30 results on '"Kang, So Min"'
Search Results
2. Palmitate and minimally-modified low-density lipoprotein cooperatively promote inflammatory responses in macrophages.
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Ann, Soo-Jin, Kim, Ka-Kyung, Cheon, Eun Jeong, Noh, Hye-Min, Hwang, Inhwa, Yu, Je-Wook, Park, Sungha, Kang, Seok-Min, Manabe, Ichiro, Miller, Yury I, Kim, Sangwoo, and Lee, Sang-Hak
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Cell Line ,Macrophages ,Animals ,Humans ,Mice ,Escherichia coli ,Lipopolysaccharides ,Palmitates ,Lipoproteins ,LDL ,Immunologic Factors ,Cytokines ,MAP Kinase Signaling System ,Gene Expression ,Dose-Response Relationship ,Drug ,Drug Synergism ,Scavenger Receptors ,Class E ,CD36 Antigens ,Dose-Response Relationship ,Drug ,Lipoproteins ,LDL ,Scavenger Receptors ,Class E ,General Science & Technology - Abstract
Increased consumption of Western-type diets and environmental insults lead to wide-spread increases in the plasma levels of saturated fatty acids and lipoprotein oxidation. The aim of this study is to examine whether palmitate and minimally modified low-density lipoprotein (mmLDL) exert an additive effect on macrophage activation. We found that CXCL2 and TNF-α secretion as well as ERK and p38 phosphorylation were additively increased by co-treatment of J774 macrophages with palmitate and mmLDL in the presence of lipopolysaccharide (LPS). Furthermore, the analysis of differentially expressed genes using the KEGG database revealed that several pathways, including cytokine-cytokine receptor interaction, and genes were significantly altered. These results were validated with real-time PCR, showing upregulation of Il-6, Csf3, Il-1β, and Clec4d. The present study demonstrated that palmitate and mmLDL additively potentiate the LPS-induced activation of macrophages. These results suggest the existence of synergistic mechanisms by which saturated fatty acids and oxidized lipoproteins activate immune cells.
- Published
- 2018
3. Inhibition of TBL1 cleavage alleviates doxorubicin-induced cardiomyocytes death by regulating the Wnt/β-catenin signal pathway.
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Lee, Sun-Ho, Lee, Jangho, Oh, Jaewon, Hwang, Jin-Taek, Lee, Hae-Jeung, Byun, Hwa Kyung, Kim, Hyeong-Jin, Suh, David, Yoon, Ho-Geun, Park, Sahng Wook, Kang, Seok-Min, Kwon, Chulan, Lee, Seung-Hyun, and Choi, Hyo-Kyoung
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PLURIPOTENT stem cells ,CELL death ,WNT genes ,GENE expression ,DILATED cardiomyopathy - Abstract
Aims Doxorubicin (DOX) is a widely used anthracycline anticancer agent; however, its irreversible effects on the heart can result in DOX-induced cardiotoxicity (DICT) after cancer treatment. Unfortunately, the pathophysiology of DICT has not yet been fully elucidated, and there are no effective strategies for its prevention or treatment. In this investigation, the novel role of transducin beta-like protein 1 (TBL1) in developing and regulating DICT was explored. Methods and results We observed a reduction in TBL1 protein expression levels as well as cleavage events in the transplanted cardiac tissues of patients diagnosed with Dilated Cardiomyopathy and DICT. It was revealed that DOX selectively induces TBL1 cleavage at caspase-3 preferred sites—D125, D136, and D215. Interestingly, overexpression of the uncleaved TBL1 mutant (TBL1
uclv ) variant reduced apoptosis, effectively preventing DOX-induced cell death. We confirmed that cleaved TBL1 cannot form a complex with β-catenin. As a result, Wnt reporter activity and Wnt target gene expression collectively indicate a decrease in Wnt/β-catenin signalling, leading to DICT progression. Furthermore, the cleaved TBL1 triggered DOX-induced abnormal electrophysiological features and disrupted calcium homeostasis. However, these effects were improved in TBL1uclv-overexpressing human-induced pluripotent stem cell-derived cardiomyocytes. Finally, in a DICT mouse model, TBL1uclv overexpression inhibited the DICT-induced reduction of cardiac contractility and collagen accumulation, ultimately protecting cardiomyocytes from cell death. Conclusion Our findings reveal that the inhibition of TBL1 cleavage not only mitigates apoptosis but also enhances cardiomyocyte function, even in the context of DOX administration. Consequently, this study's results suggest that inhibiting TBL1 cleavage may be a novel strategy to ameliorate DICT. [ABSTRACT FROM AUTHOR]- Published
- 2024
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4. Identification and functional validation of the novel antimalarial resistance locus PF10_0355 in Plasmodium falciparum.
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Van Tyne, Daria, Park, Daniel J, Schaffner, Stephen F, Neafsey, Daniel E, Angelino, Elaine, Cortese, Joseph F, Barnes, Kayla G, Rosen, David M, Lukens, Amanda K, Daniels, Rachel F, Milner, Danny A, Johnson, Charles A, Shlyakhter, Ilya, Grossman, Sharon R, Becker, Justin S, Yamins, Daniel, Karlsson, Elinor K, Ndiaye, Daouda, Sarr, Ousmane, Mboup, Souleymane, Happi, Christian, Furlotte, Nicholas A, Eskin, Eleazar, Kang, Hyun Min, Hartl, Daniel L, Birren, Bruce W, Wiegand, Roger C, Lander, Eric S, Wirth, Dyann F, Volkman, Sarah K, and Sabeti, Pardis C
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Plasmodium falciparum ,Malaria ,Falciparum ,Ethanolamines ,Mefloquine ,Fluorenes ,Phenanthrenes ,Antimalarials ,Gene Expression ,Drug Resistance ,Genotype ,Gene Dosage ,Haplotypes ,Linkage Disequilibrium ,Polymorphism ,Single Nucleotide ,Genetic Variation ,Selection ,Genetic ,Genetic Loci ,Genetic Association Studies ,Lumefantrine ,Malaria ,Falciparum ,Polymorphism ,Single Nucleotide ,Selection ,Genetic ,Genetics ,Developmental Biology - Abstract
The Plasmodium falciparum parasite's ability to adapt to environmental pressures, such as the human immune system and antimalarial drugs, makes malaria an enduring burden to public health. Understanding the genetic basis of these adaptations is critical to intervening successfully against malaria. To that end, we created a high-density genotyping array that assays over 17,000 single nucleotide polymorphisms (∼ 1 SNP/kb), and applied it to 57 culture-adapted parasites from three continents. We characterized genome-wide genetic diversity within and between populations and identified numerous loci with signals of natural selection, suggesting their role in recent adaptation. In addition, we performed a genome-wide association study (GWAS), searching for loci correlated with resistance to thirteen antimalarials; we detected both known and novel resistance loci, including a new halofantrine resistance locus, PF10_0355. Through functional testing we demonstrated that PF10_0355 overexpression decreases sensitivity to halofantrine, mefloquine, and lumefantrine, but not to structurally unrelated antimalarials, and that increased gene copy number mediates resistance. Our GWAS and follow-on functional validation demonstrate the potential of genome-wide studies to elucidate functionally important loci in the malaria parasite genome.
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- 2011
5. Meta-imputation of transcriptome from genotypes across multiple datasets by leveraging publicly available summary-level data.
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Liu, Andrew E. and Kang, Hyun Min
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LYMPHOBLASTOID cell lines , *GENOTYPES , *TRANSCRIPTOMES , *GENE regulatory networks , *GENE expression - Abstract
Transcriptome wide association studies (TWAS) can be used as a powerful method to identify and interpret the underlying biological mechanisms behind GWAS by mapping gene expression levels with phenotypes. In TWAS, gene expression is often imputed from individual-level genotypes of regulatory variants identified from external resources, such as Genotype-Tissue Expression (GTEx) Project. In this setting, a straightforward approach to impute expression levels of a specific tissue is to use the model trained from the same tissue type. When multiple tissues are available for the same subjects, it has been demonstrated that training imputation models from multiple tissue types improves the accuracy because of shared eQTLs between the tissues and increase in effective sample size. However, existing joint-tissue methods require access of genotype and expression data across all tissues. Moreover, they cannot leverage the abundance of various expression datasets across various tissues for non-overlapping individuals. Here, we explore the optimal way to combine imputed levels across training models from multiple tissues and datasets in a flexible manner using summary-level data. Our proposed method (SWAM) combines arbitrary number of transcriptome imputation models to linearly optimize the imputation accuracy given a target tissue. By integrating models across tissues and/or individuals, SWAM can improve the accuracy of transcriptome imputation or to improve power to TWAS while only requiring individual-level data from a single reference cohort. To evaluate the accuracy of SWAM, we combined 49 tissue-specific gene expression imputation models from the GTEx Project as well as from a large eQTL study of Depression Susceptibility Genes and Networks (DGN) Project and tested imputation accuracy in GEUVADIS lymphoblastoid cell lines samples. We also extend our meta-imputation method to meta-TWAS to leverage multiple tissues in TWAS analysis with summary-level statistics. Our results capitalize on the importance of integrating multiple tissues to unravel regulatory impacts of genetic variants on complex traits. Author summary: The gene expression levels within a cell are affected by various factors, including DNA variation, cell type, cellular microenvironment, disease status, and other environmental factors surrounding the individual. The genetic component of gene expression is known to explain a substantial fraction of transcriptional variation among individuals and can be imputed from genotypes in a tissue-specific manner, by training from population-scale transcriptomic profiles designed to identify expression quantitative loci (eQTLs). Imputing gene expression levels is shown to help understand the genetic basis of human disease through Transcriptome-wide association analysis (TWAS) and Mendelian Randomization (MR). However, it has been unclear how to integrate multiple imputation models trained from individual datasets to maximize their accuracy without having to access individual genotypes and expression levels that are often protected for privacy concerns. We developed SWAM (Smartly Weighted Averaging across Multiple datasets), a meta-imputation framework which can accurately impute gene expression levels from genotypes by integrating multiple imputation models without requiring individual-level data. Our method examines the similarity or differences between resources and borrowing information most relevant to the tissue of interest. We demonstrate that SWAM outperforms existing single-tissue and multi-tissue imputation models and continue to increase accuracy when integrating additional imputation models. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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6. General gene expression patterns and stemness of the gingiva and dental pulp.
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Lee, Ko Eun, Kang, Chung-Min, Jeon, Mijeong, Kim, Seong-Oh, Lee, Jae-Ho, and Choi, Hyung-Jun
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DENTAL pulp ,GENE expression ,GINGIVA ,MESENCHYMAL stem cells ,ION transport (Biology) - Abstract
Due to the unique properties of healing processes and cellular differentiation, the gingiva and dental pulp have attracted attention as a potential source of mesenchymal stem cells (MSCs). The purpose of this study was to obtain molecular-level information on these tissues in terms of their function and differentiation processes and investigate stemness. Healthy gingival tissues were collected from patients (n = 9; aged 7–12 years) who underwent simple surgical procedures, and normal dental pulp tissues were obtained from patients (n = 25; aged 11–25 years) undergoing tooth extraction for orthodontic reasons. Complementary DNA microarray, qRT-qPCR, and immunohistochemical staining were performed to assess general and MSC gene expression patterns. In the gingival tissue, genes related to keratinization, the formation of epithelial cells and ectoderm, and immune and/or inflammatory responses were highly expressed. Meanwhile, in the dental pulp tissue, genes related to ion transport, neuronal development and axon guidance, bone and enamel mineralization, extracellular matrix organization, and angiogenesis were highly expressed. When focusing on the expression of MSC genes, induced pluripotent stem (iPS) cell genes, such as Sox2 , c-Myc , and KLF4 , were expressed at higher levels in the gingival tissue, whereas dental stem cell genes, such as NT5E and VCAM1 , were expressed in dental pulp tissue. We found different general and MSC gene expression patterns between the gingival and dental pulp tissue. These results have implications for future regenerative medicine, considering the application of gingival tissue as a potential source of iPS cells. [ABSTRACT FROM AUTHOR]
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- 2022
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7. FIVEx: an interactive eQTL browser across public datasets.
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Kwong, Alan, Boughton, Andrew P, Wang, Mukai, VandeHaar, Peter, Boehnke, Michael, Abecasis, Gonçalo, and Kang, Hyun Min
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LOCUS (Genetics) ,GENETIC regulation ,GENETIC variation ,GENE expression ,SOURCE code - Abstract
Summary Expression quantitative trait loci (eQTLs) characterize the associations between genetic variation and gene expression to provide insights into tissue-specific gene regulation. Interactive visualization of tissue-specific eQTLs or splice QTLs (sQTLs) can facilitate our understanding of functional variants relevant to disease-related traits. However, combining the multi-dimensional nature of eQTLs/sQTLs into a concise and informative visualization is challenging. Existing QTL visualization tools provide useful ways to summarize the unprecedented scale of transcriptomic data but are not necessarily tailored to answer questions about the functional interpretations of trait-associated variants or other variants of interest. We developed FIVEx, an interactive eQTL/sQTL browser with an intuitive interface tailored to the functional interpretation of associated variants. It features the ability to navigate seamlessly between different data views while providing relevant tissue- and locus-specific information to offer users a better understanding of population-scale multi-tissue transcriptomic profiles. Our implementation of the FIVEx browser on the EBI eQTL catalogue, encompassing 16 publicly available RNA-seq studies, provides important insights for understanding potential tissue-specific regulatory mechanisms underlying trait-associated signals. Availability and implementation A FIVEx instance visualizing EBI eQTL catalogue data can be found at https://fivex.sph.umich.edu. Its source code is open source under an MIT license at https://github.com/statgen/fivex. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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8. New genetic loci link adipose and insulin biology to body fat distribution
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Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, Ittermann, Till, Aulchenko, Yurii S, Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, James, Alan L, Palsson, Stefan Th, Reppe, Sjur, Rotter, Jerome I, Sigurdsson, Gunnar, van Meurs, Joyce B J, Verlaan, Dominique, Williams, Frances M K, Wood, Andrew R, Zhou, Yanhua, Gautvik, Kaare M, Johansson, Ingegerd, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A, Chasman, Daniel I, Clark, Graeme R, Cummings, Steven R, Danoy, Patrick, Dennison, Elaine M, Eastell, Richard, Eisman, John A, Juliusdottir, Thorhildur, Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D, Jones, Graeme, Jukema, J Wouter, Khaw, Kay-Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Kalafati, Ioanna-Panagiota, Mitchell, Braxton D, Nandakumar, Kannabiran, Nicholson, Geoffrey C, Oostra, Ben A, Peacock, Munro, Pols, Huibert A P, Prince, Richard L, Raitakari, Olli, Reid, Ian R, Robbins, John, Kinnunen, Leena, Sambrook, Philip N, Sham, Pak Chung, Shuldiner, Alan R, Tylavsky, Frances A, van Duijn, Cornelia M, Wareham, Nick J, Cupples, L Adrienne, Econs, Michael J, Evans, David M, Harris, Tamara B, Koenig, Wolfgang, Kung, Annie Wai Chee, Psaty, Bruce M, Reeve, Jonathan, Spector, Timothy D, Streeten, Elizabeth A, Zillikens, M Carola, Thorsteinsdottir, Unnur, Ohlsson, Claes, Karasik, David, Richards, J Brent, Kooner, Ishminder K, Brown, Matthew A, Stefansson, Kari, Uitterlinden, André G, Ralston, Stuart H, Ioannidis, John P A, Kiel, Douglas P, Rivadeneira, Fernando, Sandholm, Niina, Salem, Rany M, McKnight, Amy Jayne, Kratzer, Wolfgang, Brennan, Eoin P, Forsblom, Carol, Isakova, Tamara, McKay, Gareth J, Williams, Winfred W, Sadlier, Denise M, Mäkinen, Ville-Petteri, Swan, Elizabeth J, Palmer, Cameron, Boright, Andrew P, Lamina, Claudia, Ahlqvist, Emma, Deshmukh, Harshal A, Keller, Benjamin J, Huang, Huateng, Ahola, Aila, Fagerholm, Emma, Gordin, Daniel, Harjutsalo, Valma, He, Bing, Heikkilä, Outi, Buchkovich, Martin L, Leander, Karin, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Saraheimo, Markku, Sarti, Cinzia, Lee, Nanette R, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Wadén, Johan, Gill, Geoffrey V, Lichtner, Peter, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Ladenvall, Claes, Alhenc-Gelas, François, Lind, Lars, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Möllsten, Anna, Cimponeriu, Dan, Lindström, Jaana, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Colhoun, Helen M, Panduru, Nicolae Mircea, Lobbens, Stéphane, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Willer, Cristen J, Schmidt, Ellen M, Mach, François, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Mora, Samia, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Magnusson, Patrik Ke, Chang, Hsing-Yi, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Ferreira, Teresa, Fischer, Krista, Mahajan, Anubha, Fontanillas, Pierre, Fraser, Ross M, Freitag, Daniel F, Gurdasani, Deepti, Hyppönen, Elina, Jackson, Anne U, Johansson, Åsa, Johnson, Toby, Heard-Costa, Nancy L, McArdle, Wendy L, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Mihailov, Evelin, Montasser, May E, Menni, Cristina, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Service, Susan K, Shah, Sonia, Merger, Sigrun, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Been, Latonya F, Bolton, Jennifer L, Milani, Lili, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doney, Alex S F, Döring, Angela, Elliott, Paul, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Mills, Rebecca, Gigante, Bruna, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hartikainen, Anna-Liisa, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John J P, Kim, Eric, Klopp, Norman, Komulainen, Pirjo, Monda, Keri L, Kumari, Meena, Langenberg, Claudia, Lin, Shih-Yi, Loos, Ruth J F, Meisinger, Christa, Mooijaart, Simon P, Müller, Gabrielle, Nagaraja, Ramaiah, Narisu, Narisu, Nieminen, Tuomo V M, Nsubuga, Rebecca N, Olafsson, Isleifur, Ong, Ken K, Palotie, Aarno, Papamarkou, Theodore, Pomilla, Cristina, Mühleisen, Thomas W, Pouta, Anneli, Rader, Daniel J, Reilly, Muredach P, Rudan, Igor, Ruokonen, Aimo, Samani, Nilesh, Scharnagl, Hubert, Seeley, Janet, Roman, Tamara S, Mulas, Antonella, Silander, Kaisa, Stančáková, Alena, Stirrups, Kathleen, Swift, Amy J, Tiret, Laurence, Uitterlinden, Andre G, van Pelt, L Joost, Vedantam, Sailaja, Wainwright, Nicholas, Wijmenga, Cisca, Müller, Gabriele, Wild, Sarah H, Willemsen, Gonneke, Wilsgaard, Tom, Young, Elizabeth H, Zhao, Jing Hua, Adair, Linda S, Arveiler, Dominique, Assimes, Themistocles L, Bandinelli, Stefania, Bennett, Franklyn, Bochud, Murielle, Boehm, Bernhard O, Boomsma, Dorret I, Borecki, Ingrid B, Bornstein, Stefan R, Bovet, Pascal, Burnier, Michel, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chen, Yii-Der Ida, Collins, Francis S, Cooper, Richard S, Danesh, John, de Faire, Ulf, Feranil, Alan B, Ferrières, Jean, Ferrucci, Luigi, Nalls, Michael A, Freimer, Nelson B, Gieger, Christian, Groop, Leif C, Gyllensten, Ulf, Hamsten, Anders, Hingorani, Aroon, Hovingh, G Kees, Hsiung, Chao Agnes, Humphries, Steve E, Hveem, Kristian, Iribarren, Carlos, Järvelin, Marjo-Riitta, Jula, Antti, Kaprio, Jaakko, Glorioso, Nicola, Kesäniemi, Antero, Kivimaki, Mika, Kooner, Jaspal S, Koudstaal, Peter J, Krauss, Ronald M, Kuh, Diana, Kuusisto, Johanna, Kyvik, Kirsten O, Laakso, Markku, Lakka, Timo A, Lindgren, Cecilia M, Martin, Nicholas G, März, Winfried, McCarthy, Mark I, McKenzie, Colin A, Meneton, Pierre, Metspalu, Andres, Moilanen, Leena, Morris, Andrew D, Olden, Matthias, Munroe, Patricia B, Njølstad, Inger, Pedersen, Nancy L, Power, Chris, Pramstaller, Peter P, Price, Jackie F, Quertermous, Thomas, Rauramaa, Rainer, Saleheen, Danish, Rayner, Nigel W, Salomaa, Veikko, Sanghera, Dharambir K, Saramies, Jouko, Schwarz, Peter E H, Sheu, Wayne H-H, Siegbahn, Agneta, Spector, Tim D, Strachan, David P, Drong, Alexander W, Renstrom, Frida, Tayo, Bamidele O, Tremoli, Elena, Uusitupa, Matti, Vollenweider, Peter, Wallentin, Lars, Wareham, Nicholas J, Whitfield, John B, Wolffenbuttel, Bruce H R, Ried, Janina S, Ordovas, Jose M, Boerwinkle, Eric, Palmer, Colin N A, Franks, Paul W, Ripatti, Samuli, Sandhu, Manjinder S, Robertson, Neil R, Rich, Stephen S, Boehnke, Michael, Deloukas, Panos, Kathiresan, Sekar, Mohlke, Karen L, Ingelsson, Erik, Abecasis, Gonçalo R, Abecasis, Gonçalo, Caulfield, Mark, Chasman, Dan, Ehret, Georg, Johnson, Andrew, Johnson, Louise, Larson, Martin, Levy, Daniel, Munroe, Patricia, Newton-Cheh, Christopher, O'Reilly, Paul, Palmas, Walter, Psaty, Bruce, Rice, Kenneth, Smith, Albert, Snider, Harold, Tobin, Martin, Van Duijn, Cornelia, Verwoert, Germaine, Rice, Kenneth M, Johnson, Andrew D, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, Scholtens, Salome, O'Reilly, Paul F, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Aulchenko, Yurii, Heath, Simon, Sennblad, Bengt, Sõber, Siim, Parsa, Afshin, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Peden, John F, Seufferlein, Thomas, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Fox, Ervin R, Sitlani, Colleen M, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Whincup, Peter H, Smith, Albert Vernon, Shi, Gang, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Matullo, Giuseppe, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl G P, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Braund, Peter S, Kuznetsova, Tatiana, Stringham, Heather M, Uiterwaal, Cuno S P M, Adeyemo, Adebowale, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, Sundström, Johan, Chang, Yen-Pei C, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Najjar, Samer, Swertz, Morris A, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian N M, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Clarke, Robert, Collins, Rory, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J. 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Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Dept. Atherosclerose, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), Department of Public Health & Primary Care, University of Cambridge [UK] (CAM), Department of cardiology, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, Department of Internal Medicine, University of Pisa - Università di Pisa, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Health Sciences Research Institute, Warwick, Department of Nephrology, University Medical Center, University of Groningen, Institute of Genetic Epidemiology, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, University of Iceland [Reykjavik], Executive Board, Polycystic Kidney Disease Charity (PKD Charity)-Ciliopathy Alliance-International Alliance, Department of Zoology, University of Otago [Dunedin, Nouvelle-Zélande], Institute for Community Medicine, Department Epidemiology of Health Care and Community Health, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, 5 University Street, Centre for Paediatric Epidemiology and Biostatistics, University College of London [London] (UCL), MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, Unit for Molecular Epidemiology, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Epidemiology and Biostatistics, Department of Life Course and Services, National Institute for Health and Welfare [Helsinki], Department of Epidemiology and Public Health, Queen's University [Belfast] (QUB), Interdisciplinary Center of Clinical Research, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, University of Hawai‘i [Mānoa] (UHM), Department of Clinical Chemistry, University of Tampere [Finland]-Tampere University Hospital, Chronic Disease Epidemiology and Prevention Unit, Université Laval [Québec] (ULaval), Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, Interdisciplinary Center for Psychiatric Epidemiology, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Department of Clinical Physiology, Turku University Hospital (TYKS), Brigham and Women's Hospital [Boston], Department of Chronic Disease Prevention, Department of Cardiovascular Sciences [Leicester], University of Leicester, Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Maastricht University [Maastricht], Institute of Social and Preventive Medicine, Lausanne University Hospital, Carl Gustav Carus University Hospital, Recherches en Psychopathologie, nouveaux symptômes et lien social (EA 4050), Université de Poitiers-Université de Brest (UBO)-Université Catholique de l'Ouest (UCO)-Université de Rennes 2 (UR2), Institut de biologie de Lille - UMS 3702 (IBL), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Department of child and adolescent psychiatry, Institute for Medical Informatics, Biometry, and Epidemiology, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Peter MacCallum Cancer Center, Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital [Boston], Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
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Adipose Tissue/metabolism ,Male ,genetic association ,subcutaneous fat ,Transcription, Genetic ,Adipocytes ,Adipogenesis ,Adipose Tissue ,Age Factors ,Body Mass Index ,Continental Population Groups ,Epigenesis, Genetic ,Europe ,Female ,Genome, Human ,Humans ,Insulin ,Insulin Resistance ,Models, Biological ,Neovascularization, Physiologic ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Sex Characteristics ,Waist-Hip Ratio ,Body Fat Distribution ,Genome-Wide Association Study ,Multidisciplinary ,Insulin Resistance/genetics ,Genome-wide association study ,Continental Population Groups/genetics ,genetic analysis ,heritability ,gene cluster ,Science::Biological sciences::Human anatomy and physiology [DRNTU] ,0302 clinical medicine ,high density lipoprotein cholesterol ,Models ,genetics [Insulin Resistance] ,histone modification ,Age Factor ,insulin receptor ,0303 health sciences ,Adipocyte ,Human/genetics ,CARDIOGRAMplusC4D Consortium ,ADIPOGENIC DIFFERENTIATION ,genetic correlation ,body fat ,Continental Population Group ,priority journal ,5 trisphosphate 3 phosphatase ,GEFOS Consortium ,meta analysis (topic) ,Science & Technology - Other Topics ,ddc:500 ,transcription regulation ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Human ,medicine.medical_specialty ,Waist ,phosphatidylinositol 3 ,European ,ta3111 ,genetic regulation ,Article ,developmental biology ,03 medical and health sciences ,MAGIC Investigators ,transcription initiation site ,SDG 3 - Good Health and Well-being ,Genetic ,genomics ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Physiologic ,genetics [Adipogenesis] ,Adipocytes/metabolism ,Europe/ethnology ,Genome, Human/genetics ,Insulin/metabolism ,Neovascularization, Physiologic/genetics ,Obesity/genetics ,Polymorphism, Single Nucleotide/genetics ,Quantitative Trait Loci/genetics ,Transcription, Genetic/genetics ,Genetic/genetics ,Adipogenesi ,Science & Technology ,adiponectin ,[ SDV ] Life Sciences [q-bio] ,vasculotropin ,genetics [Quantitative Trait Loci] ,ta1184 ,Racial Groups ,ta1182 ,gene mapping ,ta3121 ,triacylglycerol blood level ,medicine.disease ,Biological ,major clinical study ,amino acid sequence ,metabolism [Insulin] ,Endocrinology ,metabolism [Adipocytes] ,genetic loci, insulin, body fat ,GLGC ,International Endogene Consortium ,metabolism [Adipose Tissue] ,Body mass index ,HUMAN HEIGHT ,Epigenesis ,LifeLines Cohort Study ,ReproGen Consortium ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,tissue level ,Physiologic/genetics ,[SDV]Life Sciences [q-bio] ,Medizin ,Adipose tissue ,low density lipoprotein cholesterol ,PAGE Consortium ,COMMON SNPS ,angiogenesis ,Waist–hip ratio ,genetics [Obesity] ,MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,single nucleotide polymorphism ,fat ,genetic variability ,molecular biology ,body mass index (BMI) ,ethnology [Europe] ,peroxisome proliferator activated receptor ,2. Zero hunger ,Genetics ,Genome ,Single Nucleotide ,waist circumference ,insulin ,phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase ,triacylglycerol ,vasculotropin, developmental biology ,gene expression ,genome ,numerical model, adipocyte ,adipose tissue ,body fat distribution ,body mass ,female ,gene locus ,gene structure ,hip circumference ,human ,insulin resistance ,lipoprotein blood level ,male ,obesity ,protein protein interaction ,sex difference ,waist hip ratio ,Multidisciplinary Sciences ,genetics [Transcription, Genetic] ,genetics [Polymorphism, Single Nucleotide] ,ADIPOGen Consortium ,genetics [Neovascularization, Physiologic] ,Transcription ,SUSCEPTIBILITY LOCI ,General Science & Technology ,ICBP ,030209 endocrinology & metabolism ,Biology ,adipocyte ,MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,MESENCHYMAL STEM-CELLS ,GENIE Consortium ,SEXUAL-DIMORPHISM ,Insulin resistance ,Internal medicine ,medicine ,genetics [Genome, Human] ,ABDOMINAL ADIPOSITY ,Neovascularization ,030304 developmental biology ,FALSE DISCOVERY ,CKDGen Consortium ,Sex Characteristic ,MuTHER Consortium ,numerical model - Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
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- 2015
9. Adverse effects of a synthetic pyrethroid insecticide cypermethrin on life parameters and antioxidant responses in the marine copepods Paracyclopina nana and Tigriopus japonicus.
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Zhou, Jiaying, Kang, Hye-Min, Lee, Young Hwan, Jeong, Chang-Bum, Park, Jun Chul, and Lee, Jae-Seong
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CYPERMETHRIN , *ANTIOXIDANTS , *COPEPODA , *ENVIRONMENTAL toxicology , *GENE expression - Abstract
Abstract To find the adverse effects induced by cypermethrin, the ecotoxicological model copepods Tigriopus japonicus and Paracyclopina nana were exposed under cypermethrin, which is a widely used type-II pyrethroid insecticide in agriculture. Despite its large-scale application as insecticide in agriculture, little information is available on its adverse effects on aquatic invertebrates. In this study, the toxicity of cypermethrin on two copepods was assessed based on life parameters (growth rate and reproduction), oxidative stress and consequent antioxidant enzymatic activities, and gene expression profiles of antioxidants. The acute toxicity alone demonstrated that P. nana is less tolerant and sensitive against cypermethrin, compared to T. japonicus. However, under chronic exposure, life parameters of both P. nana and T. japonicus were severely affected by cypermethrin. Among antioxidant enzymatic activities, superoxide dismutase (SOD) and glutathione S -transferase (GST), in particular, demonstrated significant increase in response to cypermethrin. Furthermore, temporal-mRNA expression profile showed modulations in antioxidant related genes in response to cypermethrin. Our results provide the underlying toxic mechanism of cypermethrin and the oxidative stress defense mechanism and species-specific tolerance against cypermethrin in two model copepods species. Highlights • The toxicity of cypermethrin was assessed in vivo and in vitro endpoints. • T. japonicus was at a higher risk to cypermethrin compared to P. nana. • P. nana has well-developed detoxification system under chronic exposure. • The underlying toxic mechanism of cypermethrin was revealed in two copepods. • GST and SOD are likely useful biomarkers in response to cypermethrin. [ABSTRACT FROM AUTHOR]
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- 2019
- Full Text
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10. Toxic effects of the wastewater produced by underwater hull cleaning equipment on the copepod Tigriopus japonicus.
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Park, Yeun, Park, Jae Gon, Kang, Hye-Min, Jung, Jee-Hyun, Kim, Moonkoo, and Lee, Kyun-Woo
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POISONS ,CLEANING equipment ,SEWAGE ,GENE expression ,MARINE organisms ,RICE hulls - Abstract
Unmanaged disposal of wastewater produced by underwater hull cleaning equipment (WHCE) is suspected to induce toxic effects to marine organisms because wastewater contains several anti-fouling compounds. To investigate the effects of WHCE on marine copepod, we examined the toxicity on life parameters (e.g. mortality, development, and fecundity) and gene expression changes of Tigriopus japonicus as model organism. Significant mortality and developmental time changes were observed in response to wastewater. No significant differences in fecundity were observed. Transcriptional profiling with differentially expressed genes from WHCE exposed T. japonicus showed WHCE may induce genotoxicity associated genes and pathways. In addition, potentially neurotoxic effects were evident following exposure to WHCE. The findings suggest that wastewater released during hull cleaning should be managed to reduce physiological and molecular deleterious effects in marine organisms. • 41 % of metals on average were reduced in 10 μm filtered hull cleaning wastewater. • The wastewaters caused mortality and retarded development in the copepod. • Genotoxic and neurotoxic effects were induced from unfiltered wastewater exposure. [ABSTRACT FROM AUTHOR]
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- 2023
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11. Heterologous expression of a new manganese-dependent peroxidase gene from Peniophora incarnata KUC8836 and its ability to remove anthracene in Saccharomyces cerevisiae.
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Lee, Aslan Hwanhwi, Kang, Chang-Min, Lee, Young Min, Lee, Hanbyul, Yun, Cheol-Won, Kim, Gyu-Hyeok, and Kim, Jae-Jin
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PEROXIDASE , *PENIOPHORA , *SACCHAROMYCES cerevisiae , *POLYCYCLIC aromatic hydrocarbons , *GENE expression - Abstract
The white rot fungus Peniophora incarnata KUC8836 has received an attention as the greatest degrader of polycyclic aromatic hydrocarbons (PAHs), which are hazardous xenobiotics and recalcitrant pollutants. To characterize the mechanisms through which MnP degrades PAHs, heterologous expression of manganese-dependent peroxidase (MnP) gene pimp1 was performed in Saccharomyces cerevisiae BY4741 via the pGEM-T Easy vector, resulting in the recombinant plasmid pESC-URA/ pimp1 containing the MnP signal peptide. MnP was significantly secreted into the culture medium with galactose as an active protein with higher efficiency (3.58 U mL −1 ) by transformants than by the wild-type S. cerevisiae . The recombinant MnP protein was shown to have a molecular weight of 44 kDa by western blotting analysis. With regard to enhancing the bioremediation of PAHs in the environment, anthracene was effectively degraded by the MnP encoded by pimp1, with a degradation rate of 6.5% when Tween 80 was added. In addition, the MnP activity of the transformant exhibited the highest efficiency (2.49 U mL −1 ) during the degradation. These results show that pimp1 might be useful for biodegradation and gene expression technologies at a transcriptional level, and genetic approaches can be improved by incorporating the highly ligninolytic gene pimp1 and the fungus P. incarnata KUC8836. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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12. Comparison of Stemness and Gene Expression between Gingiva and Dental Follicles in Children.
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Kang, Chung-Min, Kim, Seong-Oh, Jeon, Mijeong, Choi, Hyung-Jun, Jung, Han-Sung, and Lee, Jae-Ho
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GENE expression , *DENTAL follicle , *GINGIVA , *ANTISENSE DNA , *CHEMOTAXIS , *REVERSE transcriptase polymerase chain reaction - Abstract
The aim of this study was to compare the differential gene expression and stemness in the human gingiva and dental follicles (DFs) according to their biological characteristics. Gingiva (n=9) and DFs (n=9) were collected from 18 children. Comparative gene expression profiles were collected using cDNA microarray. The expression of development, chemotaxis, mesenchymal stem cells (MSCs), and induced pluripotent stem cells (iPSs) related genes was assessed by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Histological analysis was performed using hematoxylin-eosin and immunohistochemical staining. Gingiva had greater expression of genes related to keratinization, ectodermal development, and chemotaxis whereas DFs exhibited higher expression levels of genes related to tooth and embryo development. qRT-PCR analysis showed that the expression levels of iPSc factors including SOX2, KLF4, and C-MYC were 58.5±26.3, 12.4±3.5, and 12.2±1.9 times higher in gingiva and VCAM1 (CD146) and ALCAM (CD166) were 33.5±6.9 and 4.3±0.8 times higher in DFs. Genes related to MSCs markers including CD13, CD34, CD73, CD90, and CD105 were expressed at higher levels in DFs. The results of qRT-PCR and IHC staining supported the microarray analysis results. Interestingly, this study demonstrated transcription factors of iPS cells were expressed at higher levels in the gingiva. Given the minimal surgical discomfort and simple accessibility, gingiva is a good candidate stem cell source in regenerative dentistry. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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13. Genetic Comparison of Stemness of Human Umbilical Cord and Dental Pulp.
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Kang, Chung-Min, Kim, Hyunok, Song, Je Seon, Choi, Byung-Jai, Kim, Seong-Oh, Jung, Han-Sung, Moon, Seok-Jun, and Choi, Hyung-Jun
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DENTAL pulp , *UMBILICAL cord , *GENE expression , *MESENCHYMAL stem cells , *NEWBORN infant physiology , *MICROARRAY technology , *ANTISENSE DNA , *PHYSIOLOGY - Abstract
This study focuses on gene expression patterns and functions in human umbilical cord (UC) and dental pulp (DP) containing mesenchymal stem cells (MSCs). DP tissues were collected from 25 permanent premolars. UC tissue samples were obtained from three newborns. Comparative gene profiles were obtained using cDNA microarray analysis and the expression of tooth development-associated and MSC-related genes was assessed by the quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). Genes related to cell proliferation, angiogenesis, and immune responses were expressed at higher levels in UC, whereas genes related to growth factor and receptor activity and signal transduction were more highly expressed in DP. Although UC and DP tissues exhibited similar expression of surface markers for MSCs, UC showed higher expression of CD29, CD34, CD44, CD73, CD105, CD146, and CD166. qRT-PCR analysis showed that CD146, CD166, and MYC were expressed 18.3, 8.24, and 1.63 times more highly in UC, whereas the expression of CD34 was 2.15 times higher in DP. Immunohistochemical staining revealed significant differences in the expression of genes (DSPP, DMP1, and CALB1) related to odontogenesis and angiogenesis in DP. DP and UC tissue showed similar gene expression, with the usual MSC markers, while they clearly diverged in their differentiation capacity. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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14. Insulin Protects Cardiac Myocytes from Doxorubicin Toxicity by Sp1-Mediated Transactivation of Survivin.
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Lee, Beom Seob, Oh, Jaewon, Kang, Sung Ku, Park, Sungha, Lee, Sang-Hak, Choi, Donghoon, Chung, Ji Hyung, Chung, Youn Wook, and Kang, Seok-Min
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INSULIN ,CELL death ,DOXORUBICIN ,CYTOCHROME c ,MUSCLE cells ,GENE expression - Abstract
Insulin inhibits ischemia/reperfusion-induced myocardial apoptosis through the PI3K/Akt/mTOR pathway. Survivin is a key regulator of anti-apoptosis against doxorubicin-induced cardiotoxicity. Insulin increases survivin expression in cardiac myocytes to mediate cytoprotection. However, the mechanism by which survivin mediates the protective effect of insulin against doxorubicin-associated injury remains to be determined. In this study, we demonstrated that pretreatment of H9c2 cardiac myocytes with insulin resulted in a significant decrease in doxorubicin-induced apoptotic cell death by reducing cytochrome c release and caspase-3 activation. Doxorubicin-induced reduction of survivin mRNA and protein levels was also significantly perturbed by insulin pretreatment. Reducing survivin expression with survivin siRNA abrogated insulin-mediated inhibition of caspase-3 activation, suggesting that insulin signals to survivin inhibited caspase-3 activation. Interestingly, pretreatment of H9c2 cells with insulin or MG132, a proteasome inhibitor, inhibited doxorubicin-induced degradation of the transcription factor Sp1. ChIP assay showed that pretreatment with insulin inhibited doxorubicin-stimulated Sp1 dissociation from the survivin promoter. Finally using pharmacological inhibitors of the PI3K pathway, we showed that insulin-mediated activation of the PI3K/Akt/mTORC1 pathway prevented doxorubicin-induced proteasome-mediated degradation of Sp1. Taken together, insulin pretreatment confers a protective effect against doxorubicin-induced cardiotoxicity by promoting Sp1-mediated transactivation of survivin to inhibit apoptosis. Our study is the first to define a role for survivin in cellular protection by insulin against doxorubicin-associated injury and show that Sp1 is a critical factor in the transcriptional regulation of survivin. [ABSTRACT FROM AUTHOR]
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- 2015
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15. Overexpression of the putative extracytoplasmic function sigma (σ) factor FujE enhances FK506 production in Streptomyces sp. strain KCCM 11116P.
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Lee, Sung-Kwon, Yang, Seung Hwan, Kang, Choong-Min, Mo, SangJoon, and Suh, Joo-Won
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CYTOPLASM ,STREPTOMYCES ,BIOSYNTHESIS ,GENE expression ,GENETIC transcription ,POLYMERASE chain reaction ,DELETION mutation - Abstract
Copyright of Canadian Journal of Microbiology is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2014
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16. Increased expression of Dec-205, Bcl-10, Tim-3, and Trem-1 mRNA in chronic otitis media with cholesteatoma.
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Kim, Myung Gu, Park, Dong Choon, Oh, In-Hwan, Kim, Young Il, Choi, Sun A, Jung, Su Young, Kang, Ho Min, and Yeo, Seung Geun
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CHOLESTEATOMA ,GENE expression ,OTITIS media ,RESEARCH funding ,STATISTICS ,T-test (Statistics) ,U-statistics ,DATA analysis ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Conclusion: The increased expression of Dec-205, Bcl-10, Tim-3, and Trem-1 mRNAs indicates that these pattern recognition receptors are involved in the pathogenesis of cholesteatoma. Objective: Changes in expression of pattern recognition receptors may be associated with immune responses in patients with cholesteatoma. We therefore assessed the levels of expression of Dec-205, Bcl-10, Tim-3, and Trem-1 mRNAs associated with innate immune responses in patients with cholesteatoma. Methods: Cholesteatoma specimens were collected from 23 patients diagnosed with acquired cholesteatoma from August 2010 to July 2012. The posterior auricular skin of each patient was used as control. The levels of expression of Dec-205, Bcl-10, Tim-3, and Trem-1 mRNA were assessed quantitatively using real-time RT-PCR and correlated with sex, hearing level, the presence of bacteria, and the need for repeat surgery. Results: The levels of expression of Dec-205, Bcl-10, Tim-3, and Trem-1 mRNAs were significantly higher in cholesteatoma than in control skin samples ( p < 0.05 each). However, mRNA abundance was not associated with patient sex, hearing level, presence of bacteria or history of reoperation ( p > 0.05 each). [ABSTRACT FROM AUTHOR]
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- 2014
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17. Identification of microRNA-Size, Small RNAs in Escherichia coli.
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Kang, Sung-Min, Choi, Ji-Woong, Lee, Youngkyun, Hong, Su-Hyung, and Lee, Heon-Jin
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MICRORNA , *ESCHERICHIA coli , *NON-coding RNA , *GENE expression , *BACTERIAL RNA , *EUKARYOTES , *BIOINFORMATICS - Abstract
Noncoding small regulatory RNA molecules control gene expression and microRNAs provide one of the best examples in eukaryotes. However, bacterial RNAs of comparable size to eukaryotic microRNAs have received little attention. Here, we demonstrate the existence of microRNA-size, small RNAs (msRNAs) in the model bacterium Escherichia coli. We examined the small RNAs in E. coli using a deep sequencing approach, and analyzed 33.2 million small RNA clone reads after size fractionation. Bioinformatic analysis of the whole set revealed more than 400 individual msRNA species. The cellular contents of selected highly expressed msRNAs were verified by quantitative RT-PCR and northern blotting. Although, the functional significance of these RNAs is unclear, their high abundance suggests that they may play specialized roles in bacteria, analogous to miRNAs in eukaryotes. [ABSTRACT FROM AUTHOR]
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- 2013
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18. MicroRNA-365 regulates NKX2-1, a key mediator of lung cancer.
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Kang, Sung-Min, Lee, Heon-Jin, and Cho, Je-Yoel
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GENETIC regulation , *MICRORNA , *LUNG cancer & genetics , *CARCINOGENESIS , *KILLER cells , *TUMOR suppressor genes , *CELL proliferation , *GENE expression - Abstract
Highlights: [•] We found microRNA-365 is an important regulator of NKX2-1 in lung oncogenesis. [•] miRNA-365 expression levels were low, NKX2-1 high, in human lung cancers. [•] We identified the miR-365 response element in the NKX3-1 3’UTR. [•] miR-365 decreased NKX2-1 and reduced proliferation of lung cancer cells. [ABSTRACT FROM AUTHOR]
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- 2013
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19. Nitrile-inducible gene expression in mycobacteria.
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Pandey, Amit K., Raman, Sahadevan, Proff, Rose, Joshi, Swati, Kang, Choong-Min, Rubin, Eric J., Husson, Robert N., and Sassetti, Christopher M.
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NITRILES ,GENE expression ,BACTERIAL physiology ,MYCOBACTERIAL diseases - Abstract
Summary: The ability to ectopically control gene expression is a fundamental tool for the study of bacterial physiology and pathogenesis. While many efficient inducible expression systems are available for Gram-negative bacteria, few are useful in phylogenetically distant organisms, such as mycobacteria. We have adapted a highly-inducible regulon of Rhodococcus rhodochrous to artificially regulate gene expression in both rapidly-growing environmental mycobacteria and slow-growing pathogens, such as Mycobacterium tuberculosis. We demonstrate that this artificial regulatory circuit behaves as a bistable switch, which can be manipulated regardless of growth phase in vitro, and during intracellular growth in macrophages. High-level overexpression is also possible, facilitating biochemical and structural studies of mycobacterial proteins produced in their native host. [Copyright &y& Elsevier]
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- 2009
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20. NGFI-A Binding Protein 2 Promotes EGF-Dependent HNSCC Cell Invasion.
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Kim, Jinkyung, Kang, Sung-Min, Oh, Su Young, Lee, Heon-Jin, Lee, Inhan, Hwang, Jae-Chan, and Hong, Su-Hyung
- Subjects
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CANCER invasiveness , *CARRIER proteins , *CLINICAL chemistry , *ENZYMES , *EPIDERMAL growth factor , *GENE expression , *METASTASIS , *HEAD & neck cancer , *SQUAMOUS cell carcinoma , *DISEASE progression , *PRECIPITIN tests , *IN vitro studies , *CHEMICAL inhibitors - Abstract
NGFI-A binding protein 2 (NAB2) represses the transcriptional activation of early growth response protein-1 (EGR1), a tumor-suppressor. However, Epidermal Growth Factor (EGF) promotes tumor progression even with significant EGR1 upregulation. The molecular mechanism through which NAB2 is involved in cancer is largely unknown. Therefore, we evaluated how the NAB2-mediated suppression of EGR1 facilitates head and neck squamous cell carcinoma (HNSCC) cancer progression, in association with Sp1, which competes with EGR1 as a transcriptional regulator. The effect of NAB2 on EGR1/SP1 binding to the consensus promoter sequences of MMP2 and MMP9 was evaluated by chromatin immunoprecipitation (ChIP) and promoter luciferase assay. The correlation between EGR1-NAB2 expression and metastatic status was investigated using The Cancer Genome Atlas (TCGA) for HNSCC patients. Our data showed that NAB2 knockdown in FaDu and YD-10B HNSCC cells alleviated EGF-dependent increase of Matrigel invasion. In addition, NAB2 upregulation in EGF-treated FaDu cell diminishes EGR1 transcriptional activity, resulting in the upregulation of Sp1-dependent tumor-promoting genes. TCGA data analysis of 483 HNSCC tumors showed that higher levels of both EGR1 and NAB2 mRNA were significantly associated with metastasis, corresponding to in vitro results. Our data suggest that NAB2 upregulation facilitates EGF-mediated cancer cell invasion through the transactivation of Sp1-dependent tumor-promoting genes. These results provide insight into the paradoxical roles of EGF-EGR1 in cancer progression. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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21. NAB 2-Expressing Cancer-Associated Fibroblast Promotes HNSCC Progression.
- Author
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Choi, So-Young, Oh, Su Young, Kang, Soo Hyun, Kang, Sung-Min, Kim, Jinkyung, Lee, Heon-Jin, Kwon, Tae-Geon, Kim, Jin-Wook, and Hong, Su-Hyung
- Subjects
ANIMAL experimentation ,BIOLOGICAL assay ,CANCER ,CARRIER proteins ,CELL lines ,FIBROBLASTS ,GENE expression ,IMMUNOHISTOCHEMISTRY ,LYMPH nodes ,MESSENGER RNA ,METASTASIS ,MICE ,HEAD & neck cancer ,SQUAMOUS cell carcinoma ,XENOGRAFTS ,DISEASE progression ,IN vivo studies - Abstract
Cancer-associated fibroblast (CAF)-specific proteins serve as both prognostic biomarkers and targets for anticancer drugs. In this study, we investigated the role of NGFI-A-binding protein (NAB)2 derived from CAFs in the progression of head and neck squamous cell carcinoma (HNSCC). Patient-derived HNSCC and paired metastatic lymph node tissues were examined for NAB2 expression by immunohistochemistry. Primary CAF cultures were established from HNSCC patient tissue, with paired non-tumor fibroblasts (NTFs) serving as a control. CAF or NTF was used to evaluate the effect of NAB2 on HNSCC progression using FaDu cell spheroids and an in vivo mouse xenograft model. NAB2 was detected in interstitial CAFs in primary and metastatic lymph node tissues of HNSCC patients. NAB2 mRNA and protein levels were higher in CAFs as compared to paired NTFs. Conditioned medium (CM) of NAB2-overexpressing CAFs increased the invasion of FaDu spheroids in the Matrigel invasion assay as compared to CM of NTF. Co-injection of NAB2-overexpressing CAFs with FaDu spheroids into mice enhanced the growth of tumors. These data suggest that NAB2-overexpressing CAFs promotes HNSCC progression and is a potential therapeutic target for preventing HNSCC metastasis. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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22. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer
- Author
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Bien, Stephanie A, Su, Yu-Ru, Conti, David V, Harrison, Tabitha A, Qu, Conghui, Guo, Xingyi, Lu, Yingchang, Albanes, Demetrius, Auer, Paul L, Banbury, Barbara L, Berndt, Sonja I, Bézieau, Stéphane, Brenner, Hermann, Buchanan, Daniel D, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Chan, Andrew T, Chang-Claude, Jenny, Chen, Sai, Connolly, Charles M, Easton, Douglas F, Feskens, Edith JM, Gallinger, Steven, Giles, Graham G, Gunter, Marc J, Hampe, Jochen, Huyghe, Jeroen R, Hoffmeister, Michael, Hudson, Thomas J, Jacobs, Eric J, Jenkins, Mark A, Kampman, Ellen, Kang, Hyun Min, Kühn, Tilman, Küry, Sébastien, Lejbkowicz, Flavio, Le Marchand, Loic, Milne, Roger L, Li, Li, Li, Christopher I, Lindblom, Annika, Lindor, Noralane M, Martín, Vicente, McNeil, Caroline E, Melas, Marilena, Moreno, Victor, Newcomb, Polly A, Offit, Kenneth, Pharaoh, Paul DP, Potter, John D, Qu, Chenxu, Riboli, Elio, Rennert, Gad, Sala, Núria, Schafmayer, Clemens, Scacheri, Peter C, Schmit, Stephanie L, Severi, Gianluca, Slattery, Martha L, Smith, Joshua D, Trichopoulou, Antonia, Tumino, Rosario, Ulrich, Cornelia M, Van Duijnhoven, Fränzel JB, Van Guelpen, Bethany, Weinstein, Stephanie J, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Abecasis, Goncalo R, Casey, Graham, Nickerson, Deborah A, Gruber, Stephen B, Hsu, Li, Zheng, Wei, and Peters, Ulrike
- Subjects
Gene Expression Regulation, Neoplastic ,Gene Frequency ,Predictive Value of Tests ,Risk Factors ,Case-Control Studies ,Gene Expression ,Humans ,Genetic Predisposition to Disease ,Colorectal Neoplasms ,Prognosis ,Polymorphism, Single Nucleotide ,3. Good health ,Genome-Wide Association Study - Abstract
Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10- 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10- 4, replication P = 6.7 × 10- 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight into, risk loci.
23. Adverse effects, expression of defense-related genes, and oxidative stress-induced MAPK pathway in the benzo[α]pyrene-exposed rotifer Brachionus rotundiformis.
- Author
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Han, Jeonghoon, Park, Jun Chul, Kang, Hye-Min, Byeon, Eunjin, Yoon, Deok-Seo, Lee, Min-Chul, Sayed, Alaa El-Din H., Hwang, Un-Ki, and Lee, Jae-Seong
- Subjects
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BRACHIONUS , *ATP-binding cassette transporters , *MITOGEN-activated protein kinases , *GENE expression , *WESTERN immunoblotting , *LIFE spans - Abstract
Highlights • Fecundity and lifespan were decreased significantly (P < 0.05) in B[α]P-exposed B. rotundiformis. • Total intracellular ROS level and GST activity were significantly increased (P < 0.05). • Transcriptional regulation of GST s and ABC transporters were significantly upregulated and downregulated (P < 0.05). • B[α]P-exposed B. rotundiformis showed the increased levels of the p-JNK and p-p38. Abstract To examine the adverse effects of the benzo[α]pyrene (B[α]P), the monogonont rotifer Brachionus rotundiformis was exposed to various concentration of B[α]P (0 [control], 1, 10, and 100 μg/L) and measured life cycle parameters (e.g., mortality, fecundity [cumulated number of offspring], and lifespan), reactive oxygen species (ROS), antioxidant enzymatic activity of glutathione S -transferase (GST). In addition, defense-related transcripts (e.g., glutathione S -transferases [GSTs], ATP binding cassette [ABCs] transporters) and Western blot analysis of mitogen-activated protein kinase (MAPK) signaling pathway were investigated in B[α]P-exposed rotifer. In this study, the total intracellular ROS level and GST activity were significantly increased (P < 0.05), while fecundity and lifespan were also significantly (P < 0.05) reduced in a concentration dependent manner in B[α]P-exposed B. rotundiformis. In addition, transcriptional regulation of GST s and ABC transporters were significantly upregulated and downregulated (P < 0.05), respectively, suggesting that B[α]P can induce oxidative stress leading to induction of antioxidant system and detoxification mechanism. In addition to detoxification-related genes, B[α]P-exposed B. rotundiformis showed the increased levels of the p-JNK and p-p38, suggesting that B[α]P can activate MAPK signaling pathway in B. rotundiformis. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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24. Mixed-model coexpression: calculating gene coexpression while accounting for expression heterogeneity.
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Furlotte, Nicholas A., Kang, Hyun Min, Ye, Chun, and Eskin, Eleazar
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GENE expression , *HUMAN genetics , *YEAST , *STATISTICAL correlation , *DATA analysis , *PROGRAMMING languages , *BIOINFORMATICS - Abstract
Motivation: The analysis of gene coexpression is at the core of many types of genetic analysis. The coexpression between two genes can be calculated by using a traditional Pearson's correlation coefficient. However, unobserved confounding effects may cause inflation of the Pearson's correlation so that uncorrelated genes appear correlated. Many general methods have been suggested, which aim to remove the effects of confounding from gene expression data. However, the residual confounding which is not accounted for by these generic correction procedures has the potential to induce correlation between genes. Therefore, a method that specifically aims to calculate gene coexpression between gene expression arrays, while accounting for confounding effects, is desirable.Results: In this article, we present a statistical model for calculating gene coexpression called mixed model coexpression (MMC), which models coexpression within a mixed model framework. Confounding effects are expected to be encoded in the matrix representing the correlation between arrays, the inter-sample correlation matrix. By conditioning on the information in the inter-sample correlation matrix, MMC is able to produce gene coexpressions that are not influenced by global confounding effects and thus significantly reduce the number of spurious coexpressions observed. We applied MMC to both human and yeast datasets and show it is better able to effectively prioritize strong coexpressions when compared to a traditional Pearson's correlation and a Pearson's correlation applied to data corrected with surrogate variable analysis (SVA).Availability: The method is implemented in the R programming language and may be found at http://genetics.cs.ucla.edu/mmc.Contact: nfurlott@cs.ucla.edu; eeskin@cs.ucla.edu [ABSTRACT FROM AUTHOR]
- Published
- 2011
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25. Nine co-localized cytochrome P450 genes of the CYP2N, CYP2AD, and CYP2P gene families in the mangrove killifish Kryptolebias marmoratus genome: Identification and expression in response to B[α]P, BPA, OP, and NP.
- Author
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Puthumana, Jayesh, Kim, Bo-Mi, Jeong, Chang-Bum, Kim, Duck-Hyun, Kang, Hye-Min, Jung, Jee-Hyun, Kim, Il-Chan, Hwang, Un-Ki, and Lee, Jae-Seong
- Subjects
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CYTOCHROME P-450 , *MANGROVE rivulus , *GENE expression , *ENVIRONMENTAL toxicology , *XENOBIOTICS , *ANIMAL models in research - Abstract
The CYP2 genes are the largest and most diverse cytochrome P450 (CYP) subfamily in vertebrates. We have identified nine co-localized CYP2 genes (∼55 kb) in a new cluster in the genome of the highly resilient ecotoxicological fish model Kryptolebias marmoratus . Molecular characterization, temporal and tissue-specific expression pattern, and response to xenobiotics of these genes were examined. The CYP2 gene clusters were characterized and designated CYP2N22 - 23 , CYP2AD12 , and CYP2P16-20 . Gene synteny analysis confirmed that the cluster in K. marmoratus is similar to that found in other teleost fishes, including zebrafish. A gene duplication event with diverged catalytic function was observed in CYP2AD12 . Moreover, a high level of divergence in expression was observed among the co-localized genes. Phylogeny of the cluster suggested an orthologous relationship with similar genes in zebrafish and Japanese medaka. Gene expression analysis showed that CYP2P19 and CYP2N20 were consecutively expressed throughout embryonic development, whereas CYP2P18 was expressed in all adult tissues, suggesting that members of each CYP2 gene family have different physiological roles even though they are located in the same cluster. Among endocrine-disrupting chemicals (EDCs), benzo[α]pyrene (B[α]P) induced expression of CYP2N23 , bisphenol A (BPA) induced CYP2P18 and CYP2P19 , and 4-octylphenol (OP) induced CYP2AD12 , but there was no significant response to 4-nonylphenol (NP), implying differential catalytic roles of the enzyme. In this paper, we identify and characterize a CYP2 gene cluster in the mangrove killifish K. marmoratus with differing catalytic roles toward EDCs. Our findings provide insights on the roles of nine co-localized CYP2 genes and their catalytic functions for better understanding of chemical-biological interactions in fish. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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26. Traffic-derived particulate matter exposure and histone H3 modification: A repeated measures study.
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Zheng, Yinan, Sanchez-Guerra, Marco, Zhang, Zhou, Joyce, Brian T., Zhong, Jia, Kresovich, Jacob K., Liu, Lei, Zhang, Wei, Gao, Tao, Chang, Dou, Osorio-Yanez, Citlalli, Carmona, Juan Jose, Wang, Sheng, McCracken, John P., Zhang, Xiao, Chervona, Yana, Díaz, Anaite, Bertazzi, Pier A., Koutrakis, Petros, and Kang, Choong-Min
- Subjects
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ATOMS , *ATOMIC physics , *PARTICULATE matter , *HISTONE methylation , *GENE expression - Abstract
Background Airborne particulate matter (PM) may induce epigenetic changes that potentially lead to chronic diseases. Histone modifications regulate gene expression by influencing chromatin structure that can change gene expression status. We evaluated whether traffic-derived PM exposure is associated with four types of environmentally inducible global histone H3 modifications. Methods The Beijing Truck Driver Air Pollution Study included 60 truck drivers and 60 office workers examined twice, 1–2 weeks apart, for ambient PM 10 (both day-of and 14-day average exposures), personal PM 2.5 , black carbon (BC), and elemental components ( potassium, sulfur, iron, silicon, aluminum, zinc, calcium, and titanium). For both PM 10 measures, we obtained hourly ambient PM 10 data for the study period from the Beijing Municipal Environmental Bureau's 27 representatively distributed monitoring stations. We then calculated a 24 h average for each examination day and a moving average of ambient PM 10 measured in the 14 days prior to each examination. Examinations measured global levels of H3 lysine 9 acetylation (H3K9ac), H3 lysine 9 tri-methylation (H3K9me3), H3 lysine 27 tri-methylation (H3K27me3), and H3 lysine 36 tri-methylation (H3K36me3) in blood leukocytes collected after work. We used adjusted linear mixed-effect models to examine percent changes in histone modifications per each μg/m 3 increase in PM exposure. Results In all participants each μg/m 3 increase in 14-day average ambient PM 10 exposure was associated with lower H3K27me3 (β=−1.1%, 95% CI: −1.6, −0.6) and H3K36me3 levels (β=−0.8%, 95% CI: −1.4, −0.1). Occupation-stratified analyses showed associations between BC and both H3K9ac and H3K36me3 that were stronger in office workers (β=4.6%, 95% CI: 0.9, 8.4; and β=4.1%, 95% CI: 1.3; 7.0 respectively) than in truck drivers (β=0.1%, 95% CI: −1.3, 1.5; and β=0.9%, 95% CI: −0.9, 2.7, respectively; both p interaction <0.05). Sex-stratified analyses showed associations between examination-day PM 10 and H3K9ac, and between BC and H3K9me3, were stronger in women (β=10.7%, 95% CI: 5.4, 16.2; and β=7.5%, 95% CI: 1.2, 14.2, respectively) than in men (β=1.4%, 95% CI: −0.9, 3.7; and β=0.9%, 95% CI: −0.9, 2.7, respectively; both p interaction <0.05). We observed no associations between personal PM 2.5 or elemental components and histone modifications. Conclusions Our results suggest a possible role of global histone H3 modifications in effects of traffic-derived PM exposures, particularly BC exposure. Future studies should assess the roles of these modifications in human diseases and as potential mediators of air pollution-induced disease, in particular BC exposure. [ABSTRACT FROM AUTHOR]
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- 2017
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27. Rck1 up-regulates Hog1 activity by down-regulating Slt2 activity in Saccharomyces cerevisiae.
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Chang, Miwha, Kang, Hyun-Jun, Baek, In-Joon, Kang, Chang-Min, Park, Yong-Sung, and Yun, Cheol-Won
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MITOGEN-activated protein kinases , *GENETIC regulation , *SACCHAROMYCES cerevisiae , *PHOSPHORYLATION , *GENE expression , *SERINE/THREONINE kinases - Abstract
Highlights: [•] The expression of KDX1 was down-regulated when RCK1 was over-expressed. [•] Phosphorylated forms of Slt2 and Mkk2 were down-regulated by RCK1. [•] The phosphorylated form of Hog1 was up-regulated by RCK1 over-expression. [Copyright &y& Elsevier]
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- 2013
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28. Kdx1 regulates RCK1 gene expression by interacting with Rlm1 in Saccharomyces cerevisiae.
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Chang, Miwha, Kang, Hyun-Jun, Baek, In-Joon, Kang, Chang-Min, Park, Yong-Sung, and Yun, Cheol-Won
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GENE expression , *SACCHAROMYCES cerevisiae , *PHYSIOLOGICAL stress , *PROTEIN kinases , *CONGENITAL disorders , *PROTEIN-protein interactions - Abstract
Highlights: [•] Overexpression of KDX1 induced the expression of RCK1. [•] Overexpression of RCK1 rescued the growth defect caused by zymolyase stress. [•] Kdx1 interacts with Rlm1 to activate RCK1 gene expression in response to stress. [ABSTRACT FROM AUTHOR]
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- 2013
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29. Characterization of a chromosomal toxin–antitoxin, Rv1102c–Rv1103c system in Mycobacterium tuberculosis
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Han, Jeong-Sun, Lee, Jae Jin, Anandan, Tripti, Zeng, Minghui, Sripathi, Srinivas, Jahng, Wan Jin, Lee, Sang Hee, Suh, Joo-Won, and Kang, Choong-Min
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ANTITOXINS , *MYCOBACTERIUM tuberculosis , *CHROMOSOMES , *GENOMES , *ESCHERICHIA coli , *MESSENGER RNA , *GENE expression , *BIOLOGICAL assay - Abstract
Abstract: Toxin–antitoxin systems, ubiquitous in prokaryotic genomes, have been proposed to play an important role in several stress responses. While Mycobacterium tuberculosis contains more than 80 putative TA loci, the roles they play in this pathogen are yet to be studied. Here, we characterize a chromosomal Rv1102c–Rv1103c TA system in M. tuberculosis. We found that the Rv1102c toxin interacts with the Rv1103c antitoxin in a pull-down assay and the yeast two-hybrid system. Rv1102c cleaved the era mRNA in Escherichia coli, and cleavage was inhibited by co-expression of Rv1103c. Heterologous expression of Rv1102c led to growth arrest in E. coli, which was fully recovered only when Rv1103c was co-expressed in cis with Rv1102c, suggesting that the production and assembly of Rv1102c and Rv1103c are tightly linked. Our additional results indicate that translational coupling of the Rv1102c and Rv1103c genes is important for Rv1102c–Rv1103c binding. Finally, we discovered that the expression of Rv1102c induced growth arrest and increased the level of persister cells in Mycobacterium smegmatis. These results suggest that the Rv1102c–Rv1103c TA system could play a role in M. tuberculosis pathogenesis via generating bacilli that survive in the face of multidrug therapy. [ABSTRACT FROM AUTHOR]
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- 2010
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30. IL-23 induces receptor activator of NF-κB ligand expression in fibroblast-like synoviocytes via STAT3 and NF-κB signal pathways
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Li, Xia, Kim, Kyoung-Woon, Cho, Mi-La, Ju, Ji-Hyeon, Kang, Chang-Min, Oh, Hye-Joa, Min, Jun-Ki, Lee, Sang-Heon, Park, Sung-Hwan, and Kim, Ho-Youn
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INTERLEUKINS , *T cell receptors , *LIGANDS (Biochemistry) , *GENE expression , *ARTHRITIS , *POLYMERASE chain reaction , *GENE amplification , *NF-kappa B , *CELLULAR signal transduction - Abstract
Abstract: Interleukin (IL)-23 stimulates T lymphocytes to produce inflammatory molecules, which can cause inflammatory arthritis. This study was undertaken to explore the role of IL-23 in stimulating the expression of the receptor activator of the nuclear factor kappa B (NF-κB) ligand (RANKL) and osteoclastogenic activity in human fibroblast-like synoviocytes (FLS). These cells were separated from the synovium of patients with rheumatoid arthritis (RA-FLS) and osteoarthritis (OA-FLS) and stimulated with IL-23. RANKL expression was measured by real-time polymerase chain reaction (PCR) amplification and immunostaining. Osteoclast precursor cells were cocultured with IL-23-stimulated RA-FLS and OA-FLS and subsequently stained for tartrate-resistant acid phosphatase (TRAP) activity. IL-23 upregulated RANKL expression in RA-FLS. The expression of RANKL mRNA and protein was blocked completely by inhibitors of NF-κB (parthenolide) or of the JAK II–STAT3 pathway (AG490), showing that the RANKL expression pathway is mediated by NF-κB and STAT3. TRAP-positive osteoclastogenesis was enhanced in IL-23-stimulated FLS. RA-FLS were more responsive to IL-23 in terms of their RANKL expression than OA-FLS or normal FLS. Thus, IL-23 appears to induce joint inflammation and bone destruction by stimulating RANKL expression in RA-FLS. These interactions between IL-23 and FLS indicate possible new therapeutic approaches for treating bone destruction in patients with inflammatory diseases. [Copyright &y& Elsevier]
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- 2010
- Full Text
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