189 results on '"Gu, Yu-Mei"'
Search Results
2. Vitamin K Dependent Protection of Renal Function in Multi-ethnic Population Studies
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Wei, Fang-Fei, Drummen, Nadja E.A., Schutte, Aletta E., Thijs, Lutgarde, Jacobs, Lotte, Petit, Thibaut, Yang, Wen-Yi, Smith, Wayne, Zhang, Zhen-Yu, Gu, Yu-Mei, Kuznetsova, Tatiana, Verhamme, Peter, Allegaert, Karel, Schutte, Rudolph, Lerut, Evelyne, Evenepoel, Pieter, Vermeer, Cees, and Staessen, Jan A.
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- 2016
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3. Incidence of nephrolithiasis in relation to environmental exposure to lead and cadmium in a population study
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Hara, Azusa, Yang, Wen-Yi, Petit, Thibault, Zhang, Zhen-Yu, Gu, Yu-Mei, Wei, Fang-Fei, Jacobs, Lotte, Odili, Augustine N., Thijs, Lutgarde, Nawrot, Tim S., and Staessen, Jan A.
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- 2016
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4. Central vs. peripheral blood pressure components as determinants of retinal microvessel diameters
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Gu, Yu-Mei, Liu, Yan-Ping, Thijs, Lutgarde, Kuznetsova, Tatiana, Wei, Fang-Fei, Struijker-Boudier, Harry A.J., Verhamme, Peter, and Staessen, Jan A.
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- 2014
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5. Retinal microvascular diameter, a hypertension-related trait, in ECG-gated vs. non-gated images analyzed by IVAN and SIVA
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Wei, Fang-Fei, Zhang, Zhen-Yu, Petit, Thibault, Cauwenberghs, Nicholas, Gu, Yu-Mei, Thijs, Lutgarde, Raaijmakers, Anke, Jacobs, Lotte, Yang, Wen-Yi, Allegaert, Karel, Kuznetsova, Tatiana, Verhamme, Peter, Struijker-Boudier, Harry A J, Li, Yan, Asayama, Kei, and Staessen, Jan A
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- 2016
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6. Renal glomerular dysfunction in relation to retinal arteriolar narrowing and high pulse pressure in seniors
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Gu, Yu-Mei, Petit, Thibault, Wei, Fang-Fei, Thijs, Lutgarde, Jacobs, Lotte, Zhang, Zhen-Yu, Yang, Wen-Yi, Cauwenberghs, Nicholas, Knez, Judita, Struijker-Boudier, Harry A J, Kuznetsova, Tatiana, Verhamme, Peter, and Staessen, Jan A
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- 2016
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7. Does blood pressure variability contribute to risk stratification? Methodological issues and a review of outcome studies based on home blood pressure
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Asayama, Kei, Wei, Fang-Fei, Liu, Yan-Ping, Hara, Azusa, Gu, Yu-Mei, Schutte, Rudolph, Li, Yan, Thijs, Lutgarde, and Staessen, Jan A
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- 2015
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8. Urinary peptidomic profiles to address age-related disabilities: a prospective population study
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Martens, Dries S, primary, Thijs, Lutgarde, additional, Latosinska, Agnieszka, additional, Trenson, Sander, additional, Siwy, Justyna, additional, Zhang, Zhen-Yu, additional, Wang, Congrong, additional, Beige, Joachim, additional, Vlahou, Antonia, additional, Janssens, Stefan, additional, Mischak, Harald, additional, Nawrot, Tim S, additional, Staessen, Jan A, additional, Asayama, Kei, additional, Bochud, Murielle, additional, Boggia, José, additional, Brguljan-Hitij, Jana, additional, Feng, Ying-Mei, additional, Gu, Yu-Mei, additional, Hara, Azusa, additional, Huang, Qi-Fang, additional, Jin, Yu, additional, Seidlerová, Jitka, additional, Liu, Yan-Ping, additional, Melgarejo, Jesus, additional, Moliterno, Paula, additional, Odili, Augustine N, additional, Petit, Thibault, additional, Raaijmakers, Anke, additional, Schutte, Rudolph, additional, Stolarz-Skrzypek, Katarzyna, additional, Tikhonoff, Valérie, additional, Wang, Ji-Guang, additional, Wei, Fangfei, additional, Wei, Dongmei, additional, Yang, Wen-Yi, additional, Yu, Yuling, additional, Zhang, Zhenyu, additional, Martens, Dries S, additional, Roels, Harry A, additional, Willum-Hansen, Tine, additional, and Maestre, Gladys E, additional
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- 2021
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9. Distribution and Characterization of Higher Chlorinated Benzenes in Outdoor Dust Collected from a Fast Developing City in North China
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Yang, Zhong-Zhi, Li, Yong-Fang, Li, Zhi-Chun, Gu, Yu-Mei, Zhu, Ya, and Zhang, Zhan-Jun
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- 2011
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10. The urinary proteome as correlate and predictor of renal function in a population study
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Gu, Yu-Mei, Thijs, Lutgarde, Liu, Yan-Ping, Zhang, Zhenyu, Jacobs, Lotte, Koeck, Thomas, Zürbig, Petra, Lichtinghagen, Ralf, Brand, Korbinian, Kuznetsova, Tatiana, Olivi, Laura, Verhamme, Peter, Delles, Christian, Mischak, Harald, and Staessen, Jan A.
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- 2014
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11. Application of the BIOMED-2 standardized primer system for the diagnosis of primary gastric B-cell non-Hodgkinʼs lymphoma
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Jia, Cong-Wei, Sun, Jian, Gu, Yu-Mei, Zhang, Ting-Ting, Liu, Ming-Yang, Chen, Jie, and Lu, Zhao-Hui
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- 2014
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12. Expression of heparanase and its clinical significance in human non-small cell lung cancer
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Han Yu-chen, Li Shu-yu, Yu Min, Gu Yu-mei, Zhang Si-yang, Pecker, Iris, Wang En-hua, and Qiu Xue-shan
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- 2005
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13. The miR-217 microRNA functions as a potential tumor suppressor in pancreatic ductal adenocarcinoma by targeting KRAS
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Zhao, Wu-Gan, Yu, Shuang-Ni, Lu, Zhao-Hui, Ma, Yi-Hui, Gu, Yu-Mei, and Chen, Jie
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- 2010
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14. Elevated thymosin β15 expression is associated with progression and metastasis of non-small cell lung cancer
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GU, YU-MEI, LI, SHU-YU, QIU, XUE-SHAN, and WANG, EN-HUA
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- 2008
15. P4.2 Coronary Risk in Relation to Genetic Variation in MEOX2 and TCF15 in a Flemish Population
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Yang, Wen-Yi, Petit, Thibault, Thijs, Lutgard, Zhang, Zhen-Yu, Jacobs, Lotte, Hara, Azusa, Wei, Fang-Fei, Salvi, Erika, Citterio, Lorena, Gu, Yu-Mei, Knez, Judita, Cauwenberghs, Nicholas, Barcella, Matteo, Barlassina, Cristina, Manuta, Paolo, Kuznetsova, Tatiana, Cusi, Daniele, Verhamme, Peter, Luttun, Aernout, and Staessen, Jan
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- 2015
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16. 5.4 Matrix Gla Protein in Relation to Left Ventricular Diastolic Function
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Petit, Thibault, Zhang, Zhen-Yu, Yang, Wen-Yi, Wei, Fang-Fei, Gu, Yu-Mei, Knez, Juditha, Cauwenberghs, Nicholas, Liu, Yan-Ping, Drummen, Nadja, Jacobs, Lotte, Thijs, Lutgarde, Kuznetsova, Tatiana, Janssens, Stefan, Vermeer, Cees, and Staessen, Jan A.
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- 2015
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17. 4.2: Do Level and Variability of Systolic Blood Pressure Predict Arterial Properties or Vice Versa?
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Liu, Yan-Ping, Gu, Yu-Mei, Thijs, Lutgarde, Asayama, Kei, Jin, Yu, Jacobs, Lotte, Kuznetsova, Tatiana, Verhamme, Peter, Van Bortel, Luc, Struijker-Boudier, Harry A. J., and Staessen, Jan A.
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- 2013
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18. Heritability of The Retinal Microcirculation in Flemish Families
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Liu, Yan-Ping, Kuznetsova, Tatiana, Jin, Yu, Thijs, Lutgarde, Asayama, Kei, Gu, Yu-Mei, Bochud, Murielle, Verhamme, Peter, Struijker-Boudier, Harry A.J., Staessen, Jan A., Liu, Yan-Ping, Kuznetsova, Tatiana, Jin, Yu, Thijs, Lutgarde, Asayama, Kei, Gu, Yu-Mei, Bochud, Murielle, Verhamme, Peter, Struijker-Boudier, Harry A.J., and Staessen, Jan A.
- Abstract
BACKGROUND Few population studies have described the heritability and intrafamilial concordance of the retinal microvessels, or the genetic or environmental correlations of the phenotypes of these vessels. METHODS We randomly selected 413 participants from 70 families (mean age, 51.5 years; 50.1% women) from a Flemish population. We postprocessed retinal images using IVAN software to generate the central retinal arteriole equivalent (CRAE), central retinal venule equivalent (CRVE), and arteriole-to-venule-ratio (AVR) from these images. We used SAGE version 6.2 and SAS version 9.2 to compute multivariate-adjusted estimates of heritability and intrafamilial correlations of the CRAE, CRVE, and AVR of the retinal microvessels in the images. RESULTS Sex, age, mean arterial pressure, and smoking explained up to 12.7% of the variance of the phenotypes of the retinal microvessels of the study participants. With adjustments applied for these covariates, the heritability estimates of CRAE, CRVE, and AVR were 0.213 (P = 0.044), 0.339 (P = 0.010), and 0.272 (P = 0.004), respectively. The parent-offspring correlations for CRAE, CRVE, and AVR were 0.118 (NS), 0.225 (P < 0.01), and 0.215 (P < 0.05), respectively. The corresponding values were 0.222 (P < 0.05), 0.213 (P < 0.05), and 0.390 (P < 0.001) for sib-sib correlations, respectively. The genetic and environmental correlations between CRAE and CRVE were 0.360 and 0.545 (P < 0.001 for both). CONCLUSION Our study showed moderate heritability for CRAE, CRVE, and AVR, and a significant genetic correlation of CRAE with CRVE in the Flemish population of our study. These findings suggest that genetic factors influence the diameter of the retinal microvessels, and that CRAE and CRVE share some genetic determinants
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- 2017
19. PEAR1 is not a major susceptibility gene for cardiovascular disease in a Flemish population
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Yang, Wen-Yi, primary, Petit, Thibault, additional, Cauwenberghs, Nicholas, additional, Zhang, Zhen-Yu, additional, Sheng, Chang-Sheng, additional, Thijs, Lutgarde, additional, Salvi, Erika, additional, Izzi, Benedetta, additional, Vandenbriele, Christophe, additional, Wei, Fang-Fei, additional, Gu, Yu-Mei, additional, Jacobs, Lotte, additional, Citterio, Lorena, additional, Delli Carpini, Simona, additional, Barlassina, Cristina, additional, Cusi, Daniele, additional, Hoylaerts, Marc F., additional, Verhamme, Peter, additional, Kuznetsova, Tatiana, additional, and Staessen, Jan A., additional
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- 2017
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20. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study
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Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O., Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H., Rüeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E., Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B., Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E., Jackson, Anne U., Jacobs, Kevin B., Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E., Lahti, Jari, Leach, Irene Mateo, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A. F., Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L., Montasser, May E., Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M., Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W., Renström, Frida, Rizzi, Federica, Rose, Lynda M., Ryan, Kathy A., Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J., Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P., Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V., Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L., Wang, Sophie R., Wang, Zhaoming, Wild, Sarah H., Willenborg, Christina, Wilson, James F., Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M., Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A., Bakker, Stephan J. L., Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L., Boyd, Heather A., Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S., Claudi-Boehm, Simone, Cole, John, Collins, Francis S., de Geus, Eco J. C., de Groot, Lisette C. P. G. M., Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G., Friedrich, Nele, Gejman, Pablo V., Gigante, Bruna, Glorioso, Nicola, Go, Alan S., Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C., Hansen, Torben, Harris, Tamara B., Hartman, Catharina A., Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T., Heath, Andrew C., Henders, Anjali K., Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L., Hutri-Kähönen, Nina, Hysi, Pirro G., Illig, Thomas, De Jager, Philip L., Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J. Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J., Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T., Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J., Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K., McArdle, Wendy L., Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W., Morris, Andrew P., Narisu, Narisu, Nelis, Mari, Ong, Ken K., Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G., Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M., Rice, Treva K., Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R., Sarzynski, Mark A., Scholtens, Salome, Scott, Robert A., Scott, William R., Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P. Eline, Smit, Jan H., Sparsø, Thomas H., Stirrups, Kathleen, Stolk, Ronald P., Stringham, Heather M., Swertz, Morris A, Swift, Amy J., Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J., Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M., Waldenberger, Melanie, Walker, Ryan W., Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F., Zillikens, M. Carola, van Dijk, Suzanne C., van Schoor, Natasja M., Asselbergs, Folkert W., de Bakker, Paul I. W., Beckmann, Jacques S., Beilby, John, Bennett, David A., Bergman, Richard N., Bergmann, Sven, Böger, Carsten A., Boehm, Bernhard O., Boerwinkle, Eric, Boomsma, Dorret I., Bornstein, Stefan R., Bottinger, Erwin P., Bouchard, Claude, Chambers, John C., Chanock, Stephen J., Chasman, Daniel I., Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G., Evans, Denis A., de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W., Froguel, Philippe, Gansevoort, Ron T., Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V., Hveem, Kristian, James, Alan L., Jordan, Joanne M., Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A. L. M., Kivimaki, Mika, Knekt, Paul B., Koistinen, Heikki A., Kooner, Jaspal S., Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F., Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D., Moll, Frans L., Murray, Jeffrey C., Musk, Arthur W., Nieminen, Markku S., Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J., Oostra, Ben A., Palmer, Lyle J, Pankow, James S., Pasterkamp, Gerard, Pedersen, Nancy L., Pedersen, Oluf, Penninx, Brenda W., Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P., Psaty, Bruce M., Qi, Lu, Quertermous, Thomas, Raitakari, Olli T., Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M., Rioux, John D., Rivadeneira, Fernando, Rotter, Jerome I., Rudan, Igor, den Ruijter, Hester M., Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E. H., Shuldiner, Alan R., Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I. A., Spector, Tim D., Staessen, Jan A., Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G., Uusitupa, Matti, Verbeek, André L. M., Vermeulen, Sita H., Viikari, Jorma S., Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J., Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J., Cupples, L. Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E., Rao, D. C., Abecasis, Goncalo R., Assimes, Themistocles L., Barroso, Inês, Berndt, Sonja I., Boehnke, Michael, Deloukas, Panos, Fox, Caroline S., Groop, Leif C., Hunter, David J., Ingelsson, Erik, Kaplan, Robert C., McCarthy, Mark I., Mohlke, Karen L., O'Connell, Jeffrey R., Schlessinger, David, Strachan, David P., Stefansson, Kari, van Duijn, Cornelia M., Hirschhorn, Joel N., Lindgren, Cecilia M., Heid, Iris M., North, Kari E., Borecki, Ingrid B., Kutalik, Zoltán, and Loos, Ruth J. F.
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ddc - Published
- 2015
21. Additional file 1: of Coronary risk in relation to genetic variation in MEOX2 and TCF15 in a Flemish population
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Yang, Wen-Yi, Petit, Thibault, Lutgarde Thijs, Zhang, Zhen-Yu, Jacobs, Lotte, Hara, Azusa, Wei, Fang-Fei, Salvi, Erika, Citterio, Lorena, Carpini, Simona Delli, Gu, Yu-Mei, Knez, Judita, Cauwenberghs, Nicholas, Barcella, Matteo, Barlassina, Cristina, Manunta, Paolo, Coppiello, Giulia, Aranguren, Xabier, Kuznetsova, Tatiana, Cusi, Daniele, Verhamme, Peter, Luttun, Aernout, and Staessen, Jan
- Subjects
cardiovascular diseases - Abstract
Table S1. Common tagging SNPs in MEOX2. Table S2. MEOX2 and TCF15 SNPs and allele and genotype frequencies in unrelated founders. Table S3. MEOX2 and TCF15 allele and genotype frequencies in 2027 analysed participants. Table S4. Sex- and age-standardised CHD rates by MEOX2 SNPs. Table S5. Hazard ratios for CHD by MEOX2 SNPs in participants free of CHD at baseline. Table S6. Sex- and age-standardised CHD rates by MEOX2 haplotypes. Table S7. Hazard ratios for CHD by MEOX2 haplotypes reconstructed while accounting for pedigree information. Table S8. Hazard ratios for CHD by MEOX2 haplotypes in participants free of CHD at baseline. Table S9. Baseline characteristics of participants without blood left for genotyping compared with those included in the analyses. Figure S1. Plot of the MEOX2 gene and flanking regions on chromosome 7. Figure S2. Plot of the TCF15 gene and flanking regions on chromosome 20. Figure S3. Interaction between TCF15 rs12624577 and MEOX2 rs4532497. Figure S4. Incidence of coronary endpoints, myocardial infarction and coronary revascularisation in MEOX2 GTCCGC carriers and non-carriers.
- Published
- 2015
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22. Expression of heparanase and its clinical significance in human non-small cell lung cancer
- Author
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Yu Min, Li Shu-yu, Qiu Xueshan, Gu Yu-mei, Iris Pecker, Zhang Siyang, Wang En-hua, and Han Yu-chen
- Subjects
Cancer Research ,Pathology ,medicine.medical_specialty ,medicine.diagnostic_test ,Biology ,medicine.disease ,Metastasis ,Staining ,Oncology ,Western blot ,medicine ,Immunohistochemistry ,Clinical significance ,Heparanase ,Stage (cooking) ,Lung cancer - Abstract
Objective: To explore the expression and significance of heparanase in non-small cell lung cancer (NSCLC) regarding prognosis and clinicopathological parameters. Methods: The expression of heparanase was assessed using immunohistochemistry staining and Western blot in 122 paraffin-embedded specimens and 38 freshly taken tissues. The relationship between heparanase expression and the clinicopathological factors was analyzed by Chi-square test, multivariate analysis and Kaplan-Meier method. Results: In the immunoreactive cells, staining was mainly located in cytoplasma and membrane. Human heparanase was highly expressed in lung cancer tissue (78.7%, 96/122) while negative in epithelia of normal lung tissues. The level of heparanase was remarkably higher in NSCLC than that in normal tissue (P=0.043). Expression of heparanase significantly correlated with TNM stage (P=0.025), lymphatic metastasis (P=0.002) and vascular invasion (P=0.0003). The patients with positive heparanase expression had a significantly shorter survival than those with negative heparanase expression (P=0.0006). In multivariate analysis, only p-TNM stage, lymphatic metastasis and vascular invasion could be considered as prognostic factors. Conclusion: Elevated level of heparanase in human non-small cell lung cancer tissues correlates with the TNM stage, invasion, metastasis and prognosis. However, heparanase expression is not an independent prognostic factor.
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- 2005
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23. Urinary Proteomics Pilot Study for Biomarker Discovery and Diagnosis in Heart Failure with Reduced Ejection Fraction
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Rossing, Kasper, Bosselmann, Helle Skovmand, Gustafsson, Finn, Zhang, Zhen Yu, Gu, Yu-Mei, Kuznetsova, Tatiana, Nkuipou-Kenfack, Esther, Mischak, Harald, Staessen, Jan A., Koeck, Thomas, Schou, Morten, Rossing, Kasper, Bosselmann, Helle Skovmand, Gustafsson, Finn, Zhang, Zhen Yu, Gu, Yu-Mei, Kuznetsova, Tatiana, Nkuipou-Kenfack, Esther, Mischak, Harald, Staessen, Jan A., Koeck, Thomas, and Schou, Morten
- Abstract
Background Biomarker discovery and new insights into the pathophysiology of heart failure with reduced ejection fraction (HFrEF) may emerge from recent advances in high-throughput urinary proteomics. This could lead to improved diagnosis, risk stratification and management of HFrEF. Methods and Results Urine samples were analyzed by on-line capillary electrophoresis coupled to electrospray ionization micro time-of-flight mass spectrometry (CE-MS) to generate individual urinary proteome profiles. In an initial biomarker discovery cohort, analysis of urinary proteome profiles from 33 HFrEF patients and 29 age- and sex-matched individuals without HFrEF resulted in identification of 103 peptides that were significantly differentially excreted in HFrEF. These 103 peptides were used to establish the support vector machine-based HFrEF classifier HFrEF103. In a subsequent validation cohort, HFrEF103 very accurately (area under the curve, AUC = 0.972) discriminated between HFrEF patients (N = 94, sensitivity = 93.6%) and control individuals with and without impaired renal function and hypertension (N = 552, specificity = 92.9%). Interestingly, HFrEF103 showed low sensitivity (12.6%) in individuals with diastolic left ventricular dysfunction (N = 176). The HFrEF-related peptide biomarkers mainly included fragments of fibrillar type I and III collagen but also, e.g., of fibrinogen beta and alpha-1-antitrypsin. Conclusion CE-MS based urine proteome analysis served as a sensitive tool to determine a vast array of HFrEF-related urinary peptide biomarkers which might help improving our understanding and diagnosis of heart failure.
- Published
- 2016
24. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study
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Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan JL, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco JC, de Groot, Lisette CPGM, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul IW, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus ALM, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter EH, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild IA, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André LM, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, DC, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth JF, Division of Statistical Genomics, Washington University School of Medicine, Institut Pasteur du Cambodge, Réseau International des Instituts Pasteur (RIIP), Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Metabolic Science, MRC, Brown University, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), King‘s College London, Groningen Bioinformatics Centre, GBB, University of Groningen [Groningen], University of Queensland [Brisbane], National Institut of Food Science and Technology, University of Agriculture, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of neurology, Leiden University Medical Center (LUMC), University of Washington [Seattle], Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Limnology, Ecology, Department of Ecology and Evolutionary Biology, University of California, Core Genotyping Facility, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Cancer Epidemiology and Genetics, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Chemical Engineering Taiwan (DCET - NTHU), National Tsing Hua University [Hsinchu] (NTHU), University of Oxford [Oxford], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Department of Medical Sciences, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE Genetics, deCODE genetics [Reykjavik], Interuniversity Cardiology Institute Netherlands, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, TX], Medical Department III, Universität Leipzig [Leipzig], Foie, métabolismes et cancer, 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 ), Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], GNS Science, Blackett Laboratory, Imperial College London, Medstar Research Institute, University of Rochester [USA], MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Dept Biochem & Mol Biol, Pennsylvania State University (Penn State), Penn State System-Penn State System, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Epidemiology, University Medical Centre Groningen, Unit for Molecular Epidemiology, German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, 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], Harvard Medical School [Boston] (HMS), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (KU), Faculty of Medicine, Institute of Public Health, Aalborg University [Denmark] (AAU), Department of Nutrition-Dietetics, Harokopio University of Athens, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Department of Epidemiology and Public Health, University College of London [London] (UCL), Department of Public health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden, Research Center for Prevention and Health, Glostrup Hospital, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Cambridge Institute of Public Health, University of Cambridge [UK] (CAM), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Queensland Institute of Medical Research, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Head of Medical Sequencing, Department of Biostatistics, University of Washington, Department of Chronic Disease Prevention, Molecular Epidemiology, Department of Genetics, Université Laval [Québec] (ULaval), Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Netherlands Genomics Initiative, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Department of Internal Medicine, Université de Lausanne (UNIL), Carl Gustav Carus University Hospital, Loughborough University, Genomics and Bioinformatics Platform, Fondazione Filarete, Department of Medicine, Surgery, and Dentistry, University of Milano, Medizinische Klinik II, Universität zu Lübeck [Lübeck], Department of Genomic Medicine, University of Manchester [Manchester], The Wellcome Trust Centre for Human Genetics [Oxford], National Institutes of Health [Bethesda] (NIH), Department of Nephrology, University Medical Center, University of Groningen, Helmholtz-Zentrum München (HZM), Icelandic Heart Association, Kopavogur, Iceland., Faculty of Medicine, University of Iceland [Reykjavik], Genetics and Pathology, Department of child and adolescent psychiatry, Universität Duisburg-Essen [Essen], Department of Internal Medicine II, Division of Respirology, University of Regensburg, Regensburg, Germany, Universität Regensburg (UR), Franz-Volhard-Centrum für Klinische Forschung, ECRC, Department of Clinical Physiology, University of Tampere [Finland]-Tampere University Hospital, Finnish Institute of Occupational Health of Helsinki, Department of Clinical Chemistry, Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Department of Oncology, University of Tampere Medical School, University of Tampere, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, Department of Medicine, Montreal, Developmental Brain and Behaviour Unit, University of Southampton, Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Centre for Bone and Arthritis Research, Institute of Medicine-University of Gothenburg (GU), Interdisciplinary Center for Psychiatric Epidemiology, Experimental Cardiology Laboratory, University Medical Center [Utrecht], Peter MacCallum Cancer Center, Faculty of Health Sciences, Aarhus University [Aarhus], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Department of Health Services, University of Washington, Group Health Research Institute, Group Health Cooperative, Department of Epidemiology, University of Washington, Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital (TYKS), Erasmus Medical Centre, Cedars-Sinai Medical Center, Department of Pathological Biochemistry, Royal Infirmary, 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), Institute of Preventive Medicine, Copenhagen University Hospital-Bispebjerg and Frederiksberg Hospitals, Maastricht University [Maastricht], Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Department of Epidemiology & Biostatistics, Radboud University Medical Center [Nijmegen], Institute for Community Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), MRC epidemiology Unit, Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Department of Genetics and Biotechnology, Wellcome Trust, Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Department of Medical Genetics, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), P30 AG010161/AG/NIA NIH HHS/United States, Psychiatry, Epidemiology and Data Science, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Other departments, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, RS: CARIM - R3 - Vascular biology, MUMC+: DA BV AIOS Radiologie (9), Epidemiologie, Orthopedie, Institute for Molecular Medicine Finland, Helsinki Collegium for Advanced Studies, Behavioural Sciences, University of Helsinki, Transplantation Laboratory, Medicum, Research Programs Unit, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Children's Hospital, Lastentautien yksikkö, Marja-Liisa Lokki / Principal Investigator, Kardiologian yksikkö, Leif Groop Research Group, Quantitative Genetics, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Ehret, Georg Benedikt, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Universiteit Leiden-Universiteit Leiden, 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), University of California (UC), University of Oxford, Lund University [Lund], Universität Leipzig, 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 ), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Helmholtz Zentrum München = German Research Center for Environmental Health, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (UCPH), Université de Lausanne = University of Lausanne (UNIL), Universität zu Lübeck = University of Lübeck [Lübeck], Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Gothenburg (GU)-Institute of Medicine, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Luan, Jian'an [0000-0003-3137-6337], Tyrer, Jonathan [0000-0003-3724-4757], Forouhi, Nita [0000-0002-5041-248X], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Johnson, Kathleen [0000-0002-6823-3252], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Apollo - University of Cambridge Repository, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Biochemistry, Surgery, Internal Medicine, Public Health, Medical Oncology, Pathology, Erasmus MC other, Child and Adolescent Psychiatry / Psychology, and Clinical Genetics
- Subjects
0301 basic medicine ,Netherlands Twin Register (NTR) ,Male ,Cancer Research ,endocrine system diseases ,Biological pathways ,QH426-470 ,Genome ,Body Mass Index ,Body Size ,Genetics (clinical) ,ddc:616 ,Genetics & Heredity ,Sex Characteristics ,Loci ,MAGIC Consortium ,Mass index ,Age Factors ,Chromosome Mapping ,Middle Aged ,Genealogy ,Self-reported height ,Peripheral-blood ,Scale (social sciences) ,ICBP Consortium ,Female ,Life Sciences & Biomedicine ,Medical Genetics ,Research Article ,arcOGEN Consortium ,musculoskeletal diseases ,Adult ,European Continental Ancestry Group ,Natural menopause ,Aged ,Body Size/genetics ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Polymorphism, Single Nucleotide ,Waist-Hip Ratio ,Biology ,Body size ,DIAGRAM Consortium ,Age and sex ,White People ,Fat distribution ,GLGC Consortium ,03 medical and health sciences ,Life-course ,Genetics ,Weight-gain ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Medicinsk genetik ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,0604 Genetics ,Science & Technology ,nutritional and metabolic diseases ,Correction ,030104 developmental biology ,GWAS meta-analysis ,Global-BPGen Consortium ,Common SNPS ,CHARGE Consortium ,3111 Biomedicine ,Developmental Biology - Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR, Author Summary Adult body size and body shape differ substantially between men and women and change over time. More than 100 genetic variants that influence body mass index (measure of body size) or waist-to-hip ratio (measure of body shape) have been identified. While there is evidence that some genetic loci affect body shape differently in men than in women, little is known about whether genetic effects differ in older compared to younger adults, and whether such changes differ between men and women. Therefore, we conducted a systematic genome-wide search, including 114 studies (>320,000 individuals), to specifically identify genetic loci with age- and or sex-dependent effects on body size and shape. We identified 15 loci of which the effect on BMI was different in older compared to younger adults, whereas we found no evidence for loci with different effects in men compared to women. The opposite was seen for body shape as we identified 44 loci of which the effect on waist-to-hip ratio differed between men and women, but no difference between younger and older adults were observed. Our observations may provide new insights into the biology that underlies weight change with age or the sexual dimorphism of body shape.
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- 2014
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25. Conventional and Ambulatory Blood Pressure as Predictors of Retinal Arteriolar Narrowing
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Wei, Fang-Fei, primary, Zhang, Zhen-Yu, additional, Thijs, Lutgarde, additional, Yang, Wen-Yi, additional, Jacobs, Lotte, additional, Cauwenberghs, Nicholas, additional, Gu, Yu-Mei, additional, Kuznetsova, Tatiana, additional, Allegaert, Karel, additional, Verhamme, Peter, additional, Li, Yan, additional, Struijker-Boudier, Harry A.J., additional, and Staessen, Jan A., additional
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- 2016
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26. Urinary Proteomics Pilot Study for Biomarker Discovery and Diagnosis in Heart Failure with Reduced Ejection Fraction
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Rossing, Kasper, primary, Bosselmann, Helle Skovmand, additional, Gustafsson, Finn, additional, Zhang, Zhen-Yu, additional, Gu, Yu-Mei, additional, Kuznetsova, Tatiana, additional, Nkuipou-Kenfack, Esther, additional, Mischak, Harald, additional, Staessen, Jan A., additional, Koeck, Thomas, additional, and Schou, Morten, additional
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- 2016
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27. MO026A URINARY PROTEOME-BASED CLASSIFIER FOR THE EARLY DETECTION OF DECLINE IN GLOMERULAR FILTRATION
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Pontillo, Claudia, primary, Jacobs, Lotte, additional, Staessen, Jan A., additional, Schanstra, Joost P, additional, Gu, Yu-Mei, additional, Zhang, Zhenyu, additional, Dakna, Mohammed, additional, Siwy, Justyna, additional, Zürbig, Petra, additional, and Mischak, Harald, additional
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- 2016
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28. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape : A Large-Scale Genome-Wide Interaction Study
- Author
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Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan J L, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco J C, de Groot, Lisette C P G M, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul I W, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A L M, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E H, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I A, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André L M, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, D C, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth J F, Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton J M, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W K, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela A F, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan J L, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco J C, de Groot, Lisette C P G M, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul I W, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus A L M, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter E H, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild I A, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André L M, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, D C, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, and Loos, Ruth J F
- Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
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29. Left Ventricular Dysfunction and CXCR3 Ligands in Hypertension: From Animal Experiments to a Population-Based Pilot Study
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Altara, Raffaele, Altara, Raffaele, Gu, Yu-Mei, Struijker-Boudier, Harry A. J., Thijs, Lutgarde, Staessen, Jan A., Blankesteijn, W. Matthijs, Altara, Raffaele, Altara, Raffaele, Gu, Yu-Mei, Struijker-Boudier, Harry A. J., Thijs, Lutgarde, Staessen, Jan A., and Blankesteijn, W. Matthijs
- Abstract
Detecting left ventricular (LV) dysfunction at an early stage is key in addressing the heart failure epidemic. In proteome profiling experiments in mice subjected either to aortic banding or sham, the circulating CXCR3 ligands monokine induced by interferon-gamma (MIG) and interferon-gamma inducible protein 10 (IP10) were 5 to 40 fold up-regulated at eight weeks. We assessed the diagnostic value of circulating NT-pro BNP and CXCR3 ligands (MIG, IP10, Interferon-inducible T-cell alpha chemo-attractant [I-TAC]) in patients with hypertension (>= 140/90 mm Hg) associated with subclinical (n = 19) or symptomatic (n = 16) diastolic LV dysfunction on echocardiography and healthy controls. NT-pro BNP, MIG, IP10, I-TAC all increased (p
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- 2015
30. Renal glomerular dysfunction in relation to retinal arteriolar narrowing and high pulse pressure in seniors
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Gu, Yu-Mei, primary, Petit, Thibault, additional, Wei, Fang-Fei, additional, Thijs, Lutgarde, additional, Jacobs, Lotte, additional, Zhang, Zhen-Yu, additional, Yang, Wen-Yi, additional, Cauwenberghs, Nicholas, additional, Knez, Judita, additional, Struijker-Boudier, Harry A J, additional, Kuznetsova, Tatiana, additional, Verhamme, Peter, additional, and Staessen, Jan A, additional
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- 2015
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31. Left Ventricular Dysfunction and CXCR3 Ligands in Hypertension: From Animal Experiments to a Population-Based Pilot Study
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Altara, Raffaele, primary, Gu, Yu-Mei, additional, Struijker-Boudier, Harry A. J., additional, Thijs, Lutgarde, additional, Staessen, Jan A., additional, and Blankesteijn, W. Matthijs, additional
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- 2015
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32. Coronary risk in relation to genetic variation in MEOX2 and TCF15 in a Flemish population
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Yang, Wen-Yi, primary, Petit, Thibault, additional, Thijs, Lutgarde, additional, Zhang, Zhen-Yu, additional, Jacobs, Lotte, additional, Hara, Azusa, additional, Wei, Fang-Fei, additional, Salvi, Erika, additional, Citterio, Lorena, additional, Delli Carpini, Simona, additional, Gu, Yu-Mei, additional, Knez, Judita, additional, Cauwenberghs, Nicholas, additional, Barcella, Matteo, additional, Barlassina, Cristina, additional, Manunta, Paolo, additional, Coppiello, Giulia, additional, Aranguren, Xabier L., additional, Kuznetsova, Tatiana, additional, Cusi, Daniele, additional, Verhamme, Peter, additional, Luttun, Aernout, additional, and Staessen, Jan A., additional
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- 2015
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33. Urinary Proteome and Systolic Blood Pressure as Predictors of 5-Year Cardiovascular and Cardiac Outcomes in a General Population
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Zhang, Zhen-Yu, primary, Thijs, Lutgarde, additional, Petit, Thibault, additional, Gu, Yu-Mei, additional, Jacobs, Lotte, additional, Yang, Wen-Yi, additional, Liu, Yan-Ping, additional, Koeck, Thomas, additional, Zürbig, Petra, additional, Jin, Yu, additional, Verhamme, Peter, additional, Voigt, Jens-Uwe, additional, Kuznetsova, Tatiana, additional, Mischak, Harald, additional, and Staessen, Jan A., additional
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- 2015
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34. Characteristics and Determinants of the Sublingual Microcirculation in Populations of Different Ethnicity
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Gu, Yu-Mei, primary, Wang, Shuai, additional, Zhang, Lu, additional, Liu, Yan-Ping, additional, Thijs, Lutgarde, additional, Petit, Thibault, additional, Zhang, Zhenyu, additional, Wei, Fang-Fei, additional, Kang, Yuan-Yuan, additional, Huang, Qi-Fang, additional, Sheng, Chang-Sheng, additional, Struijker-Boudier, Harry A.J., additional, Kuznetsova, Tatiana, additional, Verhamme, Peter, additional, Li, Yan, additional, and Staessen, Jan A., additional
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- 2015
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35. Longitudinal Changes in Left Ventricular Diastolic Function in a General Population
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Kuznetsova, Tatiana, primary, Thijs, Lutgarde, additional, Knez, Judita, additional, Cauwenberghs, Nicholas, additional, Petit, Thibault, additional, Gu, Yu-Mei, additional, Zhang, Zhenyu, additional, and Staessen, Jan A., additional
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- 2015
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36. Inactive Matrix Gla Protein Is Causally Related to Adverse Health Outcomes
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Liu, Yan-Ping, primary, Gu, Yu-Mei, additional, Thijs, Lutgarde, additional, Knapen, Marjo H.J., additional, Salvi, Erika, additional, Citterio, Lorena, additional, Petit, Thibault, additional, Carpini, Simona Delli, additional, Zhang, Zhenyu, additional, Jacobs, Lotte, additional, Jin, Yu, additional, Barlassina, Cristina, additional, Manunta, Paolo, additional, Kuznetsova, Tatiana, additional, Verhamme, Peter, additional, Struijker-Boudier, Harry A., additional, Cusi, Daniele, additional, Vermeer, Cees, additional, and Staessen, Jan A., additional
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- 2015
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37. Study for Promotion of Health in Recycling Lead – Rationale and design
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Hara, Azusa, primary, Gu, Yu-Mei, additional, Petit, Thibault, additional, Liu, Yan-Ping, additional, Jacobs, Lotte, additional, Zhang, Zhen-Yu, additional, Yang, Wen-Yi, additional, Jin, Yu, additional, Thijs, Lutgarde, additional, Wei, Fang-Fei, additional, Nawrot, Tim S., additional, and Staessen, Jan A., additional
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- 2015
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38. Blood Pressure in Relation to Environmental Lead Exposure in the National Health and Nutrition Examination Survey 2003 to 2010
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Hara, Azusa, primary, Thijs, Lutgarde, additional, Asayama, Kei, additional, Gu, Yu-Mei, additional, Jacobs, Lotte, additional, Zhang, Zhen-Yu, additional, Liu, Yan-Ping, additional, Nawrot, Tim S., additional, and Staessen, Jan A., additional
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- 2015
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39. Risk Stratification by Ambulatory Blood Pressure Monitoring Across JNC Classes of Conventional Blood Pressure
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Brguljan-Hitij, Jana, Thijs, Lutgarde, Li, Yan, Hansen, Tine W., Boggia, Jose, Liu, Yan-Ping, Asayama, Kei, Wei, Fang-Fei, Bjorklund-Bodegard, Kristina, Gu, Yu-Mei, Ohkubo, Takayoshi, Jeppesen, Jorgen, Torp-Pedersen, Christian, Dolan, Eamon, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Filipovsky, Jan, Imai, Yutaka, Wang, Jiguang, O'Brien, Eoin, Staessen, Jan A., Brguljan-Hitij, Jana, Thijs, Lutgarde, Li, Yan, Hansen, Tine W., Boggia, Jose, Liu, Yan-Ping, Asayama, Kei, Wei, Fang-Fei, Bjorklund-Bodegard, Kristina, Gu, Yu-Mei, Ohkubo, Takayoshi, Jeppesen, Jorgen, Torp-Pedersen, Christian, Dolan, Eamon, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Filipovsky, Jan, Imai, Yutaka, Wang, Jiguang, O'Brien, Eoin, and Staessen, Jan A.
- Abstract
BACKGROUND Guidelines propose classification of conventional blood pressure (CBP) into normotension (<120/<80 mm Hg), prehypertension (120-139/80-89 mm Hg), and hypertension (>140/>90 mm Hg). METHODS To assess the potential differential contribution of ambulatory blood pressure (ABP) in predicting risk across CBP strata, we analyzed outcomes in 7,826 untreated people recruited from 11 populations. RESULTS During an 11.3-year period, 809 participants died (276 cardiovascular deaths) and 639, 383, and 225 experienced a cardiovascular, cardiac, or cerebrovascular event. Compared with normotension (n = 2,639), prehypertension (n = 3,076) carried higher risk (P <= 0.015) of cardiovascular (+ 41%) and cerebrovascular (+ 92%) endpoints; compared with hypertension (n = 2,111) prehypertension entailed lower risk (P <= 0.005) of total mortality (-14%) and cardiovascular mortality (-29%) and of cardiovascular (-34%), cardiac (-33%), or cerebrovascular (-47%) events. Multivariable-adjusted hazard ratios (HRs) for stroke associated with 24-hour and daytime diastolic ABP (+ 5 mm Hg) were higher (P <= 0.045) in normotension than in prehypertension and hypertension (1.98 vs. 1.19 vs. 1.28 and 1.73 vs. 1.09 vs. 1.24, respectively) with similar trends (0.03 <= P <= 0.11) for systolic ABP (+10 mm Hg). However, HRs for fatal endpoints and cardiac events associated with ABP did not differ significantly (P >= 0.13) across CBP categories. Of normotensive and prehypertensive participants, 7.5% and 29.3% had masked hypertension (daytime ABP >= 135/>= 85 mm Hg). Compared with true normotension (P <= 0.01), HRs for stroke were 3.02 in normotension and 2.97 in prehypertension associated with masked hypertension with no difference between the latter two conditions (P = 0.93). CONCLUSION ABP refines risk stratification in normotension and prehypertension mainly by enabling the diagnosis of masked hypertension.
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- 2014
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40. Ambulatory Hypertension Subtypes and 24-Hour Systolic and Diastolic Blood Pressure as Distinct Outcome Predictors in 8341 Untreated People Recruited From 12 Populations
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Li, Yan, Wei, Fang-Fei, Thijs, Lutgarde, Boggia, Jose, Asayama, Kei, Hansen, Tine W., Kikuya, Masahiro, Bjoerklund-Bodegard, Kristina, Ohkubo, Takayoshi, Jeppesen, Jorgen, Gu, Yu-Mei, Torp-Pedersen, Christian, Dolan, Eamon, Liu, Yan-Ping, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Mena, Luis, Maestre, Gladys E., Filipovsky, Jan, Imai, Yutaka, O'Brien, Eoin, Wang, Ji-Guang, Staessen, Jan A., Li, Yan, Wei, Fang-Fei, Thijs, Lutgarde, Boggia, Jose, Asayama, Kei, Hansen, Tine W., Kikuya, Masahiro, Bjoerklund-Bodegard, Kristina, Ohkubo, Takayoshi, Jeppesen, Jorgen, Gu, Yu-Mei, Torp-Pedersen, Christian, Dolan, Eamon, Liu, Yan-Ping, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Mena, Luis, Maestre, Gladys E., Filipovsky, Jan, Imai, Yutaka, O'Brien, Eoin, Wang, Ji-Guang, and Staessen, Jan A.
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Background-Data on risk associated with 24-hour ambulatory diastolic (DBP24) versus systolic (SBP24) blood pressure are scarce. Methods and Results-We recorded 24-hour blood pressure and health outcomes in 8341 untreated people (mean age, 50.8 years; 46.6% women) randomly recruited from 12 populations. We computed hazard ratios (HRs) using multivariable-adjusted Cox regression. Over 11.2 years (median), 927 (11.1%) participants died, 356 (4.3%) from cardiovascular causes, and 744 (8.9%) experienced a fatal or nonfatal cardiovascular event. Isolated diastolic hypertension (DBP24 >= 80 mm Hg) did not increase the risk of total mortality, cardiovascular mortality, or stroke (HRs <= 1.54; P >= 0.18), but was associated with a higher risk of fatal combined with nonfatal cardiovascular, cardiac, or coronary events (HRs >= 1.75; P <= 0.0054). Isolated systolic hypertension (SBP24 >= 130 mm Hg) and mixed diastolic plus systolic hypertension were associated with increased risks of all aforementioned end points (P <= 0.0012). Below age 50, DBP24 was the main driver of risk, reaching significance for total (HR for 1-SD increase, 2.05; P=0.0039) and cardiovascular mortality (HR, 4.07; P=0.0032) and for all cardiovascular end points combined (HR, 1.74; P=0.039) with a nonsignificant contribution of SBP24 (HR <= 0.92; P >= 0.068); above age 50, SBP24 predicted all end points (HR >= 1.19; P <= 0.0002) with a nonsignificant contribution of DBP24 (0.96 <= HR <= 1.14; P >= 0.10). The interactions of age with SBP24 and DBP24 were significant for all cardiovascular and coronary events (P <= 0.043). Conclusions-The risks conferred by DBP24 and SBP24 are age dependent. DBP24 and isolated diastolic hypertension drive coronary complications below age 50, whereas above age 50 SBP24 and isolated systolic and mixed hypertension are the predominant risk factors.
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- 2014
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41. Age-Specific Differences Between Conventional and Ambulatory Daytime Blood Pressure Values
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Conen, David, Aeschbacher, Stefanie, Thijs, Lutgarde, Li, Yan, Boggia, Jose, Asayama, Kei, Hansen, Tine W., Kikuya, Masahiro, Bjorklund-Bodegard, Krishna, Ohkubo, Takayoshi, Jeppesen, Jorgen, Gu, Yu-Mei, Torp-Pedersen, Christian, Dolan, Eamon, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Schoen, Tobias, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Mena, Luis, Maestre, Gladys E., Filipovsky, Jan, Imai, Yutaka, O'Brien, Eoin, Wang, Ji-Guang, Risch, Lorenz, Staessen, Jan A., Conen, David, Aeschbacher, Stefanie, Thijs, Lutgarde, Li, Yan, Boggia, Jose, Asayama, Kei, Hansen, Tine W., Kikuya, Masahiro, Bjorklund-Bodegard, Krishna, Ohkubo, Takayoshi, Jeppesen, Jorgen, Gu, Yu-Mei, Torp-Pedersen, Christian, Dolan, Eamon, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Schoen, Tobias, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Mena, Luis, Maestre, Gladys E., Filipovsky, Jan, Imai, Yutaka, O'Brien, Eoin, Wang, Ji-Guang, Risch, Lorenz, and Staessen, Jan A.
- Abstract
Mean daytime ambulatory blood pressure (BP) values are considered to be lower than conventional BP values, but data on this relation among younger individuals <50 years are scarce. Conventional and 24-hour ambulatory BP were measured in 9550 individuals not taking antihypertensive treatment from 13 population-based cohorts. We compared individual differences between daytime ambulatory and conventional BP according to 10-year age categories. Age-specific prevalences of white coat and masked hypertension were calculated. Among individuals aged 18 to 30, 30 to 40, and 40 to 50 years, mean daytime BP was significantly higher than the corresponding conventional BP (6.0, 5.2, and 4.7 mm Hg for systolic; 2.5, 2.7, and 1.7 mm Hg for diastolic BP; all P<0.0001). In individuals aged 60 to 70 and >= 70 years, conventional BP was significantly higher than daytime ambulatory BP (5.0 and 13.0 mm Hg for systolic; 2.0 and 4.2 mm Hg for diastolic BP; all P<0.0001). The prevalence of white coat hypertension exponentially increased from 2.2% to 19.5% from those aged 18 to 30 years to those aged >= 70 years, with little variation between men and women (8.0% versus 6.1%; P=0.0003). Masked hypertension was more prevalent among men (21.1% versus 11.4%; P<0.0001). The age-specific prevalences of masked hypertension were 18.2%, 27.3%, 27.8%, 20.1%, 13.6%, and 10.2% among men and 9.0%, 9.9%, 12.2%, 11.9%, 14.7%, and 12.1% among women. In conclusion, this large collaborative analysis showed that the relation between daytime ambulatory and conventional BP strongly varies by age. These findings may have implications for diagnosing hypertension and its subtypes in clinical practice.
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- 2014
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42. Setting Thresholds to Varying Blood Pressure Monitoring Intervals Differentially Affects Risk Estimates Associated With White-Coat and Masked Hypertension in the Population
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Asayama, Kei, Thijs, Lutgarde, Li, Yan, Gu, Yu-Mei, Hara, Azusa, Liu, Yan-Ping, Zhang, Zhenyu, Wei, Fang-Fei, Lujambio, Ines, Mena, Luis J., Boggia, Jose, Hansen, Tine W., Björklund-Bodegård, Kristina, Nomura, Kyoko, Ohkubo, Takayoshi, Jeppesen, Jorgen, Torp-Pedersen, Christian, Dolan, Eamon, Stolarz-Skrzypek, Katarzyna, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Luzardo, Leonella, Kawecka-Jaszcz, Kalina, Sandoya, Edgardo, Filipovsky, Jan, Maestre, Gladys E., Wang, Jiguang, Imai, Yutaka, Franklin, Stanley S., O'Brien, Eoin, Staessen, Jan A., Asayama, Kei, Thijs, Lutgarde, Li, Yan, Gu, Yu-Mei, Hara, Azusa, Liu, Yan-Ping, Zhang, Zhenyu, Wei, Fang-Fei, Lujambio, Ines, Mena, Luis J., Boggia, Jose, Hansen, Tine W., Björklund-Bodegård, Kristina, Nomura, Kyoko, Ohkubo, Takayoshi, Jeppesen, Jorgen, Torp-Pedersen, Christian, Dolan, Eamon, Stolarz-Skrzypek, Katarzyna, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Luzardo, Leonella, Kawecka-Jaszcz, Kalina, Sandoya, Edgardo, Filipovsky, Jan, Maestre, Gladys E., Wang, Jiguang, Imai, Yutaka, Franklin, Stanley S., O'Brien, Eoin, and Staessen, Jan A.
- Abstract
Outcome-driven recommendations about time intervals during which ambulatory blood pressure should be measured to diagnose white-coat or masked hypertension are lacking. We cross-classified 8237 untreated participants (mean age, 50.7 years; 48.4% women) enrolled in 12 population studies, using >= 140/>= 90, >= 130/>= 80, >= 135/>= 85, and >= 120/>= 70 mm Hg as hypertension thresholds for conventional, 24-hour, daytime, and nighttime blood pressure. White-coat hypertension was hypertension on conventional measurement with ambulatory normotension, the opposite condition being masked hypertension. Intervals used for classification of participants were daytime, nighttime, and 24 hours, first considered separately, and next combined as 24 hours plus daytime or plus nighttime, or plus both. Depending on time intervals chosen, white-coat and masked hypertension frequencies ranged from 6.3% to 12.5% and from 9.7% to 19.6%, respectively. During 91 046 person-years, 729 participants experienced a cardiovascular event. In multivariable analyses with normotension during all intervals of the day as reference, hazard ratios associated with white-coat hypertension progressively weakened considering daytime only (1.38; P=0.033), nighttime only (1.43; P=0.0074), 24 hours only (1.21; P=0.20), 24 hours plus daytime (1.24; P=0.18), 24 hours plus nighttime (1.15; P=0.39), and 24 hours plus daytime and nighttime (1.16; P=0.41). The hazard ratios comparing masked hypertension with normotension were all significant (P<0.0001), ranging from 1.76 to 2.03. In conclusion, identification of truly low-risk white-coat hypertension requires setting thresholds simultaneously to 24 hours, daytime, and nighttime blood pressure. Although any time interval suffices to diagnose masked hypertension, as proposed in current guidelines, full 24-hour recordings remain standard in clinical practice.
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- 2014
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43. Outcome-Driven Thresholds for Ambulatory Pulse Pressure in 9938 Participants Recruited From 11 Populations
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Gu, Yu-Mei, Thijs, Lutgarde, Li, Yan, Asayama, Kei, Boggia, Jose, Hansen, Tine W., Liu, Yan-Ping, Ohkubo, Takayoshi, Bjorklund-Bodegard, Krishna, Jeppesen, Jorgen, Dolan, Eamon, Torp-Pedersen, Christian, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Imai, Yutaka, Mena, Luis J., Wang, Jiguang, O'Brien, Eoin, Verhamme, Peter, Filipovsky, Jan, Maestre, Gladys E., Staessen, Jan A., Gu, Yu-Mei, Thijs, Lutgarde, Li, Yan, Asayama, Kei, Boggia, Jose, Hansen, Tine W., Liu, Yan-Ping, Ohkubo, Takayoshi, Bjorklund-Bodegard, Krishna, Jeppesen, Jorgen, Dolan, Eamon, Torp-Pedersen, Christian, Kuznetsova, Tatiana, Stolarz-Skrzypek, Katarzyna, Tikhonoff, Valerie, Malyutina, Sofia, Casiglia, Edoardo, Nikitin, Yuri, Lind, Lars, Sandoya, Edgardo, Kawecka-Jaszcz, Kalina, Imai, Yutaka, Mena, Luis J., Wang, Jiguang, O'Brien, Eoin, Verhamme, Peter, Filipovsky, Jan, Maestre, Gladys E., and Staessen, Jan A.
- Abstract
Evidence-based thresholds for risk stratification based on pulse pressure (PP) are currently unavailable. To derive outcome-driven thresholds for the 24-hour ambulatory PP, we analyzed 9938 participants randomly recruited from 11 populations (47.3% women). After age stratification (<60 versus >= 60 years) and using average risk as reference, we computed multivariable-adjusted hazard ratios (IIRs) to assess risk by tenths of the PP distribution or risk associated with stepwise increasing (+1 mm Hg) PP levels. All adjustments included mean arterial pressure. Among 6028 younger participants (68 853 person-years), the risk of cardiovascular (HR, 1.58; P=0.011) or cardiac (HR, 1.52; P=0.056) events increased only in the top PP tenth (mean, 60.6 mm Hg). Using stepwise increasing PP levels, the lower boundary of the 95% confidence interval of the successive thresholds did not cross unity. Among 3910 older participants (39 923 person-years), risk increased (P <= 0.028) in the top PP tenth (mean, 76.1 mm Hg). HRs were 1.30 and 1.62 for total and cardiovascular mortality, and 1.52, 1.69, and 1.40 for all cardiovascular, cardiac, and cerebrovascular events. The lower boundary of the 95% confidence interval of the HRs associated with stepwise increasing PP levels crossed unity at 64 mm Hg. While accounting for all covariables, the top tenth of PP contributed less than 0.3% (generalized R-2 statistic) to the overall risk among the elderly. Thus, in randomly recruited people, ambulatory PP does not add to risk stratification below age 60; in the elderly, PP is a weak risk factor with levels below 64 mm Hg probably being innocuous.
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- 2014
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44. PEAR1 is not a human hypertension-susceptibility gene
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Olivi, Laura, primary, Vandenbriele, Christophe, additional, Gu, Yu-Mei, additional, Salvi, Erika, additional, Carpini, Simona Delli, additional, Liu, Yan-Ping, additional, Jacobs, Lotte, additional, Jin, Yu, additional, Thijs, Lutgarde, additional, Citterio, Lorena, additional, Cusi, Daniele, additional, Verhamme, Peter, additional, and Staessen, Jan A., additional
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- 2014
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45. Abstract 11530: Age-Specific Differences Between Conventional and Ambulatory Daytime Blood Pressure Values
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Conen, David, primary, Aeschbacher, Stefanie, additional, Thijs, Lutgarde, additional, Li, Yan, additional, Boggia, José, additional, Asayama, Kei, additional, Hansen, Tine W, additional, Kikuya, Masahiro, additional, Björklund-Bodegård, Kristina, additional, Ohkubo, Takayoshi, additional, Jeppesen, Jørgen, additional, Gu, Yu-Mei, additional, Torp-Pedersen, Christian, additional, Dolan, Eamon, additional, Kuznetsova, Tatiana, additional, Stolarz-Skrzypek, Katarzyna, additional, Tikhonoff, Valérie, additional, Schoen, Tobias, additional, Malyutina, Sofia, additional, Casiglia, Edoardo, additional, Nikitin, Yuri, additional, Lind, Lars, additional, Sandoya, Edgardo, additional, Kawecka-Jaszcz, Kalina, additional, Mena, Luis, additional, Maestre, Gladys E, additional, Filipovsky, Jan, additional, Imai, Yutaka, additional, O’Brien, Eoin, additional, Wang, Ji-Guang, additional, Risch, Lorenz, additional, and Staessen, Jan A, additional
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- 2014
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46. Risk Associated with Pulse Pressure on Out-of-Office Blood Pressure Measurement
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Gu, Yu-Mei, primary, Aparicio, Lucas S., additional, Liu, Yan-Ping, additional, Asayama, Kei, additional, Hansen, Tine W., additional, Niiranen, Teemu J., additional, Boggia, Jos�, additional, Thijs, Lutgarde, additional, and Staessen, Jan A., additional
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- 2014
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47. Age-Specific Differences Between Conventional and Ambulatory Daytime Blood Pressure Values
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Conen, David, primary, Aeschbacher, Stefanie, additional, Thijs, Lutgarde, additional, Li, Yan, additional, Boggia, José, additional, Asayama, Kei, additional, Hansen, Tine W., additional, Kikuya, Masahiro, additional, Björklund-Bodegård, Kristina, additional, Ohkubo, Takayoshi, additional, Jeppesen, Jørgen, additional, Gu, Yu-Mei, additional, Torp-Pedersen, Christian, additional, Dolan, Eamon, additional, Kuznetsova, Tatiana, additional, Stolarz-Skrzypek, Katarzyna, additional, Tikhonoff, Valérie, additional, Schoen, Tobias, additional, Malyutina, Sofia, additional, Casiglia, Edoardo, additional, Nikitin, Yuri, additional, Lind, Lars, additional, Sandoya, Edgardo, additional, Kawecka-Jaszcz, Kalina, additional, Mena, Luis, additional, Maestre, Gladys E., additional, Filipovský, Jan, additional, Imai, Yutaka, additional, O’Brien, Eoin, additional, Wang, Ji-Guang, additional, Risch, Lorenz, additional, and Staessen, Jan A., additional
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- 2014
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48. Setting Thresholds to Varying Blood Pressure Monitoring Intervals Differentially Affects Risk Estimates Associated With White-Coat and Masked Hypertension in the Population
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Asayama, Kei, primary, Thijs, Lutgarde, additional, Li, Yan, additional, Gu, Yu-Mei, additional, Hara, Azusa, additional, Liu, Yan-Ping, additional, Zhang, Zhenyu, additional, Wei, Fang-Fei, additional, Lujambio, Inés, additional, Mena, Luis J., additional, Boggia, José, additional, Hansen, Tine W., additional, Björklund-Bodegård, Kristina, additional, Nomura, Kyoko, additional, Ohkubo, Takayoshi, additional, Jeppesen, Jørgen, additional, Torp-Pedersen, Christian, additional, Dolan, Eamon, additional, Stolarz-Skrzypek, Katarzyna, additional, Malyutina, Sofia, additional, Casiglia, Edoardo, additional, Nikitin, Yuri, additional, Lind, Lars, additional, Luzardo, Leonella, additional, Kawecka-Jaszcz, Kalina, additional, Sandoya, Edgardo, additional, Filipovský, Jan, additional, Maestre, Gladys E., additional, Wang, Jiguang, additional, Imai, Yutaka, additional, Franklin, Stanley S., additional, O’Brien, Eoin, additional, and Staessen, Jan A., additional
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- 2014
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49. Does blood pressure variability contribute to risk stratification? Methodological issues and a review of outcome studies based on home blood pressure
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Asayama, Kei, primary, Wei, Fang-Fei, additional, Liu, Yan-Ping, additional, Hara, Azusa, additional, Gu, Yu-Mei, additional, Schutte, Rudolph, additional, Li, Yan, additional, Thijs, Lutgarde, additional, and Staessen, Jan A, additional
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- 2014
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50. Doppler Indexes of Left Ventricular Systolic and Diastolic Flow and Central Pulse Pressure in Relation to Renal Resistive Index
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Kuznetsova, Tatiana, primary, Cauwenberghs, Nicholas, additional, Knez, Judita, additional, Thijs, Lutgarde, additional, Liu, Yan-Ping, additional, Gu, Yu-Mei, additional, and Staessen, Jan A., additional
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- 2014
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