Genetic Variation Determines PPARγ Function and Anti-diabetic Drug Response In Vivo
Open accessAbstract
SNPs affecting disease risk often reside in non-coding genomic regions. Here, we show that SNPs are highly enriched at mouse strain-selective adipose tissue binding sites for PPARγ, a nuclear receptor for anti-diabetic drugs. Many such SNPs alter binding motifs for PPARγ or cooperating factors and functionally regulate nearby genes whose expression is strain selective and imbalanced in heterozygous F1 mice. Moreover, genetically determined binding of PPARγ accounts for mouse strain-specific transcriptional effects of TZD drugs, providing proof of concept for personalized medicine related to nuclear receptor genomic occupancy. In human fat, motif-altering SNPs cause differential PPARγ binding, provide a molecular mechanism for some expression quantitative trait loci, and are risk factors for dysmetabolic traits in genome-wide association studies. One PPARγ motif-altering SNP is associated with HDL levels and other metabolic syndrome parameters. Thus, natural genetic variation in PPARγ genomic occupancy determines individual disease risk and drug response.
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Assisted loading has been described in various systems.
“Assisted loading has been described in various systems30–37.”
From Synergistic gene expression during the acute phase response is characterized by transcription factor assisted loading (2017) · cites this paper as [34]
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Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382 · see citing works
Grundy, S. M., Brewer, H. B., Cleeman, J. I., Smith, S. C., & Lenfant, C. (2004) · Circulation · doi:10.1161/01.cir.0000111245.75752.c6 · Cited by 5,982 · see citing works
Mechanisms of fatty acid-induced inhibition of glucose uptake.
Boden, G., Chen, X., Ruiz, J., White, J. V., & Rossetti, L. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117252 · Cited by 3,702 · see citing works
Lehmann, J. M., Moore, L. B., Smith-Oliver, T. A., Wilkison, W. O., Willson, T. M., & Kliewer, S. A. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.22.12953 · Cited by 3,626 · see citing works
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983 · see citing works
Self-citationTodaro, G. J., & Green, H. (1963) · The Journal of Cell Biology · doi:10.1083/jcb.17.2.299 · Cited by 2,725 · see citing works
An atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550 · see citing works
mPPAR gamma 2: tissue-specific regulator of an adipocyte enhancer.Preprint
Tontonoz, P., Hu, E., Graves, R. A., Budavari, A. I., & Spiegelman, B. M. (1994) · Genes & Development · doi:10.1101/gad.8.10.1224 · Cited by 2,182 · see citing works
Genetic and epigenetic fine mapping of causal autoimmune disease variants
Farh, K. K.-H., Marson, A., Zhu, J., Kleinewietfeld, M., Housley, W. J., Beik, S., Shoresh, N., Whitton, H., Ryan, R. J. H., Shishkin, A. A., et al. (2015) · Nature · doi:10.1038/nature13835 · Cited by 1,956 · see citing works
the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics · doi:10.1038/ng.2383 · Cited by 1,912 · see citing works
Self-citationFast and SNP-tolerant detection of complex variants and splicing in short reads
Wu, T. D., & Nacu, S. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq057 · Cited by 1,894 · see citing works
The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
Altshuler, D., Hirschhorn, J. N., Klannemark, M., Lindgren, C. M., Vohl, M.-C., Nemesh, J., Lane, C. R., Schaffner, S. F., Bolk, S., Brewer, C., et al. (2000) · Nature Genetics · doi:10.1038/79216 · Cited by 1,766 · see citing works
New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580 · cited 1× · see citing works
“Of note, in GWAS meta-analyses a near-perfect proxy (rs459193) has been identified as the lead SNP in finely-mapped loci for both T2D (Morris et al., 2012) and waist-hip ratio (Shungin et al., 2015).”
Mouse genomic variation and its effect on phenotypes and gene regulation.
Keane, T. M., Goodstadt, L., Danecek, P., White, M. A., Wong, K., Yalcin, B., Heger, A., Agam, A., Slater, G., Goodson, M., et al. (2011) · Nature · doi:10.1038/nature10413 · Cited by 1,580 · see citing works
Barroso, I., Gurnell, M., Crowley, V. E. F., Agostini, M., Schwabe, J. W., Soos, M. A., Maslen, G. L., Williams, T. D. M., Lewis, H., Schafer, A. J., et al. (1999) · Nature · doi:10.1038/47254 · Cited by 1,368 · see citing works
From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus
Musunuru, K., Strong, A., Frank-Kamenetsky, M., Lee, N. E., Ahfeldt, T., Sachs, K. V., Li, X., Li, H., Kuperwasser, N., Ruda, V. M., et al. (2010) · Nature · doi:10.1038/nature09266 · Cited by 1,140 · see citing works
PPARγ and C/EBP factors orchestrate adipocyte biology via adjacent binding on a genome-wide scalePreprint
Lefterova, M. I., Zhang, Y., Steger, D. J., Schupp, M., Schug, J., Cristancho, A. G., Feng, D., Zhuo, D. X., Stoeckert, C. J., Liu, X. S., et al. (2008) · Genes & Development · doi:10.1101/gad.1709008 · Cited by 826 · see citing works
Self-citationStructure of the intact PPAR-γ–RXR-α nuclear receptor complex on DNA
Chandra, V., Huang, P., Hamuro, Y., Raghuram, S., Wang, Y., Burris, T. P., & Rastinejad, F. (2008) · Nature · doi:10.1038/nature07413 · Cited by 808 · see citing works
Beyond GWASs: Illuminating the Dark Road from Association to Function
Edwards, S. L., Beesley, J., French, J. D., & Dunning, A. M. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.012 · Cited by 784 · see citing works
Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding
Schmidt, D., Wilson, M. D., Ballester, B., Schwalie, P. C., Brown, G. D., Marshall, A., Kutter, C., Watt, S., Martinez-Jimenez, C. P., Mackay, S., et al. (2010) · Science · doi:10.1126/science.1186176 · Cited by 700 · see citing works
A map of open chromatin in human pancreatic islets
Gaulton, K. J., Nammo, T., Pasquali, L., Simon, J. M., Giresi, P. G., Fogarty, M. P., Panhuis, T. M., Mieczkowski, P. A., Secchi, A., Bosco, D., et al. (2010) · Nature Genetics · doi:10.1038/ng.530 · Cited by 530 · see citing works
Nielsen, R., Pedersen, T. Å., Hagenbeek, D., Moulos, P., Siersbæk, R., Megens, E., Denissov, S., Børgesen, M., Françoijs, K., Mandrup, S., et al. (2008) · Genes & Development · doi:10.1101/gad.501108 · Cited by 520 · see citing works
Comparative Epigenomic Analysis of Murine and Human Adipogenesis
Mikkelsen, T. S., Zhao, X. D., Zhang, X., Wang, L., Gimble, J. M., Lander, E. S., & Rosen, E. D. (2010) · Cell · doi:10.1016/j.cell.2010.09.006 · Cited by 519 · see citing works
Thiazolidinediones and the promise of insulin sensitization in type 2 diabetes
Soccio, R. E., Chen, E. R., & Lazar, M. A. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.08.005 · Cited by 518 · see citing works
Self-citationEnhancer transcripts mark active estrogen receptor binding sitesPreprint
Hah, N., Murakami, S., Nagari, A., Danko, C. G., & Kraus, W. L. (2013) · Genome Research · doi:10.1101/gr.152306.112 · Cited by 475 · see citing works
SNP alleles in human disease and evolution
Shastry, B. S. (2002) · Journal of Human Genetics · doi:10.1007/s100380200086 · Cited by 385 · see citing works
Juge-Aubry, C. E., Pernin, A., Favez, T., Burger, A., Wahli, W., Meier, C. A., & Desvergne, B. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.40.25252 · Cited by 377 · see citing works
EBF2 Determines and Maintains Brown Adipocyte Identity
Rajakumari, S., Wu, J., Ishibashi, J., Lim, H., Giang, A.-H., Won, K., Reed, R. R., & Seale, P. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.01.015 · Cited by 367 · see citing works
Self-citationEffect of natural genetic variation on enhancer selection and function
Heinz, S., Romanoski, C. E., Benner, C., Allison, K. A., Kaikkonen, M. U., Orozco, L. D., & Glass, C. K. (2013) · Nature · doi:10.1038/nature12615 · Cited by 298 · see citing works
Stančáková, A., Civelek, M., Saleem, N. K., Soininen, P., Kangas, A. J., Cederberg, H., Paananen, J., Pihlajamäki, J., Bonnycastle, L. L., Morken, M. A., et al. (2012) · Diabetes · doi:10.2337/db11-1378 · Cited by 279 · see citing works
Self-citationA Regulatory SNP Causes a Human Genetic Disease by Creating a New Transcriptional Promoter
Gobbi, M. D., Viprakasit, V., Hughes, J. R., Fisher, C. A., Buckle, V. J., Ayyub, H., Gibbons, R. J., Vernimmen, D., Yoshinaga, Y., de Jong, P., et al. (2006) · Science · doi:10.1126/science.1126431 · Cited by 277 · see citing works
Madsen, M. S., Siersbæk, R., Boergesen, M., Nielsen, R., & Mandrup, S. (2014) · Molecular and Cellular Biology · doi:10.1128/mcb.01344-13 · Cited by 272 · see citing works
Circadian Enhancers Coordinate Multiple Phases of Rhythmic Gene Transcription In Vivo
Fang, B., Everett, L. J., Jager, J., Briggs, E. R., Armour, S. M., Feng, D., Roy, A., Gerhart‐Hines, Z., Sun, Z., & Lazar, M. A. (2014) · Cell · doi:10.1016/j.cell.2014.10.022 · Cited by 262 · see citing works
Self-citationGenetic Determinants of Energy Expenditure and Insulin Resistance in Diet-Induced Obesity in Mice
Almind, K., & Kahn, C. R. (2004) · Diabetes · doi:10.2337/diabetes.53.12.3274 · Cited by 256 · see citing works
Lipoatrophy and severe metabolic disturbance in mice with fat-specific deletion of PPARγ
Wang, F., Mullican, S. E., DiSpirito, J. R., Peed, L. C., & Lazar, M. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1314863110 · Cited by 253 · see citing works
Self-citationPropagation of adipogenic signals through an epigenomic transition statePreprint
Steger, D. J., Grant, G. R., Schupp, M., Tomaru, T., Lefterova, M. I., Schug, J., Manduchi, E., Stoeckert, C. J., & Lazar, M. A. (2010) · Genes & Development · doi:10.1101/gad.1907110 · Cited by 249 · see citing works
Self-citationLefterova, M. I., Steger, D. J., Zhuo, D. X., Qatanani, M., Mullican, S. E., Tuteja, G., Manduchi, E., Grant, G. R., & Lazar, M. A. (2010) · Molecular and Cellular Biology · doi:10.1128/mcb.01651-09 · Cited by 208 · see citing works
Self-citationThe Functional Consequences of Variation in Transcription Factor Binding
Cusanovich, D. A., Pavlovic, B. J., Pritchard, J. K., & Gilad, Y. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004226 · Cited by 205 · see citing works
Regulatory variation in a TBX5 enhancer leads to isolated congenital heart disease
Smemo, S., Campos, L. C. G., Moskowitz, I. P. G., Krieger, J. E., Pereira, A. C., & Nóbrega, M. A. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds165 · Cited by 201 · see citing works
Mechanisms of human insulin resistance and thiazolidinedione-mediated insulin sensitization
Sears, D. D., Hsiao, G., Hsiao, A., Yu, J., Courtney, C. H., Ofrecio, J. M., Chapman, J., & Subramaniam, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903032106 · Cited by 177 · see citing works
Cooperativity and Rapid Evolution of Cobound Transcription Factors in Closely Related Mammals
Stefflova, K., Thybert, D., Wilson, M. D., Streeter, I., Aleksic, J., Karagianni, P., Brāzma, A., Adams, D. J., Talianidis, I., Marioni, J. C., et al. (2013) · Cell · doi:10.1016/j.cell.2013.07.007 · Cited by 145 · see citing works
Transcriptional enhancers in development and disease
Sakabe, N. J., Savic, D., & Nóbrega, M. A. (2012) · Genome biology · doi:10.1186/gb-2012-13-1-238 · Cited by 138 · see citing works
Claussnitzer, M., Dankel, S. N., Klocke, B., Grallert, H., Glunk, V., Berulava, T., Lee, H., Oskolkov, N., Fadista, J., Ehlers, K., et al. (2014) · Cell · doi:10.1016/j.cell.2013.10.058 · Cited by 126 · see citing works
Self-citationPersonalized Pharmacogenomics Profiling Using Whole-Genome Sequencing
Mizzi, C., Peters, B. A., Mitropoulou, C., Mitropoulos, K. A., Κάτσιλα, Θ., Agarwal, M. R., van Schaik, R. H., Drmanac, R., Borg, J., & Patrinos, G. P. (2014) · Pharmacogenomics · doi:10.2217/pgs.14.102 · Cited by 100 · see citing works
Step, S. E., Lim, H., Marinis, J. M., Prokesch, A., Steger, D. J., You, S.-H., Won, K., & Lazar, M. A. (2014) · Genes & Development · doi:10.1101/gad.237628.114 · Cited by 97 · see citing works
Self-citationSchmidt, S. F., Jørgensen, M., Chen, Y., Nielsen, R., Sandelin, A., & Mandrup, S. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-152 · Cited by 94 · see citing works
Missing heritability of common diseases and treatments outside the protein-coding exome
Sadée, W., Hartmann, K., Seweryn, M. T., Pietrzak, M., Handelman, S. K., & Rempała, G. A. (2014) · Human Genetics · doi:10.1007/s00439-014-1476-7 · Cited by 69 · see citing works
Metabolomics annotates ABHD3 as a physiologic regulator of medium-chain phospholipids
Long, J. Z., Cisar, J. S., Milliken, D., Niessen, S., Wang, C., Trauger, S. A., Siuzdak, G. E., & Cravatt, B. F. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.659 · Cited by 67 · see citing works
Lessons from Functional Analysis of Genome-Wide Association Studies
Sur, I., Tuupanen, S., Whitington, T., Aaltonen, L. A., & Taipale, J. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-0789 · Cited by 66 · see citing works
Widespread Site-Dependent Buffering of Human Regulatory Polymorphism
Maurano, M. T., Wang, H., Kutyavin, T. V., & Stamatoyannopoulos, J. A. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002599 · Cited by 61 · see citing works
Species-Specific Strategies Underlying Conserved Functions of Metabolic Transcription Factors
Soccio, R. E., Tuteja, G., Everett, L. J., Li, Z., Lazar, M. A., & Kaestner, K. H. (2011) · Molecular Endocrinology · doi:10.1210/me.2010-0454 · Cited by 54 · see citing works
Self-citationCandidate genes for obesity revealed from a C57BL/6J × 129S1/SvImJ intercross
Su, Z., Korstanje, R., Tsaih, S.-W., & Paigen, B. J. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.56 · Cited by 29 · see citing works
QTL Analysis of Dietary Obesity in C57BL/6byj X 129P3/J F2 Mice: Diet- and Sex-Dependent Effects
Lin, C., Theodorides, M. L., McDaniel, A. H., Tordoff, M. G., Zhang, Q., Li, X., Bosak, N. P., Bachmanov, A. A., & Reed, D. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068776 · Cited by 23 · see citing works
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Insulin action and resistance in obesity and type 2 diabetes
Czech, M. P. (2017) · Nature Medicine · doi:10.1038/nm.4350 · Cited by 1,258 · see citing works
Molecular control of activation and priming in macrophages
Glass, C. K., & Natoli, G. (2015) · Nature Immunology · doi:10.1038/ni.3306 · Cited by 522 · see citing works
The Genetics of Transcription Factor DNA Binding Variation
Deplancke, B., Alpern, D., & Gardeux, V. (2016) · Cell · doi:10.1016/j.cell.2016.07.012 · Cited by 390 · see citing works
Distinct but complementary contributions of PPAR isotypes to energy homeostasis
Dubois, V., Eeckhoute, J., Lefèbvre, P., & Staels, B. (2017) · Journal of Clinical Investigation · doi:10.1172/jci88894 · Cited by 385 · see citing works
Systematic Functional Dissection of Common Genetic Variation Affecting Red Blood Cell Traits
Ulirsch, J. C., Nandakumar, S. K., Wang, L., Giani, F. C., Zhang, X., Rogov, P., Melnikov, A., McDonel, P., Do, R., Mikkelsen, T. S., et al. (2016) · Cell · doi:10.1016/j.cell.2016.04.048 · Cited by 328 · see citing works
Warming Induces Significant Reprogramming of Beige, but Not Brown, Adipocyte Cellular Identity
Roh, H. C., Tsai, L. T.-Y., Shao, M., Tenen, D. E., Shen, Y., Kumari, M., Lyubetskaya, A., Jacobs, C. L., Dawes, B. A., Gupta, R. K., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.005 · Cited by 232 · see citing works
Integrative regulation of physiology by histone deacetylase 3
Emmett, M. J., & Lazar, M. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0076-0 · Cited by 202 · see citing works
Self-citationHistone deacetylase 3 prepares brown adipose tissue for acute thermogenic challenge
Emmett, M. J., Lim, H., Jager, J., Richter, H. J., Adlanmérini, M., Peed, L. C., Briggs, E. R., Steger, D. J., Ma, T., Sims, C. A., et al. (2017) · Nature · doi:10.1038/nature22819 · Cited by 196 · see citing works
Self-citationDirect GR Binding Sites Potentiate Clusters of TF Binding across the Human Genome
Vockley, C. M., D’Ippolito, A. M., McDowell, I. C., Majoros, W. H., Safi, A., Song, L., Crawford, G. E., & Reddy, T. E. (2016) · Cell · doi:10.1016/j.cell.2016.07.049 · Cited by 182 · see citing works
Paglia, L. L., Listì, A., Caruso, S., Amodeo, V., Passiglia, F., Bazan, V., & Fanale, D. (2017) · PPAR Research · doi:10.1155/2017/8187235 · Cited by 174 · see citing works
Type 2 diabetes: genetic data sharing to advance complex disease research
Flannick, J. A., & Florez, J. C. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.56 · Cited by 145 · see citing works
Transcriptional control of energy metabolism by nuclear receptors
Scholtes, C., & Giguère, V. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00486-7 · Cited by 129 · see citing works
Monogenic Diabetes: What It Teaches Us on the Common Forms of Type 1 and Type 2 Diabetes
Yang, Y., & Chan, L. (2016) · Endocrine Reviews · doi:10.1210/er.2015-1116 · Cited by 133 · see citing works
PPARγ and TGFβ—Major Regulators of Metabolism, Inflammation, and Fibrosis in the Lungs and Kidneys
Kökény, G., Calvier, L., & Hansmann, G. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910431 · Cited by 130 · see citing works
Epigenetic Regulation of Monocyte and Macrophage Function
Hoeksema, M. A., & de Winther, M. P. J. (2016) · Antioxidants and Redox Signaling · doi:10.1089/ars.2016.6695 · Cited by 123 · see citing works
Transcription factor assisted loading and enhancer dynamics dictate the hepatic fasting response
Goldstein, I., Baek, S., Presman, D. M., Paakinaho, V., Swinstead, E. E., & Hager, G. L. (2017) · Genome Research · doi:10.1101/gr.212175.116 · Cited by 121 · see citing works
Transversions have larger regulatory effects than transitions
Guo, C., McDowell, I. C., Nodzenski, M., Scholtens, D. M., Allen, A. S., Lowe, W. L., & Reddy, T. E. (2017) · BMC Genomics · doi:10.1186/s12864-017-3785-4 · Cited by 119 · see citing works
van der Veeken, J., Glasner, A., Zhong, Y., Hu, W., Wang, Z.-M., Bou-Puerto, R., Charbonnier, L., Chatila, T. A., Leslie, C. S., & Rudensky, A. Y. (2020) · Immunity · doi:10.1016/j.immuni.2020.10.010 · Cited by 113 · see citing works
NFIA co-localizes with PPARγ and transcriptionally controls the brown fat gene program
Hiraike, Y., Waki, H., Yu, J., Nakamura, M., Miyake, K., Nagano, G., Nakaki, R., Ken, S., Kobayashi, H., Yamamoto, S., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3590 · Cited by 102 · see citing works
Antidiabetic Potential of Monoterpenes: A Case of Small Molecules Punching above Their Weight
Habtemariam, S. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms19010004 · Cited by 100 · see citing works
Goldstein, I., Paakinaho, V., Baek, S., Sung, M.-H., & Hager, G. L. (2017) · Nature Communications · doi:10.1038/s41467-017-02055-5 · Cited by 97 · see citing works
Penvose, A. R., Keenan, J. L., Bray, D., Ramlall, V., & Siggers, T. (2019) · Nature Communications · doi:10.1038/s41467-019-10264-3 · Cited by 87 · see citing works
Li, S., Mi, L., Yu, L., Yu, Q., Liu, T., Wang, G.-X., Zhao, X.-Y., Wu, J., & Lin, J. D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703494114 · Cited by 84 · see citing works
Genomic approaches for understanding the genetics of complex diseasePreprint
Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190603.115 · Cited by 84 · see citing works
Wu, C., Zhao, Y. L., Zhang, Y., Yang, Y., Su, W., Yang, Y., Sun, L., Zhang, F., Yu, J., Wang, Y., et al. (2021) · Journal of Advanced Research · doi:10.1016/j.jare.2021.07.011 · Cited by 83 · see citing works
Cooperation of cancer drivers with regulatory germline variants shapes clinical outcomes
Musa, J., Cidre‐Aranaz, F., Aynaud, M.-M., Orth, M. F., Knott, M. M. L., Mirabeau, O., Mazor, G., Varon, M., Hölting, T. L. B., Grossetête, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12071-2 · Cited by 70 · see citing works
Zhang, L., Huang, Y., Wang, M., Guo, Y., Liang, J., Yang, X., Qi, W., Wu, Y., Si, J., Zhu, S., et al. (2019) · iScience · doi:10.1016/j.isci.2019.07.025 · Cited by 69 · see citing works
Self-citationCHD7 regulates bone-fat balance by suppressing PPAR-γ signaling
Liu, C., Xiong, Q., Li, Q., Lin, W., Jiang, S., Zhang, D., Wang, Y., Duan, X., Gong, P., & Kang, N. (2022) · Nature Communications · doi:10.1038/s41467-022-29633-6 · Cited by 66 · see citing works
Wakabayashi, A., Ulirsch, J. C., Ludwig, L. S., Fiorini, C., Yasuda, M., Choudhuri, A., McDonel, P. E., Zon, L. I., & Sankaran, V. G. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521754113 · Cited by 59 · see citing works
Xu, P., Hong, F., Wang, J., Wang, J., Zhao, X., Wang, S., Xue, T., Xu, J., Zheng, X., & Zhai, Y. (2017) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2017.07.013 · Cited by 61 · see citing works
Butruille, L., Marousez, L., Pourpe, C., Oger, F., Lecoutre, S., Catheline, D., Görs, S., Metges, C. C., Guinez, C., Laborie, C., et al. (2019) · International Journal of Obesity · doi:10.1038/s41366-018-0310-z · Cited by 62 · see citing works
Li, K., Zhang, Y., Liu, X., Liu, Y., Gu, Z., Cao, H., Dickerson, K. E., Chen, M., Chen, W., Shao, Z., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1128 · Cited by 59 · see citing works
Transcriptional networks controlling stromal cell differentiation
Rauch, A., & Mandrup, S. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00357-7 · Cited by 57 · see citing works
Zhang, S., He, Y., Liu, H., Zhai, H., Huang, D., Yi, X., Dong, X., Wang, Z., Zhao, K., Zhou, Y., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz774 · Cited by 57 · see citing works
Remsberg, J. R., Ediger, B. N., Ho, W. Y., Damle, M., Li, Z.-H., Teng, C., Lanzillotta, C., Stoffers, D. A., & Lazar, M. A. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.11.007 · Cited by 54 · see citing works
Self-citationWang, Q. A., Zhang, F., Jiang, L., Ye, R., An, Y., Shao, M., Tao, C., Gupta, R. K., & Scherer, P. E. (2018) · Molecular and Cellular Biology · doi:10.1128/mcb.00677-17 · Cited by 54 · see citing works
Isoform-specific functions of PPARγ in gene regulation and metabolismPreprint
Hu, W., Jiang, C., Kim, M., Xiao, Y., Richter, H. J., Guan, D., Zhu, K., Krusen, B. M., Roberts, A. N., Miller, J., et al. (2022) · Genes & Development · doi:10.1101/gad.349232.121 · Cited by 54 · see citing works
Self-citationvan der Veeken, J., Zhong, Y., Sharma, R., Mažutis, L., Dao, P. H., Pe’er, D., Leslie, C. S., & Rudensky, A. Y. (2019) · Immunity · doi:10.1016/j.immuni.2019.03.031 · Cited by 53 · see citing works
Nature and nurture of tissue-specific macrophage phenotypes
Hoeksema, M. A., & Glass, C. K. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.10.005 · Cited by 52 · see citing works
Mechanisms underlying divergent responses of genetically distinct macrophages to IL-4
Hoeksema, M. A., Shen, Z., Holtman, I. R., Zheng, A., Spann, N. J., Cobo, I., Gymrek, M., & Glass, C. K. (2021) · Science Advances · doi:10.1126/sciadv.abf9808 · Cited by 50 · see citing works
Targeting PPARγ in the epigenome rescues genetic metabolic defects in mice
Soccio, R. E., Li, Z., Chen, E. R., Foong, Y. H., Benson, K. K., DiSpirito, J. R., Mullican, S. E., Emmett, M. J., Briggs, E. R., Peed, L. C., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci91211 · Cited by 51 · see citing works
Self-citationHNF4A modulates glucocorticoid action in the liver
Hunter, A. L., Poolman, T. M., Kim, D., Gonzalez, F. J., Bechtold, D. A., Loudon, A. S. I., Iqbal, M., & Ray, D. W. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110697 · Cited by 49 · see citing works
FoxP3 associates with enhancer-promoter loops to regulate Treg-specific gene expressionPreprint
Ramírez, R. N., Chowdhary, K., Léon, J., Mathis, D. J., & Benoist, C. O. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.12.468430 · Cited by 49 · see citing works
Nuclear Receptor Function through Genomics: Lessons from the Glucocorticoid Receptor
Cohen, D. M., & Steger, D. J. (2017) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2017.04.001 · Cited by 45 · see citing works
Self-citationBehera, V., Evans, P., Face, C. J., Hamagami, N., Sankaranarayanan, L., Keller, C. A., Giardine, B. M., Tan, K., Hardison, R. C., Shi, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03082-6 · Cited by 45 · see citing works
Narzo, A. F. D., Peters, L. A., Argmann, C., Stojmirović, A., Perrigoue, J., Li, K., Telesco, S., Kidd, B. A., Walker, J., Dudley, J. T., et al. (2016) · Clinical and Translational Gastroenterology · doi:10.1038/ctg.2016.34 · Cited by 44 · see citing works
Structures and consequences of pioneer factor binding to nucleosomes
Luzete-Monteiro, E., & Zaret, K. S. (2022) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2022.102425 · Cited by 44 · see citing works
NIH Precision Medicine Initiative: Implications for Diabetes Research
FRADKIN, J. E., Hanlon, M. C., & Rodgers, G. P. (2016) · Diabetes Care · doi:10.2337/dc16-0541 · Cited by 43 · see citing works
Benson, K. K., Hu, W., Weller, A. H., Bennett, A. H., Chen, E. R., Khetarpal, S. A., Yoshino, S., Bone, W. P., Wang, L., Rabinowitz, J. D., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913199116 · Cited by 43 · see citing works
Self-citationHansmann, G., Calvier, L., Risbano, M. G., & Chan, S. Y. (2019) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2019-0226ps · Cited by 42 · see citing works
Epigenomic and transcriptional control of insulin resistance
Rosen, E. D. (2016) · Journal of Internal Medicine · doi:10.1111/joim.12547 · Cited by 42 · see citing works
Zhang, Y., Alexander Joel Federation, Kim, S., O’Keefe, J., Lun, M., Xiang, D., Brown, J. D., & Steinhauser, M. L. (2018) · Journal of Clinical Investigation · doi:10.1172/jci98353 · Cited by 41 · see citing works
Broekema, M. F., Savage, D. B., Monajemi, H., & Kalkhoven, E. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2019.02.002 · Cited by 41 · see citing works
Lin, J. J., Hu, Y., Núñez, S., Foulkes, A. S., Cieply, B. W., Xue, C., Gerelus, M., Li, W., Zhang, H., Rader, D. J., et al. (2016) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.116.307573 · Cited by 37 · see citing works
Zhang, Y., Dallner, O. S., Nakadai, T., Fayzikhodjaeva, G., Lu, Y.-H., Lazar, M. A., Roeder, R. G., & Friedman, J. M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1806366115 · Cited by 36 · see citing works
Self-citationMandal, S. K., Kumar, B. K., Sharma, P. K., Murugesan, S., & Deepa, P. R. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105796 · Cited by 36 · see citing works
Hu, W., Jiang, C., Kim, M., Yang, W., Zhu, K., Guan, D., Lv, W., Xiao, Y., Wilson, J. R., Rader, D. J., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.06.004 · Cited by 36 · see citing works
Self-citationThe Nuclear Receptor Rev-erbα Regulates Adipose Tissue-specific FGF21 Signaling
Jager, J., Wang, F., Fang, B., Lim, H., Peed, L. C., Steger, D. J., Won, K., Kharitonenkov, A., Adams, A. C., & Lazar, M. A. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.719120 · Cited by 35 · see citing works
Self-citationRole of Fatty Acid Binding Protein 4 (FABP4) in Kidney Disease
Shi, M., Ma, L., & Fu, P. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867325666181008154622 · Cited by 35 · see citing works
Hu, W., Jiang, C., Guan, D., Dierickx, P., Zhang, R., Moscati, A., Nadkarni, G. N., Steger, D. J., Loos, R. J. F., Hu, C., et al. (2019) · Cell stem cell · doi:10.1016/j.stem.2018.11.018 · Cited by 35 · see citing works
Self-citationTargeting ApoC-III to Reduce Coronary Disease Risk
Khetarpal, S. A., Qamar, A., Millar, J. S., & Rader, D. J. (2016) · Current Atherosclerosis Reports · doi:10.1007/s11883-016-0609-y · Cited by 34 · see citing works
Cocaine-mediated circadian reprogramming in the striatum through dopamine D2R and PPARγ activation
Brami‐Cherrier, K., Lewis, R. G., Cervantes, M., Liu, Y., Tognini, P., Baldi, P., Sassone‐Corsi, P., & Borrelli, E. (2020) · Nature Communications · doi:10.1038/s41467-020-18200-6 · Cited by 34 · see citing works
The Three Ds of Transcription Activation by Glucagon: Direct, Delayed, and Dynamic
Goldstein, I., & Hager, G. L. (2017) · Endocrinology · doi:10.1210/en.2017-00521 · Cited by 32 · see citing works
Shao, M., Zhang, Q., Truong, A., Shan, B., Vishvanath, L., Li, L., Seale, P., & Gupta, R. K. (2021) · Genes & Development · doi:10.1101/gad.348780.121 · Cited by 33 · see citing works
Genetic backgrounds determine brown remodeling of white fat in rodents
Ferrannini, G., Namwanje, M., Fang, B., Damle, M., Li, D., Liu, Q., Lazar, M. A., & Qiang, L. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.08.013 · Cited by 32 · see citing works
Self-citationClonal tracing reveals diverse patterns of response to immune checkpoint blockade
Gu, S. S., Wang, X., Hu, X. S., Jiang, P., Li, Z., Traugh, N. C., Bu, X., Tang, Q., Wang, C., Zeng, Z., et al. (2020) · Genome biology · doi:10.1186/s13059-020-02166-1 · Cited by 29 · see citing works
Wang, Z., Yao, J., Guo, H., Sheng, N., Guo, Y., & Dai, J. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c00957 · Cited by 27 · see citing works
Zhang, Y., Xu, H., Yu, F., Wang, M., Li, M., Xu, T., Gao, Y., Wang, J., & Li, P. (2018) · PPAR Research · doi:10.1155/2018/8530371 · Cited by 26 · see citing works
New Aspects of Diabetes Research and Therapeutic Development
Satin, L. S., Soleimanpour, S. A., & Walker, E. M. (2021) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000160 · Cited by 29 · see citing works
Insulin Resistance and a Long, Strange Trip
Semenkovich, C. F. (2016) · New England Journal of Medicine · doi:10.1056/nejme1600962 · Cited by 26 · see citing works
Emerging therapies for right ventricular dysfunction and failure
Klinke, A., Schubert, T., Müller, M., Legchenko, E., Zelt, J. G. E., Shimauchi, T., Napp, L. C., Rothman, A. M. K., Bonnet, S., Stewart, D. J., et al. (2020) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt-20-592 · Cited by 25 · see citing works
Mechanisms Underlying the Selection and Function of Macrophage-Specific EnhancersPreprint
Link, V. M., Gosselin, D., & Glass, C. K. (2015) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2015.80.027367 · Cited by 25 · see citing works
Enhancer, epigenetics, and human disease
Luo, Z., & Lin, C. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.03.012 · Cited by 24 · see citing works
Dynamic enhancer function in the chromatin context
Goldstein, I., & Hager, G. L. (2018) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1390 · Cited by 25 · see citing works
Chromatin reprogramming in breast cancer
Swinstead, E. E., Paakinaho, V., & Hager, G. L. (2018) · Endocrine Related Cancer · doi:10.1530/erc-18-0033 · Cited by 23 · see citing works
PPARγ lipodystrophy mutants reveal intermolecular interactions required for enhancer activation
Madsen, M. S., Broekema, M. F., Madsen, M. R., Koppen, A., Borgman, A., Gräwe, C., Thomsen, E. G. K., Westland, D., Kranendonk, M. E. G., Koerkamp, M. J. A. G., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34766-9 · Cited by 23 · see citing works
Natural helix 9 mutants of PPARγ differently affect its transcriptional activity
Broekema, M. F., Massink, M. P. G., Donato, C., de Ligt, J., Schaarschmidt, J., Borgman, A., Schooneman, M. G., Melchers, D., Gerding, M. N., Houtman, R., et al. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2018.12.005 · Cited by 22 · see citing works
Is the Mouse a Good Model of Human PPARγ-Related Metabolic Diseases?
Pap, A., Cuaranta‐Monroy, I., Peloquin, M., & Nagy, L. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17081236 · Cited by 20 · see citing works
Guo, H., Zhang, Q., Yuan, H., Zhou, L., Li, F., Wang, S.-M., Shi, G., & Wang, M. (2020) · PPAR Research · doi:10.1155/2020/8889612 · Cited by 20 · see citing works
Body weight regulation, socioeconomic status and epigenetic alterations.
Weihrauch-Blüher, S., Richter, M., & Staege, M. (2018) · Metabolism: Clinical and Experimental · doi:10.1016/j.metabol.2018.03.006 · Cited by 18 · see citing works
Chen, J., Luo, X., Xie, G., Chen, K., Jiang, H., Pan, F., Li, J., Ruan, Z., Pang, X., & Liang, H. (2016) · Medicine · doi:10.1097/md.0000000000003652 · Cited by 15 · see citing works
Mononen, J., Taipale, M., Malinen, M., Velidendla, B., Niskanen, E. A., Levonen, A., Ruotsalainen, A., & Heikkinen, S. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad1225 · Cited by 14 · see citing works
A genome-wide interactome of DNA-associated proteins in the human liverPreprint
Ramaker, R. C., Savic, D., Hardigan, A. A., Newberry, K. M., Cooper, G. M., Myers, R., & Cooper, S. J. (2017) · Genome Research · doi:10.1101/gr.222083.117 · Cited by 12 · see citing works
Musa, J., & Grünewald, T. G. P. (2019) · Molecular & Cellular Oncology · doi:10.1080/23723556.2019.1682924 · Cited by 12 · see citing works
Li, S., Kvon, E. Z., Visel, A., Pennacchio, L. A., & Ovcharenko, I. (2019) · Genome biology · doi:10.1186/s13059-019-1750-z · Cited by 11 · see citing works
Contributions of microRNAs to Peripheral Insulin Sensitivity
Kim, K. H., & Hartig, S. M. (2021) · Endocrinology · doi:10.1210/endocr/bqab250 · Cited by 11 · see citing works
Hiraike, Y., Tsutsumi, S., Wada, T., Oguchi, M., Saito, K., Nakamura, M., Ota, S., Koebis, M., Nakao, H., Aiba, A., et al. (2022) · iScience · doi:10.1016/j.isci.2022.104729 · Cited by 10 · see citing works
Hains, D. S., Polley, S., Liang, D., Saxena, V., Arregui, S., Ketz, J., Barr-Beare, E., Rawson, A. E., Spencer, J. D., Cohen, A., et al. (2021) · Clinical and Translational Medicine · doi:10.1002/ctm2.477 · Cited by 9 · see citing works
Impact of C57BL/6 substrain on sex-dependent differences in mouse stroke models
Nowak, T. S., & Mulligan, M. K. (2018) · Neurochemistry International · doi:10.1016/j.neuint.2018.11.011 · Cited by 9 · see citing works
Guo, Q., Choi, J. H., Lee, M., & Kim, J. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf669 · Cited by 7 · see citing works
Zhou, D., Chen, Y., Liu, P., Zhu, K., Holder-Haynes, J. G., Lloyd, S. J.-A., La, C. M., Astapova, I. I., Choa, S., Xiong, Y., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.07.010 · Cited by 7 · see citing works
Modulating the Genomic Programming of AdipocytesPreprint
Loft, A., Schmidt, S. F., & Mandrup, S. (2015) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2015.80.027516 · Cited by 7 · see citing works
Nagy, G., Dániel, B., Cuaranta‐Monroy, I., & Nagy, L. (2020) · Molecular and Cellular Biology · doi:10.1128/mcb.00547-19 · Cited by 6 · see citing works
Sun, G., Zhao, C., Han, J., Wu, S., Chen, Y., Yao, J., & Li, L. (2024) · Cellular Oncology · doi:10.1007/s13402-024-01011-y · Cited by 5 · see citing works
Human genetic variation determines 24-hour rhythmic gene expression and disease risk
Chen, Y., Liu, P., Sabo, A., & Guan, D. (2025) · Nature Communications · doi:10.1038/s41467-025-59524-5 · Cited by 7 · see citing works
From Prescription to Transcription: Genome Sequence as Drug Target
Guo, C., D’Ippolito, A. M., & Reddy, T. E. (2015) · Cell · doi:10.1016/j.cell.2015.06.033 · Cited by 5 · see citing works
Extensive enhancer crosstalk controls PPARG2 activation during adipogenesis
Cetnarowska, A., Hyldahl, M., Nygård, M., Dashti, H., Hansen, B. M., Holm, L. K., Madsen, K., Madsen, M. S., Shukla, V., Mitchell, E. D., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70401-7 · Cited by 4 · see citing works
Oxytocin receptor enhances adipocyte browning and energy metabolism in mice
Bao, X., San, M., Wang, S., Zhuo, Y., Liu, Z., Zheng, Y., & Li, D. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114534 · Cited by 4 · see citing works
Interactions between diabetic and hypertensive drugs: a pharmacogenetics approach
Ansari, A. I., Rizvi, A. A., Verma, S., Abbas, M., Siddiqi, Z., Mishra, D., Verma, S., Raza, S. T., & Mahdi, F. (2023) · Molecular Genetics and Genomics · doi:10.1007/s00438-023-02011-7 · Cited by 5 · see citing works
Liu, T., Chen, J., Liu, A., Chen, L., Liang, X., Peng, J., Zheng, M.-H., Li, J., Cao, Y., & Shao, C. (2023) · Pancreas · doi:10.1097/mpa.0000000000002229 · Cited by 4 · see citing works
- Authors
- Soccio, R. E., Chen, E. R., Rajapurkar, S. R., Safabakhsh, P., Marinis, J. M., Dispirito, J. R., Emmett, M. J., Briggs, E. R., Fang, B., Everett, L. J., Lim, H.-W., Won, K.-J., Steger, D. J., Wu, Y., Civelek, M., Voight, B. F., & Lazar, M. A.
- Affiliations
- University of Pennsylvania (US)
- University of North Carolina at Chapel Hill (US)
- University of California, Los Angeles (US)
- Corresponding author
- Lazar, Mitchell A.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 162
- Issue
- 1
- Pages
- 33-44
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4493773
- OpenAlex
- W1511590367
- Cited by
- 117
- References
- 53
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 2 · 2023: 3 · 2022: 9 · 2021: 10 · 2020: 11 · 2019: 13 · 2018: 14 · 2017: 16 · 2016: 20 · 2015: 7
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institutes of Health (5r01dk049780-29)
- National Heart, Lung, and Blood Institute (R00HL121172, K99HL121172, P01HL028481)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK 49780, R01DK098542, R01-DK049780, F30DK104513, R01DK101478, R21DK098769, P01DK049210, K08DK094968, P30 DK 19525, P30DK019525, T32DK007314)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- PPARγ, single nucleotide polymorphisms, nuclear receptor binding sites, adipose tissue, thiazolidinediones, drug response, mouse strain differences, expression quantitative trait loci, HDL cholesterol, metabolic syndrome, personalized medicine
- MeSH terms
- Adipose Tissue, Animals, Humans, Hypoglycemic Agents, Mice, Inbred C57BL, Transcription Factors, Gene Expression, Polymorphism, Single Nucleotide, PPAR gamma, Mice, Mice, 129 Strain
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