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Wain, LV; Verwoert, GC; O'Reilly, PF; Shi, G; Johnson, T; Johnson, AD; Bochud, M; Rice, KM; Henneman, P; Smith, AV; Ehret, GB; Amin, N; Larson, MG; Mooser, V; Hadley, D; Dörr, M; Bis, JC; Aspelund, T; Esko, T; Janssens, AC; Zhao, JH; Heath, S; Laan, M; Fu, J; Pistis, G; Luan, J; Arora, P; Lucas, G; Pirastu, N; Pichler, I; Jackson, AU; Webster, RJ; Zhang, F; Peden, JF; Schmidt, H; Tanaka, T; Campbell, H; Igl, W; Milaneschi, Y; Hottenga, JJ; Vitart, V; Chasman, DI; Trompet, S; Bragg-Gresham, JL; Alizadeh, BZ; Chambers, JC; Guo, X; Lehtimäki, T; Kühnel, B; Lopez, LM; Polašek, O; Boban, M; Nelson, CP; Morrison, AC; Pihur, V; Ganesh, SK; Hofman, A; Kundu, S; Mattace-Raso, FU; Rivadeneira, F; Sijbrands, EJ; Uitterlinden, AG; Hwang, SJ; Vasan, RS; Wang, TJ; Bergmann, S; Vollenweider, P; Waeber, G; Laitinen, J; Pouta, A; Zitting, P; McArdle, WL; Kroemer, HK; Völker, U; Völzke, H; Glazer, NL; Taylor, KD; Harris, TB; Alavere, H; Haller, T; Keis, A; Tammesoo, ML; Aulchenko, Y; Barroso, I; Khaw, KT; Galan, P; Hercberg, S; Lathrop, M; Eyheramendy, S; Org, E; Sõber, S; Lu, X; Nolte, IM; Penninx, BW; Corre, T; Masciullo, C; Sala, C; Groop, L; Voight, BF; Melander, O; O'Donnell, CJ; Salomaa, V; d'Adamo, AP; Fabretto, A; Faletra, F; Ulivi, S; Del Greco, F; Facheris, M; Collins, FS; Bergman, RN; Beilby, JP; Hung, J; Musk, AW; Mangino, M; Shin, SY; Soranzo, N; Watkins, H; Goel, A; Hamsten, A; Gider, P; Loitfelder, M; Zeginigg, M; Hernandez, D; Najjar, SS; Navarro, P; Wild, SH; Corsi, AM; Singleton, A; de Geus, EJ; Willemsen, G; Parker, AN; Rose, LM; Buckley, B; Stott, D; Orru, M; Uda, M; LifeLines Cohort Study; van der Klauw, MM; Zhang, W; Li, X; Scott, J; Chen, YD; Burke, GL; Kähönen, M; Viikari, J; Döring, A; Meitinger, T; Davies, G; Starr, JM; Emilsson, V; Plump, A; Lindeman, JH; Hoen, PA; König, IR; EchoGen consortium; Felix, JF; Clarke, R; Hopewell, JC; Ongen, H; Breteler, M; Debette, S; Destefano, AL; Fornage, M; AortaGen Consortium; Mitchell, GF; CHARGE Consortium Heart Failure Working Group; Smith, NL; KidneyGen consortium; Holm, H; Stefansson, K; Thorleifsson, G; Thorsteinsdottir, U; CKDGen consortium; Cardiogenics consortium; CardioGram; Samani, NJ; Preuss, M; Rudan, I; Hayward, C; Deary, IJ; Wichmann, HE; Raitakari, OT; Palmas, W; Kooner, JS; Stolk, RP; Jukema, JW; Wright, AF; Boomsma, DI; Bandinelli, S; Gyllensten, UB; Wilson, JF; Ferrucci, L; Schmidt, R; Farrall, M; Spector, TD; Palmer, LJ; Tuomilehto, J; Pfeufer, A; Gasparini, P; Siscovick, D; Altshuler, D; Loos, RJ; Toniolo, D; Snieder, H; Gieger, C; Meneton, P; Wareham, NJ; Oostra, BA; Metspalu, A; Launer, L; Rettig, R; Strachan, DP; Beckmann, JS; Witteman, JC; Erdmann, J; van Dijk, KW; Boerwinkle, E; Boehnke, M; Ridker, PM; Jarvelin, MR; Chakravarti, A; Abecasis, GR; Gudnason, V; Newton-Cheh, C; Levy, D; Munroe, PB; Psaty, BM; Caulfield, MJ; Rao, DC; Tobin, MD; Elliott, P; van Duijn, CM.
Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure.
Nat Genet. 2011; 43(10):1005-1011 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Gider Pierre
Koini Marisa
Schmidt Helena
Schmidt Reinhold
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Abstract:
Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 × 10(-8) to P = 2.3 × 10(-13)) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.
Find related publications in this database (using NLM MeSH Indexing)
Arteries - metabolism
Blood Pressure - genetics
Case-Control Studies -
Follow-Up Studies -
Genetic Loci -
Genome-Wide Association Study -
Humans -
Hypertension - genetics
Linkage Disequilibrium -
Polymorphism, Single Nucleotide -

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