Integrative Genomics Reveals Novel Molecular Pathways and Gene Networks for Coronary Artery Disease
Open accessAbstract
The majority of the heritability of coronary artery disease (CAD) remains unexplained, despite recent successes of genome-wide association studies (GWAS) in identifying novel susceptibility loci. Integrating functional genomic data from a variety of sources with a large-scale meta-analysis of CAD GWAS may facilitate the identification of novel biological processes and genes involved in CAD, as well as clarify the causal relationships of established processes. Towards this end, we integrated 14 GWAS from the CARDIoGRAM Consortium and two additional GWAS from the Ottawa Heart Institute (25,491 cases and 66,819 controls) with 1) genetics of gene expression studies of CAD-relevant tissues in humans, 2) metabolic and signaling pathways from public databases, and 3) data-driven, tissue-specific gene networks from a multitude of human and mouse experiments. We not only detected CAD-associated gene networks of lipid metabolism, coagulation, immunity, and additional networks with no clear functional annotation, but also revealed key driver genes for each CAD network based on the topology of the gene regulatory networks. In particular, we found a gene network involved in antigen processing to be strongly associated with CAD. The key driver genes of this network included glyoxalase I (GLO1) and peptidylprolyl isomerase I (PPIL1), which we verified as regulatory by siRNA experiments in human aortic endothelial cells. Our results suggest genetic influences on a diverse set of both known and novel biological processes that contribute to CAD risk. The key driver genes for these networks highlight potential novel targets for further mechanistic studies and therapeutic interventions.
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Key regulatory genes may not harbour common inherited variation because of natural selection.
“suggesting that key regulatory genes may not harbour common inherited variation because of natural selection34.”
From Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism (2014) · cites this paper as [34]
A recent study of gene networks in coronary artery disease has shown that genes at the centre of the networks, referred to as 'key drivers', were largely not genome-wide association study signal genes.
“a recent study of gene networks in coronary artery disease has shown that genes at the centre of the networks, referred to as ‘key drivers’, were largely not genome-wide association study signal genes”
From Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism (2014) · cites this paper as [34]
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KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
(1988) · Cited by 16,582 · see citing works
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248 · see citing works
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057 · see citing works
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684 · see citing works
Self-citationLandscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187 · see citing works
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013 · see citing works
Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242 · see citing works
Annotation of functional variation in personal genomes using RegulomeDB
Boyle, A. P., Hong, E. L., Hariharan, M., Cheng, Y., Schaub, M. A., Kasowski, M., Karczewski, K. J., Park, J., Hitz, B. C., Weng, S., et al. (2012) · Genome Research · doi:10.1101/gr.137323.112 · Cited by 2,722 · see citing works
Role of Endothelial Dysfunction in Atherosclerosis
Davignon, J., & Ganz, P. (2004) · Circulation · doi:10.1161/01.cir.0000131515.03336.f8 · Cited by 2,513 · see citing works
Transcriptome and genome sequencing uncovers functional variation in humans
The Geuvadis Consortium, Lappalainen, T., Sammeth, M., Friedländer, M. R., ‘t Hoen, P. A. C., Monlong, J., Rivas, M. A., Gonzàlez-Porta, M., Kurbatova, N., Griebel, T., et al. (2013) · Nature · doi:10.1038/nature12531 · Cited by 1,888 · see citing works
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Cardiogenics, Schunkert, H., the CARDIoGRAM Consortium, König, I. R., Kathiresan, S., Reilly, M. P., Assimes, T. L., Holm, H., Preuss, M., Stewart, A. F. R., et al. (2011) · Nature Genetics · doi:10.1038/ng.784 · Cited by 1,866 · see citing works
Self-citationSystematic identification of trans eQTLs as putative drivers of known disease associations
Westra, H.-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann, C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K., Powell, J. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2756 · Cited by 1,658 · see citing works
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657 · see citing works
Self-citationLarge-scale association analysis identifies new risk loci for coronary artery disease
The CARDIoGRAMplusC4D Consortium, Deloukas, P., DIAGRAM Consortium, CARDIOGENICS Consortium, MuTHER Consortium, Wellcome Trust Case Control Consortium, Kanoni, S., Willenborg, C., Farrall, M., Assimes, T. L., et al. (2013) · Nature Genetics · doi:10.1038/ng.2480 · Cited by 1,614 · see citing works
Self-citationTranscriptional Regulation and Its Misregulation in Disease
Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.014 · Cited by 1,588 · see citing works
Chronic Kidney Disease: Effects on the Cardiovascular System
Schiffrin, E. L., Lipman, M. L., & Mann, J. F. E. (2007) · Circulation · doi:10.1161/circulationaha.106.678342 · Cited by 1,448 · see citing works
Genetics of gene expression and its effect on disease
Emilsson, V., Thorleifsson, G., Zhang, B., Leonardson, A. S., Zink, F., Zhu, J., Carlson, S., Helgason, A., Walters, G. B., Gunnarsdottir, S., et al. (2008) · Nature · doi:10.1038/nature06758 · Cited by 1,296 · see citing works
Self-citationBayesian Graphical Models for Discrete Data
Madigan, D., York, J., & Allard, D. (1995) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1403615 · Cited by 1,090 · see citing works
An integrative genomics approach to infer causal associations between gene expression and disease
Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics · doi:10.1038/ng1589 · Cited by 1,043 · see citing works
Self-citationInsulin Resistance, Hyperglycemia, and Atherosclerosis
Bornfeldt, K., & Tabas, I. A. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.07.015 · Cited by 1,002 · see citing works
A genome-wide association study of global gene expression
Dixon, A. L., Liang, L., Moffatt, M. F., Chen, W., Heath, S. C., Wong, K., Taylor, J. C., Burnett, E. C., Gut, I. G., Farrall, M., et al. (2007) · Nature Genetics · doi:10.1038/ng2109 · Cited by 946 · see citing works
Mapping the Genetic Architecture of Gene Expression in Human Liver
Schadt, E. E., Molony, C. M., Chudin, E., Hao, K., Yang, X., Lum, P. Y., Kasarskis, A., Zhang, B., Wang, S. S.-M., Suver, C., et al. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060107 · Cited by 909 · see citing works
Self-citationVariations in DNA elucidate molecular networks that cause disease
Chen, Y., Zhu, J., Lum, P. Y., Yang, X., Pinto, S., MacNeil, D. J., Zhang, C., Lamb, J., Edwards, S., Sieberts, S. K., et al. (2008) · Nature · doi:10.1038/nature06757 · Cited by 887 · see citing works
Self-citationLinking disease associations with regulatory information in the human genomePreprint
Schaub, M. A., Boyle, A. P., Kundaje, A. B., Batzoglou, S., & Snyder, M. P. (2012) · Genome Research · doi:10.1101/gr.136127.111 · Cited by 715 · see citing works
(Patho)physiological Significance of the Serum- and Glucocorticoid-Inducible Kinase Isoforms
Lang, F., Böhmer, C., Palmada, M., Seebohm, G., Strutz-Seebohm, N., & Vallon, V. (2006) · Physiological Reviews · doi:10.1152/physrev.00050.2005 · Cited by 689 · see citing works
Reactome: a knowledge base of biologic pathways and processes
Västrik, I., D’Eustachio, P., Schmidt, E., Geeta, J.-T., Gopinath, G., Croft, D. W., de Bono, B., Gillespie, M. E., Jassal, B., Lewis, S., et al. (2007) · Genome biology · doi:10.1186/gb-2007-8-3-r39 · Cited by 656 · see citing works
C Reactive Protein Coronary Heart Disease Genetics Collaboration (CCGC) (2011) · BMJ · doi:10.1136/bmj.d548 · Cited by 642 · see citing works
Zhu, J., Zhang, B., Smith, E. N., Drees, B., Brem, R. B., Kruglyak, L., Bumgarner, R. E., & Schadt, E. E. (2008) · Nature Genetics · doi:10.1038/ng.167 · Cited by 549 · see citing works
Self-citationBattle, A., Mostafavi, S., Zhu, X., Potash, J. B., Weissman, M. M., McCormick, C., Haudenschild, C. D., Beckman, K. B., Shi, J., Mei, R., et al. (2014) · Genome Research · doi:10.1101/gr.155192.113 · Cited by 547 · see citing works
Heritability of death from coronary heart disease: a 36‐year follow‐up of 20 966 Swedish twins
Zdravkovic, S., Wienke, A., Pedersen, N. L., Marenberg, M. E., Yashin, A. I., & Fairé, U. D. (2002) · Journal of Internal Medicine · doi:10.1046/j.1365-2796.2002.01029.x · Cited by 512 · see citing works
Segrè, A. V., DIAGRAM Consortium, MAGIC investigators, Groop, L., Mootha, V. K., Daly, M. J., & Altshuler, D. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001058 · Cited by 463 · see citing works
Self-citationCongrains, A., Kamide, K., Oguro, R., Yasuda, O., Miyata, K., Yamamoto, E., Kawai, T., Kusunoki, H., Yamamoto, H., Takeya, Y., et al. (2011) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2011.11.017 · Cited by 330 · see citing works
Fehrmann, R. S. N., Jansen, R. C., Veldink, J. H., Westra, H.-J., Arends, D., Bonder, M. J., Fu, J., Deelen, P., Groen, H. J. M., Smolonska, A., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002197 · Cited by 330 · see citing works
Diverse Genome-wide Association Studies Associate the IL12/IL23 Pathway with Crohn Disease
Wang, K., Zhang, H., Kugathasan, S., Annese, V., Bradfield, J. P., Russell, R. K., Sleiman, P. M. A., Imielinski, M., Glessner, J., Hou, C., et al. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.026 · Cited by 291 · see citing works
Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liverPreprint
Yang, X., Zhang, B., Molony, C. M., Chudin, E., Hao, K., Zhu, J., Gaedigk, A., Suver, C., Zhong, H., Leeder, J. S., et al. (2010) · Genome Research · doi:10.1101/gr.103341.109 · Cited by 271 · see citing works
Self-citationThe Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263 · see citing works
Glyoxalase in diabetes, obesity and related disorders
Rabbani, N., & Thornalley, P. J. (2011) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2011.02.015 · Cited by 250 · see citing works
Integrating Pathway Analysis and Genetics of Gene Expression for Genome-wide Association Studies
Zhong, H., Yang, X., Kaplan, L. M., Molony, C. M., & Schadt, E. E. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.02.020 · Cited by 234 · see citing works
Self-citationAn integrative genomics approach to the reconstruction of gene networks in segregating populations
Zhu, J., Lum, P. Y., Lamb, J., GuhaThakurta, D., Edwards, S. W., Thieringer, R., Berger, J. P., Wu, M. S., Thompson, J., Sachs, A. B., et al. (2004) · Cytogenetic and Genome Research · doi:10.1159/000078209 · Cited by 221 · see citing works
Self-citationZhu, J., Wiener, M. C., Zhang, C., Fridman, A., Minch, E., Lum, P. Y., Sachs, J. R., & Schadt, E. E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030069 · Cited by 209 · see citing works
Self-citationFischer, M., Broeckel, U., Holmer, S., Baessler, A., Hengstenberg, C., Mayer, B., Erdmann, J., Klein, G., Riegger, G., Jacob, H., et al. (2005) · Circulation · doi:10.1161/01.cir.0000155611.41961.bb · Cited by 200 · see citing works
Self-citationBarter, P. J., Rye, K., Tardif, J., Waters, D. D., Boekholdt, S. M., Breazna, A., & Kastelein, J. J. P. (2011) · Circulation · doi:10.1161/circulationaha.111.018259 · Cited by 198 · see citing works
Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study
Preuss, M. H., König, I. R., Thompson, J. R., Erdmann, J., Absher, D., Assimes, T. L., Blankenberg, S., Boerwinkle, E., Chen, L., Cupples, L. A., et al. (2010) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.109.899443 · Cited by 194 · see citing works
Self-citationKnockdown of Glyoxalase 1 Mimics Diabetic Nephropathy in Nondiabetic Mice
Giacco, F., Du, X., D’Agati, V. D., Milne, R. W., Sui, G., Geoffrion, M., & Brownlee, M. (2013) · Diabetes · doi:10.2337/db13-0316 · Cited by 182 · see citing works
Zhang, K., Cui, S., Chang, S., Zhang, L., & Wang, J. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq324 · Cited by 178 · see citing works
A Systems Biology Framework Identifies Molecular Underpinnings of Coronary Heart Disease
Huan, T., Zhang, B., Wang, Z., Joehanes, R., Zhu, J., Johnson, A. D., Ying, S., Munson, P. J., Raghavachari, N., Wang, R., et al. (2013) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.112.300112 · Cited by 167 · see citing works
Self-citationA survey of the genetics of stomach, liver, and adipose gene expression from a morbidly obese cohortPreprint
Greenawalt, D. M., Dobrin, R., Chudin, E., Hatoum, I. J., Suver, C., Beaulaurier, J., Zhang, B., Castro, V., Zhu, J., Sieberts, S. K., et al. (2011) · Genome Research · doi:10.1101/gr.112821.110 · Cited by 165 · see citing works
Self-citationLiver and Adipose Expression Associated SNPs Are Enriched for Association to Type 2 Diabetes
Zhong, H., Beaulaurier, J., Lum, P. Y., Molony, C. M., Yang, X., MacNeil, D. J., Weingarth, D. T., Zhang, B., Greenawalt, D. M., Dobrin, R., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000932 · Cited by 164 · see citing works
Self-citationPérez‐Victoria, F. J., Mardones, G. A., & Bonifacino, J. S. (2008) · Molecular Biology of the Cell · doi:10.1091/mbc.e07-11-1189 · Cited by 162 · see citing works
Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers
Wang, I., Zhang, B., Yang, X., Zhu, J., Stepaniants, S., Zhang, C., Meng, Q., Peters, M. A., He, Y. D., Ni, C., et al. (2012) · Molecular Systems Biology · doi:10.1038/msb.2012.24 · Cited by 130 · see citing works
Self-citationGSA-SNP: a general approach for gene set analysis of polymorphisms
Nam, D., Kim, J., Kim, S., & Kim, S. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq428 · Cited by 130 · see citing works
Davies, R. W., Wells, G. A., Stewart, A. F. R., Erdmann, J., Shah, S. H., Ferguson, J. F., Hall, A. S., Anand, S. S., Burnett, M. S., Epstein, S. E., et al. (2012) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.111.961243 · Cited by 127 · see citing works
Self-citationSystems genetics analysis of gene-by-environment interactions in human cells
Romanoski, C. E., Lee, S., Kim, M. J., Ingram-Drake, L., Plaisier, C. L., Yordanova, R., Tilford, C., Guan, B., He, A., Gargalovic, P. S., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.02.002 · Cited by 111 · see citing works
Self-citationBarter, P. J. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.09.014 · Cited by 101 · see citing works
Miyata, T., de Strihou, C. V. Y., Imasawa, T., Yoshino, A., Ueda, Y., Ogura, H., Kominami, K., Onogi, H., Inagi, R., Nangaku, M., et al. (2001) · Kidney International · doi:10.1046/j.1523-1755.2001.00051.x · Cited by 97 · see citing works
CADgene: a comprehensive database for coronary artery disease genes
Liu, H., Liu, W., Liao, Y., Cheng, L., Liu, Q., Ren, X. S., Shi, L., Tu, X., Wang, Q. K., & Guo, A. Y. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1106 · Cited by 83 · see citing works
Intracellular sodium sensing: SIK1 network, hormone action and high blood pressure
Jaitovich, A., & Bertorello, A. M. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2010.03.009 · Cited by 61 · see citing works
Global Properties and Functional Complexity of Human Gene Regulatory Variation
Gaffney, D. J. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003501 · Cited by 57 · see citing works
Vulesevic, B., McNeill, B., Geoffrion, M., Kuraitis, D., McBane, J. E., Lochhead, M., Vanderhyden, B. C., Korbutt, G. S., Milne, R. W., & Suuronen, E. J. (2013) · Cardiovascular Research · doi:10.1093/cvr/cvt259 · Cited by 45 · see citing works
Eto, N., Miyagishi, M., Inagi, R., Fujita, T., & Nangaku, M. (2009) · American Journal Of Pathology · doi:10.2353/ajpath.2009.080190 · Cited by 44 · see citing works
Persichetti, E., Chuzhanova, N. A., Dardis, A., Tappino, B., Pohl, S., Thomas, N. S. T., Rosano, C., Balducci, C., Paciotti, S., Dominissini, S., et al. (2008) · Human Mutation · doi:10.1002/humu.20959 · Cited by 36 · see citing works
Shuai, Y., Guo, J. F., Dong, Y., Zhong, W., Xiao, P., Zhou, T., Zhang, L., & Peng, S. (2010) · Toxicology Letters · doi:10.1016/j.toxlet.2010.10.017 · Cited by 31 · see citing works
Hua, T., Wu, D., Ding, W., Wang, J., Shaw, N., & Liu, Z. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.385351 · Cited by 31 · see citing works
Fuentes, L. D. L., Yang, W., Dávila‐Román, V. G., & Gu, C. C. (2012) · European Journal of Human Genetics · doi:10.1038/ejhg.2012.66 · Cited by 31 · see citing works
Kang, H. P., Yang, X., Chen, R., Zhang, B., Corona, E., Schadt, E. E., & Butte, A. J. (2012) · Diabetologia · doi:10.1007/s00125-012-2568-3 · Cited by 27 · see citing works
Self-citationYang, X. (2012) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.111.232702 · Cited by 24 · see citing works
Self-citationDuan, S., Luo, X., & Dong, C. (2013) · Gene · doi:10.1016/j.gene.2013.08.059 · Cited by 19 · see citing works
Ferreira, P. A., & Orry, A. J. W. (2012) · Journal of Neurogenetics · doi:10.3109/01677063.2011.647143 · Cited by 17 · see citing works
Identifying functional modules for coronary artery disease by a prior knowledge-based approach
Li, H., Zuo, X., Ouyang, P., Lin, M., Zhao, Z., Liang, Y., Zhong, S., & Rao, S. (2014) · Gene · doi:10.1016/j.gene.2013.12.049 · Cited by 12 · see citing works
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Schalkwijk, C., & Stehouwer, C. D. A. (2019) · Physiological Reviews · doi:10.1152/physrev.00001.2019 · Cited by 630 · see citing works
Gupta, S., Ellis, S. E., Ashar, F. N., Moes, A., Bader, J. S., Zhan, J., West, A. B., & Arking, D. E. (2014) · Nature Communications · doi:10.1038/ncomms6748 · Cited by 504 · see citing works
The Myth of the “Vulnerable Plaque”
Arbab‐Zadeh, A., & Fuster, V. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.11.041 · Cited by 437 · see citing works
Efficient Test and Visualization of Multi-Set Intersections
Wang, M., Zhao, Y., & Zhang, B. (2015) · Scientific Reports · doi:10.1038/srep16923 · Cited by 395 · see citing works
Self-citationTissue-specific regulatory circuits reveal variable modular perturbations across complex diseases
Marbach, D., Lamparter, D., Quon, G., Kellis, M., Kutalik, Z., & Bergmann, S. (2016) · Nature Methods · doi:10.1038/nmeth.3799 · Cited by 326 · see citing works
Plubell, D. L., Wilmarth, P. A., Zhao, Y., Fenton, A. M., Minnier, J., Reddy, A. P., Klimek, J. E., Yang, X., David, L. L., & Pamir, N. (2017) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m116.065524 · Cited by 337 · see citing works
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Rabbani, N., & Thornalley, P. J. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2015.01.140 · Cited by 353 · see citing works
Targeting BCAA Catabolism to Treat Obesity-Associated Insulin Resistance
Zhou, M., Shao, J., Wu, C., Shu, L., Dong, W., Liu, Y., Chen, M., Wynn, R., Wang, J., Wang, J., et al. (2019) · Diabetes · doi:10.2337/db18-0927 · Cited by 323 · see citing works
Self-citationDGCA: A comprehensive R package for Differential Gene Correlation Analysis
McKenzie, A. T., Katsyv, I., Song, W.-M., Wang, M., & Zhang, B. (2016) · BMC Systems Biology · doi:10.1186/s12918-016-0349-1 · Cited by 249 · see citing works
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Wali, J. A., Jarzebska, N., Raubenheimer, D., Simpson, S. J., Rodionov, R. N., & O’Sullivan, J. (2020) · Nutrients · doi:10.3390/nu12051505 · Cited by 245 · see citing works
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Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis
von Scheidt, M., Zhao, Y., Kurt, Z., Pan, C., Zeng, L., Yang, X., Schunkert, H., & Lusis, A. J. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.11.001 · Cited by 220 · see citing works
Self-citationXue, M., Weickert, M. O., Qureshi, S. A., Kandala, N., Anwar, A., Waldron, M., Shafie, A., Messenger, D. J., Fowler, M. I., Jenkins, G., et al. (2016) · Diabetes · doi:10.2337/db16-0153 · Cited by 213 · see citing works
The Role of Dietary Advanced Glycation End Products in Metabolic Dysfunction
Sergi, D., Boulestin, H., Campbell, F. M., & Williams, L. M. (2021) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900934 · Cited by 194 · see citing works
Rabbani, N., Xue, M., & Thornalley, P. J. (2016) · Clinical Science · doi:10.1042/cs20160025 · Cited by 173 · see citing works
Elevated Levels of the Reactive Metabolite Methylglyoxal Recapitulate Progression of Type 2 Diabetes
Moraru, A., Wiederstein, J. L., Pfaff, D. H., Fleming, T. H., Miller, A. K., Nawroth, P. P., & Teleman, A. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.02.003 · Cited by 170 · see citing works
Dicarbonyls and glyoxalase in disease mechanisms and clinical therapeutics
Rabbani, N., Xue, M., & Thornalley, P. J. (2016) · Glycoconjugate Journal · doi:10.1007/s10719-016-9705-z · Cited by 169 · see citing works
Krishnan, K. C., Kurt, Z., Barrere‐Cain, R., Sabir, S., Das, A., Floyd, R. R., Vergnes, L., Zhao, Y., Che, N., Charugundla, S., et al. (2018) · Cell Systems · doi:10.1016/j.cels.2017.12.006 · Cited by 149 · see citing works
Self-citationIntegrative functional genomics identifies regulatory mechanisms at coronary artery disease loci
Miller, C. L., Pjanic, M., Wang, T., Nguyen, T., Cohain, A. T., Lee, J. D., Matic, L. P., Hedin, U., Kundu, R. K., Majmudar, D., et al. (2016) · Nature Communications · doi:10.1038/ncomms12092 · Cited by 146 · see citing works
Self-citationGenome-Wide Significant Loci: How Important Are They?
Björkegren, J., Kovacic, J. C., Dudley, J. T., & Schadt, E. E. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.12.033 · Cited by 141 · see citing works
Shu, L., Zhao, Y., Kurt, Z., Byars, S., Tukiainen, T., Kettunen, J., Orozco, L. D., Pellegrini, M. A., Lusis, A. J., Ripatti, S., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-3198-9 · Cited by 129 · see citing works
Self-citationSpatial proteomics in three-dimensional intact specimens
Bhatia, H. S., Brunner, A.-D., Öztürk, F., Kapoor, S., Rong, Z., Mai, H., Thielert, M., Ali, M., Al-Maskari, R., Paetzold, J. C., et al. (2022) · Cell · doi:10.1016/j.cell.2022.11.021 · Cited by 129 · see citing works
An integrative systems genetic analysis of mammalian lipid metabolism
Parker, B. L., Calkin, A. C., Seldin, M. M., Keating, M. F., Tarling, E. J., Yang, P., Moody, S. C., Liu, Y., Zerenturk, E. J., Needham, E. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0984-y · Cited by 127 · see citing works
Self-citationThyroid and Cardiovascular Disease
Cappola, A. R., Desai, A. S., Medici, M., Cooper, L. S., Egan, D., Sopko, G. S., Fishman, G. I., Goldman, S., Cooper, D. S., Mora, S., et al. (2019) · Circulation · doi:10.1161/circulationaha.118.036859 · Cited by 132 · see citing works
Meng, Q., Zhuang, Y., Ying, Z., Agrawal, R., Yang, X., & Gómez‐Pinilla, F. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.01.046 · Cited by 117 · see citing works
Self-citationRabbani, N., & Thornalley, P. J. (2021) · Redox Biology · doi:10.1016/j.redox.2021.101920 · Cited by 118 · see citing works
Calabrese, G. M., Mesner, L. D., Stains, J. P., Tommasini, S. M., Horowitz, M. C., Rosen, C. J., & Farber, C. R. (2016) · Cell Systems · doi:10.1016/j.cels.2016.10.014 · Cited by 114 · see citing works
Briot, A., Civelek, M., Seki, A., Hoi, K. K., Mack, J. J., Lee, S. D., Kim, J., Hong, C., Yu, J., Fishbein, G. A., et al. (2015) · The Journal of Experimental Medicine · doi:10.1084/jem.20150603 · Cited by 111 · see citing works
Self-citationNetwork-based metabolic analysis and microbial community modeling
Cardona, C., Weisenhorn, P. B., Henry, C., & Gilbert, J. A. (2016) · Current Opinion in Microbiology · doi:10.1016/j.mib.2016.03.008 · Cited by 105 · see citing works
Irshad, Z., Xue, M., Ashour, A. A., Larkin, J. R., Thornalley, P. J., & Rabbani, N. (2019) · Scientific Reports · doi:10.1038/s41598-019-44358-1 · Cited by 105 · see citing works
Integrative network analysis reveals molecular mechanisms of blood pressure regulation
Huan, T., Meng, Q., Saleh, M. A., Norlander, A. E., Joehanes, R., Zhu, J., Chen, B. H., Zhang, B., Johnson, A. D., Ying, S., et al. (2015) · Molecular Systems Biology · doi:10.15252/msb.20145399 · Cited by 104 · see citing works
Self-citationHanssen, N. M. J., Westerink, J., Scheijen, J. L. J. M., van der Graaf, Y., Stehouwer, C. D. A., Schalkwijk, C. G., SMART Study Group, Algra, A., van der Graaf, Y., Grobbee, R., et al. (2018) · Diabetes Care · doi:10.2337/dc18-0159 · Cited by 105 · see citing works
Glyoxalase 1 Modulation in Obesity and Diabetes
Rabbani, N., & Thornalley, P. J. (2019) · Antioxidants & Redox Signaling · doi:10.1089/ars.2017.7424 · Cited by 102 · see citing works
Drug Repositioning Through Network Pharmacology
Ye, H., Jia, W. P., Tang, K., Feuers, R. J., & Hong, H. (2016) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026616666160530181328 · Cited by 103 · see citing works
Wang, M., Song, W., Chen, M., Wang, Q., Zhou, X., Xu, P., Krek, A., Yoon, Y., Ho, L., Orr, M. E., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00517-z · Cited by 100 · see citing works
Self-citationGenetic Study of Complex Diseases in the Post-GWAS Era
Huang, Q. (2015) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2015.02.001 · Cited by 97 · see citing works
Ding, J., Blencowe, M., Nghiem, T. X., Ha, S. M., Chen, Y.-W., Li, G., & Yang, X. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab405 · Cited by 96 · see citing works
Self-citationGenetic Susceptibility Contributing to Periodontal and Cardiovascular Disease
Aarabi, G., Zeller, T., Seedorf, H., Reissmann, D. R., Heydecke, G., Schäefer, A. S., & Seedorf, U. (2017) · Journal of Dental Research · doi:10.1177/0022034517699786 · Cited by 97 · see citing works
Cappola, A. R., Desai, A. S., Medici, M., Cooper, L. S., Egan, D., Sopko, G. S., Fishman, G. I., Goldman, S., Cooper, D. S., Mora, S., et al. (2019) · Thyroid · doi:10.1089/thy.2018.0416 · Cited by 95 · see citing works
Dicarbonyl Stress at the Crossroads of Healthy and Unhealthy Aging
Nigro, C., Leone, A., Fiory, F., Prevenzano, I., Nicolò, A., Mirra, P., Bèguinot, F., & Miele, C. (2019) · Cells · doi:10.3390/cells8070749 · Cited by 91 · see citing works
Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
Meng, Q., Ying, Z., Noble, E. E., Zhao, Y., Agrawal, R., Mikhail, A. I., Zhuang, Y., Tyagi, E., Zhang, Q., Lee, J., et al. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.04.008 · Cited by 94 · see citing works
Self-citationWon, H., Natarajan, P., Dobbyn, A. L., Jordan, D. M., Roussos, P., Lage, K., Raychaudhuri, S., Stahl, E. A., & Do, R. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005622 · Cited by 90 · see citing works
Vascular AGE-ing by methylglyoxal: the past, the present and the future
Schalkwijk, C. G. (2015) · Diabetologia · doi:10.1007/s00125-015-3597-5 · Cited by 87 · see citing works
Ghosh, S., Vivar, J. C., Nelson, C. P., Willenborg, C., Segrè, A. V., Mäkinen, V., Nikpay, M., Erdmann, J., Blankenberg, S., O’Donnell, C. J., et al. (2015) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.115.305513 · Cited by 79 · see citing works
Self-citationMetabolism: The road to inflammation and atherosclerosis
Ali, L., Schnitzler, J. G., & Kroon, J. (2018) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000550 · Cited by 84 · see citing works
Kurt, Z., Barrere‐Cain, R., LaGuardia, J. S., Mehrabian, M., Pan, C., Hui, S. T. Y., Norheim, F., Zhou, Z., Hasin-Brumshtein, Y., Lusis, A. J., et al. (2018) · Biology of Sex Differences · doi:10.1186/s13293-018-0205-7 · Cited by 82 · see citing works
Self-citationJi, X., Bossé, Y., Landi, M. T., Gui, J., Xiao, X., Qian, D. C., Joubert, P., Lamontagne, M., Li, Y., Gorlov, I. P., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05074-y · Cited by 81 · see citing works
Shu, L., Chan, K. H. K., Zhang, G., Huan, T., Kurt, Z., Zhao, Y., Codoni, V., Trégouët, D., Yang, J. J., Wilson, J. G., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007040 · Cited by 78 · see citing works
Self-citationNetwork modeling of single-cell omics data: challenges, opportunities, and progresses
Blencowe, M., Arneson, D., Ding, J., Chen, Y.-W., Saleem, Z., & Yang, X. (2019) · Emerging Topics in Life Sciences · doi:10.1042/etls20180176 · Cited by 73 · see citing works
Self-citationMultitissue Multiomics Systems Biology to Dissect Complex Diseases
Yang, X. (2020) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.04.006 · Cited by 77 · see citing works
Self-citationSchalkwijk, C. G., Micali, L. R., & Wouters, K. (2022) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2022.11.004 · Cited by 76 · see citing works
Dicarbonyl stress in clinical obesity
Masania, J., Malczewska-Malec, M., Raźny, U., Góralska, J., Zdzienicka, A., Kieć‐Wilk, B., Gruca, A., Stancel-Możwiłło, J., Dembinska-Kiec, A., Rabbani, N., et al. (2016) · Glycoconjugate Journal · doi:10.1007/s10719-016-9692-0 · Cited by 76 · see citing works
Genetic variation within endolysosomal system is associated with late-onset Alzheimer’s disease
Gao, S., Casey, A., Sargeant, T. J., & Mäkinen, V. (2018) · Brain · doi:10.1093/brain/awy197 · Cited by 75 · see citing works
Self-citationKao, P. Y. P., Leung, K. H., Chan, L., Yip, S. P., & Yap, M. K. H. (2016) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2016.11.030 · Cited by 69 · see citing works
Molecular and genetic inflammation networks in major human diseases
Zhao, Y., Forst, C. V., Sayegh, C. E., Wang, I., Yang, X., & Zhang, B. (2016) · Molecular BioSystems · doi:10.1039/c6mb00240d · Cited by 71 · see citing works
Self-citationvon Scheidt, M., Zhao, Y., Vallim, T. Q. D. A., Che, N., Wierer, M., Seldin, M. M., Franzén, O., Kurt, Z., Pang, S., Bongiovanni, D., et al. (2021) · Circulation · doi:10.1161/circulationaha.120.050186 · Cited by 69 · see citing works
Self-citationHitzel, J., Lee, E., Zhang, Y., Bibli, S. I., Li, X., Zukunft, S., Pflüger, B., Hu, J., Schürmann, C., Vasconez, A. E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04602-0 · Cited by 67 · see citing works
Self-citationNetwork-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci
Zhao, Y., Chen, J., Freudenberg, J., Meng, Q., Rajpal, D. K., & Yang, X. (2016) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.115.306725 · Cited by 65 · see citing works
Self-citationBiomolecular approaches to understanding metal tolerance and hyperaccumulation in plants
Corso, M., & García de la Torre, V. S. (2020) · Metallomics · doi:10.1039/d0mt00043d · Cited by 60 · see citing works
Dissecting the Roles of MicroRNAs in Coronary Heart Disease via Integrative Genomic Analyses
Huan, T., Rong, J., Tanrıverdi, K., Meng, Q., Bhattacharya, A., McManus, D. D., Joehanes, R., Assimes, T. L., McPherson, R., Samani, N. J., et al. (2015) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.114.305176 · Cited by 56 · see citing works
Self-citationUsing GWAS to identify novel therapeutic targets for osteoporosis
Sabik, O. L., & Farber, C. R. (2016) · Translational research · doi:10.1016/j.trsl.2016.10.009 · Cited by 55 · see citing works
Infante, T., Viscovo, L. D., Rimini, M. L. D., Padula, S., Caso, P., & Claudio Napoli, A. (2019) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.52407 · Cited by 56 · see citing works
Chan, K. H. K., Huang, Y., Meng, Q., Wu, C., Reiner, A. P., Sobel, E. M., Tinker, L., Lusis, A. J., Yang, X., & Liu, S. (2014) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000676 · Cited by 56 · see citing works
Self-citationStratmann, B., Engelbrecht, B., Espelage, B. C., Klusmeier, N., Tiemann, J., Gawlowski, T., Mattern, Y., Eisenacher, M., Meyer, H. E., Rabbani, N., et al. (2016) · Scientific Reports · doi:10.1038/srep37737 · Cited by 53 · see citing works
Al-Barghouthi, B. M., Mesner, L. D., Calabrese, G. M., Brooks, D. J., Tommasini, S. M., Bouxsein, M., Horowitz, M. C., Rosen, C. J., Nguyen, K. K., Haddox, S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23649-0 · Cited by 53 · see citing works
C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis
Lepik, K., Annilo, T., Kukuškina, V., eQTLGen Consortium, Kisand, K., Kutalik, Z., Peterson, P., & Peterson, H. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005766 · Cited by 48 · see citing works
The Glyoxalase System in Age-Related Diseases: Nutritional Intervention as Anti-Ageing Strategy
Aragonès, G., Rowan, S., Francisco, S. G., Whitcomb, E. A., Yang, W., Perini-Villanueva, G., Schalkwijk, C. G., Taylor, A., & Bejarano, E. (2021) · Cells · doi:10.3390/cells10081852 · Cited by 51 · see citing works
Functional regulatory mechanism of smooth muscle cell-restricted LMOD1 coronary artery disease locus
Nanda, V., Wang, T., Pjanic, M., Liu, B., Nguyen, T., Matic, L. P., Hedin, U., Koplev, S., Ma, L., Franzén, O., et al. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007755 · Cited by 48 · see citing works
Self-citationNew advances in CRISPR/Cas-mediated precise gene-editing techniques
Richardson, C., Kelsh, R. N., & Richardson, R. J. (2023) · Disease Models & Mechanisms · doi:10.1242/dmm.049874 · Cited by 48 · see citing works
Shu, L., Meng, Q., Tsai, B., Diamante, G., Chen, Y.-W., Mikhail, A., Luk, H., Ritz, B. R., Allard, P., & Yang, X. (2018) · Endocrinology · doi:10.1210/en.2018-00817 · Cited by 45 · see citing works
Self-citationDissecting the Genetics of Osteoporosis using Systems Approaches
Al-Barghouthi, B. M., & Farber, C. R. (2018) · Trends in Genetics · doi:10.1016/j.tig.2018.10.004 · Cited by 45 · see citing works
Multi-omics integration reveals molecular networks and regulators of psoriasis
Zhao, Y., Jhamb, D., Shu, L., Arneson, D. V., Rajpal, D. K., & Yang, X. (2019) · BMC Systems Biology · doi:10.1186/s12918-018-0671-x · Cited by 45 · see citing works
Self-citationSazonova, O., Zhao, Y., Nürnberg, S., Miller, C. L., Pjanic, M., Castano, V. G., Kim, J. B., Salfati, E., Kundaje, A. B., Bejerano, G., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005202 · Cited by 45 · see citing works
Self-citationEmerging Glycation-Based Therapeutics—Glyoxalase 1 Inducers and Glyoxalase 1 Inhibitors
Rabbani, N., & Thornalley, P. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23052453 · Cited by 44 · see citing works
Systems healthcare: a holistic paradigm for tomorrow
Fiandaca, M. S., Mapstone, M. E., Connors, E. E., Jacobson, M., Monuki, E. S., Malik, S., Macciardi, F. M., & Federoff, H. J. (2017) · BMC Systems Biology · doi:10.1186/s12918-017-0521-2 · Cited by 45 · see citing works
Li, Y., Chen, J., Zhang, J., Wang, Z., Shao, T., Jiang, C., Xu, J., & Li, X. (2015) · Oncotarget · doi:10.18632/oncotarget.4660 · Cited by 43 · see citing works
Genetics and Genomics of Coronary Artery Disease
Pjanic, M., Miller, C. L., Wirka, R. C., Kim, J. B., DiRenzo, D. M., & Quertermous, T. (2016) · Current Cardiology Reports · doi:10.1007/s11886-016-0777-y · Cited by 40 · see citing works
Self-citationPalluzzi, F., Ferrari, R., Graziano, F., Novelli, V., Rossi, G., Galimberti, D., Rainero, I., Benussi, L., Nacmias, B., Bruni, A. C., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185797 · Cited by 40 · see citing works
Sabik, O. L., Calabrese, G. M., Taleghani, E., Ackert‐Bicknell, C. L., & Farber, C. R. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108145 · Cited by 37 · see citing works
Genetic Insights Into Smooth Muscle Cell Contributions to Coronary Artery Disease
Wong, D., Turner, A. W., & Miller, C. L. (2019) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.119.312141 · Cited by 34 · see citing works
Zheng, P., Chen, L.-Z., Guan, Y., & Liu, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-86207-0 · Cited by 37 · see citing works
Dicarbonyl Stress in Diabetic Vascular Disease
Stratmann, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23116186 · Cited by 38 · see citing works
Notch, lipids, and endothelial cells
Briot, A., Bouloumié, A., & Iruela‐Arispe, M. L. (2016) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000337 · Cited by 36 · see citing works
Turning genome-wide association study findings into opportunities for drug repositioning
Lau, A., & So, H. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.06.015 · Cited by 36 · see citing works
Network Modeling Approaches and Applications to Unravelling Non-Alcoholic Fatty Liver Disease
Blencowe, M., Karunanayake, T., Wier, J. R., Hsu, N., & Yang, X. (2019) · Genes · doi:10.3390/genes10120966 · Cited by 35 · see citing works
Self-citationMultidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease
Arneson, D. V., Shu, L., Tsai, B. L., Barrere‐Cain, R., Sun, C., & Yang, X. (2017) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2017.00008 · Cited by 34 · see citing works
Self-citationTranslating GWAS Findings to Novel Therapeutic Targets for Coronary Artery Disease
Shu, L., Blencowe, M., & Yang, X. (2018) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2018.00056 · Cited by 31 · see citing works
Self-citationLandscape of heart proteome changes in a diet-induced obesity model
Vileigas, D. F., Harman, V. M., Freire, P. P., Marciano, C. L. D. C., Sant’Ana, P. G., de Souza, S. L. B., Mota, G. A. F., da Silva, V. L., de Campos, D. H. S., Padovani, C. R., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-54522-2 · Cited by 32 · see citing works
Basnet, R. K., Carpio, D. P. D., Xiao, D., Bucher, J., Jin, M., Boyle, K., Fobert, P. R., Visser, R. G. F., Maliepaard, C. A., & Bonnema, G. (2015) · PLANT PHYSIOLOGY · doi:10.1104/pp.15.00853 · Cited by 31 · see citing works
Wang, T., Peng, Q., Liu, B., Liu, Y., & Wang, Y. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00418 · Cited by 27 · see citing works
Pasterkamp, G., den Ruijter, H. M., & Giannarelli, C. (2022) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.121.316693 · Cited by 29 · see citing works
Zhang, G., Byun, H. R., Ying, Z., Blencowe, M., Zhao, Y., Hong, J. S., Shu, L., Krishnan, K. C., Gómez‐Pinilla, F., & Yang, X. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2019.165569 · Cited by 29 · see citing works
Self-citationBerdowska, I., Matusiewicz, M., & Fecka, I. (2023) · Molecules · doi:10.3390/molecules28237742 · Cited by 26 · see citing works
Genome-Wide Association Studies of Coronary Artery Disease: Recent Progress and Challenges Ahead
Clarke, S. L., & Assimes, T. L. (2018) · Current Atherosclerosis Reports · doi:10.1007/s11883-018-0748-4 · Cited by 27 · see citing works
Self-citationMulti-Cohort Transcriptomic Subtyping of B-Cell Acute Lymphoblastic Leukemia
Mäkinen, V., Rehn, J. A., Breen, J., Yeung, D. T. O., & White, D. L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094574 · Cited by 27 · see citing works
Self-citationGenetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium
Assimes, T. L., Lee, I., Juang, J. J., Guo, X., Wang, T., Kim, E. T., Lee, W., Absher, D., Chiu, Y., Hsu, C., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0138014 · Cited by 27 · see citing works
Self-citationOkamoto, J., Wang, L., Yin, X., Luca, F., Piqué-Regi, R., Helms, A. S., Im, H. K., Morrison, J., & Wen, X. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.12.002 · Cited by 26 · see citing works
Li, H., Achour, I., Bastarache, L. A., Berghout, J., Gardeux, V., Li, J., Lee, Y., Pesce, L. L., Yang, X. H., Ramos, K. S., et al. (2016) · npj Genomic Medicine · doi:10.1038/npjgenmed.2016.6 · Cited by 26 · see citing works
Self-citationBruggen, S. V., Sheehy, C. E., Kraisin, S., Frederix, L., Wagner, D. D., & Martinod, K. (2024) · Journal of Thrombosis and Haemostasis · doi:10.1016/j.jtha.2024.01.022 · Cited by 25 · see citing works
Gupta, A., Slater, J., Boyne, D. J., Mitsakakis, N., Béliveau, A., Drużdżel, M. J., Brenner, D. R., Hussain, S., & Arora, P. (2019) · Medical Decision Making · doi:10.1177/0272989x19879095 · Cited by 25 · see citing works
- Authors
- Mäkinen, V.-P., Civelek, M., Meng, Q., Zhang, B., Zhu, J., Levian, C., Huan, T., Segrè, A. V., Ghosh, S., Vivar, J., Nikpay, M., Stewart, A. F. R., Nelson, C. P., Willenborg, C., Erdmann, J., Blakenberg, S., O'Donnell, C. J., März, W., Laaksonen, R., Epstein, S. E., Kathiresan, S., Shah, S. H., Hazen, S. L., Reilly, M. P., the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Consortium, Lusis, A. J., Samani, N. J., Schunkert, H., Quertermous, T., McPherson, R., Yang, X., & Assimes, T. L.
- Affiliations
- University of California, Los Angeles (US)
- Icahn School of Medicine at Mount Sinai (US)
- Framingham Heart Study (US)
- Broad Institute (US)
- North Carolina Central University (US)
- Ottawa Heart Institute (CA)
- University of Leicester (GB)
- Institute for Integrative and Experimental Genomics (DE)
- Universität Hamburg (DE)
- Heidelberg University (DE)
- Tampere University Hospital (FI)
- MedStar Washington Hospital Center (US)
- Harvard University (US)
- Duke Medical Center (US)
- Cleveland Clinic (US)
- University of Pennsylvania (US)
- German Centre for Cardiovascular Research (DE)
- Stanford Medicine (US)
- Corresponding author
- Yang, Xia
- Assimes, Themistocles L.
- ORCID
- Mäkinen, Ville-Petteri
- Civelek, Mete
- Zhang, Bin
- Zhu, Jun
- Levian, Candace
- Huan, Tianxiao
- Segrè, Ayellet V.
- Ghosh, Sujoy
- Vivar, Juan
- Nikpay, Majid
- Stewart, Alexandre F. R.
- Nelson, Christopher P.
- Erdmann, Jeanette
- März, Winfried
- Laaksonen, Reijo
- Kathiresan, Sekar
- Shah, Svati H.
- Hazen, Stanley L.
- Reilly, Muredach P.
- Lusis, Aldons J.
- Samani, Nilesh J.
- Schunkert, Heribert
- Quertermous, Thomas
- McPherson, Ruth
- Yang, Xia
- Assimes, Themistocles L.
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-07-17
- Volume
- 10
- Issue
- 7
- Pages
- e1004502
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC4102418
- OpenAlex
- W2139294174
- Cited by
- 196
- References
- 70
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 4 · 2023: 13 · 2022: 16 · 2021: 14 · 2020: 17 · 2019: 26 · 2018: 20 · 2017: 20 · 2016: 30 · 2015: 20 · 2014: 7
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- National University of Singapore (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Leicester Research Archive (University of Leicester) (submittedVersion, other-oa)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Funders
- American Heart Association
- Heart and Stroke Foundation of Canada (T-7268)
- National Institute for Health and Care Research (NF-SI-0611-10170)
- Suomen Kulttuurirahasto
- National Institutes of Health (5r21mh097156-02)
- Canadian Institutes of Health Research (MOP2390941)
- National Institute on Aging (R01AG046170, U01AG046170)
- National Heart, Lung, and Blood Institute (T32HL069766)
- National Institute of Mental Health (R21MH097156-01A1, R21 MH097156)
- National Cancer Institute (R01CA163772)
- National Institute of Allergy and Infectious Diseases (U01AI111598)
- National Institute of Diabetes and Digestive and Kidney Diseases (R21DK088319)
- National Institute on Minority Health and Health Disparities (P20MD000175)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Keywords
- coronary artery disease, gene regulatory networks, lipid metabolism, coagulation, immunity, antigen processing, glyoxalase I, aortic endothelial cells, driver genes, genetic susceptibility loci, integrative genomics
- MeSH terms
- Animals, Coronary Artery Disease, Gene Expression Regulation, Humans, Signal Transduction, Genetic Predisposition to Disease, Genomics, Mice, Gene Regulatory Networks, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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