controls confirmed the association (P=9.54 × 10(-4)), but not for the 2p24.3 locus. The combined P-value across all stages for SNP rs3739998 is P=1.27 × 10(-11) [odds ratio (OR) = 1.15 (1.11-1.20)]., Conclusion: Analysis of a GWA study followed by in silico and wet-lab replication steps identified the KIAA1462 gene, encoding a yet uncharacterized protein, on chromosome 10p11.23 with genome-wide significant association for CAD/MI. Further studies are needed to characterize the functional role of this locus in the aetiology of these diseases.
- Published
- 2011
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20. Platelet-activating factor levels of serum and gingival crevicular fluid in nonsmoking patients with periodontitis and/or coronary heart disease.
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Chen H, Zheng P, Zhu H, Zhu J, Zhao L, El Mokhtari NE, Eberhard J, Lins M, and Jepsen S
- Subjects
- Adult, Alveolar Bone Loss blood, Alveolar Bone Loss metabolism, Coronary Disease complications, Coronary Disease metabolism, Dental Plaque Index, Female, Gingival Hemorrhage blood, Gingival Hemorrhage metabolism, Humans, Inflammation Mediators analysis, Inflammation Mediators blood, Male, Middle Aged, Periodontal Attachment Loss blood, Periodontal Attachment Loss metabolism, Periodontal Pocket blood, Periodontal Pocket metabolism, Periodontitis complications, Periodontitis metabolism, Sulfides analysis, Young Adult, Coronary Disease blood, Gingival Crevicular Fluid chemistry, Periodontitis blood, Platelet Activating Factor analysis
- Abstract
The purpose of the present study was to investigate systemic and local levels of platelet-activating factor (PAF), a potent proinflammatory mediator implicated in cardiovascular pathophysiology in adult nonsmoking patients with periodontitis with or without coronary heart disease (CHD). Eighty-seven volunteers, 25 periodontitis patients, 19 periodontitis with CHD patients, 19 CHD patients, and 24 healthy controls were included, and periodontal conditions were assessed. Gingival crevicular fluid (GCF) and venous blood were collected, and PAF levels were measured by enzyme-linked immunosorbent assay. PAF levels in serum (303.3 ± 204 pg/ml) and in GCF (26.3 ± 6 pg/μl) of the periodontitis group with CHD, the periodontitis group (serum, 302.4 ± 241 pg/ml and GCF, 26.3 ± 8 pg/μl) and the CHD group (serum, 284.7 ± 192 pg/ml and GCF, 20.8 ± 6 pg/μl) were significantly higher than the healthy control group (serum, 65.4 ± 35 pg/ml and GCF, 7.7 ± 3 pg/μl; p < 0.05). In summary, the present study could demonstrate that in patients with periodontitis, the inflammatory mediator PAF is released into serum at least in the same range as for patients with coronary heart disease. However, no additive effects were seen when both conditions were present.
- Published
- 2010
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21. Genetic regulation of serum phytosterol levels and risk of coronary artery disease.
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Teupser D, Baber R, Ceglarek U, Scholz M, Illig T, Gieger C, Holdt LM, Leichtle A, Greiser KH, Huster D, Linsel-Nitschke P, Schäfer A, Braund PS, Tiret L, Stark K, Raaz-Schrauder D, Fiedler GM, Wilfert W, Beutner F, Gielen S, Grosshennig A, König IR, Lichtner P, Heid IM, Kluttig A, El Mokhtari NE, Rubin D, Ekici AB, Reis A, Garlichs CD, Hall AS, Matthes G, Wittekind C, Hengstenberg C, Cambien F, Schreiber S, Werdan K, Meitinger T, Loeffler M, Samani NJ, Erdmann J, Wichmann HE, Schunkert H, and Thiery J
- Subjects
- ABO Blood-Group System genetics, ATP Binding Cassette Transporter, Subfamily G, Member 5, ATP Binding Cassette Transporter, Subfamily G, Member 8, ATP-Binding Cassette Transporters genetics, Case-Control Studies, Coronary Artery Disease blood, Coronary Artery Disease etiology, Coronary Artery Disease metabolism, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Lipoproteins genetics, Male, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Validation Studies as Topic, Coronary Artery Disease genetics, Metabolism genetics, Phytosterols blood, Phytosterols pharmacokinetics
- Abstract
Background: Phytosterols are plant-derived sterols that are taken up from food and can serve as biomarkers of cholesterol uptake. Serum levels are under tight genetic control. We used a genomic approach to study the molecular regulation of serum phytosterol levels and potential links to coronary artery disease (CAD)., Methods and Results: A genome-wide association study for serum phytosterols (campesterol, sitosterol, brassicasterol) was conducted in a population-based sample from KORA (Cooperative Research in the Region of Augsburg) (n=1495) with subsequent replication in 2 additional samples (n=1157 and n=1760). Replicated single-nucleotide polymorphisms (SNPs) were tested for association with premature CAD in a metaanalysis of 11 different samples comprising 13 764 CAD cases and 13 630 healthy controls. Genetic variants in the ATP-binding hemitransporter ABCG8 and at the blood group ABO locus were significantly associated with serum phytosterols. Effects in ABCG8 were independently related to SNPs rs4245791 and rs41360247 (combined P=1.6 x 10(-50) and 6.2 x 10(-25), respectively; n=4412). Serum campesterol was elevated 12% for each rs4245791 T-allele. The same allele was associated with 40% decreased hepatic ABCG8 mRNA expression (P=0.009). Effects at the ABO locus were related to SNP rs657152 (combined P=9.4x10(-13)). Alleles of ABCG8 and ABO associated with elevated phytosterol levels displayed significant associations with increased CAD risk (rs4245791 odds ratio, 1.10; 95% CI, 1.06 to 1.14; P=2.2 x 10(-6); rs657152 odds ratio, 1.13; 95% CI, 1.07 to 1.19; P=9.4 x 10(-6)), whereas alleles at ABCG8 associated with reduced phytosterol levels were associated with reduced CAD risk (rs41360247 odds ratio, 0.84; 95% CI, 0.78 to 0.91; P=1.3 x 10(-5))., Conclusion: Common variants in ABCG8 and ABO are strongly associated with serum phytosterol levels and show concordant and previously unknown associations with CAD.
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- 2010
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22. Genome-wide haplotype association study identifies the SLC22A3-LPAL2-LPA gene cluster as a risk locus for coronary artery disease.
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Trégouët DA, König IR, Erdmann J, Munteanu A, Braund PS, Hall AS, Grosshennig A, Linsel-Nitschke P, Perret C, DeSuremain M, Meitinger T, Wright BJ, Preuss M, Balmforth AJ, Ball SG, Meisinger C, Germain C, Evans A, Arveiler D, Luc G, Ruidavets JB, Morrison C, van der Harst P, Schreiber S, Neureuther K, Schäfer A, Bugert P, El Mokhtari NE, Schrezenmeir J, Stark K, Rubin D, Wichmann HE, Hengstenberg C, Ouwehand W, Ziegler A, Tiret L, Thompson JR, Cambien F, Schunkert H, and Samani NJ
- Subjects
- Case-Control Studies, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Haplotypes, Humans, Multigene Family, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Apolipoprotein A-II genetics, Coronary Artery Disease genetics, Lipoprotein(a) genetics, Organic Cation Transport Proteins genetics
- Abstract
We identify the SLC22A3-LPAL2-LPA gene cluster as a strong susceptibility locus for coronary artery disease (CAD) through a genome-wide haplotype association (GWHA) study. This locus was not identified from previous genome-wide association (GWA) studies focused on univariate analyses of SNPs. The proposed approach may have wide utility for analyzing GWA data for other complex traits.
- Published
- 2009
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23. New susceptibility locus for coronary artery disease on chromosome 3q22.3.
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Erdmann J, Grosshennig A, Braund PS, König IR, Hengstenberg C, Hall AS, Linsel-Nitschke P, Kathiresan S, Wright B, Trégouët DA, Cambien F, Bruse P, Aherrahrou Z, Wagner AK, Stark K, Schwartz SM, Salomaa V, Elosua R, Melander O, Voight BF, O'Donnell CJ, Peltonen L, Siscovick DS, Altshuler D, Merlini PA, Peyvandi F, Bernardinelli L, Ardissino D, Schillert A, Blankenberg S, Zeller T, Wild P, Schwarz DF, Tiret L, Perret C, Schreiber S, El Mokhtari NE, Schäfer A, März W, Renner W, Bugert P, Klüter H, Schrezenmeir J, Rubin D, Ball SG, Balmforth AJ, Wichmann HE, Meitinger T, Fischer M, Meisinger C, Baumert J, Peters A, Ouwehand WH, Deloukas P, Thompson JR, Ziegler A, Samani NJ, and Schunkert H
- Subjects
- Case-Control Studies, Genome-Wide Association Study, Germany, Hepatocyte Nuclear Factor 1-alpha genetics, Humans, Polymorphism, Single Nucleotide, ras Proteins genetics, Chromosomes, Human, Pair 3, Coronary Artery Disease genetics, Genetic Predisposition to Disease, Quantitative Trait Loci
- Abstract
We present a three-stage analysis of genome-wide SNP data in 1,222 German individuals with myocardial infarction and 1,298 controls, in silico replication in three additional genome-wide datasets of coronary artery disease (CAD) and subsequent replication in approximately 25,000 subjects. We identified one new CAD risk locus on 3q22.3 in MRAS (P = 7.44 x 10(-13); OR = 1.15, 95% CI = 1.11-1.19), and suggestive association with a locus on 12q24.31 near HNF1A-C12orf43 (P = 4.81 x 10(-7); OR = 1.08, 95% CI = 1.05-1.11).
- Published
- 2009
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24. HBEGF, SRA1, and IK: Three cosegregating genes as determinants of cardiomyopathy.
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Friedrichs F, Zugck C, Rauch GJ, Ivandic B, Weichenhan D, Müller-Bardorff M, Meder B, El Mokhtari NE, Regitz-Zagrosek V, Hetzer R, Schäfer A, Schreiber S, Chen J, Neuhaus I, Ji R, Siemers NO, Frey N, Rottbauer W, Katus HA, and Stoll M
- Subjects
- Animals, Animals, Genetically Modified, Case-Control Studies, Cell Line, Chromosome Mapping, Chromosomes, Human, Pair 5, Cluster Analysis, Cytokines physiology, Embryo, Nonmammalian, Genetic Markers physiology, Heparin-binding EGF-like Growth Factor, Humans, Inflammation genetics, Intercellular Signaling Peptides and Proteins physiology, Linkage Disequilibrium, Polymorphism, Single Nucleotide, RNA, Long Noncoding, RNA, Untranslated physiology, Ventricular Function, Left genetics, Zebrafish embryology, Zebrafish genetics, Cardiomyopathies genetics, Chromosome Segregation physiology, Cytokines genetics, Intercellular Signaling Peptides and Proteins genetics, RNA, Untranslated genetics
- Abstract
Human dilated cardiomyopathy (DCM), a disorder of the cardiac muscle, causes considerable morbidity and mortality and is one of the major causes of sudden cardiac death. Genetic factors play a role in the etiology and pathogenesis of DCM. Disease-associated genetic variations identified to date have been identified in single families or single sporadic patients and explain a minority of the etiology of DCM. We show that a 600-kb region of linkage disequilibrium (LD) on 5q31.2-3, harboring multiple genes, is associated with cardiomyopathy in three independent Caucasian populations (combined P-value = 0.00087). Functional assessment in zebrafish demonstrates that at least three genes, orthologous to loci in this LD block, HBEGF, IK, and SRA1, result independently in a phenotype of myocardial contractile dysfunction when their expression is reduced with morpholino antisense reagents. Evolutionary analysis across multiple vertebrate genomes suggests that this heart failure-associated LD block emerged by a series of genomic rearrangements across amphibian, avian, and mammalian genomes and is maintained as a cluster in mammals. Taken together, these observations challenge the simple notion that disease phenotypes can be traced to altered function of a single locus within a haplotype and suggest that a more detailed assessment of causality can be necessary.
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- 2009
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25. Identification of a shared genetic susceptibility locus for coronary heart disease and periodontitis.
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Schaefer AS, Richter GM, Groessner-Schreiber B, Noack B, Nothnagel M, El Mokhtari NE, Loos BG, Jepsen S, and Schreiber S
- Subjects
- Adult, Aged, Chromosomes, Human, Pair 9 genetics, Diabetes Mellitus, Type 2 genetics, Female, Genotype, Germany, Humans, Linkage Disequilibrium, Male, Middle Aged, Polymorphism, Single Nucleotide, Coronary Disease genetics, Cyclin-Dependent Kinase Inhibitor p15 genetics, Cyclin-Dependent Kinase Inhibitor p16 genetics, Genetic Predisposition to Disease, Periodontitis genetics, RNA, Antisense genetics
- Abstract
Recent studies indicate a mutual epidemiological relationship between coronary heart disease (CHD) and periodontitis. Both diseases are associated with similar risk factors and are characterized by a chronic inflammatory process. In a candidate-gene association study, we identify an association of a genetic susceptibility locus shared by both diseases. We confirm the known association of two neighboring linkage disequilibrium regions on human chromosome 9p21.3 with CHD and show the additional strong association of these loci with the risk of aggressive periodontitis. For the lead SNP of the main associated linkage disequilibrium region, rs1333048, the odds ratio of the autosomal-recessive mode of inheritance is 1.99 (95% confidence interval 1.33-2.94; P = 6.9 x 10(-4)) for generalized aggressive periodontitis, and 1.72 (1.06-2.76; P = 2.6 x 10(-2)) for localized aggressive periodontitis. The two associated linkage disequilibrium regions map to the sequence of the large antisense noncoding RNA ANRIL, which partly overlaps regulatory and coding sequences of CDKN2A/CDKN2B. A closely located diabetes-associated variant was independent of the CHD and periodontitis risk haplotypes. Our study demonstrates that CHD and periodontitis are genetically related by at least one susceptibility locus, which is possibly involved in ANRIL activity and independent of diabetes associated risk variants within this region. Elucidation of the interplay of ANRIL transcript variants and their involvement in increased susceptibility to the interactive diseases CHD and periodontitis promises new insight into the underlying shared pathogenic mechanisms of these complex common diseases., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2009
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26. Inotropic therapy for cardiac low output syndrome: comparison of hemodynamic effects of dopamine/dobutamine versus dopamine/dopexamine.
- Author
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El Mokhtari NE, Arlt A, Meissner A, and Lins M
- Subjects
- Aged, Blood Pressure drug effects, Cardiac Output, Low physiopathology, Cardiac Output, Low therapy, Cardiotonic Agents administration & dosage, Female, Hemodynamics drug effects, Humans, Male, Middle Aged, Myocardium metabolism, Oxygen Consumption drug effects, Respiration, Artificial, Retrospective Studies, Shock, Cardiogenic drug therapy, Shock, Cardiogenic physiopathology, Shock, Cardiogenic therapy, Cardiac Output, Low drug therapy, Dobutamine administration & dosage, Dopamine administration & dosage, Dopamine analogs & derivatives
- Abstract
Objective: To examine the effects of a therapy with dopexamine/dopamine in comparison with a regimen of dobutamine/dopamine on the outcome of patients with profound cardiogenic shock., Material and Methods: Twenty patients presenting with an acute cardiogenic shock assisted with mechanical ventilation, being refractory to a therapy with dopamine alone were analyzed. After persistence of low cardiac output syndrome (cardiac index <2.5 l/min/m2) was confirmed, patients were treated either with receiving dopexamine (2 microg/kg/min) (group 1) or dobutamine (6 microg/kg/min) (group 2) in combination with dopamine (6 microg/kg/min) for 24 hrs. Hemodynamic parameters, urine production and clinical outcome were measured at intervals throughout the study. The groups were similar with respect to demographics and risk factors and there were no significant differences in the supportive treatment and hemodynamics at baseline., Results: The dopexamine treated patients had lower myocardial oxygen consumption (9310+/-2243 mmHg O2/sec vs. 10621+/-2552 mmHg O2/sec) and lower mean arterial pressure (66+/-11 mmHg vs. 71+/-10 mmHg) after the 24 hrs treatment interval, but no one of the changes reached statistical significance. No differences were found between the two groups for other variables and the overall clinical outcome., Conclusion: The present study revealed that neither substance is superior in the treatment of cardiogenic shock, even if the effect on myocardial consumption and the reported beneficial effects on renal and splanchnic functions might favour the use of dopexamine under certain circumstances.
- Published
- 2008
27. Lifelong reduction of LDL-cholesterol related to a common variant in the LDL-receptor gene decreases the risk of coronary artery disease--a Mendelian Randomisation study.
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Linsel-Nitschke P, Götz A, Erdmann J, Braenne I, Braund P, Hengstenberg C, Stark K, Fischer M, Schreiber S, El Mokhtari NE, Schaefer A, Schrezenmeir J, Rubin D, Hinney A, Reinehr T, Roth C, Ortlepp J, Hanrath P, Hall AS, Mangino M, Lieb W, Lamina C, Heid IM, Doering A, Gieger C, Peters A, Meitinger T, Wichmann HE, König IR, Ziegler A, Kronenberg F, Samani NJ, and Schunkert H
- Subjects
- Case-Control Studies, Cholesterol, LDL drug effects, Cholesterol, LDL genetics, Chromosome Mapping, Humans, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Random Allocation, Risk Assessment, Risk Factors, Anticholesteremic Agents therapeutic use, Cholesterol, LDL blood, Chromosomes, Human, Pair 10, Coronary Disease genetics, Coronary Disease prevention & control, Genetic Variation, Receptors, LDL genetics
- Abstract
Background: Rare mutations of the low-density lipoprotein receptor gene (LDLR) cause familial hypercholesterolemia, which increases the risk for coronary artery disease (CAD). Less is known about the implications of common genetic variation in the LDLR gene regarding the variability of cholesterol levels and risk of CAD., Methods: Imputed genotype data at the LDLR locus on 1 644 individuals of a population-based sample were explored for association with LDL-C level. Replication of association with LDL-C level was sought for the most significant single nucleotide polymorphism (SNP) within the LDLR gene in three European samples comprising 6 642 adults and 533 children. Association of this SNP with CAD was examined in six case-control studies involving more than 15 000 individuals., Findings: Each copy of the minor T allele of SNP rs2228671 within LDLR (frequency 11%) was related to a decrease of LDL-C levels by 0.19 mmol/L (95% confidence interval (CI) [0.13-0.24] mmol/L, p = 1.5x10(-10)). This association with LDL-C was uniformly found in children, men, and women of all samples studied. In parallel, the T allele of rs2228671 was associated with a significantly lower risk of CAD (Odds Ratio per copy of the T allele: 0.82, 95% CI [0.76-0.89], p = 2.1x10(-7)). Adjustment for LDL-C levels by logistic regression or Mendelian Randomisation models abolished the significant association between rs2228671 with CAD completely, indicating a functional link between the genetic variant at the LDLR gene locus, change in LDL-C and risk of CAD., Conclusion: A common variant at the LDLR gene locus affects LDL-C levels and, thereby, the risk for CAD.
- Published
- 2008
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28. Standardized quantification of pulmonary fibrosis in histological samples.
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Hübner RH, Gitter W, El Mokhtari NE, Mathiak M, Both M, Bolte H, Freitag-Wolf S, and Bewig B
- Subjects
- Animals, Antibiotics, Antineoplastic administration & dosage, Antibiotics, Antineoplastic toxicity, Bleomycin administration & dosage, Bleomycin toxicity, Inhalation Exposure, Observer Variation, Pulmonary Fibrosis chemically induced, Pulmonary Fibrosis diagnostic imaging, Pulmonary Fibrosis pathology, Radiography, Rats, Rats, Inbred Lew, Reproducibility of Results, Pulmonary Fibrosis diagnosis
- Abstract
The Ashcroft scale for the evaluation of bleomycin-induced lung fibrosis is the analysis of stained histological samples by visual assessment. Based on the knowledge that this procedure is not standardized in animals and results are highly variable, we hypothesized that modification of this method may improve quantification of lung fibrosis in small animals. To prove our hypothesis, we evaluated pulmonary fibrosis in Lewis rats induced by a single intratracheal injection of 0.3 mg/kg body weight bleomycin (n = 13) compared with the same amount of saline in a control group (n = 4). We modified the Ashcroft scale by precisely defining the assignment of grades from 0 to 8 for the increasing extent of fibrosis in lung histological samples. Thirty-two observers were randomly assigned to evaluate 108 photographs of slides using either the Ashcroft scale or the modified scale. Consistent with our hypothesis, there was a significant reduction in the variability of standard deviations with the modified scale compared with the Ashcroft scale (mean of variability 0.25 versus 0.62, P < 0.0001). Applying the kappa index, the Ashcroft scale showed only a fair to moderate agreement (0.23-0.59) between the observers and a low intra-observer agreement (0.51-0.74) in contrast to the modified scale, which demonstrated a moderate to good agreement between the observers (0.65-0.93, P < 0.0001) and a high intra-observer agreement (0.87-0.91, P < 0.05). To test the modified scale in vivo, we compared both scales with the results of computed tomography (CT) of the lungs obtained from the same mice. In agreement, the modified scale demonstrated a better correlation to CT scans (R = 0.58) compared with the Ashcroft scale (R = 0.33). In summary, quantification of lung fibrosis in histological lung sections using the modified scale is reliable and reproducible.
- Published
- 2008
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29. NT-proBNP is not elevated in patients with obstructive sleep apnoea.
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Hübner RH, El Mokhtari NE, Freitag S, Rausche T, Göder R, Tiroke A, Lins M, Simon R, and Bewig B
- Subjects
- Adult, Biomarkers blood, Female, Heart Diseases metabolism, Humans, Male, Middle Aged, Predictive Value of Tests, Regression Analysis, Sleep Apnea, Obstructive therapy, Heart Diseases complications, Natriuretic Peptide, Brain blood, Peptide Fragments blood, Polysomnography methods, Sleep Apnea, Obstructive blood
- Abstract
Background: N-terminal pro-brain natriuretic peptide (NT-ProBNP) has emerged as an important marker of cardiac stress and may reflect the severity of underlying cardiac dysfunction, which is thought to be associated with obstructive sleep apnoea syndrome (OSAS)., Methods: This study evaluated the plasma concentration of NT-ProBNP in 60 consecutive patients (median age 55.7 years, median body mass index (BMI) 31.8) who were referred to a sleep laboratory with a suspicion of OSAS. Each subject underwent measurement of morning NT-ProBNP plasma levels, polysomnography and echocardiography. Patients were treated with nasal continuous or bilevel positive airway pressure ventilation (nCPAP/BIPAP) or without mechanical respiratory support, depending on clinical symptoms and results of polysomnography. Three months after treatment of OSAS 28 of the patients were reassessed for re-evaluation of NT-ProBNP and polysomnography., Results: Low or high levels of NT-proBNP were not associated with AHI and other sleep related indices (p>0.3). There was no correlation between NT-proBNP and AHI or other sleep related indices. In multiple regression analysis, NT-proBNP was significantly correlated with left ventricular ejection fraction, creatinine clearance and the presence of systemic arterial hypertension but not with AHI., Conclusions: Our results show by a robust multiple regression analysis, that NT-pro BNP is not associated with OSAS and NT-pro BNP cannot be used as a sensitive marker for underlying cardiovascular abnormalities in patients with OSAS.
- Published
- 2008
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30. Fungal rDNA signatures in coronary atherosclerotic plaques.
- Author
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Ott SJ, El Mokhtari NE, Rehman A, Rosenstiel P, Hellmig S, Kühbacher T, Lins M, Simon R, and Schreiber S
- Subjects
- Atherectomy, Coronary Vessels microbiology, DNA, Ribosomal analysis, Electrophoresis, Polyacrylamide Gel methods, Fungi isolation & purification, Gene Library, Humans, In Situ Hybridization, In Situ Hybridization, Fluorescence, Mycoses microbiology, Coronary Artery Disease microbiology, DNA, Fungal analysis, Fungi classification, Fungi genetics, Mycoses complications, RNA, Ribosomal, 18S genetics
- Abstract
Bacterial DNA has been found in coronary plaques and it has therefore been concluded that bacteria may play a role as trigger factors in the chronic inflammatory process underlying coronary atherosclerosis. However, the microbial spectrum is complex and it is not known whether microorganisms other than bacteria are involved in coronary disease. Fungal 18S rDNA signatures were systematically investigated in atherosclerotic tissue obtained through catheter-based atherectomy of 38 patients and controls (unaffected coronary arteries) using clone libraries, denaturating gradient gel analysis (DGGE), in situ hybridization and fluorescence in situ hybridization (FISH). Fungal DNA was found in 35 of 38 (92.11%) coronary heart disease patients by either polymerase chain reaction (PCR) with universal primers or in situ hybridization analysis (n = 5), but not in any control sample. In a clone library with more than 350 sequenced clones from pooled patient DNA, an overall richness of 19 different fungal phylotypes could be observed. Fungal profiles of coronary heart disease patients obtained by DGGE analysis showed a median richness of fungal species of 5 (range from 2 to 9) with a high interindividual variability (mean similarity 18.83%). For the first time, the presence of fungal components in atherosclerotic plaques has been demonstrated. Coronary atheromatous plaques harbour diverse and variable fungal communities suggesting a polymicrobial contribution to the chronic inflammatory aetiology.
- Published
- 2007
- Full Text
- View/download PDF
31. Inotropic therapy for cardiac low output syndrome: comparison of hemodynamic effects of dopamine/dobutamine versus dopamine/dopexamine.
- Author
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El Mokhtari NE, Arlt A, Meissner A, and Lins M
- Subjects
- Aged, Cardiac Output, Low complications, Cardiac Output, Low physiopathology, Drug Therapy, Combination, Female, Heart drug effects, Hemodynamics drug effects, Humans, Male, Middle Aged, Myocardium metabolism, Oxygen Consumption drug effects, Retrospective Studies, Shock, Cardiogenic etiology, Shock, Cardiogenic physiopathology, Treatment Outcome, Cardiac Output, Low drug therapy, Cardiotonic Agents therapeutic use, Dobutamine therapeutic use, Dopamine analogs & derivatives, Dopamine therapeutic use, Shock, Cardiogenic drug therapy, Vasodilator Agents therapeutic use
- Abstract
Objective: To examine the effects of a therapy with dopexamine/dopamine in comparison with a regimen of dobutamine/dopamine on the outcome of patients with profound cardiogenic shock., Material and Methods: Twenty patients presenting with an acute cardiogenic shock assisted with mechanical ventilation, being refractory to a therapy with dopamine alone were analyzed. After persistence of low cardiac output syndrome (cardiac index <2.5 l/min/m2) was confirmed, patients were treated either with receiving dopexamine (2 microg/kg/min) (group 1) or dobutamine (6 microg/kg/min) (group 2) in combination with dopamine (6 microg/kg/min) for 24 hrs. Hemodynamic parameters, urine production and clinical outcome were measured at intervals throughout the study. The groups were similar with respect to demographics and risk factors and there were no significant differences in the supportive treatment and hemodynamics at baseline., Results: The dopexamine treated patients had lower myocardial oxygen consumption (9310 +/- 2243 mmHg O2/sec vs. 10621 +/- 2552 mmHg O2/sec) and lower mean arterial pressure (66 +/- 11 mmHg vs. 71 +/- 10 mmHg) after the 24 hrs treatment interval, but no one of the changes reached statistical significance. No differences were found between the two groups for other variables and the overall clinical outcome., Conclusion: The present study revealed that neither substance is superior in the treatment of cardiogenic shock, even if the effect on myocardial consumption and the reported beneficial effects on renal and splanchnic functions might favour the use of dopexamine under certain circumstances.
- Published
- 2007
32. Role of NOD2/CARD15 in coronary heart disease.
- Author
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El Mokhtari NE, Ott SJ, Nebel A, Schäfer A, Rosenstiel P, Förster M, Nothnagel M, Simon R, and Schreiber S
- Subjects
- Adult, Aged, Alleles, Case-Control Studies, Coronary Artery Disease genetics, Female, Fluorescent Antibody Technique, Gene Frequency, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Logistic Models, Male, Middle Aged, Mutation, Myocardial Infarction genetics, Polymorphism, Single Nucleotide, Coronary Disease genetics, Nod2 Signaling Adaptor Protein genetics
- Abstract
Background: Bacterial DNA has been repeatedly detected in atheromatous lesions of coronary heart disease (CHD) patients. Phylogenetic signatures in the atheroma lesions that are similar to those of bacterial biofilms on human barrier organs, including the respiratory or gastrointestinal tract, raise the question of a defective barrier function in CHD. NOD2 plays a major role in defense against bacterial invasion. Genetic variation in the CARD15 gene, which encodes NOD2, was previously shown to result in a barrier defect that causes chronic inflammatory disorders (e.g. Crohn disease). In the present study, we investigated the possible involvement of NOD2/CARD15 in the pathology of CHD by i) analyzing the local expression of NOD2 in atherectomy versus healthy tissue (n = 5 each) using histochemical immunofluorescence and ii) by testing the three major functional CARD15 variants (R702W, G908R and 1007fs) for association with early-onset CHD in 900 German patients and 632 healthy controls., Results: In atherectomy tissue of CHD patients, NOD2 was detected in inflammatory cells at the luminal sides of the lesions. However, the allele and genotype frequencies of the three major CARD15 polymorphisms did not differ between CHD patients and controls., Conclusion: The NOD2 up-regulation in atheroma lesions indicates an involvement of this protein in the pathology of CHD. Although NOD2 could be important in local immune response mechanisms, none of the analyzed CARD15 variants seem to play a significant role in the etiology of CHD.
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- 2007
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- View/download PDF
33. Signal transducer of inflammation gp130 modulates atherosclerosis in mice and man.
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Luchtefeld M, Schunkert H, Stoll M, Selle T, Lorier R, Grote K, Sagebiel C, Jagavelu K, Tietge UJ, Assmus U, Streetz K, Hengstenberg C, Fischer M, Mayer B, Maresso K, El Mokhtari NE, Schreiber S, Müller W, Bavendiek U, Grothusen C, Drexler H, Trautwein C, Broeckel U, and Schieffer B
- Subjects
- Animals, Aorta metabolism, Coronary Vessels metabolism, Cytokine Receptor gp130 metabolism, Genetic Predisposition to Disease, Hepatocytes metabolism, Humans, Inflammation, Macrophages metabolism, Mice, Mice, Inbred C57BL, Polymorphism, Genetic, Risk, Atherosclerosis metabolism, Cytokine Receptor gp130 physiology
- Abstract
Liver-derived acute phase proteins (APPs) emerged as powerful predictors of cardiovascular disease and cardiovascular events, but their functional role in atherosclerosis remains enigmatic. We report that the gp130 receptor, which is a key component of the inflammatory signaling pathway within hepatocytes, influences the risk of atherosclerosis in a hepatocyte-specific gp130 knockout. Mice on an atherosclerosis-prone genetic background exhibit less aortic atherosclerosis (P < 0.05) with decreased plaque macrophages (P < 0.01). Translating these findings into humans, we show that genetic variation within the human gp130 homologue, interleukin 6 signal transducer (IL6ST), is significantly associated with coronary artery disease (CAD; P < 0.05). We further show a significant association of atherosclerotic disease at the ostium of the coronary arteries (P < 0.005) as a clinically important and heritable subphenotype in a large sample of families with myocardial infarction (MI) and a second independent population-based cohort. Our results reveal a central role of a hepatocyte-specific, gp130-dependent acute phase reaction for plaque development in a murine model of atherosclerosis, and further implicate IL6ST as a genetic susceptibility factor for CAD and MI in humans. Thus, the acute phase reaction should be considered an important target for future drug development in the management of CAD.
- Published
- 2007
- Full Text
- View/download PDF
34. Common coding polymorphisms in the ABCA1 gene and risk of early-onset coronary heart disease in northern Germany.
- Author
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Nebel A, Croucher PJ, El Mokhtari NE, Flachsbart F, and Schreiber S
- Subjects
- ATP Binding Cassette Transporter 1, Female, Germany, Humans, Male, Middle Aged, Polymorphism, Genetic, Risk Factors, ATP-Binding Cassette Transporters genetics, Coronary Disease genetics
- Published
- 2007
- Full Text
- View/download PDF
35. Functional promoter polymorphism in the VKORC1 gene is no major genetic determinant for coronary heart disease in Northern Germans.
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Watzka M, Nebel A, El Mokhtari NE, Ivandic B, Müller J, Schreiber S, and Oldenburg J
- Subjects
- Adult, Case-Control Studies, Coronary Disease ethnology, Female, Gene Frequency, Genetic Predisposition to Disease, Genotype, Germany, Haplotypes, Humans, Male, Middle Aged, Risk Factors, Vitamin K Epoxide Reductases, Coronary Disease genetics, Mixed Function Oxygenases genetics, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, White People genetics
- Abstract
Recently, the C-allele of polymorphism rs2359612 (VKORC1: c.283+837C>T) in the VKORC1 gene has been reported to represent a major risk factor for coronary heart disease (CHD), stroke, and aortic dissection in Chinese patients. VKOR activity itself is the rate-limiting step in gamma-carboxylation of vitamin K-dependent coagulation factors (factors II, VII, IX, X, protein C, S, and Z) and proteins of calcium metabolism (matrix Gla protein and osteocalcin). Gamma-carboxylation is essential for the biological activity of these proteins that have been previously hypothesised to play a role in the pathogenesis of atherosclerosis. It was the objective of this study to analyse the VKORC1 genotype frequency in patients with CHD and controls from Northern Germany and to investigate the association of VKORC1 and CHD risk in patients with an European background. CHD patients (n = 901) and healthy controls (n = 521) were part of the PopGen biobank. Case and control samples were matched for ethnic and geographic origin, age and gender. After typing German CHD patients and control individuals, no evidence for a statistically significant association was detected between VKORC1 genotype and CHD phenotype. Also stratification for gender and myocardial infarction yielded no significant results. In conclusion, the discrepant association findings in Chinese and German populations may be explained by ethnic differences in genetic and perhaps environmental predisposition, modifying the polygenic CHD phenotype by interacting with VKORC1 variants and thus conferring disease susceptibility in some populations, but not in others.
- Published
- 2007
36. Allelic variation in the CNDP1 gene and its lack of association with longevity and coronary heart disease.
- Author
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Zschocke J, Nebel A, Wicks K, Peters V, El Mokhtari NE, Krawczak M, van der Woude F, Janssen B, and Schreiber S
- Subjects
- Aged, Aged, 80 and over, Amino Acid Sequence, Base Sequence, Female, Humans, Male, Middle Aged, Molecular Sequence Data, Alleles, Coronary Disease genetics, Dipeptidases genetics, Genetic Variation genetics, Longevity genetics
- Abstract
Carnosine, a cytoprotective dipeptide found at very high concentrations in skeletal muscle, heart and brain, is cleaved in blood by serum carnosinase which is encoded by the CNDP1 gene. We recently found that homozygosity of a 5-leucine variant in the leader peptide of this enzyme protects diabetes mellitus patients against nephropathy. Hypothesising that the same allele could also be associated with longevity or a reduced incidence of cardiovascular problems, we examined the frequency of CNDP1 alleles in German centenarians, patients with premature coronary heart disease, and matched controls. A total of 1382 individuals was investigated. The 5-leucine allele was the most common allele in all groups investigated. There was no difference in allele or genotype frequency between centenarians and their control group, or between cardiovascular patients and their control group. The recently identified functional carnosinase variant therefore does neither contribute to longevity nor protect against coronary heart disease in our probands. In addition to the known trinucleotide repeat alleles in the CNDP1 gene, we detected a rare 8-leucine allele, a rare duplication, p.L13_V15dup, and a more common frameshift deletion, L17fsX20. Homozygosity for L17fsX20, estimated to have a prevalence of approximately 1:20,000, would be expected to cause carnosinaemia, an autosomal recessive trait with uncertain clinical relevance.
- Published
- 2006
- Full Text
- View/download PDF
37. The FCGR2A--Arg131 variant is no major mortality factor in the elderly--evidence from a German centenarian study.
- Author
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Flesch BK, Nikolaus S, El Mokhtari NE, Schreiber S, and Nebel A
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Amino Acid Substitution, Genetic Predisposition to Disease, Germany, Haemophilus Infections genetics, Haemophilus Infections immunology, Haemophilus influenzae immunology, Humans, Middle Aged, Pneumonia, Bacterial genetics, Pneumonia, Bacterial immunology, Pneumonia, Pneumococcal genetics, Pneumonia, Pneumococcal immunology, Streptococcus pneumoniae immunology, Longevity genetics, Polymorphism, Single Nucleotide, Receptors, IgG genetics
- Abstract
The functional single nucleotide polymorphism rs1801274 in the FCGR2A gene (His131Arg) influences the efficiency of hIgG2 binding, the main isotype produced in response to encapsulated bacteria like Streptococcus pneumoniae and Haemophilus influenzae. In contrast to the receptor with the His131 allele, FcgammaRIIa-Arg131 binds hIgG2 poorly and carriers of this variant have been shown to be much more susceptible to succumb to bacterial pneumonia or meningitis. As bacteraemic pneumonia is one of the leading causes of death in elderly individuals, we hypothesized that the Arg131 variant could be a major mortality factor in the old. We analysed the FCGR2A-His131Arg polymorphism in a group of 408 German centenarians and two samples of younger Germans aged 60-75 and 18-49 years, respectively. No statistically significant differences were observed between the three age groups, neither at the allele nor at the genotype level. Apparently, the ability to reach old age is largely unaffected by the genetically determined efficacy of the FCGR2A-based immune response. However, the severely reduced ability of FCGR2A-131Arg carriers to eliminate encapsulated bacteria must apparently be compensated by an alternative mechanism, possibly involving other genetic survival factors.
- Published
- 2006
- Full Text
- View/download PDF
38. A functional variant in the CARD4 gene and risk of premature coronary heart disease.
- Author
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El Mokhtari NE, Ott SJ, Nebel A, Simon R, and Schreiber S
- Subjects
- Case-Control Studies, Female, Genetic Markers, Genetic Predisposition to Disease, Germany, Humans, Male, Middle Aged, Mutation, Nod1 Signaling Adaptor Protein, Adaptor Proteins, Signal Transducing genetics, Coronary Disease genetics, Polymorphism, Genetic
- Abstract
Infection and innate immunity have been suggested as playing an important role in the pathogenesis of atherosclerosis. The recently discovered pattern-recognition receptor (PRR) proteins initiate signalling after host-pathogen interactions and several PRRs, especially the Toll-like receptor 4 (TLR4), have been shown to be involved in the development and progression of atherosclerosis. A new addition to the PRRs is CARD4, a gene that encodes the protein nucleotide-binding oligomerization domain 1 (NOD1) and that seems to be associated with barrier function in chronic inflammatory disorders. Recently, a functional variant in the CARD4 gene, the insertion-deletion polymorphism ND(1)+32656, has been associated with inflammatory barrier diseases (inflammatory bowel diseases and asthma). We analysed the frequencies of this known functional mutation in the CARD4 gene and of the two adjacent variants, rs2075822 and rs2907748, in a German sample of 1440 unrelated early onset coronary heart disease (CHD) patients and healthy controls. Genotype and haplotype data showed no evidence for a significant association of these CARD4 variants with CHD. Our results suggest that the analysed CARD4 mutations do not play a major role in the aetiology of CHD.
- Published
- 2006
- Full Text
- View/download PDF
39. WOFIE stimulates regulatory T cells: a 2-year follow-up of renal transplant recipients.
- Author
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Dresske B, Haendschke F, Lenz P, Ungefroren H, Jenisch S, Exner B, El Mokhtari NE, Lu T, Zavazava N, and Faendrich F
- Subjects
- Adolescent, Adult, CD4 Antigens analysis, Drug Administration Schedule, Female, Flow Cytometry, Follow-Up Studies, Graft Rejection drug therapy, Graft Rejection immunology, Humans, Immune Tolerance drug effects, Immunosuppressive Agents therapeutic use, Kidney immunology, Kidney pathology, Kidney physiopathology, Male, Middle Aged, Pilot Projects, Prospective Studies, Receptors, Interleukin-2 analysis, T-Lymphocytes, Regulatory drug effects, Time Factors, Transplantation physiology, Transplantation Immunology, Transplantation Tolerance drug effects, Immune Tolerance immunology, Immunosuppressive Agents administration & dosage, Kidney Transplantation immunology, T-Lymphocytes, Regulatory immunology, Transplantation Tolerance immunology
- Abstract
Background: Initial interruption of immunosuppression for 72 hr was analyzed in renal transplant recipients according to Calne et al.'s "window of opportunity for immunologic engagement" (WOFIE) concept., Methods: This pilot study was designed as a randomized, open-label, prospective trial of 40 recipients (20 in the WOFIE group, 20 in the control group) of cadaveric kidney transplants who were followed up for 2 years. Immunosuppression comprised tacrolimus (trough levels 5-8 ng/mL), daclizumab (1 mg per kilogram of body weight on day 0 and after 2, 4, 6, and 8 weeks), mycophenolate mofetil (1-2 g/day), and prednisolone (maintenance dose of 10 mg/day). After induction with daclizumab, prednisolone, and mycophenolate mofetil, immunosuppression was interrupted for 72 hr in the WOFIE group. Steroid withdrawal followed in both groups within 12 to 16 weeks posttransplant., Results: Patient and graft survival did not differ significantly between the two cohorts. However, the WOFIE group experienced less acute rejection episodes and developed better graft function. Although all but one of the patients in the WOFIE group successfully discontinued steroid treatment, permanent steroid withdrawal was achieved in only 76.4% of the control group. After daclizumab discontinuation, the WOFIE group demonstrated an increase of CD4CD25 T cells in peripheral blood (P<0.05 vs. control group), which was stable over time and strongly correlated with a significantly higher expression level of Foxp3-mRNA., Conclusions: Initial interruption of immunosuppression for 72 hr correlates with the induction of regulatory immunologic mechanisms and allows early and reliable minimization of immunosuppressive treatment.
- Published
- 2006
- Full Text
- View/download PDF
40. Multipotent cells of monocytic origin improve damaged heart function.
- Author
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Dresske B, El Mokhtari NE, Ungefroren H, Ruhnke M, Plate V, Janssen D, Siebert R, Reinecke A, Simon R, and Fandrich F
- Subjects
- Animals, Capillaries pathology, Coronary Circulation, Disease Models, Animal, Echocardiography, Female, Hemodynamics, Male, Polymerase Chain Reaction, Rats, Rats, Inbred Lew, Vascular Endothelial Growth Factor A genetics, Y Chromosome, Heart Function Tests, Monocytes transplantation, Myocardial Infarction therapy, Stem Cell Transplantation, Ventricular Function, Left
- Abstract
Recently, we generated cells with multipotent properties from blood monocytes that in vitro differentiate into various somatic cell types. This experimental study investigated whether these programmable cells of monocytic origin (PCMO) succeed to restore left ventricular function after myocardial infarction (MI). PCMO were generated from monocytes by exposition to RPMI medium containing M-CSF and IL-3 for 6 days. MI was induced in female Lewis rats ligating the left coronary artery. PCMO of male Lewis donors were injected either intramyocardially (i.my.) or intravenously (i.v.) 24 h or 6 days post-infarction. Hemodynamic assessment after 60 days demonstrated significant improvement of left ventricular function following i.my. transplantation of PCMO as well as early (24 h post-infarction) i.v. application while nonmodulated monocytes failed to restore heart function. The Y-chromosome-specific SRY gene of male donor PCMO was detected exclusively in infarcted hearts of animals, which demonstrated improved cardiac function. Subdivision of infarcted hearts by microdissection localized the SRY gene-containing department to the left ventricle adjacent to the infarcted area whereas the right ventricle remained negative. Successful generation of PCMO in access numbers allows their autologous use as a new additive treatment for early restoration of cardiac function after MI.
- Published
- 2006
- Full Text
- View/download PDF
41. Persistent angina pectoris in a 17-year-old patient.
- Author
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Lins M, el Mokhtari NE, Fischer G, Boening A, and Simon R
- Subjects
- Adolescent, Aorta surgery, Female, Humans, Pulmonary Artery abnormalities, Angina Pectoris etiology, Coronary Vessel Anomalies surgery, Pulmonary Artery surgery
- Published
- 2006
- Full Text
- View/download PDF
42. The effect of coronary angioplasty on plasma NT-proBNP level in patients with and without arterial hypertension.
- Author
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Brzezinska U, El Mokhtari NE, Simon R, and Tykarski A
- Subjects
- Aged, Female, Humans, Male, Middle Aged, Stroke Volume, Ventricular Dysfunction, Left blood, Angioplasty, Balloon, Coronary adverse effects, Hypertension blood, Natriuretic Peptide, Brain blood, Peptide Fragments blood
- Abstract
Aims: The purpose of the study was to assess the effect of percutaneous transluminal coronary angioplasty (PTCA) on plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) level in hypertensive and normotensive subjects with and without systolic left ventricular dysfunction., Methods and Results: Forty patients affected by ischemic heart disease and submitted to PTCA were studied. The patients were divided into four groups: group I - 10 patients with essential arterial hypertension (HT) and normal left ventricular ejection fraction (EF); group II - 10 patients with HT and EF < 55%; group III - 10 patients without HT and with normal EF; group IV - 10 patients without HT and with EF < 55%. Blood samples were collected twice: 24 h before and after PTCA. The plasma NT-proBNP concentrations increased significantly in group I (368+/-103 pg/ml vs 488 +/- 182 pg/ml; p < 0.05), in group III (257 +/- 107 pg/ml vs 447 +/- 198 pg/ml; p < 0.05), and in group IV (419 +/- 99 pg/ml vs 826 +/- 432 pg/ml; p < 0.05) 24 h after PTCA. There were significant differences in the relative change in plasma NT-proBNP concentrations between groups I and II, and between groups III and IV., Conclusions: Successful coronary angioplasty results in a rise in plasma NT-proBNP concentration. The increase is less expressive in patients with systolic left ventricular dysfunction. The presence of hypertension does not affect NT-proBNP concentration after PTCA.
- Published
- 2006
- Full Text
- View/download PDF
43. PopGen: population-based recruitment of patients and controls for the analysis of complex genotype-phenotype relationships.
- Author
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Krawczak M, Nikolaus S, von Eberstein H, Croucher PJ, El Mokhtari NE, and Schreiber S
- Subjects
- Cardiovascular Diseases genetics, Cross-Sectional Studies, Environmental Illness genetics, Genotype, Germany, Humans, Mental Disorders genetics, Nervous System Diseases genetics, Phenotype, Prospective Studies, Research Design, Genetic Testing, Genetics, Population, Patient Selection
- Abstract
Objective: Patient samples used for mapping complex human disease genes are unlikely to be representative of the phenotype spectrum of the respective population as a whole. On the other hand, most ongoing prospective studies are probably too small for evaluating polygenic disease markers., Design: Precise estimates of population-specific genotypic risks can be obtained efficiently through the complete ascertainment of patients in a geographically confined area. The PopGen project uses the most northern part of Germany as a target region for such a pursuit., Results: PopGen currently pursues recruitment, sampling and processing activities in close collaboration with a multitude of clinical partners, covering cardiovascular, neuropsychiatric and environmental diseases., Conclusion: PopGen has successfully established itself as a large-scale genetic epidemiological project of international recognition., (Copyright (c) 2006 S. Karger AG, Basel.)
- Published
- 2006
- Full Text
- View/download PDF
44. Huge coronary collateral connection.
- Author
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Lins M, El Mokhtari NE, Reinecke A, Wieckhorst A, and Simon R
- Subjects
- Aged, Humans, Male, Radiography, Chest Pain diagnosis, Chest Pain etiology, Coronary Circulation, Coronary Vessel Anomalies complications, Coronary Vessel Anomalies diagnostic imaging
- Published
- 2005
- Full Text
- View/download PDF
45. Matrix metalloproteinase-9 in bronchiolitis obliterans syndrome after lung transplantation.
- Author
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Hübner RH, Meffert S, Mundt U, Böttcher H, Freitag S, El Mokhtari NE, Pufe T, Hirt S, Fölsch UR, and Bewig B
- Subjects
- Adult, Bronchoalveolar Lavage Fluid chemistry, Cell Count, Cohort Studies, Female, Humans, Male, Middle Aged, Neutrophils metabolism, Reference Values, Respiratory Function Tests, Retrospective Studies, Tissue Inhibitor of Metalloproteinase-1 metabolism, Bronchiolitis Obliterans enzymology, Bronchiolitis Obliterans etiology, Lung Transplantation adverse effects, Matrix Metalloproteinase 9 metabolism
- Abstract
Bronchiolitis obliterans syndrome (BOS) is a severe complication after lung transplantation (LTX). In a retrospective cohort study 12 stable healthy recipients (non-BOS) and eight patients with BOS were enrolled after LTX and matrix metalloproteinases (MMP)-9, TIMP-1 and cell characteristics in bronchoalveolar lavage (BAL) samples (n = 145) were analysed. BALs from patients with BOS were further divided according to whether they were obtained before (pre-BOS) or after manifestation of BOS (BOS group). The MMP-9/TIMP-1 ratio was significantly increased in the BOS group compared with non-BOS or pre-BOS; furthermore, the ratio was negatively correlated with forced expiratory volume in one second. In zymography, the active form of MMP-9 was detected predominantly in the BOS group. In addition, zymography showed the banding pattern of neutrophil-derived MMP-9, indicating that polymorphonuclear neutrophils (PMNs) were the main source of MMP-9. According to that, MMP-9 was significantly correlated with the number of PMN. In immunocytochemistry, MMP-9 was also associated predominantly with PMN. This is the first study to evaluate the expression of matrix metalloproteinase-9 and tissue inhibitors of metalloproteinases-1 over time during manifestation of a fibroproliferative lung disease in patients. It demonstrates development of bronchiolitis obliterans syndrome after lung transplantation is associated with an imbalance of matrix metalloproteinases-9/tissue inhibitors of metalloproteinase-1 ratio.
- Published
- 2005
- Full Text
- View/download PDF
46. [Increased epistaxis with progressive malaise. Arteriovenous malformation of the lung].
- Author
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Hübner RH, El Mokhtari NE, Krupski G, and Bewig B
- Subjects
- Adult, Arteriovenous Malformations therapy, Diagnosis, Differential, Embolization, Therapeutic, Humans, Male, Arteriovenous Malformations diagnostic imaging, Epistaxis etiology, Fatigue etiology, Lung blood supply, Tomography, X-Ray Computed
- Published
- 2004
- Full Text
- View/download PDF
47. WOFIE synergizes with calcineurin-inhibitor treatment and early steroid withdrawal in kidney transplantation.
- Author
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Dresske B, Zavazava N, Jenisch S, Exner B, Lenz P, El Mokhtari NE, Kremer B, and Faendrich F
- Subjects
- Acute Disease, Adult, Aged, Antibodies, Monoclonal administration & dosage, Antibodies, Monoclonal adverse effects, Antibodies, Monoclonal, Humanized, Daclizumab, Drug Administration Schedule, Female, Graft Rejection epidemiology, Graft Survival drug effects, Humans, Immunoglobulin G administration & dosage, Immunoglobulin G adverse effects, Immunosuppressive Agents adverse effects, Incidence, Kidney physiopathology, Male, Middle Aged, Survival Analysis, Tacrolimus administration & dosage, Tacrolimus adverse effects, Calcineurin Inhibitors, Glucocorticoids administration & dosage, Immunosuppressive Agents administration & dosage, Kidney Transplantation, Prednisolone administration & dosage
- Abstract
Background: According to the window of opportunity for immunologic engagement (WOFIE) concept, as designed by R. Calne, the authors prospectively analyzed the effect of a 72-hr immunosuppressive window on graft function in renal transplant recipients., Methods: Immunosuppressive therapy comprised tacrolimus (trough levels, 5-8 ng/mL after day 8 posttransplantation), daclizumab (1 mg/kg body weight at day 0 and 2, 4, 6, and 8 weeks posttransplantation), mycophenolate mofetil (MMF) (1-2 g/day), and prednisolone. All patients received an induction therapy including daclizumab, prednisolone, and MMF. WOFIE patients were stopped from immunosuppression for 72 hr posttransplant. Steroids were withdrawn in both groups 12 to 16 weeks after transplantation and dual therapy with MMF and low-dose tacrolimus ensued., Results: Thirty renal transplant recipients (16 in the WOFIE group and 14 in the control group) have been enrolled since May 2000. Patient and graft survival were 93.8% and 87.5%, respectively, in the WOFIE group and 100.0% and 92.9% in the control group, respectively. One patient in the WOFIE group died of cytomegalovirus infection with stable graft function. There were no grafts lost because of acute rejection or primary nonfunction in either group. Patients treated according to the WOFIE protocol revealed less acute rejection episodes during the time of observation (first biopsy-confirmed acute rejection rate 12.5% in the WOFIE group vs. 42.9% in the control cohort). Whereas 92.1% of the WOFIE patients were successfully discontinued from steroids, permanent steroid withdrawal was achieved in only 60% of the control cohort., Conclusions: Initial interruption of immunosuppression was associated with a decrease of acute graft rejections. Subsequently, the authors postulate a synergistic effect on the immunosuppressive efficiency of calcineurin inhibitors when combined with an initial drug-free window.
- Published
- 2003
- Full Text
- View/download PDF
48. Heterogeneity of noninvasive arrhythmic risk indicators in patients with ischemic cardiomyopathy.
- Author
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Min JY, Meissner A, Geldmacher H, Alexander H, El-Mokhtari NE, and Simon R
- Subjects
- Electrocardiography, Female, Heart Failure physiopathology, Heart Rate, Hemodynamics, Humans, Male, Middle Aged, Risk Factors, Stroke Volume, Ventricular Premature Complexes complications, Arrhythmias, Cardiac etiology, Heart Failure complications
- Abstract
Noninvasive electrocardiographic variables for arrhythmic risk stratification in chronic heart failure are of great clinical interest but remain highly controversial. This study analyzed repolarization dispersion, heart rate variability, ventricular ectopic activity, and hemodynamic parameters in 30 patients with ischemic heart failure and in 20 normal control subjects. The values for all parameters were distinctly separated between the failure and control group. Left ventricular ejection fraction had a strong relation to ventricular ectopic activity (r = .54), a weak association with repolarization dispersion (r = .29), and seemingly no parallels with heart rate variability (r = .12). However, no linear association could be detected between any of the arrhythmic risk indicators (r = .10-.22), whereas a number of linearly related angiographic-hemodynamic variables readily defined the mechanical risk profile. Thus, alterations of noninvasive arrhythmic risk indicators in heart failure are not uniform, which confounds approaches for a composite ECG risk score in individual patients.
- Published
- 1998
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