PuSH - Publication Server of Helmholtz Zentrum München

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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.
Justice, A.E.* et al.: Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat. Genet. 51, 452–469 (2019)
3.
Neumann, J.T.* et al.: Application of high-sensitivity troponin in suspected myocardial infarction. N. Engl. J. Med. 380, 2529-2540 (2019)
4.
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)
5.
Ferrario, M.M.* et al.: Determinants of social inequalities in stroke incidence across Europe: A collaborative analysis of 126 635 individuals from 48 cohort studies. J. Epidemiol. Community Health 71, 1210-1216 (2017)
6.
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)
7.
Saleheen, D.* et al.: Loss of cardioprotective effects at the ADAMTS7 locus as a result of gene-smoking interactions. Circulation 135, 2336-2353 (2017)
8.
Veronesi, G.* et al.: Combined effect of educational status and cardiovascular risk factors on the incidence of coronary heart disease and stroke in European cohorts: Implications for prevention. Eur. J. Prev. Cardiol. 24, 437-445 (2017)
9.
Waldeyer, C.* et al.: Lipoprotein(a) and the risk of cardiovascular disease in the European population: Results from the BiomarCaRE consortium. Eur. Heart J. 38, 2490-2498 (2017)
10.
Zeller, T.* et al.: Transcriptome-wide analysis identifies novel associations with blood pressure. Hypertension 70, 713-750 (2017)
11.
NCD Risk Factors Collaboration et al.: Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet 387, 1377-1396 (2016)
12.
Blankenberg, S.* et al.: Troponin I and cardiovascular risk prediction in the general population: The BiomarCaRE consortium. Eur. Heart J. 37, 2428-2437 (2016)
13.
Ehret, G.B.* et al.: The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat. Genet. 48, 1171-1184 (2016)
14.
Makarova, N.* et al.: Troponin I and cardiovascular risk prediction in the general population. Eur. Heart J. 37, 46-47 (2016)
15.
Schöttker, B.* et al.: HbA1c levels in non-diabetic older adults - no J-shaped associations with primary cardiovascular events, cardiovascular and all-cause mortality after adjustment for confounders in a meta-analysis of individual participant data from six cohort studies. BMC Med. 14:26 (2016)
16.
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)
17.
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)
18.
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)
19.
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)
20.
Veronesi, G.* et al.: Educational class inequalities in the incidence of coronary heart disease in Europe. Heart 102, 958-965 (2016)