Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
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Keaton, JM; Kamali, Z; Xie, T; Vaez, A; Williams, A; Goleva, SB; Ani, A; Evangelou, E; Hellwege, JN; Yengo, L; Young, WJ; Traylor, M; Giri, A; Zheng, Z; Zeng, J; Chasman, DI; Morris, AP; Caulfield, MJ; Hwang, SJ; Kooner, JS; Conen, D; Attia, JR; Morrison, AC; Loos, RJF; Kristiansson, K; Schmidt, R; Hicks, AA; Pramstaller, PP; Nelson, CP; Samani, NJ; Risch, L; Gyllensten, U; Melander, O; Riese, H; Wilson, JF; Campbell, H; Rich, SS; Psaty, BM; Lu, Y; Rotter, JI; Guo, X; Rice, KM; Vollenweider, P; Sundström, J; Langenberg, C; Tobin, MD; Giedraitis, V; Luan, J; Tuomilehto, J; Kutalik, Z; Ripatti, S; Salomaa, V; Girotto, G; Trompet, S; Jukema, JW; van, der, Harst, P; Ridker, PM; Giulianini, F; Vitart, V; Goel, A; Watkins, H; Harris, SE; Deary, IJ; van, der, Most, PJ; Oldehinkel, AJ; Keavney, BD; Hayward, C; Campbell, A; Boehnke, M; Scott, LJ; Boutin, T; Mamasoula, C; Järvelin, MR; Peters, A; Gieger, C; Lakatta, EG; Cucca, F; Hui, J; Knekt, P; Enroth, S; De, Borst, MH; Polašek, O; Concas, MP; Catamo, E; Cocca, M; Li-Gao, R; Hofer, E; Schmidt, H; Spedicati, B; Waldenberger, M; Strachan, DP; Laan, M; Teumer, A; Dörr, M; Gudnason, V; Cook, JP; Ruggiero, D; Kolcic, I; Boerwinkle, E; Traglia, M; Lehtimäki, T; Raitakari, OT; Johnson, AD; Newton-Cheh, C; Brown, MJ; Dominiczak, AF; Sever, PJ; Poulter, N; Chambers, JC; Elosua, R; Siscovick, D; Esko, T; Metspalu, A; Strawbridge, RJ; Laakso, M; Hamsten, A; Hottenga, JJ; de, Geus, E; Morris, AD; Palmer, CNA; Nolte, IM; Milaneschi, Y; Marten, J; Wright, A; Zeggini, E; Howson, JMM; O'Donnell, CJ; Spector, T; Nalls, MA; Simonsick, EM; Liu, Y; van, Duijn, CM; Butterworth, AS; Danesh, JN; Menni, C; Wareham, NJ; Khaw, KT; Sun, YV; Wilson, PWF; Cho, K; Visscher, PM; Denny, JC; Levy, D; Edwards, TL; Munroe, PB; Snieder, H; Warren, HR, , Million, Veteran, Program;Lifelines, Cohort, Study;CHARGE, consortium;ICBP, Consortium.
Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.
Nat Genet. 2024;
Doi: 10.1038/s41588-024-01714-w
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- Co-Autor*innen der Med Uni Graz
- Hofer Edith
- Schmidt Helena
- Schmidt Reinhold
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- Abstract:
- Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10-8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5-18.2 mmHg, P = 2.22 × 10-126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54-9.70; P = 4.13 × 10-44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781-0.801) to 0.826 (95% CI, 0.817-0.836, ∆AUROC, 0.035, P = 1.98 × 10-34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research.