100 results on '"Sanghera, Dharambir K."'
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2. Contribution of circulating Mfge8 to human T2DM and cardiovascular disease
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Rout, Madhusmita, Malone-Perez, Megan W., Park, Gilseung, Lerner, Megan, Kimble Frazer, J., Apple, Blair, Vaughn, April, Payton, Marvin, Stavrakis, Stavros, Sidorov, Evgeny, Fung, KarMing A., and Sanghera, Dharambir K.
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- 2024
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3. Targeting IL-23 for the interception of obesity-associated colorectal cancer
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Madka, Venkateshwar, Chiliveru, Srikanth, Panneerselvam, Janani, Pathuri, Gopal, Zhang, Yuting, Stratton, Nicole, Kumar, Nandini, Sanghera, Dharambir K., and Rao, Chinthalapally V.
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- 2023
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4. Difference in acute and chronic stage ischemic stroke metabolic markers with controls
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Sidorov, Evgeny V., Rout, Madhusmita, Xu, Chao, Jordan, Larsen, Fields, Evan, Apple, Blair, Smith, Kyle, Gordon, David, Chainakul, Juliane, and Sanghera, Dharambir K.
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- 2023
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5. A saturated map of common genetic variants associated with human height
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Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S., Akiyama, Masato, Allison, Matthew A., Alvarez, Marcus, Andersen, Mette K., Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F., Bollepalli, Sailalitha, Bonnycastle, Lori L., Bork-Jensen, Jette, Bradfield, Jonathan P., Bradford, Yuki, Braund, Peter S., Brody, Jennifer A., Burgdorf, Kristoffer S., Cade, Brian E., Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E. Warwick, Degenhard, Frauke, Delgado, Graciela E., Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B., Engmann, Jorgen E., Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D., Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E., Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P., Goel, Anuj, Gordon, Scott D., Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F., Havulinna, Aki S., Haworth, Simon J., He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A., Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E., Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E., Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D., Isono, Masato, Jackson, Anne U., Jäger, Susanne, Jansen, Iris E., Johansson, Ingegerd, Jonas, Jost B., Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L., Kentistou, Katherine A., Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E., Knol, Maria J., Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L., Li, Shengchao A., Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian’an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F., Meidtner, Karina, Melendez, Tori L., Mercader, Josep M., Milaneschi, Yuri, Miller, Jason E., Millwood, Iona Y., Mishra, Pashupati P., Mitchell, Ruth E., Møllehave, Line T., Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P., Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A., Nolte, Ilja M., Nongmaithem, Suraj S., Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R. B., Petersen, Liselotte V., Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H., Pyarajan, Saiju, Raffield, Laura M., Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W., Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E., Ryan, Kathleen A., Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M., Slieker, Roderick C., Smit, Roelof A. J., Smith, Albert V., Smith, Jennifer A., Smyth, Laura J., Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D., Tayo, Bamidele O., Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J., Thorleifsson, Gudmar, Timmers, Paul R. H. J., Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W., van der Most, Peter J., van Klinken, Jan B., van Setten, Jessica, Verma, Shefali S., Verweij, Niek, Veturi, Yogasudha, Wang, Carol A., Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R., Bin Wei, Wen, Wickremasinghe, Ananda R., Wielscher, Matthias, Wiggins, Kerri L., Winsvold, Bendik S., Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A., Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E., Zoledziewska, Magdalena, Adair, Linda S., Adams, Hieab H. H., Aguilar-Salinas, Carlos A., Al-Mulla, Fahd, Arnett, Donna K., Asselbergs, Folkert W., Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A., Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A., Bønnelykke, Klaus, Boomsma, Dorret I., Børglum, Anders D., Borja, Judith B., Bouchard, Claude, Bowden, Donald W., Brandslund, Ivan, Brumpton, Ben, Buring, Julie E., Caulfield, Mark J., Chambers, John C., Chandak, Giriraj R., Chanock, Stephen J., Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E., Ciullo, Marina, Cole, John W., Collins, Francis S., Cooper, Richard S., Cruz, Miguel, Cucca, Francesco, Cupples, L. Adrienne, Cutler, Michael J., Damrauer, Scott M., Dantoft, Thomas M., de Borst, Gert J., de Groot, Lisette C. P. G. M., De Jager, Philip L., de Kleijn, Dominique P. V., Janaka de Silva, H., Dedoussis, George V., den Hollander, Anneke I., Du, Shufa, Easton, Douglas F., Elders, Petra J. M., Eliassen, A. Heather, Ellinor, Patrick T., Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K., Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F., Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W., Freedman, Barry I., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E., Golightly, Yvonne M., Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F. A., Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayward, Caroline, Heckbert, Susan R., Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W., Hishigaki, Haretsugu, Hoyng, Carel B., Huang, Paul L., Huang, Wei, Hunt, Steven C., Hveem, Kristian, Hyppönen, Elina, Iacono, William G., Ichihara, Sahoko, Ikram, M. Arfan, Isasi, Carmen R., Jackson, Rebecca D., Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V., Khor, Chiea Chuen, Kiemeney, Lambertus A. L. M., Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A., Kolovou, Genovefa D., Kooner, Jaspal S., Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M., Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A., Langenberg, Claudia, Launer, Lenore J., Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R., Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A., Lye, Stephen J., Mackey, David A., Mägi, Reedik, Magnusson, Patrik K. E., Marcus, Gregory M., Vidal, Pedro Marques, Martin, Nicholas G., März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W., McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E., Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D., Mitchell, Paul, Mook-Kanamori, Dennis O., Morris, Andrew D., Mucci, Lorelei A., Munroe, Patricia B., Nalls, Mike A., Nazarian, Saman, Nelson, Amanda E., Neville, Matt J., Newton-Cheh, Christopher, Nielsen, Christopher S., Nöthen, Markus M., Ohlsson, Claes, Oldehinkel, Albertine J., Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N. A., Parra, Esteban J., Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E., Penninx, Brenda W. J. H., Perusse, Louis, Peters, Annette, Peyser, Patricia A., Porteous, David J., Posthuma, Danielle, Power, Chris, Pramstaller, Peter P., Province, Michael A., Qi, Qibin, Qu, Jia, Rader, Daniel J., Raitakari, Olli T., Ralhan, Sarju, Rallidis, Loukianos S., Rao, Dabeeru C., Redline, Susan, Reilly, Dermot F., Reiner, Alexander P., Rhee, Sang Youl, Ridker, Paul M., Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D., Roden, Dan M., Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sanghera, Dharambir K., Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B., Schunkert, Heribert, Scott, Laura J., Scott, Rodney J., Sever, Peter, Shiroma, Eric J., Shoemaker, M. Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M., Sims, Mario, Singh, Jai Rup, Singleton, Andrew B., Sinner, Moritz F., Smith, J. Gustav, Snieder, Harold, Spector, Tim D., Stampfer, Meir J., Stark, Klaus J., Strachan, David P., ‘t Hart, Leen M., Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A., Timpson, Nicholas J., Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G., van Dam, Rob M., van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M., van Schoor, Natasja M., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H., Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J., Watanabe, Richard M., Watkins, Hugh, Weir, David R., Werge, Thomas M., Widen, Elisabeth, Wilkens, Lynne R., Willemsen, Gonneke, Willett, Walter C., Wilson, James F., Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F., Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S., Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S., Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M., Zonderman, Alan B., Zwart, John-Anker, Chasman, Daniel I., Cho, Yoon Shin, Heid, Iris M., McCarthy, Mark I., Ng, Maggie C. Y., O’Donnell, Christopher J., Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V., Tai, E. Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E., Lindgren, Cecilia M., Loos, Ruth J. F., Mohlke, Karen L., North, Kari E., Stefansson, Kari, Walters, Robin G., Winkler, Thomas W., Young, Kristin L., Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L., Auton, Adam, Abecasis, Goncalo R., Willer, Cristen J., Locke, Adam E., Berndt, Sonja I., Lettre, Guillaume, Frayling, Timothy M., Okada, Yukinori, Wood, Andrew R., Visscher, Peter M., and Hirschhorn, Joel N.
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- 2022
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6. Discovery and validation of circulating stroke metabolites by NMR-based analyses using patients from the MISS and UK Biobank
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Rout, Madhusmita, Vaughan, April, Blair, Apple, Stavrakis, Stavros, Sidorov, Evgeny V., and Sanghera, Dharambir K.
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- 2023
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7. Multi‐phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations
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Temprano‐Sagrera, Gerard, Sitlani, Colleen M., Bone, William P., Martin‐Bornez, Miguel, Voight, Benjamin F., Morrison, Alanna C., Damrauer, Scott M., de Vries, Paul S., Smith, Nicholas L., Sabater‐Lleal, Maria, Dehghan, Abbas, Heath, Adam S, Morrison, Alanna C, Reiner, Alex P, Johnson, Andrew, Richmond, Anne, Peters, Annette, van Hylckama Vlieg, Astrid, McKnight, Barbara, Psaty, Bruce M, Hayward, Caroline, Ward‐Caviness, Cavin, O’Donnell, Christopher, Chasman, Daniel, Strachan, David P, Tregouet, David A, Mook‐Kanamori, Dennis, Gill, Dipender, Thibord, Florian, Asselbergs, Folkert W, Leebeek, Frank W.G., Rosendaal, Frits R, Davies, Gail, Homuth, Georg, Temprano, Gerard, Campbell, Harry, Taylor, Herman A, Bressler, Jan, Huffman, Jennifer E, Rotter, Jerome I, Yao, Jie, Wilson, James F, Bis, Joshua C, Hahn, Julie M, Desch, Karl C, Wiggins, Kerri L, Raffield, Laura M, Bielak, Lawrence F, Yanek, Lisa R, Kleber, Marcus E, Mueller, Martina, Kavousi, Maryam, Mangino, Massimo, Liu, Melissa, Brown, Michael R, Conomos, Matthew P, Jhun, Min‐A, Chen, Ming‐Huei, de Maat, Moniek P.M., Pankratz, Nathan, Smith, Nicholas L, Peyser, Patricia A, Elliot, Paul, de Vries, Paul S, Wei, Peng, Wild, Philipp S, Morange, Pierre E, van der Harst, Pim, Yang, Qiong, Le, Ngoc‐Quynh, Marioni, Riccardo, Li, Ruifang, Damrauer, Scott M, Cox, Simon R, Trompet, Stella, Felix, Stephan B, Völker, Uwe, Tang, Weihong, Koenig, Wolfgang, Jukema, J. Wouter, Guo, Xiuqing, Lindstrom, Sara, Wang, Lu, Smith, Erin N, Gordon, William, de Andrade, Mariza, Brody, Jennifer A, Pattee, Jack W, Haessler, Jeffrey, Brumpton, Ben M, Chasman, Daniel I, Suchon, Pierre, Turman, Constance, Germain, Marine, MacDonald, James, Braekkan, Sigrid K, Armasu, Sebastian M, Jackson, Rabecca D, Nielsen, Jonas B, Giulianini, Franco, Puurunen, Marja K, Ibrahim, Manal, Heckbert, Susan R, Bammler, Theo K, Frazer, Kelly A, McCauley, Bryan M, Taylor, Kent, Pankow, James S, Reiner, Alexander P, Gabrielsen, Maiken E, Deleuze, Jean‐François, O’Donnell, Chris J, Kim, Jihye, Kraft, Peter, Hansen, John‐Bjarne, Heit, John A, Kooperberg, Charles, Hveem, Kristian, Ridker, Paul M, Morange, Pierre‐Emmanuel, Johnson, Andrew D, Kabrhel, Christopher, Trégouët, David‐Alexandre, Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten‐Jacobs, Loes, Giese, Anne‐Katrin, van der Laan, Sander W, Gretarsdottir, Solveig, Anderson, Christopher D, Chong, Michael, Adams, Hieab HH, Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M, Benavente, Oscar R, Bevan, Steve, Boncoraglio, Giorgio B, Brown, Robert D, Butterworth, Adam S, Carrera, Caty, Carty, Cara L, Chen, Wei‐Min, Cole, John W, Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul IW, DeStefano, Anita L, den Hoed, Marcel, Duan, Qing, Engelter, Stefan T, Falcone, Guido J, Gottesman, Rebecca F, Grewal, Raji P, Gudnason, Vilmundur, Gustafsson, Stefan, Harris, Tamara B, Hassan, Ahamad, Havulinna, Aki S, Holliday, Elizabeth G, Howard, George, Hsu, Fang‐Chi, Hyacinth, Hyacinth I, Arfan Ikram, M, Ingelsson, Erik, Irvin, Marguerite R, Jian, Xueqiu, Jiménez‐Conde, Jordi, Johnson, Julie A, Jukema, J Wouter, Kanai, Masahiro, Keene, Keith L, Kissela, Brett M, Kleindorfer, Dawn O, Kubo, Michiaki, Lange, Leslie A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Jin‐Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M, Lin, Wei‐Yu, Lindgren, Arne G, Lorentzen, Erik, Magnusson, Patrik K, Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F, Meschia, James F, Mitchell, Braxton D, Mosley, Thomas H, Nalls, Michael A, Ninomiya, Toshiharu, O’Donnell, Martin J, Pulit, Sara L, Rannikmäe, Kristiina, Rexrode, Kathryn M, Rice, Kenneth, Rich, Stephen S, Rost, Natalia S, Rothwell, Peter M, Rundek, Tatjana, Sacco, Ralph L, Sakaue, Saori, Sale, Michele M, Salomaa, Veikko, Sapkota, Bishwa R, Schmidt, Reinhold, Schmidt, Carsten O, Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie LM, Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D, Thijs, Vincent NS, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Tzourio, Christophe, van Duijn, Cornelia M, Walters, Matthew, Wareham, Nicholas J, Wassertheil‐Smoller, Sylvia, Wilson, James G, Yusuf, Salim, Amin, Najaf, Aparicio, Hugo S, Arnett, Donna K, Attia, John, Beiser, Alexa S, Berr, Claudine, Buring, Julie E, Bustamante, Mariana, Caso, Valeria, Cheng, Yu‐Ching, Hoan Choi, Seung, Chowhan, Ayesha, Cullell, Natalia, Dartigues, Jean‐François, Delavaran, Hossein, Delgado, Pilar, Dörr, Marcus, Engström, Gunnar, Ford, Ian, Gurpreet, Wander S, Hamsten, Anders, Heitsch, Laura, Hozawa, Atsushi, Ibanez, Laura, Ilinca, Andreea, Ingelsson, Martin, Iwasaki, Motoki, Jackson, Rebecca D, Jood, Katarina, Jousilahti, Pekka, Kaffashian, Sara, Kalra, Lalit, Kamouchi, Masahiro, Kitazono, Takanari, Kjartansson, Olafur, Kloss, Manja, Koudstaal, Peter J, Krupinski, Jerzy, Labovitz, Daniel L, Laurie, Cathy C, Levi, Christopher R, Li, Linxin, Lind, Lars, Lindgren, Cecilia M, Lioutas, Vasileios, Mei Liu, Yong, Lopez, Oscar L, Makoto, Hirata, Martinez‐Majander, Nicolas, Matsuda, Koichi, Minegishi, Naoko, Montaner, Joan, Morris, Andrew P, Muiño, Elena, Müller‐Nurasyid, Martina, Norrving, Bo, Ogishima, Soichi, Parati, Eugenio A, Reddy Peddareddygari, Leema, Pedersen, Nancy L, Pera, Joanna, Perola, Markus, Pezzini, Alessandro, Pileggi, Silvana, Rabionet, Raquel, Riba‐Llena, Iolanda, Ribasés, Marta, Romero, Jose R, Roquer, Jaume, Rudd, Anthony G, Sarin, Antti‐Pekka, Sarju, Ralhan, Sarnowski, Chloe, Sasaki, Makoto, Satizabal, Claudia L, Satoh, Mamoru, Sattar, Naveed, Sawada, Norie, Sibolt, Gerli, Sigurdsson, Ásgeir, Smith, Albert, Sobue, Kenji, Soriano‐Tárraga, Carolina, Stanne, Tara, Colin Stine, O, Stott, David J, Strauch, Konstantin, Takai, Takako, Tanaka, Hideo, Tanno, Kozo, Teumer, Alexander, Tomppo, Liisa, Torres‐Aguila, Nuria P, Touze, Emmanuel, Tsugane, Shoichiro, Uitterlinden, Andre G, Valdimarsson, Einar M, van der Lee, Sven J, Völzke, Henry, Wakai, Kenji, Weir, David, Williams, Stephen R, Wolfe, Charles DA, Wong, Quenna, Xu, Huichun, Yamaji, Taiki, Sanghera, Dharambir K, Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez‐Cadenas, Israel, Longstreth, W T, Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C, Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B, Kittner, Steven J, Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S, Howson, Joanna MM, Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
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- 2022
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8. Global Metabolomic Profiling Reveals Disrupted Lipid and Amino Acid Metabolism Between the Acute and Chronic Stages of Ischemic Stroke
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Sidorov, Evgeny V., Xu, Chao, Garcia-Ramiu, Jonathan, Blair, Apple, Ortiz-Garcia, Jorge, Gordon, David, Chainakul, Juliane, and Sanghera, Dharambir K.
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- 2022
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9. Improving Stroke Outcome Prediction Using Molecular and Machine Learning Approaches in Large Vessel Occlusion.
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Rout, Madhusmita, Vaughan, April, Sidorov, Evgeny V., and Sanghera, Dharambir K.
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ISCHEMIC stroke ,STROKE ,NUCLEAR magnetic resonance ,MAGNETIC resonance imaging ,GENE expression - Abstract
Introduction: Predicting stroke outcomes in acute ischemic stroke (AIS) can be challenging, especially for patients with large vessel occlusion (LVO). Available tools such as infarct volume and the National Institute of Health Stroke Scale (NIHSS) have shown limited accuracy in predicting outcomes for this specific patient population. The present study aimed to confirm whether sudden metabolic changes due to blood-brain barrier (BBB) disruption during LVO reflect differences in circulating metabolites and RNA between small and large core strokes. The second objective was to evaluate whether integrating molecular markers with existing neurological and imaging tools can enhance outcome predictions in LVO strokes. Methods: The infarction volume in patients was measured using magnetic resonance diffusion-weighted images, and the 90-day stroke outcome was defined by a modified Rankin Scale (mRS). Differential expression patterns of miRNAs were identified by RNA sequencing of serum-driven exosomes. Nuclear magnetic resonance (NMR) spectroscopy was used to identify metabolites associated with AIS with small and large infarctions. Results: We identified 41 miRNAs and 11 metabolites to be significantly associated with infarct volume in a multivariate regression analysis after adjusting for the confounders. Eight miRNAs and ketone bodies correlated significantly with infarct volume, NIHSS (severity), and mRS (outcome). Through integrative analysis of clinical, radiological, and omics data using machine learning, our study identified 11 top features for predicting stroke outcomes with an accuracy of 0.81 and AUC of 0.91. Conclusions: Our study provides a future framework for advancing stroke therapeutics by incorporating molecular markers into the existing neurological and imaging tools to improve predictive efficacy and enhance patient outcomes. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Novel Metabolites as Potential Indicators of Ischemic Infarction Volume: a Pilot Study
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Sidorov, Evgeny V., Bejar, Cynthia, Xu, Chao, Ray, Bappaditya, Gordon, David, Chainakul, Juliane, and Sanghera, Dharambir K.
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- 2021
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11. Potential Metabolite Biomarkers for Acute Versus Chronic Stage of Ischemic Stroke: A Pilot Study
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Sidorov, Evgeny, Bejar, Cynthia, Xu, Chao, Ray, Bappaditya, Reddivari, Lavanya, Chainakul, Juliane, Vanamala, Jairam K.P., and Sanghera, Dharambir K.
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- 2020
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12. APOC3 genetic variation, serum triglycerides, and risk of coronary artery disease in Asian Indians, Europeans, and other ethnic groups
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Goyal, Shiwali, Tanigawa, Yosuke, Zhang, Weihua, Chai, Jin-Fang, Almeida, Marcio, Sim, Xueling, Lerner, Megan, Chainakul, Juliane, Ramiu, Jonathan Garcia, Seraphin, Chanel, Apple, Blair, Vaughan, April, Muniu, James, Peralta, Juan, Lehman, Donna M., Ralhan, Sarju, Wander, Gurpreet S., Singh, Jai Rup, Mehra, Narinder K., Sidorov, Evgeny, Peyton, Marvin D., Blackett, Piers R., Curran, Joanne E., Tai, E. Shyong, van Dam, Rob, Cheng, Ching-Yu, Duggirala, Ravindranath, Blangero, John, Chambers, John C., Sabanayagam, Charumathi, Kooner, Jaspal S., Rivas, Manuel A., Aston, Christopher E., and Sanghera, Dharambir K.
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- 2021
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13. A Bidirectional Mendelian Randomization Study to evaluate the causal role of reduced blood vitamin D levels with type 2 diabetes risk in South Asians and Europeans
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Bejar, Cynthia A., Goyal, Shiwali, Afzal, Shoaib, Mangino, Massimo, Zhou, Ang, van der Most, Peter J., Bao, Yanchun, Gupta, Vipin, Smart, Melissa C., Walia, Gagandeep K., Verweij, Niek, Power, Christine, Prabhakaran, Dorairaj, Singh, Jai Rup, Mehra, Narinder K., Wander, Gurpreet S., Ralhan, Sarju, Kinra, Sanjay, Kumari, Meena, de Borst, Martin H., Hyppönen, Elina, Spector, Tim D., Nordestgaard, Børge G., Blackett, Piers R., and Sanghera, Dharambir K.
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- 2021
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14. A rare missense variant in the milk fat globule-EGF factor 8 (MFGE8) increases T2DM susceptibility and cardiovascular disease risk with population-specific effects
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Sapkota, Bishwa R. and Sanghera, Dharambir K.
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- 2020
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15. Association of the PHACTR1/EDN1 Genetic Locus With Spontaneous Coronary Artery Dissection
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Motreff, Pascal, Belle, Loïc, Dupouy, Patrick, Barnay, Pierre, Meneveau, Nicolas, Gilard, Martine, Rioufol, Gilles, Range, Grégoire, Brunel, Philippe, Delarche, Nicolas, Filippi, Emmanuelle, Le Bivic, Louis, Harbaoui, Brahim, Benamer, Hakim, Cayla, Guillaume, Varenne, Olivier, Manzo-Silberman, Stephane Peggy, Silvain, Johanne, Spaulding, Christian, Caussin, Christophe, Gerbaud, Edouard, Valy, Yann, Koning, René, Lhermusier, Thibault, Champin, Stanislas, Salengro, Emmanuel, Fluttaz, Arnaud, Zabalawi, Amer, Cottin, Yves, Teiger, Emmanuel, Saint-Etienne, Christophe, Ducrocq, Grégory, Marliere, Stéphanie, Boiffard, Emmanuel, Aubry, Pierre, Georges, Jean Louis, Bresson, Didier, De Poli, Fabien, Karrillon, Gaëtan, Roule, Vincent, Bali, Laurent, Valla, Mathieu, Gerbay, Antoine, Houpe, David, Dubreuil, Olivier, Monnier, Arsène, Mayaud, Norbert, Manchuelle, Aurélie, Commeau, Philippe, Bedossa, Marc, Nikpay, Majid, Goel, Anuj, Won, Hong-Hee, Hall, Leanne M., Willenborg, Christina, Kanoni, Stavroula, Saleheen, Danish, Kyriakou, Theodosios, Nelson, Christopher P., Hopewell, Jemma C., Webb, Thomas R., Zeng, Lingyao, Dehghan, Abbas, Alver, Maris, Armasu, Sebastian M., Auro, Kirsi, Bjonnes, Andrew, Chasman, Daniel I., Chen, Shufeng, Ford, Ian, Franceschini, Nora, Gieger, Christian, Grace, Christopher, Gustafsson, Stefan, Huang, Jie, Hwang, Shih-Jen, Kim, Yun Kyoung, Kleber, Marcus E., Lau, King Wai, Lu, Xiangfeng, Lu, Yingchang, Lyytikäinen, Leo P., Mihailov, Evelin, Morrison, Alanna, Pervjakova, Natalia, Qu, Liming, Rose, Lynda M., Salfati, Elias, Saxena, Richa, Scholz, Markus, Smith, Albert V., Tikkanen, Emmi, Uitterlinden, Andre, Yang, Xueli, Zhang, Weihua, Zhao, Wei, de Andrade, Mariza, de Vries, Paul S., van Zuydam, Natalie R., Anand, Sonia S., Bertram, Lars, Beutner, Frank, Dedoussis, George, Frossard, Philippe, Gauguier, Dominique, Goodall, Alison H., Gottesman, Omri, Haber, Marc, Han, Bok-Ghee, Huang, Jianfeng, Jalilzadeh, Shapour, Kessler, Thorsten, König, Inke R., Lannfelt, Lars, Lieb, Wolfgang, Lind, Lars, Lindgren, Cecilia M., Lokki, Maisa, Magnusson, Patrik K., Mallick, Nadeem H., Mehra, Narinder, Meitinger, Thomas, Memon, Fazal-ur-Rehman, Morris, Andrew P., Nieminen, Markku S., Pedersen, Nancy L., Peters, Annette, Rallidis, Loukianos S., Rasheed, Asif, Samuel, Maria, Shah, Svati H., Sinisalo, Juha, Stirrups, Kathleen E., Trompet, Stella, Wang, Laiyuan, Zaman, Khan S., Ardissino, Diego, Boerwinkle, Eric, Borecki, Ingrid B., Bottinger, Erwin P., Buring, Julie E., Chambers, John C., Collins, Rory, Cupples, L Adrienne, Danesh, John, Demuth, Ilja, Elosua, Roberto, Epstein, Stephen E., Esko, Tõnu, Feitosa, Mary F., Franco, Oscar H., Franzosi, Maria Grazia, Granger, Christopher B., Gu, Dongfeng, Gudnason, Vilmundur, Hall, Alistair S., Hamsten, Anders, Harris, Tamara B., Hazen, Stanley L., Hengstenberg, Christian, Hofman, Albert, Ingelsson, Erik, Iribarren, Carlos, Jukema, J Wouter, Karhunen, Pekka J., Kim, Bong-Jo, Kooner, Jaspal S., Kullo, Iftikhar J., Lehtimäki, Terho, Loos, Ruth J., Melander, Olle, Metspalu, Andres, März, Winfried, Palmer, Colin N., Perola, Markus, Quertermous, Thomas, Rader, Daniel J., Ridker, Paul M., Ripatti, Samuli, Roberts, Robert, Salomaa, Veikko, Sanghera, Dharambir K., Schwartz, Stephen M., Seedorf, Udo, Stewart, Alexandre F., Stott, David J., Thiery, Joachim, Zalloua, Pierre A., O'Donnell, Christopher J., Reilly, Muredach P., Assimes, Themistocles L., Thompson, John R., Erdmann, Jeanette, Clarke, Robert, Watkins, Hugh, Kathiresan, Sekar, McPherson, Ruth, Deloukas, Panos, Schunkert, Heribert, Samani, Nilesh J., Farrall, Martin, Adlam, David, Olson, Timothy M., Combaret, Nicolas, Kovacic, Jason C., Iismaa, Siiri E., Al-Hussaini, Abtehale, O'Byrne, Megan M., Bouajila, Sara, Georges, Adrien, Mishra, Ketan, Braund, Peter S., d’Escamard, Valentina, Huang, Siying, Margaritis, Marios, Kadian-Dodov, Daniella, Welch, Catherine A., Mazurkiewicz, Stephani, Jeunemaitre, Xavier, Wong, Claire Mei Yi, Giannoulatou, Eleni, Sweeting, Michael, Muller, David, Wood, Alice, McGrath-Cadell, Lucy, Fatkin, Diane, Dunwoodie, Sally L., Harvey, Richard, Holloway, Cameron, Empana, Jean-Philippe, Jouven, Xavier, Olin, Jeffrey W., Gulati, Rajiv, Tweet, Marysia S., Hayes, Sharonne N., Graham, Robert M., and Bouatia-Naji, Nabila
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- 2019
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16. Vitamin D Status, Gender Differences, and Cardiometabolic Health Disparities
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Sanghera, Dharambir K., Sapkota, Bishwa R., Aston, Christopher E., and Blackett, Piers R.
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- 2017
17. Assessing the prediction of type 2 diabetes risk using polygenic and clinical risk scores in South Asian study populations.
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Rout, Madhusmita, Wander, Gurpreet S., Ralhan, Sarju, Singh, Jai Rup, Aston, Christopher E., Blackett, Piers R., Chernausek, Steven, and Sanghera, Dharambir K.
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- 2023
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18. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
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Malik, Rainer, Chauhan, Ganesh, Traylor, Matthew, Sargurupremraj, Muralidharan, Okada, Yukinori, Mishra, Aniket, Rutten-Jacobs, Loes, Giese, Anne-Katrin, van der Laan, Sander W., Gretarsdottir, Solveig, Anderson, Christopher D., Chong, Michael, Adams, Hieab H. H., Ago, Tetsuro, Almgren, Peter, Amouyel, Philippe, Ay, Hakan, Bartz, Traci M., Benavente, Oscar R., Bevan, Steve, Boncoraglio, Giorgio B., Brown, Jr, Robert D., Butterworth, Adam S., Carrera, Caty, Carty, Cara L., Chasman, Daniel I., Chen, Wei-Min, Cole, John W., Correa, Adolfo, Cotlarciuc, Ioana, Cruchaga, Carlos, Danesh, John, de Bakker, Paul I. W., DeStefano, Anita L., den Hoed, Marcel, Duan, Qing, Engelter, Stefan T., Falcone, Guido J., Gottesman, Rebecca F., Grewal, Raji P., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeffrey, Harris, Tamara B., Hassan, Ahamad, Havulinna, Aki S., Heckbert, Susan R., Holliday, Elizabeth G., Howard, George, Hsu, Fang-Chi, Hyacinth, Hyacinth I., Ikram, M. Arfan, Ingelsson, Erik, Irvin, Marguerite R., Jian, Xueqiu, Jiménez-Conde, Jordi, Johnson, Julie A., Jukema, J. Wouter, Kanai, Masahiro, Keene, Keith L., Kissela, Brett M., Kleindorfer, Dawn O., Kooperberg, Charles, Kubo, Michiaki, Lange, Leslie A., Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lee, Jin-Moo, Lemmens, Robin, Leys, Didier, Lewis, Cathryn M., Lin, Wei-Yu, Lindgren, Arne G., Lorentzen, Erik, Magnusson, Patrik K., Maguire, Jane, Manichaikul, Ani, McArdle, Patrick F., Meschia, James F., Mitchell, Braxton D., Mosley, Thomas H., Nalls, Michael A., Ninomiya, Toshiharu, O’Donnell, Martin J., Psaty, Bruce M., Pulit, Sara L., Rannikmäe, Kristiina, Reiner, Alexander P., Rexrode, Kathryn M., Rice, Kenneth, Rich, Stephen S., Ridker, Paul M., Rost, Natalia S., Rothwell, Peter M., Rotter, Jerome I., Rundek, Tatjana, Sacco, Ralph L., Sakaue, Saori, Sale, Michele M., Salomaa, Veikko, Sapkota, Bishwa R., Schmidt, Reinhold, Schmidt, Carsten O., Schminke, Ulf, Sharma, Pankaj, Slowik, Agnieszka, Sudlow, Cathie L. M., Tanislav, Christian, Tatlisumak, Turgut, Taylor, Kent D., Thijs, Vincent N. S., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tiedt, Steffen, Trompet, Stella, Tzourio, Christophe, van Duijn, Cornelia M., Walters, Matthew, Wareham, Nicholas J., Wassertheil-Smoller, Sylvia, Wilson, James G., Wiggins, Kerri L., Yang, Qiong, Yusuf, Salim, Bis, Joshua C., Pastinen, Tomi, Ruusalepp, Arno, Schadt, Eric E., Koplev, Simon, Björkegren, Johan L. M., Codoni, Veronica, Civelek, Mete, Smith, Nicholas L., Trégouët, David A., Christophersen, Ingrid E., Roselli, Carolina, Lubitz, Steven A., Ellinor, Patrick T., Tai, E. Shyong, Kooner, Jaspal S., Kato, Norihiro, He, Jiang, van der Harst, Pim, Elliott, Paul, Chambers, John C., Takeuchi, Fumihiko, Johnson, Andrew D., Sanghera, Dharambir K., Melander, Olle, Jern, Christina, Strbian, Daniel, Fernandez-Cadenas, Israel, Longstreth, Jr, W. T., Rolfs, Arndt, Hata, Jun, Woo, Daniel, Rosand, Jonathan, Pare, Guillaume, Hopewell, Jemma C., Saleheen, Danish, Stefansson, Kari, Worrall, Bradford B., Kittner, Steven J., Seshadri, Sudha, Fornage, Myriam, Markus, Hugh S., Howson, Joanna M. M., Kamatani, Yoichiro, Debette, Stephanie, and Dichgans, Martin
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- 2018
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19. Associations of autozygosity with a broad range of human phenotypes
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Clark, David W, Okada, Yukinori, Moore, Kristjan H S, Mason, Dan, Pirastu, Nicola, Gandin, Ilaria, Mattsson, Hannele, Barnes, Catriona L K, Lin, Kuang, Zhao, Jing Hua, Deelen, Patrick, Rohde, Rebecca, Schurmann, Claudia, Guo, Xiuqing, Giulianini, Franco, Zhang, Weihua, Medina-Gomez, Carolina, Karlsson, Robert, Bao, Yanchun, Bartz, Traci M, Baumbach, Clemens, Biino, Ginevra, Bixley, Matthew J, Brumat, Marco, Chai, Jin-Fang, Corre, Tanguy, Cousminer, Diana L, Dekker, Annelot M, Eccles, David A, van Eijk, Kristel R, Fuchsberger, Christian, Gao, He, Germain, Marine, Gordon, Scott D, de Haan, Hugoline G, Harris, Sarah E, Hofer, Edith, Huerta-Chagoya, Alicia, Igartua, Catherine, Jansen, Iris E, Jia, Yucheng, Kacprowski, Tim, Karlsson, Torgny, Kleber, Marcus E, Li, Shengchao Alfred, Li-Gao, Ruifang, Mahajan, Anubha, Matsuda, Koichi, Meidtner, Karina, Meng, Weihua, Montasser, May E, van der Most, Peter J, Munz, Matthias, Nutile, Teresa, Palviainen, Teemu, Prasad, Gauri, Prasad, Rashmi B, Priyanka, Tallapragada Divya Sri, Rizzi, Federica, Salvi, Erika, Sapkota, Bishwa R, Shriner, Daniel, Skotte, Line, Smart, Melissa C, Smith, Albert Vernon, van der Spek, Ashley, Spracklen, Cassandra N, Strawbridge, Rona J, Tajuddin, Salman M, Trompet, Stella, Turman, Constance, Verweij, Niek, Viberti, Clara, Wang, Lihua, Warren, Helen R, Wootton, Robyn E, Yanek, Lisa R, Yao, Jie, Yousri, Noha A, Zhao, Wei, Adeyemo, Adebowale A, Afaq, Saima, Aguilar-Salinas, Carlos Alberto, Akiyama, Masato, Albert, Matthew L, Allison, Matthew A, Alver, Maris, Aung, Tin, Azizi, Fereidoun, Bentley, Amy R, Boeing, Heiner, Boerwinkle, Eric, Borja, Judith B, de Borst, Gert J, Bottinger, Erwin P, Broer, Linda, Campbell, Harry, Chanock, Stephen, Chee, Miao-Li, Chen, Guanjie, Chen, Yii-Der I, Chen, Zhengming, Chiu, Yen-Feng, Cocca, Massimiliano, Collins, Francis S, Concas, Maria Pina, Corley, Janie, Cugliari, Giovanni, van Dam, Rob M, Damulina, Anna, Daneshpour, Maryam S, Day, Felix R, Delgado, Graciela E, Dhana, Klodian, Doney, Alexander S F, Dörr, Marcus, Doumatey, Ayo P, Dzimiri, Nduna, Ebenesersdóttir, S Sunna, Elliott, Joshua, Elliott, Paul, Ewert, Ralf, Felix, Janine F, Fischer, Krista, Freedman, Barry I, Girotto, Giorgia, Goel, Anuj, Gögele, Martin, Goodarzi, Mark O, Graff, Mariaelisa, Granot-Hershkovitz, Einat, Grodstein, Francine, Guarrera, Simonetta, Gudbjartsson, Daniel F, Guity, Kamran, Gunnarsson, Bjarni, Guo, Yu, Hagenaars, Saskia P, Haiman, Christopher A, Halevy, Avner, Harris, Tamara B, Hedayati, Mehdi, van Heel, David A, Hirata, Makoto, Höfer, Imo, Hsiung, Chao Agnes, Huang, Jinyan, Hung, Yi-Jen, Ikram, M Arfan, Jagadeesan, Anuradha, Jousilahti, Pekka, Kamatani, Yoichiro, Kanai, Masahiro, Kerrison, Nicola D, Kessler, Thorsten, Khaw, Kay-Tee, Khor, Chiea Chuen, de Kleijn, Dominique P V, Koh, Woon-Puay, Kolcic, Ivana, Kraft, Peter, Krämer, Bernhard K, Kutalik, Zoltán, Kuusisto, Johanna, Langenberg, Claudia, Launer, Lenore J, Lawlor, Deborah A, Lee, I-Te, Lee, Wen-Jane, Lerch, Markus M, Li, Liming, Liu, Jianjun, Loh, Marie, London, Stephanie J, Loomis, Stephanie, Lu, Yingchang, Luan, Jian’an, Mägi, Reedik, Manichaikul, Ani W, Manunta, Paolo, Másson, Gísli, Matoba, Nana, Mei, Xue W, Meisinger, Christa, Meitinger, Thomas, Mezzavilla, Massimo, Milani, Lili, Millwood, Iona Y, Momozawa, Yukihide, Moore, Amy, Morange, Pierre-Emmanuel, Moreno-Macías, Hortensia, Mori, Trevor A, Morrison, Alanna C, Muka, Taulant, Murakami, Yoshinori, Murray, Alison D, de Mutsert, Renée, Mychaleckyj, Josyf C, Nalls, Mike A, Nauck, Matthias, Neville, Matt J, Nolte, Ilja M, Ong, Ken K, Orozco, Lorena, Padmanabhan, Sandosh, Pálsson, Gunnar, Pankow, James S, Pattaro, Cristian, Pattie, Alison, Polasek, Ozren, Poulter, Neil, Pramstaller, Peter P, Quintana-Murci, Lluis, Räikkönen, Katri, Ralhan, Sarju, Rao, Dabeeru C, van Rheenen, Wouter, Rich, Stephen S, Ridker, Paul M, Rietveld, Cornelius A, Robino, Antonietta, van Rooij, Frank J A, Ruggiero, Daniela, Saba, Yasaman, Sabanayagam, Charumathi, Sabater-Lleal, Maria, Sala, Cinzia Felicita, Salomaa, Veikko, Sandow, Kevin, Schmidt, Helena, Scott, Laura J, Scott, William R, Sedaghati-Khayat, Bahareh, Sennblad, Bengt, van Setten, Jessica, Sever, Peter J, Sheu, Wayne H-H, Shi, Yuan, Shrestha, Smeeta, Shukla, Sharvari Rahul, Sigurdsson, Jon K, Sikka, Timo Tonis, Singh, Jai Rup, Smith, Blair H, Stančáková, Alena, Stanton, Alice, Starr, John M, Stefansdottir, Lilja, Straker, Leon, Sulem, Patrick, Sveinbjornsson, Gardar, Swertz, Morris A, Taylor, Adele M, Taylor, Kent D, Terzikhan, Natalie, Tham, Yih-Chung, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tillander, Annika, Tracy, Russell P, Tusié-Luna, Teresa, Tzoulaki, Ioanna, Vaccargiu, Simona, Vangipurapu, Jagadish, Veldink, Jan H, Vitart, Veronique, Völker, Uwe, Vuoksimaa, Eero, Wakil, Salma M, Waldenberger, Melanie, Wander, Gurpreet S, Wang, Ya Xing, Wareham, Nicholas J, Wild, Sarah, Yajnik, Chittaranjan S, Yuan, Jian-Min, Zeng, Lingyao, Zhang, Liang, Zhou, Jie, Amin, Najaf, Asselbergs, Folkert W, Bakker, Stephan J L, Becker, Diane M, Lehne, Benjamin, Bennett, David A, van den Berg, Leonard H, Berndt, Sonja I, Bharadwaj, Dwaipayan, Bielak, Lawrence F, Bochud, Murielle, Boehnke, Mike, Bouchard, Claude, Bradfield, Jonathan P, Brody, Jennifer A, Campbell, Archie, Carmi, Shai, Caulfield, Mark J, Cesarini, David, Chambers, John C, Chandak, Giriraj Ratan, Cheng, Ching-Yu, Ciullo, Marina, Cornelis, Marilyn, Cusi, Daniele, Smith, George Davey, Deary, Ian J, Dorajoo, Rajkumar, van Duijn, Cornelia M, Ellinghaus, David, Erdmann, Jeanette, Eriksson, Johan G, Evangelou, Evangelos, Evans, Michele K, Faul, Jessica D, Feenstra, Bjarke, Feitosa, Mary, Foisy, Sylvain, Franke, Andre, Friedlander, Yechiel, Gasparini, Paolo, Gieger, Christian, Gonzalez, Clicerio, Goyette, Philippe, Grant, Struan F A, Griffiths, Lyn R, Groop, Leif, Gudnason, Vilmundur, Gyllensten, Ulf, Hakonarson, Hakon, Hamsten, Anders, van der Harst, Pim, Heng, Chew-Kiat, Hicks, Andrew A, Hochner, Hagit, Huikuri, Heikki, Hunt, Steven C, Jaddoe, Vincent W V, De Jager, Philip L, Johannesson, Magnus, Johansson, Åsa, Jonas, Jost B, Jukema, J Wouter, Junttila, Juhani, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kumari, Meena, Laakso, Markku, van der Laan, Sander W, Lahti, Jari, Laudes, Matthias, Lea, Rodney A, Lieb, Wolfgang, Lumley, Thomas, Martin, Nicholas G, März, Winfried, Matullo, Giuseppe, McCarthy, Mark I, Medland, Sarah E, Merriman, Tony R, Metspalu, Andres, Meyer, Brian F, Mohlke, Karen L, Montgomery, Grant W, Mook-Kanamori, Dennis, Munroe, Patricia B, North, Kari E, Nyholt, Dale R, O’connell, Jeffery R, Ober, Carole, Oldehinkel, Albertine J, Palmas, Walter, Palmer, Colin, Pasterkamp, Gerard G, Patin, Etienne, Pennell, Craig E, Perusse, Louis, Peyser, Patricia A, Pirastu, Mario, Polderman, Tinca J. C., Porteous, David J, Posthuma, Danielle, Psaty, Bruce M, Rioux, John D, Rivadeneira, Fernando, Rotimi, Charles, Rotter, Jerome I, Rudan, Igor, Den Ruijter, Hester M, Sanghera, Dharambir K, Sattar, Naveed, Schmidt, Reinhold, Schulze, Matthias B, Schunkert, Heribert, Scott, Robert A, Shuldiner, Alan R, Sim, Xueling, Small, Neil, Smith, Jennifer A, Sotoodehnia, Nona, Tai, E-Shyong, Teumer, Alexander, Timpson, Nicholas J, Toniolo, Daniela, Tregouet, David-Alexandre, Tuomi, Tiinamaija, Vollenweider, Peter, Wang, Carol A, Weir, David R, Whitfield, John B, Wijmenga, Cisca, Wong, Tien-Yin, Wright, John, Yang, Jingyun, Yu, Lei, Zemel, Babette S, Zonderman, Alan B, Perola, Markus, Magnusson, Patrik K. E., Uitterlinden, André G, Kooner, Jaspal S, Chasman, Daniel I, Loos, Ruth J. F., Franceschini, Nora, Franke, Lude, Haley, Chris S, Hayward, Caroline, Walters, Robin G, Perry, John R. B., Esko, Tōnu, Helgason, Agnar, Stefansson, Kari, Joshi, Peter K, Kubo, Michiaki, and Wilson, James F
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- 2019
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20. Association of APOE polymorphisms with diabetes and cardiometabolic risk factors and the role of APOE genotypes in response to anti-diabetic therapy: results from the AIDHS/SDS on a South Asian population
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Sapkota, Bishwa, Subramanian, Anuradha, Priamvada, Gargi, Finely, Hadley, Blackett, Piers R., Aston, Christopher E., and Sanghera, Dharambir K.
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- 2015
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21. Frequencies of poor metabolizer alleles of 12 pharmacogenomic actionable genes in Punjabi Sikhs of Indian Origin
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Sanghera, Dharambir K., Bejar, Cynthia, Sapkota, Bishwa, Wander, Gurpreet S., and Ralhan, Sarju
- Published
- 2018
- Full Text
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22. Genetic determinants of cardiometabolic risk: A proposed model for phenotype association and interaction
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Blackett, Piers R. and Sanghera, Dharambir K.
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- 2013
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23. Metabolite signatures of diabetes with cardiovascular disease: a pilot investigation
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Reddivari, Lavanya, Sapkota, Bishwa R., Rudraraju, Apoorva, Liang, Yundi, Aston, Christopher, Sidorov, Evgeny, Vanamala, Jairam K. P., and Sanghera, Dharambir K.
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- 2017
- Full Text
- View/download PDF
24. The Khatri Sikh Diabetes Study (SDS): Study Design, Methodology, Sample Collection, and Initial Results
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SANGHERA, DHARAMBIR K., BHATTI, JASWINDER S., BHATTI, GURJIT K., RALHAN, SARJU K., WANDER, GURPREET S., SINGH, JAI RUP, BUNKER, CLAREANN H., WEEKS, DANIEL E., KAMBOH, M. ILYAS, and FERRELL, ROBERT E.
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- 2006
25. Directional dominance on stature and cognition in diverse human populations
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Joshi, Peter K., Esko, Tonu, Mattsson, Hannele, Eklund, Niina, Gandin, Ilaria, Nutile, Teresa, Jackson, Anne U., Schurmann, Claudia, Smith, Albert V., Zhang, Weihua, Okada, Yukinori, Stančáková, Alena, Faul, Jessica D., Zhao, Wei, Bartz, Traci M., Concas, Maria Pina, Franceschini, Nora, Enroth, Stefan, Vitart, Veronique, Trompet, Stella, Guo, Xiuqing, Chasman, Daniel I., OʼConnel, Jeffrey R., Corre, Tanguy, Nongmaithem, Suraj S., Chen, Yuning, Mangino, Massimo, Ruggiero, Daniela, Traglia, Michela, Farmaki, Aliki-Eleni, Kacprowski, Tim, Bjonnes, Andrew, van der Spek, Ashley, Wu, Ying, Giri, Anil K., Yanek, Lisa R., Wang, Lihua, Hofer, Edith, Rietveld, Cornelius A., McLeod, Olga, Cornelis, Marilyn C., Pattaro, Cristian, Verweij, Niek, Baumbach, Clemens, Abdellaoui, Abdel, Warren, Helen R., Vuckovic, Dragana, Mei, Hao, Bouchard, Claude, Perry, John R. B., Cappellani, Stefania, Mirza, Saira S., Benton, Miles C., Broeckel, Ulrich, Medland, Sarah E., Lind, Penelope A., Malerba, Giovanni, Drong, Alexander, Yengo, Loic, Bielak, Lawrence F., Zhi, Degui, van der Most, Peter J., Shriner, Daniel, Mägi, Reedik, Hemani, Gibran, Karaderi, Tugce, Wang, Zhaoming, Liu, Tian, Demuth, Ilja, Zhao, Jing Hua, Meng, Weihua, Lataniotis, Lazaros, van der Laan, Sander W., Bradfield, Jonathan P., Wood, Andrew R., Bonnefond, Amelie, Ahluwalia, Tarunveer S., Hall, Leanne M., Salvi, Erika, Yazar, Seyhan, Carstensen, Lisbeth, de Haan, Hugoline G., Abney, Mark, Afzal, Uzma, Allison, Matthew A., Amin, Najaf, Asselbergs, Folkert W., Bakker, Stephan J. L., Barr, Graham R., Baumeister, Sebastian E., Benjamin, Daniel J., Bergmann, Sven, Boerwinkle, Eric, Bottinger, Erwin P., Campbell, Archie, Chakravarti, Aravinda, Chan, Yingleong, Chanock, Stephen J., Chen, Constance, Chen, Ida Y.-D., Collins, Francis S., Connell, John, Correa, Adolfo, Cupples, Adrienne L., Smith, George Davey, Davies, Gail, Dörr, Marcus, Ehret, Georg, Ellis, Stephen B., Feenstra, Bjarke, Feitosa, Mary F., Ford, Ian, Fox, Caroline S., Frayling, Timothy M., Friedrich, Nele, Geller, Frank, Scotland, Generation, Gillham-Nasenya, Irina, Gottesman, Omri, Graff, Misa, Grodstein, Francine, Gu, Charles, Haley, Chris, Hammond, Christopher J., Harris, Sarah E., Harris, Tamara B., Hastie, Nicholas D., Heard-Costa, Nancy L., Heikkilä, Kauko, Hocking, Lynne J., Homuth, Georg, Hottenga, Jouke-Jan, Huang, Jinyan, Huffman, Jennifer E., Hysi, Pirro G., Ikram, Arfan M., Ingelsson, Erik, Joensuu, Anni, Johansson, Åsa, Jousilahti, Pekka, Jukema, Wouter J., Kähönen, Mika, Kamatani, Yoichiro, Kanoni, Stavroula, Kerr, Shona M., Khan, Nazir M., Koellinger, Philipp, Koistinen, Heikki A., Kooner, Manraj K., Kubo, Michiaki, Kuusisto, Johanna, Lahti, Jari, Launer, Lenore J., Lea, Rodney A., Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C.M., Lind, Lars, Loh, Marie, Lokki, Marja-Liisa, London, Stephanie J., Loomis, Stephanie J., Loukola, Anu, Lu, Yingchang, Lumley, Thomas, Lundqvist, Annamari, Männistö, Satu, Marques-Vidal, Pedro, Masciullo, Corrado, Matchan, Angela, Mathias, Rasika A., Matsuda, Koichi, Meigs, James B., Meisinger, Christa, Meitinger, Thomas, Menni, Cristina, Mentch, Frank D., Mihailov, Evelin, Milani, Lili, Montasser, May E., Montgomery, Grant W., Morrison, Alanna, Myers, Richard H., Nadukuru, Rajiv, Navarro, Pau, Nelis, Mari, Nieminen, Markku S., Nolte, Ilja M., OʼConnor, George T., Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Pankow, James S., Patarcic, Inga, Pavani, Francesca, Peyser, Patricia A., Pietilainen, Kirsi, Poulter, Neil, Prokopenko, Inga, Ralhan, Sarju, Redmond, Paul, Rich, Stephen S., Rissanen, Harri, Robino, Antonietta, Rose, Lynda M., Rose, Richard, Sala, Cinzia, Salako, Babatunde, Salomaa, Veikko, Sarin, Antti-Pekka, Saxena, Richa, Schmidt, Helena, Scott, Laura J., Scott, William R., Sennblad, Bengt, Seshadri, Sudha, Sever, Peter, Shrestha, Smeeta, Smith, Blair H., Smith, Jennifer A., Soranzo, Nicole, Sotoodehnia, Nona, Southam, Lorraine, Stanton, Alice V., Stathopoulou, Maria G., Strauch, Konstantin, Strawbridge, Rona J., Suderman, Matthew J., Tandon, Nikhil, Tang, Sian-Tsun, Taylor, Kent D., Tayo, Bamidele O., Töglhofer, Anna Maria, Tomaszewski, Maciej, Tšernikova, Natalia, Tuomilehto, Jaakko, Uitterlinden, Andre G., Vaidya, Dhananjay, van Hylckama Vlieg, Astrid, van Setten, Jessica, Vasankari, Tuula, Vedantam, Sailaja, Vlachopoulou, Efthymia, Vozzi, Diego, Vuoksimaa, Eero, Waldenberger, Melanie, Ware, Erin B., Wentworth-Shields, William, Whitfield, John B., Wild, Sarah, Willemsen, Gonneke, Yajnik, Chittaranjan S., Yao, Jie, Zaza, Gianluigi, Zhu, Xiaofeng, Salem, Rany M., Melbye, Mads, Bisgaard, Hans, Samani, Nilesh J., Cusi, Daniele, Mackey, David A., Cooper, Richard S., Froguel, Philippe, Pasterkamp, Gerard, Grant, Struan F.A., Hakonarson, Hakon, Ferrucci, Luigi, Scott, Robert A., Morris, Andrew D., Palmer, Colin N. A., Dedoussis, George, Deloukas, Panos, Bertram, Lars, Lindenberger, Ulman, Berndt, Sonja I., Lindgren, Cecilia M., Timpson, Nicholas J., Tönjes, Anke, Munroe, Patricia B., Sørensen, Thorkild I. A., Rotimi, Charles N., Arnett, Donna K., Oldehinkel, Albertine J., Kardia, Sharon L. R., Balkau, Beverley, Gambaro, Giovanni, Morris, Andrew P., Eriksson, Johan G., Wright, Margie J., Martin, Nicholas G., Hunt, Steven C., Starr, John M., Deary, Ian J., Griffiths, Lyn R., Tiemeier, Henning, Pirastu, Nicola, Kaprio, Jaakko, Wareham, Nicholas J., Pérusse, Louis, Wilson, James G., Girotto, Giorgia, Caulfield, Mark J., Raitakari, Olli, Boomsma, Dorret I., Gieger, Christian, van der Harst, Pim, Hicks, Andrew A., Kraft, Peter, Sinisalo, Juha, Knekt, Paul, Johannesson, Magnus, Magnusson, Patrik K. E., Hamsten, Anders, Schmidt, Reinhold, Borecki, Ingrid B., Vartiainen, Erkki, Becker, Diane M., Bharadwaj, Dwaipayan, Mohlke, Karen L., Boehnke, Michael, van Duijn, Cornelia M., Sanghera, Dharambir K., Teumer, Alexander, Zeggini, Eleftheria, Metspalu, Andres, Gasparini, Paolo, Ulivi, Sheila, Ober, Carole, Toniolo, Daniela, Rudan, Igor, Porteous, David J., Ciullo, Marina, Spector, Tim D., Hayward, Caroline, Dupuis, Josée, Loos, Ruth J. F., Wright, Alan F., Chandak, Giriraj R., Vollenweider, Peter, Shuldiner, Alan R., Ridker, Paul M., Rotter, Jerome I., Sattar, Naveed, Gyllensten, Ulf, North, Kari E., Pirastu, Mario, Psaty, Bruce M., Weir, David R., Laakso, Markku, Gudnason, Vilmundur, Takahashi, Atsushi, Chambers, John C., Kooner, Jaspal S., Strachan, David P., Campbell, Harry, Hirschhorn, Joel N., Perola, Markus, Polašek, Ozren, and Wilson, James F.
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- 2015
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26. Apolipoprotein J Polymorphisms and Serum HDL Cholesterol Levels in African Blacks
- Author
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NESTLERODE, CARA S., BUNKER, CLAREANN H., SANGHERA, DHARAMBIR K., ASTON, CHRISTOPHER E., UKOLI, FLORA A., and KAMBOH, M. ILYAS
- Published
- 1999
27. Role of an intronic polymorphism in the PDCD1 gene with the risk of sporadic systemic lupus erythematosus and the occurrence of antiphospholipid antibodies
- Author
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Sanghera, Dharambir K., Manzi, Susan, Bontempo, Franklin, Nestlerode, Cara, and Kamboh, M. Ilyas
- Published
- 2004
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28. Genome-Wide Association Study Identifies a Novel Locus Contributing to Type 2 Diabetes Susceptibility in Sikhs of Punjabi Origin From India
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Saxena, Richa, Saleheen, Danish, Been, Latonya F., Garavito, Martha L., Braun, Timothy, Bjonnes, Andrew, Young, Robin, Ho, Weang Kee, Rasheed, Asif, Frossard, Philippe, Sim, Xueling, Hassanali, Neelam, Radha, Venkatesan, Chidambaram, Manickam, Liju, Samuel, Rees, Simon D., Ng, Daniel Peng-Keat, Wong, Tien-Yin, Yamauchi, Toshimasa, Hara, Kazuo, Tanaka, Yasushi, Hirose, Hiroshi, McCarthy, Mark I., Morris, Andrew P., Basit, Abdul, Barnett, Anthony H., Katulanda, Prasad, Matthews, David, Mohan, Viswanathan, Wander, Gurpreet S., Singh, Jai Rup, Mehra, Narinder K., Ralhan, Sarju, Kamboh, M. Ilyas, Mulvihill, John J., Maegawa, Hiroshi, Tobe, Kazuyuki, Maeda, Shiro, Cho, Yoon S., Tai, E. Shyong, Kelly, M. Ann, Chambers, John C., Kooner, Jaspal S., Kadowaki, Takashi, Deloukas, Panos, Rader, Daniel J., Danesh, John, and Sanghera, Dharambir K.
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- 2013
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29. Molecular basis of the apolipoprotein H (β2-glycoprotein I) protein polymorphism
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Sanghera, Dharambir K., Kristensen, Torsten, Hamman, Richard F., and Kamboh, M. I.
- Published
- 1997
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30. Genetic Variation in the Paraoxonase-3 (PON3) Gene is Associated with Serum PON1 Activity
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Sanghera, Dharambir K., Manzi, Susan, Minster, Ryan L., Shaw, Penny, Kao, Amy, Bontempo, Franklin, and Kamboh, M. Ilyas
- Published
- 2008
31. DNA polymorphisms in two paraoxonase genes (PON1 and PON2) are associated with the risk of coronary heart disease
- Author
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Sanghera, Dharambir K., Aston, Christopher E., Saha, Nilmani, and Kamboh, M. Ilyas
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Genetic polymorphisms -- Research ,Coronary heart disease -- Risk factors ,Biological sciences - Abstract
A study of DNA polymorphisms in two paraoxonase genes (PON1 and PON2) in Asian Indians found two polymorphisms that function synergistically to raise the risk of coronary heart disease. One common polymorphism is located in the PON 2 gene at codon 311 and the other is in the PON 1 gene at codon 192.
- Published
- 1998
32. Single Nucleotide Polymorphisms in the Coding Region of the Apolipoprotein H (β2-Glycoprotein I) Gene and their Correlation with the Protein Polymorphism, Anti-β2Glycoprotein I Antibodies and Cardiolipin Binding: Description of Novel Haplotypes and Their Evolution
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Kamboh, M. Ilyas, Sanghera, Dharambir K., Mehdi, Haider, Nestlerode, Cara S., Chen, Qi, Khalifa, Osama, Naqvi, Asma, Manzi, Susan, and Bunker, Clareann H.
- Published
- 2004
33. Variants in KCNQ1 increase type II diabetes susceptibility in South Asians: A study of 3,310 subjects from India and the US
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Aston Christopher E, Mulvihill John J, Singh JaiRup, Mehra Narinder K, Wander Gurpreet S, Ralhan Sarju, Been Latonya F, and Sanghera Dharambir K
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Internal medicine ,RC31-1245 ,Genetics ,QH426-470 - Abstract
Abstract Background Polymorphisms in intron 15 of potassium voltage-gated channel, KQT-like subfamily member 1 (KCNQ1) gene have been associated with type II diabetes (T2D) in Japanese genome-wide association studies (GWAS). More recently a meta-analysis of European GWAS has detected a new independent signal associated with T2D in intron 11 of the KCNQ1 gene. The purpose of this investigation is to examine the role of these variants with T2D in populations of Asian Indian descent from India and the US. Methods We examined the association between four variants in the KCNQ1 gene with T2D and related quantitative traits in a total of 3,310 Asian Indian participants from two different cohorts comprising 2,431 individuals of the Punjabi case-control cohort from the Sikh Diabetes Study and 879 migrant Asian Indians living in the US. Results Our data confirmed the association of a new signal at the KCNQ1 locus (rs231362) with T2D showing an allelic odds ratio (OR) of 1.24 95%CI [1.08-1.43], p = 0.002 in the Punjabi cohort. A moderate association with T2D was also seen for rs2237895 in the Punjabi (OR 1.14; p = 0.036) and combined cohorts (meta-analysis OR 1.14; p = 0.018). Three-site haplotype analysis of rs231362, rs2237892, rs2237895 exhibited considerably stronger evidence of association of the GCC haplotype with T2D showing OR of 1.24 95%CI [1.00-1.53], p = 0.001, permutation p = 8 × 10-4 in combined cohorts. The 'C' risk allele carriers of rs2237895 had significantly reduced measures of HOMA-B in the US cohort (p = 0.008) as well as in combined cohort in meta-analysis (p = 0.009). Conclusions Our investigation has confirmed that the variation within the KCNQ1 locus confers a significant risk to T2D among Asian Indians. Haplotype analysis further suggested that the T2D risk associated with KCNQ1 SNPs may be derived from 'G' allele of rs231362 and 'C' allele of rs2237895 and this appears to be mediated through β cell function.
- Published
- 2011
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34. Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk
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Mehra Narinder K, Wander Gurpreet S, Ralhan Sarju K, Singh Jairup, Han Shizhong, Ortega Lyda, Sanghera Dharambir K, Mulvihill John J, Ferrell Robert E, Nath Swapan K, and Kamboh Mohammed I
- Subjects
Internal medicine ,RC31-1245 ,Genetics ,QH426-470 - Abstract
Abstract Background Recent genome-wide association (GWA) studies have identified several unsuspected genes associated with type 2 diabetes (T2D) with previously unknown functions. In this investigation, we have examined the role of 9 most significant SNPs reported in GWA studies: [peroxisome proliferator-activated receptor gamma 2 (PPARG2; rs 1801282); insulin-like growth factor two binding protein 2 (IGF2BP2; rs 4402960); cyclin-dependent kinase 5, a regulatory subunit-associated protein1-like 1 (CDK5; rs7754840); a zinc transporter and member of solute carrier family 30 (SLC30A8; rs13266634); a variant found near cyclin-dependent kinase inhibitor 2A (CDKN2A; rs10811661); hematopoietically expressed homeobox (HHEX; rs 1111875); transcription factor-7-like 2 (TCF7L2; rs 10885409); potassium inwardly rectifying channel subfamily J member 11(KCNJ11; rs 5219); and fat mass obesity-associated gene (FTO; rs 9939609)]. Methods We genotyped these SNPs in a case-control sample of 918 individuals consisting of 532 T2D cases and 386 normal glucose tolerant (NGT) subjects of an Asian Sikh community from North India. We tested the association between T2D and each SNP using unconditional logistic regression before and after adjusting for age, gender, and other covariates. We also examined the impact of these variants on body mass index (BMI), waist to hip ratio (WHR), fasting insulin, and glucose and lipid levels using multiple linear regression analysis. Results Four of the nine SNPs revealed a significant association with T2D; PPARG2 (Pro12Ala) [odds ratio (OR) 0.12; 95% confidence interval (CI) (0.03–0.52); p = 0.005], IGF2BP2 [OR 1.37; 95% CI (1.04–1.82); p = 0.027], TCF7L2 [OR 1.64; 95% CI (1.20–2.24); p = 0.001] and FTO [OR 1.46; 95% CI (1.11–1.93); p = 0.007] after adjusting for age, sex and BMI. Multiple linear regression analysis revealed significant association of two of nine investigated loci with diabetes-related quantitative traits. The 'C' (risk) allele of CDK5 (rs 7754840) was significantly associated with decreased HDL-cholesterol levels in both NGT (p = 0.005) and combined (NGT and T2D) (0.005) groups. The less common 'C' (risk) allele of TCF7L2 (rs 10885409) was associated with increased LDL-cholesterol (p = 0.010) in NGT and total and LDL-cholesterol levels (p = 0.008; p = 0.003, respectively) in combined cohort. Conclusion To our knowledge, this is first study reporting the role of some recently emerged loci with T2D in a high risk population of Asian Indian origin. Further investigations are warranted to understand the pathway-based functional implications of these important loci in T2D pathophysiology in different ethnicities.
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- 2008
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35. Two new alleles in the tetranucleotide repeat polymorphism in the LDL-receptor-related protein (LRP) gene
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Harris, Meagan, Sanghera, Dharambir K., and Kamboh, M. Ilyas
- Published
- 1996
36. Targeted sequencing of candidate genes of dyslipidemia in Punjabi Sikhs: Population-specific rare variants in GCKR promote ectopic fat deposition.
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Sanghera, Dharambir K., Hopkins, Ruth, Malone-Perez, Megan W., Bejar, Cynthia, Tan, Chengcheng, Mussa, Huda, Whitby, Paul, Fowler, Ben, Rao, Chinthapally V., Fung, KarMing A., Lightfoot, Stan, and Frazer, J. Kimble
- Subjects
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HIGH-fat diet , *BLOOD lipids , *SIKHS , *INDIANS (Asians) , *DISEASE risk factors - Abstract
Dyslipidemia is a well-established risk factor for cardiovascular diseases. Although, advances in genome-wide technologies have enabled the discovery of hundreds of genes associated with blood lipid phenotypes, most of the heritability remains unexplained. Here we performed targeted resequencing of 13 bona fide candidate genes of dyslipidemia to identify the underlying biological functions. We sequenced 940 Sikh subjects with extreme serum levels of hypertriglyceridemia (HTG) and 2,355 subjects were used for replication studies; all 3,295 participants were part of the Asian Indians Diabetic Heart Study. Gene-centric analysis revealed burden of variants for increasing HTG risk in GCKR (p = 2.1x10-5), LPL (p = 1.6x10-3) and MLXIPL (p = 1.6x10-2) genes. Of these, three missense and damaging variants within GCKR were further examined for functional consequences in vivo using a transgenic zebrafish model. All three mutations were South Asian population-specific and were largely absent in other multiethnic populations of Exome Aggregation Consortium. We built different transgenic models of human GCKR with and without mutations and analyzed the effects of dietary changes in vivo. Despite the short-term of feeding, profound phenotypic changes were apparent in hepatocyte histology and fat deposition associated with increased expression of GCKR in response to a high fat diet (HFD). Liver histology of the GCKRmut showed severe fatty metamorphosis which correlated with ~7 fold increase in the mRNA expression in the GCKRmut fish even in the absence of a high fat diet. These findings suggest that functionally disruptive GCKR variants not only increase the risk of HTG but may enhance ectopic lipid/fat storage defects in absence of obesity and HFD. To our knowledge, this is the first transgenic zebrafish model of a putative human disease gene built to accurately assess the influence of genetic changes and their phenotypic consequences in vivo. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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37. Obesity genetics and cardiometabolic health: Potential for risk prediction.
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Sanghera, Dharambir K., Bejar, Cynthia, Sharma, Sonali, Gupta, Rajeev, and Blackett, Piers R.
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- *
CARDIOVASCULAR diseases , *OBESITY , *TYPE 2 diabetes , *METABOLIC disorders , *HYPERTENSION - Abstract
The increasing burden of obesity worldwide and its effect on cardiovascular disease (CVD) risk is an opportunity for evaluation of preventive approaches. Both obesity and CVD have a genetic background and polymorphisms within genes which enhance expression of variant proteins that influence CVD in obesity. Genome‐based prediction may therefore be a feasible strategy, but the identification of genetically driven risk factors for CVD manifesting as clinically recognized phenotypes is a major challenge. Clusters of such risk factors include hyperglycaemia, hypertension, ectopic liver fat, and inflammation. All involve multiple genetic pathways having complex interactions with variable environmental influences. The factors that make significant contributions to CVD risk include altered carbohydrate homeostasis, ectopic deposition of fat in muscle and liver, and inflammation, with contributions from the gut microbiome. A futuristic model depends on harnessing the predictive power of plausible genetic variants, phenotype reversibility, and effective therapeutic choices based on genotype–phenotype interactions. Inverting disease phenotypes into ideal cardiovascular health metrics could improve genetic and epigenetic assessment, and form the basis of a future model for risk detection and early intervention. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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38. Investigation of Genetic Variation Underlying Central Obesity amongst South Asians.
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Scott, William R., Zhang, Weihua, Loh, Marie, Tan, Sian-Tsung, Lehne, Benjamin, Afzal, Uzma, Peralta, Juan, Saxena, Richa, Ralhan, Sarju, Wander, Gurpreet S., Bozaoglu, Kiymet, Sanghera, Dharambir K., Elliott, Paul, Scott, James, Chambers, John C., and Kooner, Jaspal S.
- Subjects
OBESITY risk factors ,SOUTH Asians ,HUMAN genetic variation ,DISEASE susceptibility ,METABOLIC disorders ,SINGLE nucleotide polymorphisms ,DISEASES - Abstract
South Asians are 1/4 of the world’s population and have increased susceptibility to central obesity and related cardiometabolic disease. Knowledge of genetic variants affecting risk of central obesity is largely based on genome-wide association studies of common SNPs in Europeans. To evaluate the contribution of DNA sequence variation to the higher levels of central obesity (defined as waist hip ratio adjusted for body mass index, WHR) among South Asians compared to Europeans we carried out: i) a genome-wide association analysis of >6M genetic variants in 10,318 South Asians with focused analysis of population-specific SNPs; ii) an exome-wide association analysis of ~250K SNPs in protein-coding regions in 2,637 South Asians; iii) a comparison of risk allele frequencies and effect sizes of 48 known WHR SNPs in 12,240 South Asians compared to Europeans. In genome-wide analyses, we found no novel associations between common genetic variants and WHR in South Asians at P<5x10
-8 ; variants showing equivocal association with WHR (P<1x10-5 ) did not replicate at P<0.05 in an independent cohort of South Asians (N = 1,922) or in published, predominantly European meta-analysis data. In the targeted analyses of 122,391 population-specific SNPs we also found no associations with WHR in South Asians at P<0.05 after multiple testing correction. Exome-wide analyses showed no new associations between genetic variants and WHR in South Asians, either individually at P<1.5x10-6 or grouped by gene locus at P<2.5x10−6 . At known WHR loci, risk allele frequencies were not higher in South Asians compared to Europeans (P = 0.77), while effect sizes were unexpectedly smaller in South Asians than Europeans (P<5.0x10-8 ). Our findings argue against an important contribution for population-specific or cosmopolitan genetic variants underlying the increased risk of central obesity in South Asians compared to Europeans. [ABSTRACT FROM AUTHOR]- Published
- 2016
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39. Genetic and Cultural Reconstruction of the Migration of an Ancient Lineage.
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Mascarenhas, Desmond D., Raina, Anupuma, Aston, Christopher E., and Sanghera, Dharambir K.
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Y chromosome ,PAIRED comparisons (Mathematics) ,HISTORY of emigration & immigration ,PATRILINEAL kinship ,CHI-square distribution ,BRAHMANS ,INTERMARRIAGE - Abstract
A rare R1a1 Y-haplogroup (Y-HG) L657 clade subtype designated as LPKSTR is found in most male members of a clan of "founder" families within the Goud Saraswat Brahmin community in Lotli town in Western India. TMRCA calculations using pairwise comparisons to control cohorts suggested a probable migration history distinct from the canonical narrative for medieval migration of orthodox Brahmin families to South India. Using Y-HG centroid analysis, chi-square analysis of TMRCA distributions and archeological find-spots, and discriminant function analysis we show that the parental Z93 L342.2 subclade in which LPKSTR occurs originated in West Asia and that LPKSTR individuals migrated toward the southeast by a Bolan Pass route distinct from the traditionally presumed route of Brahmin ingress into the Indian subcontinent. The proposed migration route is supported by archeological, toponymic, numismatic, linguistic, iconographic, and literary data. Lastly, we present cultural metrics demonstrating that these LPKSTR lineages retained distinct family practices with respect to literacy, religious practice, and emigration not shared with orthodox Brahmins of canonical geographic origin within the same community, despite centuries of intermarriage. Long-term transmission of differentiated family practices within a patrilineal endogamous community has rarely been documented. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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40. PhenX RISING: real world implementation and sharing of PhenX measures.
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McCarty, Catherine A., Wayne Huggins, Aiello, Allison E., Bilder, Robert M., Hariri, Ahmad, Jernigan, Terry L., Newman, Erik, Sanghera, Dharambir K., Strauman, Timothy J., Yi Zeng, Ramos, Erin M., and Junkins, Heather A.
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GENOMICS ,ACQUISITION of data ,EPIDEMIOLOGY ,DATABASES - Abstract
Background The purpose of this manuscript is to describe the PhenX RISING network and the site experiences in the implementation of PhenX measures into ongoing population-based genomic studies. Methods Eighty PhenX measures were implemented across the seven PhenX RISING groups, thirtythree of which were used at more than two sites, allowing for cross-site collaboration. Each site used between four and 37 individual measures and five of the sites are validating the PhenX measures through comparison with other study measures. Self-administered and computer-based administration modes are being evaluated at several sites which required changes to the original PhenX Toolkit protocols. A network-wide data use agreement was developed to facilitate data sharing and collaboration. Results PhenX Toolkit measures have been collected for more than 17,000 participants across the PhenX RISING network. The process of implementation provided information that was used to improve the PhenX Toolkit. The Toolkit was revised to allow researchers to select self- or interviewer administration when creating the data collection worksheets and ranges of specimens necessary to run biological assays has been added to the Toolkit. Conclusions The PhenX RISING network has demonstrated that the PhenX Toolkit measures can be implemented successfully in ongoing genomic studies. The next step will be to conduct gene/environment studies. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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41. No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis
- Author
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Loley, Christina, Alver, Maris, Assimes, Themistocles L., Bjonnes, Andrew, Goel, Anuj, Gustafsson, Stefan, Hernesniemi, Jussi, Hopewell, Jemma C., Kanoni, Stavroula, Kleber, Marcus E., Lau, King Wai, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Nelson, Christopher P., Nikpay, Majid, Qu, Liming, Salfati, Elias, Scholz, Markus, Tukiainen, Taru, Willenborg, Christina, Won, Hong-Hee, Zeng, Lingyao, Zhang, Weihua, Anand, Sonia S., Beutner, Frank, Bottinger, Erwin P., Clarke, Robert, Dedoussis, George, Do, Ron, Esko, Tõnu, Eskola, Markku, Farrall, Martin, Gauguier, Dominique, Giedraitis, Vilmantas, Granger, Christopher B., Hall, Alistair S., Hamsten, Anders, Hazen, Stanley L., Huang, Jie, Kähönen, Mika, Kyriakou, Theodosios, Laaksonen, Reijo, Lind, Lars, Lindgren, Cecilia, Magnusson, Patrik K. E., Marouli, Eirini, Mihailov, Evelin, Morris, Andrew P., Nikus, Kjell, Pedersen, Nancy, Rallidis, Loukianos, Salomaa, Veikko, Shah, Svati H., Stewart, Alexandre F. R., Thompson, John R., Zalloua, Pierre A., Chambers, John C., Collins, Rory, Ingelsson, Erik, Iribarren, Carlos, Karhunen, Pekka J., Kooner, Jaspal S., Lehtimäki, Terho, Loos, Ruth J. F., März, Winfried, McPherson, Ruth, Metspalu, Andres, Reilly, Muredach P., Ripatti, Samuli, Sanghera, Dharambir K., Thiery, Joachim, Watkins, Hugh, Deloukas, Panos, Kathiresan, Sekar, Samani, Nilesh J., Schunkert, Heribert, Erdmann, Jeanette, and König, Inke R.
- Abstract
In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.
- Published
- 2016
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42. Carriers of a novel frame-shift insertion in WNT16a possess elevated pancreatic expression of TCF7L2.
- Author
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Howard, Eric W., Been, Latonya F., Lerner, Megan, Brackett, Daniel, Lightfoot, Stan, Bullen, Elizabeth C., and Sanghera, Dharambir K.
- Subjects
GENETICS of type 2 diabetes ,GENE expression ,GLUCAGON-like peptide 1 ,GENETIC translation ,SERUM ,GENETIC regulation - Abstract
Background: The discovery of TCF7L2 as a global type 2 diabetes (T2D) gene has sparked investigations to explore the clinical utility of its variants for guiding the development of new diagnostic and therapeutic strategies. However, interpreting the resulting associations into function still remains unclear. Canonical Wnt signaling regulates β-catenin and its binding with TCF7L2, which in turn is critical for the production of glucagon-like peptide-1 (GLP-1). This study examines the role of a novel frame-shift insertion discovered in a conserved region of WNT16a, and it is proposed that this mutation affects T2D susceptibility in conjunction with gene variants in TCF7L2. Results: Our results predicted that the insertion would convert the upstream open reading frame in the Wnt16a mRNA to an alternative, in-frame translation initiation site, resulting in the prevention of nonsense-mediated decay, leading to a consequent stabilization of the mutated WNT16a message. To examine the role of Wnt16a in the Wnt signaling pathway, DNA and serum samples from 2,034 individuals (48% with T2D) from the Sikh Diabetes Study were used in this investigation. Prevalence of Wnt16a insertion did not differ among T2D cases (33%) and controls (32%). However, there was a 3.2 fold increase in Wnt16a mRNA levels in pancreatic tissues from the insertion carriers and a significant increase (70%, p < 0.0001) in luciferase activity in the constructs carrying the insertion. The expression of TCF7L2 mRNA in pancreas was also elevated (∼23-fold) among the insertion carriers (p=0.003). Conclusions: Our results suggest synergistic effects of WNT16a insertion and the at-risk 'T' allele of TCF7L2 (rs7903146) for elevating the expression of TCF7L2 in human pancreas which may affect the regulation of downstream target genes involved in the development of T2D through Wnt/β-catenin/TCF7L2 signaling pathway. However, further studies would be needed to mechanistically link the two definitively. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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43. A Replication Study of GWAS-Derived Lipid Genes in Asian Indians: The Chromosomal Region 11q23.3 Harbors Loci Contributing to Triglycerides.
- Author
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Braun, Timothy R., Been, Latonya F., Singhal, Akhil, Worsham, Jacob, Ralhan, Sarju, Wander, Gurpreet S., Chambers, John C., Kooner, Jaspal S., Aston, Christopher E., and Sanghera, Dharambir K.
- Subjects
TRIGLYCERIDES ,GENOMES ,LIPIDS ,DYSLIPIDEMIA ,CORONARY disease ,META-analysis ,INDIANS (Asians) - Abstract
Recent genome-wide association scans (GWAS) and meta-analysis studies on European populations have identified many genes previously implicated in lipid regulation. Validation of these loci on different global populations is important in determining their clinical relevance, particularly for development of novel drug targets for treating and preventing diabetic dyslipidemia and coronary artery disease (CAD). In an attempt to replicate GWAS findings on a non-European sample, we examined the role of six of these loci (CELSR2-PSRC1-SORT1 rs599839; CDKN2A-2B rs1333049; BUD13-ZNF259 rs964184; ZNF259 rs12286037; CETP rs3764261; APOE-C1-C4-C2 rs4420638) in our Asian Indian cohort from the Sikh Diabetes Study (SDS) comprising 3,781 individuals (2,902 from Punjab and 879 from the US). Two of the six SNPs examined showed convincing replication in these populations of Asian Indian origin. Our study confirmed a strong association of CETP rs3764261 with high-density lipoprotein cholesterol (HDL-C) (p = 2.03 ×10
-26 ). Our results also showed significant associations of two GWAS SNPs (rs964184 and rs12286037) from BUD13-ZNF259 near the APOA5-A4-C3-A1 genes with triglyceride (TG) levels in this Asian Indian cohort (rs964184: p = 1.74×10-17 ; rs12286037: p = 1.58×10-2 ). We further explored 45 SNPs in a ∼195 kb region within the chromosomal region 11q23.3 (encompassing the BUD13-ZNF259, APOA5- A4-C3-A1, and SIK3 genes) in 8,530 Asian Indians from the London Life Sciences Population (LOLIPOP) (UK) and SDS cohorts. Five more SNPs revealed significant associations with TG in both cohorts individually as well as in a joint meta-analysis. However, the strongest signal for TG remained with BUD13-ZNF259 (rs964184: p = 1.06×10-39 ). Future targeted deep sequencing and functional studies should enhance our understanding of the clinical relevance of these genes in dyslipidemia and hypertriglyceridemia (HTG) and, consequently, diabetes and CAD. [ABSTRACT FROM AUTHOR]- Published
- 2012
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44. Genome-Wide Linkage Scan to Identify Loci Associated with Type 2 Diabetes and Blood Lipid Phenotypes in the Sikh Diabetes Study.
- Author
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Sanghera, Dharambir K., Been, Latonya F., Ralhan, Sarju, Wander, Gurpreet S., Mehra, Narinder K., Singh, Jai Rup, Ferrell, Robert E., Kamboh, Mohammed I., and Aston, Christopher E.
- Subjects
- *
DIABETES , *BLOOD lipids , *TYPE 2 diabetes , *GENOMICS , *COHORT analysis , *GENE mapping , *BIOMARKERS , *SIKHS - Abstract
In this investigation, we have carried out an autosomal genome-wide linkage analysis to map genes associated with type 2 diabetes (T2D) and five quantitative traits of blood lipids including total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, very low-density lipoprotein (VLDL) cholesterol, and triglycerides in a unique family-based cohort from the Sikh Diabetes Study (SDS). A total of 870 individuals (526 male/344 female) from 321 families were successfully genotyped using 398 polymorphic microsatellite markers with an average spacing of 9.26 cM on the autosomes. Results of non-parametric multipoint linkage analysis using Sall statistics (implemented in Merlin) did not reveal any chromosomal region to be significantly associated with T2D in this Sikh cohort. However, linkage analysis for lipid traits using QTL-ALL analysis revealed promising linkage signals with p≤0.005 for total cholesterol, LDL cholesterol, and HDL cholesterol at chromosomes 5p15, 9q21, 10p11, 10q21, and 22q13. The most significant signal (p = 0.0011) occurred at 10q21.2 for HDL cholesterol. We also observed linkage signals for total cholesterol at 22q13.32 (p = 0.0016) and 5p15.33 (p = 0.0031) and for LDL cholesterol at 10p11.23 (p = 0.0045). Interestingly, some of linkage regions identified in this Sikh population coincide with plausible candidate genes reported in recent genome-wide association and meta-analysis studies for lipid traits. Our study provides the first evidence of linkage for loci associated with quantitative lipid traits at four chromosomal regions in this Asian Indian population from Punjab. More detailed examination of these regions with more informative genotyping, sequencing, and functional studies should lead to rapid detection of novel targets of therapeutic importance. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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45. Variants in KCNQ1 increase type II diabetes susceptibility in South Asians: A study of 3,310 subjects from India and the US.
- Author
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Been, Latonya F., Ralhan, Sarju, Wander, Gurpreet S., Mehra, Narinder K., Singh, JaiRup, Mulvihill, John J., Aston, Christopher E., and Sanghera, Dharambir K.
- Subjects
TYPE 2 diabetes ,GENETIC polymorphisms ,DISEASE susceptibility ,SOUTH Asians ,INTRONS - Abstract
Background: Polymorphisms in intron 15 of potassium voltage-gated channel, KQT-like subfamily member 1 (KCNQ1) gene have been associated with type II diabetes (T2D) in Japanese genome-wide association studies (GWAS). More recently a meta-analysis of European GWAS has detected a new independent signal associated with T2D in intron 11 of the KCNQ1 gene. The purpose of this investigation is to examine the role of these variants with T2D in populations of Asian Indian descent from India and the US. Methods: We examined the association between four variants in the KCNQ1 gene with T2D and related quantitative traits in a total of 3,310 Asian Indian participants from two different cohorts comprising 2,431 individuals of the Punjabi case-control cohort from the Sikh Diabetes Study and 879 migrant Asian Indians living in the US. Results: Our data confirmed the association of a new signal at the KCNQ1 locus (rs231362) with T2D showing an allelic odds ratio (OR) of 1.24 95%CI [1.08-1.43], p = 0.002 in the Punjabi cohort. A moderate association with T2D was also seen for rs2237895 in the Punjabi (OR 1.14; p = 0.036) and combined cohorts (meta-analysis OR 1.14; p = 0.018). Three-site haplotype analysis of rs231362, rs2237892, rs2237895 exhibited considerably stronger evidence of association of the GCC haplotype with T2D showing OR of 1.24 95%CI [1.00-1.53], p = 0.001, permutation p = 8 × 10
-4 in combined cohorts. The 'C' risk allele carriers of rs2237895 had significantly reduced measures of HOMA-B in the US cohort (p = 0.008) as well as in combined cohort in meta-analysis (p = 0.009). Conclusions: Our investigation has confirmed that the variation within the KCNQ1 locus confers a significant risk to T2D among Asian Indians. Haplotype analysis further suggested that the T2D risk associated with KCNQ1 SNPs may be derived from 'G' allele of rs231362 and 'C' allele of rs2237895 and this appears to be mediated through β cell function. [ABSTRACT FROM AUTHOR]- Published
- 2011
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- View/download PDF
46. Replication of Association Between a Common Variant Near Melanocortin-4 Receptor Gene and Obesity-related Traits in Asian Sikhs.
- Author
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Been, Latonya F., Nath, Swapan K., Ralhan, Sarju K., Wander, Gurpreet S., Mehra, Narinder K., Singh, Jairup, Mulvihill, John J., and Sanghera, Dharambir K.
- Subjects
INSULIN resistance ,OBESITY ,INDIANS (Asians) ,SIKHS ,ASIANS - Abstract
Recent genome-wide association studies (GWAS) in Asian Indians reported strong associations of variants near melanocortin-4 receptor (MC4R) and MLX interacting protein-like (MLXIPL) genes with insulin resistance and several obesity-related quantitative traits (QTs). Here, we evaluated the association of two variants (rs12970134 and rs4450508) near MC4R and a nonsynonymous (Gln241His) variant (rs3812316) in MLXIPL gene with type 2 diabetes (T2D) and obesity-related QTs in our case–control cohort (n = 1,528; 745 T2D cases and 783 controls) from a Sikh population from North India. We have successfully replicated the association of MC4R (rs12970134) with BMI (P = 0.0005), total weight (WT) (P = 0.001), and waist circumference (WC) (P = 0.001). These associations remained significant after controlling for multiple testing by applying Bonferroni's correction. However, our data did not confirm the association of rs3812316 in the MLXIPL gene with triglyceride (TG) levels. These observations demonstrate that the genetic variation in MC4R locus can have a moderate contribution in the regional fat deposition and development of central obesity in Asian Indians. [ABSTRACT FROM AUTHOR]
- Published
- 2010
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- View/download PDF
47. Testing the association of novel meta-analysis-derived diabetes risk genes with type II diabetes and related metabolic traits in Asian Indian Sikhs.
- Author
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Sanghera, Dharambir K., Been, Latonya, Ortega, Lyda, Wander, Gurpreet S., Mehra, Narinder K., Aston, Christopher E, Mulvihill, John J., and Ralhan, Sarju
- Subjects
- *
HUMAN genetics , *DIABETES risk factors , *TYPE 2 diabetes , *INSULIN , *GENETIC polymorphisms , *META-analysis - Abstract
A recent meta-analysis on three genome-wide association (GWA) scans identified six loci (NOTCH2, THADA, ADAMTS9, JAZF1, CDC123/CAMKID and TSPAN8/LGRS) highly associated with type II diabetes (T2D) in Caucasians. This investigation seeks to confirm this association with diabetes and related metabolic traits in Khatri Sikh diabetics of North India. We genotyped highly significant variants from each locus in a case–control cohort consisting of 680 T2D cases and 637 normoglycemic (NG) controls. Only CDC123/CAMKID (rs12779790) replicated earlier evidence of association with T2D under a dominant model (odds ratio (OR): 1.27; 95% confidence interval (CI): 1.02–1.57; P=0.031) during initial testing. However, we could not confirm this association using multiple testing corrections. In a multiple linear-regression analysis, the same variant in the CDC123/CAMKID revealed a marked decrease in fasting insulin levels among ‘G’ (risk) allele carriers independently in NG controls (P=0.030) and in T2D cases (P=0.009), as well as in the combined sample (P=0.003) after adjusting for covariates. Evidence of impaired β-cell function was also observed among ‘G’ (risk) allele carriers in T2D cases (P=0.008) and in a combined cohort (P=0.026). Our data could not confirm the role of the remaining variants with risk either for T2D or quantitative phenotypes measuring insulin secretion or insulin resistance. These findings suggest that CDC123/CAMKID could be a major risk factor for the development of T2D in Sikhs by affecting β-cell function. To our knowledge, this is the first study reporting the role of recently emerging loci in this high-risk population from the South Asian subcontinent.Journal of Human Genetics (2009) 54, 162–168; doi:10.1038/jhg.2009.7; published online 27 February 2009 [ABSTRACT FROM AUTHOR]
- Published
- 2009
- Full Text
- View/download PDF
48. Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk.
- Author
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Sanghera, Dharambir K., Ortega, Lyda, Shizhong Han, Singh, Jairup, Ralhan, Sarju K., Wander, Gurpreet S., Mehra, Narinder K., Mulvihill, John J., Ferrell, Robert E., Nath, Swapan K., and Kamboh, Mohammed I.
- Subjects
- *
GENOMICS , *GENOMES , *GENES , *DIABETES , *RESEARCH - Abstract
Background: Recent genome-wide association (GWA) studies have identified several unsuspected genes associated with type 2 diabetes (T2D) with previously unknown functions. In this investigation, we have examined the role of 9 most significant SNPs reported in GWA studies: [peroxisome proliferator-activated receptor gamma 2 (PPARG2; rs 1801282); insulin-like growth factor two binding protein 2 (IGF2BP2; rs 4402960); cyclin-dependent kinase 5, a regulatory subunit-associated protein1-like 1 (CDK5; rs7754840); a zinc transporter and member of solute carrier family 30 (SLC30A8; rs13266634); a variant found near cyclin-dependent kinase inhibitor 2A (CDKN2A; rs10811661); hematopoietically expressed homeobox (HHEX; rs 1111875); transcription factor-7-like 2 (TCF7L2; rs 10885409); potassium inwardly rectifying channel subfamily J member 11(KCNJ11; rs 5219); and fat mass obesity-associated gene (FTO; rs 9939609)]. Methods: We genotyped these SNPs in a case-control sample of 918 individuals consisting of 532 T2D cases and 386 normal glucose tolerant (NGT) subjects of an Asian Sikh community from North India. We tested the association between T2D and each SNP using unconditional logistic regression before and after adjusting for age, gender, and other covariates. We also examined the impact of these variants on body mass index (BMI), waist to hip ratio (WHR), fasting insulin, and glucose and lipid levels using multiple linear regression analysis. Results: Four of the nine SNPs revealed a significant association with T2D; PPARG2 (Pro12Ala) [odds ratio (OR) 0.12; 95% confidence interval (CI) (0.03-0.52); p = 0.005], IGF2BP2 [OR 1.37; 95% CI (1.04-1.82); p = 0.027], TCF7L2 [OR 1.64; 95% CI (1.20-2.24); p = 0.001] and FTO [OR 1.46; 95% CI (1.11-1.93); p = 0.007] after adjusting for age, sex and BMI. Multiple linear regression analysis revealed significant association of two of nine investigated loci with diabetes-related quantitative traits. The 'C' (risk) allele of CDK5 (rs 7754840) was significantly associated with decreased HDL-cholesterol levels in both NGT (p = 0.005) and combined (NGT and T2D) (0.005) groups. The less common 'C' (risk) allele of TCF7L2 (rs 10885409) was associated with increased LDL-cholesterol (p = 0.010) in NGT and total and LDL-cholesterol levels (p = 0.008; p = 0.003, respectively) in combined cohort. Conclusion: To our knowledge, this is first study reporting the role of some recently emerged loci with T2D in a high risk population of Asian Indian origin. Further investigations are warranted to understand the pathway-based functional implications of these important loci in T2D pathophysiology in different ethnicities. [ABSTRACT FROM AUTHOR]
- Published
- 2008
- Full Text
- View/download PDF
49. Single Nucleotide Polymorphisms in the Coding Region of the Apolipoprotein H (β2-Glycoprotein I) Gene and their Correlation with the Protein Polymorphism, Anti-β2Glycoprotein I Antibodies and Cardiolipin Binding: Description of Novel Haplotypes and Their Evolution
- Author
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Kamboh, M. Ilyas, Sanghera, Dharambir K., Mehdi, Haider, Nestlerode, Cara S., Chen, Qi, Khalifa, Osama, Naqvi, Asma, Manzi, Susan, and Bunker, Clareann H.
- Subjects
- *
APOLIPOPROTEINS , *GENETIC polymorphisms , *PHOSPHOLIPID antibodies , *AUTOIMMUNE diseases , *ANTIPHOSPHOLIPID syndrome - Abstract
Apolipoprotein H ( APOH), also known as β2-glycoprotein I, is a major autoantigen for the production of antiphospholipid antibodies (APA) in autoimmune diseases. APA is also recognized by a cryptic epitope generated following the interaction of APOH with anionic phospholipids (PL). The prevalence of APA in the general U.S. white population is about 10%, but it ranges from 30–70% in patients with lupus and antiphospholipid syndrome. Since the structural characterization of APOH from different mammalian species is important to identify the evolutionary conserved regions that may be critical for its function, we have previously determined the chimpanzee APOH gene structure and the prevalence of APA. There are only two amino acid differences between the chimpanzee and human wild type APOH proteins. Chimpanzees have an unusually high prevalence (64%) of APA. There is a common protein polymorphism in the human APOH gene, with the occurrence of four alleles APOH*1, APOH*2, APOH*3 and APOH*4, the latter being present only in blacks. Based on its differential reactivity with an APOH monoclonal antibody, the APOH*3 allele is further divided into APOH*3W (present only in whites) and APOH*3B (present only in blacks). In this study we have screened a large African population (n = 755) to determine the prevalence of APA and the molecular basis of the protein polymorphism. Almost 50% of the Africans were found to be positive for APA. The APOH*3B allele was found to be identical to the chimpanzee's wild type APOH. Novel two-site or three-site haplotypes, encoded in the third domain of APOH, explained the molecular basis of the APOH*3B, APOH*3W and APOH*4 alleles. Based on the comparison of the human and chimpanzee APOH DNA sequences, we suggest that the APOH*3W and APOH*4 alleles arose on the ancestral APOH*3B haplotype after the split of human races. We also found that these haplotypes are associated with the occurrence of APA. Recombinant APOH haplotypes, expressed in COS-1 cells, showed that these mutations also affect the binding of APOH to anionic PL. [ABSTRACT FROM AUTHOR]
- Published
- 2004
- Full Text
- View/download PDF
50. Structure of the human β2‐glycoprotein I (apolipoprotein H) gene*.
- Author
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Okkels, Henrik, Rasmussen, Thomas E., Sanghera, Dharambir K., Kamboh, M. Ilyas, and Kristensen, Torsten
- Subjects
GLYCOPROTEINS ,BLOOD proteins ,BIOCHEMISTRY ,CHEMICAL structure - Abstract
The gene encoding the human plasma protein β
2 ‐glycoprotein I or apolipoprotein H was cloned and its structure determined. The gene which consists of eight exons was shown to span 18 kb and was localized to chromosome 17q23‐24. The transcriptional initiation site was assigned to a position 31 bp upstream of the start codon. Several consensus sequence elements relevant for regulation of transcription in liver were seen in the 5′‐upstream region of the gene. Exon 1 contains the 5′‐UTR together with the signal peptide coding sequences. Short consensus repeats (SCRs) 1, 3, 4, and 5 are encoded by single exons each while SCR2 is encoded by two exons. Exon 8 comprises the region encoding the C‐terminal end of β2 ‐glycoprotein I (from His‐310), the stop codon and the 3′‐UTR. [ABSTRACT FROM AUTHOR]- Published
- 1999
- Full Text
- View/download PDF
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