PuSH - Publication Server of Helmholtz Zentrum München

29 Records found.
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1.
Erzurumluoglu, A.M.* et al.: Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol. Psychiatry, accepted (2019)
2.
Gregson, J.* et al.: Cardiovascular risk factors are associated with venous thromboembolism. JAMA Cardiol. 4, 163-173 (2019)
3.
Jiang, X.* et al.: Shared heritability and functional enrichment across six solid cancers. Nat. Commun. 10:431 (2019)
4.
Pennells, L.* et al.: Equalization of four cardiovascular risk algorithms after systematic recalibration: Individual-participant meta-analysis of 86 prospective studies. Eur. Heart J. 40, 621-631 (2019)
5.
Mahajan, A.* et al.: Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat. Genet. 50, 559-571 (2018)
6.
Wood, A.M.* et al.: Risk thresholds for alcohol consumption: Combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet 391, 1513-1523 (2018)
7.
Gregson, J.M.* et al.: Genetic invalidation of Lp-PLA2 as a therapeutic target: Large-scale study of five functional Lp-PLA2-lowering alleles. Eur. J. Prev. Cardiol. 24, 492-504 (2017)
8.
Howson, J.M.M.* et al.: Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nat. Genet. 49, 1113-1119 (2017)
9.
Paige, E.* et al.: Use of repeated blood pressure and cholesterol measurements to improve cardiovascular disease risk prediction: An individual-participant-data meta-analysis. Am. J. Epidemiol. 186, 899-907 (2017)
10.
Scott, R.A.* et al.: A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci. Transl. Med. 8:341ra76 (2016)
11.
Stitziel, N.O.* et al.: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. N. Engl. J. Med. 374, 1134-1144 (2016)
12.
Stitziel, N.O.* et al.: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease (vol 374, pg 1134, 2016). N. Engl. J. Med. 374, 1898-1898 (2016)
13.
Surendran, P.* et al.: Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat. Genet. 48, 1151-1161 (2016)
14.
Zanoni, P.* et al.: Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease. Science 351, 1166-1671 (2016)
15.
Interleukin 1 Genetics Consortium et al.: Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: A mendelian randomisation analysis. Lancet Diabet. Endocrinol. 3, 243-253 (2015)
16.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat. Genet. 47, 1294-1303 (2015)
17.
Day, F.R.* et al.: Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility, and BRCA1-mediated DNA repair. Obstet. Gynecol. 70, 758-762 (2015)
18.
Emerging Risk Factors Collaboration (di Angelantonio, E.* ; Kaptoge, S.* ; Wormser, D.* ; Willeit, P.* ; Butterworth, A.S.* ; Bansal, N.* ; O'Keeffe, L.M.* ; Gao, P.* ; Wood, A.M.* ; Burgess, S.L.* ; Freitag, D.F.* ; Pennells, L.* ; Peters, S.A.* ; Hart, C.L.* ; Håheim, L.L.* ; Gillum, R.F.* ; Nordestgaard, B.G.* ; Psaty, B.M.* ; Yeap, B.B.* ; Knuiman, M.W.* ; Nietert, P.J.* ; Kauhanen, J.* ; Salonen, J.T.* ; Kuller, L.H.* ; Simons, L.A.* ; van der Schouw, Y.T.* ; Barrett-Connor, E.* ; Selmer, R.* ; Crespo, C.J.* ; Rodriguez, B.* ; Verschuren, W.M.* ; Salomaa, V.* ; Svärdsudd, K.* ; van der Harst, P.* ; Björkelund, C.* ; Wilhelmsen, L.* ; Wallace, R.B.* ; Brenner, H.* ; Amouyel, P.* ; Barr, E.L.* ; Iso, H.* ; Onat, A.* ; Trevisan, M.* ; D'Agostino, R.B.* ; Cooper, C.* ; Kavousi, M.* ; Welin, L.* ; Roussel, R.* ; Hu, F.B.* ; Sato, S.* ; Davidson, K.W.* ; Howard, B.V.* ; Leening, M.* ; Rosengren, A.* ; Dörr, M.* ; Deeg, D.J.* ; Kiechl, S.* ; Stehouwer, C.D.* ; Nissinen, A.* ; Giampaoli, S.* ; Donfrancesco, C.* ; Kromhout, D.* ; Price, J.F.* ; Peters, A. ; Meade, T.W.* ; Casiglia, E.* ; Lawlor, D.A.* ; Gallacher, J.* ; Nagel, D.* ; Franco, O.H.* ; Assmann, G.* ; Dagenais, G.R.* ; Jukema, J.W.* ; Sundström, J.* ; Woodward, M.* ; Brunner, E.J.* ; Khaw, K.T.* ; Wareham, N.J.* ; Whitsel, E.A.* ; Njølstad, I.* ; Hedblad, B.* ; Wassertheil-Smoller, S.* ; Engström, G.* ; Rosamond, W.D.* ; Selvin, E.* ; Sattar, N.* ; Thompson, S.G.* ; Danesh, J.*): Association of cardiometabolic multimorbidity with mortality. JAMA 314, 52-60 (2015)
19.
Khan, S.* et al.: MicroRNA related polymorphisms and breast cancer risk. PLoS ONE 9:e109973 (2014)
20.
Emerging Risk Factors Collaboration (Meisinger, C.) et al.: Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA 311, 1225-1233 (2014)