859 results on '"Edwards, Todd L"'
Search Results
2. Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
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Keaton, Jacob M., Kamali, Zoha, Xie, Tian, Vaez, Ahmad, Williams, Ariel, Goleva, Slavina B., Ani, Alireza, Evangelou, Evangelos, Hellwege, Jacklyn N., Yengo, Loic, Young, William J., Traylor, Matthew, Giri, Ayush, Zheng, Zhili, Zeng, Jian, Chasman, Daniel I., Morris, Andrew P., Caulfield, Mark J., Hwang, Shih-Jen, Kooner, Jaspal S., Conen, David, Attia, John R., Morrison, Alanna C., Loos, Ruth J. F., Kristiansson, Kati, Schmidt, Reinhold, Hicks, Andrew A., Pramstaller, Peter P., Nelson, Christopher P., Samani, Nilesh J., Risch, Lorenz, Gyllensten, Ulf, Melander, Olle, Riese, Harriette, Wilson, James F., Campbell, Harry, Rich, Stephen S., Psaty, Bruce M., Lu, Yingchang, Rotter, Jerome I., Guo, Xiuqing, Rice, Kenneth M., Vollenweider, Peter, Sundström, Johan, Langenberg, Claudia, Tobin, Martin D., Giedraitis, Vilmantas, Luan, Jian’an, Tuomilehto, Jaakko, Kutalik, Zoltan, Ripatti, Samuli, Salomaa, Veikko, Girotto, Giorgia, Trompet, Stella, Jukema, J. Wouter, van der Harst, Pim, Ridker, Paul M., Giulianini, Franco, Vitart, Veronique, Goel, Anuj, Watkins, Hugh, Harris, Sarah E., Deary, Ian J., van der Most, Peter J., Oldehinkel, Albertine J., Keavney, Bernard D., Hayward, Caroline, Campbell, Archie, Boehnke, Michael, Scott, Laura J., Boutin, Thibaud, Mamasoula, Chrysovalanto, Järvelin, Marjo-Riitta, Peters, Annette, Gieger, Christian, Lakatta, Edward G., Cucca, Francesco, Hui, Jennie, Knekt, Paul, Enroth, Stefan, De Borst, Martin H., Polašek, Ozren, Concas, Maria Pina, Catamo, Eulalia, Cocca, Massimiliano, Li-Gao, Ruifang, Hofer, Edith, Schmidt, Helena, Spedicati, Beatrice, Waldenberger, Melanie, Strachan, David P., Laan, Maris, Teumer, Alexander, Dörr, Marcus, Gudnason, Vilmundur, Cook, James P., Ruggiero, Daniela, Kolcic, Ivana, Boerwinkle, Eric, Traglia, Michela, Lehtimäki, Terho, Raitakari, Olli T., Johnson, Andrew D., Newton-Cheh, Christopher, Brown, Morris J., Dominiczak, Anna F., Sever, Peter J., Poulter, Neil, Chambers, John C., Elosua, Roberto, Siscovick, David, Esko, Tõnu, Metspalu, Andres, Strawbridge, Rona J., Laakso, Markku, Hamsten, Anders, Hottenga, Jouke-Jan, de Geus, Eco, Morris, Andrew D., Palmer, Colin N. A., Nolte, Ilja M., Milaneschi, Yuri, Marten, Jonathan, Wright, Alan, Zeggini, Eleftheria, Howson, Joanna M. M., O’Donnell, Christopher J., Spector, Tim, Nalls, Mike A., Simonsick, Eleanor M., Liu, Yongmei, van Duijn, Cornelia M., Butterworth, Adam S., Danesh, John N., Menni, Cristina, Wareham, Nicholas J., Khaw, Kay-Tee, Sun, Yan V., Wilson, Peter W. F., Cho, Kelly, Visscher, Peter M., Denny, Joshua C., Levy, Daniel, Edwards, Todd L., Munroe, Patricia B., Snieder, Harold, and Warren, Helen R.
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- 2024
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3. Genetic predictors of blood pressure traits are associated with preeclampsia
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Jasper, Elizabeth A., Hellwege, Jacklyn N., Breeyear, Joseph H., Xiao, Brenda, Jarvik, Gail P., Stanaway, Ian B., Leppig, Kathleen A., Chittoor, Geetha, Hayes, M. Geoffrey, Dikilitas, Ozan, Kullo, Iftikhar J., Holm, Ingrid A., Verma, Shefali Setia, Edwards, Todd L., and Velez Edwards, Digna R.
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- 2024
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4. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements
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Scholz, Markus, Horn, Katrin, Pott, Janne, Wuttke, Matthias, Kühnapfel, Andreas, Nasr, M. Kamal, Kirsten, Holger, Li, Yong, Hoppmann, Anselm, Gorski, Mathias, Ghasemi, Sahar, Li, Man, Tin, Adrienne, Chai, Jin-Fang, Cocca, Massimiliano, Wang, Judy, Nutile, Teresa, Akiyama, Masato, Åsvold, Bjørn Olav, Bansal, Nisha, Biggs, Mary L., Boutin, Thibaud, Brenner, Hermann, Brumpton, Ben, Burkhardt, Ralph, Cai, Jianwen, Campbell, Archie, Campbell, Harry, Chalmers, John, Chasman, Daniel I., Chee, Miao Ling, Chee, Miao Li, Chen, Xu, Cheng, Ching-Yu, Cifkova, Renata, Daviglus, Martha, Delgado, Graciela, Dittrich, Katalin, Edwards, Todd L., Endlich, Karlhans, Michael Gaziano, J., Giri, Ayush, Giulianini, Franco, Gordon, Scott D., Gudbjartsson, Daniel F., Hallan, Stein, Hamet, Pavel, Hartman, Catharina A., Hayward, Caroline, Heid, Iris M., Hellwege, Jacklyn N., Holleczek, Bernd, Holm, Hilma, Hutri-Kähönen, Nina, Hveem, Kristian, Isermann, Berend, Jonas, Jost B., Joshi, Peter K., Kamatani, Yoichiro, Kanai, Masahiro, Kastarinen, Mika, Khor, Chiea Chuen, Kiess, Wieland, Kleber, Marcus E., Körner, Antje, Kovacs, Peter, Krajcoviechova, Alena, Kramer, Holly, Krämer, Bernhard K., Kuokkanen, Mikko, Kähönen, Mika, Lange, Leslie A., Lash, James P., Lehtimäki, Terho, Li, Hengtong, Lin, Bridget M., Liu, Jianjun, Loeffler, Markus, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K. E., Martin, Nicholas G., Matsuda, Koichi, Milaneschi, Yuri, Mishra, Pashupati P., Mononen, Nina, Montgomery, Grant W., Mook-Kanamori, Dennis O., Mychaleckyj, Josyf C., März, Winfried, Nauck, Matthias, Nikus, Kjell, Nolte, Ilja M., Noordam, Raymond, Okada, Yukinori, Olafsson, Isleifur, Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Perola, Markus, Pirastu, Nicola, Polasek, Ozren, Porteous, David J., Poulain, Tanja, Psaty, Bruce M., Rabelink, Ton J., Raffield, Laura M., Raitakari, Olli T., Rasheed, Humaira, Reilly, Dermot F., Rice, Kenneth M., Richmond, Anne, Ridker, Paul M., Rotter, Jerome I., Rudan, Igor, Sabanayagam, Charumathi, Salomaa, Veikko, Schneiderman, Neil, Schöttker, Ben, Sims, Mario, Snieder, Harold, Stark, Klaus J., Stefansson, Kari, Stocker, Hannah, Stumvoll, Michael, Sulem, Patrick, Sveinbjornsson, Gardar, Svensson, Per O., Tai, E-Shyong, Taylor, Kent D., Tayo, Bamidele O., Teren, Andrej, Tham, Yih-Chung, Thiery, Joachim, Thio, Chris H. L., Thomas, Laurent F., Tremblay, Johanne, Tönjes, Anke, van der Most, Peter J., Vitart, Veronique, Völker, Uwe, Wang, Ya Xing, Wang, Chaolong, Wei, Wen Bin, Whitfield, John B., Wild, Sarah H., Wilson, James F., Winkler, Thomas W., Wong, Tien-Yin, Woodward, Mark, Sim, Xueling, Chu, Audrey Y., Feitosa, Mary F., Thorsteinsdottir, Unnur, Hung, Adriana M., Teumer, Alexander, Franceschini, Nora, Parsa, Afshin, Köttgen, Anna, Schlosser, Pascal, and Pattaro, Cristian
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- 2024
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5. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
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Wang, Anqi, Shen, Jiayi, Rodriguez, Alex A., Saunders, Edward J., Chen, Fei, Janivara, Rohini, Darst, Burcu F., Sheng, Xin, Xu, Yili, Chou, Alisha J., Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N., Plym, Anna, Sahimi, Ali, Hoffman, Thomas J., Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Laisk, Triin, Figuerêdo, Jéssica, Muir, Kenneth, Ito, Shuji, Liu, Xiaoxi, Uchio, Yuji, Kubo, Michiaki, Kamatani, Yoichiro, Lophatananon, Artitaya, Wan, Peggy, Andrews, Caroline, Lori, Adriana, Choudhury, Parichoy P., Schleutker, Johanna, Tammela, Teuvo L. J., Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G., Southey, Melissa C., MacInnis, Robert J., Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Rentsch, Christopher T., Cho, Kelly, Mcmahon, Benjamin H., Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Martin, Richard M., Nordestgaard, Borge G., Nielsen, Sune F., Weischer, Maren, Bojesen, Stig E., Røder, Andreas, Stroomberg, Hein V., Batra, Jyotsna, Chambers, Suzanne, Horvath, Lisa, Clements, Judith A., Tilly, Wayne, Risbridger, Gail P., Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordstrom, Tobias, Pashayan, Nora, Dunning, Alison M., Ghoussaini, Maya, Travis, Ruth C., Key, Tim J., Riboli, Elio, Park, Jong Y., Sellers, Thomas A., Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie, Cook, Michael B., Mucci, Lorelei A., Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J., Penney, Kathryn L., Turman, Constance, Tangen, Catherine M., Goodman, Phyllis J., Thompson, Jr., Ian M., Hamilton, Robert J., Fleshner, Neil E., Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L., Ostrander, Elaine A., Koutros, Stella, Beane Freeman, Laura E., Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L., Hoover, Robert N., Machiela, Mitchell J., Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J., Zheng, Wei, Yeboah, Edward D., Mensah, James E., Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Wu, Yudong, Zhao, Shan-Chao, Sun, Zan, Thibodeau, Stephen N., McDonnell, Shannon K., Schaid, Daniel J., West, Catharine M. L., Barnett, Gill, Maier, Christiane, Schnoeller, Thomas, Luedeke, Manuel, Kibel, Adam S., Drake, Bettina F., Cussenot, Olivier, Cancel-Tassin, Geraldine, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, John, Esther M., Grindedal, Eli Marie, Maehle, Lovise, Khaw, Kay-Tee, Ingles, Sue A., Stern, Mariana C., Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Rosenstein, Barry S., Kerns, Sarah L., Ostrer, Harry, Teixeira, Manuel R., Paulo, Paula, Brandão, Andreia, Watya, Stephen, Lubwama, Alexander, Bensen, Jeannette T., Butler, Ebonee N., Mohler, James L., Taylor, Jack A., Kogevinas, Manolis, Dierssen-Sotos, Trinidad, Castaño-Vinyals, Gemma, Cannon-Albright, Lisa, Teerlink, Craig C., Huff, Chad D., Pilie, Patrick, Yu, Yao, Bohlender, Ryan J., Gu, Jian, Strom, Sara S., Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Kaneva, Radka, Slavov, Chavdar, Mitev, Vanio, Leach, Robin J., Brenner, Hermann, Chen, Xuechen, Holleczek, Bernd, Schöttker, Ben, Klein, Eric A., Hsing, Ann W., Kittles, Rick A., Murphy, Adam B., Logothetis, Christopher J., Kim, Jeri, Neuhausen, Susan L., Steele, Linda, Ding, Yuan Chun, Isaacs, William B., Nemesure, Barbara, Hennis, Anselm J. M., Carpten, John, Pandha, Hardev, Michael, Agnieszka, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Xu, Jianfeng, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Newcomb, Lisa F., Lin, Daniel W., Fowke, Jay H., Neslund-Dudas, Christine M., Rybicki, Benjamin A., Gamulin, Marija, Lessel, Davor, Kulis, Tomislav, Usmani, Nawaid, Abraham, Aswin, Singhal, Sandeep, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van den Broeck, Thomas, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Larkin, Samantha, Townsend, Paul A., Aukim-Hastie, Claire, Bush, William S., Aldrich, Melinda C., Crawford, Dana C., Srivastava, Shiv, Cullen, Jennifer, Petrovics, Gyorgy, Casey, Graham, Wang, Ying, Tettey, Yao, Lachance, Joseph, Tang, Wei, Biritwum, Richard B., Adjei, Andrew A., Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Yamoah, Kosj, Govindasami, Koveela, Chokkalingam, Anand P., Keaton, Jacob M., Hellwege, Jacklyn N., Clark, Peter E., Jalloh, Mohamed, Gueye, Serigne M., Niang, Lamine, Ogunbiyi, Olufemi, Shittu, Olayiwola, Amodu, Olukemi, Adebiyi, Akindele O., Aisuodionoe-Shadrach, Oseremen I., Ajibola, Hafees O., Jamda, Mustapha A., Oluwole, Olabode P., Nwegbu, Maxwell, Adusei, Ben, Mante, Sunny, Darkwa-Abrahams, Afua, Diop, Halimatou, Gundell, Susan M., Roobol, Monique J., Jenster, Guido, van Schaik, Ron H. N., Hu, Jennifer J., Sanderson, Maureen, Kachuri, Linda, Varma, Rohit, McKean-Cowdin, Roberta, Torres, Mina, Preuss, Michael H., Loos, Ruth J. F., Zawistowski, Matthew, Zöllner, Sebastian, Lu, Zeyun, Van Den Eeden, Stephen K., Easton, Douglas F., Ambs, Stefan, Edwards, Todd L., Mägi, Reedik, Rebbeck, Timothy R., Fritsche, Lars, Chanock, Stephen J., Berndt, Sonja I., Wiklund, Fredrik, Nakagawa, Hidewaki, Witte, John S., Gaziano, J. Michael, Justice, Amy C., Mancuso, Nick, Terao, Chikashi, Eeles, Rosalind A., Kote-Jarai, Zsofia, Madduri, Ravi K., Conti, David V., and Haiman, Christopher A.
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- 2023
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6. Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target
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Roychowdhury, Tanmoy, Klarin, Derek, Levin, Michael G., Spin, Joshua M., Rhee, Yae Hyun, Deng, Alicia, Headley, Colwyn A., Tsao, Noah L., Gellatly, Corry, Zuber, Verena, Shen, Fred, Hornsby, Whitney E., Laursen, Ina Holst, Verma, Shefali S., Locke, Adam E., Einarsson, Gudmundur, Thorleifsson, Gudmar, Graham, Sarah E., Dikilitas, Ozan, Pattee, Jack W., Judy, Renae L., Pauls-Verges, Ferran, Nielsen, Jonas B., Wolford, Brooke N., Brumpton, Ben M., Dilmé, Jaume, Peypoch, Olga, Juscafresa, Laura Calsina, Edwards, Todd L., Li, Dadong, Banasik, Karina, Brunak, Søren, Jacobsen, Rikke L., Garcia-Barrio, Minerva T., Zhang, Jifeng, Rasmussen, Lars M., Lee, Regent, Handa, Ashok, Wanhainen, Anders, Mani, Kevin, Lindholt, Jes S., Obel, Lasse M., Strauss, Ewa, Oszkinis, Grzegorz, Nelson, Christopher P., Saxby, Katie L., van Herwaarden, Joost A., van der Laan, Sander W., van Setten, Jessica, Camacho, Mercedes, Davis, Frank M., Wasikowski, Rachael, Tsoi, Lam C., Gudjonsson, Johann E., Eliason, Jonathan L., Coleman, Dawn M., Henke, Peter K., Ganesh, Santhi K., Chen, Y. Eugene, Guan, Weihua, Pankow, James S., Pankratz, Nathan, Pedersen, Ole B., Erikstrup, Christian, Tang, Weihong, Hveem, Kristian, Gudbjartsson, Daniel, Gretarsdottir, Solveig, Thorsteinsdottir, Unnur, Holm, Hilma, Stefansson, Kari, Ferreira, Manuel A., Baras, Aris, Kullo, Iftikhar J., Ritchie, Marylyn D., Christensen, Alex H., Iversen, Kasper K., Eldrup, Nikolaj, Sillesen, Henrik, Ostrowski, Sisse R., Bundgaard, Henning, Ullum, Henrik, Burgess, Stephen, Gill, Dipender, Gallagher, Katherine, Sabater-Lleal, Maria, Surakka, Ida, Jones, Gregory T., Bown, Matthew J., Tsao, Philip S., Willer, Cristen J., and Damrauer, Scott M.
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- 2023
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7. Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension
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Kelly, Tanika N, Sun, Xiao, He, Karen Y, Brown, Michael R, Taliun, Sarah A Gagliano, Hellwege, Jacklyn N, Irvin, Marguerite R, Mi, Xuenan, Brody, Jennifer A, Franceschini, Nora, Guo, Xiuqing, Hwang, Shih-Jen, de Vries, Paul S, Gao, Yan, Moscati, Arden, Nadkarni, Girish N, Yanek, Lisa R, Elfassy, Tali, Smith, Jennifer A, Chung, Ren-Hua, Beitelshees, Amber L, Patki, Amit, Aslibekyan, Stella, Blobner, Brandon M, Peralta, Juan M, Assimes, Themistocles L, Palmas, Walter R, Liu, Chunyu, Bress, Adam P, Huang, Zhijie, Becker, Lewis C, Hwa, Chii-Min, O’Connell, Jeffrey R, Carlson, Jenna C, Warren, Helen R, Das, Sayantan, Giri, Ayush, Martin, Lisa W, Johnson, W Craig, Fox, Ervin R, Bottinger, Erwin P, Razavi, Alexander C, Vaidya, Dhananjay, Chuang, Lee-Ming, Chang, Yen-Pei C, Naseri, Take, Jain, Deepti, Kang, Hyun Min, Hung, Adriana M, Srinivasasainagendra, Vinodh, Snively, Beverly M, Gu, Dongfeng, Montasser, May E, Reupena, Muagututi A Sefuiva, Heavner, Benjamin D, LeFaive, Jonathon, Hixson, James E, Rice, Kenneth M, Wang, Fei Fei, Nielsen, Jonas B, Huang, Jianfeng, Khan, Alyna T, Zhou, Wei, Nierenberg, Jovia L, Laurie, Cathy C, Armstrong, Nicole D, Shi, Mengyao, Pan, Yang, Stilp, Adrienne M, Emery, Leslie, Wong, Quenna, Hawley, Nicola L, Minster, Ryan L, Curran, Joanne E, Munroe, Patricia B, Weeks, Daniel E, North, Kari E, Tracy, Russell P, Kenny, Eimear E, Shimbo, Daichi, Chakravarti, Aravinda, Rich, Stephen S, Reiner, Alex P, Blangero, John, Redline, Susan, Mitchell, Braxton D, Rao, Dabeeru C, Chen, Yii-Der Ida, Kardia, Sharon LR, Kaplan, Robert C, Mathias, Rasika A, He, Jiang, Psaty, Bruce M, Fornage, Myriam, Loos, Ruth JF, Correa, Adolfo, Boerwinkle, Eric, Rotter, Jerome I, Kooperberg, Charles, and Edwards, Todd L
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Human Genome ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Cardiovascular ,Good Health and Well Being ,Blood Pressure ,Genome-Wide Association Study ,Genomics ,Humans ,Hypertension ,Polymorphism ,Single Nucleotide ,Precision Medicine ,allele ,blood pressure ,genome ,hypertension ,whole genome sequencing ,Samoan Obesity ,Lifestyle ,and Genetic Adaptations Study (OLaGA) Group ,‡ NHLBI Trans-Omics for Precision Medicine TOPMed) Consortium ,Cardiorespiratory Medicine and Haematology ,Public Health and Health Services ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundThe availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.MethodsWe conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.ResultsTwo blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (P
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- 2022
8. Soluble glycoprotein VI predicts abdominal aortic aneurysm growth rate and is a novel therapeutic target
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Benson, Tyler W., Pike, Mindy M., Spuzzillo, Anthony, Hicks, Sarah M., Ali, Sidra, Pham, Michael, Mix, Doran S., Brunner, Seth I., Wadding-Lee, Caris, Conrad, Kelsey A., Russell, Hannah M., Jennings, Courtney, Coughlin, Taylor M., Aggarwal, Anu, Lyden, Sean, Mani, Kevin, Björck, Martin, Wanhainen, Anders, Bhandari, Rohan, Lipworth-Elliot, Loren, Robinson-Cohen, Cassianne, Caputo, Francis J., Shim, Sharon, Quesada, Odayme, Tourdot, Benjamin, Edwards, Todd L., Tranter, Michael, Gardiner, Elizabeth E., Mackman, Nigel, Cameron, Scott J., and Owens, A. Phillip, III
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- 2024
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9. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation
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Vujkovic, Marijana, Ramdas, Shweta, Lorenz, Kim M, Guo, Xiuqing, Darlay, Rebecca, Cordell, Heather J, He, Jing, Gindin, Yevgeniy, Chung, Chuhan, Myers, Robert P, Schneider, Carolin V, Park, Joseph, Lee, Kyung Min, Serper, Marina, Carr, Rotonya M, Kaplan, David E, Haas, Mary E, MacLean, Matthew T, Witschey, Walter R, Zhu, Xiang, Tcheandjieu, Catherine, Kember, Rachel L, Kranzler, Henry R, Verma, Anurag, Giri, Ayush, Klarin, Derek M, Sun, Yan V, Huang, Jie, Huffman, Jennifer E, Creasy, Kate Townsend, Hand, Nicholas J, Liu, Ching-Ti, Long, Michelle T, Yao, Jie, Budoff, Matthew, Tan, Jingyi, Li, Xiaohui, Lin, Henry J, Chen, Yii-Der Ida, Taylor, Kent D, Chang, Ruey-Kang, Krauss, Ronald M, Vilarinho, Silvia, Brancale, Joseph, Nielsen, Jonas B, Locke, Adam E, Jones, Marcus B, Verweij, Niek, Baras, Aris, Reddy, K Rajender, Neuschwander-Tetri, Brent A, Schwimmer, Jeffrey B, Sanyal, Arun J, Chalasani, Naga, Ryan, Kathleen A, Mitchell, Braxton D, Gill, Dipender, Wells, Andrew D, Manduchi, Elisabetta, Saiman, Yedidya, Mahmud, Nadim, Miller, Donald R, Reaven, Peter D, Phillips, Lawrence S, Muralidhar, Sumitra, DuVall, Scott L, Lee, Jennifer S, Assimes, Themistocles L, Pyarajan, Saiju, Cho, Kelly, Edwards, Todd L, Damrauer, Scott M, Wilson, Peter W, Gaziano, J Michael, O’Donnell, Christopher J, Khera, Amit V, Grant, Struan FA, Brown, Christopher D, Tsao, Philip S, Saleheen, Danish, Lotta, Luca A, Bastarache, Lisa, Anstee, Quentin M, Daly, Ann K, Meigs, James B, Rotter, Jerome I, Lynch, Julie A, Rader, Daniel J, Voight, Benjamin F, and Chang, Kyong-Mi
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Genetics ,Liver Disease ,Human Genome ,Digestive Diseases ,Chronic Liver Disease and Cirrhosis ,Aetiology ,2.1 Biological and endogenous factors ,Alanine Transaminase ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Genome-Wide Association Study ,Humans ,Intracellular Signaling Peptides and Proteins ,Lipase ,Membrane Proteins ,Non-alcoholic Fatty Liver Disease ,Polymorphism ,Single Nucleotide ,Protein Serine-Threonine Kinases ,Regeneron Genetics Center ,Geisinger-Regeneron DiscovEHR Collaboration ,EPoS Consortium ,VA Million Veteran Program ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Nonalcoholic fatty liver disease (NAFLD) is a growing cause of chronic liver disease. Using a proxy NAFLD definition of chronic elevation of alanine aminotransferase (cALT) levels without other liver diseases, we performed a multiancestry genome-wide association study (GWAS) in the Million Veteran Program (MVP) including 90,408 cALT cases and 128,187 controls. Seventy-seven loci exceeded genome-wide significance, including 25 without prior NAFLD or alanine aminotransferase associations, with one additional locus identified in European American-only and two in African American-only analyses (P
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- 2022
10. A new test for trait mean and variance detects unreported loci for blood-pressure variation
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Breeyear, Joseph H., Mautz, Brian S., Keaton, Jacob M., Hellwege, Jacklyn N., Torstenson, Eric S., Liang, Jingjing, Bray, Michael J., Giri, Ayush, Warren, Helen R., Munroe, Patricia B., Velez Edwards, Digna R., Zhu, Xiaofeng, Li, Chun, and Edwards, Todd L.
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- 2024
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11. Genetically-predicted placental gene expression is associated with birthweight and adult body mass index
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Jasper, Elizabeth A., Hellwege, Jacklyn N., Piekos, Jacqueline A., Jones, Sarah H., Hartmann, Katherine E., Mautz, Brian, Aronoff, David M., Edwards, Todd L., and Edwards, Digna R. Velez
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- 2023
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12. A genetically supported drug repurposing pipeline for diabetes treatment using electronic health records
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Shuey, Megan M., Lee, Kyung Min, Keaton, Jacob, Khankari, Nikhil K., Breeyear, Joseph H., Walker, Venexia M., Miller, Donald R., Heberer, Kent R., Reaven, Peter D., Clarke, Shoa L., Lee, Jennifer, Lynch, Julie A., Vujkovic, Marijana, and Edwards, Todd L.
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- 2023
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13. Uterine fibroid polygenic risk score (PRS) associates and predicts risk for uterine fibroid
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Piekos, Jacqueline A., Hellwege, Jacklyn N., Zhang, Yanfei, Torstenson, Eric S., Jarvik, Gail P., Dikilitas, Ozan, Kullo, Iftikhar J., Schaid, Daniel J., Crosslin, David R., Pendergrass, Sarah A., Lee, Ming Ta Michael, Roden, Dan, Denny, Josh C., Edwards, Todd L., and Velez Edwards, Digna R.
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- 2022
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14. Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry
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Chen, Fei, Madduri, Ravi K., Rodriguez, Alex A., Darst, Burcu F., Chou, Alisha, Sheng, Xin, Wang, Anqi, Shen, Jiayi, Saunders, Edward J., Rhie, Suhn K., Bensen, Jeannette T., Ingles, Sue A., Kittles, Rick A., Strom, Sara S., Rybicki, Benjamin A., Nemesure, Barbara, Isaacs, William B., Stanford, Janet L., Zheng, Wei, Sanderson, Maureen, John, Esther M., Park, Jong Y., Xu, Jianfeng, Wang, Ying, Berndt, Sonja I., Huff, Chad D., Yeboah, Edward D., Tettey, Yao, Lachance, Joseph, Tang, Wei, Rentsch, Christopher T., Cho, Kelly, Mcmahon, Benjamin H., Biritwum, Richard B., Adjei, Andrew A., Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Sellers, Thomas A., Yamoah, Kosj, Murphy, Adam B., Crawford, Dana C., Patel, Alpa V., Bush, William S., Aldrich, Melinda C., Cussenot, Olivier, Petrovics, Gyorgy, Cullen, Jennifer, Neslund-Dudas, Christine M., Stern, Mariana C., Kote-Jarai, Zsofia, Govindasami, Koveela, Cook, Michael B., Chokkalingam, Anand P., Hsing, Ann W., Goodman, Phyllis J., Hoffmann, Thomas J., Drake, Bettina F., Hu, Jennifer J., Keaton, Jacob M., Hellwege, Jacklyn N., Clark, Peter E., Jalloh, Mohamed, Gueye, Serigne M., Niang, Lamine, Ogunbiyi, Olufemi, Idowu, Michael O., Popoola, Olufemi, Adebiyi, Akindele O., Aisuodionoe-Shadrach, Oseremen I., Ajibola, Hafees O., Jamda, Mustapha A., Oluwole, Olabode P., Nwegbu, Maxwell, Adusei, Ben, Mante, Sunny, Darkwa-Abrahams, Afua, Mensah, James E., Diop, Halimatou, Van Den Eeden, Stephen K., Blanchet, Pascal, Fowke, Jay H., Casey, Graham, Hennis, Anselm J., Lubwama, Alexander, Thompson, Ian M., Jr., Leach, Robin, Easton, Douglas F., Preuss, Michael H., Loos, Ruth J., Gundell, Susan M., Wan, Peggy, Mohler, James L., Fontham, Elizabeth T., Smith, Gary J., Taylor, Jack A., Srivastava, Shiv, Eeles, Rosaline A., Carpten, John D., Kibel, Adam S., Multigner, Luc, Parent, Marie-Élise, Menegaux, Florence, Cancel-Tassin, Geraldine, Klein, Eric A., Andrews, Caroline, Rebbeck, Timothy R., Brureau, Laurent, Ambs, Stefan, Edwards, Todd L., Watya, Stephen, Chanock, Stephen J., Witte, John S., Blot, William J., Michael Gaziano, J., Justice, Amy C., Conti, David V., and Haiman, Christopher A.
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- 2023
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15. Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group
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Irvin, Marguerite R, Sitlani, Colleen M, Floyd, James S, Psaty, Bruce M, Bis, Joshua C, Wiggins, Kerri L, Whitsel, Eric A, Sturmer, Til, Stewart, James, Raffield, Laura, Sun, Fangui, Liu, Ching-Ti, Xu, Hanfei, Cupples, Adrienne L, Tanner, Rikki M, Rossing, Peter, Smith, Albert, Zilhão, Nuno R, Launer, Lenore J, Noordam, Raymond, Rotter, Jerome I, Yao, Jie, Li, Xiaohui, Guo, Xiuqing, Limdi, Nita, Sundaresan, Aishwarya, Lange, Leslie, Correa, Adolfo, Stott, David J, Ford, Ian, Jukema, J Wouter, Gudnason, Vilmundur, Mook-Kanamori, Dennis O, Trompet, Stella, Palmas, Walter, Warren, Helen R, Hellwege, Jacklyn N, Giri, Ayush, O'donnell, Christopher, Hung, Adriana M, Edwards, Todd L, Ahluwalia, Tarunveer S, Arnett, Donna K, and Avery, Christy L
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Cardiovascular ,Human Genome ,Hypertension ,Genetics ,Black or African American ,Aged ,Antihypertensive Agents ,Blood Pressure ,Case-Control Studies ,DNA (Cytosine-5-)-Methyltransferases ,DNA Methyltransferase 3A ,DNA-Binding Proteins ,Drug Resistance ,Dystrophin-Associated Proteins ,Europe ,Female ,Genetic Loci ,Genome-Wide Association Study ,Humans ,Male ,Middle Aged ,Myosin Heavy Chains ,Myosin Type V ,Neuropeptides ,Pharmacogenetics ,Pharmacogenomic Variants ,Polymorphism ,Single Nucleotide ,Risk Assessment ,Risk Factors ,Transcription Factors ,United States ,White People ,blood pressure ,hypertension ,genome-wide association study ,severe hypertension ,treatment-resistant hypertension ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundOnly a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.MethodsWe conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP ≥ 140 mm Hg and/or diastolic BP ≥ 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (
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- 2019
16. Association between nitric oxide synthase 3 genetic variant and acute kidney injury following pediatric cardiac surgery
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Kikano, Sandra, Breeyear, Joseph, Aka, Ida, Edwards, Todd L., Van Driest, Sara L., and Kannankeril, Prince J.
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- 2022
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17. Evaluation of vitamin D biosynthesis and pathway target genes reveals UGT2A1/2 and EGFR polymorphisms associated with epithelial ovarian cancer in African American Women
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Grant, Delores J, Manichaikul, Ani, Alberg, Anthony J, Bandera, Elisa V, Barnholtz‐Sloan, Jill, Bondy, Melissa, Cote, Michele L, Funkhouser, Ellen, Moorman, Patricia G, Peres, Lauren C, Peters, Edward S, Schwartz, Ann G, Terry, Paul D, Wang, Xin‐Qun, Keku, Temitope O, Hoyo, Cathrine, Berchuck, Andrew, Sandler, Dale P, Taylor, Jack A, O’Brien, Katie M, Edwards, Digna R Velez, Edwards, Todd L, Beeghly‐Fadiel, Alicia, Wentzensen, Nicolas, Pearce, Celeste Leigh, Wu, Anna H, Whittemore, Alice S, McGuire, Valerie, Sieh, Weiva, Rothstein, Joseph H, Modugno, Francesmary, Ness, Roberta, Moysich, Kirsten, Rossing, Mary Anne, Doherty, Jennifer A, Sellers, Thomas A, Permuth‐Way, Jennifer B, Monteiro, Alvaro N, Levine, Douglas A, Setiawan, Veronica Wendy, Haiman, Christopher A, LeMarchand, Loic, Wilkens, Lynne R, Karlan, Beth Y, Menon, Usha, Ramus, Susan, Gayther, Simon, Gentry‐Maharaj, Aleksandra, Terry, Kathryn L, Cramer, Daniel W, Goode, Ellen L, Larson, Melissa C, Kaufmann, Scott H, Cannioto, Rikki, Odunsi, Kunle, Etter, John L, Huang, Ruea‐Yea, Bernardini, Marcus Q, Tone, Alicia A, May, Taymaa, Goodman, Marc T, Thompson, Pamela J, Carney, Michael E, Tworoger, Shelley S, Poole, Elizabeth M, Lambrechts, Diether, Vergote, Ignace, Vanderstichele, Adriaan, Van Nieuwenhuysen, Els, Anton‐Culver, Hoda, Ziogas, Argyrios, Brenton, James D, Bjorge, Line, Salvensen, Helga B, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bruegl, Amanda, Moffitt, Melissa, Cook, Linda, Le, Nhu D, Brooks‐Wilson, Angela, Kelemen, Linda E, Pharoah, Paul DP, Song, Honglin, Campbell, Ian, Eccles, Diana, DeFazio, Anna, Kennedy, Catherine J, and Schildkraut, Joellen M
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Biotechnology ,Nutrition ,Rare Diseases ,Clinical Research ,Genetics ,Ovarian Cancer ,Prevention ,Cancer ,2.1 Biological and endogenous factors ,Aetiology ,Black or African American ,Bayes Theorem ,Carcinoma ,Ovarian Epithelial ,ErbB Receptors ,Female ,Genetic Association Studies ,Glucuronosyltransferase ,Humans ,Logistic Models ,Middle Aged ,Neoplasm Grading ,Ovarian Neoplasms ,Polymorphism ,Single Nucleotide ,Receptors ,Calcitriol ,Vitamin D ,African ancestry risk ,genetic association ,ovarian cancer ,vitamin D pathway ,Biochemistry and Cell Biology ,Oncology and carcinogenesis - Abstract
An association between genetic variants in the vitamin D receptor (VDR) gene and epithelial ovarian cancer (EOC) was previously reported in women of African ancestry (AA). We sought to examine associations between genetic variants in VDR and additional genes from vitamin D biosynthesis and pathway targets (EGFR, UGT1A, UGT2A1/2, UGT2B, CYP3A4/5, CYP2R1, CYP27B1, CYP24A1, CYP11A1, and GC). Genotyping was performed using the custom-designed 533,631 SNP Illumina OncoArray with imputation to the 1,000 Genomes Phase 3 v5 reference set in 755 EOC cases, including 537 high-grade serous (HGSOC), and 1,235 controls. All subjects are of African ancestry (AA). Logistic regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI). We further evaluated statistical significance of selected SNPs using the Bayesian False Discovery Probability (BFDP). A significant association with EOC was identified in the UGT2A1/2 region for the SNP rs10017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 1.2 × 10-6 , BFDP = 0.02); and an association with HGSOC was identified in the EGFR region for the SNP rs114972508 (per allele OR = 2.3, 95% CI = 1.6-3.4, P = 1.6 × 10-5 , BFDP = 0.29) and in the UGT2A1/2 region again for rs1017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 2.3 × 10-5 , BFDP = 0.23). Genetic variants in the EGFR and UGT2A1/2 may increase susceptibility of EOC in AA women. Future studies to validate these findings are warranted. Alterations in EGFR and UGT2A1/2 could perturb enzyme efficacy, proliferation in ovaries, impact and mark susceptibility to EOC.
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- 2019
18. Genetic architecture of heart failure with preserved versus reduced ejection fraction
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Joseph, Jacob, Liu, Chang, Hui, Qin, Aragam, Krishna, Wang, Zeyuan, Charest, Brian, Huffman, Jennifer E., Keaton, Jacob M., Edwards, Todd L., Demissie, Serkalem, Djousse, Luc, Casas, Juan P., Gaziano, J. Michael, Cho, Kelly, Wilson, Peter W. F., Phillips, Lawrence S., O’Donnell, Christopher J., and Sun, Yan V.
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- 2022
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19. Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension
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Wu, Patrick, Feng, QiPing, Kerchberger, Vern Eric, Nelson, Scott D., Chen, Qingxia, Li, Bingshan, Edwards, Todd L., Cox, Nancy J., Phillips, Elizabeth J., Stein, C. Michael, Roden, Dan M., Denny, Joshua C., and Wei, Wei-Qi
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- 2022
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20. Erratum to: A multi-stage genome-wide association study of uterine fibroids in African Americans
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Hellwege, Jacklyn N, Jeff, Janina M, Wise, Lauren A, Gallagher, C Scott, Wellons, Melissa, Hartmann, Katherine E, Jones, Sarah F, Torstenson, Eric S, Dickinson, Scott, Ruiz-Narváez, Edward A, Rohland, Nadin, Allen, Alexander, Reich, David, Tandon, Arti, Pasaniuc, Bogdan, Mancuso, Nicholas, Im, Hae Kyung, Hinds, David A, Palmer, Julie R, Rosenberg, Lynn, Denny, Joshua C, Roden, Dan M, Stewart, Elizabeth A, Morton, Cynthia C, Kenny, Eimear E, Edwards, Todd L, and Velez Edwards, Digna R
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Biological Sciences ,Genetics ,Complementary and Alternative Medicine ,Paediatrics and Reproductive Medicine ,Genetics & Heredity ,Reproductive medicine - Abstract
The article "A multi-stage genome-wide association study of uterine fibroids in African Americans", written by Jacklyn N. Hellwege, was originally published Online First without open access. After publication in volume 136, issue 10, page 1363-1373 the author decided to opt for Open Choice and to make the article an open access publication. Therefore, the copyright of the article has been changed to
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- 2017
21. 430 Genome-wide meta-analysis identifies novel risk loci for uterine fibroids across multiple ancestry groups
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Kim, Jeewoo, primary, Williams, Ariel, additional, Noh, Hannah, additional, Shuey, Megan M., additional, Edwards, Todd L., additional, Velez Edwards, Digna R., additional, and Hellwege, Jacklyn N., additional
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- 2024
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22. 47 Cross-ancestry GWAS meta-analysis of keloids discovers novel susceptibility loci in diverse populations
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Greene, Catherine Anne, primary, Hampton, Gabrielle, additional, Jarvik, Gail P., additional, Namjou-Khales, Bahram, additional, Khan, Atlas, additional, Luo, Yuan, additional, Edwards, Todd L., additional, Velez Edwards, Digna R., additional, and Hellwege, Jacklyn N., additional
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- 2024
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23. A Phenome-Wide Association Study of Uterine Fibroids Reveals a Marked Burden of Comorbidities
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Edwards, Digna Velez, primary, Jasper, Elizabeth, additional, Mautz, Brian, additional, Hellwege, Jacklyn, additional, Piekos, Jacqueline, additional, Jones, Sarah, additional, Zhang, Yanfei, additional, Torstenson, Eric, additional, Pendergrass, Sarah, additional, and Edwards, Todd L, additional
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- 2024
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24. The Future of Prediction Modeling in Clinical Practice for Obstetrics and Gynecology
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Velez Edwards, Digna R., primary and Edwards, Todd L., additional
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- 2024
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25. Neptune: an environment for the delivery of genomic medicine
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Eric, Venner, Yi, Victoria, Murdock, David, Kalla, Sara E., Wu, Tsung-Jung, Sabo, Aniko, Li, Shoudong, Meng, Qingchang, Tian, Xia, Murugan, Mullai, Cohen, Michelle, Kovar, Christie, Wei, Wei-Qi, Chung, Wendy K., Weng, Chunhua, Wiesner, Georgia L., Jarvik, Gail P., Muzny, Donna, Gibbs, Richard A., Abrams, Debra, Adunyah, Samuel E., Albertson-Junkans, Ladia, Almoguera, Berta, Ames, Darren C., Appelbaum, Paul, Aronson, Samuel, Aufox, Sharon, Babb, Lawrence J., Balasubramanian, Adithya, Bangash, Hana, Basford, Melissa, Bastarache, Lisa, Baxter, Samantha, Behr, Meckenzie, Benoit, Barbara, Bhoj, Elizabeth, Bielinski, Suzette J., Bland, Harris T., Blout, Carrie, Borthwick, Kenneth, Bottinger, Erwin P., Bowser, Mark, Brand, Harrison, Brilliant, Murray, Brodeur, Wendy, Caraballo, Pedro, Carrell, David, Carroll, Andrew, Castillo, Lisa, Castro, Victor, Chandanavelli, Gauthami, Chiang, Theodore, Chisholm, Rex L., Christensen, Kurt D., Chung, Wendy, Chute, Christopher G., City, Brittany, Cobb, Beth L., Connolly, John J., Crane, Paul, Crew, Katherine, Crosslin, David R., Dayal, Jyoti, De Andrade, Mariza, De la Cruz, Jessica, Denny, Josh C., Denson, Shawn, DeSmet, Tim, Dikilitas, Ozan, Dinsmore, Michael J., Dodge, Sheila, Dunlea, Phil, Edwards, Todd L., Eng, Christine M., Fasel, David, Fedotov, Alex, Feng, Qiping, Fleharty, Mark, Foster, Andrea, Freimuth, Robert, Friedrich, Christopher, Fullerton, Stephanie M., Funke, Birgit, Gabriel, Stacey, Gainer, Vivian, Gharavi, Ali, Glazer, Andrew M., Glessner, Joseph T., Goehringer, Jessica, Gordon, Adam S., Graham, Chet, Green, Robert C., Gundelach, Justin H., Hain, Heather S., Hakonarson, Hakon, Harden, Maegan V., Harley, John, Harr, Margaret, Hartzler, Andrea, Hayes, M. Geoffrey, Hebbring, Scott, Henrikson, Nora, Hershey, Andrew, Hoell, Christin, Holm, Ingrid, Howell, Kayla M., Hripcsak, George, Hu, Jianhong, Hynes, Elizabeth Duffy, Jayaseelan, Joy C., Jiang, Yunyun, Joo, Yoonjung Yoonie, Jose, Sheethal, Josyula, Navya Shilpa, Justice, Anne E., Kalra, Divya, Karlson, Elizabeth W., Keating, Brendan J., Kelly, Melissa A., Kenny, Eimear E., Key, Dustin, Kiryluk, Krzysztof, Kitchner, Terrie, Klanderman, Barbara, Klee, Eric, Kochan, David C., Korchina, Viktoriya, Kottyan, Leah, Kudalkar, Emily, Rahm, Alanna Kulchak, Kullo, Iftikhar J., Lammers, Philip, Larson, Eric B., Lebo, Matthew S., Leduc, Magalie, Lee, Ming Ta (Michael), Lennon, Niall J., Leppig, Kathleen A., Leslie, Nancy D., Li, Rongling, Liang, Wayne H., Lin, Chiao-Feng, Linder, Jodell E., Lindor, Noralane M., Lingren, Todd, Linneman, James G., Liu, Cong, Liu, Wen, Liu, Xiuping, Lynch, John, Lyon, Hayley, Macbeth, Alyssa, Mahadeshwar, Harshad, Mahanta, Lisa, Malin, Bradley, Manolio, Teri, Marasa, Maddalena, Marsolo, Keith, McGowan, Michelle L., McNally, Elizabeth, Meldrim, Jim, Mentch, Frank, Rasouly, Hila Milo, Mosley, Jonathan, Mukherjee, Shubhabrata, Mullen, Thomas E., Muniz, Jesse, Murdock, David R., Murphy, Shawn, Myers, Melanie F., Namjou, Bahram, Ni, Yizhao, Onofrio, Robert C., Obeng, Aniwaa Owusu, Person, Thomas N., Peterson, Josh F., Petukhova, Lynn, Pisieczko, Cassandra J., Pratap, Siddharth, Prows, Cynthia A., Puckelwartz, Megan J., Raj, Ritika, Ralston, James D., Ramaprasan, Arvind, Ramirez, Andrea, Rasmussen, Luke, Rasmussen-Torvik, Laura, Raychaudhuri, Soumya, Rehm, Heidi L., Ritchie, Marylyn D., Rives, Catherine, Riza, Beenish, Roden, Dan M., Rosenthal, Elisabeth A., Santani, Avni, Dan, Schaid, Scherer, Steven, Scott, Stuart, Scrol, Aaron, Sengupta, Soumitra, Shang, Ning, Sharma, Himanshu, Sharp, Richard R., Singh, Rajbir, Sleiman, Patrick M.A., Slowik, Kara, Smith, Joshua C., Smith, Maureen E., Smoot, Duane T., Smoller, Jordan W., Sohn, Sunghwan, Stanaway, Ian B., Starren, Justin, Stroud, Mary, Su, Jessica, Taylor, Casey Overby, Tolwinski, Kasia, Van Driest, Sara L., Vargas, Sean M., Varugheese, Matthew, Veenstra, David, Venner, Eric, Verbitsky, Miguel, Vicente, Gina, Wagner, Michael, Walker, Kimberly, Walunas, Theresa, Wang, Liwen, Wang, Qiaoyan, Weiss, Scott T., Wells, Quinn S., White, Peter S., Wiley, Ken L., Jr, Williams, Janet L., Williams, Marc S., Wilson, Michael W., Witkowski, Leora, Woods, Laura Allison, Woolf, Betty, Wynn, Julia, Yang, Yaping, Zhang, Ge, Zhang, Lan, and Zouk, Hana
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- 2021
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26. Evidence that geographic variation in genetic ancestry associates with uterine fibroids
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Keaton, Jacob M., Jasper, Elizabeth A., Hellwege, Jacklyn N., Jones, Sarah H., Torstenson, Eric S., Edwards, Todd L., and Velez Edwards, Digna R.
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- 2021
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27. Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments
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Sheng, Xin, Guan, Yuting, Ma, Ziyuan, Wu, Junnan, Liu, Hongbo, Qiu, Chengxiang, Vitale, Steven, Miao, Zhen, Seasock, Matthew J., Palmer, Matthew, Shin, Myung K., Duffin, Kevin L., Pullen, Steven S., Edwards, Todd L., Hellwege, Jacklyn N., Hung, Adriana M., Li, Mingyao, Voight, Benjamin F., Coffman, Thomas M., Brown, Christopher D., and Susztak, Katalin
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- 2021
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28. A multi-stage genome-wide association study of uterine fibroids in African Americans
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Hellwege, Jacklyn N, Jeff, Janina M, Wise, Lauren A, Gallagher, C Scott, Wellons, Melissa, Hartmann, Katherine E, Jones, Sarah F, Torstenson, Eric S, Dickinson, Scott, Ruiz-Narváez, Edward A, Rohland, Nadin, Allen, Alexander, Reich, David, Tandon, Arti, Pasaniuc, Bogdan, Mancuso, Nicholas, Im, Hae Kyung, Hinds, David A, Palmer, Julie R, Rosenberg, Lynn, Denny, Joshua C, Roden, Dan M, Stewart, Elizabeth A, Morton, Cynthia C, Kenny, Eimear E, Edwards, Todd L, and Velez Edwards, Digna R
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Reproductive Medicine ,Biomedical and Clinical Sciences ,Genetics ,Biological Sciences ,Aging ,Human Genome ,Contraception/Reproduction ,Fibroid Tumors (Uterine) ,Adult ,Black or African American ,Alleles ,Cell Adhesion Molecules ,Female ,Gene Expression Regulation ,Neoplastic ,Gene Frequency ,Genetic Loci ,Genome-Wide Association Study ,Guanine Nucleotide Exchange Factors ,Humans ,Leiomyoma ,Middle Aged ,Neoplasm Proteins ,Risk Factors ,Uterine Neoplasms ,Complementary and Alternative Medicine ,Paediatrics and Reproductive Medicine ,Genetics & Heredity ,Reproductive medicine - Abstract
Uterine fibroids are benign tumors of the uterus affecting up to 77% of women by menopause. They are the leading indication for hysterectomy, and account for $34 billion annually in the United States. Race/ethnicity and age are the strongest known risk factors. African American (AA) women have higher prevalence, earlier onset, and larger and more numerous fibroids than European American women. We conducted a multi-stage genome-wide association study (GWAS) of fibroid risk among AA women followed by in silico genetically predicted gene expression profiling of top hits. In Stage 1, cases and controls were confirmed by pelvic imaging, genotyped and imputed to 1000 Genomes. Stage 2 used self-reported fibroid and GWAS data from 23andMe, Inc. and the Black Women's Health Study. Associations with fibroid risk were modeled using logistic regression adjusted for principal components, followed by meta-analysis of results. We observed a significant association among 3399 AA cases and 4764 AA controls at rs739187 (risk-allele frequency = 0.27) in CYTH4 (OR (95% confidence interval) = 1.23 (1.16-1.30), p value = 7.82 × 10-9). Evaluation of the genetic association results with MetaXcan identified lower predicted gene expression of CYTH4 in thyroid tissue as significantly associated with fibroid risk (p value = 5.86 × 10-8). In this first multi-stage GWAS for fibroids among AA women, we identified a novel risk locus for fibroids within CYTH4 that impacts gene expression in thyroid and has potential biological relevance for fibroids.
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- 2017
29. Analysis of potential protein-modifying variants in 9000 endometriosis patients and 150000 controls of European ancestry.
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Sapkota, Yadav, Vivo, Immaculata De, Steinthorsdottir, Valgerdur, Fassbender, Amelie, Bowdler, Lisa, Buring, Julie E, Edwards, Todd L, Jones, Sarah, O, Dorien, Peterse, Daniëlle, Rexrode, Kathryn M, Ridker, Paul M, Schork, Andrew J, Thorleifsson, Gudmar, Wallace, Leanne M, iPSYCH-SSI-Broad Group, Kraft, Peter, Morris, Andrew P, Nyholt, Dale R, Edwards, Digna R Velez, Nyegaard, Mette, D'Hooghe, Thomas, Chasman, Daniel I, Stefansson, Kari, Missmer, Stacey A, and Montgomery, Grant W
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iPSYCH-SSI-Broad Group ,Humans ,Endometriosis ,Genetic Predisposition to Disease ,Case-Control Studies ,Chromosome Mapping ,Polymorphism ,Single Nucleotide ,European Continental Ancestry Group ,Female ,Meta-Analysis as Topic ,Genetic Variation ,Genome-Wide Association Study ,Exome ,Biomarkers ,Whole Exome Sequencing ,Genetics ,Human Genome ,Clinical Research ,2.1 Biological and endogenous factors - Abstract
Genome-wide association (GWA) studies have identified 19 independent common risk loci for endometriosis. Most of the GWA variants are non-coding and the genes responsible for the association signals have not been identified. Herein, we aimed to assess the potential role of protein-modifying variants in endometriosis using exome-array genotyping in 7164 cases and 21005 controls, and a replication set of 1840 cases and 129016 controls of European ancestry. Results in the discovery sample identified significant evidence for association with coding variants in single-variant (rs1801232-CUBN) and gene-level (CIITA and PARP4) meta-analyses, but these did not survive replication. In the combined analysis, there was genome-wide significant evidence for rs13394619 (P = 2.3 × 10-9) in GREB1 at 2p25.1 - a locus previously identified in a GWA meta-analysis of European and Japanese samples. Despite sufficient power, our results did not identify any protein-modifying variants (MAF > 0.01) with moderate or large effect sizes in endometriosis, although these variants may exist in non-European populations or in high-risk families. The results suggest continued discovery efforts should focus on genotyping large numbers of surgically-confirmed endometriosis cases and controls, and/or sequencing high-risk families to identify novel rare variants to provide greater insights into the molecular pathogenesis of the disease.
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- 2017
30. Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism.
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Sapkota, Yadav, Steinthorsdottir, Valgerdur, Morris, Andrew P, Fassbender, Amelie, Rahmioglu, Nilufer, De Vivo, Immaculata, Buring, Julie E, Zhang, Futao, Edwards, Todd L, Jones, Sarah, O, Dorien, Peterse, Daniëlle, Rexrode, Kathryn M, Ridker, Paul M, Schork, Andrew J, MacGregor, Stuart, Martin, Nicholas G, Becker, Christian M, Adachi, Sosuke, Yoshihara, Kosuke, Enomoto, Takayuki, Takahashi, Atsushi, Kamatani, Yoichiro, Matsuda, Koichi, Kubo, Michiaki, Thorleifsson, Gudmar, Geirsson, Reynir T, Thorsteinsdottir, Unnur, Wallace, Leanne M, iPSYCH-SSI-Broad Group, Yang, Jian, Velez Edwards, Digna R, Nyegaard, Mette, Low, Siew-Kee, Zondervan, Krina T, Missmer, Stacey A, D'Hooghe, Thomas, Montgomery, Grant W, Chasman, Daniel I, Stefansson, Kari, Tung, Joyce Y, and Nyholt, Dale R
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iPSYCH-SSI-Broad Group ,Humans ,Endometriosis ,Genetic Predisposition to Disease ,Gonadal Steroid Hormones ,Estrogen Receptor alpha ,Genotype ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,Female ,Metabolic Networks and Pathways ,Genome-Wide Association Study ,Genetic Loci ,Genetics ,Pain Research ,Human Genome ,Contraception/Reproduction ,Clinical Research ,Prevention ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning - Abstract
Endometriosis is a heritable hormone-dependent gynecological disorder, associated with severe pelvic pain and reduced fertility; however, its molecular mechanisms remain largely unknown. Here we perform a meta-analysis of 11 genome-wide association case-control data sets, totalling 17,045 endometriosis cases and 191,596 controls. In addition to replicating previously reported loci, we identify five novel loci significantly associated with endometriosis risk (P
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- 2017
31. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.
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Liang, Jingjing, Le, Thu H, Edwards, Digna R Velez, Tayo, Bamidele O, Gaulton, Kyle J, Smith, Jennifer A, Lu, Yingchang, Jensen, Richard A, Chen, Guanjie, Yanek, Lisa R, Schwander, Karen, Tajuddin, Salman M, Sofer, Tamar, Kim, Wonji, Kayima, James, McKenzie, Colin A, Fox, Ervin, Nalls, Michael A, Young, J Hunter, Sun, Yan V, Lane, Jacqueline M, Cechova, Sylvia, Zhou, Jie, Tang, Hua, Fornage, Myriam, Musani, Solomon K, Wang, Heming, Lee, Juyoung, Adeyemo, Adebowale, Dreisbach, Albert W, Forrester, Terrence, Chu, Pei-Lun, Cappola, Anne, Evans, Michele K, Morrison, Alanna C, Martin, Lisa W, Wiggins, Kerri L, Hui, Qin, Zhao, Wei, Jackson, Rebecca D, Ware, Erin B, Faul, Jessica D, Reiner, Alex P, Bray, Michael, Denny, Joshua C, Mosley, Thomas H, Palmas, Walter, Guo, Xiuqing, Papanicolaou, George J, Penman, Alan D, Polak, Joseph F, Rice, Kenneth, Taylor, Ken D, Boerwinkle, Eric, Bottinger, Erwin P, Liu, Kiang, Risch, Neil, Hunt, Steven C, Kooperberg, Charles, Zonderman, Alan B, Laurie, Cathy C, Becker, Diane M, Cai, Jianwen, Loos, Ruth JF, Psaty, Bruce M, Weir, David R, Kardia, Sharon LR, Arnett, Donna K, Won, Sungho, Edwards, Todd L, Redline, Susan, Cooper, Richard S, Rao, DC, Rotter, Jerome I, Rotimi, Charles, Levy, Daniel, Chakravarti, Aravinda, Zhu, Xiaofeng, and Franceschini, Nora
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Animals ,Humans ,Mice ,Hypertension ,Cadherins ,Membrane Proteins ,Case-Control Studies ,Blood Pressure ,Multifactorial Inheritance ,Polymorphism ,Single Nucleotide ,African Americans ,Female ,Male ,Basic Helix-Loop-Helix Transcription Factors ,Genome-Wide Association Study ,Genetic Loci ,Kidney Disease ,Cardiovascular ,Human Genome ,Genetics ,Biotechnology ,Clinical Research ,2.1 Biological and endogenous factors ,Developmental Biology - Abstract
Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.
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- 2017
32. Investigating the Genetic Architecture of the PR Interval Using Clinical Phenotypes
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Mosley, Jonathan D, Shoemaker, M Benjamin, Wells, Quinn S, Darbar, Dawood, Shaffer, Christian M, Edwards, Todd L, Bastarache, Lisa, McCarty, Catherine A, Thompson, Will, Chute, Christopher G, Jarvik, Gail P, Crosslin, David R, Larson, Eric B, Kullo, Iftikhar J, Pacheco, Jennifer A, Peissig, Peggy L, Brilliant, Murray H, Linneman, James G, Witte, John S, Denny, Josh C, and Roden, Dan M
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Heart Disease ,Atherosclerosis ,Genetics ,Cardiovascular ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Atrial Fibrillation ,Body Mass Index ,Case-Control Studies ,Electrocardiography ,Female ,Genotype ,Humans ,Male ,Metabolic Syndrome ,Middle Aged ,Odds Ratio ,Phenotype ,Polymorphism ,Single Nucleotide ,Risk Factors ,Waist Circumference ,Young Adult ,PR interval ,atrial fibrillation ,biomarker ,cardiac electrophysiology ,molecular epidemiology ,risk factors ,Medical Biotechnology ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology - Abstract
One potential use for the PR interval is as a biomarker of disease risk. We hypothesized that quantifying the shared genetic architectures of the PR interval and a set of clinical phenotypes would identify genetic mechanisms contributing to PR variability and identify diseases associated with a genetic predictor of PR variability. We used ECG measurements from the ARIC study (Atherosclerosis Risk in Communities; n=6731 subjects) and 63 genetically modulated diseases from the eMERGE network (Electronic Medical Records and Genomics; n=12 978). We measured pairwise genetic correlations (rG) between PR phenotypes (PR interval, PR segment, P-wave duration) and each of the 63 phenotypes. The PR segment was genetically correlated with atrial fibrillation (rG=-0.88; P=0.0009). An analysis of metabolic phenotypes in ARIC also showed that the P wave was genetically correlated with waist circumference (rG=0.47; P=0.02). A genetically predicted PR interval phenotype based on 645 714 single-nucleotide polymorphisms was associated with atrial fibrillation (odds ratio=0.89 per SD change; 95% confidence interval, 0.83-0.95; P=0.0006). The differing pattern of associations among the PR phenotypes is consistent with analyses that show that the genetic correlation between the P wave and PR segment was not significantly different from 0 (rG=-0.03 [0.16]). The genetic architecture of the PR interval comprises modulators of atrial fibrillation risk and obesity.
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- 2017
33. Rare and low-frequency coding variants alter human adult height
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Marouli, Eirini, Graff, Mariaelisa, Medina-Gomez, Carolina, Lo, Ken Sin, Wood, Andrew R, Kjaer, Troels R, Fine, Rebecca S, Lu, Yingchang, Schurmann, Claudia, Highland, Heather M, Rüeger, Sina, Thorleifsson, Gudmar, Justice, Anne E, Lamparter, David, Stirrups, Kathleen E, Turcot, Valérie, Young, Kristin L, Winkler, Thomas W, Esko, Tõnu, Karaderi, Tugce, Locke, Adam E, Masca, Nicholas GD, Ng, Maggie CY, Mudgal, Poorva, Rivas, Manuel A, Vedantam, Sailaja, Mahajan, Anubha, Guo, Xiuqing, Abecasis, Goncalo, Aben, Katja K, Adair, Linda S, Alam, Dewan S, Albrecht, Eva, Allin, Kristine H, Allison, Matthew, Amouyel, Philippe, Appel, Emil V, Arveiler, Dominique, Asselbergs, Folkert W, Auer, Paul L, Balkau, Beverley, Banas, Bernhard, Bang, Lia E, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F, Blüher, Matthias, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A, Bonnycastle, Lori L, Bork-Jensen, Jette, Bots, Michiel L, Bottinger, Erwin P, Bowden, Donald W, Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H, Broer, Linda, Burt, Amber A, Butterworth, Adam S, Carey, David J, Caulfield, Mark J, Chambers, John C, Chasman, Daniel I, Chen, Yii-Der Ida, Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y, Cocca, Massimiliano, Collins, Francis S, Cook, James P, Corley, Janie, Galbany, Jordi Corominas, Cox, Amanda J, Cuellar-Partida, Gabriel, Danesh, John, Davies, Gail, de Bakker, Paul IW, de Borst, Gert J, de Denus, Simon, de Groot, Mark CH, de Mutsert, Renée, Deary, Ian J, Dedoussis, George, Demerath, Ellen W, den Hollander, Anneke I, Dennis, Joe G, Di Angelantonio, Emanuele, Drenos, Fotios, Du, Mengmeng, Dunning, Alison M, Easton, Douglas F, Ebeling, Tapani, Edwards, Todd L, Ellinor, Patrick T, Elliott, Paul, Evangelou, Evangelos, Farmaki, Aliki-Eleni, and Faul, Jessica D
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Human Genome ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,ADAMTS Proteins ,Adult ,Alleles ,Body Height ,Cell Adhesion Molecules ,Female ,Gene Frequency ,Genetic Variation ,Genome ,Human ,Glycoproteins ,Glycosaminoglycans ,Hedgehog Proteins ,Humans ,Intercellular Signaling Peptides and Proteins ,Interferon Regulatory Factors ,Interleukin-11 Receptor alpha Subunit ,Male ,Multifactorial Inheritance ,NADPH Oxidase 4 ,NADPH Oxidases ,Phenotype ,Pregnancy-Associated Plasma Protein-A ,Procollagen N-Endopeptidase ,Proteoglycans ,Proteolysis ,Receptors ,Androgen ,Somatomedins ,EPIC-InterAct Consortium ,CHD Exome+ Consortium ,ExomeBP Consortium ,T2D-Genes Consortium ,GoT2D Genes Consortium ,Global Lipids Genetics Consortium ,ReproGen Consortium ,MAGIC Investigators ,General Science & Technology - Abstract
Height is a highly heritable, classic polygenic trait with approximately 700 common associated variants identified through genome-wide association studies so far. Here, we report 83 height-associated coding variants with lower minor-allele frequencies (in the range of 0.1-4.8%) and effects of up to 2 centimetres per allele (such as those in IHH, STC2, AR and CRISPLD2), greater than ten times the average effect of common variants. In functional follow-up studies, rare height-increasing alleles of STC2 (giving an increase of 1-2 centimetres per allele) compromised proteolytic inhibition of PAPP-A and increased cleavage of IGFBP-4 in vitro, resulting in higher bioavailability of insulin-like growth factors. These 83 height-associated variants overlap genes that are mutated in monogenic growth disorders and highlight new biological candidates (such as ADAMTS3, IL11RA and NOX4) and pathways (such as proteoglycan and glycosaminoglycan synthesis) involved in growth. Our results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.
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- 2017
34. Admixture mapping of pelvic organ prolapse in African Americans from the Women’s Health Initiative Hormone Therapy trial
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Giri, Ayush, Hartmann, Katherine E, Aldrich, Melinda C, Ward, Renee M, Wu, Jennifer M, Park, Amy J, Graff, Mariaelisa, Qi, Lihong, Nassir, Rami, Wallace, Robert B, O'Sullivan, Mary J, North, Kari E, Edwards, Digna R Velez, and Edwards, Todd L
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Health Sciences ,Reproductive Medicine ,Prevention ,Contraception/Reproduction ,Clinical Research ,Reproductive health and childbirth ,Actins ,Black or African American ,Aged ,Body Mass Index ,Case-Control Studies ,Cystocele ,Female ,GPI-Linked Proteins ,Gene Expression ,Humans ,Logistic Models ,Middle Aged ,Molecular Chaperones ,Nerve Tissue Proteins ,Odds Ratio ,Parity ,Quantitative Trait Loci ,Quantitative Trait ,Heritable ,Rectocele ,Risk Factors ,Severity of Illness Index ,United States ,Uterine Prolapse ,White People ,Women's Health ,General Science & Technology - Abstract
Evidence suggests European American (EA) women have two- to five-fold increased odds of having pelvic organ prolapse (POP) when compared with African American (AA) women. However, the role of genetic ancestry in relation to POP risk is not clear. Here we evaluate the association between genetic ancestry and POP in AA women from the Women's Health Initiative Hormone Therapy trial. Women with grade 1 or higher classification, and grade 2 or higher classification for uterine prolapse, cystocele or rectocele at baseline or during follow-up were considered to have any POP (N = 805) and moderate/severe POP (N = 156), respectively. Women with at least two pelvic exams with no indication for POP served as controls (N = 344). We performed case-only, and case-control admixture-mapping analyses using multiple logistic regression while adjusting for age, BMI, parity and global ancestry. We evaluated the association between global ancestry and POP using multiple logistic regression. European ancestry at the individual level was not associated with POP risk. Case-only and case-control local ancestry analyses identified two ancestry-specific loci that may be associated with POP. One locus (Chromosome 15q26.2) achieved empirically-estimated statistical significance and was associated with decreased POP odds (considering grade ≥2 POP) with each unit increase in European ancestry (OR: 0.35; 95% CI: 0.30, 0.57; p-value = 1.48x10-5). This region includes RGMA, a potent regulator of the BMP family of genes. The second locus (Chromosome 1q42.1-q42.3) was associated with increased POP odds with each unit increase in European ancestry (Odds ratio [OR]: 1.69; 95% confidence interval [CI]: 1.28, 2.22; p-value = 1.93x10-4). Although this region did not reach statistical significance after considering multiple comparisons, it includes potentially relevant genes including TBCE, and ACTA1. Unique non-overlapping European and African ancestry-specific susceptibility loci may be associated with increased POP risk.
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- 2017
35. Adaptive selection at G6PDand disparities in diabetes complications
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Breeyear, Joseph H., Hellwege, Jacklyn N., Schroeder, Philip H., House, John S., Poisner, Hannah M., Mitchell, Sabrina L., Charest, Brian, Khakharia, Anjali, Basnet, Til B., Halladay, Christopher W., Reaven, Peter D., Meigs, James B., Rhee, Mary K., Sun, Yang, Lynch, Mary G., Bick, Alexander G., Wilson, Otis D., Hung, Adriana M., Nealon, Cari L., Iyengar, Sudha K., Rotroff, Daniel M., Buse, John B., Leong, Aaron, Mercader, Josep M., Sobrin, Lucia, Brantley, Milam A., Peachey, Neal S., Motsinger-Reif, Alison A., Wilson, Peter W., Sun, Yan V., Giri, Ayush, Phillips, Lawrence S., and Edwards, Todd L.
- Abstract
Diabetes complications occur at higher rates in individuals of African ancestry. Glucose-6-phosphate dehydrogenase deficiency (G6PDdef), common in some African populations, confers malaria resistance, and reduces hemoglobin A1c (HbA1c) levels by shortening erythrocyte lifespan. In a combined-ancestry genome-wide association study of diabetic retinopathy, we identified nine loci including a G6PDdef causal variant, rs1050828-T (Val98Met), which was also associated with increased risk of other diabetes complications. The effect of rs1050828-T on retinopathy was fully mediated by glucose levels. In the years preceding diabetes diagnosis and insulin prescription, glucose levels were significantly higher and HbA1c significantly lower in those with versus without G6PDdef. In the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, participants with G6PDdef had significantly higher hazards of incident retinopathy and neuropathy. At the same HbA1c levels, G6PDdef participants in both ACCORD and the Million Veteran Program had significantly increased risk of retinopathy. We estimate that 12% and 9% of diabetic retinopathy and neuropathy cases, respectively, in participants of African ancestry are due to this exposure. Across continentally defined ancestral populations, the differences in frequency of rs1050828-T and other G6PDdef alleles contribute to disparities in diabetes complications. Diabetes management guided by glucose or potentially genotype-adjusted HbA1c levels could lead to more timely diagnoses and appropriate intensification of therapy, decreasing the risk of diabetes complications in patients with G6PDdef alleles.
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- 2024
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36. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women
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Taylor, Kira C, Evans, Daniel S, Edwards, Digna R Velez, Edwards, Todd L, Sofer, Tamar, Li, Guo, Liu, Youfang, Franceschini, Nora, Jackson, Rebecca D, Giri, Ayush, Donneyong, Macarius, Psaty, Bruce, Rotter, Jerome I, LaCroix, Andrea Z, Jordan, Joanne M, Robbins, John A, Lewis, Beth, Stefanick, Marcia L, Liu, Yongmei, Garcia, Melissa, Harris, Tamara, Cauley, Jane A, and North, Kari E
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Biomedical and Clinical Sciences ,Clinical Sciences ,Minority Health ,Genetics ,Human Genome ,Aging ,Osteoporosis ,Musculoskeletal ,AA ,African American ,ASW ,African ancestry individuals from Southwest USA ,African American ,BMD ,bone mineral density ,BMI ,body mass index ,BMP ,bone morphogenetic protein ,CES-D ,Center for Epidemiological Studies-Depression scale ,CEU ,CEPH-Utah ,CHS ,Cardiovascular Health Study ,DNA ,deoxyribonucleic acid ,EAF ,effect allele frequency ,Fracture ,GEFOS ,Genetic Factors of Osteoporosis ,GPGE ,genetically predicted gene expression ,GTEx Project ,Genotype-Tissue Expression project ,GWAS ,genome-wide association study ,Genetic association study ,Genome-wide association study ,JoCoOA ,Johnston County Osteoarthritis Project ,MAC ,minor allele count ,MAF ,minor allele frequency ,Meta-analysis ,OF ,osteoporotic fracture ,RNA ,ribonucleic acid ,SD ,standard deviation ,SHARe ,SNP Health Association Resource ,SNP ,single nucleotide polymorphism ,WHI ,Women's Health Initiative ,YRI ,Yoruban ,Clinical sciences - Abstract
BackgroundOsteoporosis is a major public health problem associated with excess disability and mortality. It is estimated that 50-70% of the variation in osteoporotic fracture risk is attributable to genetic factors. The purpose of this hypothesis-generating study was to identify possible genetic determinants of fracture among African American (AA) women in a GWAS meta-analysis.MethodsData on clinical fractures (all fractures except fingers, toes, face, skull or sternum) were analyzed among AA female participants in the Women's Health Initiative (WHI) (N = 8155), Cardiovascular Health Study (CHS) (N = 504), BioVU (N = 704), Health ABC (N = 651), and the Johnston County Osteoarthritis Project (JoCoOA) (N = 291). Affymetrix (WHI) and Illumina (Health ABC, JoCoOA, BioVU, CHS) GWAS panels were used for genotyping, and a 1:1 ratio of YRI:CEU HapMap haplotypes was used as an imputation reference panel. We used Cox proportional hazard models or logistic regression to evaluate the association of ~ 2.5 million SNPs with fracture risk, adjusting for ancestry, age, and geographic region where applicable. We conducted a fixed-effects, inverse variance-weighted meta-analysis. Genome-wide significance was set at P
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- 2016
37. Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19
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Gaziano, Liam, Giambartolomei, Claudia, Pereira, Alexandre C., Gaulton, Anna, Posner, Daniel C., Swanson, Sonja A., Ho, Yuk-Lam, Iyengar, Sudha K., Kosik, Nicole M., Vujkovic, Marijana, Gagnon, David R., Bento, A. Patrícia, Barrio-Hernandez, Inigo, Rönnblom, Lars, Hagberg, Niklas, Lundtoft, Christian, Langenberg, Claudia, Pietzner, Maik, Valentine, Dennis, Gustincich, Stefano, Tartaglia, Gian Gaetano, Allara, Elias, Surendran, Praveen, Burgess, Stephen, Zhao, Jing Hua, Peters, James E., Prins, Bram P., Angelantonio, Emanuele Di, Devineni, Poornima, Shi, Yunling, Lynch, Kristine E., DuVall, Scott L., Garcon, Helene, Thomann, Lauren O., Zhou, Jin J., Gorman, Bryan R., Huffman, Jennifer E., O’Donnell, Christopher J., Tsao, Philip S., Beckham, Jean C., Pyarajan, Saiju, Muralidhar, Sumitra, Huang, Grant D., Ramoni, Rachel, Beltrao, Pedro, Danesh, John, Hung, Adriana M., Chang, Kyong-Mi, Sun, Yan V., Joseph, Jacob, Leach, Andrew R., Edwards, Todd L., Cho, Kelly, Gaziano, J. Michael, Butterworth, Adam S., and Casas, Juan P.
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- 2021
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38. Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations
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Park, Joseph, Lucas, Anastasia M., Zhang, Xinyuan, Chaudhary, Kumardeep, Cho, Judy H., Nadkarni, Girish, Dobbyn, Amanda, Chittoor, Geetha, Josyula, Navya S., Katz, Nathan, Breeyear, Joseph H., Ahmadmehrabi, Shadi, Drivas, Theodore G., Chavali, Venkata R. M., Fasolino, Maria, Sawada, Hisashi, Daugherty, Alan, Li, Yanming, Zhang, Chen, Bradford, Yuki, Weaver, JoEllen, Verma, Anurag, Judy, Renae L., Kember, Rachel L., Overton, John D., Reid, Jeffrey G., Ferreira, Manuel A. R., Li, Alexander H., Baras, Aris, LeMaire, Scott A., Shen, Ying H., Naji, Ali, Kaestner, Klaus H., Vahedi, Golnaz, Edwards, Todd L., Chen, Jinbo, Damrauer, Scott M., Justice, Anne E., Do, Ron, Ritchie, Marylyn D., and Rader, Daniel J.
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- 2021
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39. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci
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Liu, Chunyu, Kraja, Aldi T, Smith, Jennifer A, Brody, Jennifer A, Franceschini, Nora, Bis, Joshua C, Rice, Kenneth, Morrison, Alanna C, Lu, Yingchang, Weiss, Stefan, Guo, Xiuqing, Palmas, Walter, Martin, Lisa W, Chen, Yii-Der Ida, Surendran, Praveen, Drenos, Fotios, Cook, James P, Auer, Paul L, Chu, Audrey Y, Giri, Ayush, Zhao, Wei, Jakobsdottir, Johanna, Lin, Li-An, Stafford, Jeanette M, Amin, Najaf, Mei, Hao, Yao, Jie, Voorman, Arend, Larson, Martin G, Grove, Megan L, Smith, Albert V, Hwang, Shih-Jen, Chen, Han, Huan, Tianxiao, Kosova, Gulum, Stitziel, Nathan O, Kathiresan, Sekar, Samani, Nilesh, Schunkert, Heribert, Deloukas, Panos, Li, Man, Fuchsberger, Christian, Pattaro, Cristian, Gorski, Mathias, Kooperberg, Charles, Papanicolaou, George J, Rossouw, Jacques E, Faul, Jessica D, Kardia, Sharon LR, Bouchard, Claude, Raffel, Leslie J, Uitterlinden, André G, Franco, Oscar H, Vasan, Ramachandran S, O'Donnell, Christopher J, Taylor, Kent D, Liu, Kiang, Bottinger, Erwin P, Gottesman, Omri, Daw, E Warwick, Giulianini, Franco, Ganesh, Santhi, Salfati, Elias, Harris, Tamara B, Launer, Lenore J, Dörr, Marcus, Felix, Stephan B, Rettig, Rainer, Völzke, Henry, Kim, Eric, Lee, Wen-Jane, Lee, I-Te, Sheu, Wayne H-H, Tsosie, Krystal S, Edwards, Digna R Velez, Liu, Yongmei, Correa, Adolfo, Weir, David R, Völker, Uwe, Ridker, Paul M, Boerwinkle, Eric, Gudnason, Vilmundur, Reiner, Alexander P, van Duijn, Cornelia M, Borecki, Ingrid B, Edwards, Todd L, Chakravarti, Aravinda, Rotter, Jerome I, Psaty, Bruce M, Loos, Ruth JF, Fornage, Myriam, Ehret, Georg B, Newton-Cheh, Christopher, Levy, Daniel, and Chasman, Daniel I
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Biological Sciences ,Genetics ,Cardiovascular ,Hypertension ,Prevention ,Biotechnology ,2.1 Biological and endogenous factors ,Aetiology ,Blood Pressure ,Exome ,Genetic Variation ,Genome ,Human ,Genome-Wide Association Study ,Genotype ,Humans ,Oligonucleotide Array Sequence Analysis ,Polymorphism ,Single Nucleotide ,CHD Exome+ Consortium ,ExomeBP Consortium ,GoT2DGenes Consortium ,T2D-GENES Consortium ,Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia ,CKDGen Consortium ,Medical and Health Sciences ,Developmental Biology ,Agricultural biotechnology ,Bioinformatics and computational biology - Abstract
Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
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- 2016
40. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases
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Tajuddin, Salman M, Schick, Ursula M, Eicher, John D, Chami, Nathalie, Giri, Ayush, Brody, Jennifer A, Hill, W David, Kacprowski, Tim, Li, Jin, Lyytikäinen, Leo-Pekka, Manichaikul, Ani, Mihailov, Evelin, O’Donoghue, Michelle L, Pankratz, Nathan, Pazoki, Raha, Polfus, Linda M, Smith, Albert Vernon, Schurmann, Claudia, Vacchi-Suzzi, Caterina, Waterworth, Dawn M, Evangelou, Evangelos, Yanek, Lisa R, Burt, Amber, Chen, Ming-Huei, van Rooij, Frank JA, Floyd, James S, Greinacher, Andreas, Harris, Tamara B, Highland, Heather M, Lange, Leslie A, Liu, Yongmei, Mägi, Reedik, Nalls, Mike A, Mathias, Rasika A, Nickerson, Deborah A, Nikus, Kjell, Starr, John M, Tardif, Jean-Claude, Tzoulaki, Ioanna, Edwards, Digna R Velez, Wallentin, Lars, Bartz, Traci M, Becker, Lewis C, Denny, Joshua C, Raffield, Laura M, Rioux, John D, Friedrich, Nele, Fornage, Myriam, Gao, He, Hirschhorn, Joel N, Liewald, David CM, Rich, Stephen S, Uitterlinden, Andre, Bastarache, Lisa, Becker, Diane M, Boerwinkle, Eric, de Denus, Simon, Bottinger, Erwin P, Hayward, Caroline, Hofman, Albert, Homuth, Georg, Lange, Ethan, Launer, Lenore J, Lehtimäki, Terho, Lu, Yingchang, Metspalu, Andres, O’Donnell, Chris J, Quarells, Rakale C, Richard, Melissa, Torstenson, Eric S, Taylor, Kent D, Vergnaud, Anne-Claire, Zonderman, Alan B, Crosslin, David R, Deary, Ian J, Dörr, Marcus, Elliott, Paul, Evans, Michele K, Gudnason, Vilmundur, Kähönen, Mika, Psaty, Bruce M, Rotter, Jerome I, Slater, Andrew J, Dehghan, Abbas, White, Harvey D, Ganesh, Santhi K, Loos, Ruth JF, Esko, Tõnu, Faraday, Nauder, Wilson, James G, Cushman, Mary, Johnson, Andrew D, Edwards, Todd L, Zakai, Neil A, Lettre, Guillaume, Reiner, Alex P, and Auer, Paul L
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Immunology ,Stem Cell Research ,Human Genome ,Stem Cell Research - Nonembryonic - Non-Human ,Autoimmune Disease ,Hematology ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning ,Underpinning research ,Aetiology ,Inflammatory and immune system ,Blood Cell Count ,Exome ,Genetic Loci ,Genetic Pleiotropy ,Genome-Wide Association Study ,Humans ,Immune System Diseases ,Leukocytes ,Quality Control ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of ∼157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3' UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.
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- 2016
41. Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin
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Liu, Ching-Ti, Raghavan, Sridharan, Maruthur, Nisa, Kabagambe, Edmond Kato, Hong, Jaeyoung, Ng, Maggie CY, Hivert, Marie-France, Lu, Yingchang, An, Ping, Bentley, Amy R, Drolet, Anne M, Gaulton, Kyle J, Guo, Xiuqing, Armstrong, Loren L, Irvin, Marguerite R, Li, Man, Lipovich, Leonard, Rybin, Denis V, Taylor, Kent D, Agyemang, Charles, Palmer, Nicholette D, Cade, Brian E, Chen, Wei-Min, Dauriz, Marco, Delaney, Joseph AC, Edwards, Todd L, Evans, Daniel S, Evans, Michele K, Lange, Leslie A, Leong, Aaron, Liu, Jingmin, Liu, Yongmei, Nayak, Uma, Patel, Sanjay R, Porneala, Bianca C, Rasmussen-Torvik, Laura J, Snijder, Marieke B, Stallings, Sarah C, Tanaka, Toshiko, Yanek, Lisa R, Zhao, Wei, Becker, Diane M, Bielak, Lawrence F, Biggs, Mary L, Bottinger, Erwin P, Bowden, Donald W, Chen, Guanjie, Correa, Adolfo, Couper, David J, Crawford, Dana C, Cushman, Mary, Eicher, John D, Fornage, Myriam, Franceschini, Nora, Fu, Yi-Ping, Goodarzi, Mark O, Gottesman, Omri, Hara, Kazuo, Harris, Tamara B, Jensen, Richard A, Johnson, Andrew D, Jhun, Min A, Karter, Andrew J, Keller, Margaux F, Kho, Abel N, Kizer, Jorge R, Krauss, Ronald M, Langefeld, Carl D, Li, Xiaohui, Liang, Jingling, Liu, Simin, Lowe, William L, Mosley, Thomas H, North, Kari E, Pacheco, Jennifer A, Peyser, Patricia A, Patrick, Alan L, Rice, Kenneth M, Selvin, Elizabeth, Sims, Mario, Smith, Jennifer A, Tajuddin, Salman M, Vaidya, Dhananjay, Wren, Mary P, Yao, Jie, Zhu, Xiaofeng, Ziegler, Julie T, Zmuda, Joseph M, Zonderman, Alan B, Zwinderman, Aeilko H, Consortium, AAAG, Consortium, CARe, Consortium, COGENT-BP, Consortium, eMERGE, Consortium, MEDIA, Adeyemo, Adebowale, Boerwinkle, Eric, Ferrucci, Luigi, Hayes, M Geoffrey, and Kardia, Sharon LR
- Subjects
Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Health Disparities ,Human Genome ,Diabetes ,Minority Health ,Metabolic and endocrine ,Asian People ,Black People ,Blood Glucose ,Diabetes Mellitus ,Type 2 ,Enhancer Elements ,Genetic ,Ethnicity ,Fasting ,Female ,Gene Frequency ,Genome-Wide Association Study ,Humans ,Insulin ,Insulin Resistance ,Introns ,Islets of Langerhans ,Male ,Molecular Sequence Annotation ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Racial Groups ,Transcription Factors ,White People ,AAAG Consortium ,CARe Consortium ,COGENT-BP Consortium ,eMERGE Consortium ,MEDIA Consortium ,MAGIC Consortium ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Knowledge of the genetic basis of the type 2 diabetes (T2D)-related quantitative traits fasting glucose (FG) and insulin (FI) in African ancestry (AA) individuals has been limited. In non-diabetic subjects of AA (n = 20,209) and European ancestry (EA; n = 57,292), we performed trans-ethnic (AA+EA) fine-mapping of 54 established EA FG or FI loci with detailed functional annotation, assessed their relevance in AA individuals, and sought previously undescribed loci through trans-ethnic (AA+EA) meta-analysis. We narrowed credible sets of variants driving association signals for 22/54 EA-associated loci; 18/22 credible sets overlapped with active islet-specific enhancers or transcription factor (TF) binding sites, and 21/22 contained at least one TF motif. Of the 54 EA-associated loci, 23 were shared between EA and AA. Replication with an additional 10,096 AA individuals identified two previously undescribed FI loci, chrX FAM133A (rs213676) and chr5 PELO (rs6450057). Trans-ethnic analyses with regulatory annotation illuminate the genetic architecture of glycemic traits and suggest gene regulation as a target to advance precision medicine for T2D. Our approach to utilize state-of-the-art functional annotation and implement trans-ethnic association analysis for discovery and fine-mapping offers a framework for further follow-up and characterization of GWAS signals of complex trait loci.
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- 2016
42. Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program
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Armstrong, Nicole D., primary, Srinivasasainagendra, Vinodh, additional, Ammous, Farah, additional, Assimes, Themistocles L., additional, Beitelshees, Amber L., additional, Brody, Jennifer, additional, Cade, Brian E., additional, Ida Chen, Yii-Der, additional, Chen, Han, additional, de Vries, Paul S., additional, Floyd, James S., additional, Franceschini, Nora, additional, Guo, Xiuqing, additional, Hellwege, Jacklyn N., additional, House, John S., additional, Hwu, Chii-Min, additional, Kardia, Sharon L. R., additional, Lange, Ethan M., additional, Lange, Leslie A., additional, McDonough, Caitrin W., additional, Montasser, May E., additional, O’Connell, Jeffrey R., additional, Shuey, Megan M., additional, Sun, Xiao, additional, Tanner, Rikki M., additional, Wang, Zhe, additional, Zhao, Wei, additional, Carson, April P., additional, Edwards, Todd L., additional, Kelly, Tanika N., additional, Kenny, Eimear E., additional, Kooperberg, Charles, additional, Loos, Ruth J. F., additional, Morrison, Alanna C., additional, Motsinger-Reif, Alison, additional, Psaty, Bruce M., additional, Rao, Dabeeru C., additional, Redline, Susan, additional, Rich, Stephen S., additional, Rotter, Jerome I., additional, Smith, Jennifer A., additional, Smith, Albert V., additional, Irvin, Marguerite R., additional, and Arnett, Donna K., additional
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- 2023
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43. Evidence of recent and ongoing admixture in the U.S. and influences on health and disparities
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Seagle, Hannah M., primary, Hellwege, Jacklyn N., additional, Mautz, Brian S., additional, Li, Chun, additional, Xu, Yaomin, additional, Zhang, Siwei, additional, Roden, Dan M., additional, McGregor, Tracy L., additional, Velez Edwards, Digna R., additional, and Edwards, Todd L., additional
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- 2023
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44. Development of Portable Electronic Health Record Based Algorithms to Identify Individuals with Diabetic Retinopathy
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Breeyear, Joseph H, primary, Mitchell, Sabrina L, additional, Nealon, Cari L., additional, Hellwege, Jacklyn N, additional, Charest, Brian, additional, Khakaria, Anjali, additional, Halladay, Christopher W, additional, Yang, Janine, additional, Garriga, Gustavo A, additional, Wilson, Otis D, additional, Hung, Adriana M, additional, Reaven, Peter D, additional, Meigs, James B, additional, Rhee, Mary K, additional, Sun, Yang, additional, Lynch, Mary G., additional, Sobrin, Lucia, additional, Brantley, Milam A., additional, Sun, Yan V., additional, Wilson, Peter W., additional, Iyengar, Sudka K, additional, Peachey, Neal S., additional, Phillips, Lawerence S., additional, Edwards, Todd L., additional, and Giri, Ayush, additional
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- 2023
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45. Estimating Uterine Fibroid SNP-Based Heritability in European American Women with Imaging-Confirmed Fibroids
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Bray, Michael J., Davis, Lea K., Torstenson, Eric S., Jones, Sarah H., Edwards, Todd L., and Edwards, Digna R. Velez
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- 2019
46. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis
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Vujkovic, Marijana, Keaton, Jacob M., Lynch, Julie A., Miller, Donald R., Zhou, Jin, Tcheandjieu, Catherine, Huffman, Jennifer E., Assimes, Themistocles L., Lorenz, Kimberly, Zhu, Xiang, Hilliard, Austin T., Judy, Renae L., Huang, Jie, Lee, Kyung M., Klarin, Derek, Pyarajan, Saiju, Danesh, John, Melander, Olle, Rasheed, Asif, Mallick, Nadeem H., Hameed, Shahid, Qureshi, Irshad H., Afzal, Muhammad Naeem, Malik, Uzma, Jalal, Anjum, Abbas, Shahid, Sheng, Xin, Gao, Long, Kaestner, Klaus H., Susztak, Katalin, Sun, Yan V., DuVall, Scott L., Cho, Kelly, Lee, Jennifer S., Gaziano, J. Michael, Phillips, Lawrence S., Meigs, James B., Reaven, Peter D., Wilson, Peter W., Edwards, Todd L., Rader, Daniel J., Damrauer, Scott M., O’Donnell, Christopher J., Tsao, Philip S., Chang, Kyong-Mi, Voight, Benjamin F., and Saleheen, Danish
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- 2020
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47. Genetic Determinants of Pelvic Organ Prolapse among African American and Hispanic Women in the Women’s Health Initiative
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Giri, Ayush, Wu, Jennifer M, Ward, Renee M, Hartmann, Katherine E, Park, Amy J, North, Kari E, Graff, Mariaelisa, Wallace, Robert B, Bareh, Gihan, Qi, Lihong, O'Sullivan, Mary J, Reiner, Alexander P, Edwards, Todd L, and Edwards, Digna R Velez
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Epidemiology ,Health Sciences ,Reproductive Medicine ,Prevention ,Contraception/Reproduction ,Clinical Research ,Human Genome ,Reproductive health and childbirth ,Black or African American ,Aged ,Clinical Trials as Topic ,Databases ,Factual ,Female ,Gene Frequency ,Genetic Loci ,Genotyping Techniques ,Hispanic or Latino ,Humans ,Middle Aged ,Pelvic Organ Prolapse ,Polymorphism ,Single Nucleotide ,Women's Health ,General Science & Technology - Abstract
Current evidence suggests a multifactorial etiology to pelvic organ prolapse (POP), including genetic predisposition. We conducted a genome-wide association study of POP in African American (AA) and Hispanic (HP) women from the Women's Health Initiative Hormone Therapy study. Cases were defined as any POP (grades 1-3) or moderate/severe POP (grades 2-3), while controls had grade 0 POP. We performed race-specific multiple logistic regression analyses between SNPs imputed to 1000 genomes in relation to POP (grade 0 vs 1-3; grade 0 vs 2-3) adjusting for age at diagnosis, body mass index, parity, and genetic ancestry. There were 1274 controls and 1427 cases of any POP and 317 cases of moderate/severe POP. Although none of the analyses reached genome-wide significance (p
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- 2015
48. Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network
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Zouk, Hana, Venner, Eric, Lennon, Niall J., Muzny, Donna M., Abrams, Debra, Adunyah, Samuel, Albertson-Junkans, Ladia, Ames, Darren C., Appelbaum, Paul, Aronson, Samuel, Aufox, Sharon, Babb, Lawrence J., Balasubramanian, Adithya, Bangash, Hana, Basford, Melissa, Bastarache, Lisa, Baxter, Samantha, Behr, Meckenzie, Benoit, Barbara, Bhoj, Elizabeth, Bielinski, Suzette J., Bland, Sarah T., Blout, Carrie, Borthwick, Kenneth, Bottinger, Erwin P., Bowser, Mark, Brand, Harrison, Brilliant, Murray, Brodeur, Wendy, Caraballo, Pedro, Carrell, David, Carroll, Andrew, Almoguera, Berta, Castillo, Lisa, Castro, Victor, Chandanavelli, Gauthami, Chiang, Theodore, Chisholm, Rex L., Christensen, Kurt D., Chung, Wendy, Chute, Christopher G., City, Brittany, Cobb, Beth L., Connolly, John J., Crane, Paul, Crew, Katherine, Crosslin, David, De Andrade, Mariza, De la Cruz, Jessica, Denson, Shawn, Denny, Josh, DeSmet, Tim, Dikilitas, Ozan, Friedrich, Christopher, Fullerton, Stephanie M., Funke, Birgit, Gabriel, Stacey, Gainer, Vivian, Gharavi, Ali, Glazer, Andrew M., Glessner, Joseph T., Goehringer, Jessica, Gordon, Adam S., Graham, Chet, Green, Robert C., Gundelach, Justin H., Dayal, Jyoti, Hain, Heather S., Hakonarson, Hakon, Harden, Maegan V., Harley, John, Harr, Margaret, Hartzler, Andrea, Hayes, M. Geoffrey, Hebbring, Scott, Henrikson, Nora, Hershey, Andrew, Hoell, Christin, Holm, Ingrid, Howell, Kayla M., Hripcsak, George, Hu, Jianhong, Jarvik, Gail P., Jayaseelan, Joy C., Jiang, Yunyun, Joo, Yoonjung Yoonie, Jose, Sheethal, Josyula, Navya Shilpa, Justice, Anne E., Kalla, Sara E., Kalra, Divya, Karlson, Elizabeth, Kelly, Melissa A., Keating, Brendan J., Kenny, Eimear E., Key, Dustin, Kiryluk, Krzysztof, Kitchner, Terrie, Klanderman, Barbara, Klee, Eric, Kochan, David C., Korchina, Viktoriya, Kottyan, Leah, Kovar, Christie, Kudalkar, Emily, Kullo, Iftikhar J., Lammers, Philip, Larson, Eric B., Lebo, Matthew S., Leduc, Magalie, Lee, Ming Ta (Michael), Leppig, Kathleen A., Leslie, Nancy D., Li, Rongling, Liang, Wayne H., Lin, Chiao-Feng, Linder, Jodell, Lindor, Noralane M., Lingren, Todd, Linneman, James G., Liu, Cong, Liu, Wen, Liu, Xiuping, Lynch, John, Lyon, Hayley, Macbeth, Alyssa, Mahadeshwar, Harshad, Mahanta, Lisa, Malin, Brad, Manolio, Teri, Marasa, Maddalena, Marsolo, Keith, Dinsmore, Michael J., Dodge, Sheila, Hynes, Elizabeth Duffy, Dunlea, Phil, Edwards, Todd L., Eng, Christine M., Fasel, David, Fedotov, Alex, Feng, Qiping, Fleharty, Mark, Foster, Andrea, Freimuth, Robert, McGowan, Michelle L., McNally, Elizabeth, Meldrim, Jim, Mentch, Frank, Mosley, Jonathan, Mukherjee, Shubhabrata, Mullen, Thomas E., Muniz, Jesse, Murdock, David R., Murphy, Shawn, Murugan, Mullai, Myers, Melanie F., Namjou, Bahram, Ni, Yizhao, Obeng, Aniwaa Owusu, Onofrio, Robert C., Taylor, Casey Overby, Person, Thomas N., Peterson, Josh F., Petukhova, Lynn, Pisieczko, Cassandra J., Pratap, Siddharth, Prows, Cynthia A., Puckelwartz, Megan J., Rahm, Alanna Kulchak, Raj, Ritika, Ralston, James D., Ramaprasan, Arvind, Ramirez, Andrea, Rasmussen, Luke, Rasmussen-Torvik, Laura, Rasouly, Hila Milo, Raychaudhuri, Soumya, Ritchie, Marylyn D., Rives, Catherine, Riza, Beenish, Roden, Dan, Rosenthal, Elisabeth A., Santani, Avni, Schaid, Dan, Scherer, Steven, Scott, Stuart, Scrol, Aaron, Sengupta, Soumitra, Shang, Ning, Sharma, Himanshu, Sharp, Richard R., Singh, Rajbir, Sleiman, Patrick M.A., Slowik, Kara, Smith, Joshua C., Smith, Maureen E., Smoller, Jordan W., Sohn, Sunghwan, Stanaway, Ian B., Starren, Justin, Stroud, Mary, Su, Jessica, Tolwinski, Kasia, Van Driest, Sara L., Vargas, Sean M., Varugheese, Matthew, Veenstra, David, Verbitsky, Miguel, Vicente, Gina, Wagner, Michael, Walker, Kimberly, Walunas, Theresa, Wang, Liwen, Wang, Qiaoyan, Wei, Wei-Qi, Weiss, Scott T., Wiesner, Georgia L., Wells, Quinn, Weng, Chunhua, White, Peter S., Wiley, Ken L., Jr., Williams, Janet L., Williams, Marc S., Wilson, Michael W., Witkowski, Leora, Woods, Laura Allison, Woolf, Betty, Wu, Tsung-Jung, Wynn, Julia, Yang, Yaping, Yi, Victoria, Zhang, Ge, Zhang, Lan, Rehm, Heidi L., and Gibbs, Richard A.
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- 2019
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49. Incidence and effect of early postoperative ventricular arrhythmias after congenital heart surgery
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Fuchs, Sarah R., Smith, Andrew H., Van Driest, Sara L., Crum, Kim F., Edwards, Todd L., and Kannankeril, Prince J.
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- 2019
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50. Translational opportunities emerge from genetic influences on health
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Hellwege, Jacklyn N. and Edwards, Todd L.
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- 2022
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