20 results on '"Magvanjav, Oyunbileg"'
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2. Sibling composition during childhood and adult blood pressure among native Amazonians in Bolivia
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Zeng, Wu, Undurraga, Eduardo A., Nyberg, Colleen, Eisenberg, Dan T.A., Parida, Sabita, Zycherman, Ariela, Magvanjav, Oyunbileg, Reyes-García, Victoria, Tanner, Susan, and Godoy, Ricardo
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- 2013
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3. Pharmacogenetic Associations of β1-Adrenergic Receptor Polymorphisms With Cardiovascular Outcomes in the SPS3 Trial (Secondary Prevention of Small Subcortical Strokes)
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Magvanjav, Oyunbileg, McDonough, Caitrin W., Gong, Yan, McClure, Leslie A., Talbert, Robert L., Horenstein, Richard B., Shuldiner, Alan R., Benavente, Oscar R., Mitchell, Braxton D., and Johnson, Julie A.
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- 2017
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4. Assessing public and private sector contributions in reproductive health financing and utilization for six sub-Saharan African countries
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Nguyen, Ha, Snider, Jeremy, Ravishankar, Nirmala, and Magvanjav, Oyunbileg
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- 2011
5. Individual Wealth Rank, Community Wealth Inequality, and Self-Reported Adult Poor Health: A Test of Hypotheses with Panel Data (2002-2006) from Native Amazonians, Bolivia
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TAPS Bolivia Study Team, Undurraga, Eduardo A., Nyberg, Colleen, Eisenberg, Dan T. A., Magvanjav, Oyunbileg, Reyes-García, Victoria, Huanca, Tomás, Leonard, William R., McDade, Thomas W., Tanner, Susan, Vadez, Vincent, and Godoy, Ricardo
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- 2010
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6. Does the Future Affect the Present? The Effects of Future Weather on the Current Collection of Planted Crops and Wildlife in a Native Amazonian Society of Bolivia
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TAPS Bolivia Study Team, Godoy, Ricardo, Reyes-García, Victoria, Vadez, Vincent, Magvanjav, Oyunbileg, Leonard, William R., McDade, Thomas, Kumar, Sanjay, Iqbal, Javed, Wilkie, David, Tanner, Susan, and Huanca, Tomás
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- 2009
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7. Why no adult stunting penalty or height premium?: Estimates from native Amazonians in Bolivia
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Godoy, Ricardo, Magvanjav, Oyunbileg, Nyberg, Colleen, Eisenberg, Dan T.A., McDade, Thomas W., Leonard, William R., Reyes-García, Victoria, Huanca, Tomás, Tanner, Susan, and Gravlee, Clarence
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- 2010
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8. Gene-environment interactions and obesity traits among postmenopausal African-American and Hispanic women in the Women’s Health Initiative SHARe Study
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Velez Edwards, Digna R., Naj, Adam C., Monda, Keri, North, Kari E., Neuhouser, Marian, Magvanjav, Oyunbileg, Kusimo, Ibukun, Vitolins, Mara Z., Manson, JoAnn E., O’Sullivan, Mary Jo, Rampersaud, Evadnie, and Edwards, Todd L.
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- 2013
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9. Does the Future Affect the Present? The Effects of Future Weather on the Current Collection of Planted Crops and Wildlife in a Native Amazonian Society of Bolivia
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Godoy, Ricardo, Reyes-García, Victoria, Vadez, Vincent, Magvanjav, Oyunbileg, Leonard, William R., McDade, Thomas, Kumar, Sanjay, Iqbal, Javed, Wilkie, David, Tanner, Susan, Huanca, Tomás, and TAPS Bolivia Study Team
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- 2009
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10. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors
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Bakker, Mark K., van der Spek, Rick A.A., van Rheenen, Wouter, Morel, Sandrine, Bourcier, Romain, Hostettler, Isabel C., Alg, Varinder S., van Eijk, Kristel R., Koido, Masaru, Akiyama, Masato, Terao, Chikashi, Matsuda, Koichi, Walters, Robin G., Lin, Kuang, Li, Liming, Millwood, Iona Y., Chen, Zhengming, Rouleau, Guy A., Zhou, Sirui, Rannikmäe, Kristiina, Sudlow, Cathie L.M., Houlden, Henry, van den Berg, Leonard H., Dina, Christian, Naggara, Olivier, Gentric, Jean-Christophe, Shotar, Eimad, Eugène, François, Desal, Hubert, Winsvold, Bendik S., Børte, Sigrid, Johnsen, Marianne Bakke, Brumpton, Ben M., Sandvei, Marie Søfteland, Willer, Cristen J., Hveem, Kristian, Zwart, John-Anker, Verschuren, W. M. Monique, Friedrich, Christoph M., Hirsch, Sven, Schilling, Sabine, Dauvillier, Jérôme, Martin, Olivier, Martinsen, Amy E, Aamodt, Anne Hege, Skogholt, Anne Heidi, Sandset, Else Charlotte, Kristoffersen, Espen S, Ellekjaer, Hanne, Heuch, Ingrid, Nielsen, Jonas Bille, Hagen, Knut, Fritsche, Lars, Thomas, Laurent F., Pedersen, Linda, Gabrielsen, Maiken E, Vigeland, Maria Dehli, Holmen, Oddgeir, Zhou, Wei, Chen, Junshi, Chen (PI), Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li (PI), Liming, Liu, Depei, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gan, Wei, Gilbert, Simon, Hacker, Alex, Hill, Michael, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Lancaster, Garry, Lewington, Sarah, McDonnell, John, Millwood, Iona, Nie, Qunhua, Ryder, Paul, Sansome, Sam, Schmidt-Valle, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Bian, Zheng, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zou, Mingyuan, Yan, Shichun, Zhou, Xue, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Hua, Yujie, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Wang, Ping, Meng, Fanwen, Qin Sisi Wang, Yulu, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhou, Ding Zhang, Zhou, Gang, Feng, Shixian, Chang, Ling, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Zhang, Xukui, Wu, Huifang, Yu, Min, Hu, Ruying, Wang, Hao, Gong, Weiwei, Wang, Meng, Xie, Kaixu, Chen, Lingli, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Zhang, Libo, Nagai, Akiko, Muto, Kaori, Hirata, Makoto, Morisaki, Takayuki, Yamashita, Yasushi, Kamatani, Yoichiro, Kambara, Yoko, Murakami, Yoshinori, Masumoto, Akihide, Nagayama, Satoshi, Miki, Yoshio, Yoshimori, Kozo, Fujioka, Tomoaki, Takata, Ryo, Yamaji, Ken, Takahashi, Kazuhisa, Asai, Satoshi, Takahashi, Yasuo, Minami, Shiro, Yamaguchi, Hiroki, Koretsune, Yukihiro, Nishizawa, Yasuko, Kodama, Ken, Kutsumi, Hiromu, Suzuki, Takao, Sinozaki, Nobuaki, Murayama, Shigeo, Furukawa, Yoichi, Yamanashi, Yuji, Papagiannaki, Chrisanthi, Piotin, Michel, Trystram, Denis, Edjlali-Goujon, Myriam, Boulouis, Grégoire, Rodriguez, Christine, Hassen, Waghi Ben, Saleme, Suzanna, Mounayer, Charbel, Rouchaud, Aymeric, Levrier, Olivier, Aguettaz, Pierre, Combaz, Xavier, Pasco, Anne, l’Allinec, Vincent, Bintner, Marc, Molho, Marc, Pascale, Gauthier, Chivot, Cyril, Costalat, Vincent, Darganzil, Cyril, Bonafé, Alain, Januel, Anne Christine, Michelozzi, Caterina, Cognard, Christophe, Bonneville, Fabrice, Tall, Philippe, Darcourt, Jean, Biondi, Alessandra, Iosif, Cristina, Ferre, Jean Christophe, Gauvrit, Jean Yves, Eugene, François, Raoult, Hélène, Gentric, Jean Christophe, Ognard, Julien, Anxionnat, René, Gory, Benjamin, Bracard, Serge, Derelle, Anne Laure, Tonnelet, Romain, Spelle, Laurent, Ikka, Léon, Ozanne, Augustin, Gallas, Sophie, Caroff, Jildaz, Achour, Nidal Ben, Moret, Jacques, Chabert, Emmanuel, Berge, Jérôme, Marnat, Gaultier, Barreau, Xavier, Gariel, Florent, Clarencon, Frédéric, Aggour, Mohammed, Ricolfi, Frédéric, Chavent, Adrien, Thouant, Pierre, Lebidinsky, Pablo, Lemogne, Brivael, Herbreteau, Denis, Bibi, Richard, Janot, Kevin, Pierot, Laurent, Soize, Sébastien, Labeyrie, Marc Antoine, Vandendries, Christophe, Kazemi, Appoline, Leclerc, Xavier, Pruvo, Jean Pierre, Bricout, Nicolas, Velasco, Stéphane, Boucebci, Samy, Lemmens, Robin, Pandolfo, Massimo, Bodenant, Marie, Louillet, Fabien, Mas, Jean-Louis, Deltour, Sandrine, Leder, Sara, Léger, Anne, Canaple, Sandrine, Godefroy, Olivier, Giroud, Maurice, Jacquin, Agnès, Moulin, Thierry, Vuillier, Fabrice, Tzourio, Christophe, Santos, Michael Dos, Malik, Rainer, Hausser, Ingrid, Thomas-Feles, Constanze, Weber, Ralf, Grond-Ginsbach, Caspar, Hacke, Werner, Giossi, Alessia, Volonghi, Irene, Costa, Paolo, del Zotto, Elisabetta, Morotti, Andrea, Poli, Loris, Muiesan, Maria Lorenza, Salvetti, Massimo, Rosei, Enrico Agabiti, Lanfranconi, Silvia, Baron, Pierluigi, Ferrarese, Carlo, Susani, Emanuela, Giacalone, Giacomo, Paolucci, Stefano, Palmirotta, Raffaele, Guadagni, Fiorella, Paciaroni, Maurizio, Ballabio, Elena, Parati, Eugenio A., Fluri, Felix, Hatz, Florian, Gisler, Dominique, Amort, Margareth, Bevan, Steve, James, Tom, Olsson, Sandra, Holmegaard, Lukas, Altintas, Ayse, Martin, Juan José, Kittner, Steven, Mitchell, Braxton, Stine, Colin, O’Connell, Jeff, Dueker, Nicole, Koudstaal, Peter J., de Lau, Lonneke M.L., Hofman, Albert, Verhaaren, Benjamin F, Uitterlinden, Andre G, Montaner, Joan, Mendioroz, Maite, Yadav, Sunaina, Khan, Muhammad Saleem, Wilder, Michael, van Dijk, Ewoud, Maaijwee, Noortje, Rutten-Jacobs, Loes, Kramer, Jamie, Malik, Shaneela, Brott, Thomas G, Brown, Robert D, Singleton, Andrew, Hardy, John, Rich, Stephen S, Tanislav, Christian, Jungehülsing, Jan, Werring, David, Alg, Varinder, Hostettler, Isabel, Bonner, Stephen, Walsh, Daniel, Bulters, Diederik, Kitchen, Neil, Brown, Martin, Grieve, Joan, Roberts, Gareth, Jones, Timothy, Critchley, Giles, Sharma, Pankaj, Nelson, Richard, Whitfield, Peter, Ross, Stuart, Patel, Hiren, Eldridge, Paul, Saastamoinen, Kari, Patel, Umang, Lawrance, Enas, Vandabona, Subha, Mendelow, David, Teal, Rachel, Warner, Orlando, Kirkpatrick, Peter, Seshadri, Sudha, Kilarski, Laura, Hyacinth, Hyacinth I, Oliveira, Jamary, Marini, Sandro, Nyquist, Paul, Lewis, Cathryn, Norrving, Bo, Smith, Gustav, Rosand, Jonathan, Biffi, Alessandro, Kourkoulis, Christina, Anderson, Chris, Giese, Anne-Katrin, Bang, Oh Young, Chung, Jong-Won, Kim, Gyeong-Moon, Zhuang, Qishuai, Sheu, Wayne, Smalley, June, Howson, Joanna, Granata, Alessandra, Markus, Hugh, Wardlaw, Joanna, Cole, John, Thalamuthu, Anbupalam, Hopewell, Jemma, Worrall, Bradford, Bis, Josh, Tirschwell, David, Reiner, Alex, Dhar, Raj, Lee, Jin-Moo, Mortenson, Janne, Wassertheil-Smoller, Sylvia, Prasad, Kameshwar, Fisher, Mark, Traenka, Christopher, Wang, Xingwu, Wang, Yongjun, Rouanet, Francois, Sibon, Igor, Sarnowski, Chloé, Maillard, Pauline, Aparicio, Hugo Javier, Dupuis, Josee, Yang, Qiong, Luvizutto, Gustavo, Chasman, Daniel, Rexrode, Kathryn, Harriot, Andrea, Phuah, Chia-Ling, Santo, Gustavo, Gerard, Jen, Liu, Guiyou, Aaron, Sanjith, Christudass, Christhunesa S., Salomi, BSB, Sanghera, Dharambir, Boehme, Amelia, Elkind, Mitchell, Gretarsdottir, Solveig, Lange, Leslie, Rost, Natalia, James, Michael, Stewart, Jill, Goldstein, Larry, Waddy, Salina, Vojinovic, Dina, Ikram, Arfan, Thijs, Vincent, Parati, Eugenio, Boncoraglio, Giorgio, Kooperberg, Charles, Abboud, Sherrine, Zand, Ramin, Bijlenga, Philippe, Selim, Magdy, Happola, Olli, Strbian, Daniel, Tomppo, Liisa, Pathak, Abhishek, Pfeiffer, Dorothea, Aires, de Buenos, de Carvalho, Joao Jose Freitas, Ribeiro, Priscila, Torres, Nuria, Barboza, Miguel, Plomaritoglou, Androniki, Bjorkegren, Johan, Chan, Yu-Feng Yvonne, Gudnason, Villi, Jimenez-Conde, Jordi, Soriano, Carolina, Roquer, Jaume, Bentley, Paul, Tournier-Lasserve, Elisabeth, Dufouil, Carole, Debette, Stephanie, Mishra, Aniket, Wee, Lawrence, Siddiqi, Saima, Wu, Jer-Yuarn, Ko, Tai-Ming, Bione, Silvia, Jood, Katarina, Tatlisumak, Turgut, Arauz, Antonio, Korostynski, Michal, Launer, Lenore, Yue, Suo, bersano, anna, Juchniewicz, Karol Józef, Mateusz, Adamski, Pera, Joanna, Wnuk, Marcin, Levi, Christopher, Gusdon, Aaron, Kostulas, Konstantinos, Maxwell, Jessye, Duering, Marco, Jagiella, Jeremiasz, Hata, Jun, Ninomiya, Toshiharu, Nguyen, Vinh, Thorarinsson, Bjorn Logi, Lee, Tsong-Hai, Rakitko, Alexandr, Dichgans, Martin, Lindgren, Arne, Wasselius, Johan, Drake, Mattias, Stenman, Martin, Ilinca, Andreea, Staals, Julie, Sadr-Nabavi, Ariane, Crawford, Katherine, Lena, Umme, Mateen, Farrah, Ay, Hakan, Wu, Ona, Schirmer, Markus, Romero, Javier, Cramer, Steve, Golland, Polina, Mueller, Bertram, Brown, Robert, Meschia, James, Ross, Owen A., Pare, Guillaume, Chong, Mike, mansour, Ossama yassin, Karaszewski, Bartosz, Enzinger, Christian, Schmidt, Reinhold, Seiler, Stephan, Pichler, Alexander, Ovbiagele, Bruce, Yamada, Yoshiji, Rundek, Tatjana, Blanton, Susan, P, John, Chern, Joseph, O'Donnell, Chris, Corriveau, Roderick, Bhattacharya, Pallab, Gwinn, Katrina, CHANDRA, BHARATENDU, Chen, Christopher, Kalaria, Raj, Koenig, Jim, Singh, Om Prakash, Olugbodi, Akintomi, Giralt, Eva, Saleheen, Danish, de Leeuw, Frank-Erik, Klijn, Karin, Olesen, Jes, Kubo, Michiaki, Spence, David, Pedersen, Annie, Olsson, Maja, Martín, Juan José, Braga, Gabriel, Xu, Huichun, Assimes, Tim, Raskurazhev, Anton, Lee, Wei Ling, Burri, Philippe, Frid, Petrea, GmbH, Heilbronn, Deng, Zhen, Habibi-koolaee, Mahdi, Vijayan, Murali, Leung, Thomas, Wong, Lawrence, Mok, Vincent, Choy, Richard, Jern, Christina, Lebedeva, Elena, Farrall, Martin, Jiayuan, Xu, Loo, Keat Wei, Rinkel, Gabriel, Magnus, Rudolf, Goncalves, Anderson, Franca, Paulo, Cendes, Iscia, Carrera, Caty, Fernandez-Cadenas, Israel, Kim, Helen, Rolfs, Arndt, Owolabi, Mayowa, Bakker, Mark, Ruigrok, Ynte, Hauer, Allard, Pulit, Sara L., Algra, Ale, van der Laan, Sander W., Macleod, Mary, Howard, George, Tiwari, Hemant, Irvin, Ryan, Albright, Karen C., Perry, Rodney, Kidwell, Chelsea, Pavlovic, Aleksandra, Sargurupremraj, Murali, Schilling, Sabrina, Pezzini, Alessandro, Abd-Allah, Foad, DeCarli, Charles, Liebeskind, David, Traylor, Matthew, Tan, Rhea, Danesh, John, Larsson, Susanna C., Rutten, Loes, Donatti, Amanda, Avelar, Wagner, Broderick, Joseph, Woo, Daniel, Kissela, Brett, Ibenez, Laura Garcia, Salman, Rustam, Sudlow, Cathie, McDonough, Caitrin Wheeler, Silliman, Scott, Magvanjav, Oyunbileg, van Agtmael, Tom, Walters, Matthew, Lorentzen, Erik, Stanne, Tara, Olsson, Martina, Nakagawa, Kazuma, Akinyemi, Rufus, Cotlatciuc, Ioana, O'Connell, Jeff, Sparks, Mary, Sorkin, John, Dave, Tushar, Naylor, Jill, Brown, Devin, Du, Rose, Kulik, Tobias B., Attia, John, Faber, James E, Rothwell, Peter, Márquez, Elsa Valdés, Mancuso, Michelangelo, Souza, Doralina Brum, de Silva, Ranil, Vibo, Riina, Korv, Janika, Maguire, Jane, Fornage, Myriam, Illoh, Kachikwu, Milewicz, Dianna, Majersik, Jennifer, DeHavenon, Adam, Kalani, Yashar, Alexander, Matthew, Cushman, Mary, Sale, Michele, Owens, Debra, Keene, Keith, Rich, Stephe, Psaty, Bruce, Longstreth, Will, Atadzhanov, Masharip, Wolfe, Stacey Quintero, Langefeld, Carl, Bushnell, Cheryl, Cruchaga, Carlos, Konrad, Jan, Liu, Junfeng, Sheth, Kevin, Falcone, Guido, Donahue J, Kathleen, Jones, Gregory T., Bown, Matthew J., Ko, Nerissa U., Coleman, Jonathan R.I., Breen, Gerome, Zaroff, Jonathan G., Klijn, Catharina J.M., Sargurupremraj, Muralidharan, Amouyel, Philippe, Debette, Stéphanie, Rinkel, Gabriel J.E., Worrall, Bradford B., Slowik, Agnieszka, Gaál-Paavola, Emilia I., Niemelä, Mika, Jääskeläinen, Juha E., von Und Zu Fraunberg, Mikael, Lindgren, Antti, Broderick, Joseph P., Werring, David J., Redon, Richard, Veldink, Jan H., Ruigrok, Ynte M., Stroke, HUNT All-In, Group, China Kadoorie Biobank Collaborative, Consortium, BioBank Japan Project, Group, ICAN Study, Group, CADISP, investigators, Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study, (ISGC), International Stroke Genetics Consortium, Morel, Sandrine, and Bijlenga, Philippe Alexandre Pierre
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genetics [Blood Pressure] ,Medizin ,Genome-wide association study ,Blood Pressure ,Disease ,ddc:616.07 ,Bioinformatics ,616: Innere Medizin und Krankheiten ,0302 clinical medicine ,Risk Factors ,physiopathology [Hypertension] ,genetics [Genetic Predisposition to Disease] ,Genetic risk factor ,Stroke ,0303 health sciences ,Smoking ,genetics [Smoking] ,genetics [Intracranial Aneurysm] ,Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3] ,Cerebrovascular disorder ,3. Good health ,genetics [European Continental Ancestry Group] ,Hypertension ,genetics [Polymorphism, Single Nucleotide] ,Subarachnoid hemorrhage ,pathology [Intracranial Aneurysm] ,genetics [White People] ,Biology ,Genetic correlation ,pathology [Endothelial Cells] ,Polymorphism, Single Nucleotide ,Article ,White People ,03 medical and health sciences ,Aneurysm ,Asian People ,ddc:570 ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,cardiovascular diseases ,030304 developmental biology ,genetics [Subarachnoid Hemorrhage] ,genetics [Asian Continental Ancestry Group] ,572: Biochemie ,genetics [Asian People] ,pathology [Subarachnoid Hemorrhage] ,adverse effects [Smoking] ,Endothelial Cells ,Subarachnoid Hemorrhage ,medicine.disease ,Intracranial aneurysm ,Genetic architecture ,ddc:616.8 ,Case-Control Studies ,genetics [Hypertension] ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
An author correction to this article published in December 2020 is available at https://doi.org/10.1038/s41588-020-00760-4. Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.
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- 2021
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11. Pharmacogenetic associations of β1-adrenergic receptor polymorphisms with cardiovascular outcomes in the SPS3 trial
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Magvanjav, Oyunbileg, McDonough, Caitrin W., Gong, Yan, McClure, Leslie A., Talbert, Robert L., Horenstein, Richard B., Shuldiner, Alan R., Benavente, Oscar R., Mitchell, Braxton D., and Johnson, Julie A.
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Male ,Polymorphism, Genetic ,Adrenergic beta-Antagonists ,Myocardial Infarction ,Middle Aged ,Article ,Brain Ischemia ,Stroke ,Pharmacogenetics ,Secondary Prevention ,Humans ,Female ,Receptors, Adrenergic, beta-1 ,Aged ,Follow-Up Studies - Abstract
Functional polymorphisms (Ser49Gly and Arg389Gly) inNine hundred and twenty-six participants of the SPS3 trial's (Secondary Prevention of Small Subcortical Strokes) genetic substudy with hypertension were included. MACE included stroke, myocardial infarction, and all-cause death. Kaplan-Meier and multivariable Cox regression analyses were used. Because the primary component of MACE was ischemic stroke, we tested the association of Ser49Gly with ischemic stroke among 41 475 individuals of European and African ancestry in the NINDS (National Institute of Neurological Disorders and Stroke) SiGN (Stroke Genetics Network).MACE was higher in carriers of the Gly49 allele than in those with the Ser49Ser genotype (10.5% versus 5.4%, log-rankAmong individuals with previous small artery ischemic stroke, theURL: http://www.clinicaltrials.gov. Unique identifier: NCT00059306.
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- 2017
12. Combination Antihypertensive Therapy Prescribing and Blood Pressure Control in a Real-World Setting.
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Magvanjav, Oyunbileg, Cooper-Dehoff, Rhonda M, McDonough, Caitrin W, Gong, Yan, Hogan, William R, and Johnson, Julie A
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BLOOD pressure ,HYPERTENSION ,ELECTRONIC health records ,DISEASE complications ,HYPERTENSIVE crisis ,MYOCARDIAL infarction - Abstract
BACKGROUND Specific combinations of two drug classes are recommended in a variety of clinical situations in the management of hypertension. These preferred combinations are based on complimentary blood pressure (BP) lowering mechanisms or benefit for a concomitant disease. METHODS Using electronic health records (EHRs) data from 27,579 ambulatory hypertensive patients, we investigated antihypertensive therapy prescribing patterns and associations of preferred two drug classes with BP control. RESULTS Overall, BP control, defined as BP <140/90 mm Hg, was 65% among treated patients. Preferred dual antihypertensive therapy was prescribed in 55% of patients with uncomplicated hypertension, 49% of patients with diabetes, and 47% of patients with a history of myocardial infarction (MI); these prescribing frequencies of preferred combinations were not explained by worse BP control on those combinations. In fact, we found suggestive evidence of association between prescribing of preferred two drug classes and improved BP control among post-MI (OR: 1.21, 95% CI: 0.99–1.48, P = 0.061) and uncomplicated hypertensive (OR: 1.11, 95% CI: 0.98–1.26, P = 0.089) patients. CONCLUSIONS Prescribing of guideline-recommended antihypertensive drug classes for concomitant diseases is suboptimal and prescribing of preferred/optimized drug class combinations was moderate. We did not find a clear association between the use of optimized drug class combinations and greater BP control. Overall, using EHR data, we identified potential opportunities for re-examining prescribing practices with implications for clinical decision support and healthcare improvement at the community and health system-wide levels. [ABSTRACT FROM AUTHOR]
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- 2020
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13. Individual wealth rank, community wealth inequality, and self-reported adult poor health: a test of hypotheses with panel data (2002-2006) from native Amazonians, Bolivia
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Undurraga, Eduardo A., Nyberg, Colleen, Eisenberg, Dan T.A., Magvanjav, Oyunbileg, Reyes-Garcia, Victoria, Huanca, Tomas, Leonard, William R., McDade, Thomas W., Tanner, Susan, Vadez, Vincent, and Godoy, Ricardo
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Equality -- Economic aspects ,Equality -- Social aspects ,Wealth -- Economic aspects ,Wealth -- Analysis ,Social classes -- Economic aspects ,Social classes -- Health aspects ,Human biology -- Analysis ,Anthropology -- Research ,Anthropology/archeology/folklore ,Health - Published
- 2010
14. Short but catching up: statural growth among native Amazonian Bolivian children
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Godoy, Ricardo, Nyberg, Colleen, Eisenberg, Dan T.A., Magvanjav, Oyunbileg, Shinnar, Eliezer, Leonard, William R., Gravlee, Clarence, Reyes-Garcia, Victoria, Mcdade, Thomas W., Huanca, Tomas, and Tanner, Susan
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Child development -- Research ,Public health -- Management ,Company business management ,Biological sciences - Published
- 2010
15. Antihypertensive therapy prescribing patterns and correlates of blood pressure control among hypertensive patients with chronic kidney disease.
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Magvanjav, Oyunbileg, Cooper‐DeHoff, Rhonda M., McDonough, Caitrin W., Gong, Yan, Segal, Mark S., Hogan, William R., Johnson, Julie A., and Cooper-DeHoff, Rhonda M
- Abstract
We used electronic health records (EHRs) data from 5658 ambulatory chronic kidney disease (CKD) patients with hypertension and prescribed antihypertensive therapy to examine antihypertensive drug prescribing patterns, blood pressure (BP) control, and risk factors for resistant hypertension (RHTN) in a real-world setting. Two-thirds of CKD patients and three-fourths of those with proteinuria were prescribed guideline-recommended renoprotective agents including an angiotensin-converting enzyme inhibitor (ACEI) or an angiotensin receptor blocker (ARB); however, one-third were not prescribed an ACEI or ARB. CKD patients, particularly those with stages 1-2 CKD, who were prescribed regimens including beta-blocker (BB) + diuretic or ACEI/ARB + BB + diuretic were more likely to have controlled BP (<140/90 mm Hg) compared to those prescribed other combinations. Risk factors for RHTN included African American race and major comorbidities. Clinicians may use these findings to tailor antihypertensive therapy to the needs of each patient, including providing CKD stage-specific treatment, and better identify CKD patients at risk of RHTN. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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16. Genetic Variants Associated With Uncontrolled Blood Pressure on Thiazide Diuretic/β-Blocker Combination Therapy in the PEAR (Pharmacogenomic Evaluation of Antihypertensive Responses) and INVEST (International Verapamil-SR Trandolapril Study) Trials.
- Author
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Magvanjav, Oyunbileg, Gong, Yan, McDonough, Caitrin W., Chapman, Arlene B., Turner, Stephen T., Gums, John G., Bailey, Kent R., Boerwinkle, Eric, Beitelshees, Amber L., Tanaka, Toshihiro, Kubo, Michiaki, Pepine, Carl J., Cooper‐DeHoff, Rhonda M., Johnson, Julie A., and Cooper-DeHoff, Rhonda M
- Published
- 2017
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17. Sibling composition and children's anthropometric indicators of nutritional status: Evidence from native Amazonians in Bolivia.
- Author
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Magvanjav, Oyunbileg, Undurraga, Eduardo A., Eisenberg, Dan T. A., Zeng, Wu, Dorjgochoo, Tsogzolmaa, Leonard, William R., and Godoy, Ricardo A.
- Abstract
Background: Siblings compete for parental resources. Little is known about how sibling composition (older sisters, older brothers, younger sisters, younger brothers) might affect child anthropometric indicators of nutritional status. Aim: This study evaluates the associations between sibling composition and child anthropometry using panel data from a native Amazonian society (Tsimane'). Methods: Anthropometry of ∼168 girls and 169 boys aged 2-9 years were measured annually during 2002-2007 (2360 observations). Children's weight-for-height Z-score (WHZ), mid-upper arm circumference (MUAC), mid-upper arm muscle area (AMA) and triceps skin-fold thickness (TST) were regressed separately against all of the sibling composition variables while controlling for child's age and survey year. Multivariate panel linear regressions were used with individual, village, survey year and village-year fixed-effects, clustering by household. Results: Among girls, an additional older brother was associated with a 1.4% decrease in MUAC ( p < 0.01) and a 4.3% decrease in AMA ( p < 0.01); an additional younger sister was associated with a 6.3% decrease in TST ( p < 0.01). The association between sibling composition and arm anthropometry was robust to various model specifications. Conclusion: Older brothers and younger sisters were negatively associated with arm measures in girls. This finding may help improve policy interventions that aim to address children's nutritional health and long-term well-being. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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18. Human's Cognitive Ability to Assess Facial Cues from Photographs: A Study of Sexual Selection in the Bolivian Amazon.
- Author
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Undurraga, Eduardo A., Eisenberg, Dan T. A., Magvanjav, Oyunbileg, Ruoxue Wang, Leonard, William R., McDade, Thomas W., Reyes-Garci'a, Victoria, Nyberg, Colleen, Tanner, Susan, Huanca, Tomás, and Godoy, Ricardo A.
- Subjects
FACE perception ,COGNITIVE ability ,CHIMANE (South American people) ,BIOLOGICAL evolution ,SOCIABILITY ,NATURAL selection ,HUMAN sexuality ,HEALTH ,AGGRESSION (Psychology) - Abstract
Background: Evolutionary theory suggests that natural selection favors the evolution of cognitive abilities which allow humans to use facial cues to assess traits of others. The use of facial and somatic cues by humans has been studied mainly in western industrialized countries, leaving unanswered whether results are valid across cultures. Methodology/Principal Findings: Our objectives were to test (i) if previous finding about raters' ability to get accurate information about an individual by looking at his facial photograph held in low-income non western rural societies and (ii) whether women and men differ in this ability. To answer the questions we did a study during July-August 2007 among the Tsimane', a native Amazonian society of foragers-farmers in Bolivia. We asked 40 females and 40 males 16-25 years of age to rate four traits in 93 facial photographs of other Tsimane' males. The four traits were based on sexual selection theory, and included health, dominance, knowledge, and sociability. The rating scale for each trait ranged from one (least) to four (most). The average rating for each trait was calculated for each individual in the photograph and regressed against objective measures of the trait from the person in the photograph. We found that (i) female Tsimane' raters were able to assess facial cues related to health, dominance, and knowledge and (ii) male Tsimane' raters were able to assess facial cues related to dominance, knowledge, and sociability. Conclusions/Significance: Our results support the existence of a human ability to identify objective traits from facial cues, as suggested by evolutionary theory. [ABSTRACT FROM AUTHOR]
- Published
- 2010
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19. Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses).
- Author
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McDonough, Caitrin W., Magvanjav, Oyunbileg, Sá, Ana C.C., El Rouby, Nihal M., Dave, Chintan, Deitchman, Amelia N., Kawaguchi-Suzuki, Marina, Mei, Wenbin, Shen, Yong, Singh, Ravi Shankar Prasad, Solayman, Mohamed, Bailey, Kent R., Boerwinkle, Eric, Chapman, Arlene B., Gums, John G., Webb, Amy, Scherer, Steven E., Sadee, Wolfgang, Turner, Stephen T., and Cooper-DeHoff, Rhonda M.
- Abstract
Supplemental Digital Content is available in the text. Background: Plasma renin is an important regulator of blood pressure (BP). Plasma renin activity (PRA) has been shown to correlate with variability in BP response to antihypertensive agents. We conducted a genome-wide association study to identify single-nucleotide polymorphisms (SNPs) associated with baseline PRA using data from the PEAR study (Pharmacogenomic Evaluation of Antihypertensive Responses). Methods: Multiple linear regression analysis was performed in 461 whites and 297 blacks using an additive model, adjusting for age, sex, and ancestry-specific principal components. Top SNPs were prioritized by testing the expected direction of association for BP response to atenolol and hydrochlorothiazide. Top regions from the BP response prioritization were tested for functional evidence through differences in gene expression by genotype using RNA sequencing data. Regions with functional evidence were assessed for replication with baseline PRA in an independent study (PEAR-2). Results: Our top SNP rs3784921 was in the
SNN-TXNDC11 gene region. The G allele of rs3784921 was associated with higher baseline PRA (β=0.47;P =2.09×10−6 ) and smaller systolic BP reduction in response to hydrochlorothiazide (β=2.97; 1-sidedP =0.006). In addition,TXNDC11 expression differed by rs3784921 genotype (P =0.007), and rs1802409, a proxy SNP for rs3784921 (r 2 =0.98–1.00), replicated in PEAR-2 (β=0.15; 1-sidedP =0.038). Additional SNPs associated with baseline PRA that passed BP response prioritization were in/near the genesCHD9, XIRP2 , andGHR. Conclusions: We identified multiple regions associated with baseline PRA that were prioritized through BP response signals to 2 mechanistically different antihypertensive drugs. Clinical Trial Registration: URL:https://www.clinicaltrials.gov . Unique identifier: NCT00246519. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
- View/download PDF
20. Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses).
- Author
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McDonough CW, Magvanjav O, Sá ACC, El Rouby NM, Dave C, Deitchman AN, Kawaguchi-Suzuki M, Mei W, Shen Y, Singh RSP, Solayman M, Bailey KR, Boerwinkle E, Chapman AB, Gums JG, Webb A, Scherer SE, Sadee W, Turner ST, Cooper-DeHoff RM, Gong Y, and Johnson JA
- Subjects
- Adolescent, Adult, Aged, Blood Pressure genetics, Genome-Wide Association Study, Humans, Hypertension blood, Hypertension genetics, Hypertension physiopathology, Male, Middle Aged, Prospective Studies, Renin genetics, Treatment Outcome, United States, Young Adult, Antihypertensive Agents therapeutic use, Atenolol therapeutic use, Blood Pressure drug effects, Hydrochlorothiazide therapeutic use, Hypertension drug therapy, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Renin blood
- Abstract
Background: Plasma renin is an important regulator of blood pressure (BP). Plasma renin activity (PRA) has been shown to correlate with variability in BP response to antihypertensive agents. We conducted a genome-wide association study to identify single-nucleotide polymorphisms (SNPs) associated with baseline PRA using data from the PEAR study (Pharmacogenomic Evaluation of Antihypertensive Responses)., Methods: Multiple linear regression analysis was performed in 461 whites and 297 blacks using an additive model, adjusting for age, sex, and ancestry-specific principal components. Top SNPs were prioritized by testing the expected direction of association for BP response to atenolol and hydrochlorothiazide. Top regions from the BP response prioritization were tested for functional evidence through differences in gene expression by genotype using RNA sequencing data. Regions with functional evidence were assessed for replication with baseline PRA in an independent study (PEAR-2)., Results: Our top SNP rs3784921 was in the SNN-TXNDC11 gene region. The G allele of rs3784921 was associated with higher baseline PRA (β=0.47; P =2.09×10
-6 ) and smaller systolic BP reduction in response to hydrochlorothiazide (β=2.97; 1-sided P =0.006). In addition, TXNDC11 expression differed by rs3784921 genotype ( P =0.007), and rs1802409, a proxy SNP for rs3784921 ( r2 =0.98-1.00), replicated in PEAR-2 (β=0.15; 1-sided P =0.038). Additional SNPs associated with baseline PRA that passed BP response prioritization were in/near the genes CHD9, XIRP2, and GHR. CONCLUSIONS: We identified multiple regions associated with baseline PRA that were prioritized through BP response signals to 2 mechanistically different antihypertensive drugs., Clinical Trial Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT00246519., (© 2018 American Heart Association, Inc.)- Published
- 2018
- Full Text
- View/download PDF
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