e:AtheroSysMed

Publikationen

2018

Bauer, C., le Saux, O., Pomozi, V., Aherrahrou, R., Kriesen, R., Stölting, S., Liebers, A., Kessler, T., Schunkert, H., Erdmann, J., Aherrahrou, Z., 2018. Etidronate prevents dystrophic cardiac calcification by inhibiting macrophage aggregation. Sci Rep 8, 5812. doi.org/10.1038/s41598-018-24228-y

Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., …., Nöthen, M.M., ..., Muller-Myhsok, B., Schreiber, S., ... Gasser, T., Gibbs, R., Heutink, P., …., Banaschewski, T., …, Schulze, T.G…, Cichon, S., Mühleisen, T.W., Degenhardt, F., …., Forstner, A.J., Streit, F., Baune, B.T., …., Dichgans, M., et al.,2018. Analysis of shared heritability in common disorders of the brain. Science 360. doi.org/10.1126/science.aap8757

Do, K.T., Wahl, S., Raffler, J., Molnos, S., Laimighofer, M., Adamski, J., Suhre, K., Strauch, K., Peters, A., Gieger, C., Langenberg, C., Stewart, I.D., Theis, F.J., Grallert, H., Kastenmüller, G., Krumsiek, J., 2018. Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 14, 128. doi.org/10.1007/s11306-018-1420-2

Erdmann, J., Kessler, T., Munoz Venegas, L., Schunkert, H., 2018a. A decade of genome-wide association studies for coronary artery disease: The challenges ahead. Cardiovasc Res. doi.org/10.1093/cvr/cvy084

Erdmann, J., Kessler, T., Munoz Venegas, L., Schunkert, H., 2018b. A decade of genome-wide association studies for coronary artery disease: the challenges ahead. Cardiovasc. Res. 114, 1241–1257. doi.org/10.1093/cvr/cvy084

Ferrario, P.G., König, I.R., 2018. Transferring entropy to the realm of GxG interactions. Brief. Bioinformatics 19, 136–147. doi.org/10.1093/bib/bbw086

Hopewell, J.C., Malik, R., Valdés-Márquez, E., Worrall, B.B., Collins, R., METASTROKE Collaboration of the ISGC, 2018. Differential effects of PCSK9 variants on risk of coronary disease and ischaemic stroke. Eur. Heart J. 39, 354–359. doi.org/10.1093/eurheartj/ehx373

Malik, R., Dichgans, M., 2018. Challenges and opportunities in stroke genetics. Cardiovasc. Res. 114, 1226–1240. doi.org/10.1093/cvr/cvy068

Schunkert, H., 2018. Genetics of CVD in 2017: Expanding the spectrum of CVD genetics. Nat Rev Cardiol 15, 77–78. doi.org/10.1038/nrcardio.2017.209

Schunkert, H., Samani, N.J., 2018. Into the great wide open: 10 years of genome-wide association studies. Cardiovasc. Res. 114, 1189–1191. doi.org/10.1093/cvr/cvy100

Schunkert, H., von Scheidt, M., Kessler, T., Stiller, B., Zeng, L., Vilne, B., 2018. Genetics of coronary artery disease in the light of genome-wide association studies. Clin Res Cardiol 107, 2–9. doi.org/10.1007/s00392-018-1324-1

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., Mann, M., 2018. Compartment-resolved Proteomic Analysis of Mouse Aorta during Atherosclerotic Plaque Formation Reveals Osteoclast-specific Protein Expression. Mol. Cell Proteomics 17, 321–334. doi.org/10.1074/mcp.RA117.000315

Wobst, J., Schunkert, H., Kessler, T., 2018. Genetic alterations in the NO-cGMP pathway and cardiovascular risk. Nitric Oxide 76, 105–112. doi.org/10.1016/j.niox.2018.03.019

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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Kessler, T., Zhang, L., Liu, Z., Yin, X., Huang, Y., Wang, Y., Fu, Y., Mayr, M., Ge, Q., Xu, Q., Zhu, Y., Wang, X., Schmidt, K., de Wit, C., Erdmann, J., Schunkert, H., Aherrahrou, Z., Kong, W., 2015. ADAMTS-7 inhibits re-endothelialization of injured arteries and promotes vascular remodeling through cleavage of thrombospondin-1. Circulation 131, 1191–1201. doi.org/10.1161/CIRCULATIONAHA.114.014072

Meier, A., Söding, J., 2015. Automatic Prediction of Protein 3D Structures by Probabilistic Multi-template Homology Modeling. PLoS Comput. Biol. 11, e1004343. doi.org/10.1371/journal.pcbi.1004343

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Peters, M.J., Joehanes, R., Pilling, L.C., Schurmann, C., Conneely, K.N., Powell, J., Reinmaa, E., Sutphin, G.L., Zhernakova, A., Schramm, K., Wilson, Y.A., Kobes, S., Tukiainen, T., NABEC/UKBEC Consortium, Ramos, Y.F., Göring, H.H.H., Fornage, M., Liu, Y., Gharib, S.A., Stranger, B.E., De Jager, P.L., Aviv, A., Levy, D., Murabito, J.M., Munson, P.J., Huan, T., Hofman, A., Uitterlinden, A.G., Rivadeneira, F., van Rooij, J., Stolk, L., Broer, L., Verbiest, M.M.P.J., Jhamai, M., Arp, P., Metspalu, A., Tserel, L., Milani, L., Samani, N.J., Peterson, P., Kasela, S., Codd, V., Peters, A., Ward-Caviness, C.K., Herder, C., Waldenberger, M., Roden, M., Singmann, P., Zeilinger, S., Illig, T., Homuth, G., Grabe, H.-J., Völzke, H., Steil, L., Kocher, T., Murray, A., Melzer, D., Yaghootkar, H., Bandinelli, S., Moses, E.K., Kent, J.W., Curran, J.E., Johnson, M.P., Williams-Blangero, S., Westra, H.-J., McRae, A.F., Smith, J.A., Kardia, S.L.R., Hovatta, I., Perola, M., Ripatti, S., Salomaa, V., Henders, A.K., Martin, N.G., Smith, A.K., Mehta, D., Binder, E.B., Nylocks, K.M., Kennedy, E.M., Klengel, T., Ding, J., Suchy-Dicey, A.M., Enquobahrie, D.A., Brody, J., Rotter, J.I., Chen, Y.-D.I., Houwing-Duistermaat, J., Kloppenburg, M., Slagboom, P.E., Helmer, Q., den Hollander, W., Bean, S., Raj, T., Bakhshi, N., Wang, Q.P., Oyston, L.J., Psaty, B.M., Tracy, R.P., Montgomery, G.W., Turner, S.T., Blangero, J., Meulenbelt, I., Ressler, K.J., Yang, J., Franke, L., Kettunen, J., Visscher, P.M., Neely, G.G., Korstanje, R., Hanson, R.L., Prokisch, H., Ferrucci, L., Esko, T., Teumer, A., van Meurs, J.B.J., Johnson, A.D., 2015. The transcriptional landscape of age in human peripheral blood. Nat Commun 6, 8570. doi.org/10.1038/ncomms9570

Sass, S., Pitea, A., Unger, K., Hess, J., Mueller, N.S., Theis, F.J., 2015. MicroRNA-Target Network Inference and Local Network Enrichment Analysis Identify Two microRNA Clusters with Distinct Functions in Head and Neck Squamous Cell Carcinoma. Int J Mol Sci 16, 30204–30222. doi.org/10.3390/ijms161226230

Tomaschitz, A., Pilz, S., Rus-Machan, J., Meinitzer, A., Brandenburg, V.M., Scharnagl, H., Kapl, M., Grammer, T., Ritz, E., Horina, J.H., Kleber, M.E., Pieske, B., Kraigher-Krainer, E., Hartaigh, B.Ó., Toplak, H., van Ballegooijen, A.J., Amrein, K., Fahrleitner-Pammer, A., März, W., 2015. Interrelated aldosterone and parathyroid hormone mutually modify cardiovascular mortality risk. Int. J. Cardiol. 184, 710–716. doi.org/10.1016/j.ijcard.2015.03.062

Yousri, N.A., Mook-Kanamori, D.O., Selim, M.M.E.-D., Takiddin, A.H., Al-Homsi, H., Al-Mahmoud, K.A.S., Karoly, E.D., Krumsiek, J., Do, K.T., Do, K.T., Neumaier, U., Mook-Kanamori, M.J., Rowe, J., Chidiac, O.M., McKeon, C., Al Muftah, W.A., Kader, S.A., Kastenmüller, G., Suhre, K., 2015. A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different timescales of glycaemic control. Diabetologia 58, 1855–1867. http://doi.org/10.1007/s00125-015-3636-2

2014

Grammer, T.B., Kleber, M.E., Silbernagel, G., Pilz, S., Scharnagl, H., Tomaschitz, A., König, W., März, W., 2014. Hemoglobin, iron metabolism and angiographic coronary artery disease (The Ludwigshafen Risk and Cardiovascular Health Study). Atherosclerosis 236, 292–300. doi.org/10.1016/j.atherosclerosis.2014.07.002

Miller, C.L., Haas, U., Diaz, R., Leeper, N.J., Kundu, R.K., Patlolla, B., Assimes, T.L., Kaiser, F.J., Perisic, L., Hedin, U., Maegdefessel, L., Schunkert, H., Erdmann, J., Quertermous, T., Sczakiel, G., 2014. Coronary heart disease-associated variation in TCF21 disrupts a miR-224 binding site and miRNA-mediated regulation. PLoS Genet. 10, e1004263. doi.org/10.1371/journal.pgen.1004263

Murr, C., Grammer, T.B., Meinitzer, A., Kleber, M.E., März, W., Fuchs, D., 2014. Immune activation and inflammation in patients with cardiovascular disease are associated with higher phenylalanine to tyrosine ratios: the ludwigshafen risk and cardiovascular health study. J Amino Acids 2014, 783730. doi.org/10.1155/2014/783730

Myocardial Infarction Genetics Consortium Investigators, 2014. Inactivating mutations in NPC1L1 and protection from coronary heart disease. N. Engl. J. Med. 371, 2072–2082. doi.org/10.1056/NEJMoa1405386

Siebert, M., Söding, J., 2014. Universality of core promoter elements? Nature 511, E11-12. doi.org/10.1038/nature13587

Traylor, M., Mäkelä, K.-M., Kilarski, L.L., Holliday, E.G., Devan, W.J., Nalls, M.A., Wiggins, K.L., Zhao, W., Cheng, Y.-C., Achterberg, S., Malik, R., Sudlow, C., Bevan, S., Raitoharju, E., METASTROKE, International Stroke Genetics Consortium, Wellcome Trust Case Consortium 2 (WTCCC2), Oksala, N., Thijs, V., Lemmens, R., Lindgren, A., Slowik, A., Maguire, J.M., Walters, M., Algra, A., Sharma, P., Attia, J.R., Boncoraglio, G.B., Rothwell, P.M., de Bakker, P.I.W., Bis, J.C., Saleheen, D., Kittner, S.J., Mitchell, B.D., Rosand, J., Meschia, J.F., Levi, C., Dichgans, M., Lehtimäki, T., Lewis, C.M., Markus, H.S., 2014. A novel MMP12 locus is associated with large artery atherosclerotic stroke using a genome-wide age-at-onset informed approach. PLoS Genet. 10, e1004469. http://doi.org/10.1371/journal.pgen.1004469