118 results on '"Trip MD"'
Search Results
2. Familial hypercholesterolemia in children
- Author
-
Rodenburg, J, Vissers, MN, Wiegman, A, Trip, MD, Bakker, HD, and Kastelein, John JP
- Published
- 2004
- Full Text
- View/download PDF
3. Long term statin treatment reduces lipoprotein(a) concentrations in heterozygous familial hypercholesterolaemia
- Author
-
van Wissen, S, Smilde, TJ, Trip, MD, de Boo, Th, Kastelein, JJP, and Stalenhoef, AFH
- Subjects
Statins -- Drug use -- Health aspects ,Cardiovascular diseases -- Risk factors ,Lipoprotein A -- Health aspects ,Atherosclerosis -- Risk factors ,Health ,Drug use ,Risk factors ,Health aspects - Abstract
Background: Raised plasma lipoprotein(a) (Lp(a)) is associated with increased risk of cardiovascular disease. It is unknown whether increased Lp(a) is an additional risk factor for coronary artery disease in familial [...]
- Published
- 2003
4. Quality control and conduct of genome-wide association meta-analyses
- Author
-
Winkler, T, Day, F, Croteau Chonka, D, Wood, A, Locke, A, Mägi, R, Ferreira, T, Fall, T, Graff, M, Justice, A, Luan, J, Gustafsson, S, Randall, J, Vedantam, S, Workalemahu, T, Kilpeläinen, T, Scherag, A, Esko, T, Kutalik, Z, Heid, I, Loos, R, Abecasis GR, Absher D, Alavere H, Albrecht E, Allen HL, Almgren P, Amin N, Amouyel P, Anderson D, Arnold AM, Arveiler D, Aspelund T, Asselbergs FW, Assimes TL, Atalay M, Attwood AP, Atwood LD, Bakker SJ, Balkau B, Balmforth AJ, Barlassina C, Barroso I, Basart H, Bauer S, Beckmann JS, Beilby JP, Bennett AJ, Ben Shlomo Y, Bergman RN, Bergmann S, Berndt SI, Biffar R, Di Blasio AM, Boehm BO, Boehnke M, Boeing H, Boerwinkle E, Bolton JL, Bonnefond A, Bonnycastle LL, Boomsma DI, Borecki IB, Bornstein SR, Bouatia Naji N, Boucher G, Bragg Gresham JL, BRAMBILLA, PAOLO, Bruinenberg M, Buchanan TA, Buechler C, Cadby G, Campbell H, Caulfield MJ, Cavalcanti Proença C, CESANA, GIANCARLO, Chanock SJ, Chasman DI, Chen YD, Chines PS, Clegg DJ, Coin L, Collins FS, Connell JM, Cookson W, Cooper MN, Croteau Chonka DC, Cupples LA, Cusi D, Day FR, Day IN, Dedoussis GV, Dei M, Deloukas P, Dermitzakis ET, Dimas AS, Dimitriou M, Dixon AL, Dörr M, van Duijn CM, Ebrahim S, Edkins S, Eiriksdottir G, Eisinger K, Eklund N, Elliott P, Erbel R, Erdmann J, Erdos MR, Eriksson JG, Esko T, Estrada K, Evans DM, de Faire U, Fall T, Farrall M, Feitosa MF, Ferrario MM, Ferreira T, Ferrières J, Fischer K, Fisher E, Fowkes G, Fox CS, Franke L, Franks PW, Fraser RM, Frau F, Frayling T, Freimer NB, Froguel P, Fu M, Gaget S, Ganna A, Gejman PV, Gentilini D, Geus EJ, Gieger C, Gigante B, Gjesing AP, Glazer NL, Goddard ME, Goel A, Grallert H, Gräßler J, Grönberg H, Groop LC, Groves CJ, Gudnason V, Guiducci C, Gustafsson S, Gyllensten U, Hall AS, Hall P, Hallmans G, Hamsten A, Hansen T, Haritunians T, Harris TB, van der Harst P, Hartikainen AL, Hassanali N, Hattersley AT, Havulinna AS, Hayward C, Heard Costa NL, Heath AC, Hebebrand J, Heid IM, den Heijer M, Hengstenberg C, Herzig KH, Hicks AA, Hingorani A, Hinney A, Hirschhorn JN, Hofman A, Holmes CC, Homuth G, Hottenga JJ, Hovingh KG, Hu FB, Hu YJ, Huffman JE, Hui J, Huikuri H, Humphries SE, Hung J, Hunt SE, Hunter D, Hveem K, Hyppönen E, Igl W, Illig T, Ingelsson E, Iribarren C, Isomaa B, Jackson AU, Jacobs KB, James AL, Jansson JO, Jarick I, Jarvelin MR, Jöckel KH, Johansson Å, Johnson T, Jolley J, Jørgensen T, Jousilahti P, Jula A, Justice AE, Kaakinen M, Kähönen M, Kajantie E, Kanoni S, Kao WH, Kaplan LM, Kaplan RC, Kaprio J, Kapur K, Karpe F, Kathiresan S, Kee F, Keinanen Kiukaanniemi SM, Ketkar S, Kettunen J, Khaw KT, Kiemeney LA, Kilpeläinen TO, Kinnunen L, Kivimaki M, Kivmaki M, Van der Klauw MM, Kleber ME, Knowles JW, Koenig W, Kolcic I, Kolovou G, König IR, Koskinen S, Kovacs P, Kraft P, Kraja AT, Kristiansson K, KrjutÅjkov K, Kroemer HK, Krohn JP, Krzelj V, Kuh D, Kulzer JR, Kumari M, Kutalik Z, Kuulasmaa K, Kuusisto J, Kvaloy K, Laakso M, Laitinen JH, Lakka TA, Lamina C, Langenberg C, Lantieri O, Lathrop GM, Launer LJ, Lawlor DA, Lawrence RW, Leach IM, Lecoeur C, Lee SH, Lehtimäki T, Leitzmann MF, Lettre G, Levinson DF, Li G, Li S, Liang L, Lin DY, Lind L, Lindgren CM, Lindström J, Liu J, Liuzzi A, Locke AE, Lokki ML, Loley C, Loos RJ, Lorentzon M, Luan J, Luben RN, Ludwig B, Madden PA, Mägi R, Magnusson PK, Mangino M, Manunta P, Marek D, Marre M, Martin NG, März W, Maschio A, Mathieson I, McArdle WL, McCaroll SA, McCarthy A, McCarthy MI, McKnight B, Medina Gomez C, Medland SE, Meitinger T, Metspalu A, van Meurs JB, Meyre D, Midthjell K, Mihailov E, Milani L, Min JL, Moebus S, Moffatt MF, Mohlke KL, Molony C, Monda KL, Montgomery GW, Mooser V, Morken MA, Morris AD, Morris AP, Mühleisen TW, Müller Nurasyid M, Munroe PB, Musk AW, Narisu N, Navis G, Neale BM, Nelis M, Nemesh J, Neville MJ, Ngwa JS, Nicholson G, Nieminen MS, Njølstad I, Nohr EA, Nolte IM, North KE, Nöthen MM, Nyholt DR, O'Connell JR, Ohlsson C, Oldehinkel AJ, van Ommen GJ, Ong KK, Oostra BA, Ouwehand WH, Palmer CN, Palmer LJ, Palotie A, Paré G, Parker AN, Paternoster L, Pawitan Y, Pechlivanis S, Peden JF, Pedersen NL, Pedersen O, Pellikka N, Peltonen L, Penninx B, Perola M, Perry JR, Person T, Peters A, Peters MJ, Pichler I, Pietiläinen KH, Platou CG, Polasek O, Pouta A, Power C, Pramstaller PP, Preuss M, Price JF, Prokopenko I, Province MA, Psaty BM, Purcell S, Pütter C, Qi L, Quertermous T, Radhakrishnan A, Raitakari O, Randall JC, Rauramaa R, Rayner NW, Rehnberg E, Rendon A, Ridderstråle M, Ridker PM, Ripatti S, Rissanen A, Rivadeneira F, Rivolta C, Robertson NR, Rose LM, Rudan I, Saaristo TE, Sager H, Salomaa V, Samani NJ, Sambrook JG, Sanders AR, Sandholt C, Sanna S, Saramies J, Schadt EE, Scherag A, Schipf S, Schlessinger D, Schreiber S, Schunkert H, Schwarz PE, Scott LJ, Shi J, Shin SY, Shuldiner AR, Shungin D, Signorini S, Silander K, Sinisalo J, Skrobek B, Smit JH, Smith AV, Smith GD, Snieder H, Soranzo N, Sørensen TI, Sovio U, Spector TD, Speliotes EK, Stančáková A, Stark K, Stefansson K, Steinthorsdottir V, Stephens JC, Stirrups K, Stolk RP, Strachan DP, Strawbridge RJ, Stringham HM, Stumvoll M, Surakka I, Swift AJ, Syvanen AC, Tammesoo ML, Teder Laving M, Teslovich TM, Teumer A, Theodoraki EV, Thomson B, Thorand B, Thorleifsson G, Thorsteinsdottir U, Timpson NJ, Tönjes A, Tregouet DA, Tremoli E, Trip MD, Tuomi T, Tuomilehto J, Tyrer J, Uda M, Uitterlinden AG, Usala G, Uusitupa M, Valle TT, Vandenput L, Vatin V, Vedantam S, de Vegt F, Vermeulen SH, Viikari J, Virtamo J, Visscher PM, Vitart V, Van Vliet Ostaptchouk JV, Voight BF, Vollenweider P, Volpato CB, Völzke H, Waeber G, Waite LL, Wallaschofski H, Walters GB, Wang Z, Wareham NJ, Watanabe RM, Watkins H, Weedon MN, Welch R, Weyant RJ, Wheeler E, White CC, Wichmann HE, Widen E, Wild SH, Willemsen G, Willer CJ, Wilsgaard T, Wilson JF, van Wingerden S, Winkelmann BR, Winkler TW, Witte DR, Witteman JC, Wolffenbuttel BH, Wong A, Wood AR, Workalemahu T, Wright AF, Yang J, Yarnell JW, Zgaga L, Zhao JH, Zillikens MC, Zitting P, Zondervan KT, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Winkler, T, Day, F, Croteau Chonka, D, Wood, A, Locke, A, Mägi, R, Ferreira, T, Fall, T, Graff, M, Justice, A, Luan, J, Gustafsson, S, Randall, J, Vedantam, S, Workalemahu, T, Kilpeläinen, T, Scherag, A, Esko, T, Kutalik, Z, Heid, I, Loos, R, Abecasis, G, Absher, D, Alavere, H, Albrecht, E, Allen, H, Almgren, P, Amin, N, Amouyel, P, Anderson, D, Arnold, A, Arveiler, D, Aspelund, T, Asselbergs, F, Assimes, T, Atalay, M, Attwood, A, Atwood, L, Bakker, S, Balkau, B, Balmforth, A, Barlassina, C, Barroso, I, Basart, H, Bauer, S, Beckmann, J, Beilby, J, Bennett, A, Ben Shlomo, Y, Bergman, R, Bergmann, S, Berndt, S, Biffar, R, Di Blasio, A, Boehm, B, Boehnke, M, Boeing, H, Boerwinkle, E, Bolton, J, Bonnefond, A, Bonnycastle, L, Boomsma, D, Borecki, I, Bornstein, S, Bouatia Naji, N, Boucher, G, Bragg Gresham, J, Brambilla, P, Bruinenberg, M, Buchanan, T, Buechler, C, Cadby, G, Campbell, H, Caulfield, M, Cavalcanti Proença, C, Cesana, G, Chanock, S, Chasman, D, Chen, Y, Chines, P, Clegg, D, Coin, L, Collins, F, Connell, J, Cookson, W, Cooper, M, Cupples, L, Cusi, D, Day, I, Dedoussis, G, Dei, M, Deloukas, P, Dermitzakis, E, Dimas, A, Dimitriou, M, Dixon, A, Dörr, M, van Duijn, C, Ebrahim, S, Edkins, S, Eiriksdottir, G, Eisinger, K, Eklund, N, Elliott, P, Erbel, R, Erdmann, J, Erdos, M, Eriksson, J, Estrada, K, Evans, D, de Faire, U, Farrall, M, Feitosa, M, Ferrario, M, Ferrières, J, Fischer, K, Fisher, E, Fowkes, G, Fox, C, Franke, L, Franks, P, Fraser, R, Frau, F, Frayling, T, Freimer, N, Froguel, P, Fu, M, Gaget, S, Ganna, A, Gejman, P, Gentilini, D, Geus, E, Gieger, C, Gigante, B, Gjesing, A, Glazer, N, Goddard, M, Goel, A, Grallert, H, Gräßler, J, Grönberg, H, Groop, L, Groves, C, Gudnason, V, Guiducci, C, Gyllensten, U, Hall, A, Hall, P, Hallmans, G, Hamsten, A, Hansen, T, Haritunians, T, Harris, T, van der Harst, P, Hartikainen, A, Hassanali, N, Hattersley, A, Havulinna, A, Hayward, C, Heard Costa, N, Heath, A, Hebebrand, J, den Heijer, M, Hengstenberg, C, Herzig, K, Hicks, A, Hingorani, A, Hinney, A, Hirschhorn, J, Hofman, A, Holmes, C, Homuth, G, Hottenga, J, Hovingh, K, Hu, F, Hu, Y, Huffman, J, Hui, J, Huikuri, H, Humphries, S, Hung, J, Hunt, S, Hunter, D, Hveem, K, Hyppönen, E, Igl, W, Illig, T, Ingelsson, E, Iribarren, C, Isomaa, B, Jackson, A, Jacobs, K, James, A, Jansson, J, Jarick, I, Jarvelin, M, Jöckel, K, Johansson, Å, Johnson, T, Jolley, J, Jørgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kähönen, M, Kajantie, E, Kanoni, S, Kao, W, Kaplan, L, Kaplan, R, Kaprio, J, Kapur, K, Karpe, F, Kathiresan, S, Kee, F, Keinanen Kiukaanniemi, S, Ketkar, S, Kettunen, J, Khaw, K, Kiemeney, L, Kinnunen, L, Kivimaki, M, Kivmaki, M, Van der Klauw, M, Kleber, M, Knowles, J, Koenig, W, Kolcic, I, Kolovou, G, König, I, Koskinen, S, Kovacs, P, Kraft, P, Kraja, A, Kristiansson, K, Krjutåjkov, K, Kroemer, H, Krohn, J, Krzelj, V, Kuh, D, Kulzer, J, Kumari, M, Kuulasmaa, K, Kuusisto, J, Kvaloy, K, Laakso, M, Laitinen, J, Lakka, T, Lamina, C, Langenberg, C, Lantieri, O, Lathrop, G, Launer, L, Lawlor, D, Lawrence, R, Leach, I, Lecoeur, C, Lee, S, Lehtimäki, T, Leitzmann, M, Lettre, G, Levinson, D, Li, G, Li, S, Liang, L, Lin, D, Lind, L, Lindgren, C, Lindström, J, Liu, J, Liuzzi, A, Lokki, M, Loley, C, Lorentzon, M, Luben, R, Ludwig, B, Madden, P, Magnusson, P, Mangino, M, Manunta, P, Marek, D, Marre, M, Martin, N, März, W, Maschio, A, Mathieson, I, Mcardle, W, Mccaroll, S, Mccarthy, A, Mccarthy, M, Mcknight, B, Medina Gomez, C, Medland, S, Meitinger, T, Metspalu, A, van Meurs, J, Meyre, D, Midthjell, K, Mihailov, E, Milani, L, Min, J, Moebus, S, Moffatt, M, Mohlke, K, Molony, C, Monda, K, Montgomery, G, Mooser, V, Morken, M, Morris, A, Mühleisen, T, Müller Nurasyid, M, Munroe, P, Musk, A, Narisu, N, Navis, G, Neale, B, Nelis, M, Nemesh, J, Neville, M, Ngwa, J, Nicholson, G, Nieminen, M, Njølstad, I, Nohr, E, Nolte, I, North, K, Nöthen, M, Nyholt, D, O'Connell, J, Ohlsson, C, Oldehinkel, A, van Ommen, G, Ong, K, Oostra, B, Ouwehand, W, Palmer, C, Palmer, L, Palotie, A, Paré, G, Parker, A, Paternoster, L, Pawitan, Y, Pechlivanis, S, Peden, J, Pedersen, N, Pedersen, O, Pellikka, N, Peltonen, L, Penninx, B, Perola, M, Perry, J, Person, T, Peters, A, Peters, M, Pichler, I, Pietiläinen, K, Platou, C, Polasek, O, Pouta, A, Power, C, Pramstaller, P, Preuss, M, Price, J, Prokopenko, I, Province, M, Psaty, B, Purcell, S, Pütter, C, Qi, L, Quertermous, T, Radhakrishnan, A, Raitakari, O, Rauramaa, R, Rayner, N, Rehnberg, E, Rendon, A, Ridderstråle, M, Ridker, P, Ripatti, S, Rissanen, A, Rivadeneira, F, Rivolta, C, Robertson, N, Rose, L, Rudan, I, Saaristo, T, Sager, H, Salomaa, V, Samani, N, Sambrook, J, Sanders, A, Sandholt, C, Sanna, S, Saramies, J, Schadt, E, Schipf, S, Schlessinger, D, Schreiber, S, Schunkert, H, Schwarz, P, Scott, L, Shi, J, Shin, S, Shuldiner, A, Shungin, D, Signorini, S, Silander, K, Sinisalo, J, Skrobek, B, Smit, J, Smith, A, Smith, G, Snieder, H, Soranzo, N, Sørensen, T, Sovio, U, Spector, T, Speliotes, E, Stančáková, A, Stark, K, Stefansson, K, Steinthorsdottir, V, Stephens, J, Stirrups, K, Stolk, R, Strachan, D, Strawbridge, R, Stringham, H, Stumvoll, M, Surakka, I, Swift, A, Syvanen, A, Tammesoo, M, Teder Laving, M, Teslovich, T, Teumer, A, Theodoraki, E, Thomson, B, Thorand, B, Thorleifsson, G, Thorsteinsdottir, U, Timpson, N, Tönjes, A, Tregouet, D, Tremoli, E, Trip, M, Tuomi, T, Tuomilehto, J, Tyrer, J, Uda, M, Uitterlinden, A, Usala, G, Uusitupa, M, Valle, T, Vandenput, L, Vatin, V, de Vegt, F, Vermeulen, S, Viikari, J, Virtamo, J, Visscher, P, Vitart, V, Van Vliet Ostaptchouk, J, Voight, B, Vollenweider, P, Volpato, C, Völzke, H, Waeber, G, Waite, L, Wallaschofski, H, Walters, G, Wang, Z, Wareham, N, Watanabe, R, Watkins, H, Weedon, M, Welch, R, Weyant, R, Wheeler, E, White, C, Wichmann, H, Widen, E, Wild, S, Willemsen, G, Willer, C, Wilsgaard, T, Wilson, J, van Wingerden, S, Winkelmann, B, Witte, D, Witteman, J, Wolffenbuttel, B, Wong, A, Wright, A, Yang, J, Yarnell, J, Zgaga, L, Zhao, J, Zillikens, M, Zitting, P, Zondervan, K, Psychiatry, EMGO - Mental health, Plastic, Reconstructive and Hand Surgery, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Cardiology, Biological Psychology, EMGO+ - Mental Health, Genetic Investigation of Anthropometric Traits (GIANT) Consortium, Abecasis, GR., Absher, D., Alavere, H., Albrecht, E., Allen, HL., Almgren, P., Amin, N., Amouyel, P., Anderson, D., Arnold, AM., Arveiler, D., Aspelund, T., Asselbergs, FW., Assimes, TL., Atalay, M., Attwood, AP., Atwood, LD., Bakker, SJ., Balkau, B., Balmforth, AJ., Barlassina, C., Barroso£££Inês£££ I., Basart, H., Bauer, S., Beckmann, JS., Beilby, JP., Bennett, AJ., Ben-Shlomo, Y., Bergman, RN., Bergmann, S., Berndt, SI., Biffar, R., Di Blasio AM., Boehm, BO., Boehnke, M., Boeing, H., Boerwinkle, E., Bolton, JL., Bonnefond, A., Bonnycastle, LL., Boomsma, DI., Borecki, IB., Bornstein, SR., Bouatia-Naji, N., Boucher, G., Bragg-Gresham, JL., Brambilla, P., Bruinenberg, M., Buchanan, TA., Buechler, C., Cadby, G., Campbell, H., Caulfield, MJ., Cavalcanti-Proença, C., Cesana, G., Chanock, SJ., Chasman, DI., Chen, YD., Chines, PS., Clegg, DJ., Coin, L., Collins, FS., Connell, JM., Cookson, W., Cooper, MN., Croteau-Chonka, DC., Cupples, LA., Cusi, D., Day, FR., Day, IN., Dedoussis, GV., Dei, M., Deloukas, P., Dermitzakis, ET., Dimas, AS., Dimitriou, M., Dixon, AL., Dörr, M., van Duijn CM., Ebrahim, S., Edkins, S., Eiriksdottir, G., Eisinger, K., Eklund, N., Elliott, P., Erbel, R., Erdmann, J., Erdos, MR., Eriksson, JG., Esko£££Tõnu£££ T., Estrada, K., Evans, DM., de Faire, U., Fall, T., Farrall, M., Feitosa, MF., Ferrario, MM., Ferreira, T., Ferrières, J., Fischer, K., Fisher, E., Fowkes, G., Fox, CS., Franke, L., Franks, PW., Fraser, RM., Frau, F., Frayling, T., Freimer, NB., Froguel, P., Fu, M., Gaget, S., Ganna, A., Gejman, PV., Gentilini, D., Geus, EJ., Gieger, C., Gigante, B., Gjesing, AP., Glazer, NL., Goddard, ME., Goel, A., Grallert, H., Gräßler, J., Grönberg, H., Groop, LC., Groves, CJ., Gudnason, V., Guiducci, C., Gustafsson, S., Gyllensten, U., Hall, AS., Hall, P., Hallmans, G., Hamsten, A., Hansen, T., Haritunians, T., Harris, TB., van der Harst, P., Hartikainen, AL., Hassanali, N., Hattersley, AT., Havulinna, AS., Hayward, C., Heard-Costa, NL., Heath, AC., Hebebrand, J., Heid, IM., den Heijer, M., Hengstenberg, C., Herzig, KH., Hicks, AA., Hingorani, A., Hinney, A., Hirschhorn, JN., Hofman, A., Holmes, CC., Homuth, G., Hottenga, JJ., Hovingh, KG., Hu, FB., Hu, YJ., Huffman, JE., Hui, J., Huikuri, H., Humphries, SE., Hung, J., Hunt, SE., Hunter, D., Hveem, K., Hyppönen, E., Igl, W., Illig, T., Ingelsson, E., Iribarren, C., Isomaa, B., Jackson, AU., Jacobs, KB., James, AL., Jansson, JO., Jarick, I., Jarvelin, MR., Jöckel, KH., Johansson£££Åsa£££ Å., Johnson, T., Jolley, J., Jørgensen, T., Jousilahti, P., Jula, A., Justice, AE., Kaakinen, M., Kähönen, M., Kajantie, E., Kanoni, S., Kao, WH., Kaplan, LM., Kaplan, RC., Kaprio, J., Kapur, K., Karpe, F., Kathiresan, S., Kee, F., Keinanen-Kiukaanniemi, SM., Ketkar, S., Kettunen, J., Khaw, KT., Kiemeney, LA., Kilpeläinen, TO., Kinnunen, L., Kivimaki, M., Kivmaki, M., Van der Klauw MM., Kleber, ME., Knowles, JW., Koenig, W., Kolcic, I., Kolovou, G., König, IR., Koskinen, S., Kovacs, P., Kraft, P., Kraja, AT., Kristiansson, K., KrjutÅjkov, K., Kroemer, HK., Krohn, JP., Krzelj, V., Kuh, D., Kulzer, JR., Kumari, M., Kutalik£££Zoltán£££ Z., Kuulasmaa, K., Kuusisto, J., Kvaloy, K., Laakso, M., Laitinen, JH., Lakka, TA., Lamina, C., Langenberg, C., Lantieri, O., Lathrop, GM., Launer, LJ., Lawlor, DA., Lawrence, RW., Leach, IM., Lecoeur, C., Lee, SH., Lehtimäki, T., Leitzmann, MF., Lettre, G., Levinson, DF., Li, G., Li, S., Liang, L., Lin, DY., Lind, L., Lindgren, CM., Lindström, J., Liu, J., Liuzzi, A., Locke, AE., Lokki, ML., Loley, C., Loos, RJ., Lorentzon, M., Luan£££Jian'an£££ J., Luben, RN., Ludwig, B., Madden, PA., Mägi, R., Magnusson, PK., Mangino, M., Manunta, P., Marek, D., Marre, M., Martin, NG., März, W., Maschio, A., Mathieson, I., McArdle, WL., McCaroll, SA., McCarthy, A., McCarthy, MI., McKnight, B., Medina-Gomez, C., Medland, SE., Meitinger, T., Metspalu, A., van Meurs JB., Meyre, D., Midthjell, K., Mihailov, E., Milani, L., Min, JL., Moebus, S., Moffatt, MF., Mohlke, KL., Molony, C., Monda, KL., Montgomery, GW., Mooser, V., Morken, MA., Morris, AD., Morris, AP., Mühleisen, TW., Müller-Nurasyid, M., Munroe, PB., Musk, AW., Narisu, N., Navis, G., Neale, BM., Nelis, M., Nemesh, J., Neville, MJ., Ngwa, JS., Nicholson, G., Nieminen, MS., Njølstad, I., Nohr, EA., Nolte, IM., North, KE., Nöthen, MM., Nyholt, DR., O'Connell, JR., Ohlsson, C., Oldehinkel, AJ., van Ommen GJ., Ong, KK., Oostra, BA., Ouwehand, WH., Palmer, CN., Palmer, LJ., Palotie, A., Paré, G., Parker, AN., Paternoster, L., Pawitan, Y., Pechlivanis, S., Peden, JF., Pedersen, NL., Pedersen, O., Pellikka, N., Peltonen, L., Penninx, B., Perola, M., Perry, JR., Person, T., Peters, A., Peters, MJ., Pichler, I., Pietiläinen, KH., Platou, CG., Polasek, O., Pouta, A., Power, C., Pramstaller, PP., Preuss, M., Price, JF., Prokopenko, I., Province, MA., Psaty, BM., Purcell, S., Pütter, C., Qi, L., Quertermous, T., Radhakrishnan, A., Raitakari, O., Randall, JC., Rauramaa, R., Rayner, NW., Rehnberg, E., Rendon, A., Ridderstråle, M., Ridker, PM., Ripatti, S., Rissanen, A., Rivadeneira, F., Rivolta, C., Robertson, NR., Rose, LM., Rudan, I., Saaristo, TE., Sager, H., Salomaa, V., Samani, NJ., Sambrook, JG., Sanders, AR., Sandholt, C., Sanna, S., Saramies, J., Schadt, EE., Scherag, A., Schipf, S., Schlessinger, D., Schreiber, S., Schunkert, H., Schwarz, PE., Scott, LJ., Shi, J., Shin, SY., Shuldiner, AR., Shungin, D., Signorini, S., Silander, K., Sinisalo, J., Skrobek, B., Smit, JH., Smith, AV., Smith, GD., Snieder, H., Soranzo, N., Sørensen, TI., Sovio, U., Spector, TD., Speliotes, EK., Stančáková, A., Stark, K., Stefansson, K., Steinthorsdottir, V., Stephens, JC., Stirrups, K., Stolk, RP., Strachan, DP., Strawbridge, RJ., Stringham, HM., Stumvoll, M., Surakka, I., Swift, AJ., Syvanen, AC., Tammesoo, ML., Teder-Laving, M., Teslovich, TM., Teumer, A., Theodoraki, EV., Thomson, B., Thorand, B., Thorleifsson, G., Thorsteinsdottir, U., Timpson, NJ., Tönjes, A., Tregouet, DA., Tremoli, E., Trip, MD., Tuomi, T., Tuomilehto, J., Tyrer, J., Uda, M., Uitterlinden, AG., Usala, G., Uusitupa, M., Valle, TT., Vandenput, L., Vatin, V., Vedantam, S., de Vegt, F., Vermeulen, SH., Viikari, J., Virtamo, J., Visscher, PM., Vitart, V., Van Vliet-Ostaptchouk JV., Voight, BF., Vollenweider, P., Volpato, CB., Völzke, H., Waeber, G., Waite, LL., Wallaschofski, H., Walters, GB., Wang, Z., Wareham, NJ., Watanabe, RM., Watkins, H., Weedon, MN., Welch, R., Weyant, RJ., Wheeler, E., White, CC., Wichmann, HE., Widen, E., Wild, SH., Willemsen, G., Willer, CJ., Wilsgaard, T., Wilson, JF., van Wingerden, S., Winkelmann, BR., Winkler, TW., Witte, DR., Witteman, JC., Wolffenbuttel, BH., Wong, A., Wood, AR., Workalemahu, T., Wright, AF., Yang, J., Yarnell, JW., Zgaga, L., Zhao, JH., Zillikens, MC., Zitting, P., and Zondervan, KT.
- Subjects
Quality Control ,Netherlands Twin Register (NTR) ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,media_common.quotation_subject ,quality control, GWAMAS ,Control (management) ,Medizin ,Genome-wide association study ,Biology ,Bioinformatics ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Software ,SDG 17 - Partnerships for the Goals ,Meta-Analysis as Topic ,Comparable size ,Quality (business) ,030304 developmental biology ,media_common ,Protocol (science) ,0303 health sciences ,business.industry ,Software package ,Data science ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Genome-Wide Association Study/methods ,Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5] ,quality control ,genome-wide association meta-analyses ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Item does not contain fulltext Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC at the study file level, the meta-level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for the use of a powerful and flexible software package called EasyQC. Precise timings will be greatly influenced by consortium size. For consortia of comparable size to the GIANT Consortium, this protocol takes a minimum of about 10 months to complete.
- Published
- 2014
- Full Text
- View/download PDF
5. Effect of aggressive versus conventional lipid lowering on atherosclerosis progression in familial hypercholesterolemia (ASAP): a prospective, randomised, double-blind trial
- Author
-
Smilde, TJ, van Wissen, S, Awollersheim, H, Trip, MD, Kastelein, JJP, and Stalenhoef, AFH
- Published
- 2001
- Full Text
- View/download PDF
6. Large-scale gene-centric analysis identifies novel variants for coronary artery disease
- Author
-
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)
- Subjects
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
7. Varespladib and cardiovascular events in patients with an acute coronary syndrome: the VISTA-16 randomized clinical trial
- Author
-
Nicholls, Stephen J., Kastelein, John J. P., Schwartz, Gregory G., Bash, Dianna, Rosenson, Robert S., Cavender, Matthew A., Brennan, Danielle M., Koenig, Wolfgang, Jukema, J. Wouter, Nambi, Vijay, Wright, R. Scott, Menon, Venu, Lincoff, A. Michael, Nissen, Hennekens C, Steven E., Brown, Wv, Demets, D, Pfeffer, M, Roleau, J, Abraham, J, Gebel, J, Huff, C, Katzan, I, Shishehbor, M, Rassi, A, Uchino, K, Vest, A, Zishiri, E, Heckman, Mj, Balog, C, Dart, A, Amerena, J, Prasad, C, Farshid, A, Gunalingam, B, Thompson, P, Collins, N, Arstall, M, van Gaal, W, Aroney, C, Mahar, L, Youssef, G, Horowitz, J, Anand, D, Rodes-Cabau, J, Polasek, P, Lai, C, Huynh, T, Hubacek, J, Kokis, A, Paradis, Jm, Mukherjee, A, Senaratne, M, Constance, C, Gosselin, G, Lavi, S, Parker, J, Zadra, R, Abramson, B, Della-Siega, A, Spinar, J, Pudil, R, Motovska, Z, Maly, M, Hutyra, M, Pleva, L, Mayer, O, Semenka, J, Klimovic, T, Horak, D, Cervinka, P, Klimsa, Z, Hulinsky, V, Reichert, P, Monhart, Z, Rotterova, H, Kobulia, B, Shaburishvili, T, Mamatsashvili, M, Chapidze, G, Chumburidze, V, Megreladze, I, Khintibidze, I, Leithäuser, B, Voehringer, Hf, Wachter, R, Nogai, K, Lapp, H, Haltern, G, Gielen, S, Dorsel, T, Möllmann, H, Stellbrink, C, Hengstenberg, C, Dengler, T, Heuer, H, Kreuzer, J, Leschke, M, Mudra, H, Werner, N, Braun-Dullaeus, R, Rosenberg, M, Frey, N, Koenig, W, Strasser, R, Genth-Zotz, S, Kiss, R, Nagy, A, Kovacs, Z, Csapo, K, Edes, I, Sereg, M, Vertes, A, Ronaszeki, A, Kancz, S, Benczur, B, Polgar, P, Muller, G, Simonyi, G, Dezsi, C, Merkely, B, Dinnyes, J, Lupkovics, G, Kahali, D, Banker, D, Trivedi, S, Rajput, R, Premchand, R, Dani, S, Vadaganelli, P, Gupta, S, Chandra, S, Fulwani, M, Chawla, K, Parikh, K, Prati, F, Speciale, G, Valgimigli, M, Suriano, P, Sangiorgi, G, Fineschi, M, Merenda, R, Marenzi, G, Berti, S, Corrada, E, Cuccia, C, Testa, R, Moretti, L, Mennuni, M, Biasucci, Lm, Lioy, E, Auguadro, C, Magagnini, E, Fedele, F, Piscione, F, Azar, R, Trip, Md, Liem, A, den Hartoog, M, Lenderink, T, van de Wetering ML, Lok, D, Oei, F, Tans, Jg, Ilmer, B, Keijzers, M, Monraats, P, Kedhi, E, Breedveld, Rw, Herrman, J, van Wijk, L, Ronner, E, Nierop, P, Bosschaert, M, Hermans, W, Doevendans, P, Troquay, R, van der Heijden, R, Veen, G, Bokern, Mj, Bronzwaer, Pn, Kie, Sh, Den Hartog, F, Elliott, J, Wilkins, G, Hart, H, Devlin, G, Harding, S, Ponikowski, P, Madej, A, Kochmanski, M, Witkowski, A, Pluta, W, Bronisz, M, Kornacewicz-Jach, Z, Wysokinski, A, Ujda, M, Drozdz, J, Derlaga, B, Gessek, J, Dabrowski, M, Miekus, P, Kozlowski, A, Gniot, J, Musial, W, Dobrzycki, S, Rynkiewicz, A, Psuja, P, Rekosz, J, Drzewiecki, A, Kuznetsov, V, Gordeev, I, Goloshchekin, B, Markov, V, Barbarich, V, Belenky, D, Mikhin, V, Volkova, E, Timofeev, A, Ermoshkina, L, Barbarash, O, Klein, G, Libis, R, Vishnevsky, A, Linev, K, Khaisheva, L, Ruda, M, Dovgalevskiy, Y, Shvarts, Y, Zateyshchikov, D, Kostenko, V, Shalnev, V, Simanenkov, V, Arkhipov, M, Ovcharenko, E, Guseva, G, Akhunova, S, Ortiz, Ai, Navarro, Mj, Romero, Aj, Goya, Il, Peñaranda, As, Cendon, Aa, Rubio, Am, Zubiri, Jj, Soriano, Fr, Sanz, Rr, Genís, Ab, Lago, Vn, Fernández, Jd, Romo, Ai, Franco, Sn, Martin, Ih, Montero, Js, Martin Mde, M, González, Mj, Antolin, Jm, Areses, El, Miranda, Jm, Alonso-Pulpón, L, Esquivias, Gb, Jarne, Ef, Cortés, Jm, Pérez, Mb, Gormaz, Cl, Alegret, Jm, Nava, Js, Ingelmo, Jm, Urbano, Rh, Sanmartín, M, Katerenchuk, O, Vakaliuk, I, Karpenko, O, Prokhorov, O, Koval, O, Faynyk, A, Kopytsya, M, Karpenko, Y, Kraiz, I, Feskov, O, Rudenko, L, Kozhukhov, S, Goloborodko, B, Rivera, E, Broadwater, S, Crowley, S, Vijay, N, Goswami, R, Ferrier, L, Blanchard, A, Mccullum, K, Chernick, R, Bertolet, B, Battaglia, J, Richardson, J, Lochridge, S, Lieberman, S, Amkieh, A, Cavender, Jb, Denning, S, Treasure, C, Kmetzo, J, Stillabower, M, Brilakis, E, Schwartz, G, Acheatel, R, Kukuy, E, Ashchi, M, Skelding, K, Martin, L, Gillespie, E, French, W, Pollock, S, Polk, D, Black, R, Drenning, D, Anderson, J, Sanz, M, Korban, E, Wiley, M, Rezkalla, S, Minisi, A, Shah, A, Silverman, P, Amlani, M, Eaton, G, Brown, A, Jay, D, Loussararian, A, Lamas, G, Lauer, M, Williams, J, Asfour, A, Runquist, L, Robertson, R, Blonder, R, Davies, C, Downes, T, Chronos, N, Marso, S, Haldis, T, Eich, D, Ahmed, M, East, C, Macdonald, L, Seigel, P, White, M, Camp, A, Kleiman, N, Burtt, D, Strain, J, Go, B, Henry, P, Sultan, P, Delafontaine, P, Kashou, H, Lambert, C, Movahed, M, Saucedo, J, Thadani, U, Chandrashekhar, Y, Lu, D, Chandna, H, Mann, J, Ramaswamy, G, Browne, K, Janik, M, Cannon, K, Tolerico, P., Berni, Andrea, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, and Cardiology
- Subjects
Male ,Indoles ,Acetates ,Acute Coronary Syndrome ,Aged ,Angina, Unstable ,Atherosclerosis ,Double-Blind Method ,Early Termination of Clinical Trials ,Female ,Heptanoic Acids ,Humans ,Middle Aged ,Phospholipases A ,Phospholipases A2, Secretory ,Pyrroles ,Risk ,Stroke ,Survival Analysis ,Treatment Outcome ,Myocardial Infarction ,law.invention ,chemistry.chemical_compound ,Randomized controlled trial ,law ,Atorvastatin ,Clinical endpoint ,Medicine (all) ,General Medicine ,Angina ,Keto Acids ,medicine.medical_specialty ,Acute coronary syndrome ,Placebo ,Unstable ,Internal medicine ,Multicenter trial ,medicine ,Atorvastatin Calcium ,Unstable angina ,business.industry ,Secretory ,medicine.disease ,Interim analysis ,Surgery ,Phospholipases A2 ,chemistry ,Varespladib ,business - Abstract
Importance Secretory phospholipase A 2 (sPLA 2 ) generates bioactive phospholipid products implicated in atherosclerosis. The sPLA 2 inhibitor varespladib has favorable effects on lipid and inflammatory markers; however, its effect on cardiovascular outcomes is unknown. Objective To determine the effects of sPLA 2 inhibition with varespladib on cardiovascular outcomes. Design, Setting, and Participants A double-blind, randomized, multicenter trial at 362 academic and community hospitals in Europe, Australia, New Zealand, India, and North America of 5145 patients randomized within 96 hours of presentation of an acute coronary syndrome (ACS) to either varespladib (n = 2572) or placebo (n = 2573) with enrollment between June 1, 2010, and March 7, 2012 (study termination on March 9, 2012). Interventions Participants were randomized to receive varespladib (500 mg) or placebo daily for 16 weeks, in addition to atorvastatin and other established therapies. Main Outcomes and Measures The primary efficacy measure was a composite of cardiovascular mortality, nonfatal myocardial infarction (MI), nonfatal stroke, or unstable angina with evidence of ischemia requiring hospitalization at 16 weeks. Six-month survival status was also evaluated. Results At a prespecified interim analysis, including 212 primary end point events, the independent data and safety monitoring board recommended termination of the trial for futility and possible harm. The primary end point occurred in 136 patients (6.1%) treated with varespladib compared with 109 patients (5.1%) treated with placebo (hazard ratio [HR], 1.25; 95% CI, 0.97-1.61; log-rank P = .08). Varespladib was associated with a greater risk of MI (78 [3.4%] vs 47 [2.2%]; HR, 1.66; 95% CI, 1.16-2.39; log-rank P = .005). The composite secondary end point of cardiovascular mortality, MI, and stroke was observed in 107 patients (4.6%) in the varespladib group and 79 patients (3.8%) in the placebo group (HR, 1.36; 95% CI, 1.02-1.82; P = .04). Conclusions and Relevance In patients with recent ACS, varespladib did not reduce the risk of recurrent cardiovascular events and significantly increased the risk of MI. The sPLA 2 inhibition with varespladib may be harmful and is not a useful strategy to reduce adverse cardiovascular outcomes after ACS. Trial Registration clinicaltrials.gov Identifier:NCT01130246
- Published
- 2014
8. Loci influencing blood pressure identified using a cardiovascular gene-centric array (vol 22, pg 1663, 2013)
- Author
-
Ganesh, SK, Tragante, V, Guo, W, Guo, YR, Lanktree, MB, Smith, EN, Johnson, T, Castillo, BA, Barnard, J, Baumert, J, Chang, YPC, Elbers, CC, Farrall, M, Fischer, ME, Franceschini, N, Gaunt, TR, Gho, JMIH, Gieger, C, Gong, Y, Isaacs, Aaron, Kleber, ME, Leach, IM, McDonough, CW, Meijs, MFL, Mellander, O, Molony, CM, Nolte, IM (Ilja), Padmanabhan, S, Price, TS, Rajagopalan, R, Shaffer, J, Shah, S, Shen, HQ, Soranzo, N, van der Most, PJ, Van Iperen, EPA, van Setten, J, Vonk, JM, Zhang, Lei, Beitelshees, AL, Berenson, GS, Bhatt, DL, Boer, JMA, Boerwinkle, E, Burkley, B, Burt, A, Chakravarti, A, Chen, W, Cooper-DeHoff, RM, Curtis, SP, Dreisbach, A, Duggan, D, Ehret, GB, Fabsitz, RR, Fornage, M, Fox, E, Furlong, CE, Gansevoort, RT, Hofker, MH, Hovingh, GK, Kirkland, SA, Kottke-Marchant, K, Kutlar, A, Lacroix, AZ, Langaee, TY, Li, YR, Lin, HH, Liu, K, Maiwald, S, Malik, R, Murugesan, G, Newton-Cheh, C, OConnell, JR, Onland-Moret, NC, Ouwehand, WH, Palmas, W, Penninx, BW, Pepine, CJ, Pettinger, M, Polak, JF, Ramachandran, VS, Ranchalis, J, Redline, S, Ridker, PM, Rose, LM, Scharnag, H, Schork, NJ, Shimbo, D, Shuldiner, AR, Srinivasan, SR (Sathanur), Stolk, RP (Ronald), Taylor, HA, Thorand, B, Trip, MD, Duijn, Cornelia, Verschuren, WM, Wijmenga, C, Winkelmann, BR, Wyatt, S, Young, JH, Boehm, BO, Caulfield, MJ, Chasman, DI, Davidson, KW, Doevendans, PA, FitzGerald, GA, Gums, JG, Hakonarson, H, Hillege, HL, Illig, T, Jarvik, GP, Johnson, JA, Kastelein, JJP, Koenig, W, Marz, W, Mitchell, BD, Murray, SS, Oldehinkel, AJ (A.), Rader, DJ, Reilly, MP, Reiner, AP, Schadt, EE, Silverstein, RL, Snieder, H, Stanton, AV, Uitterlinden, André, van der Harst, P, van der Schouw, YT, Samani, NJ, Johnson, AD, Munroe, PB, de Bakker, PIW, Zhu, XF, Levy, D, Keating, BJ, Asselbergs, FW, Epidemiology, Public Health, Clinical Genetics, Immunology, Child and Adolescent Psychiatry / Psychology, and Internal Medicine
- Published
- 2013
9. Homocysteine and coronary heart disease: Meta-analysis of MTHFR case-control studies, avoiding publication bias
- Author
-
Holm, H, Thorsteinsdottir, U, Gretarsdottir, S, Gulcher, Jr, Thorgeirsson, G, Andersen, K, Stefansson, K, Parish, S, Bennett, Da, Clarke, R, Peto, R, Sleight, P, Collins, R, Hopewell, Jc, Watkins, H, Saleheen, D, Danesh, J, Rasheed, A, Zaidi, M, Frossard, P, Shah, N, Samuel, M, Tanaka, T, Ozaki, K, Sato, H, Sakata, Y, Komuro, I, Anand, Ss, Yusuf, S, Engert, Jc, Chambers, J, Kooner, J, Armitage, J, Samani, Nj, Braund, Ps, Nelson, Cp, Hall, As, Balmforth, A, Ball, Sg, Kleber, Me, Hoffmann, Mm, März, Wa, Bugert, P, Winkelmann, B, Böhm, Bo, Ouwehand, Wh, Sivapalaratnam, S, Kastelein, Jj, Trip, Md, Bezzina, Cr, Ouwehand, W, Yamada, Y, Elbers, Cc, Onland Moret NC, Bauer, F, van der Schouw YT, Verschuren, Wm, de Boer JM, Wijmenga, C, Hofker, Mh, de Bakker PI, Peters, Bj, Maitland van der Zee AH, de Boer, A, Klungel, Oh, Grobbee, De, Stewart, Af, Roberts, R, Mcpherson, R, Chen, L, Wells, Ga, Reilly, Mm, Li, M, Qu, I, Rader, Dj, Thorand, B, Illig, T, Peters, A, Koenig, W, Assimes, Tl, Fortmann, S, Iribarren, C, Abbate, R, Marcucci, R, Anderson, Jl, Zebrack, Js, Ardissino, D, Merlini, Fm, Bonomi, Ab, Ashfield Watt PA, Clark, Ze, van Bockxmeer FM, Brownrigg, L, Kooner, Js, Ferrer Antunes, C, Palmeiro, A, Fernandez Arcas, N, Reyes Engel, A, Folsom, Ar, Fowkes, Fg, Lee, Aj, Gaziano, Jm, Gemmati, D, Scapoli, Gl, Genest, J, Rozen, R, Girelli, Domenico, Corrocher, Roberto, Rossi, Gb, Meleady, R, Graham, Im, Gulec, S, Hopkins, Pn, Inbal, A, Selighson, U, Jukema, Jw, Litynsky, P, Kluijtmans, La, Kozich, V, Janosikova, B, Ma, J, Stampfer, Mj, Malinow, Mr, Meisel, C, Stangl, K, Morita, H, Nagai, R, Nakai, K, Nordestgaard, Bg, Zacho, J, Rimm, Eb, Schwartz, Sm, Siscovick, Ds, Silberberg, Js, Szczeklik, A, Domagala, Bt, Tanis, Bc, Rosendaal, Fm, Thogersen, Am, Nilsson, Tk, Todesco, L, Tokgozoglu, Sl, Tsai, My, Hanson, Nq, Verhoeff, Bj, Yamakawa Kobayashi, K, Hamaguchi, H., Medical Research Council (MRC), Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Pulmonology, and Other departments
- Subjects
Homocysteine ,coronary heart disease ,methylene tetrahydrofolate reductase ,Coronary Disease ,FOLIC-ACID ,030204 cardiovascular system & hematology ,PLACEBO-CONTROLLED TRIAL ,Gastroenterology ,Methylenetetrahydrofolate reductase gene ,Placebo-controlled trial ,Cardiovascular-disease ,Mendelian randomization ,Myocardial-infarction ,Vascular-disease ,Common mutation ,B vitamins ,Folic-acid ,Ethnic-groups ,chemistry.chemical_compound ,MTHFR ,risk factors ,publication bias ,GWA ,genome-wide association ,meta-analysis ,0302 clinical medicine ,Polymorphism (computer science) ,030212 general & internal medicine ,Myocardial infarction ,11 Medical and Health Sciences ,Genetics ,biology ,VASCULAR-DISEASE ,General Medicine ,ETHNIC-GROUPS ,3. Good health ,CARDIOVASCULAR-DISEASE ,Meta-analysis ,MENDELIAN RANDOMIZATION ,Medicine ,MTHFR Studies Collaborative Group ,Life Sciences & Biomedicine ,Research Article ,medicine.medical_specialty ,Genotype ,METHYLENETETRAHYDROFOLATE REDUCTASE GENE ,Genomic disorders and inherited multi-system disorders [IGMD 3] ,03 medical and health sciences ,Medicine, General & Internal ,Folic Acid ,Bias ,Internal medicine ,General & Internal Medicine ,medicine ,Humans ,Methylenetetrahydrofolate Reductase (NADPH2) ,Science & Technology ,Polymorphism, Genetic ,business.industry ,Case-control study ,Odds ratio ,Publication bias ,medicine.disease ,COMMON MUTATION ,chemistry ,MYOCARDIAL-INFARCTION ,Methylenetetrahydrofolate reductase ,biology.protein ,B VITAMINS ,business - Abstract
Robert Clarke and colleagues conduct a meta-analysis of unpublished datasets to examine the causal relationship between elevation of homocysteine levels in the blood and the risk of coronary heart disease. Their data suggest that an increase in homocysteine levels is not likely to result in an increase in risk of coronary heart disease., Background Moderately elevated blood levels of homocysteine are weakly correlated with coronary heart disease (CHD) risk, but causality remains uncertain. When folate levels are low, the TT genotype of the common C677T polymorphism (rs1801133) of the methylene tetrahydrofolate reductase gene (MTHFR) appreciably increases homocysteine levels, so “Mendelian randomization” studies using this variant as an instrumental variable could help test causality. Methods and Findings Nineteen unpublished datasets were obtained (total 48,175 CHD cases and 67,961 controls) in which multiple genetic variants had been measured, including MTHFR C677T. These datasets did not include measurements of blood homocysteine, but homocysteine levels would be expected to be about 20% higher with TT than with CC genotype in the populations studied. In meta-analyses of these unpublished datasets, the case-control CHD odds ratio (OR) and 95% CI comparing TT versus CC homozygotes was 1.02 (0.98–1.07; p = 0.28) overall, and 1.01 (0.95–1.07) in unsupplemented low-folate populations. By contrast, in a slightly updated meta-analysis of the 86 published studies (28,617 CHD cases and 41,857 controls), the OR was 1.15 (1.09–1.21), significantly discrepant (p = 0.001) with the OR in the unpublished datasets. Within the meta-analysis of published studies, the OR was 1.12 (1.04–1.21) in the 14 larger studies (those with variance of log OR, Editors' Summary Background Coronary heart disease (CHD) is the leading cause of death among adults in developed countries. With age, fatty deposits (atherosclerotic plaques) coat the walls of the coronary arteries, the blood vessels that supply the heart with oxygen and nutrients. The resultant restriction of the heart's blood supply causes shortness of breath, angina (chest pains that are usually relieved by rest), and sometimes fatal heart attacks. Many established risk factors for CHD, including smoking, physical inactivity, being overweight, and eating a fat-rich diet, can be modified by lifestyle changes. Another possible modifiable risk factor for CHD is a high blood level of the amino acid homocysteine. Methylene tetrahydofolate reductase, which is encoded by the MTHFR gene, uses folate to break down and remove homocysteine so fortification of cereals with folate can reduce population homocysteine blood levels. Pooled results from prospective observational studies that have looked for an association between homocysteine levels and later development of CHD suggest that the reduction in homocysteine levels that can be achieved by folate supplementation is associated with an 11% lower CHD risk. Why Was This Study Done? Prospective observational studies cannot prove that high homocysteine levels cause CHD because of confounding, the potential presence of other unknown shared characteristics that really cause CHD. However, an approach called “Mendelian randomization” can test whether high blood homocysteine causes CHD. A common genetic variant of the MTHFR gene—the C677T polymorphism—reduces MTHFR efficiency so TT homozygotes (individuals in whom both copies of the MTHFR gene have the nucleotide thymine at position 677; the human genome contains two copies of most genes) have 25% higher blood homocysteine levels than CC homozygotes. In meta-analyses (statistical pooling of the results of several studies) of published Mendelian randomized studies, TT homozygotes have a higher CHD risk than CC homozygotes. Because gene variants are inherited randomly, they are not subject to confounding, so this result suggests that high blood homocysteine causes CHD. But what if only Mendelian randomization studies that found an association have been published? Such publication bias would affect this aggregate result. Here, the researchers investigate the association of the MTHFR C677T polymorphism with CHD in unpublished datasets that have analyzed this polymorphism incidentally during other genetic studies. What Did the Researchers Do and Find? The researchers obtained 19 unpublished datasets that contained data on the MTHFR C677T polymorphism in thousands of people with and without CHD. Meta-analysis of these datasets indicates that the excess CHD risk in TT homozygotes compared to CC homozygotes was 2% (much lower than predicted from the prospective observational studies), a nonsignificant difference (that is, it could have occurred by chance). When the probable folate status of the study populations (based on when national folic acid fortification legislation came into effect) was taken into account, there was still no evidence that TT homozygotes had an excess CHD risk. By contrast, in an updated meta-analysis of 86 published studies of the association of the polymorphism with CHD, the excess CHD risk in TT homozygotes compared to CC homozygotes was 15%. Finally, in a meta-analysis of randomized trials on the use of vitamin B supplements for homocysteine reduction, folate supplementation had no significant effect on the 5-year incidence of CHD. What Do These Findings Mean? These analyses of unpublished datasets are consistent with lifelong moderate elevation of homocysteine levels having no significant effect on CHD risk. In other words, these findings indicate that circulating homocysteine levels within the normal range are not causally related to CHD risk. The meta-analysis of the randomized trials of folate supplementation also supports this conclusion. So why is there a discrepancy between these findings and those of meta-analyses of published Mendelian randomization studies? The discrepancy is too large to be dismissed as a chance finding, suggest the researchers, but could be the result of publication bias—some studies might have been prioritized for publication because of the positive nature of their results whereas the unpublished datasets used in this study would not have been affected by any failure to publish null results. Overall, these findings reveal a serious example of publication bias and argue against the use of folate supplements as a means of reducing CHD risk. Additional Information Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001177. The American Heart Association provides information about CHD and tips on keeping the heart healthy; it also provides information on homocysteine, folic acid, and CHD, general information on supplements and heart health, and personal stories about CHD The UK National Health Service Choices website provides information about CHD, including personal stories about CHD Information is available from the British Heart Foundation on heart disease and keeping the heart healthy The US National Heart Lung and Blood Institute also provides information on CHD (in English and Spanish) MedlinePlus provides links to many other sources of information on CHD (in English and Spanish) Wikipedia has a page on Mendelian randomization (note: Wikipedia is a free online encyclopedia that anyone can edit; available in several languages)
- Published
- 2012
10. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
- Author
-
Mahajan, A, Go, MJ, Zhang, W, Below, JE, Gaulton, KJ, Ferreira, T, Horikoshi, M, Johnson, AD, Ng, MCY, Prokopenko, I, Saleheen, D, Wang, X, Zeggini, E, Abecasis, GR, Adair, LS, Almgren, P, Atalay, M, Aung, T, Baldassarre, D, Balkau, B, Bao, Y, Barnett, AH, Barroso, I, Basit, A, Been, LF, Beilby, J, Bell, GI, Benediktsson, R, Bergman, RN, Boehm, BO, Boerwinkle, E, Bonnycastle, LL, Burtt, N, Cai, Q, Campbell, H, Carey, J, Cauchi, S, Caulfield, M, Chan, JCN, Chang, L-C, Chang, T-J, Chang, Y-C, Charpentier, G, Chen, C-H, Chen, H, Chen, Y-T, Chia, K-S, Chidambaram, M, Chines, PS, Cho, NH, Cho, YM, Chuang, L-M, Collins, FS, Cornelis, MC, Couper, DJ, Crenshaw, AT, van Dam, RM, Danesh, J, Das, D, de Faire, U, Dedoussis, G, Deloukas, P, Dimas, AS, Dina, C, Doney, ASF, Donnelly, PJ, Dorkhan, M, van Duijn, C, Dupuis, J, Edkins, S, Elliott, P, Emilsson, V, Erbel, R, Eriksson, JG, Escobedo, J, Esko, T, Eury, E, Florez, JC, Fontanillas, P, Forouhi, NG, Forsen, T, Fox, C, Fraser, RM, Frayling, TM, Froguel, P, Frossard, P, Gao, Y, Gertow, K, Gieger, C, Gigante, B, Grallert, H, Grant, GB, Groop, LC, Groves, CJ, Grundberg, E, Guiducci, C, Hamsten, A, Han, B-G, Hara, K, Hassanali, N, Hattersley, AT, Hayward, C, Hedman, AK, Herder, C, Hofman, A, Holmen, OL, Hovingh, K, Hreidarsson, AB, Hu, C, Hu, FB, Hui, J, Humphries, SE, Hunt, SE, Hunter, DJ, Hveem, K, Hydrie, ZI, Ikegami, H, Illig, T, Ingelsson, E, Islam, M, Isomaa, B, Jackson, AU, Jafar, T, James, A, Jia, W, Joeckel, K-H, Jonsson, A, Jowett, JBM, Kadowaki, T, Kang, HM, Kanoni, S, Kao, WHL, Kathiresan, S, Kato, N, Katulanda, P, Keinanen-Kiukaanniemi, SM, Kelly, AM, Khan, H, Khaw, K-T, Khor, C-C, Kim, H-L, Kim, S, Kim, YJ, Kinnunen, L, Klopp, N, Kong, A, Korpi-Hyovalti, E, Kowlessur, S, Kraft, P, Kravic, J, Kristensen, MM, Krithika, S, Kumar, A, Kumate, J, Kuusisto, J, Kwak, SH, Laakso, M, Lagou, V, Lakka, TA, Langenberg, C, Langford, C, Lawrence, R, Leander, K, Lee, J-M, Lee, NR, Li, M, Li, X, Li, Y, Liang, J, Liju, S, Lim, W-Y, Lind, L, Lindgren, CM, Lindholm, E, Liu, C-T, Liu, JJ, Lobbens, S, Long, J, Loos, RJF, Lu, W, Luan, J, Lyssenko, V, Ma, RCW, Maeda, S, Maegi, R, Mannisto, S, Matthews, DR, Meigs, JB, Melander, O, Metspalu, A, Meyer, J, Mirza, G, Mihailov, E, Moebus, S, Mohan, V, Mohlke, KL, Morris, AD, Muehleisen, TW, Mueller-Nurasyid, M, Musk, B, Nakamura, J, Nakashima, E, Navarro, P, Peng-Keat, N, Nica, AC, Nilsson, PM, Njolstad, I, Noethen, MM, Ohnaka, K, Ong, TH, Owen, KR, Palmer, CNA, Pankow, JS, Park, KS, Parkin, M, Pechlivanis, S, Pedersen, NL, Peltonen, L, Perry, JRB, Peters, A, Pinidiyapathirage, JM, Platou, CGP, Potter, S, Price, JF, Qi, L, Radha, V, Rallidis, L, Rasheed, A, Rathmann, W, Rauramaa, R, Raychaudhuri, S, Rayner, NW, Rees, SD, Rehnberg, E, Ripatti, S, Robertson, N, Roden, M, Rossin, EJ, Rudan, I, Rybin, D, Saaristo, TE, Salomaa, V, Saltevo, J, Samuel, M, Sanghera, DK, Saramies, J, Scott, J, Scott, LJ, Scott, RA, Segre, AV, Sehmi, J, Sennblad, B, Shah, N, Shah, S, Shera, AS, Shu, XO, Shuldiner, AR, Sigurdsson, G, Sijbrands, E, Silveira, A, Sim, X, Sivapalaratnam, S, Small, KS, So, WY, Stancakova, A, Stefansson, K, Steinbach, G, Steinthorsdottir, V, Stirrups, K, Strawbridge, RJ, Stringham, HM, Sun, Q, Suo, C, Syvanen, A-C, Takayanagi, R, Takeuchi, F, Tay, WT, Teslovich, TM, Thorand, B, Thorleifsson, G, Thorsteinsdottir, U, Tikkanen, E, Trakalo, J, Tremoli, E, Trip, MD, Tsai, FJ, Tuomi, T, Tuomilehto, J, Uitterlinden, AG, Valladares-Salgado, A, Vedantam, S, Veglia, F, Voight, BF, Wang, C, Wareham, NJ, Wennauer, R, Wickremasinghe, AR, Wilsgaard, T, Wilson, JF, Wiltshire, S, Winckler, W, Wong, TY, Wood, AR, Wu, J-Y, Wu, Y, Yamamoto, K, Yamauchi, T, Yang, M, Yengo, L, Yokota, M, Young, R, Zabaneh, D, Zhang, F, Zhang, R, Zheng, W, Zimmet, PZ, Altshuler, D, Bowden, DW, Cho, YS, Cox, NJ, Cruz, M, Hanis, CL, Kooner, J, Lee, J-Y, Seielstad, M, Teo, YY, Boehnke, M, Parra, EJ, Chambers, JC, Tai, ES, McCarthy, MI, Morris, AP, Mahajan, A, Go, MJ, Zhang, W, Below, JE, Gaulton, KJ, Ferreira, T, Horikoshi, M, Johnson, AD, Ng, MCY, Prokopenko, I, Saleheen, D, Wang, X, Zeggini, E, Abecasis, GR, Adair, LS, Almgren, P, Atalay, M, Aung, T, Baldassarre, D, Balkau, B, Bao, Y, Barnett, AH, Barroso, I, Basit, A, Been, LF, Beilby, J, Bell, GI, Benediktsson, R, Bergman, RN, Boehm, BO, Boerwinkle, E, Bonnycastle, LL, Burtt, N, Cai, Q, Campbell, H, Carey, J, Cauchi, S, Caulfield, M, Chan, JCN, Chang, L-C, Chang, T-J, Chang, Y-C, Charpentier, G, Chen, C-H, Chen, H, Chen, Y-T, Chia, K-S, Chidambaram, M, Chines, PS, Cho, NH, Cho, YM, Chuang, L-M, Collins, FS, Cornelis, MC, Couper, DJ, Crenshaw, AT, van Dam, RM, Danesh, J, Das, D, de Faire, U, Dedoussis, G, Deloukas, P, Dimas, AS, Dina, C, Doney, ASF, Donnelly, PJ, Dorkhan, M, van Duijn, C, Dupuis, J, Edkins, S, Elliott, P, Emilsson, V, Erbel, R, Eriksson, JG, Escobedo, J, Esko, T, Eury, E, Florez, JC, Fontanillas, P, Forouhi, NG, Forsen, T, Fox, C, Fraser, RM, Frayling, TM, Froguel, P, Frossard, P, Gao, Y, Gertow, K, Gieger, C, Gigante, B, Grallert, H, Grant, GB, Groop, LC, Groves, CJ, Grundberg, E, Guiducci, C, Hamsten, A, Han, B-G, Hara, K, Hassanali, N, Hattersley, AT, Hayward, C, Hedman, AK, Herder, C, Hofman, A, Holmen, OL, Hovingh, K, Hreidarsson, AB, Hu, C, Hu, FB, Hui, J, Humphries, SE, Hunt, SE, Hunter, DJ, Hveem, K, Hydrie, ZI, Ikegami, H, Illig, T, Ingelsson, E, Islam, M, Isomaa, B, Jackson, AU, Jafar, T, James, A, Jia, W, Joeckel, K-H, Jonsson, A, Jowett, JBM, Kadowaki, T, Kang, HM, Kanoni, S, Kao, WHL, Kathiresan, S, Kato, N, Katulanda, P, Keinanen-Kiukaanniemi, SM, Kelly, AM, Khan, H, Khaw, K-T, Khor, C-C, Kim, H-L, Kim, S, Kim, YJ, Kinnunen, L, Klopp, N, Kong, A, Korpi-Hyovalti, E, Kowlessur, S, Kraft, P, Kravic, J, Kristensen, MM, Krithika, S, Kumar, A, Kumate, J, Kuusisto, J, Kwak, SH, Laakso, M, Lagou, V, Lakka, TA, Langenberg, C, Langford, C, Lawrence, R, Leander, K, Lee, J-M, Lee, NR, Li, M, Li, X, Li, Y, Liang, J, Liju, S, Lim, W-Y, Lind, L, Lindgren, CM, Lindholm, E, Liu, C-T, Liu, JJ, Lobbens, S, Long, J, Loos, RJF, Lu, W, Luan, J, Lyssenko, V, Ma, RCW, Maeda, S, Maegi, R, Mannisto, S, Matthews, DR, Meigs, JB, Melander, O, Metspalu, A, Meyer, J, Mirza, G, Mihailov, E, Moebus, S, Mohan, V, Mohlke, KL, Morris, AD, Muehleisen, TW, Mueller-Nurasyid, M, Musk, B, Nakamura, J, Nakashima, E, Navarro, P, Peng-Keat, N, Nica, AC, Nilsson, PM, Njolstad, I, Noethen, MM, Ohnaka, K, Ong, TH, Owen, KR, Palmer, CNA, Pankow, JS, Park, KS, Parkin, M, Pechlivanis, S, Pedersen, NL, Peltonen, L, Perry, JRB, Peters, A, Pinidiyapathirage, JM, Platou, CGP, Potter, S, Price, JF, Qi, L, Radha, V, Rallidis, L, Rasheed, A, Rathmann, W, Rauramaa, R, Raychaudhuri, S, Rayner, NW, Rees, SD, Rehnberg, E, Ripatti, S, Robertson, N, Roden, M, Rossin, EJ, Rudan, I, Rybin, D, Saaristo, TE, Salomaa, V, Saltevo, J, Samuel, M, Sanghera, DK, Saramies, J, Scott, J, Scott, LJ, Scott, RA, Segre, AV, Sehmi, J, Sennblad, B, Shah, N, Shah, S, Shera, AS, Shu, XO, Shuldiner, AR, Sigurdsson, G, Sijbrands, E, Silveira, A, Sim, X, Sivapalaratnam, S, Small, KS, So, WY, Stancakova, A, Stefansson, K, Steinbach, G, Steinthorsdottir, V, Stirrups, K, Strawbridge, RJ, Stringham, HM, Sun, Q, Suo, C, Syvanen, A-C, Takayanagi, R, Takeuchi, F, Tay, WT, Teslovich, TM, Thorand, B, Thorleifsson, G, Thorsteinsdottir, U, Tikkanen, E, Trakalo, J, Tremoli, E, Trip, MD, Tsai, FJ, Tuomi, T, Tuomilehto, J, Uitterlinden, AG, Valladares-Salgado, A, Vedantam, S, Veglia, F, Voight, BF, Wang, C, Wareham, NJ, Wennauer, R, Wickremasinghe, AR, Wilsgaard, T, Wilson, JF, Wiltshire, S, Winckler, W, Wong, TY, Wood, AR, Wu, J-Y, Wu, Y, Yamamoto, K, Yamauchi, T, Yang, M, Yengo, L, Yokota, M, Young, R, Zabaneh, D, Zhang, F, Zhang, R, Zheng, W, Zimmet, PZ, Altshuler, D, Bowden, DW, Cho, YS, Cox, NJ, Cruz, M, Hanis, CL, Kooner, J, Lee, J-Y, Seielstad, M, Teo, YY, Boehnke, M, Parra, EJ, Chambers, JC, Tai, ES, McCarthy, MI, and Morris, AP
- Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
- Published
- 2014
11. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
- Author
-
Berndt, S, Gustafsson, S, Mägi, R, Ganna, A, Wheeler, E, Feitosa, M, Justice, A, Monda, K, Croteau Chonka, D, Day, F, Esko, T, Fall, T, Ferreira, T, Gentilini, D, Jackson, A, Luan, J, Randall, J, Vedantam, S, Willer, C, Winkler, T, Wood, A, Workalemahu, T, Hu, Y, Lee, S, Liang, L, Lin, D, Min, J, Neale, B, Thorleifsson, G, Yang, J, Albrecht, E, Amin, N, Bragg Gresham, J, Cadby, G, den Heijer, M, Eklund, N, Fischer, K, Goel, A, Hottenga, J, Huffman, J, Jarick, I, Johansson, Å, Johnson, T, Kanoni, S, Kleber, M, König, I, Kristiansson, K, Kutalik, Z, Lamina, C, Lecoeur, C, Li, G, Mangino, M, Mcardle, W, Medina Gomez, C, Müller Nurasyid, M, Ngwa, J, Nolte, I, Paternoster, L, Pechlivanis, S, Perola, M, Peters, M, Preuss, M, Rose, L, Shi, J, Shungin, D, Smith, A, Strawbridge, R, Surakka, I, Teumer, A, Trip, M, Tyrer, J, Van Vliet Ostaptchouk, J, Vandenput, L, Waite, L, Zhao, J, Absher, D, Asselbergs, F, Atalay, M, Attwood, A, Balmforth, A, Basart, H, Beilby, J, Bonnycastle, L, Brambilla, P, Bruinenberg, M, Campbell, H, Chasman, D, Chines, P, Collins, F, Connell, J, Cookson, W, De, F, U, D, Vegt, F, Dei, M, Dimitriou, M, Edkins, S, Estrada, K, Evans, D, Farrall, M, Ferrario, M, Ferrières, J, Franke, L, Frau, F, Gejman, P, Grallert, H, Grönberg, H, Gudnason, V, Hall, A, Hall, P, Hartikainen, A, Hayward, C, Heard Costa, N, Heath, A, Hebebrand, J, Homuth, G, Hu, F, Hunt, S, Hyppönen, E, Iribarren, C, Jacobs, K, Jansson, J, Jula, A, Kähönen, M, Kathiresan, S, Kee, F, Khaw, K, Kivimäki, M, Koenig, W, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Laitinen, J, Lakka, T, Langenberg, C, Launer, L, Lind, L, Lindström, J, Liu, J, Liuzzi, A, Lokki, M, Lorentzon, M, Madden, P, Magnusson, P, Manunta, P, Marek, D, März, W, Mateo Leach, I, Mcknight, B, Medland, S, Mihailov, E, Milani, L, Montgomery, G, Mooser, V, Mühleisen, T, Munroe, P, Musk, A, Narisu, N, Navis, G, Nicholson, G, Nohr, E, Ong, K, Oostra, B, Palmer, C, Palotie, A, Peden, J, Pedersen, N, Peters, A, Polasek, O, Pouta, A, Pramstaller, P, Prokopenko, I, Pütter, C, Radhakrishnan, A, Raitakari, O, Rendon, A, Rivadeneira, F, Rudan, I, Saaristo, T, Sambrook, J, Sanders, A, Sanna, S, Saramies, J, Schipf, S, Schreiber, S, Schunkert, H, Shin, S, Signorini, S, Sinisalo, J, Skrobek, B, Soranzo, N, Stančáková, A, Stark, K, Stephens, J, Stirrups, K, Stolk, R, Stumvoll, M, Swift, A, Theodoraki, E, Thorand, B, Tregouet, D, Tremoli, E, Van der Klauw, M, van Meurs, J, Vermeulen, S, Viikari, J, Virtamo, J, Vitart, V, Waeber, G, Wang, Z, Widén, E, Wild, S, Willemsen, G, Winkelmann, B, Witteman, J, Wolffenbuttel, B, Wong, A, Wright, A, Zillikens, M, Amouyel, P, Boehm, B, Boerwinkle, E, Boomsma, D, Caulfield, M, Chanock, S, Cupples, L, Cusi, D, Dedoussis, G, Erdmann, J, Eriksson, J, Franks, P, Froguel, P, Gieger, C, Gyllensten, U, Hamsten, A, Harris, T, Hengstenberg, C, Hicks, A, Hingorani, A, Hinney, A, Hofman, A, Hovingh, K, Hveem, K, Illig, T, Jarvelin, M, Jöckel, K, Keinanen Kiukaanniemi, S, Kiemeney, L, Kuh, D, Laakso, M, Lehtimäki, T, Levinson, D, Martin, N, Metspalu, A, Morris, A, Nieminen, M, Njølstad, I, Ohlsson, C, Oldehinkel, A, Ouwehand, W, Palmer, L, Penninx, B, Power, C, Province, M, Psaty, B, Qi, L, Rauramaa, R, Ridker, P, Ripatti, S, Salomaa, V, Samani, N, Snieder, H, Sørensen, T, Spector, T, Stefansson, K, Tönjes, A, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, van der Harst, P, Vollenweider, P, Wallaschofski, H, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Abecasis, G, Assimes, T, Barroso, I, Boehnke, M, Borecki, I, Deloukas, P, Fox, C, Frayling, T, Groop, L, Haritunian, T, Heid, I, Hunter, D, Kaplan, R, Karpe, F, Moffatt, M, Mohlke, K, O'Connell, J, Pawitan, Y, Schadt, E, Schlessinger, D, Steinthorsdottir, V, Strachan, D, Thorsteinsdottir, U, Van, D, Cm, Visscher, P, Di Blasio, A, Hirschhorn, J, Lindgren, C, Meyre, D, Scherag, A, Mccarthy, M, Speliotes, E, North, K, Loos, R, Ingelsson, E, Berndt, SI, Feitosa, MF, Justice, AE, Monda, KL, Croteau Chonka, DC, Day, FR, Jackson, AU, Randall, JC, Willer, CJ, Winkler, TW, Wood, AR, Hu, YJ, Lee, SH, Lin, DY, Min, JL, Neale, BM, Bragg Gresham, JL, Hottenga, JJ, Huffman, JE, Kleber, ME, König, IR, McArdle, WL, Ngwa, JS, Nolte, IM, Peters, MJ, Rose, LM, Smith, AV, Strawbridge, RJ, Trip, MD, Van Vliet Ostaptchouk, JV, Waite, LL, Zhao, JH, Asselbergs, FW, Attwood, AP, Balmforth, AJ, Bonnycastle, LL, Chasman, DI, Chines, PS, Collins, FS, Connell, JM, Cookson, WO, de, Faire, U, de, Evans, DM, Ferrario, MM, Gejman, PV, Hall, AS, Hartikainen, AL, Heard Costa, NL, Heath, AC, Hu, FB, Hunt, SE, Jacobs, KB, Jansson, JO, Khaw, KT, Kraja, AT, Laitinen, JH, Lakka, TA, Launer, LJ, Lokki, ML, Madden, PA, Magnusson, PK, McKnight, B, Medland, SE, Montgomery, GW, Mühleisen, TW, Munroe, PB, Musk, AW, Nohr, EA, Ong, KK, Oostra, BA, Palmer, CN, Peden, JF, Pramstaller, PP, Saaristo, TE, Sambrook, JG, Sanders, AR, Shin, SY, Stephens, JC, Stolk, RP, Swift, AJ, Theodoraki, EV, Tregouet, DA, Van der Klauw, MM, van Meurs, JB, Vermeulen, SH, Wild, SH, Winkelmann, BR, Witteman, JC, Wolffenbuttel, BH, Wright, AF, Zillikens, MC, Boehm, BO, Boomsma, DI, Caulfield, MJ, Chanock, SJ, Cupples, LA, Dedoussis, GV, Eriksson, JG, Franks, PW, Harris, TB, Hicks, AA, Hovingh, KG, Jarvelin, MR, Jöckel, KH, Keinanen Kiukaanniemi, SM, Kiemeney, LA, Levinson, DF, Martin, NG, Morris, AD, Nieminen, MS, Oldehinkel, AJ, Ouwehand, WH, Palmer, LJ, Province, MA, Psaty, BM, Ridker, PM, Samani, NJ, Sørensen, TI, Spector, TD, Uitterlinden, AG, Wareham, NJ, Wichmann, HE, Wilson, JF, Abecasis, GR, Assimes, TL, Borecki, IB, Fox, CS, Groop, LC, Heid, IM, Kaplan, RC, Moffatt, MF, Mohlke, KL, O'Connell, JR, Schadt, EE, Strachan, DP, van, Duijn, CM, Visscher, PM, Di Blasio, AM, Hirschhorn, JN, Lindgren, CM, Morris, AP, McCarthy, MI, Speliotes, EK, North, KE, Loos, RJ, Ingelsson, E., BRAMBILLA, PAOLO, Berndt, S, Gustafsson, S, Mägi, R, Ganna, A, Wheeler, E, Feitosa, M, Justice, A, Monda, K, Croteau Chonka, D, Day, F, Esko, T, Fall, T, Ferreira, T, Gentilini, D, Jackson, A, Luan, J, Randall, J, Vedantam, S, Willer, C, Winkler, T, Wood, A, Workalemahu, T, Hu, Y, Lee, S, Liang, L, Lin, D, Min, J, Neale, B, Thorleifsson, G, Yang, J, Albrecht, E, Amin, N, Bragg Gresham, J, Cadby, G, den Heijer, M, Eklund, N, Fischer, K, Goel, A, Hottenga, J, Huffman, J, Jarick, I, Johansson, Å, Johnson, T, Kanoni, S, Kleber, M, König, I, Kristiansson, K, Kutalik, Z, Lamina, C, Lecoeur, C, Li, G, Mangino, M, Mcardle, W, Medina Gomez, C, Müller Nurasyid, M, Ngwa, J, Nolte, I, Paternoster, L, Pechlivanis, S, Perola, M, Peters, M, Preuss, M, Rose, L, Shi, J, Shungin, D, Smith, A, Strawbridge, R, Surakka, I, Teumer, A, Trip, M, Tyrer, J, Van Vliet Ostaptchouk, J, Vandenput, L, Waite, L, Zhao, J, Absher, D, Asselbergs, F, Atalay, M, Attwood, A, Balmforth, A, Basart, H, Beilby, J, Bonnycastle, L, Brambilla, P, Bruinenberg, M, Campbell, H, Chasman, D, Chines, P, Collins, F, Connell, J, Cookson, W, De, F, U, D, Vegt, F, Dei, M, Dimitriou, M, Edkins, S, Estrada, K, Evans, D, Farrall, M, Ferrario, M, Ferrières, J, Franke, L, Frau, F, Gejman, P, Grallert, H, Grönberg, H, Gudnason, V, Hall, A, Hall, P, Hartikainen, A, Hayward, C, Heard Costa, N, Heath, A, Hebebrand, J, Homuth, G, Hu, F, Hunt, S, Hyppönen, E, Iribarren, C, Jacobs, K, Jansson, J, Jula, A, Kähönen, M, Kathiresan, S, Kee, F, Khaw, K, Kivimäki, M, Koenig, W, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Laitinen, J, Lakka, T, Langenberg, C, Launer, L, Lind, L, Lindström, J, Liu, J, Liuzzi, A, Lokki, M, Lorentzon, M, Madden, P, Magnusson, P, Manunta, P, Marek, D, März, W, Mateo Leach, I, Mcknight, B, Medland, S, Mihailov, E, Milani, L, Montgomery, G, Mooser, V, Mühleisen, T, Munroe, P, Musk, A, Narisu, N, Navis, G, Nicholson, G, Nohr, E, Ong, K, Oostra, B, Palmer, C, Palotie, A, Peden, J, Pedersen, N, Peters, A, Polasek, O, Pouta, A, Pramstaller, P, Prokopenko, I, Pütter, C, Radhakrishnan, A, Raitakari, O, Rendon, A, Rivadeneira, F, Rudan, I, Saaristo, T, Sambrook, J, Sanders, A, Sanna, S, Saramies, J, Schipf, S, Schreiber, S, Schunkert, H, Shin, S, Signorini, S, Sinisalo, J, Skrobek, B, Soranzo, N, Stančáková, A, Stark, K, Stephens, J, Stirrups, K, Stolk, R, Stumvoll, M, Swift, A, Theodoraki, E, Thorand, B, Tregouet, D, Tremoli, E, Van der Klauw, M, van Meurs, J, Vermeulen, S, Viikari, J, Virtamo, J, Vitart, V, Waeber, G, Wang, Z, Widén, E, Wild, S, Willemsen, G, Winkelmann, B, Witteman, J, Wolffenbuttel, B, Wong, A, Wright, A, Zillikens, M, Amouyel, P, Boehm, B, Boerwinkle, E, Boomsma, D, Caulfield, M, Chanock, S, Cupples, L, Cusi, D, Dedoussis, G, Erdmann, J, Eriksson, J, Franks, P, Froguel, P, Gieger, C, Gyllensten, U, Hamsten, A, Harris, T, Hengstenberg, C, Hicks, A, Hingorani, A, Hinney, A, Hofman, A, Hovingh, K, Hveem, K, Illig, T, Jarvelin, M, Jöckel, K, Keinanen Kiukaanniemi, S, Kiemeney, L, Kuh, D, Laakso, M, Lehtimäki, T, Levinson, D, Martin, N, Metspalu, A, Morris, A, Nieminen, M, Njølstad, I, Ohlsson, C, Oldehinkel, A, Ouwehand, W, Palmer, L, Penninx, B, Power, C, Province, M, Psaty, B, Qi, L, Rauramaa, R, Ridker, P, Ripatti, S, Salomaa, V, Samani, N, Snieder, H, Sørensen, T, Spector, T, Stefansson, K, Tönjes, A, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, van der Harst, P, Vollenweider, P, Wallaschofski, H, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Abecasis, G, Assimes, T, Barroso, I, Boehnke, M, Borecki, I, Deloukas, P, Fox, C, Frayling, T, Groop, L, Haritunian, T, Heid, I, Hunter, D, Kaplan, R, Karpe, F, Moffatt, M, Mohlke, K, O'Connell, J, Pawitan, Y, Schadt, E, Schlessinger, D, Steinthorsdottir, V, Strachan, D, Thorsteinsdottir, U, Van, D, Cm, Visscher, P, Di Blasio, A, Hirschhorn, J, Lindgren, C, Meyre, D, Scherag, A, Mccarthy, M, Speliotes, E, North, K, Loos, R, Ingelsson, E, Berndt, SI, Feitosa, MF, Justice, AE, Monda, KL, Croteau Chonka, DC, Day, FR, Jackson, AU, Randall, JC, Willer, CJ, Winkler, TW, Wood, AR, Hu, YJ, Lee, SH, Lin, DY, Min, JL, Neale, BM, Bragg Gresham, JL, Hottenga, JJ, Huffman, JE, Kleber, ME, König, IR, McArdle, WL, Ngwa, JS, Nolte, IM, Peters, MJ, Rose, LM, Smith, AV, Strawbridge, RJ, Trip, MD, Van Vliet Ostaptchouk, JV, Waite, LL, Zhao, JH, Asselbergs, FW, Attwood, AP, Balmforth, AJ, Bonnycastle, LL, Chasman, DI, Chines, PS, Collins, FS, Connell, JM, Cookson, WO, de, Faire, U, de, Evans, DM, Ferrario, MM, Gejman, PV, Hall, AS, Hartikainen, AL, Heard Costa, NL, Heath, AC, Hu, FB, Hunt, SE, Jacobs, KB, Jansson, JO, Khaw, KT, Kraja, AT, Laitinen, JH, Lakka, TA, Launer, LJ, Lokki, ML, Madden, PA, Magnusson, PK, McKnight, B, Medland, SE, Montgomery, GW, Mühleisen, TW, Munroe, PB, Musk, AW, Nohr, EA, Ong, KK, Oostra, BA, Palmer, CN, Peden, JF, Pramstaller, PP, Saaristo, TE, Sambrook, JG, Sanders, AR, Shin, SY, Stephens, JC, Stolk, RP, Swift, AJ, Theodoraki, EV, Tregouet, DA, Van der Klauw, MM, van Meurs, JB, Vermeulen, SH, Wild, SH, Winkelmann, BR, Witteman, JC, Wolffenbuttel, BH, Wright, AF, Zillikens, MC, Boehm, BO, Boomsma, DI, Caulfield, MJ, Chanock, SJ, Cupples, LA, Dedoussis, GV, Eriksson, JG, Franks, PW, Harris, TB, Hicks, AA, Hovingh, KG, Jarvelin, MR, Jöckel, KH, Keinanen Kiukaanniemi, SM, Kiemeney, LA, Levinson, DF, Martin, NG, Morris, AD, Nieminen, MS, Oldehinkel, AJ, Ouwehand, WH, Palmer, LJ, Province, MA, Psaty, BM, Ridker, PM, Samani, NJ, Sørensen, TI, Spector, TD, Uitterlinden, AG, Wareham, NJ, Wichmann, HE, Wilson, JF, Abecasis, GR, Assimes, TL, Borecki, IB, Fox, CS, Groop, LC, Heid, IM, Kaplan, RC, Moffatt, MF, Mohlke, KL, O'Connell, JR, Schadt, EE, Strachan, DP, van, Duijn, CM, Visscher, PM, Di Blasio, AM, Hirschhorn, JN, Lindgren, CM, Morris, AP, McCarthy, MI, Speliotes, EK, North, KE, Loos, RJ, Ingelsson, E., and BRAMBILLA, PAOLO
- Abstract
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups
- Published
- 2013
12. Arterial stiffness is increased in families with premature coronary artery disease.
- Author
-
Mulders TA, van den Bogaard B, Bakker A, Trip MD, Stroes ES, van den Born BJ, and Pinto-Sietsma SJ
- Abstract
Objective A positive family history of premature coronary artery disease (CAD) is a risk factor for cardiovascular disease (CVD), independent of traditional risk factors. Therefore, currently used risk algorithms poorly predict risk in these individuals. Novel methods are thus needed to assess cardiovascular risk. Pulse-wave velocity (PWV) might be such a method, but it is unknown whether PWV is increased in first-degree relatives of patients with premature CAD. Design Observational case-control study. Setting Academic hospital. Patients Patients with premature CAD and a positive family history of premature CVD (n=50), their first-degree relatives without CVD (n=50) and unrelated controls (n=50). Interventions None. Main Outcome Measures PWV was measured with using an Arteriograph system. Differences in PWV were assessed by a generalised linear model and multinomial logistic regression. Results Patients with premature CAD had a higher PWV compared with first-degree relatives and controls (9.69±2.90 m/s vs 8.15±1.96 m/s and 7.38±1.08 m/s; p<0.05 patients vs all groups). Linear regression showed all groups related to PWV, with patients having the highest PWV and controls the lowest (p<0.0001). Furthermore, PWV was associated with first-degree relatives (OR 1.32, 95% CI 1.02 to 1.72; p<0.05) and premature CAD (OR 1.72, 95% CI 1.32 to 2.24; p<0.05) compared with controls. These findings were independent of blood pressure and other traditional risk factors. Conclusions Patients with premature CAD and their first-degree relatives had higher PWV compared with controls, independent of other risk factors. This holds promise for the future, in which arterial stiffness might play a role in risk prediction within families with premature CAD. [ABSTRACT FROM AUTHOR]
- Published
- 2012
13. ACAT inhibition and progression of carotid atherosclerosis in patients with familial hypercholesterolemia: the CAPTIVATE randomized trial.
- Author
-
Meuwese MC, de Groot E, Duivenvoorden R, Trip MD, Ose L, Maritz FJ, Basart DC, Kastelein JJ, Habib R, Davidson MH, Zwinderman AH, Schwocho LR, Stein EA, CAPTIVATE Investigators, Meuwese, Marijn C, de Groot, Eric, Duivenvoorden, Raphaël, Trip, Mieke D, Ose, Leiv, and Maritz, Frans J
- Abstract
Context: Inhibition of acyl coenzyme A:cholesterol acyltransferase (ACAT), an intracellular enzyme involved in cholesterol accumulation, with pactimibe was developed to assist in the prevention of cardiovascular disease.Objective: To evaluate the efficacy and safety of pactimibe in inhibition of atherosclerosis.Design, Setting, and Patients: A prospective, randomized, stratified, double-blind, placebo-controlled study (Carotid Atherosclerosis Progression Trial Investigating Vascular ACAT Inhibition Treatment Effects [CAPTIVATE]) of 892 patients heterozygous for familial hypercholesterolemia conducted at 40 lipid clinics in the United States, Canada, Europe, South Africa, and Israel between February 1, 2004, and December 31, 2005. Study was terminated on October 26, 2005.Intervention: Participants received either 100 mg/d of pactimibe (n = 443) or matching placebo (n = 438), in addition to standard lipid-lowering therapy.Main Outcome Measures: Carotid atherosclerosis, assessed by ultrasound carotid intima-media thickness (CIMT), at baseline, 12, 18, and 24 months. Maximum CIMT was the primary end point and mean CIMT the secondary end point.Results: Because pactimibe failed to show efficacy in the intravascular coronary ultrasound ACTIVATE study, the CAPTIVATE study was terminated prematurely after a follow-up of 15 months. After 6 months of treatment with pactimibe, low-density lipoprotein cholesterol increased by 7.3% (SD, 23%) compared with 1.4% (SD, 28%) in the placebo group (P = .001). The carotid ultrasonographic scans of the 716 patients with at least 2 scans and obtained at least 40 weeks apart were analyzed. Maximum CIMT measurements did not show a pactimibe treatment effect (difference, 0.004 mm; 95% confidence interval [CI], -0.023 to 0.015 mm; P = .64); however, the less variable mean CIMT measurement revealed an increase of 0.014 mm (95% CI, -0.027 to 0.000 mm; P = .04) in patients administered pactimibe vs placebo. Major cardiovascular events (cardiovascular death, myocardial infarction, and stroke) occurred more often in patients administered pactimibe vs placebo (10/443 [2.3%] vs 1/438 [0.2%]; P = .01).Conclusions: In patients with familial hypercholesterolemia, pactimibe had no effect on atherosclerosis as assessed by changes in maximum CIMT compared with placebo but was associated with an increase in mean CIMT as well as increased incidence of major cardiovascular events.Trial Registration: clinicaltrials.gov Identifier: NCT00151788. [ABSTRACT FROM AUTHOR]- Published
- 2009
- Full Text
- View/download PDF
14. Abnormalities in liver function and coagulation profile following the Fontan procedure.
- Author
-
van Nieuwenhuizen RC, Peters M, Lubbers LJ, Trip MD, Tijssen JGP, Mulder BJM, van Nieuwenhuizen, R C, Peters, M, Lubbers, L J, Trip, M D, Tijssen, J G, and Mulder, B J
- Abstract
Objective: To investigate liver function and coagulation disorders in patients with a Fontan circulation at different time intervals after surgery.Design: Retrospective analysis of clinical data and cross sectional study relating liver function and coagulation profile to time since surgery, in 28 surviving patients after the modified Fontan procedure.Patients: 20 patients (71%) with atriopulmonary anastomosis, seven (25%) with atrioventricular anastomosis, and one (4%) with total cavopulmonary connection. Follow up ranged from 2.0 to 21.8 years (mean 11.1).Results: Abnormal liver function tests, mainly reflecting cholestasis, were present in 21 patients who had a significantly longer follow up (p < 0.01). Protein synthesis was normal in almost all patients. Coagulation profile showed abnormalities in 22 patients. "Procoagulant" abnormalities-that is, decreased plasminogen and protein C activity-were found in 11 and five patients, respectively. The extent of these abnormalities was less in patients with a longer follow up. Anticoagulant abnormalities were factor V deficiency in 16 patients and factor VII deficiency in 17, resulting in a prolonged prothrombin time in 19 patients. Thirteen patients had both pro- and anticoagulant abnormalities. A prethrombotic state was present in five patients, with a significantly longer mean time interval since surgery (p = 0.05). Thus, although the individual procoagulant indices decreased with increasing time intervals since surgery, a prethrombotic state was found particularly in patients with a long term follow up.Conclusions: Mild cholestasis was mainly present in Fontan patients with a long duration of follow up. Along with laboratory procoagulant abnormalities indicating a prethrombotic state, anticoagulant abnormalities were also present. The coagulation profile varied at different time intervals after surgery. Thus detailed evaluation should be performed regularly, and the use of anticoagulants should be considered in every patient. Long term prospective studies are needed to evaluate the individual fluctuations of coagulation profile over time following a Fontan procedure. [ABSTRACT FROM AUTHOR]- Published
- 1999
15. Letter to the editor. Lipoprotein (a) and risk of cardiovascular disease in patients with metabolic syndrome in a population of familial hypercholesterolaemia.
- Author
-
Rana JS, Jansen AC, Zwinderman AH, van Aalst-Cohen ES, Jukema JW, Trip MD, and Kastelein JJP
- Published
- 2006
- Full Text
- View/download PDF
16. Colesevelam added to combination therapy with a statin and ezetimibe in patients with familial hypercholesterolemia: a 12-week, multicenter, randomized, double-blind, controlled trial.
- Author
-
Huijgen R, Abbink EJ, Bruckert E, Stalenhoef AFH, Imholz BPM, Durrington PN, Trip MD, Eriksson M, Visseren FLJ, Schaefer JR, Kastelein JJP, and Triple Study Group
- Abstract
BACKGROUND: Familial hypercholesterolemia (FH) has been associated with increased cardiovascular risk when untreated or when normal LDL-C concentrations are not reached. Some patients with FH do not reach LDL-C goals despite intensive combination therapy. OBJECTIVE: This study assessed the efficacy and tolerability of colesevelam added to maximally tolerated, stable-dose combination treatment with a statin + ezetimibe. METHODS: This Phase IV, multicenter, randomized, double-blind, placebo-controlled trial enrolled patients aged 18 to 75 years with FH and an LDL-C concentration >2.5 mmol/L who were receiving a maximally tolerated and stable regimen of a statin + ezetimibe. Patients were randomly assigned to receive colesevelam 3.75 g/d or placebo added to the statin + ezetimibe for 12 weeks. The primary efficacy outcome was the difference in LDL-C between the colesevelam and placebo groups after 6 weeks. Secondary efficacy outcomes were between-group differences in LDL-C, total cholesterol (TC), HDL-C, triglyceride (Tg), apolipoprotein (apo) B, and apoA-I concentrations, as well as apoB/apoA-I ratio after 12 weeks. Tolerability was assessed based on the prevalences of adverse events by organ system class in each treatment group. RESULTS: Eighty-six patients were randomized (45 colesevelam, 41 placebo), of whom 84 (44 colesevelam, 40 placebo) were included in the primary analysis. The mean (SD) age of the participants was 52.8 (10.8) years, and 51 (59%) were men. The difference (95% CI) in LDL-C between colesevelam and placebo after 6 weeks was -18.5% (-25.3 to -11.8). Between-group differences in LDL-C, TC, HDL-C, Tg, and apoB/apoA-I ratio after 12 weeks were -12.0% (-17.8 to -6.3), -7.3% (-12.0 to -2.6), +3.3% (-2.4 to +9.0), +2.8% (-10.4 to +15.9), and -12.2% (-20.2 to -4.2), respectively. Colesevelam was generally well tolerated, with gastrointestinal adverse events in 12 of 45 patients (27%) versus 7 of 40 (18%) in the placebo group (P = NS). CONCLUSION: In these patients with FH, colesevelam added to a combination of a statin + ezetimibe was associated with significantly improved LDL-C concentrations compared with placebo during the 12-week study period and was generally well tolerated. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF
17. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
- Author
-
Zhaoming Wang, André Scherag, James F. Wilson, Nancy L. Heard-Costa, Ingrid B. Borecki, Sang Hong Lee, Veronique Vitart, Zoltán Kutalik, Jeffrey R. O'Connell, Mieke D. Trip, Lu Qi, Peter Vollenweider, Jennifer L. Bragg-Gresham, Davide Gentilini, Kees Hovingh, Lynda M. Rose, Carolin Pütter, Martin Farrall, Albert V. Smith, Nicholas G. Martin, Tõnu Esko, David J. Hunter, Georg Homuth, Liming Liang, Yudi Pawitan, Winfried März, George Dedoussis, Irene Mateo Leach, Nicholas J. Wareham, Lars Lind, Thomas Illig, Andrew P. Morris, Daniele Cusi, Jouke-Jan Hottenga, Tove Fall, Themistocles L. Assimes, Massimo Mangino, Dmitry Shungin, Kari Stefansson, Anne U. Jackson, Inês Barroso, Sarah E. Medland, Lude Franke, Karen L. Mohlke, Folkert W. Asselbergs, Sarah E. Hunt, Gudmar Thorleifsson, Pablo V. Gejman, Serena Sanna, Mark I. McCarthy, David M. Evans, Joel N. Hirschhorn, Alan F. Wright, Sarah H. Wild, Patricia B. Munroe, Marcel Bruinenberg, Gonneke Willemsen, Ulf de Faire, Markku Laakso, Marja-Liisa Lokki, Andrew C. Heath, Jing Hua Zhao, Lavinia Paternoster, Jana V. van Vliet-Ostaptchouk, Sailaja Vedantam, Danyu Lin, Eric E. Schadt, Stefano Signorini, Harald Grallert, Tsegaselassie Workalemahu, Jonathan Tyrer, Albert Hofman, George Nicholson, Patrik K. E. Magnusson, Arthur W. Musk, Jian Yang, Vilmundur Gudnason, Robert C. Kaplan, Panos Deloukas, Nilesh J. Samani, Inke R. König, Frank B. Hu, Paul M. Ridker, Tamara B. Harris, Bruce H. R. Wolffenbuttel, Ellen A. Nohr, Sarah Edkins, Lambertus A. Kiemeney, Anke Hinney, Eric Boerwinkle, Klaus Stark, Ben A. Oostra, Barbara Thorand, Unnur Thorsteinsdottir, Meena Kumari, Evelin Mihailov, Caroline S. Fox, Michael Boehnke, Aroon D. Hingorani, Jonathan Stephens, Kathleen Stirrups, Inga Prokopenko, Anke Tönjes, Lili Milani, John Beilby, Carlos Iribarren, Kari E. North, Cécile Lecoeur, So-Youn Shin, Marjo-Riitta Järvelin, Matti Uusitupa, Åsa Johansson, Nancy L. Pedersen, Krista Fischer, Fernando Rivadeneira, Wolfgang Koenig, Fredrik Karpe, Antti Jula, Lindsay L. Waite, Gérard Waeber, Mustafa Atalay, Heribert Schunkert, Narisu Narisu, Sita H. Vermeulen, Bernhard R. Winkelmann, Guo Li, Anders Hamsten, Elizabeth K. Speliotes, Ivonne Jarick, Sirkka Keinänen-Kiukaanniemi, L. Adrienne Cupples, Ruth J. F. Loos, Martina Müller-Nurasyid, David-Alexandre Trégouët, Claudia Langenberg, Willem H. Ouwehand, Julius S. Ngwa, Jennifer E. Huffman, H-Erich Wichmann, Amy J. Swift, Marco M Ferrario, Leif Groop, Henrik Grönberg, Peter M. Visscher, Claes Ohlsson, Markku S. Nieminen, Aparna Radhakrishnan, Harold Snieder, Devin Absher, Albertine J. Oldehinkel, Erik Ingelsson, Anna Maria Di Blasio, M. Carola Zillikens, Veikko Salomaa, Colin N. A. Palmer, Lori L. Bonnycastle, Teresa Ferreira, Ronald P. Stolk, Annette Peters, Philippe Froguel, Michael Stumvoll, David Schlessinger, Maria Dimitriou, Timo Saaristo, Cristen J. Willer, Jarmo Virtamo, Jorma Viikari, Alena Stančáková, Mika Kivimäki, Paolo Brambilla, Jaakko Tuomilehto, Dorret I. Boomsma, Harry Campbell, Jianjun Liu, Daniel I. Chasman, Gonçalo R. Abecasis, Ilja M. Nolte, Karl-Heinz Jöckel, Reedik Mägi, Pamela A. F. Madden, Jaana Laitinen, Sonja I. Berndt, Frank Kee, Marcus E. Kleber, Jacqueline C.M. Witteman, Jouko Saramies, Francis S. Collins, Johan G. Eriksson, Melanie M. van der Klauw, Yi-Juan Hu, John F. Peden, Markus Perola, Henri Wallaschofski, Jean Ferrières, Elena Tremoli, Marjolein J. Peters, Olli T. Raitakari, Claudia Lamina, Sekar Kathiresan, Mary F. Feitosa, Diana Kuh, Tim D. Spector, Paul W. Franks, Gerjan Navis, Martin den Heijer, Christian Gieger, Kevin B. Jacobs, Andrea Ganna, Timothy M. Frayling, Iris M. Heid, Bernhard O. Boehm, Eleanor Wheeler, Sonali Pechlivanis, Miriam F. Moffatt, Brenda W.J.H. Penninx, Anna-Liisa Hartikainen, Augusto Rendon, Stefan Schreiber, Stephen J. Chanock, Andrew R. Wood, Jianxin Shi, Najaf Amin, Lenore J. Launer, Michael A. Province, Jeanette Erdmann, Mattias Lorentzon, Hugh Watkins, Johanna Kuusisto, John-Olov Jansson, David P. Strachan, Anne E. Justice, Toby Johnson, Cornelia M. van Duijn, Niina Eklund, Samuli Ripatti, Aarno Palotie, Aldi T. Kraja, Michael Preuss, Rona J. Strawbridge, Ozren Polasek, Elisabeth Widen, Barbara McKnight, Mariano Dei, Vincent Mooser, Josine L. Min, Caroline Hayward, Mika Kähönen, Peter P. Pramstaller, Femmie de Vegt, Rainer Rauramaa, Douglas F. Levinson, Diana Marek, Antonio Liuzzi, Stefan Gustafsson, Andrew A. Hicks, Gemma Cadby, Damien C. Croteau-Chonka, Mark J. Caulfield, Boris Skrobek, Lyle J. Palmer, Alexander Teumer, Ken K. Ong, Ulf Gyllensten, Anneli Pouta, Anuj Goel, Eva Albrecht, Kristian Hveem, Inger Njølstad, David Meyre, Ida Surakka, Francesca Frau, Paolo Manunta, Sabine Schipf, Carolina Medina-Gomez, Kay-Tee Khaw, Alan R. Sanders, Thorkild I. A. Sørensen, André G. Uitterlinden, Alistair S. Hall, Felix R. Day, Karol Estrada, Jennifer G. Sambrook, Eirini V. Theodoraki, Valgerdur Steinthorsdottir, Cecilia M. Lindgren, Talin Haritunian, Benjamin M. Neale, Juha Sinisalo, Kati Kristiansson, Thomas W. Winkler, Pim van der Harst, Peter S. Chines, Joyce B. J. van Meurs, Wendy L. McArdle, Andrew Wong, Grant W. Montgomery, Terho Lehtimäki, Igor Rudan, Keri L. Monda, John M. C. Connell, Jian'an Luan, Per Hall, Joshua C. Randall, Anthony J. Balmforth, Chris Power, Philippe Amouyel, Andres Metspalu, Johannes Hebebrand, Andrew D. Morris, Jaana Lindström, Liesbeth Vandenput, William O.C.M. Cookson, Hanneke Basart, Stavroula Kanoni, Elina Hyppönen, Christian Hengstenberg, Thomas W. Mühleisen, Kari Kuulasmaa, Timo A. Lakka, Nicole Soranzo, Bruce M. Psaty, Antony P. Attwood, Epidemiology, Clinical Genetics, Surgery, Erasmus School of Social and Behavioural Sciences, Public Health, Internal Medicine, Immunology, Child and Adolescent Psychiatry / Psychology, Internal medicine, Psychiatry, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Other departments, Vascular Medicine, Biological Psychology, Cognitive Psychology, AIMMS, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Berndt, S, Gustafsson, S, Mägi, R, Ganna, A, Wheeler, E, Feitosa, M, Justice, A, Monda, K, Croteau Chonka, D, Day, F, Esko, T, Fall, T, Ferreira, T, Gentilini, D, Jackson, A, Luan, J, Randall, J, Vedantam, S, Willer, C, Winkler, T, Wood, A, Workalemahu, T, Hu, Y, Lee, S, Liang, L, Lin, D, Min, J, Neale, B, Thorleifsson, G, Yang, J, Albrecht, E, Amin, N, Bragg Gresham, J, Cadby, G, den Heijer, M, Eklund, N, Fischer, K, Goel, A, Hottenga, J, Huffman, J, Jarick, I, Johansson, Å, Johnson, T, Kanoni, S, Kleber, M, König, I, Kristiansson, K, Kutalik, Z, Lamina, C, Lecoeur, C, Li, G, Mangino, M, Mcardle, W, Medina Gomez, C, Müller Nurasyid, M, Ngwa, J, Nolte, I, Paternoster, L, Pechlivanis, S, Perola, M, Peters, M, Preuss, M, Rose, L, Shi, J, Shungin, D, Smith, A, Strawbridge, R, Surakka, I, Teumer, A, Trip, M, Tyrer, J, Van Vliet Ostaptchouk, J, Vandenput, L, Waite, L, Zhao, J, Absher, D, Asselbergs, F, Atalay, M, Attwood, A, Balmforth, A, Basart, H, Beilby, J, Bonnycastle, L, Brambilla, P, Bruinenberg, M, Campbell, H, Chasman, D, Chines, P, Collins, F, Connell, J, Cookson, W, De, F, U, D, Vegt, F, Dei, M, Dimitriou, M, Edkins, S, Estrada, K, Evans, D, Farrall, M, Ferrario, M, Ferrières, J, Franke, L, Frau, F, Gejman, P, Grallert, H, Grönberg, H, Gudnason, V, Hall, A, Hall, P, Hartikainen, A, Hayward, C, Heard Costa, N, Heath, A, Hebebrand, J, Homuth, G, Hu, F, Hunt, S, Hyppönen, E, Iribarren, C, Jacobs, K, Jansson, J, Jula, A, Kähönen, M, Kathiresan, S, Kee, F, Khaw, K, Kivimäki, M, Koenig, W, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Laitinen, J, Lakka, T, Langenberg, C, Launer, L, Lind, L, Lindström, J, Liu, J, Liuzzi, A, Lokki, M, Lorentzon, M, Madden, P, Magnusson, P, Manunta, P, Marek, D, März, W, Mateo Leach, I, Mcknight, B, Medland, S, Mihailov, E, Milani, L, Montgomery, G, Mooser, V, Mühleisen, T, Munroe, P, Musk, A, Narisu, N, Navis, G, Nicholson, G, Nohr, E, Ong, K, Oostra, B, Palmer, C, Palotie, A, Peden, J, Pedersen, N, Peters, A, Polasek, O, Pouta, A, Pramstaller, P, Prokopenko, I, Pütter, C, Radhakrishnan, A, Raitakari, O, Rendon, A, Rivadeneira, F, Rudan, I, Saaristo, T, Sambrook, J, Sanders, A, Sanna, S, Saramies, J, Schipf, S, Schreiber, S, Schunkert, H, Shin, S, Signorini, S, Sinisalo, J, Skrobek, B, Soranzo, N, Stančáková, A, Stark, K, Stephens, J, Stirrups, K, Stolk, R, Stumvoll, M, Swift, A, Theodoraki, E, Thorand, B, Tregouet, D, Tremoli, E, Van der Klauw, M, van Meurs, J, Vermeulen, S, Viikari, J, Virtamo, J, Vitart, V, Waeber, G, Wang, Z, Widén, E, Wild, S, Willemsen, G, Winkelmann, B, Witteman, J, Wolffenbuttel, B, Wong, A, Wright, A, Zillikens, M, Amouyel, P, Boehm, B, Boerwinkle, E, Boomsma, D, Caulfield, M, Chanock, S, Cupples, L, Cusi, D, Dedoussis, G, Erdmann, J, Eriksson, J, Franks, P, Froguel, P, Gieger, C, Gyllensten, U, Hamsten, A, Harris, T, Hengstenberg, C, Hicks, A, Hingorani, A, Hinney, A, Hofman, A, Hovingh, K, Hveem, K, Illig, T, Jarvelin, M, Jöckel, K, Keinanen Kiukaanniemi, S, Kiemeney, L, Kuh, D, Laakso, M, Lehtimäki, T, Levinson, D, Martin, N, Metspalu, A, Morris, A, Nieminen, M, Njølstad, I, Ohlsson, C, Oldehinkel, A, Ouwehand, W, Palmer, L, Penninx, B, Power, C, Province, M, Psaty, B, Qi, L, Rauramaa, R, Ridker, P, Ripatti, S, Salomaa, V, Samani, N, Snieder, H, Sørensen, T, Spector, T, Stefansson, K, Tönjes, A, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, van der Harst, P, Vollenweider, P, Wallaschofski, H, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Abecasis, G, Assimes, T, Barroso, I, Boehnke, M, Borecki, I, Deloukas, P, Fox, C, Frayling, T, Groop, L, Haritunian, T, Heid, I, Hunter, D, Kaplan, R, Karpe, F, Moffatt, M, Mohlke, K, O'Connell, J, Pawitan, Y, Schadt, E, Schlessinger, D, Steinthorsdottir, V, Strachan, D, Thorsteinsdottir, U, Van, D, Cm, Visscher, P, Di Blasio, A, Hirschhorn, J, Lindgren, C, Meyre, D, Scherag, A, Mccarthy, M, Speliotes, E, North, K, Loos, R, Ingelsson, E, Life Course Epidemiology (LCE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Medical Research Council (MRC), Berndt, Sonja I, Gustafsson, Stefan, Mägi, Reedik, Ganna, Andrea, Lee, Sang Hong, Hyppönen, Elina Tuulikki, Ingelsson, Erik, Berndt, Si, Feitosa, Mf, Justice, Ae, Monda, Kl, CROTEAU CHONKA, Dc, Day, Fr, Jackson, Au, Randall, Jc, Willer, Cj, Winkler, Tw, Wood, Ar, Hu, Yj, Lee, Sh, Lin, Dy, Min, Jl, Neale, Bm, BRAGG GRESHAM, Jl, DEN HEIJER, M, Hottenga, Jj, Huffman, Je, Johansson, A, Kleber, Me, König, Ir, Mcardle, Wl, MEDINA GOMEZ, C, MÜLLER NURASYID, M, Nolte, Im, Peters, Mj, Rose, Lm, Smith, Av, Strawbridge, Rj, Trip, Md, VAN VLIET OSTAPTCHOUK, Jv, Waite, Ll, Zhao, Jh, Asselbergs, Fw, Attwood, Ap, Balmforth, Aj, Bonnycastle, Ll, Chasman, Di, Connell, Jm, Cookson, Wo, DE FAIRE, U, DE VEGT, F, Evans, Dm, Ferrario, Mm, Gejman, Pv, Hartikainen, Al, HEARD COSTA, Nl, Heath, Ac, Hu, Fb, Hunt, Se, Jacobs, Kb, Jansson, Jo, Khaw, Kt, Kraja, At, Laitinen, Jh, Lakka, Ta, Launer, Lj, Lokki, Ml, Madden, Pa, Magnusson, Pk, Manunta, Paolo, MATEO LEACH, I, Medland, Se, Montgomery, Gw, Mühleisen, Tw, Munroe, Pb, Musk, Aw, Nohr, Ea, Ong, Kk, Oostra, Ba, Palmer, Cn, Peden, Jf, Pramstaller, Pp, Saaristo, Te, Sambrook, Jg, Sanders, Ar, Shin, Sy, Stephens, Jc, Stolk, Rp, Swift, Aj, Theodoraki, Ev, Tregouet, Da, VAN DER KLAUW, Mm, VAN MEURS, Jb, Vermeulen, Sh, Wild, Sh, Winkelmann, Br, Witteman, Jc, Wolffenbuttel, Bh, Wright, Af, Zillikens, Mc, Boehm, Bo, Boomsma, Di, Caulfield, Mj, Chanock, Sj, Cupples, La, Dedoussis, Gv, Eriksson, Jg, Franks, Pw, Harris, Tb, Hicks, Aa, Hovingh, Kg, Jarvelin, Mr, Jöckel, Kh, KEINANEN KIUKAANNIEMI, Sm, Kiemeney, La, Levinson, Df, Martin, Ng, Morris, Ad, Oldehinkel, Aj, Ouwehand, Wh, Palmer, Lj, Province, Ma, Psaty, Bm, Ridker, Pm, Samani, Nj, Sørensen, Ti, Spector, Td, Uitterlinden, Ag, VAN DER HARST, P, Wareham, Nj, Wichmann, He, Wilson, Jf, Abecasis, Gr, Assimes, Tl, Borecki, Ib, Groop, Lc, Heid, Im, Kaplan, Rc, Moffatt, Mf, Mohlke, Kl, O'Connell, Jr, Schadt, Ee, Strachan, Dp, VAN DUIJN, Cm, Visscher, Pm, DI BLASIO, Am, Hirschhorn, Jn, Lindgren, Cm, Morris, Ap, Mccarthy, Mi, Speliotes, Ek, North, Ke, Loos, Rj, and Ingelsson, E.
- Subjects
Netherlands Twin Register (NTR) ,Linkage disequilibrium ,SORTILIN ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Medizin ,Genome-wide association study ,Aetiology, screening and detection [ONCOL 5] ,polymorphism ,Body Mass Index ,0302 clinical medicine ,Missing heritability problem ,MISSING HERITABILITY ,EXTREME OBESITY ,CONFER RISK ,POPULATION ,Genetics & Heredity ,2. Zero hunger ,Genetics ,Medical And Health Sciences ,0303 health sciences ,education.field_of_study ,Anthropometry ,COMMON VARIANTS ,Single Nucleotide ,ASSOCIATION ,Biological Sciences ,Anthropometry, Body Height ,genetics, Body Mass Index, Case-Control Studies, European Continental Ancestry Group ,genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Obesity ,genetics, Phenotype, Polymorphism ,genetics, Quantitative Trait Loci, Waist-Hip Ratio ,Phenotype ,Life Sciences & Biomedicine ,EXPRESSION ,Genotype ,Missing heritabillity ,Population ,European Continental Ancestry Group ,Quantitative Trait Loci ,EARLY-ONSET ,Genomics ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,Article ,White People ,Molecular epidemiology [NCEBP 1] ,03 medical and health sciences ,Meta-Analysis as Topic ,SDG 3 - Good Health and Well-being ,Humans ,Genetic Predisposition to Disease ,Obesity ,body height/genetics ,Polymorphism ,Allele ,Genetik ,education ,Molecular epidemiology Aetiology, screening and detection [NCEBP 1] ,030304 developmental biology ,Science & Technology ,Waist-Hip Ratio ,BMI, height, WHR, obesity, GWS ,ta3121 ,Genetic architecture ,Body Height ,BODY-MASS INDEX ,Case-Control Studies ,gene ,stature ,height ,030217 neurology & neurosurgery ,Developmental Biology ,Genome-Wide Association Study - Abstract
Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups. © 2013 Nature America, Inc. All rights reserved.
- Published
- 2013
- Full Text
- View/download PDF
18. A rare variant in MCF2L identified using exclusion linkage in a pedigree with premature atherosclerosis.
- Author
-
Maiwald S, Motazacker MM, van Capelleveen JC, Sivapalaratnam S, van der Wal AC, van der Loos C, Kastelein JJ, Ouwehand WH, Hovingh GK, Trip MD, van Buul JD, and Dallinga-Thie GM
- Subjects
- Adult, Age of Onset, Atherosclerosis metabolism, Atherosclerosis pathology, Base Sequence, Cohort Studies, Female, Gene Expression Regulation, Genetic Linkage, HeLa Cells, Humans, Male, Middle Aged, Molecular Sequence Data, Pedigree, Plaque, Atherosclerotic metabolism, Plaque, Atherosclerotic pathology, Plasmids chemistry, Plasmids genetics, Protein Binding, Rho Guanine Nucleotide Exchange Factors metabolism, Signal Transduction, Transfection, rac1 GTP-Binding Protein genetics, rac1 GTP-Binding Protein metabolism, rhoA GTP-Binding Protein genetics, rhoA GTP-Binding Protein metabolism, Atherosclerosis genetics, Mutation, Plaque, Atherosclerotic genetics, Rho Guanine Nucleotide Exchange Factors genetics
- Abstract
Cardiovascular disease (CVD) is a major cause of death in Western societies. CVD risk is largely genetically determined. The molecular pathology is, however, not elucidated in a large number of families suffering from CVD. We applied exclusion linkage analysis and next-generation sequencing to elucidate the molecular defect underlying premature CVD in a small pedigree, comprising two generations of which six members suffered from premature CVD. A total of three variants showed co-segregation with the disease status in the family. Two of these variants were excluded from further analysis based on the prevalence in replication cohorts, whereas a non-synonymous variant in MCF.2 Cell Line Derived Transforming Sequence-like protein (MCF2L, c.2066A>G; p.(Asp689Gly); NM_001112732.1), located in the DH domain, was only present in the studied family. MCF2L is a guanine exchange factor that potentially links pathways that signal through Rac1 and RhoA. Indeed, in HeLa cells, MCF2L689Gly failed to activate Rac1 as well as RhoA, resulting in impaired stress fiber formation. Moreover, MCF2L protein was found in human atherosclerotic lesions but not in healthy tissue segments. In conclusion, a rare functional variant in MCF2L, leading to impaired DH function, was identified in a small pedigree with premature CVD. The presence of MCF2L in human atherosclerotic plaque specimen lends further support to its potential role in atherosclerosis.
- Published
- 2016
- Full Text
- View/download PDF
19. Abnormal hemostatic parameters in patients with myocardial infarction but angiographically normal coronary arteries.
- Author
-
Maiwald S, Oey RC, Sivapalaratnam S, Bakhtiari K, Hovingh GK, Basart DC, Trip MD, and Dallinga-Thie GM
- Subjects
- Adult, Coronary Angiography, Coronary Vessels metabolism, Female, Humans, Male, Middle Aged, Thrombin metabolism, Coronary Vessels diagnostic imaging, Hemostatics blood, Myocardial Infarction blood, Myocardial Infarction diagnostic imaging
- Published
- 2014
- Full Text
- View/download PDF
20. Common genetic variants do not associate with CAD in familial hypercholesterolemia.
- Author
-
van Iperen EP, Sivapalaratnam S, Boekholdt SM, Hovingh GK, Maiwald S, Tanck MW, Soranzo N, Stephens JC, Sambrook JG, Levi M, Ouwehand WH, Kastelein JJ, Trip MD, and Zwinderman AH
- Subjects
- Aged, DNA Helicases genetics, Disease-Free Survival, Female, Gene Frequency, Genotype, Humans, Male, Middle Aged, Nuclear Proteins genetics, Proportional Hazards Models, Risk Assessment statistics & numerical data, Risk Factors, Transcription Factors genetics, Coronary Artery Disease genetics, Genetic Predisposition to Disease genetics, Hyperlipoproteinemia Type II genetics, Polymorphism, Single Nucleotide
- Abstract
In recent years, multiple loci dispersed on the genome have been shown to be associated with coronary artery disease (CAD). We investigated whether these common genetic variants also hold value for CAD prediction in a large cohort of patients with familial hypercholesterolemia (FH). We genotyped a total of 41 single-nucleotide polymorphisms (SNPs) in 1701 FH patients, of whom 482 patients (28.3%) had at least one coronary event during an average follow up of 66 years. The association of each SNP with event-free survival time was calculated with a Cox proportional hazard model. In the cardiovascular disease risk factor adjusted analysis, the most significant SNP was rs1122608:G>T in the SMARCA4 gene near the LDL-receptor (LDLR) gene, with a hazard ratio for CAD risk of 0.74 (95% CI 0.49-0.99; P-value 0.021). However, none of the SNPs reached the Bonferroni threshold. Of all the known CAD loci analyzed, the SMARCA4 locus near the LDLR had the strongest negative association with CAD in this high-risk FH cohort. The effect is contrary to what was expected. None of the other loci showed association with CAD.
- Published
- 2014
- Full Text
- View/download PDF
21. Mutation in KERA identified by linkage analysis and targeted resequencing in a pedigree with premature atherosclerosis.
- Author
-
Maiwald S, Sivapalaratnam S, Motazacker MM, van Capelleveen JC, Bot I, de Jager SC, van Eck M, Jolley J, Kuiper J, Stephens J, Albers CA, Vosmeer CR, Kruize H, Geerke DP, van der Wal AC, van der Loos CM, Kastelein JJ, Trip MD, Ouwehand WH, Dallinga-Thie GM, and Hovingh GK
- Subjects
- Aged, Animals, Apolipoproteins E deficiency, Atherosclerosis pathology, Extracellular Space metabolism, Female, Humans, Male, Mice, Middle Aged, Molecular Dynamics Simulation, Protein Conformation, Proteoglycans chemistry, Atherosclerosis genetics, DNA Mutational Analysis, Genetic Linkage, Mutation, Pedigree, Proteoglycans genetics
- Abstract
Aims: Genetic factors explain a proportion of the inter-individual variation in the risk for atherosclerotic events, but the genetic basis of atherosclerosis and atherothrombosis in families with Mendelian forms of premature atherosclerosis is incompletely understood. We set out to unravel the molecular pathology in a large kindred with an autosomal dominant inherited form of premature atherosclerosis., Methods and Results: Parametric linkage analysis was performed in a pedigree comprising 4 generations, of which a total of 11 members suffered from premature vascular events. A parametric LOD-score of 3.31 was observed for a 4.4 Mb interval on chromosome 12. Upon sequencing, a non-synonymous variant in KERA (c.920C>G; p.Ser307Cys) was identified. The variant was absent from nearly 28,000 individuals, including 2,571 patients with premature atherosclerosis. KERA, a proteoglycan protein, was expressed in lipid-rich areas of human atherosclerotic lesions, but not in healthy arterial specimens. Moreover, KERA expression in plaques was significantly associated with plaque size in a carotid-collar Apoe-/- mice (r2 = 0.69; p<0.0001)., Conclusion: A rare variant in KERA was identified in a large kindred with premature atherosclerosis. The identification of KERA in atherosclerotic plaque specimen in humans and mice lends support to its potential role in atherosclerosis.
- Published
- 2014
- Full Text
- View/download PDF
22. Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci.
- Author
-
Tragante V, Barnes MR, Ganesh SK, Lanktree MB, Guo W, Franceschini N, Smith EN, Johnson T, Holmes MV, Padmanabhan S, Karczewski KJ, Almoguera B, Barnard J, Baumert J, Chang YP, Elbers CC, Farrall M, Fischer ME, Gaunt TR, Gho JM, Gieger C, Goel A, Gong Y, Isaacs A, Kleber ME, Mateo Leach I, McDonough CW, Meijs MF, Melander O, Nelson CP, Nolte IM, Pankratz N, Price TS, Shaffer J, Shah S, Tomaszewski M, van der Most PJ, Van Iperen EP, Vonk JM, Witkowska K, Wong CO, Zhang L, Beitelshees AL, Berenson GS, Bhatt DL, Brown M, Burt A, Cooper-DeHoff RM, Connell JM, Cruickshanks KJ, Curtis SP, Davey-Smith G, Delles C, Gansevoort RT, Guo X, Haiqing S, Hastie CE, Hofker MH, Hovingh GK, Kim DS, Kirkland SA, Klein BE, Klein R, Li YR, Maiwald S, Newton-Cheh C, O'Brien ET, Onland-Moret NC, Palmas W, Parsa A, Penninx BW, Pettinger M, Vasan RS, Ranchalis JE, M Ridker P, Rose LM, Sever P, Shimbo D, Steele L, Stolk RP, Thorand B, Trip MD, van Duijn CM, Verschuren WM, Wijmenga C, Wyatt S, Young JH, Zwinderman AH, Bezzina CR, Boerwinkle E, Casas JP, Caulfield MJ, Chakravarti A, Chasman DI, Davidson KW, Doevendans PA, Dominiczak AF, FitzGerald GA, Gums JG, Fornage M, Hakonarson H, Halder I, Hillege HL, Illig T, Jarvik GP, Johnson JA, Kastelein JJ, Koenig W, Kumari M, März W, Murray SS, O'Connell JR, Oldehinkel AJ, Pankow JS, Rader DJ, Redline S, Reilly MP, Schadt EE, Kottke-Marchant K, Snieder H, Snyder M, Stanton AV, Tobin MD, Uitterlinden AG, van der Harst P, van der Schouw YT, Samani NJ, Watkins H, Johnson AD, Reiner AP, Zhu X, de Bakker PI, Levy D, Asselbergs FW, Munroe PB, and Keating BJ
- Subjects
- Arterial Pressure, Computational Biology methods, Europe, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Phenotype, Polymorphism, Single Nucleotide, Quality Control, Quantitative Trait Loci, Risk Factors, Blood Pressure, Diastole, Genetics, Population, Systole, White People genetics
- Abstract
Blood pressure (BP) is a heritable risk factor for cardiovascular disease. To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP), we genotyped ~50,000 SNPs in up to 87,736 individuals of European ancestry and combined these in a meta-analysis. We replicated findings in an independent set of 68,368 individuals of European ancestry. Our analyses identified 11 previously undescribed associations in independent loci containing 31 genes including PDE1A, HLA-DQB1, CDK6, PRKAG2, VCL, H19, NUCB2, RELA, HOXC@ complex, FBN1, and NFAT5 at the Bonferroni-corrected array-wide significance threshold (p < 6 × 10(-7)) and confirmed 27 previously reported associations. Bioinformatic analysis of the 11 loci provided support for a putative role in hypertension of several genes, such as CDK6 and NUCB2. Analysis of potential pharmacological targets in databases of small molecules showed that ten of the genes are predicted to be a target for small molecules. In summary, we identified previously unknown loci associated with BP. Our findings extend our understanding of genes involved in BP regulation, which may provide new targets for therapeutic intervention or drug response stratification., (Copyright © 2014 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
- Published
- 2014
- Full Text
- View/download PDF
23. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
- Author
-
Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, Ferreira T, Horikoshi M, Johnson AD, Ng MC, Prokopenko I, Saleheen D, Wang X, Zeggini E, Abecasis GR, Adair LS, Almgren P, Atalay M, Aung T, Baldassarre D, Balkau B, Bao Y, Barnett AH, Barroso I, Basit A, Been LF, Beilby J, Bell GI, Benediktsson R, Bergman RN, Boehm BO, Boerwinkle E, Bonnycastle LL, Burtt N, Cai Q, Campbell H, Carey J, Cauchi S, Caulfield M, Chan JC, Chang LC, Chang TJ, Chang YC, Charpentier G, Chen CH, Chen H, Chen YT, Chia KS, Chidambaram M, Chines PS, Cho NH, Cho YM, Chuang LM, Collins FS, Cornelis MC, Couper DJ, Crenshaw AT, van Dam RM, Danesh J, Das D, de Faire U, Dedoussis G, Deloukas P, Dimas AS, Dina C, Doney AS, Donnelly PJ, Dorkhan M, van Duijn C, Dupuis J, Edkins S, Elliott P, Emilsson V, Erbel R, Eriksson JG, Escobedo J, Esko T, Eury E, Florez JC, Fontanillas P, Forouhi NG, Forsen T, Fox C, Fraser RM, Frayling TM, Froguel P, Frossard P, Gao Y, Gertow K, Gieger C, Gigante B, Grallert H, Grant GB, Grrop LC, Groves CJ, Grundberg E, Guiducci C, Hamsten A, Han BG, Hara K, Hassanali N, Hattersley AT, Hayward C, Hedman AK, Herder C, Hofman A, Holmen OL, Hovingh K, Hreidarsson AB, Hu C, Hu FB, Hui J, Humphries SE, Hunt SE, Hunter DJ, Hveem K, Hydrie ZI, Ikegami H, Illig T, Ingelsson E, Islam M, Isomaa B, Jackson AU, Jafar T, James A, Jia W, Jöckel KH, Jonsson A, Jowett JB, Kadowaki T, Kang HM, Kanoni S, Kao WH, Kathiresan S, Kato N, Katulanda P, Keinanen-Kiukaanniemi KM, Kelly AM, Khan H, Khaw KT, Khor CC, Kim HL, Kim S, Kim YJ, Kinnunen L, Klopp N, Kong A, Korpi-Hyövälti E, Kowlessur S, Kraft P, Kravic J, Kristensen MM, Krithika S, Kumar A, Kumate J, Kuusisto J, Kwak SH, Laakso M, Lagou V, Lakka TA, Langenberg C, Langford C, Lawrence R, Leander K, Lee JM, Lee NR, Li M, Li X, Li Y, Liang J, Liju S, Lim WY, Lind L, Lindgren CM, Lindholm E, Liu CT, Liu JJ, Lobbens S, Long J, Loos RJ, Lu W, Luan J, Lyssenko V, Ma RC, Maeda S, Mägi R, Männisto S, Matthews DR, Meigs JB, Melander O, Metspalu A, Meyer J, Mirza G, Mihailov E, Moebus S, Mohan V, Mohlke KL, Morris AD, Mühleisen TW, Müller-Nurasyid M, Musk B, Nakamura J, Nakashima E, Navarro P, Ng PK, Nica AC, Nilsson PM, Njølstad I, Nöthen MM, Ohnaka K, Ong TH, Owen KR, Palmer CN, Pankow JS, Park KS, Parkin M, Pechlivanis S, Pedersen NL, Peltonen L, Perry JR, Peters A, Pinidiyapathirage JM, Platou CG, Potter S, Price JF, Qi L, Radha V, Rallidis L, Rasheed A, Rathman W, Rauramaa R, Raychaudhuri S, Rayner NW, Rees SD, Rehnberg E, Ripatti S, Robertson N, Roden M, Rossin EJ, Rudan I, Rybin D, Saaristo TE, Salomaa V, Saltevo J, Samuel M, Sanghera DK, Saramies J, Scott J, Scott LJ, Scott RA, Segrè AV, Sehmi J, Sennblad B, Shah N, Shah S, Shera AS, Shu XO, Shuldiner AR, Sigurđsson G, Sijbrands E, Silveira A, Sim X, Sivapalaratnam S, Small KS, So WY, Stančáková A, Stefansson K, Steinbach G, Steinthorsdottir V, Stirrups K, Strawbridge RJ, Stringham HM, Sun Q, Suo C, Syvänen AC, Takayanagi R, Takeuchi F, Tay WT, Teslovich TM, Thorand B, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Trakalo J, Tremoli E, Trip MD, Tsai FJ, Tuomi T, Tuomilehto J, Uitterlinden AG, Valladares-Salgado A, Vedantam S, Veglia F, Voight BF, Wang C, Wareham NJ, Wennauer R, Wickremasinghe AR, Wilsgaard T, Wilson JF, Wiltshire S, Winckler W, Wong TY, Wood AR, Wu JY, Wu Y, Yamamoto K, Yamauchi T, Yang M, Yengo L, Yokota M, Young R, Zabaneh D, Zhang F, Zhang R, Zheng W, Zimmet PZ, Altshuler D, Bowden DW, Cho YS, Cox NJ, Cruz M, Hanis CL, Kooner J, Lee JY, Seielstad M, Teo YY, Boehnke M, Parra EJ, Chambers JC, Tai ES, McCarthy MI, and Morris AP
- Subjects
- Alleles, Asian People genetics, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino genetics, Humans, Polymorphism, Single Nucleotide, Risk Factors, White People genetics, Diabetes Mellitus, Type 2 genetics
- Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
- Published
- 2014
- Full Text
- View/download PDF
24. Secretory phospholipase A(2)-IIA and cardiovascular disease: a mendelian randomization study.
- Author
-
Holmes MV, Simon T, Exeter HJ, Folkersen L, Asselbergs FW, Guardiola M, Cooper JA, Palmen J, Hubacek JA, Carruthers KF, Horne BD, Brunisholz KD, Mega JL, van Iperen EPA, Li M, Leusink M, Trompet S, Verschuren JJW, Hovingh GK, Dehghan A, Nelson CP, Kotti S, Danchin N, Scholz M, Haase CL, Rothenbacher D, Swerdlow DI, Kuchenbaecker KB, Staines-Urias E, Goel A, van 't Hooft F, Gertow K, de Faire U, Panayiotou AG, Tremoli E, Baldassarre D, Veglia F, Holdt LM, Beutner F, Gansevoort RT, Navis GJ, Mateo Leach I, Breitling LP, Brenner H, Thiery J, Dallmeier D, Franco-Cereceda A, Boer JMA, Stephens JW, Hofker MH, Tedgui A, Hofman A, Uitterlinden AG, Adamkova V, Pitha J, Onland-Moret NC, Cramer MJ, Nathoe HM, Spiering W, Klungel OH, Kumari M, Whincup PH, Morrow DA, Braund PS, Hall AS, Olsson AG, Doevendans PA, Trip MD, Tobin MD, Hamsten A, Watkins H, Koenig W, Nicolaides AN, Teupser D, Day INM, Carlquist JF, Gaunt TR, Ford I, Sattar N, Tsimikas S, Schwartz GG, Lawlor DA, Morris RW, Sandhu MS, Poledne R, Maitland-van der Zee AH, Khaw KT, Keating BJ, van der Harst P, Price JF, Mehta SR, Yusuf S, Witteman JCM, Franco OH, Jukema JW, de Knijff P, Tybjaerg-Hansen A, Rader DJ, Farrall M, Samani NJ, Kivimaki M, Fox KAA, Humphries SE, Anderson JL, Boekholdt SM, Palmer TM, Eriksson P, Paré G, Hingorani AD, Sabatine MS, Mallat Z, Casas JP, and Talmud PJ
- Subjects
- Alleles, Cardiovascular Diseases enzymology, Cardiovascular Diseases epidemiology, Global Health, Humans, Incidence, Phospholipases A2, Secretory metabolism, Cardiovascular Diseases genetics, DNA genetics, Gene Expression Regulation, Mendelian Randomization Analysis methods, Phospholipases A2, Secretory genetics
- Abstract
Objectives: This study sought to investigate the role of secretory phospholipase A2 (sPLA2)-IIA in cardiovascular disease., Background: Higher circulating levels of sPLA2-IIA mass or sPLA2 enzyme activity have been associated with increased risk of cardiovascular events. However, it is not clear if this association is causal. A recent phase III clinical trial of an sPLA2 inhibitor (varespladib) was stopped prematurely for lack of efficacy., Methods: We conducted a Mendelian randomization meta-analysis of 19 general population studies (8,021 incident, 7,513 prevalent major vascular events [MVE] in 74,683 individuals) and 10 acute coronary syndrome (ACS) cohorts (2,520 recurrent MVE in 18,355 individuals) using rs11573156, a variant in PLA2G2A encoding the sPLA2-IIA isoenzyme, as an instrumental variable., Results: PLA2G2A rs11573156 C allele associated with lower circulating sPLA2-IIA mass (38% to 44%) and sPLA2 enzyme activity (3% to 23%) per C allele. The odds ratio (OR) for MVE per rs11573156 C allele was 1.02 (95% confidence interval [CI]: 0.98 to 1.06) in general populations and 0.96 (95% CI: 0.90 to 1.03) in ACS cohorts. In the general population studies, the OR derived from the genetic instrumental variable analysis for MVE for a 1-log unit lower sPLA2-IIA mass was 1.04 (95% CI: 0.96 to 1.13), and differed from the non-genetic observational estimate (OR: 0.69; 95% CI: 0.61 to 0.79). In the ACS cohorts, both the genetic instrumental variable and observational ORs showed a null association with MVE. Instrumental variable analysis failed to show associations between sPLA2 enzyme activity and MVE., Conclusions: Reducing sPLA2-IIA mass is unlikely to be a useful therapeutic goal for preventing cardiovascular events., (Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2013
- Full Text
- View/download PDF
25. Statin therapy and levels of hemostatic factors in a healthy population: the Multi-Ethnic Study of Atherosclerosis: a rebuttal.
- Author
-
Besseling J, Hutten BA, Meijers JC, Trip MD, and Hovingh GK
- Subjects
- Female, Humans, Male, Atherosclerosis blood, Cardiovascular Diseases blood, Hemostasis physiology, Hydroxymethylglutaryl-CoA Reductase Inhibitors pharmacology, Venous Thromboembolism blood
- Published
- 2013
- Full Text
- View/download PDF
26. Loci influencing blood pressure identified using a cardiovascular gene-centric array.
- Author
-
Ganesh SK, Tragante V, Guo W, Guo Y, Lanktree MB, Smith EN, Johnson T, Castillo BA, Barnard J, Baumert J, Chang YP, Elbers CC, Farrall M, Fischer ME, Franceschini N, Gaunt TR, Gho JM, Gieger C, Gong Y, Isaacs A, Kleber ME, Mateo Leach I, McDonough CW, Meijs MF, Mellander O, Molony CM, Nolte IM, Padmanabhan S, Price TS, Rajagopalan R, Shaffer J, Shah S, Shen H, Soranzo N, van der Most PJ, Van Iperen EP, Van Setten J, Vonk JM, Zhang L, Beitelshees AL, Berenson GS, Bhatt DL, Boer JM, Boerwinkle E, Burkley B, Burt A, Chakravarti A, Chen W, Cooper-Dehoff RM, Curtis SP, Dreisbach A, Duggan D, Ehret GB, Fabsitz RR, Fornage M, Fox E, Furlong CE, Gansevoort RT, Hofker MH, Hovingh GK, Kirkland SA, Kottke-Marchant K, Kutlar A, Lacroix AZ, Langaee TY, Li YR, Lin H, Liu K, Maiwald S, Malik R, Murugesan G, Newton-Cheh C, O'Connell JR, Onland-Moret NC, Ouwehand WH, Palmas W, Penninx BW, Pepine CJ, Pettinger M, Polak JF, Ramachandran VS, Ranchalis J, Redline S, Ridker PM, Rose LM, Scharnag H, Schork NJ, Shimbo D, Shuldiner AR, Srinivasan SR, Stolk RP, Taylor HA, Thorand B, Trip MD, van Duijn CM, Verschuren WM, Wijmenga C, Winkelmann BR, Wyatt S, Young JH, Boehm BO, Caulfield MJ, Chasman DI, Davidson KW, Doevendans PA, Fitzgerald GA, Gums JG, Hakonarson H, Hillege HL, Illig T, Jarvik GP, Johnson JA, Kastelein JJ, Koenig W, März W, Mitchell BD, Murray SS, Oldehinkel AJ, Rader DJ, Reilly MP, Reiner AP, Schadt EE, Silverstein RL, Snieder H, Stanton AV, Uitterlinden AG, van der Harst P, van der Schouw YT, Samani NJ, Johnson AD, Munroe PB, de Bakker PI, Zhu X, Levy D, Keating BJ, and Asselbergs FW
- Subjects
- Adult, Aged, Cardiovascular Diseases physiopathology, Cohort Studies, Female, Genetic Predisposition to Disease, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, White People genetics, Blood Pressure genetics, Cardiovascular Diseases genetics, Chromosome Mapping, Genome-Wide Association Study
- Abstract
Blood pressure (BP) is a heritable determinant of risk for cardiovascular disease (CVD). To investigate genetic associations with systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP) and pulse pressure (PP), we genotyped ∼50 000 single-nucleotide polymorphisms (SNPs) that capture variation in ∼2100 candidate genes for cardiovascular phenotypes in 61 619 individuals of European ancestry from cohort studies in the USA and Europe. We identified novel associations between rs347591 and SBP (chromosome 3p25.3, in an intron of HRH1) and between rs2169137 and DBP (chromosome1q32.1 in an intron of MDM4) and between rs2014408 and SBP (chromosome 11p15 in an intron of SOX6), previously reported to be associated with MAP. We also confirmed 10 previously known loci associated with SBP, DBP, MAP or PP (ADRB1, ATP2B1, SH2B3/ATXN2, CSK, CYP17A1, FURIN, HFE, LSP1, MTHFR, SOX6) at array-wide significance (P < 2.4 × 10(-6)). We then replicated these associations in an independent set of 65 886 individuals of European ancestry. The findings from expression QTL (eQTL) analysis showed associations of SNPs in the MDM4 region with MDM4 expression. We did not find any evidence of association of the two novel SNPs in MDM4 and HRH1 with sequelae of high BP including coronary artery disease (CAD), left ventricular hypertrophy (LVH) or stroke. In summary, we identified two novel loci associated with BP and confirmed multiple previously reported associations. Our findings extend our understanding of genes involved in BP regulation, some of which may eventually provide new targets for therapeutic intervention.
- Published
- 2013
- Full Text
- View/download PDF
27. The impact of partial and complete loss-of-function mutations in endothelial lipase on high-density lipoprotein levels and functionality in humans.
- Author
-
Singaraja RR, Sivapalaratnam S, Hovingh K, Dubé MP, Castro-Perez J, Collins HL, Adelman SJ, Riwanto M, Manz J, Hubbard B, Tietjen I, Wong K, Mitnaul LJ, van Heek M, Lin L, Roddy TA, McEwen J, Dallinge-Thie G, van Vark-van der Zee L, Verwoert G, Winther M, van Duijn C, Hofman A, Trip MD, Marais AD, Asztalos B, Landmesser U, Sijbrands E, Kastelein JJ, and Hayden MR
- Subjects
- Cohort Studies, Coronary Artery Disease metabolism, Heterozygote, Humans, Lipase metabolism, Cholesterol, HDL blood, Coronary Artery Disease enzymology, Coronary Artery Disease genetics, Lipase genetics, Mutation, Missense
- Abstract
Background: Endothelial lipase is a phospholipase with activity against high-density lipoprotein. Although a small number of mutations in LIPG have been described, the role of LIPG in protection against atherosclerosis is unclear., Methods and Results: We identified 8 loss-of-function (LOF) mutations in LIPG in individuals with high-density lipoprotein cholesterol. Functional analysis confirmed that most rare mutations abolish lipase activity in vitro, indicating complete LOF, whereas 2 more common mutations N396S and R476W reduce activity by ≈50%, indicating partial LOF and implying ≈50% and ≈75% remaining endothelial lipase function in heterozygous complete LOF and partial LOF mutation carriers, respectively. complete LOF mutation carriers had significantly higher plasma high-density lipoprotein cholesterol levels compared with partial LOF mutation carriers. Apolipoprotein B-depleted serum from complete LOF carriers showed significantly enhanced cholesterol efflux acceptor capacity, whereas only trends were observed in partial LOF carriers. Carriers of LIPG mutations exhibited trends toward reduced coronary artery disease in 4 independent cohorts (meta-analysis odds ratio, 0.7; P=0.04)., Conclusions: Our data suggest that the impact of LIPG mutations is directly related to their effect on endothelial lipase function and support that antagonism of endothelial lipase function improves cardioprotection.
- Published
- 2013
- Full Text
- View/download PDF
28. Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci.
- Author
-
Asselbergs FW, Guo Y, van Iperen EP, Sivapalaratnam S, Tragante V, Lanktree MB, Lange LA, Almoguera B, Appelman YE, Barnard J, Baumert J, Beitelshees AL, Bhangale TR, Chen YD, Gaunt TR, Gong Y, Hopewell JC, Johnson T, Kleber ME, Langaee TY, Li M, Li YR, Liu K, McDonough CW, Meijs MF, Middelberg RP, Musunuru K, Nelson CP, O'Connell JR, Padmanabhan S, Pankow JS, Pankratz N, Rafelt S, Rajagopalan R, Romaine SP, Schork NJ, Shaffer J, Shen H, Smith EN, Tischfield SE, van der Most PJ, van Vliet-Ostaptchouk JV, Verweij N, Volcik KA, Zhang L, Bailey KR, Bailey KM, Bauer F, Boer JM, Braund PS, Burt A, Burton PR, Buxbaum SG, Chen W, Cooper-Dehoff RM, Cupples LA, deJong JS, Delles C, Duggan D, Fornage M, Furlong CE, Glazer N, Gums JG, Hastie C, Holmes MV, Illig T, Kirkland SA, Kivimaki M, Klein R, Klein BE, Kooperberg C, Kottke-Marchant K, Kumari M, LaCroix AZ, Mallela L, Murugesan G, Ordovas J, Ouwehand WH, Post WS, Saxena R, Scharnagl H, Schreiner PJ, Shah T, Shields DC, Shimbo D, Srinivasan SR, Stolk RP, Swerdlow DI, Taylor HA Jr, Topol EJ, Toskala E, van Pelt JL, van Setten J, Yusuf S, Whittaker JC, Zwinderman AH, Anand SS, Balmforth AJ, Berenson GS, Bezzina CR, Boehm BO, Boerwinkle E, Casas JP, Caulfield MJ, Clarke R, Connell JM, Cruickshanks KJ, Davidson KW, Day IN, de Bakker PI, Doevendans PA, Dominiczak AF, Hall AS, Hartman CA, Hengstenberg C, Hillege HL, Hofker MH, Humphries SE, Jarvik GP, Johnson JA, Kaess BM, Kathiresan S, Koenig W, Lawlor DA, März W, Melander O, Mitchell BD, Montgomery GW, Munroe PB, Murray SS, Newhouse SJ, Onland-Moret NC, Poulter N, Psaty B, Redline S, Rich SS, Rotter JI, Schunkert H, Sever P, Shuldiner AR, Silverstein RL, Stanton A, Thorand B, Trip MD, Tsai MY, van der Harst P, van der Schoot E, van der Schouw YT, Verschuren WM, Watkins H, Wilde AA, Wolffenbuttel BH, Whitfield JB, Hovingh GK, Ballantyne CM, Wijmenga C, Reilly MP, Martin NG, Wilson JG, Rader DJ, Samani NJ, Reiner AP, Hegele RA, Kastelein JJ, Hingorani AD, Talmud PJ, Hakonarson H, Elbers CC, Keating BJ, and Drenos F
- Subjects
- Cholesterol, HDL blood, Cholesterol, HDL genetics, Cholesterol, LDL blood, Cholesterol, LDL genetics, Female, Genotype, Humans, Lipids blood, Male, Phenotype, Polymorphism, Single Nucleotide, Sex Factors, Triglycerides blood, Triglycerides genetics, White People, Genome-Wide Association Study, Lipids genetics, Quantitative Trait Loci
- Abstract
Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids., (Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
- Published
- 2012
- Full Text
- View/download PDF
29. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.
- Author
-
Morris AP, Voight BF, Teslovich TM, Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, Prokopenko I, Kang HM, Dina C, Esko T, Fraser RM, Kanoni S, Kumar A, Lagou V, Langenberg C, Luan J, Lindgren CM, Müller-Nurasyid M, Pechlivanis S, Rayner NW, Scott LJ, Wiltshire S, Yengo L, Kinnunen L, Rossin EJ, Raychaudhuri S, Johnson AD, Dimas AS, Loos RJ, Vedantam S, Chen H, Florez JC, Fox C, Liu CT, Rybin D, Couper DJ, Kao WH, Li M, Cornelis MC, Kraft P, Sun Q, van Dam RM, Stringham HM, Chines PS, Fischer K, Fontanillas P, Holmen OL, Hunt SE, Jackson AU, Kong A, Lawrence R, Meyer J, Perry JR, Platou CG, Potter S, Rehnberg E, Robertson N, Sivapalaratnam S, Stančáková A, Stirrups K, Thorleifsson G, Tikkanen E, Wood AR, Almgren P, Atalay M, Benediktsson R, Bonnycastle LL, Burtt N, Carey J, Charpentier G, Crenshaw AT, Doney AS, Dorkhan M, Edkins S, Emilsson V, Eury E, Forsen T, Gertow K, Gigante B, Grant GB, Groves CJ, Guiducci C, Herder C, Hreidarsson AB, Hui J, James A, Jonsson A, Rathmann W, Klopp N, Kravic J, Krjutškov K, Langford C, Leander K, Lindholm E, Lobbens S, Männistö S, Mirza G, Mühleisen TW, Musk B, Parkin M, Rallidis L, Saramies J, Sennblad B, Shah S, Sigurðsson G, Silveira A, Steinbach G, Thorand B, Trakalo J, Veglia F, Wennauer R, Winckler W, Zabaneh D, Campbell H, van Duijn C, Uitterlinden AG, Hofman A, Sijbrands E, Abecasis GR, Owen KR, Zeggini E, Trip MD, Forouhi NG, Syvänen AC, Eriksson JG, Peltonen L, Nöthen MM, Balkau B, Palmer CN, Lyssenko V, Tuomi T, Isomaa B, Hunter DJ, Qi L, Shuldiner AR, Roden M, Barroso I, Wilsgaard T, Beilby J, Hovingh K, Price JF, Wilson JF, Rauramaa R, Lakka TA, Lind L, Dedoussis G, Njølstad I, Pedersen NL, Khaw KT, Wareham NJ, Keinanen-Kiukaanniemi SM, Saaristo TE, Korpi-Hyövälti E, Saltevo J, Laakso M, Kuusisto J, Metspalu A, Collins FS, Mohlke KL, Bergman RN, Tuomilehto J, Boehm BO, Gieger C, Hveem K, Cauchi S, Froguel P, Baldassarre D, Tremoli E, Humphries SE, Saleheen D, Danesh J, Ingelsson E, Ripatti S, Salomaa V, Erbel R, Jöckel KH, Moebus S, Peters A, Illig T, de Faire U, Hamsten A, Morris AD, Donnelly PJ, Frayling TM, Hattersley AT, Boerwinkle E, Melander O, Kathiresan S, Nilsson PM, Deloukas P, Thorsteinsdottir U, Groop LC, Stefansson K, Hu F, Pankow JS, Dupuis J, Meigs JB, Altshuler D, Boehnke M, and McCarthy MI
- Subjects
- Case-Control Studies, Diabetes Mellitus, Type 2 epidemiology, Female, Genes physiology, Humans, Linkage Disequilibrium, Male, Pakistan epidemiology, Polymorphism, Single Nucleotide physiology, Sex Factors, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study statistics & numerical data
- Abstract
To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.
- Published
- 2012
- Full Text
- View/download PDF
30. Mipomersen, an apolipoprotein B synthesis inhibitor, lowers low-density lipoprotein cholesterol in high-risk statin-intolerant patients: a randomized, double-blind, placebo-controlled trial.
- Author
-
Visser ME, Wagener G, Baker BF, Geary RS, Donovan JM, Beuers UH, Nederveen AJ, Verheij J, Trip MD, Basart DC, Kastelein JJ, and Stroes ES
- Subjects
- Adult, Aged, Alanine Transaminase metabolism, Cardiovascular Diseases enzymology, Cardiovascular Diseases prevention & control, Double-Blind Method, Female, Humans, Hypercholesterolemia enzymology, Male, Middle Aged, Risk Factors, Treatment Outcome, Anticholesteremic Agents therapeutic use, Apolipoprotein B-100 antagonists & inhibitors, Cholesterol, LDL metabolism, Hydroxymethylglutaryl-CoA Reductase Inhibitors adverse effects, Hypercholesterolemia drug therapy, Oligonucleotides therapeutic use
- Abstract
Aims: A randomized, double-blind, placebo-controlled study was conducted to investigate the safety and efficacy of mipomersen, an apolipoprotein B-100 (apoB) synthesis inhibitor, in patients who are statin intolerant and at high risk for cardiovascular disease (CVD)., Methods and Results: Thirty-three subjects, not receiving statin therapy because of statin intolerance, received a weekly subcutaneous dose of 200 mg mipomersen or placebo (2:1 randomization) for 26 weeks. The primary endpoint was per cent change in LDL cholesterol (LDL-c) from the baseline to Week 28. The other efficacy endpoints were per cent change in apoB and lipoprotein a [Lp(a)]. Safety was determined using the incidence of treatment-emergent adverse events (AEs) and clinical laboratory evaluations. After 26 weeks of mipomersen administration, LDL-c was reduced by 47 ± 18% (P < 0.001 vs. placebo). apoB and Lp(a) were also significantly reduced by 46 and 27%, respectively (P < 0.001 vs. placebo). Four mipomersen (19%) and two placebo subjects (17%) discontinued dosing prematurely due to AEs. Persistent liver transaminase increases ≥ 3× the upper limit of normal were observed in seven (33%) subjects assigned to mipomersen. In selected subjects, liver fat content was assessed, during and after treatment, using magnetic resonance spectroscopy. Liver fat content in these patients ranged from 0.8 to 47.3%. Liver needle biopsy was performed in two of these subjects, confirming hepatic steatosis with minimal inflammation or fibrosis., Conclusion: The present data suggest that mipomersen is a potential therapeutic option in statin-intolerant patients at high risk for CVD. The long-term follow-up of liver safety is required., Clinical Trial Registration: ClinicalTrials.gov identifier: NCT00707746.
- Published
- 2012
- Full Text
- View/download PDF
31. Interleukin-6 receptor pathways in coronary heart disease: a collaborative meta-analysis of 82 studies.
- Author
-
Sarwar N, Butterworth AS, Freitag DF, Gregson J, Willeit P, Gorman DN, Gao P, Saleheen D, Rendon A, Nelson CP, Braund PS, Hall AS, Chasman DI, Tybjærg-Hansen A, Chambers JC, Benjamin EJ, Franks PW, Clarke R, Wilde AA, Trip MD, Steri M, Witteman JC, Qi L, van der Schoot CE, de Faire U, Erdmann J, Stringham HM, Koenig W, Rader DJ, Melzer D, Reich D, Psaty BM, Kleber ME, Panagiotakos DB, Willeit J, Wennberg P, Woodward M, Adamovic S, Rimm EB, Meade TW, Gillum RF, Shaffer JA, Hofman A, Onat A, Sundström J, Wassertheil-Smoller S, Mellström D, Gallacher J, Cushman M, Tracy RP, Kauhanen J, Karlsson M, Salonen JT, Wilhelmsen L, Amouyel P, Cantin B, Best LG, Ben-Shlomo Y, Manson JE, Davey-Smith G, de Bakker PI, O'Donnell CJ, Wilson JF, Wilson AG, Assimes TL, Jansson JO, Ohlsson C, Tivesten Å, Ljunggren Ö, Reilly MP, Hamsten A, Ingelsson E, Cambien F, Hung J, Thomas GN, Boehnke M, Schunkert H, Asselbergs FW, Kastelein JJ, Gudnason V, Salomaa V, Harris TB, Kooner JS, Allin KH, Nordestgaard BG, Hopewell JC, Goodall AH, Ridker PM, Hólm H, Watkins H, Ouwehand WH, Samani NJ, Kaptoge S, Di Angelantonio E, Harari O, and Danesh J
- Subjects
- Causality, Humans, Inflammation Mediators blood, Risk Factors, Coronary Disease genetics, Coronary Disease immunology, Gene Frequency, Genetic Variation genetics, Receptors, Interleukin-6 genetics, Signal Transduction genetics
- Abstract
Background: Persistent inflammation has been proposed to contribute to various stages in the pathogenesis of cardiovascular disease. Interleukin-6 receptor (IL6R) signalling propagates downstream inflammation cascades. To assess whether this pathway is causally relevant to coronary heart disease, we studied a functional genetic variant known to affect IL6R signalling., Methods: In a collaborative meta-analysis, we studied Asp358Ala (rs2228145) in IL6R in relation to a panel of conventional risk factors and inflammation biomarkers in 125,222 participants. We also compared the frequency of Asp358Ala in 51,441 patients with coronary heart disease and in 136,226 controls. To gain insight into possible mechanisms, we assessed Asp358Ala in relation to localised gene expression and to postlipopolysaccharide stimulation of interleukin 6., Findings: The minor allele frequency of Asp358Ala was 39%. Asp358Ala was not associated with lipid concentrations, blood pressure, adiposity, dysglycaemia, or smoking (p value for association per minor allele ≥0·04 for each). By contrast, for every copy of 358Ala inherited, mean concentration of IL6R increased by 34·3% (95% CI 30·4-38·2) and of interleukin 6 by 14·6% (10·7-18·4), and mean concentration of C-reactive protein was reduced by 7·5% (5·9-9·1) and of fibrinogen by 1·0% (0·7-1·3). For every copy of 358Ala inherited, risk of coronary heart disease was reduced by 3·4% (1·8-5·0). Asp358Ala was not related to IL6R mRNA levels or interleukin-6 production in monocytes., Interpretation: Large-scale human genetic and biomarker data are consistent with a causal association between IL6R-related pathways and coronary heart disease., Funding: British Heart Foundation; UK Medical Research Council; UK National Institute of Health Research, Cambridge Biomedical Research Centre; BUPA Foundation., (Copyright © 2012 Elsevier Ltd. All rights reserved.)
- Published
- 2012
- Full Text
- View/download PDF
32. Monocyte gene expression signature of patients with early onset coronary artery disease.
- Author
-
Sivapalaratnam S, Basart H, Watkins NA, Maiwald S, Rendon A, Krishnan U, Sondermeijer BM, Creemers EE, Pinto-Sietsma SJ, Hovingh K, Ouwehand WH, Kastelein JJ, Goodall AH, and Trip MD
- Subjects
- Adult, Aspirin pharmacology, Aspirin therapeutic use, Case-Control Studies, Coronary Artery Disease drug therapy, Gene Expression Regulation drug effects, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors pharmacology, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Male, Monocytes drug effects, Polymerase Chain Reaction, Reproducibility of Results, Coronary Artery Disease genetics, Coronary Artery Disease pathology, Gene Expression Profiling, Monocytes metabolism
- Abstract
The burden of cardiovascular disease (CVD) cannot be fully addressed by therapy targeting known pathophysiological pathways. Even with stringent control of all risk factors CVD events are only diminished by half. A number of additional pathways probably play a role in the development of CVD and might serve as novel therapeutic targets. Genome wide expression studies represent a powerful tool to identify such novel pathways. We compared the expression profiles in monocytes from twenty two young male patients with premature familial CAD with those from controls matched for age, sex and smoking status, without a family history of CVD. Since all patients were on statins and aspirin treatment, potentially affecting the expression of genes in monocytes, twelve controls were subsequently treated with simvastatin and aspirin for 6 and 2 weeks, respectively. By whole genome expression arrays six genes were identified to have differential expression in the monocytes of patients versus controls; ABCA1, ABCG1 and RGS1 were downregulated in patients, whereas ADRB2, FOLR3 and GSTM1 were upregulated. Differential expression of all genes, apart from GSTM1, was confirmed by qPCR. Aspirin and statins altered gene expression of ABCG1 and ADBR2. All finding were validated in a second group of twenty four patients and controls. Differential expression of ABCA1, RSG1 and ADBR2 was replicated. In conclusion, we identified these 3 genes to be expressed differently in CAD cases which might play a role in the pathogenesis of atherosclerotic vascular disease.
- Published
- 2012
- Full Text
- View/download PDF
33. Identification of candidate genes linking systemic inflammation to atherosclerosis; results of a human in vivo LPS infusion study.
- Author
-
Sivapalaratnam S, Farrugia R, Nieuwdorp M, Langford CF, van Beem RT, Maiwald S, Zwaginga JJ, Gusnanto A, Watkins NA, Trip MD, and Ouwehand WH
- Subjects
- Atherosclerosis metabolism, Gene Expression Regulation, Humans, Injections, Intravenous, Male, Monocytes immunology, Monocytes metabolism, Oligonucleotide Array Sequence Analysis, Young Adult, Atherosclerosis genetics, Inflammation genetics, Lipopolysaccharides administration & dosage
- Abstract
Background: It is widely accepted that atherosclerosis and inflammation are intimately linked. Monocytes play a key role in both of these processes and we hypothesized that activation of inflammatory pathways in monocytes would lead to, among others, proatherogenic changes in the monocyte transcriptome. Such differentially expressed genes in circulating monocytes would be strong candidates for further investigation in disease association studies., Methods: Endotoxin, lipopolysaccharide (LPS), or saline control was infused in healthy volunteers. Monocyte RNA was isolated, processed and hybridized to Hver 2.1.1 spotted cDNA microarrays. Differential expression of key genes was confirmed by RT-PCR and results were compared to in vitro data obtained by our group to identify candidate genes., Results: All subjects who received LPS experienced the anticipated clinical response indicating successful stimulation. One hour after LPS infusion, 11 genes were identified as being differentially expressed; 1 down regulated and 10 up regulated. Four hours after LPS infusion, 28 genes were identified as being differentially expressed; 3 being down regulated and 25 up regulated. No genes were significantly differentially expressed following saline infusion. Comparison with results obtained in in vitro experiments lead to the identification of 6 strong candidate genes (BATF, BID, C3aR1, IL1RN, SEC61B and SLC43A3), Conclusion: In vivo endotoxin exposure of healthy individuals resulted in the identification of several candidate genes through which systemic inflammation links to atherosclerosis.
- Published
- 2011
- Full Text
- View/download PDF
34. Assessment of carotid atherosclerosis in normocholesterolemic individuals with proven mutations in the low-density lipoprotein receptor or apolipoprotein B genes.
- Author
-
Huijgen R, Vissers MN, Kindt I, Trip MD, de Groot E, Kastelein JJ, and Hutten BA
- Subjects
- Adolescent, Adult, Cardiovascular Diseases etiology, Carotid Intima-Media Thickness, Cholesterol, LDL blood, Cross-Sectional Studies, Female, Humans, Hyperlipoproteinemia Type II, Male, Middle Aged, Young Adult, Apolipoproteins B genetics, Carotid Artery Diseases diagnosis, Cholesterol blood, Mutation, Receptors, LDL genetics
- Abstract
Background: Genetic cascade screening for heterozygous familial hypercholesterolemia (FH) revealed that 15% of individuals given this diagnosis do not exhibit elevated low-density lipoprotein cholesterol (LDL-C) levels. We assessed whether cardiovascular risk for these individuals differs from that of hypercholesterolemic FH heterozygotes and unaffected relatives., Methods and Results: Individuals aged 18 to 55 years were recruited within 18 months after genetic screening. Three groups were studied: subjects given a molecular diagnosis of FH and with LDL-C levels at genetic screening below the 75th percentile (FH-low), subjects with FH and an LDL-C level above the 90th percentile (FH-high), and subjects without FH (no-FH). We measured carotid intima-media thickness (IMT) by ultrasonography. Differences in carotid IMT among the groups were assessed using multivariate linear regression analyses. Mean carotid IMT of 114 subjects in the FH-low group (0.623 mm; 95% CI, 0.609 to 0.638 mm) was significantly smaller than that of 162 subjects in the FH-high group (0.664 mm; 95% CI, 0.648 to 0.679 mm; P<0.001) and did not significantly differ from the mean carotid IMT in 145 subjects in the no-FH group (0.628 mm; 95% CI, 0.613 to 0.642 mm; P=0.67)., Conclusions: Our findings suggest that the risk of cardiovascular disease in patients with FH to a large extent is related to LDL-C levels and not to the presence of a mutation per se. Consequently, this study cautiously suggests that individuals with an FH genotype without expression of hypercholesterolemia may not require a pharmaceutical intervention that is as aggressive as the standard for subjects with FH.
- Published
- 2011
- Full Text
- View/download PDF
35. Maps of open chromatin guide the functional follow-up of genome-wide association signals: application to hematological traits.
- Author
-
Paul DS, Nisbet JP, Yang TP, Meacham S, Rendon A, Hautaviita K, Tallila J, White J, Tijssen MR, Sivapalaratnam S, Basart H, Trip MD, Göttgens B, Soranzo N, Ouwehand WH, and Deloukas P
- Subjects
- Animals, Blood Platelets metabolism, Chromosomes, Human, Pair 7 genetics, Class Ib Phosphatidylinositol 3-Kinase genetics, DNA-Binding Proteins metabolism, Erythroblasts metabolism, Female, Gene Expression Profiling, Humans, MDS1 and EVI1 Complex Locus Protein, Macrophages metabolism, Megakaryocytes metabolism, Mice, Mice, Inbred C57BL, Mice, Knockout, Models, Genetic, Phenotype, Proto-Oncogenes, Quantitative Trait Loci, Signal Transduction genetics, Transcription Factors metabolism, Chromatin genetics, Genome-Wide Association Study
- Abstract
Turning genetic discoveries identified in genome-wide association (GWA) studies into biological mechanisms is an important challenge in human genetics. Many GWA signals map outside exons, suggesting that the associated variants may lie within regulatory regions. We applied the formaldehyde-assisted isolation of regulatory elements (FAIRE) method in a megakaryocytic and an erythroblastoid cell line to map active regulatory elements at known loci associated with hematological quantitative traits, coronary artery disease, and myocardial infarction. We showed that the two cell types exhibit distinct patterns of open chromatin and that cell-specific open chromatin can guide the finding of functional variants. We identified an open chromatin region at chromosome 7q22.3 in megakaryocytes but not erythroblasts, which harbors the common non-coding sequence variant rs342293 known to be associated with platelet volume and function. Resequencing of this open chromatin region in 643 individuals provided strong evidence that rs342293 is the only putative causative variant in this region. We demonstrated that the C- and G-alleles differentially bind the transcription factor EVI1 affecting PIK3CG gene expression in platelets and macrophages. A protein-protein interaction network including up- and down-regulated genes in Pik3cg knockout mice indicated that PIK3CG is associated with gene pathways with an established role in platelet membrane biogenesis and thrombus formation. Thus, rs342293 is the functional common variant at this locus; to the best of our knowledge this is the first such variant to be elucidated among the known platelet quantitative trait loci (QTLs). Our data suggested a molecular mechanism by which a non-coding GWA index SNP modulates platelet phenotype., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2011
- Full Text
- View/download PDF
36. Genome-wide association studies in atherosclerosis.
- Author
-
Sivapalaratnam S, Motazacker MM, Maiwald S, Hovingh GK, Kastelein JJ, Levi M, Trip MD, and Dallinga-Thie GM
- Subjects
- Coronary Artery Disease metabolism, Gene Expression, Genome-Wide Association Study, Homeostasis genetics, Humans, Lipid Metabolism genetics, Phenotype, Polymorphism, Single Nucleotide, Base Sequence, Coronary Artery Disease genetics, Genetic Loci, Genetic Predisposition to Disease
- Abstract
Cardiovascular disease remains the major cause of worldwide morbidity and mortality. Its pathophysiology is complex and multifactorial. Because the phenotype of cardiovascular disease often shows a marked heritable pattern, it is likely that genetic factors play an important role. In recent years, large genome-wide association studies have been conducted to decipher the molecular mechanisms underlying this heritable and prevalent phenotype. The emphasis of this review is on the recently identified 17 susceptibility loci for coronary artery disease. Implications of their discovery for biology and clinical medicine are discussed. A description of the landscape of human genetics in the near future in the context of next-generation sequence technologies is provided at the conclusion of this review.
- Published
- 2011
- Full Text
- View/download PDF
37. Myeloperoxidase is not associated with scintigraphic myocardial perfusion abnormalities in type 2 diabetic patients with mild stable anginal complaints.
- Author
-
Wiersma JJ, Verberne HJ, Meuwese MC, Stroes ES, van Miert JN, van Eck-Smit BL, Tijssen JG, Piek JJ, and Trip MD
- Subjects
- Angina Pectoris complications, Angina Pectoris pathology, Biomarkers blood, Endothelial Cells enzymology, Female, Humans, Male, Middle Aged, Risk Factors, Angina Pectoris diagnostic imaging, Angina Pectoris enzymology, Diabetes Mellitus, Type 2 complications, Myocardial Perfusion Imaging, Peroxidase blood
- Abstract
Background: MPO, an enzyme of the innate immune system, exhibits pro-atherogenic effects. These include oxidative damage to LDL- and HDL-cholesterol, and promotion of endothelial dysfunction. Recent studies revealed that MPO independently predicts adverse outcomes in patients with chest pain or suspected acute coronary syndrome. We evaluated whether plasma myeloperoxidase (MPO) levels are associated with scintigraphic myocardial perfusion abnormalities, in type 2 diabetic patients with mild anginal complaints., Methods: MPO was measured in plasma samples of 267 patients with diabetes mellitus type 2 and stable angina pectoris complaints (Canadian Cardiovascular Society class I-II/IV) prior to myocardial perfusion scintigraphy (MPS)., Results: The median plasma level of MPO was 141 pmol/L (IQR 115-171 pmol/L). One-hundred-ninety patients (71%) had perfusion abnormalities on MPS and of these, 138 patients had myocardial ischemia. No relation was found between plasma MPO levels and the scintigraphic myocardial perfusion abnormalities. Even in combination with known other cardiovascular risk factors MPO failed to predict scintigraphic myocardial perfusion abnormalities., Conclusions: MPO levels are not associated with scintigraphic myocardial perfusion abnormalities in type 2 diabetic patients with mild anginal complaints. Therefore, in type 2 diabetic patients MPO is not a useful biomarker to predict hemodynamically significant coronary artery disease., (Copyright © 2010 Elsevier B.V. All rights reserved.)
- Published
- 2011
- Full Text
- View/download PDF
38. Platelets in patients with premature coronary artery disease exhibit upregulation of miRNA340* and miRNA624*.
- Author
-
Sondermeijer BM, Bakker A, Halliani A, de Ronde MW, Marquart AA, Tijsen AJ, Mulders TA, Kok MG, Battjes S, Maiwald S, Sivapalaratnam S, Trip MD, Moerland PD, Meijers JC, Creemers EE, and Pinto-Sietsma SJ
- Subjects
- Adult, Case-Control Studies, Cohort Studies, Gene Expression Profiling, Genetic Association Studies, Humans, Male, MicroRNAs metabolism, Middle Aged, Reproducibility of Results, Blood Platelets metabolism, Coronary Artery Disease genetics, MicroRNAs genetics, Up-Regulation genetics
- Abstract
Background: Coronary artery disease (CAD) is the leading cause of human morbidity and mortality worldwide, underscoring the need to improve diagnostic strategies. Platelets play a major role, not only in the process of acute thrombosis during plaque rupture, but also in the formation of atherosclerosis itself. MicroRNAs are endogenous small non-coding RNAs that control gene expression and are expressed in a tissue and disease-specific manner. Therefore they have been proposed to be useful biomarkers. It remains unknown whether differences in miRNA expression levels in platelets can be found between patients with premature CAD and healthy controls., Methodology/principal Findings: In this case-control study we measured relative expression levels of platelet miRNAs using microarrays from 12 patients with premature CAD and 12 age- and sex-matched healthy controls. Six platelet microRNAs were significantly upregulated (miR340*, miR451, miR454*, miR545:9.1. miR615-5p and miR624*) and one miRNA (miR1280) was significantly downregulated in patients with CAD as compared to healthy controls. To validate these results, we measured the expression levels of these candidate miRNAs by qRT-PCR in platelets of individuals from two independent cohorts; validation cohort I consisted of 40 patients with premature CAD and 40 healthy controls and validation cohort II consisted of 27 patients with artery disease and 40 healthy relatives. MiR340* and miR624* were confirmed to be upregulated in patients with CAD as compared to healthy controls in both validation cohorts., Conclusion/significance: Two miRNAs in platelets are significantly upregulated in patients with CAD as compared to healthy controls. Whether the two identified miRNAs can be used as biomarkers and whether they are cause or consequence of the disease remains to be elucidated in a larger prospective study.
- Published
- 2011
- Full Text
- View/download PDF
39. Family history of premature coronary heart disease and risk prediction in the EPIC-Norfolk prospective population study.
- Author
-
Sivapalaratnam S, Boekholdt SM, Trip MD, Sandhu MS, Luben R, Kastelein JJ, Wareham NJ, and Khaw KT
- Subjects
- Adult, Age of Onset, Aged, Coronary Disease epidemiology, England epidemiology, Female, Humans, Male, Middle Aged, Pedigree, Prospective Studies, Risk Assessment, Risk Factors, Coronary Disease genetics
- Abstract
Objective: The value of a family history for coronary heart disease (CHD) in addition to established cardiovascular risk factors in predicting an individual's risk of CHD is unclear. In the European Prospective Investigation of Cancer (EPIC)-Norfolk cohort, the authors tested whether adding family history of premature CHD in first-degree relatives improves risk prediction compared with the Framingham risk score (FRS) alone., Methods and Results: This study comprised 10,288 men and 12,553 women aged 40-79 years participating in the EPIC-Norfolk cohort who were followed for a mean of 10.9±2.1 years (mean±SD). The authors computed the FRS as well as a modified score taking into account family history of premature CHD. A family history of CHD was indeed associated with an increased risk of future CHD, independent of established risk factors (FRS-adjusted HR of 1.74 (95% CI 1.56 to 1.95) for family history of premature CHD). However, adding family history of CHD to the FRS resulted in a negative net reclassification of 2%. In the subgroup of individuals estimated to be at intermediate risk, family history of premature CHD resulted in an increase in net reclassification of 2%. The sensitivity increased with 0.4%, and the specificity decreased 0.8%., Conclusion: Although family history of CHD was an independent risk factor of future CHD, its use did not improve classification of individuals into clinically relevant risk categories based on the FRS. Among study participants at intermediate risk of CHD, adding family history of premature CHD resulted in, at best, a modest improvement in reclassification of individuals into a more accurate risk category.
- Published
- 2010
- Full Text
- View/download PDF
40. Transcription profiling in human platelets reveals LRRFIP1 as a novel protein regulating platelet function.
- Author
-
Goodall AH, Burns P, Salles I, Macaulay IC, Jones CI, Ardissino D, de Bono B, Bray SL, Deckmyn H, Dudbridge F, Fitzgerald DJ, Garner SF, Gusnanto A, Koch K, Langford C, O'Connor MN, Rice CM, Stemple D, Stephens J, Trip MD, Zwaginga JJ, Samani NJ, Watkins NA, Maguire PB, and Ouwehand WH
- Subjects
- Animals, Gene Silencing, Genotype, Humans, Platelet Activation, Proteome metabolism, RNA-Binding Proteins genetics, Repressor Proteins genetics, Repressor Proteins metabolism, Thrombosis, Zebrafish, Zebrafish Proteins genetics, Zebrafish Proteins metabolism, Blood Platelets metabolism, Gene Expression Profiling, RNA-Binding Proteins metabolism
- Abstract
Within the healthy population, there is substantial, heritable, and interindividual variability in the platelet response. We explored whether a proportion of this variability could be accounted for by interindividual variation in gene expression. Through a correlative analysis of genome-wide platelet RNA expression data from 37 subjects representing the normal range of platelet responsiveness within a cohort of 500 subjects, we identified 63 genes in which transcript levels correlated with variation in the platelet response to adenosine diphosphate and/or the collagen-mimetic peptide, cross-linked collagen-related peptide. Many of these encode proteins with no reported function in platelets. An association study of 6 of the 63 genes in 4235 cases and 6379 controls showed a putative association with myocardial infarction for COMMD7 (COMM domain-containing protein 7) and a major deviation from the null hypo thesis for LRRFIP1 [leucine-rich repeat (in FLII) interacting protein 1]. Morpholino-based silencing in Danio rerio identified a modest role for commd7 and a significant effect for lrrfip1 as positive regulators of thrombus formation. Proteomic analysis of human platelet LRRFIP1-interacting proteins indicated that LRRFIP1 functions as a component of the platelet cytoskeleton, where it interacts with the actin-remodeling proteins Flightless-1 and Drebrin. Taken together, these data reveal novel proteins regulating the platelet response.
- Published
- 2010
- Full Text
- View/download PDF
41. NT-pro-BNP is associated with inducible myocardial ischemia in mildly symptomatic type 2 diabetic patients.
- Author
-
Wiersma JJ, van der Zee PM, van Straalen JP, Fischer JC, van Eck-Smit BLF, Tijssen JGP, Trip MD, Piek JJ, and Verberne HJ
- Subjects
- Aged, Biomarkers blood, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 diagnosis, Female, Humans, Male, Middle Aged, Myocardial Ischemia complications, Myocardial Ischemia diagnosis, Diabetes Mellitus, Type 2 blood, Myocardial Ischemia blood, Natriuretic Peptide, Brain blood, Peptide Fragments blood, Protein Precursors blood
- Abstract
Baseline levels of N-terminal fragment of the brain natriuretic peptide prohormone (NT-pro-BNP) are associated with myocardial ischemia in non-diabetic patients with stable angina pectoris. A total of 281 patients with diabetes mellitus type 2 and stable angina pectoris underwent myocardial perfusion scintigraphy (MPS). Myocardial ischemia on MPS was present in 140 (50%) patients. These ischemic patients had significantly higher NT-pro-BNP levels compared with patients without ischemia: 183 pg/ml (64-324 pg/ml) vs. 88 pg/ml (34-207 pg/ml), respectively (p<0.001). In addition, NT-pro-BNP ≥180 pg/ml was an independent predictor of the presence of myocardial ischemia (OR 2.36, 95%CI 1.40-3.97, p=0.001). Possible confounding factors such as age and creatinine clearance were of no influence on the predictive value in this specific patient population. These findings strengthen the idea that NT-pro-BNP may be of value in the early detection of diabetic patients with hemodynamic significant coronary artery disease., (Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
42. Long-term LDL-c lowering in heterozygous familial hypercholesterolemia normalizes carotid intima-media thickness.
- Author
-
Sivapalaratnam S, van Loendersloot LL, Hutten BA, Kastelein JJ, Trip MD, and de Groot E
- Subjects
- Adult, Case-Control Studies, Family Health, Female, Heterozygote, Humans, Male, Middle Aged, Spouses, Anticholesteremic Agents therapeutic use, Carotid Arteries pathology, Cholesterol, LDL metabolism, Hypercholesterolemia genetics, Tunica Intima pathology, Tunica Media pathology
- Abstract
Objective: We investigated the effectiveness of statins in daily practice in reducing the arterial wall thicknesses by comparing the carotid intima-media thickness (cIMT) between statin-treated familial hypercholesterolemia (FH) patients and their unaffected spouses., Methods: FH subjects treated with LDL-c lowering medication for at least 5 years and their unaffected spouses were included in this observational study. Clinical data and carotid intima-media thickness (cIMT) as surrogate marker for atherosclerosis were acquired., Results: In total 40 FH patients, age 48.4±4.2 years, and their 40 unaffected spouses, age 47.4±3.9 years, were included. Pre-treatment total cholesterol levels of FH patients were on average 9.3±2.0 mmol/L. Treated FH patients and unaffected spouses exhibited similar LDL-c (3.8±1.5 vs. 3.5±1.1 mmol/L; p=0.25) and total cholesterol levels (5.8±1.6 vs. 5.6±1.1 mmol/L; p=0.56). Also, in a multivariate model cIMT adjusted for age and sex did not differ between affected and spouses (95% CI: -0.032 to 0.092 mm; p=0.34)., Conclusion: Long-term statin treatment normalizes cIMT in severe FH patients and therefore it is likely that the extreme risk of cardiovascular disease in FH patients is significantly reduced by this therapy., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
43. Genetic variation at the phospholipid transfer protein locus affects its activity and high-density lipoprotein size and is a novel marker of cardiovascular disease susceptibility.
- Author
-
Vergeer M, Boekholdt SM, Sandhu MS, Ricketts SL, Wareham NJ, Brown MJ, de Faire U, Leander K, Gigante B, Kavousi M, Hofman A, Uitterlinden AG, van Duijn CM, Witteman JC, Jukema JW, Schadt EE, van der Schoot E, Kastelein JJ, Khaw KT, Dullaart RP, van Tol A, Trip MD, and Dallinga-Thie GM
- Subjects
- Adult, Aged, Atherosclerosis metabolism, Case-Control Studies, Female, Genetic Markers, Genetic Predisposition to Disease epidemiology, Genetic Variation, Humans, Lipoproteins, HDL chemistry, Male, Middle Aged, Particle Size, Polymorphism, Single Nucleotide, Predictive Value of Tests, Risk Factors, Atherosclerosis genetics, Lipoproteins, HDL metabolism, Phospholipid Transfer Proteins genetics, Phospholipid Transfer Proteins metabolism
- Abstract
Background: In contrast to clear associations between variants in genes participating in low-density lipoprotein metabolism and cardiovascular disease risk, such associations for high-density lipoprotein (HDL)-related genes are not well supported by recent large studies. We aimed to determine whether genetic variants at the locus encoding phospholipid transfer protein (PLTP), a protein involved in HDL remodeling, underlie altered PLTP activity, HDL particle concentration and size, and cardiovascular disease risk., Methods and Results: We assessed associations between 6 PLTP tagging single nucleotide polymorphisms and PLTP activity in 2 studies (combined n=384) and identified 2 variants that show reproducible associations with altered plasma PLTP activity. A gene score based on these variants is associated with lower hepatic PLTP transcription (P=3.2x10(-18)) in a third study (n=957) and with an increased number of HDL particles of smaller size (P=3.4x10(-17)) in a fourth study (n=3375). In a combination of 5 cardiovascular disease case-control studies (n=4658 cases and 11 459 controls), a higher gene score was associated with a lower cardiovascular disease risk (per-allele odds ratio, 0.94; 95% confidence interval, 0.90 to 0.98; P=1.2x10(-3); odds ratio for highest versus lowest gene score, 0.69; 95% confidence interval, 0.55 to 0.86; P=1.0x10(-3))., Conclusions: A gene score based on 2 PLTP single nucleotide polymorphisms is associated with lower PLTP transcription and activity, an increased number of HDL particles, smaller HDL size, and decreased risk of cardiovascular disease. These findings indicate that PLTP is a proatherogenic entity and suggest that modulation of specific elements of HDL metabolism may offer cardiovascular benefit.
- Published
- 2010
- Full Text
- View/download PDF
44. Atherosclerosis in patients with cyanotic congenital heart disease.
- Author
-
Duffels MG, Mulder KM, Trip MD, de Groot E, Gort J, van Dijk AP, Hoendermis ES, Daliento L, Zwinderman AH, Berger RM, and Mulder BJ
- Subjects
- Adolescent, Adult, Bilirubin blood, Blood Platelets, Blood Pressure, Case-Control Studies, Cholesterol blood, Female, Heart Diseases pathology, Humans, Male, Middle Aged, Risk Factors, Atherosclerosis, Cyanosis, Heart Diseases congenital
- Abstract
Background: Cyanotic patients with congenital heart disease (CHD) might be protected against atherosclerosis., Methods and Results: Atherosclerotic risk factors and carotid intima - media thickness (IMT) were investigated in adults with cyanotic CHD and in unaffected age- and sex-matched controls. Fifty-four cyanotic patients (30 men, mean age 38, range 19-60 years) and 54 controls were included. Mean transcutaneous saturation of the cyanotic patients was 81+/-6%. Mean carotid IMT adjusted for age was significantly decreased in cyanotic patients compared to controls (0.55+/-0.1 mm vs 0.58+/-0.08 mm: DeltaIMT =0.04 mm [SE 0.015], P=0.01). In cyanotic patients lower total cholesterol levels were observed (4.4+/-1 mmol/L vs 4.9+/-1 mmol/L; P=0.02), as well as lower thrombocyte levels (173+/-81 x 10(9) /L vs 255+/-54 x 10(9) /L; P<0.01), higher bilirubin levels (18.6+/-11 micromol/L vs 12.7+/-6 micromol/L; P<0.01), and lower diastolic and systolic blood pressure (71+/-9 mmHg vs 76+/-9 mmHg, P<0.01; 113+/-14 mmHg vs 124+/-12 mmHg, P<0.01, respectively)., Conclusions: In patients with cyanotic CHD carotid IMT, and hence atherosclerosis disease risk, was decreased. This might be due to a combination of reduced atherosclerotic risk factors such as lower blood pressure, lower total cholesterol levels, higher bilirubin levels and lower thrombocyte levels.
- Published
- 2010
- Full Text
- View/download PDF
45. Effect of apolipoprotein-B synthesis inhibition on liver triglyceride content in patients with familial hypercholesterolemia.
- Author
-
Visser ME, Akdim F, Tribble DL, Nederveen AJ, Kwoh TJ, Kastelein JJ, Trip MD, and Stroes ES
- Subjects
- Adolescent, Adult, Aged, Double-Blind Method, Drug-Related Side Effects and Adverse Reactions, Female, Heterozygote, Humans, Magnetic Resonance Spectroscopy, Male, Middle Aged, Oligonucleotides adverse effects, Young Adult, Apolipoproteins B biosynthesis, Hyperlipoproteinemia Type II metabolism, Liver drug effects, Liver metabolism, Oligonucleotides pharmacology, Protein Biosynthesis drug effects, Triglycerides metabolism
- Abstract
To investigate the impact of mipomersen, an apolipoprotein B-100 (apoB) synthesis inhibitor, on intra-hepatic triglyceride content (IHTG content), we conducted a randomized, double-blind, placebo-controlled study in 21 patients with familial hypercholesterolemia (FH). Subjects received a weekly subcutaneous dose of 200 mg mipomersen or placebo for 13 weeks while continuing conventional lipid lowering therapy. The primary endpoint was change in IHTG content from week 0 to week 15 as measured by localized proton magnetic resonance spectroscopy (1H-MRS). Thirteen weeks of mipomersen administration reduced LDL-cholesterol by 22.0 (17.8) % and apoB by 19.9 (17.4) % (both P < 0.01). One of 10 patients (10%) in the mipomersen-treated group developed mild hepatic steatosis at week 15, which was reversible following mipomersen discontinuation. For the group, there was a trend toward an increase in IHTG content [placebo; baseline: 1.2% and week 15: 1.1%; change -0.1 (0.9). Mipomersen; baseline: 1.2% and week 15: 2.1%; change 0.8 (1.7) (P = 0.0513)]. Mipomersen administration for 13 weeks to subjects with FH is associated with a trend toward an increase in IHTG content. Future studies evaluating the effects of long-term use of mipomersen reaching more profound reductions in apoB are required prior to broader use of this compound.
- Published
- 2010
- Full Text
- View/download PDF
46. Efficacy and safety of mipomersen, an antisense inhibitor of apolipoprotein B, in hypercholesterolemic subjects receiving stable statin therapy.
- Author
-
Akdim F, Stroes ES, Sijbrands EJ, Tribble DL, Trip MD, Jukema JW, Flaim JD, Su J, Yu R, Baker BF, Wedel MK, and Kastelein JJ
- Subjects
- Apolipoproteins B biosynthesis, Apolipoproteins B blood, Cholesterol, LDL drug effects, Dose-Response Relationship, Drug, Double-Blind Method, Drug Administration Schedule, Drug Therapy, Combination, Female, Follow-Up Studies, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors administration & dosage, Hypercholesterolemia blood, Injections, Subcutaneous, Male, Middle Aged, Oligonucleotides administration & dosage, Prevalence, Retrospective Studies, Treatment Outcome, Apolipoproteins B antagonists & inhibitors, Cholesterol, LDL blood, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Hypercholesterolemia drug therapy, Oligonucleotides therapeutic use
- Abstract
Objectives: The aim of this study was to evaluate the efficacy and safety of mipomersen in hypercholesterolemic subjects taking stable statin therapy., Background: Mipomersen is an apolipoprotein (apo) B synthesis inhibitor that has demonstrated significant reductions in apo B and low-density lipoprotein (LDL) cholesterol in Phase 1 clinical trials in healthy volunteers., Methods: A randomized, placebo-controlled, dose-escalation Phase 2 study was designed to evaluate the effects of mipomersen in hypercholesterolemic subjects taking stable statin therapy. Seventy-four subjects were enrolled sequentially into 1 of 6 dose cohorts at a 4:1 (active/placebo) ratio. Subjects received 7 doses of 30 to 400 mg over 5 weeks in the first 5 cohorts and 15 doses of 200 mg over 13 weeks in the sixth cohort. Pre-specified end points included percentage change from baseline in apo B and LDL cholesterol. Safety was assessed with laboratory test results and by the incidence and severity of adverse events., Results: The apo B and LDL cholesterol were reduced by 19% to 54% and 21% to 52%, respectively, at doses of 100 mg/week mipomersen and higher in the 5-week treatment cohorts. Efficacy seemed to increase upon treatment for 13 weeks at a dose of 200 mg/week. Injection site reactions (mild to moderate erythema [90%]) and hepatic transaminase increases (17%) were the most common adverse events, leading to discontinuation in 2 subjects and 1 subject, respectively. In the 13-week treatment cohort, 5 of 10 subjects (50%) had elevations >or=3x the upper limit of normal, 4 of which persisted on 2 consecutive occasions., Conclusions: Mipomersen might hold promise for treatment of patients not reaching target LDL cholesterol levels on stable statin therapy. Further studies are needed to address the mechanisms and clinical relevance of transaminase changes after mipomersen administration. (Dose-Escalating Safety Study in Subjects on Stable Statin Therapy; NCT00231569)., (Copyright (c) 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2010
- Full Text
- View/download PDF
47. Correlation between HIV-1 seropositivity and prevalence of a gamma-secretase polymorphism in two distinct ethnic populations.
- Author
-
van Loo KM, van Schijndel JE, van Zweeden M, van Manen D, Trip MD, Petersen DC, Schuitemaker H, Hayes VM, and Martens GJ
- Subjects
- Amino Acid Substitution genetics, Disease Susceptibility, Endopeptidases, Female, Humans, Male, Mutation, Missense, Amyloid Precursor Protein Secretases genetics, HIV Infections genetics, Membrane Proteins genetics, Peptide Hydrolases genetics, Polymorphism, Single Nucleotide
- Abstract
Susceptibility for human immunodeficiency virus type 1 (HIV-1) infection may be influenced by host genetics. Recent findings with a Wistar rat model raised the possibility that the gamma-secretase pathway may be associated with an individual's susceptibility to infection. A functional single-nucleotide polymorphism (SNP) in the gamma-secretase component APH1B (Phe217Leu; rs1047552) was therefore analyzed for association with HIV-1 infection. The SNP showed a tendency for association with HIV-1 infection in a Xhosa indigenous South African Bantu study (P = 0.087), and associated significantly in a Caucasian Dutch study (P = 0.049). Together, the results suggest a role for the gamma-secretase pathway in susceptibility to HIV-1 infection.
- Published
- 2009
- Full Text
- View/download PDF
48. Prognostic value of myocardial perfusion scintigraphy in type 2 diabetic patients with mild, stable angina pectoris.
- Author
-
Wiersma JJ, Verberne HJ, ten Holt WL, Radder IM, Dijksman LM, van Eck-Smit BL, Trip MD, Tijssen JG, and Piek JJ
- Subjects
- Aged, Female, Humans, Insulin therapeutic use, Male, Middle Aged, Multivariate Analysis, Myocardial Infarction complications, Myocardial Ischemia complications, Prognosis, Proportional Hazards Models, Risk, Angina Pectoris diagnosis, Angina Pectoris diagnostic imaging, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 pathology, Myocardial Perfusion Imaging methods
- Abstract
Aim: To determine the prognostic value of reversible myocardial perfusion defects on myocardial perfusion scintigraphy (MPS) in patients with type 2 diabetes mellitus and mild anginal complaints., Methods and Results: In the MERIDIAN trial, patients with diabetes mellitus type 2, stable, mild anginal symptoms (Canadian Cardiovascular Society classification (CCS) I-II/IV) and reversible perfusion defects were randomized to either continued pharmacological treatment or early invasive treatment. In this sub analysis, the severity of the myocardial perfusion defect was related to the occurrence of cardiac death and non-fatal myocardial infarction, in 319 patients (63% male, 65 +/- 9 years). During follow-up (2.2 +/- 0.6 years), 14 patients had a cardiac event: 3 in 171 patients without myocardial ischemia and 11 in 148 patients with myocardial ischemia. Annual event rates rose from 0.8% to 5.8% with increasing severity of myocardial ischemia. Multivariable analysis identified the presence of severe myocardial ischemia (hazard ratio (HR) 5.45, 95%CI 1.89-15.71) and insulin use (HR 4.00, 95%CI 1.25-12.75) as independent predictors of cardiac events., Conclusions: Type 2 diabetics with mild anginal symptoms with no or moderate myocardial ischemia have a low annual cardiac event rate. In patients with severe myocardial ischemia event rate increased 3-6 fold.
- Published
- 2009
- Full Text
- View/download PDF
49. Efficacy and safety of coadministration of ezetimibe and simvastatin in adolescents with heterozygous familial hypercholesterolemia.
- Author
-
van der Graaf A, Cuffie-Jackson C, Vissers MN, Trip MD, Gagné C, Shi G, Veltri E, Avis HJ, and Kastelein JJ
- Subjects
- Adolescent, Double-Blind Method, Drug Therapy, Combination, Ezetimibe, Female, Humans, Male, Time Factors, Treatment Outcome, Anticholesteremic Agents administration & dosage, Azetidines administration & dosage, Hyperlipoproteinemia Type II drug therapy, Simvastatin administration & dosage
- Abstract
Objectives: The study evaluated the efficacy and safety of long-term coadministration of ezetimibe and simvastatin in adolescents with heterozygous familial hypercholesterolemia (HeFH)., Background: Aggressive intervention to achieve lipid goals for adolescents with HeFH is recommended to reduce risk of premature cardiovascular disease., Methods: In a multicenter, randomized, double-blind, placebo-controlled study, 248 male and female subjects ages >or=10 and
- Published
- 2008
- Full Text
- View/download PDF
50. Diabetes mellitus type 2 is associated with higher levels of myeloperoxidase.
- Author
-
Wiersma JJ, Meuwese MC, van Miert JN, Kastelein A, Tijssen JG, Piek JJ, and Trip MD
- Subjects
- Aged, Angina Pectoris complications, Case-Control Studies, Diabetes Mellitus, Type 2 complications, Female, Humans, Male, Diabetes Mellitus, Type 2 enzymology, Peroxidase metabolism
- Abstract
Background: Diabetes mellitus type 2 is linked to augmented endothelial dysfunction and accelerated atherosclerosis. Myeloperoxidase plays an important role in the initiation, progression, and the complications of atherosclerosis. We investigated whether myeloperoxidase levels are increased in diabetic patients., Material/methods: We compared baseline plasma myeloperoxidase levels in diabetic and nondiabetic patients with mild, stable anginal complaints (Canadian Cardiovascular Society I-II/IV) and performed multivariate linear regression analyses to adjust for possible confounding factors., Results: A total of 440 patients were recruited from the outpatient clinic of cardiology, 268 patients with and 172 without diabetes mellitus type 2. Levels of myeloperoxidase were significantly higher in diabetic patients (median, 141 pM; interquartile range, 115-171 pM) than in nondiabetic patients (median, 126 pM; interquartile range, 105-167 pM) (P=0.01). Diabetes mellitus type 2, age in years, current smoking status, presence of hypercholesterolemia, and use of calcium antagonists and ACE inhibitors were associated with logarithmically transformed myeloperoxidase levels. Of these variables, diabetes mellitus type 2 (beta 0.096, SE 0.038, P=0.01); age (beta 0.01, SE 0.002, P<0.001), and current smoking (beta 0.166, SE 0.05, P=0.001) remained independently associated with myeloperoxidase levels in multivariate analysis. The linear regression coefficient of diabetes mellitus type 2 in relation to myeloperoxidase was 0.092 in univariate linear regression and 0.078 after adjusting for age, current smoking, and use of ACE inhibitors and calcium antagonists., Conclusions: Diabetes mellitus type 2 is associated with mildly increased levels of myeloperoxidase, independent of other clinical variables. This association may contribute to the accelerated progression of atherosclerosis in diabetics.
- Published
- 2008
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.