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Publications

2023

Karhunen, V., D. Gill, J. Huang, E. Bouras, R. Malik, M. J. Ponsford, A. Ahola-Olli, A. Papadopoulou, S. Palaniswamy, S. Sebert, M. Wielscher, J. Auvinen, J. Veijola, K.-H. Herzig, M. Timonen, S. Keinänen-Kiukaanniemi, M. Dichgans, M. Salmi, S. Jalkanen, T. Lehtimäki, V. Salomaa, O. Raitakari, S. A. Jones, G. K. Hovingh, K. K. Tsilidis, M.-R. Järvelin, and A. Dehghan (2023). "The interplay between inflammatory cytokines and cardiometabolic disease: bi-directional mendelian randomisation study." bmjmed 2(1): e000157. doi.org/10.1136/bmjmed-2022-000157.

2022

Bouras, E., V. Karhunen, D. Gill, J. Huang, P. C. Haycock, M. J. Gunter, M. Johansson, P. Brennan, T. Key, S. J. Lewis, R. M. Martin, N. Murphy, E. A. Platz, R. Travis, J. Yarmolinsky, V. Zuber, P. Martin, M. Katsoulis, H. Freisling, T. H. Nost, M. B. Schulze, L. Dossus, R. J. Hung, C. I. Amos, A. Ahola-Olli, S. Palaniswamy, M. Mannikko, J. Auvinen, K. H. Herzig, S. Keinanen-Kiukaanniemi, T. Lehtimaki, V. Salomaa, O. Raitakari, M. Salmi, S. Jalkanen, P. consortium, M. R. Jarvelin, A. Dehghan, and K. K. Tsilidis (2022). "Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis." BMC Med 20(1): 3. www.ncbi.nlm.nih.gov/pubmed/35012533.

Silbernagel, G., H. Scharnagl, C. H. Saely, M. Reinthaler, M. Rief, M. E. Kleber, B. Larcher, J. Chapman, J. R. Schaefer, H. Drexel, and W. März (2022). "The LDL Apolipoprotein B-to-LDL Cholesterol Ratio: Association with Cardiovascular Mortality and a Biomarker of Small, Dense LDLs." Biomedicines 10(6): 1302. www.mdpi.com/2227-9059/10/6/1302.

Zeng, L., S. Moser, N. Mirza-Schreiber, C. Lamina, S. Coassin, C. P. Nelson, T. Annilo, O. Franzén, M. E. Kleber, S. Mack, T. F. M. Andlauer, B. Jiang, B. Stiller, L. Li, C. Willenborg, M. Munz, T. Kessler, A. Kastrati, K.-L. Laugwitz, J. Erdmann, S. Moebus, M. M. Nöthen, A. Peters, K. Strauch, M. Müller-Nurasyid, C. Gieger, T. Meitinger, E. Steinhagen-Thiessen, W. März, A. Metspalu, J. L. M. Björkegren, N. J. Samani, F. Kronenberg, B. Müller-Myhsok, and H. Schunkert (2022). "Cis-epistasis at the LPA locus and risk of cardiovascular diseases." Cardiovasc Res 118(4): 1088–1102. doi.org/10.1093/cvr/cvab136.

2021

Banerjee, S., F. L. Simonetti, K. E. Detrois, A. Kaphle, R. Mitra, R. Nagial, and J. Söding (2021). "Tejaas: reverse regression increases power for detecting trans-eQTLs." Genome Biol 22(1): 1–16. doi.org/10.1186/s13059-021-02361-8.

Burgess, S., R. Malik, B. Liu, A. M. Mason, M. K. Georgakis, M. Dichgans, and D. Gill (2021). "Dose-response relationship between genetically proxied average blood glucose levels and incident coronary heart disease in individuals without diabetes mellitus." Diabetologia 64(4): 845-849. doi.org/10.1007/s00125-020-05377-0.

Dang, T. A., T. Kessler, J. Wobst, M. Wierer, I. Braenne, T. M. Strom, S. Tennstedt, H. B. Sager, T. Meitinger, J. Erdmann, and H. Schunkert (2021). "Identification of a Functional PDE5A Variant at the Chromosome 4q27 Coronary Artery Disease Locus in an Extended Myocardial Infarction Family." Circulation 144(8): 662-665. www.ncbi.nlm.nih.gov/pubmed/34424768.

Georgakis, M. K., R. Malik, X. Li, D. Gill, M. G. Levin, H. M. T. Vy, R. Judy, M. Ritchie, S. S. Verma, R. G. Center, G. N. Nadkarni, S. M. Damrauer, E. Theodoratou, and M. Dichgans (2021). "Genetically Downregulated Interleukin-6 Signaling Is Associated With a Favorable Cardiometabolic Profile." Circulation. www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.120.052604.

Georgakis, M. K., S. W. van der Laan, Y. Asare, J. M. Mekke, S. Haitjema, A. H. Schoneveld, S. C. A. de Jager, N. S. Nurmohamed, J. Kroon, E. S. G. Stroes, D. P. V. de Kleijn, G. J. de Borst, L. Maegdefessel, O. Soehnlein, G. Pasterkamp, and M. Dichgans (2021). "Monocyte-Chemoattractant Protein-1 Levels in Human Atherosclerotic Lesions Associate With Plaque Vulnerability." Arteriosclerosis, Thrombosis, and Vascular Biology. www.ahajournals.org/doi/10.1161/ATVBAHA.121.316091.

Gill, D., V. Karhunen, R. Malik, M. Dichgans, and N. Sofat (2021). "Cardiometabolic traits mediating the effect of education on osteoarthritis risk: a Mendelian randomization study." Osteoarthritis Cartilage 29(3): 365–371. doi.org/10.1016/j.joca.2020.12.015.

Malik, R., M. K. Georgakis, M. Vujkovic, S. M. Damrauer, P. Elliott, V. Karhunen, A. Giontella, C. Fava, J. N. Hellwege, M. M. Shuey, T. L. Edwards, T. Rogne, B. O. Åsvold, B. M. Brumpton, S. Burgess, M. Dichgans, and D. Gill (2021). "Relationship Between Blood Pressure and Incident Cardiovascular Disease: Linear and Nonlinear Mendelian Randomization Analyses." Hypertension. www.ahajournals.org/doi/10.1161/HYPERTENSIONAHA.120.16534.

Wierer, M., J. Werner, J. Wobst, A. Kastrati, G. Cepele, R. Aherrahrou, H. B. Sager, J. Erdmann, M. Dichgans, V. Flockerzi, M. Civelek, A. Dietrich, M. Mann, H. Schunkert, and T. Kessler (2021). "A proteomic atlas of the neointima identifies novel druggable targets for preventive therapy." Eur. Heart J. 42(18): 1773-1785. doi.org/10.1093/eurheartj/ehab140.

2020

Aherrahrou, R., A. E. Kulle, N. Alenina, R. Werner, S. Vens-Cappell, M. Bader, H. Schunkert, J. Erdmann, and Z. Aherrahrou (2020). "CYP17A1 deficient XY mice display susceptibility to atherosclerosis, altered lipidomic profile and atypical sex development." Sci Rep 10(8792): 1–11. doi.org/10.1038/s41598-020-65601-0.

Asare, Y., T. A. Campbell-James, Y. Bokov, L. L. Yu, M. Prestel, O. E. Bounkari, S. Roth, R. T. Megens, T. Straub, K. Thomas, G. Yan, M. Schneider, N. Ziesch, S. Tiedt, C. Silvestre-Roig, Q. Braster, Y. Huang, M. Schneider, R. Malik, C. Haffner, A. Liesz, O. Soehnlein, J. Bernhagen, and M. Dichgans (2020). "Histone Deacetylase 9 Activates IKK to Regulate Atherosclerotic Plaque Vulnerability." Circulation Research. www.ahajournals.org/doi/abs/10.1161/CIRCRESAHA.120.316743.

Benedetti, E., N. Gerstner, M. Pucic-Bakovic, T. Keser, K. R. Reiding, L. R. Ruhaak, T. Stambuk, M. H. J. Selman, I. Rudan, O. Polasek, C. Hayward, M. Beekman, E. Slagboom, M. Wuhrer, M. G. Dunlop, G. Lauc, and J. Krumsiek (2020). "Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference." METABOLITES 10(7). doi.org/10.3390/metabo10070271.

Benedetti, E., M. Pučić-Baković, T. Keser, N. Gerstner, M. Büyüközkan, T. Štambuk, M. H. J. Selman, I. Rudan, O. Polašek, C. Hayward, H. Al-Amin, K. Suhre, G. Kastenmüller, G. Lauc, and J. Krumsiek (2020). "A strategy to incorporate prior knowledge into correlation network cutoff selection." Nat Commun 11(5153): 1–12. doi.org/10.1038/s41467-020-18675-3.

Danesh, J., J. Erdmann, D. Gu, J. S. Kooner, R. Roberts, H. Schunkert, T. L. Assimes, S. Blankenberg, B. O. Boehm, J. C. Chambers, R. Clarke, R. Collins, G. Dedoussis, P. W. Franks, G. K. Hovingh, B.-J. Kim, T. Lehtimäki, R. McPherson, M. S. Nieminen, C. O’Donnell, S. Ripatti, M. S. Sandhu, S. Schreiber, A. Siegbahn, C. J. Willer, P. A. Zalloua, M. Mark, T. Kanninen, B. Thorand, G. Remuzzi, D. Dunger, A. Shore, U. Smith, P.-H. Groop, S. Ylä-Herttuala, C. Cobelli, R. Bellazzi, E. Ferrannini, C. Patrono, P. Nuutila, P. McKeague, B. Steckel-Hamann, L.-m. Gan, E. Nogoceke, P. Tortoli, B. Jablonka, and M.-J. Brosnan (2020). "Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus." Circ.: Genomic Precis Med. www.ahajournals.org/doi/full/10.1161/CIRCGEN.119.002769.

de Jong, L., I. Bobeldijk-Pastorova, J. Erdmann, M. Bijker-Schreurs, H. Schunkert, J. A. Kuivenhoven, and A. J. van Gool (2020). "Sharing lessons learnt across European cardiovascular research consortia." Drug Discovery Today. www.sciencedirect.com/science/article/pii/S1359644620300350.

Georgakis, M. K., J. A. de Lemos, C. Ayers, B. Wang, H. Björkbacka, T. A. Pana, B. Thorand, C. Sun, L. Fani, R. Malik, J. Dupuis, G. Engström, M. Orho-Melander, O. Melander, S. M. Boekholdt, A. Zierer, M. A. Elhadad, W. Koenig, C. Herder, R. C. Hoogeveen, M. Kavousi, C. M. Ballantyne, A. Peters, P. K. Myint, J. Nilsson, E. J. Benjamin, and M. Dichgans (2020). "Association of Circulating Monocyte Chemoattractant Protein–1 Levels With Cardiovascular Mortality: A Meta-analysis of Population-Based Studies." JAMA Cardiol. doi.org/10.1001/jamacardio.2020.5392.

Georgakis, M. K., D. Gill, R. Malik, A. D. Protogerou, A. J. S. Webb, and M. Dichgans (2020). "Genetically Predicted Blood Pressure Across the Lifespan Differential Effects of Mean and Pulse Pressure on Stroke Risk." HYPERTENSION 76(3): 953–961. doi.org/10.1161/HYPERTENSIONAHA.120.15136.

Georgakis, M. K., D. Gill, A. J. S. Webb, E. Evangelou, P. Elliott, C. L. M. Sudlow, A. Dehghan, R. Malik, I. Tzoulaki, and M. Dichgans (2020). "Genetically determined blood pressure, antihypertensive drug classes, and risk of stroke subtypes." Neurology 95(4): e353–e361. doi.org/10.1212/WNL.0000000000009814.

Georgakis, M. K., R. Malik, C. D. Anderson, K. G. Parhofer, J. C. Hopewell, and M. Dichgans (2020). "Genetic determinants of blood lipids and cerebral small vessel disease: role of high-density lipoprotein cholesterol." Brain 143(2): 597–610. doi.org/10.1093/brain/awz413.

Georgakis, M. K., R. Malik, D. Gill, N. Franceschini, C. L. M. Sudlow, and M. Dichgans (2020). "Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes A Mendelian Randomization Study." CIRCULATION-GENOMIC AND PRECISION MEDICINE 13(3): 168–171. doi.org/10.1161/CIRCGEN.119.002872.

Gill, D., M. K. Georgakis, V. Zuber, V. Karhunen, S. Burgess, R. Malik, and M. Dichgans (2020). "Genetically Predicted Midlife Blood Pressure and Coronary Artery Disease Risk: Mendelian Randomization Analysis." J Am Heart Assoc 9(14). doi.org/10.1161/JAHA.120.016773.

Silbernagel, G., H. Scharnagl, M. E. Kleber, M. M. Hoffmann, G. Delgado, T. Stojakovic, T. Gary, L. Zeng, A. Ritsch, S. Zewinger, T. Speer, H. Schunkert, U. Landmesser, W. März, and T. B. Grammer (2020). "Common APOC3 variants are associated with circulating ApoC-III and VLDL cholesterol but not with total apolipoprotein B and coronary artery disease." Atherosclerosis 311: 84–90. doi.org/10.1016/j.atherosclerosis.2020.08.017.

Tiedt, S., S. Brandmaier, H. Kollmeier, M. Duering, A. Artati, J. Adamski, M. Klein, T. Liebig, L. M. Holdt, D. Teupser, R. Wang-Sattler, E. Schwedhelm, C. Gieger, and M. Dichgans (2020). "Circulating Metabolites Differentiate Acute Ischemic Stroke from Stroke Mimics." Ann Neurol n/a(n/a). doi.org/10.1002/ana.25859.

2019

Agha, G., Mendelson, M. M., Ward-Caviness, C. K., Joehanes, R., Huan, T., Gondalia, R., Salfati, E., Brody, J. A., Fiorito, G., Bressler, J., Chen, B. H., Ligthart, S., Guarrera, S., Colicino, E., Just, A. C., Wahl, S., Gieger, C., Vandiver, A. R., Tanaka, T., Hernandez, D. G., Pilling, L. C., Singleton, A. B., Sacerdote, C., Krogh, V., Panico, S., Tumino, R., Li, Y., Zhang, G., Stewart, J. D., Floyd, J. S., Wiggins, K. L., Rotter, J. I., Multhaup, M., Bakulski, K., Horvath, S., Tsao, P. S., Absher, D. M., Vokonas, P., Hirschhorn, J., Fallin, M. D., Liu, C., Bandinelli, S., Boerwinkle, E., Dehghan, A., Schwartz, J. D., Psaty, B. M., Feinberg, A. P., Hou, L., Ferrucci, L., Sotoodehnia, N., Matullo, G., Peters, A., Fornage, M., Assimes, T. L., Whitsel, E. A., Levy, D. and Baccarelli, A. A. (2019). "Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease." Circulation 140(8): 645-657. www.ncbi.nlm.nih.gov/pubmed/31424985.

Do, K. T., Rasp, D. J. N., Kastenmuller, G., Suhre, K. and Krumsiek, J. (2019). "MoDentify: phenotype-driven module identification in metabolomics networks at different resolutions." Bioinformatics 35(3): 532-534. www.ncbi.nlm.nih.gov/pubmed/30032270.

Georgakis, M. K., Gill, D., Rannikmae, K., Traylor, M., Anderson, C. D., Lee, J. M., Kamatani, Y., Hopewell, J. C., Worrall, B. B., Bernhagen, J., Sudlow, C. L. M., Malik, R. and Dichgans, M. (2019). "Genetically Determined Levels of Circulating Cytokines and Risk of Stroke." Circulation 139(2): 256-268. www.ncbi.nlm.nih.gov/pubmed/30586705.

Georgakis, M. K., Malik, R., Bjorkbacka, H., Pana, T. A., Demissie, S., Ayers, C., Elhadad, M. A., Fornage, M., Beiser, A. S., Benjamin, E. J., Boekholdt, M. S., Engstrom, G., Herder, C., Hoogeveen, R. C., Koenig, W., Melander, O., Orho-Melander, M., Schiopu, A., Soderholm, M., Wareham, N., Ballantyne, C. M., Peters, A., Seshadri, S., Myint, P. K., Nilsson, J., de Lemos, J. A. and Dichgans, M. (2019). "Circulating Monocyte Chemoattractant Protein-1 and Risk of Stroke: A Meta-Analysis of Population-Based Studies Involving 17,180 Individuals." Circ Res. www.ncbi.nlm.nih.gov/pubmed/31476962.

Gergei, I., Kramer, B. K., Scharnagl, H., Stojakovic, T. and Marz, W. (2019). "Renal function, N-terminal Pro-B-Type natriuretic peptide, propeptide big-endothelin and patients with heart failure and preserved ejection fraction." Peptides 111: 112-117. www.ncbi.nlm.nih.gov/pubmed/29684593.

Kessler, T., Wolf, B., Eriksson, N., Kofink, D., Mahmoodi, B. K., Rai, H., Tragante, V., Akerblom, A., Becker, R. C., Bernlochner, I., Bopp, R., James, S., Katus, H. A., Mayer, K., Munz, M., Nordio, F., O'Donoghue, M. L., Sager, H. B., Sibbing, D., Solakov, L., Storey, R. F., Wobst, J., Asselbergs, F. W., Byrne, R. A., Erdmann, J., Koenig, W., Laugwitz, K. L., Ten Berg, J. M., Wallentin, L., Kastrati, A. and Schunkert, H. (2019). "Association of the coronary artery disease risk gene GUCY1A3 with ischaemic events after coronary intervention." Cardiovasc Res. www.ncbi.nlm.nih.gov/pubmed/30768153.

Peloso, G. M., Nomura, A., Khera, A. V., Chaffin, M., Won, H. H., Ardissino, D., Danesh, J., Schunkert, H., Wilson, J. G., Samani, N., Erdmann, J., McPherson, R., Watkins, H., Saleheen, D., McCarthy, S., Teslovich, T. M., Leader, J. B., Lester Kirchner, H., Marrugat, J., Nohara, A., Kawashiri, M. A., Tada, H., Dewey, F. E., Carey, D. J., Baras, A. and Kathiresan, S. (2019). "Rare Protein-Truncating Variants in APOB, Lower Low-Density Lipoprotein Cholesterol, and Protection Against Coronary Heart Disease." Circ Genom Precis Med 12(5): e002376. www.ncbi.nlm.nih.gov/pubmed/30939045.

Silbernagel, G., Scharnagl, H., Kleber, M. E., Delgado, G., Stojakovic, T., Laaksonen, R., Erdmann, J., Rankinen, T., Bouchard, C., Landmesser, U., Schunkert, H., Marz, W. and Grammer, T. B. (2019). "LDL triglycerides, hepatic lipase activity, and coronary artery disease: An epidemiologic and Mendelian randomization study." Atherosclerosis 282: 37-44. www.ncbi.nlm.nih.gov/pubmed/30685440.

Zeng, L., Ntalla, I., Kessler, T., Kastrati, A., Erdmann, J., Group, U. K. B. C. C. C. W., Danesh, J., Watkins, H., Samani, N. J., Deloukas, P. and Schunkert, H. (2019). "Genetically modulated educational attainment and coronary disease risk." Eur Heart J 40(29): 2413-2420. www.ncbi.nlm.nih.gov/pubmed/31170283.

2018

Banerjee, S., Zeng, L., Schunkert, H. and Soding, J. (2018). "Bayesian multiple logistic regression for case-control GWAS." PLoS Genet 14(12): e1007856. www.ncbi.nlm.nih.gov/pubmed/30596640.

Bauer, C., le Saux, O., Pomozi, V., Aherrahrou, R., Kriesen, R., Stölting, S., Liebers, A., Kessler, T., Schunkert, H., Erdmann, J. and Aherrahrou, Z. (2018). "Etidronate prevents dystrophic cardiac calcification by inhibiting macrophage aggregation." Scientific Reports 8(1): 5812. www.ncbi.nlm.nih.gov/pubmed/29643466.

Brainstorm, C., Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., Malik, R., Patsopoulos, N. A., Ripke, S., Wei, Z., Yu, D., Lee, P. H., Turley, P., Grenier-Boley, B., Chouraki, V., Kamatani, Y., Berr, C., Letenneur, L., Hannequin, D., Amouyel, P., Boland, A., Deleuze, J.-F., Duron, E., Vardarajan, B. N., Reitz, C., Goate, A. M., Huentelman, M. J., Kamboh, M. I., Larson, E. B., Rogaeva, E., St George-Hyslop, P., Hakonarson, H., Kukull, W. A., Farrer, L. A., Barnes, L. L., Beach, T. G., Demirci, F. Y., Head, E., Hulette, C. M., Jicha, G. A., Kauwe, J. S. K., Kaye, J. A., Leverenz, J. B., Levey, A. I., Lieberman, A. P., Pankratz, V. S., Poon, W. W., Quinn, J. F., Saykin, A. J., Schneider, L. S., Smith, A. G., Sonnen, J. A., Stern, R. A., Van Deerlin, V. M., Van Eldik, L. J., Harold, D., Russo, G., Rubinsztein, D. C., Bayer, A., Tsolaki, M., Proitsi, P., Fox, N. C., Hampel, H., Owen, M. J., Mead, S., Passmore, P., Morgan, K., Nöthen, M. M., Rossor, M., Lupton, M. K., Hoffmann, P., Kornhuber, J., Lawlor, B., McQuillin, A., Al-Chalabi, A., Bis, J. C., Ruiz, A., Boada, M., Seshadri, S., Beiser, A., Rice, K., van der Lee, S. J., De Jager, P. L., Geschwind, D. H., Riemenschneider, M., Riedel-Heller, S., Rotter, J. I., Ransmayr, G., Hyman, B. T., Cruchaga, C., Alegret, M., Winsvold, B., Palta, P., Farh, K.-H., Cuenca-Leon, E., Furlotte, N., Kurth, T., Ligthart, L., Terwindt, G. M., Freilinger, T., Ran, C., Gordon, S. D., Borck, G., Adams, H. H. H., Lehtimäki, T., Wedenoja, J., Buring, J. E., Schürks, M., Hrafnsdottir, M., Hottenga, J.-J., Penninx, B., Artto, V., Kaunisto, M., Vepsäläinen, S., Martin, N. G., Montgomery, G. W., Kurki, M. I., Hämäläinen, E., Huang, H., Huang, J., Sandor, C., Webber, C., Muller-Myhsok, B., Schreiber, S., Salomaa, V., Loehrer, E., Göbel, H., Macaya, A., Pozo-Rosich, P., Hansen, T., Werge, T., Kaprio, J., Metspalu, A., Kubisch, C., Ferrari, M. D., Belin, A. C., van den Maagdenberg, A. M. J. M., Zwart, J.-A., Boomsma, D., Eriksson, N., Olesen, J., Chasman, D. I., Nyholt, D. R., Avbersek, A., Baum, L., Berkovic, S., Bradfield, J., Buono, R., Catarino, C. B., Cossette, P., De Jonghe, P., Depondt, C., Dlugos, D., Ferraro, T. N., French, J., Hjalgrim, H., Jamnadas-Khoda, J., Kälviäinen, R., Kunz, W. S., Lerche, H., Leu, C., Lindhout, D., Lo, W., Lowenstein, D., McCormack, M., Møller, R. S., Molloy, A., Ng, P.-W., Oliver, K., Privitera, M., Radtke, R., Ruppert, A.-K., Sander, T., Schachter, S., Schankin, C., Scheffer, I., Schoch, S., Sisodiya, S. M., Smith, P., Sperling, M., Striano, P., Surges, R., Thomas, G. N., Visscher, F., Whelan, C. D., Zara, F., Heinzen, E. L., Marson, A., Becker, F., Stroink, H., Zimprich, F., Gasser, T., Gibbs, R., Heutink, P., Martinez, M., Morris, H. R., Sharma, M., Ryten, M., Mok, K. Y., Pulit, S., Bevan, S., Holliday, E., Attia, J., Battey, T., Boncoraglio, G., Thijs, V., Chen, W.-M., Mitchell, B., Rothwell, P., Sharma, P., Sudlow, C., Vicente, A., Markus, H., Kourkoulis, C., Pera, J., Raffeld, M., Silliman, S., Boraska Perica, V., Thornton, L. M., Huckins, L. M., William Rayner, N., Lewis, C. M., Gratacos, M., Rybakowski, F., Keski-Rahkonen, A., Raevuori, A., Hudson, J. I., Reichborn-Kjennerud, T., Monteleone, P., Karwautz, A., Mannik, K., Baker, J. H., O'Toole, J. K., Trace, S. E., Davis, O. S. P., Helder, S. G., Ehrlich, S., Herpertz-Dahlmann, B., Danner, U. N., van Elburg, A. A., Clementi, M., Forzan, M., Docampo, E., Lissowska, J., Hauser, J., Tortorella, A., Maj, M., Gonidakis, F., Tziouvas, K., Papezova, H., Yilmaz, Z., Wagner, G., Cohen-Woods, S., Herms, S., Julià, A., Rabionet, R., Dick, D. M., Ripatti, S., Andreassen, O. A., Espeseth, T., Lundervold, A. J., Steen, V. M., Pinto, D., Scherer, S. 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Malik, R. and Dichgans, M. (2018). "Challenges and opportunities in stroke genetics." Cardiovascular Research 114(9): 1226-1240. www.ncbi.nlm.nih.gov/pubmed/29554300.

Roselli, C., Chaffin, M. D., Weng, L. C., Aeschbacher, S., Ahlberg, G., Albert, C. M., Almgren, P., Alonso, A., Anderson, C. D., Aragam, K. G., Arking, D. E., Barnard, J., Bartz, T. M., Benjamin, E. J., Bihlmeyer, N. A., Bis, J. C., Bloom, H. L., Boerwinkle, E., Bottinger, E. B., Brody, J. A., Calkins, H., Campbell, A., Cappola, T. P., Carlquist, J., Chasman, D. I., Chen, L. Y., Chen, Y. I., Choi, E. K., Choi, S. H., Christophersen, I. E., Chung, M. K., Cole, J. W., Conen, D., Cook, J., Crijns, H. J., Cutler, M. J., Damrauer, S. M., Daniels, B. R., Darbar, D., Delgado, G., Denny, J. C., Dichgans, M., Dorr, M., Dudink, E. A., Dudley, S. C., Esa, N., Esko, T., Eskola, M., Fatkin, D., Felix, S. B., Ford, I., Franco, O. H., Geelhoed, B., Grewal, R. P., Gudnason, V., Guo, X., Gupta, N., Gustafsson, S., Gutmann, R., Hamsten, A., Harris, T. B., Hayward, C., Heckbert, S. R., Hernesniemi, J., Hocking, L. J., Hofman, A., Horimoto, A., Huang, J., Huang, P. L., Huffman, J., Ingelsson, E., Ipek, E. G., Ito, K., Jimenez-Conde, J., Johnson, R., Jukema, J. W., Kaab, S., Kahonen, M., Kamatani, Y., Kane, J. P., Kastrati, A., Kathiresan, S., Katschnig-Winter, P., Kavousi, M., Kessler, T., Kietselaer, B. L., Kirchhof, P., Kleber, M. E., Knight, S., Krieger, J. E., Kubo, M., Launer, L. J., Laurikka, J., Lehtimaki, T., Leineweber, K., Lemaitre, R. N., Li, M., Lim, H. E., Lin, H. J., Lin, H., Lind, L., Lindgren, C. M., Lokki, M. L., London, B., Loos, R. J. F., Low, S. K., Lu, Y., Lyytikainen, L. P., Macfarlane, P. W., Magnusson, P. K., Mahajan, A., Malik, R., Mansur, A. J., Marcus, G. M., Margolin, L., Margulies, K. B., Marz, W., McManus, D. D., Melander, O., Mohanty, S., Montgomery, J. A., Morley, M. P., Morris, A. P., Muller-Nurasyid, M., Natale, A., Nazarian, S., Neumann, B., Newton-Cheh, C., Niemeijer, M. N., Nikus, K., Nilsson, P., Noordam, R., Oellers, H., Olesen, M. S., Orho-Melander, M., Padmanabhan, S., Pak, H. N., Pare, G., Pedersen, N. L., Pera, J., Pereira, A., Porteous, D., Psaty, B. M., Pulit, S. L., Pullinger, C. R., Rader, D. J., Refsgaard, L., Ribases, M., Ridker, P. M., Rienstra, M., Risch, L., Roden, D. M., Rosand, J., Rosenberg, M. A., Rost, N., Rotter, J. I., Saba, S., Sandhu, R. K., Schnabel, R. B., Schramm, K., Schunkert, H., Schurman, C., Scott, S. A., Seppala, I., Shaffer, C., Shah, S., Shalaby, A. A., Shim, J., Shoemaker, M. B., Siland, J. E., Sinisalo, J., Sinner, M. F., Slowik, A., Smith, A. V., Smith, B. H., Smith, J. G., Smith, J. D., Smith, N. L., Soliman, E. Z., Sotoodehnia, N., Stricker, B. H., Sun, A., Sun, H., Svendsen, J. H., Tanaka, T., Tanriverdi, K., Taylor, K. D., Teder-Laving, M., Teumer, A., Theriault, S., Trompet, S., Tucker, N. R., Tveit, A., Uitterlinden, A. G., Van Der Harst, P., Van Gelder, I. C., Van Wagoner, D. R., Verweij, N., Vlachopoulou, E., Volker, U., Wang, B., Weeke, P. E., Weijs, B., Weiss, R., Weiss, S., Wells, Q. S., Wiggins, K. L., Wong, J. A., Woo, D., Worrall, B. B., Yang, P. S., Yao, J., Yoneda, Z. T., Zeller, T., Zeng, L., Lubitz, S. A., Lunetta, K. L. and Ellinor, P. T. (2018). "Multi-ethnic genome-wide association study for atrial fibrillation." Nat Genet 50(9): 1225-1233. www.ncbi.nlm.nih.gov/pubmed/29892015.

Schunkert, H. (2018). "Genetics of CVD in 2017: Expanding the spectrum of CVD genetics." Nature Reviews. Cardiology 15(2): 77-78. www.ncbi.nlm.nih.gov/pubmed/29263443.

Schunkert, H. and Samani, N. J. (2018). "Into the great wide open: 10 years of genome-wide association studies." Cardiovascular Research 114(9): 1189-1191. www.ncbi.nlm.nih.gov/pubmed/29688283.

Schunkert, H., von Scheidt, M., Kessler, T., Stiller, B., Zeng, L. and Vilne, B. (2018). "Genetics of coronary artery disease in the light of genome-wide association studies." Clinical Research in Cardiology: Official Journal of the German Cardiac Society 107(Suppl 2): 2-9. www.ncbi.nlm.nih.gov/pubmed/30022276.

Vilne, B. and Schunkert, H. (2018). "Integrating Genes Affecting Coronary Artery Disease in Functional Networks by Multi-OMICs Approach." Front Cardiovasc Med 5: 89. www.ncbi.nlm.nih.gov/pubmed/30065929.

Ward-Caviness, C. K., Agha, G., Chen, B. H., Pfeiffer, L., Wilson, R., Wolf, P., Gieger, C., Schwartz, J., Vokonas, P. S., Hou, L., Just, A. C., Bandinelli, S., Hernandez, D. G., Singleton, A. B., Prokisch, H., Meitinger, T., Kastenmüller, G., Ferrucci, L., Baccarelli, A. A., Waldenberger, M. and Peters, A. (2018). "Analysis of repeated leukocyte DNA methylation assessments reveals persistent epigenetic alterations after an incident myocardial infarction." Clinical Epigenetics 10(1): 161. www.ncbi.nlm.nih.gov/pubmed/30587240.

Wierer, M., Prestel, M., Schiller, H. B., Yan, G., Schaab, C., Azghandi, S., Werner, J., Kessler, T., Malik, R., Murgia, M., Aherrahrou, Z., Schunkert, H., Dichgans, M. and Mann, M. (2018). "Compartment-resolved Proteomic Analysis of Mouse Aorta during Atherosclerotic Plaque Formation Reveals Osteoclast-specific Protein Expression." Molecular & cellular proteomics: MCP 17(2): 321-334. www.ncbi.nlm.nih.gov/pubmed/29208753.

Wobst, J., Schunkert, H. and Kessler, T. (2018). "Genetic alterations in the NO-cGMP pathway and cardiovascular risk." Nitric Oxide: Biology and Chemistry 76: 105-112. www.ncbi.nlm.nih.gov/pubmed/29601927.

2017

Benedetti, E., Pučić-Baković, M., Keser, T., Wahl, A., Hassinen, A., Yang, J.-Y., Liu, L., Trbojević-Akmačić, I., Razdorov, G., Štambuk, J., Klarić, L., Ugrina, I., Selman, M.H.J., Wuhrer, M., Rudan, I., Polasek, O., Hayward, C., Grallert, H., Strauch, K., Peters, A., Meitinger, T., Gieger, C., Vilaj, M., Boons, G.-J., Moremen, K.W., Ovchinnikova, T., Bovin, N., Kellokumpu, S., Theis, F.J., Lauc, G., Krumsiek, J., 2017. Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway. Nat Commun 8, 1483. doi.org/10.1038/s41467-017-01525-0

Brænne, I., Zeng, L., Willenborg, C., Tragante, V., Kessler, T., CARDIoGRAM Consortium, CARDIoGRAMplusC4D Consortium, Willer, C.J., Laakso, M., Wallentin, L., Franks, P.W., Salomaa, V., Dehghan, A., Meitinger, T., Samani, N.J., Asselbergs, F.W., Erdmann, J., Schunkert, H., 2017. Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk. PLoS ONE 12, e0182999. doi.org/10.1371/journal.pone.0182999

Kessler, T., Wobst, J., Wolf, B., Eckhold, J., Vilne, B., Hollstein, R., von Ameln, S., Dang, T.A., Sager, H.B., Moritz Rumpf, P., Aherrahrou, R., Kastrati, A., Björkegren, J.L.M., Erdmann, J., Lusis, A.J., Civelek, M., Kaiser, F.J., Schunkert, H., 2017. Functional Characterization of the GUCY1A3 Coronary Artery Disease Risk Locus. Circulation 136, 476–489. doi.org/10.1161/CIRCULATIONAHA.116.024152

Lubitz, S.A., Parsons, O.E., Anderson, C.D., Benjamin, E.J., Malik, R., Weng, L.-C., Dichgans, M., Sudlow, C.L., Rothwell, P.M., Rosand, J., Ellinor, P.T., Markus, H.S., Traylor, M., WTCCC2, International Stroke Genetics Consortium, and AFGen Consortia, 2017. Atrial Fibrillation Genetic Risk and Ischemic Stroke Mechanisms. Stroke 48, 1451–1456. doi.org/10.1161/STROKEAHA.116.016198

Mirdita, M., von den Driesch, L., Galiez, C., Martin, M.J., Söding, J., Steinegger, M., 2017. Uniclust databases of clustered and deeply annotated protein sequences and alignments. Nucleic Acids Res. 45, D170–D176. doi.org/10.1093/nar/gkw1081

Nelson, C.P., Goel, A., Butterworth, A.S., Kanoni, S., Webb, T.R., Marouli, E., Zeng, L., Ntalla, I., Lai, F.Y., Hopewell, J.C., Giannakopoulou, O., Jiang, T., Hamby, S.E., Di Angelantonio, E., Assimes, T.L., Bottinger, E.P., Chambers, J.C., Clarke, R., Palmer, C.N.A., Cubbon, R.M., Ellinor, P., Ermel, R., Evangelou, E., Franks, P.W., Grace, C., Gu, D., Hingorani, A.D., Howson, J.M.M., Ingelsson, E., Kastrati, A., Kessler, T., Kyriakou, T., Lehtimäki, T., Lu, X., Lu, Y., März, W., McPherson, R., Metspalu, A., Pujades-Rodriguez, M., Ruusalepp, A., Schadt, E.E., Schmidt, A.F., Sweeting, M.J., Zalloua, P.A., AlGhalayini, K., Keavney, B.D., Kooner, J.S., Loos, R.J.F., Patel, R.S., Rutter, M.K., Tomaszewski, M., Tzoulaki, I., Zeggini, E., Erdmann, J., Dedoussis, G., Björkegren, J.L.M., EPIC-CVD Consortium, CARDIoGRAMplusC4D, UK Biobank CardioMetabolic Consortium CHD working group, Schunkert, H., Farrall, M., Danesh, J., Samani, N.J., Watkins, H., Deloukas, P., 2017. Association analyses based on false discovery rate implicate new loci for coronary artery disease. Nat. Genet. 49, 1385–1391. doi.org/10.1038/ng.3913

Phuah, C.-L., Dave, T., Malik, R., Raffeld, M.R., Ayres, A.M., Goldstein, J.N., Viswanathan, A., Greenberg, S.M., Jagiella, J.M., Hansen, B.M., Norrving, B., Jimenez-Conde, J., Roquer, J., Pichler, A., Enzinger, C., Montaner, J., Fernandez-Cadenas, I., Lindgren, A., Slowik, A., Schmidt, R., Biffi, A., Rost, N., Langefeld, C.D., Markus, H.S., Mitchell, B.D., Worrall, B.B., Kittner, S.J., Woo, D., Dichgans, M., Rosand, J., Anderson, C.D., METASTROKE, NINDS-SiGN Consortium, International Stroke Genetics Consortium, 2017. Genetic variants influencing elevated myeloperoxidase levels increase risk of stroke. Brain 140, 2663–2672. doi.org/10.1093/brain/awx220

Pomozi, V., Brampton, C., van de Wetering, K., Zoll, J., Calio, B., Pham, K., Owens, J.B., Marh, J., Moisyadi, S., Váradi, A., Martin, L., Bauer, C., Erdmann, J., Aherrahrou, Z., Le Saux, O., 2017. Pyrophosphate Supplementation Prevents Chronic and Acute Calcification in ABCC6-Deficient Mice. Am. J. Pathol. 187, 1258–1272. doi.org/10.1016/j.ajpath.2017.02.009

Silbernagel, G., Pagel, P., Pfahlert, V., Genser, B., Scharnagl, H., Kleber, M.E., Delgado, G., Ohrui, H., Ritsch, A., Grammer, T.B., Koenig, W., März, W., 2017. High-Density Lipoprotein Subclasses, Coronary Artery Disease, and Cardiovascular Mortality. Clin. Chem. 63, 1886–1896. doi.org/10.1373/clinchem.2017.275636

Steinegger, M., Söding, J., 2017. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nat. Biotechnol. 35, 1026–1028. doi.org/10.1038/nbt.3988

Tiedt, S., Prestel, M., Malik, R., Schieferdecker, N., Duering, M., Kautzky, V., Stoycheva, I., Böck, J., Northoff, B.H., Klein, M., Dorn, F., Krohn, K., Teupser, D., Liesz, A., Plesnila, N., Holdt, L.M., Dichgans, M., 2017. RNA-Seq Identifies Circulating miR-125a-5p, miR-125b-5p, and miR-143-3p as Potential Biomarkers for Acute Ischemic Stroke. Circ. Res. 121, 970–980. doi.org/10.1161/CIRCRESAHA.117.311572

Vilne, B., Skogsberg, J., Foroughi Asl, H., Talukdar, H.A., Kessler, T., Björkegren, J.L.M., Schunkert, H., 2017. Network analysis reveals a causal role of mitochondrial gene activity in atherosclerotic lesion formation. Atherosclerosis 267, 39–48. doi.org/10.1016/j.atherosclerosis.2017.10.019

von Scheidt, M., Zhao, Y., Kurt, Z., Pan, C., Zeng, L., Yang, X., Schunkert, H., Lusis, A.J., 2017. Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis. Cell Metab. 25, 248–261. doi.org/10.1016/j.cmet.2016.11.001

Ward-Caviness, C.K., Xu, T., Aspelund, T., Thorand, B., Montrone, C., Meisinger, C., Dunger-Kaltenbach, I., Zierer, A., Yu, Z., Helgadottir, I.R., Harris, T.B., Launer, L.J., Ganna, A., Lind, L., Eiriksdottir, G., Waldenberger, M., Prehn, C., Suhre, K., Illig, T., Adamski, J., Ruepp, A., Koenig, W., Gudnason, V., Emilsson, V., Wang-Sattler, R., Peters, A., 2017. Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers. Heart 103, 1278–1285. doi.org/10.1136/heartjnl-2016-310789

Webb, T.R., Erdmann, J., Stirrups, K.E., Stitziel, N.O., Masca, N.G.D., Jansen, H., Kanoni, S., Nelson, C.P., Ferrario, P.G., König, I.R., Eicher, J.D., Johnson, A.D., Hamby, S.E., Betsholtz, C., Ruusalepp, A., Franzén, O., Schadt, E.E., Björkegren, J.L.M., Weeke, P.E., Auer, P.L., Schick, U.M., Lu, Y., Zhang, H., Dube, M.-P., Goel, A., Farrall, M., Peloso, G.M., Won, H.-H., Do, R., van Iperen, E., Kruppa, J., Mahajan, A., Scott, R.A., Willenborg, C., Braund, P.S., van Capelleveen, J.C., Doney, A.S.F., Donnelly, L.A., Asselta, R., Merlini, P.A., Duga, S., Marziliano, N., Denny, J.C., Shaffer, C., El-Mokhtari, N.E., Franke, A., Heilmann, S., Hengstenberg, C., Hoffmann, P., Holmen, O.L., Hveem, K., Jansson, J.-H., Jöckel, K.-H., Kessler, T., Kriebel, J., Laugwitz, K.L., Marouli, E., Martinelli, N., McCarthy, M.I., Van Zuydam, N.R., Meisinger, C., Esko, T., Mihailov, E., Escher, S.A., Alver, M., Moebus, S., Morris, A.D., Virtamo, J., Nikpay, M., Olivieri, O., Provost, S., AlQarawi, A., Robertson, N.R., Akinsansya, K.O., Reilly, D.F., Vogt, T.F., Yin, W., Asselbergs, F.W., Kooperberg, C., Jackson, R.D., Stahl, E., Müller-Nurasyid, M., Strauch, K., Varga, T.V., Waldenberger, M., Zeng, L., Chowdhury, R., Salomaa, V., Ford, I., Jukema, J.W., Amouyel, P., Kontto, J., Nordestgaard, B.G., Ferrières, J., Saleheen, D., Sattar, N., Surendran, P., Wagner, A., Young, R., Howson, J.M.M., Butterworth, A.S., Danesh, J., Ardissino, D., Bottinger, E.P., Erbel, R., Franks, P.W., Girelli, D., Hall, A.S., Hovingh, G.K., Kastrati, A., Lieb, W., Meitinger, T., Kraus, W.E., Shah, S.H., McPherson, R., Orho-Melander, M., Melander, O., Metspalu, A., Palmer, C.N.A., Peters, A., Rader, D.J., Reilly, M.P., Loos, R.J.F., Reiner, A.P., Roden, D.M., Tardif, J.-C., Thompson, J.R., Wareham, N.J., Watkins, H., Willer, C.J., Samani, N.J., Schunkert, H., Deloukas, P., Kathiresan, S., 2017. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease. Journal of the American College of Cardiology 69, 823–836. doi.org/10.1016/j.jacc.2016.11.056

Wilson, R., Wahl, S., Pfeiffer, L., Ward-Caviness, C.K., Kunze, S., Kretschmer, A., Reischl, E., Peters, A., Gieger, C., Waldenberger, M., 2017. The dynamics of smoking-related disturbed methylation: a two time-point study of methylation change in smokers, non-smokers and former smokers. BMC Genomics 18, 805. doi.org/10.1186/s12864-017-4198-0

2016

Aherrahrou, Z., Schlossarek, S., Stoelting, S., Klinger, M., Geertz, B., Weinberger, F., Kessler, T., Aherrahrou, R., Moreth, K., Bekeredjian, R., Hrabě de Angelis, M., Just, S., Rottbauer, W., Eschenhagen, T., Schunkert, H., Carrier, L., Erdmann, J., 2016. Knock-out of nexilin in mice leads to dilated cardiomyopathy and endomyocardial fibroelastosis. Basic Res. Cardiol. 111, 6. doi.org/10.1007/s00395-015-0522-5

Altmaier, E., Menni, C., Heier, M., Meisinger, C., Thorand, B., Quell, J., Kobl, M., Römisch-Margl, W., Valdes, A.M., Mangino, M., Waldenberger, M., Strauch, K., Illig, T., Adamski, J., Spector, T., Gieger, C., Suhre, K., Kastenmüller, G., 2016. The Pharmacogenetic Footprint of ACE Inhibition: A Population-Based Metabolomics Study. PLoS ONE 11, e0153163. doi.org/10.1371/journal.pone.0153163

Alva, V., Nam, S.-Z., Söding, J., Lupas, A.N., 2016. The MPI bioinformatics Toolkit as an integrative platform for advanced protein sequence and structure analysis. Nucleic Acids Res. 44, W410–W415. doi.org/10.1093/nar/gkw348

Emdin, C.A., Khera, A.V., Natarajan, P., Klarin, D., Won, H.-H., Peloso, G.M., Stitziel, N.O., Nomura, A., Zekavat, S.M., Bick, A.G., Gupta, N., Asselta, R., Duga, S., Merlini, P.A., Correa, A., Kessler, T., Wilson, J.G., Bown, M.J., Hall, A.S., Braund, P.S., Samani, N.J., Schunkert, H., Marrugat, J., Elosua, R., McPherson, R., Farrall, M., Watkins, H., Willer, C., Abecasis, G.R., Felix, J.F., Vasan, R.S., Lander, E., Rader, D.J., Danesh, J., Ardissino, D., Gabriel, S., Saleheen, D., Kathiresan, S., CHARGE–Heart Failure Consortium, CARDIoGRAM Exome Consortium, 2016. Phenotypic Characterization of Genetically Lowered Human Lipoprotein(a) Levels. J. Am. Coll. Cardiol. 68, 2761–2772. doi.org/10.1016/j.jacc.2016.10.033

Gola, D., Mahachie John, J.M., van Steen, K., König, I.R., 2016. A roadmap to multifactor dimensionality reduction methods. Brief. Bioinformatics 17, 293–308. doi.org/10.1093/bib/bbv038

Hauser, M., Steinegger, M., Söding, J., 2016. MMseqs software suite for fast and deep clustering and searching of large protein sequence sets. Bioinformatics 32, 1323–1330. doi.org/10.1093/bioinformatics/btw006

Hinds, D.A., Buil, A., Ziemek, D., Martinez-Perez, A., Malik, R., Folkersen, L., Germain, M., Mälarstig, A., Brown, A., Soria, J.M., Dichgans, M., Bing, N., Franco-Cereceda, A., Souto, J.C., Dermitzakis, E.T., Hamsten, A., Worrall, B.B., Tung, J.Y., METASTROKE Consortium, INVENT Consortium, Sabater-Lleal, M., 2016. Genome-wide association analysis of self-reported events in 6135 individuals and 252 827 controls identifies 8 loci associated with thrombosis. Hum. Mol. Genet. 25, 1867–1874. doi.org/10.1093/hmg/ddw037

Kessler, T., Erdmann, J., Vilne, B., Bruse, P., Kurowski, V., Diemert, P., Schunkert, H., Sager, H.B., 2016a. Serum microRNA-1233 is a specific biomarker for diagnosing acute pulmonary embolism. J Transl Med 14, 120. doi.org/10.1186/s12967-016-0886-9

Kessler, T., Vilne, B., Schunkert, H., 2016b. The impact of genome-wide association studies on the pathophysiology and therapy of cardiovascular disease. EMBO Mol Med 8, 688–701. doi.org/10.15252/emmm.201506174

Khera, A.V., Won, H.-H., Peloso, G.M., Lawson, K.S., Bartz, T.M., Deng, X., van Leeuwen, E.M., Natarajan, P., Emdin, C.A., Bick, A.G., Morrison, A.C., Brody, J.A., Gupta, N., Nomura, A., Kessler, T., Duga, S., Bis, J.C., van Duijn, C.M., Cupples, L.A., Psaty, B., Rader, D.J., Danesh, J., Schunkert, H., McPherson, R., Farrall, M., Watkins, H., Lander, E., Wilson, J.G., Correa, A., Boerwinkle, E., Merlini, P.A., Ardissino, D., Saleheen, D., Gabriel, S., Kathiresan, S., 2016. Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia. J. Am. Coll. Cardiol. 67, 2578–2589. doi.org/10.1016/j.jacc.2016.03.520

Knacke, H., Pietzner, M., Do, K.T., Römisch-Margl, W., Kastenmüller, G., Völker, U., Völzke, H., Krumsiek, J., Artati, A., Wallaschofski, H., Nauck, M., Suhre, K., Adamski, J., Friedrich, N., 2016. Metabolic Fingerprints of Circulating IGF-1 and the IGF-1/IGFBP-3 Ratio: A Multifluid Metabolomics Study. J. Clin. Endocrinol. Metab. 101, 4730–4742. doi.org/10.1210/jc.2016-2588

König, I.R., Auerbach, J., Gola, D., Held, E., Holzinger, E.R., Legault, M.-A., Sun, R., Tintle, N., Yang, H.-C., 2016. Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19. BMC Genet. 17 Suppl 2, 1. doi.org/10.1186/s12863-015-0315-8

Krumsiek, J., Bartel, J., Theis, F.J., 2016. Computational approaches for systems metabolomics. Curr. Opin. Biotechnol. 39, 198–206. doi.org/10.1016/j.copbio.2016.04.009

Laimighofer, M., Krumsiek, J., Buettner, F., Theis, F.J., 2016. Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression. J. Comput. Biol. 23, 279–290. doi.org/10.1089/cmb.2015.0192

Ligthart, S., Marzi, C., Aslibekyan, S., Mendelson, M.M., Conneely, K.N., Tanaka, T., Colicino, E., Waite, L.L., Joehanes, R., Guan, W., Brody, J.A., Elks, C., Marioni, R., Jhun, M.A., Agha, G., Bressler, J., Ward-Caviness, C.K., Chen, B.H., Huan, T., Bakulski, K., Salfati, E.L., WHI-EMPC Investigators, Fiorito, G., CHARGE epigenetics of Coronary Heart Disease, Wahl, S., Schramm, K., Sha, J., Hernandez, D.G., Just, A.C., Smith, J.A., Sotoodehnia, N., Pilling, L.C., Pankow, J.S., Tsao, P.S., Liu, C., Zhao, W., Guarrera, S., Michopoulos, V.J., Smith, A.K., Peters, M.J., Melzer, D., Vokonas, P., Fornage, M., Prokisch, H., Bis, J.C., Chu, A.Y., Herder, C., Grallert, H., Yao, C., Shah, S., McRae, A.F., Lin, H., Horvath, S., Fallin, D., Hofman, A., Wareham, N.J., Wiggins, K.L., Feinberg, A.P., Starr, J.M., Visscher, P.M., Murabito, J.M., Kardia, S.L.R., Absher, D.M., Binder, E.B., Singleton, A.B., Bandinelli, S., Peters, A., Waldenberger, M., Matullo, G., Schwartz, J.D., Demerath, E.W., Uitterlinden, A.G., van Meurs, J.B.J., Franco, O.H., Chen, Y.-D.I., Levy, D., Turner, S.T., Deary, I.J., Ressler, K.J., Dupuis, J., Ferrucci, L., Ong, K.K., Assimes, T.L., Boerwinkle, E., Koenig, W., Arnett, D.K., Baccarelli, A.A., Benjamin, E.J., Dehghan, A., 2016. DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol. 17, 255. doi.org/10.1186/s13059-016-1119-5

Loley, C., Alver, M., Assimes, T.L., Bjonnes, A., Goel, A., Gustafsson, S., Hernesniemi, J., Hopewell, J.C., Kanoni, S., Kleber, M.E., Lau, K.W., Lu, Y., Lyytikäinen, L.-P., Nelson, C.P., Nikpay, M., Qu, L., Salfati, E., Scholz, M., Tukiainen, T., Willenborg, C., Won, H.-H., Zeng, L., Zhang, W., Anand, S.S., Beutner, F., Bottinger, E.P., Clarke, R., Dedoussis, G., Do, R., Esko, T., Eskola, M., Farrall, M., Gauguier, D., Giedraitis, V., Granger, C.B., Hall, A.S., Hamsten, A., Hazen, S.L., Huang, J., Kähönen, M., Kyriakou, T., Laaksonen, R., Lind, L., Lindgren, C., Magnusson, P.K.E., Marouli, E., Mihailov, E., Morris, A.P., Nikus, K., Pedersen, N., Rallidis, L., Salomaa, V., Shah, S.H., Stewart, A.F.R., Thompson, J.R., Zalloua, P.A., Chambers, J.C., Collins, R., Ingelsson, E., Iribarren, C., Karhunen, P.J., Kooner, J.S., Lehtimäki, T., Loos, R.J.F., März, W., McPherson, R., Metspalu, A., Reilly, M.P., Ripatti, S., Sanghera, D.K., Thiery, J., Watkins, H., Deloukas, P., Kathiresan, S., Samani, N.J., Schunkert, H., Erdmann, J., König, I.R., 2016. No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis. Sci Rep 6, 35278. doi.org/10.1038/srep35278

Malik, R., Traylor, M., Pulit, S.L., Bevan, S., Hopewell, J.C., Holliday, E.G., Zhao, W., Abrantes, P., Amouyel, P., Attia, J.R., Battey, T.W.K., Berger, K., Boncoraglio, G.B., Chauhan, G., Cheng, Y.-C., Chen, W.-M., Clarke, R., Cotlarciuc, I., Debette, S., Falcone, G.J., Ferro, J.M., Gamble, D.M., Ilinca, A., Kittner, S.J., Kourkoulis, C.E., Lemmens, R., Levi, C.R., Lichtner, P., Lindgren, A., Liu, J., Meschia, J.F., Mitchell, B.D., Oliveira, S.A., Pera, J., Reiner, A.P., Rothwell, P.M., Sharma, P., Slowik, A., Sudlow, C.L.M., Tatlisumak, T., Thijs, V., Vicente, A.M., Woo, D., Seshadri, S., Saleheen, D., Rosand, J., Markus, H.S., Worrall, B.B., Dichgans, M., ISGC Analysis Group, METASTROKE collaboration, Wellcome Trust Case Control Consortium 2 (WTCCC2), NINDS Stroke Genetics Network (SiGN), 2016. Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration. Neurology 86, 1217–1226. doi.org/10.1212/WNL.0000000000002528

Marzi, C., Holdt, L.M., Fiorito, G., Tsai, P.-C., Kretschmer, A., Wahl, S., Guarrera, S., Teupser, D., Spector, T.D., Iacoviello, L., Sacerdote, C., Strauch, K., Lee, S., Thasler, W.E., Peters, A., Thorand, B., Wolf, P., Prokisch, H., Tumino, R., Gieger, C., Krogh, V., Panico, S., Bell, J.T., Matullo, G., Waldenberger, M., Grallert, H., Koenig, W., 2016. Epigenetic Signatures at AQP3 and SOCS3 Engage in Low-Grade Inflammation across Different Tissues. PLoS ONE 11, e0166015. doi.org/10.1371/journal.pone.0166015

Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators, 2016. Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease. N. Engl. J. Med. 374, 1134–1144. doi.org/10.1056/NEJMoa1507652

Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Stroke Genetics Network (SiGN), International Stroke Genetics Consortium (ISGC), 2016. Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies. Lancet Neurol 15, 695–707. doi.org/10.1016/S1474-4422(16)00102-2

NINDS Stroke Genetics Network (SiGN, International Stroke Genetics Consortium (ISGC), 2016. Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study. The Lancet Neurology 15, 174–184. doi.org/10.1016/S1474-4422(15)00338-5

Siebert, M., Söding, J., 2016. Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences. Nucleic Acids Res. 44, 6055–6069. doi.org/10.1093/nar/gkw521

Simpkin, A.J., Hemani, G., Suderman, M., Gaunt, T.R., Lyttleton, O., Mcardle, W.L., Ring, S.M., Sharp, G.C., Tilling, K., Horvath, S., Kunze, S., Peters, A., Waldenberger, M., Ward-Caviness, C., Nohr, E.A., Sørensen, T.I.A., Relton, C.L., Smith, G.D., 2016. Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies. Hum. Mol. Genet. 25, 191–201. doi.org/10.1093/hmg/ddv456

Stützer, A., Liokatis, S., Kiesel, A., Schwarzer, D., Sprangers, R., Söding, J., Selenko, P., Fischle, W., 2016. Modulations of DNA Contacts by Linker Histones and Post-translational Modifications Determine the Mobility and Modifiability of Nucleosomal H3 Tails. Mol. Cell 61, 247–259. doi.org/10.1016/j.molcel.2015.12.015

Wright, M.N., Ziegler, A., König, I.R., 2016. Do little interactions get lost in dark random forests? BMC Bioinformatics 17, 145. http://doi.org/10.1186/s12859-016-0995-8

2015

Alva, V., Söding, J., Lupas, A.N., 2015. A vocabulary of ancient peptides at the origin of folded proteins. Elife 4, e09410. doi.org/10.7554/eLife.09410

Brænne, I., Civelek, M., Vilne, B., Di Narzo, A., Johnson, A.D., Zhao, Y., Reiz, B., Codoni, V., Webb, T.R., Foroughi Asl, H., Hamby, S.E., Zeng, L., Trégouët, D.-A., Hao, K., Topol, E.J., Schadt, E.E., Yang, X., Samani, N.J., Björkegren, J.L.M., Erdmann, J., Schunkert, H., Lusis, A.J., Leducq Consortium CAD Genomics‡, 2015. Prediction of Causal Candidate Genes in Coronary Artery Disease Loci. Arterioscler. Thromb. Vasc. Biol. 35, 2207–2217. doi.org/10.1161/ATVBAHA.115.306108

Brandenburg, V.M., Kleber, M.E., Vervloet, M.G., Larsson, T.E., Tomaschitz, A., Pilz, S., Stojakovic, T., Delgado, G., Grammer, T.B., Marx, N., März, W., Scharnagl, H., 2015. Soluble klotho and mortality: the Ludwigshafen Risk and Cardiovascular Health Study. Atherosclerosis 242, 483–489. doi.org/10.1016/j.atherosclerosis.2015.08.017

Do, K.T., Kastenmüller, G., Mook-Kanamori, D.O., Yousri, N.A., Theis, F.J., Suhre, K., Krumsiek, J., 2015. Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva. J. Proteome Res. 14, 1183–1194. doi.org/10.1021/pr501130a

Engelhardt, S., Sassi, Y., 2015. MicroRNA Augmentation of Bone Marrow-Derived Cell Therapy. J. Am. Coll. Cardiol. 66, 2227–2229. doi.org/10.1016/j.jacc.2015.09.053

Forstner, A.J., Hofmann, A., Maaser, A., Sumer, S., Khudayberdiev, S., Mühleisen, T.W., Leber, M., Schulze, T.G., Strohmaier, J., Degenhardt, F., Treutlein, J., Mattheisen, M., Schumacher, J., Breuer, R., Meier, S., Herms, S., Hoffmann, P., Lacour, A., Witt, S.H., Reif, A., Müller-Myhsok, B., Lucae, S., Maier, W., Schwarz, M., Vedder, H., Kammerer-Ciernioch, J., Pfennig, A., Bauer, M., Hautzinger, M., Moebus, S., Priebe, L., Sivalingam, S., Verhaert, A., Schulz, H., Czerski, P.M., Hauser, J., Lissowska, J., Szeszenia-Dabrowska, N., Brennan, P., McKay, J.D., Wright, A., Mitchell, P.B., Fullerton, J.M., Schofield, P.R., Montgomery, G.W., Medland, S.E., Gordon, S.D., Martin, N.G., Krasnov, V., Chuchalin, A., Babadjanova, G., Pantelejeva, G., Abramova, L.I., Tiganov, A.S., Polonikov, A., Khusnutdinova, E., Alda, M., Cruceanu, C., Rouleau, G.A., Turecki, G., Laprise, C., Rivas, F., Mayoral, F., Kogevinas, M., Grigoroiu-Serbanescu, M., Propping, P., Becker, T., Rietschel, M., Cichon, S., Schratt, G., Nöthen, M.M., 2015. Genome-wide analysis implicates microRNAs and their target genes in the development of bipolar disorder. Transl Psychiatry 5, e678. doi.org/10.1038/tp.2015.159

Jansen, H., Loley, C., Lieb, W., Pencina, M.J., Nelson, C.P., Kathiresan, S., Peloso, G.M., Voight, B.F., Reilly, M.P., Assimes, T.L., Boerwinkle, E., Hengstenberg, C., Laaksonen, R., McPherson, R., Roberts, R., Thorsteinsdottir, U., Peters, A., Gieger, C., Rawal, R., Thompson, J.R., König, I.R., CARDIoGRAM consortium, Vasan, R.S., Erdmann, J., Samani, N.J., Schunkert, H., 2015a. Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk. Atherosclerosis 241, 419–426. doi.org/10.1016/j.atherosclerosis.2015.05.033

Jansen, H., Willenborg, C., Schlesinger, S., Ferrario, P.G., König, I.R., Erdmann, J., Samani, N.J., Lieb, W., Schunkert, H., 2015b. Genetic variants associated with celiac disease and the risk for coronary artery disease. Mol. Genet. Genomics 290, 1911–1917. doi.org/10.1007/s00438-015-1045-3

Kastenmüller, G., Raffler, J., Gieger, C., Suhre, K., 2015. Genetics of human metabolism: an update. Hum. Mol. Genet. 24, R93–R101. doi.org/10.1093/hmg/ddv263

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