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1. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.

Author

Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry, Yin, Xianyong, Lorenz, Kim, Mandla, Ravi, Huerta-Chagoya, Alicia, Melloni, Giorgio, Kanoni, Stavroula, Rayner, Nigel, Bocher, Ozvan, Arruda, Ana, Sonehara, Kyuto, Namba, Shinichi, Lee, Simon, Preuss, Michael, Petty, Lauren, Schroeder, Philip, Vanderwerff, Brett, Kals, Mart, Bragg, Fiona, Lin, Kuang, Guo, Xiuqing, Zhang, Weihua, Yao, Jie, Kim, Young, Graff, Mariaelisa, Takeuchi, Fumihiko, Nano, Jana, Lamri, Amel, Nakatochi, Masahiro, Moon, Sanghoon, Scott, Robert, Cook, James, Lee, Jung-Jin, Pan, Ian, Taliun, Daniel, Parra, Esteban, Chai, Jin-Fang, Bielak, Lawrence, Tabara, Yasuharu, Hai, Yang, Thorleifsson, Gudmar, Grarup, Niels, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloé, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Kwak, Soo-Heon, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Nongmaithem, Suraj, Noordam, Raymond, Lim, Victor, Tam, Claudia, Joo, Yoonjung, Chen, Chien-Hsiun, Raffield, Laura, Prins, Bram, Nicolas, Aude, Yanek, Lisa, Chen, Guanjie, Brody, Jennifer, Kabagambe, Edmond, An, Ping, Xiang, Anny, Choi, Hyeok, Cade, Brian, Tan, Jingyi, Broadaway, K, Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Thangam, Manonanthini, Adair, Linda, Adeyemo, Adebowale, Aguilar-Salinas, Carlos, Ahluwalia, Tarunveer, Anand, Sonia, Bertoni, Alain, Bork-Jensen, Jette, Brandslund, Ivan, Buchanan, Thomas, Burant, Charles, Butterworth, Adam, Canouil, Mickaël, Chan, Juliana, Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, and Cushman, Mary

Subjects
Humans, Adipocytes, Chromatin, Coronary Artery Disease, Diabetes Mellitus, Type 2, Diabetic Nephropathies, Disease Progression, Endothelial Cells, Enteroendocrine Cells, Epigenomics, Genetic Predisposition to Disease, Genome-Wide Association Study, Islets of Langerhans, Multifactorial Inheritance, Peripheral Arterial Disease, Single-Cell Analysis
Abstract

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P

Published
2024

2. The role of genetically predicted serum iron levels on neurodegenerative and cardiovascular traits

Author

Belbellaj, Wiame, Lona-Durazo, Frida, Bodano, Cinzia, Busseuil, David, Cyr, Marie-Christyne, Fiorillo, Edoardo, Mulas, Antonella, Provost, Sylvie, Steri, Maristella, Tanaka, Toshiko, Vanderwerff, Brett, Wang, Jiongming, Byrne, Ross P., Cucca, Francesco, Dubé, Marie-Pierre, Ferrucci, Luigi, McLaughlin, Russell L., Tardif, Jean-Claude, Zawistowski, Matthew, and Gagliano Taliun, Sarah A.

Published
2024
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3. Clinical associations with a polygenic predisposition to benign lower white blood cell counts

Author

Mosley, Jonathan D., Shelley, John P., Dickson, Alyson L., Zanussi, Jacy, Daniel, Laura L., Zheng, Neil S., Bastarache, Lisa, Wei, Wei-Qi, Shi, Mingjian, Jarvik, Gail P., Rosenthal, Elisabeth A., Khan, Atlas, Sherafati, Alborz, Kullo, Iftikhar J., Walunas, Theresa L., Glessner, Joseph, Hakonarson, Hakon, Cox, Nancy J., Roden, Dan M., Frangakis, Stephan G., Vanderwerff, Brett, Stein, C. Michael, Van Driest, Sara L., Borinstein, Scott C., Shu, Xiao-Ou, Zawistowski, Matthew, Chung, Cecilia P., and Kawai, Vivian K.

Published
2024
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5. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H, Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B, Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N, Faro, Valeria Lo, Lopera-Maya, Esteban A, Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J, Chapman, Sinéad B, Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M, Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A, Guare, Lindsay A, Gignoux, Christopher R, Graham, Sarah E, Hornsby, Whitney E, Ingold, Nathan, Ismail, Said I, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y, Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H, Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M, Thani, Asma Al, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H, Damrauer, Scott M, Douville, Nicholas J, Finer, Sarah, Fritsche, Lars G, Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J, Guo, Yu, Hunt, Karen A, Ioannidis, Alexander, Jansonius, Nomdo M, Konuma, Takahiro, Lee, Ming Ta Michael, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E, Moatamed, Babak, Nava-Aguilar, Marco A, Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A, Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C, Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K, Franke, Lude, Gamazon, Eric R, Ganna, Andrea, Gaunt, Tom R, Ge, Tian, Huang, Hailiang, and Huffman, Jennifer

Subjects
Human Genome, Genetics, Biotechnology, Generic health relevance, Good Health and Well Being, Biobank of the Americas, Biobank Japan Project, BioMe, BioVU, CanPath - Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, QSkin Sun and Health Study, Taiwan Biobank, HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, GWAS, ancestry diversity, biobank, genetic association studies, meta-analysis, phenotype harmonization
Abstract

Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

Published
2022

7. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Mutaamba, Maasha, Partanen, Juulia J., Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Palta, Priit, Pandit, Anita, Preuss, Michael H., Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Zawistowski, Matthew, Zhong, Xue, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Konuma, Takahiro, Marioni, Riccardo E., Nomdo, Jansonius, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Trembath, Richard C., Vonk, Judith M., Whiteman, David, Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Cox, Nancy J., Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lin, Yen-Feng, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., Neale, Benjamin M., Lopera, Esteban, Kerminen, Sini, Wu, Kuan-Han, Bhatta, Laxmi, Brumpton, Ben, Deelen, Patrick, Murakami, Yoshinori, Willer, Cristen, and Hirbo, Jibril

Published
2023
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9. Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J., Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Guare, Lindsay A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Ismail, Said I., Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H., Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M., Al Thani, Asma, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Damrauer, Scott M., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Ioannidis, Alexander, Jansonius, Nomdo M., Konuma, Takahiro, Michael Lee, Ming Ta, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E., Moatamed, Babak, Nava-Aguilar, Marco A., Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Katsanis, Nicholas, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Takano, Tomohiro, Trembath, Richard C., Vonk, Judith M., Whiteman, David C., Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Bustamante, Carlos D., Cox, Nancy J., Fatumo, Segun, Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lee, Seunggeun, Lin, Yen-Feng, Mbarek, Hamdi, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Rader, Daniel J., Ritchie, Marylyn D., Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Biobank of the Americas, Biobank Japan Project, BioMe, BioVU, CanPath - Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, The Qskin Sun and Health Study, Taiwan Biobank, The Hunt Study, Ucla Atlas Community Health Initiative, Uganda Genome Resource, Uk Biobank, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., Neale, Benjamin M., and Elzur, Roy

Published
2022
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10. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author

Winkler, Thomas W., Rasheed, Humaira, Teumer, Alexander, Gorski, Mathias, Rowan, Bryce X., Stanzick, Kira J., Thomas, Laurent F., Tin, Adrienne, Hoppmann, Anselm, Chu, Audrey Y., Tayo, Bamidele, Thio, Chris H. L., Cusi, Daniele, Chai, Jin-Fang, Sieber, Karsten B., Horn, Katrin, Li, Man, Scholz, Markus, Cocca, Massimiliano, Wuttke, Matthias, van der Most, Peter J., Yang, Qiong, Ghasemi, Sahar, Nutile, Teresa, Li, Yong, Pontali, Giulia, Günther, Felix, Dehghan, Abbas, Correa, Adolfo, Parsa, Afshin, Feresin, Agnese, de Vries, Aiko P. J., Zonderman, Alan B., Smith, Albert V., Oldehinkel, Albertine J., De Grandi, Alessandro, Rosenkranz, Alexander R., Franke, Andre, Teren, Andrej, Metspalu, Andres, Hicks, Andrew A., Morris, Andrew P., Tönjes, Anke, Morgan, Anna, Podgornaia, Anna I., Peters, Annette, Körner, Antje, Mahajan, Anubha, Campbell, Archie, Freedman, Barry I., Spedicati, Beatrice, Ponte, Belen, Schöttker, Ben, Brumpton, Ben, Banas, Bernhard, Krämer, Bernhard K., Jung, Bettina, Åsvold, Bjørn Olav, Smith, Blair H., Ning, Boting, Penninx, Brenda W. J. H., Vanderwerff, Brett R., Psaty, Bruce M., Kammerer, Candace M., Langefeld, Carl D., Hayward, Caroline, Spracklen, Cassandra N., Robinson-Cohen, Cassianne, Hartman, Catharina A., Lindgren, Cecilia M., Wang, Chaolong, Sabanayagam, Charumathi, Heng, Chew-Kiat, Lanzani, Chiara, Khor, Chiea-Chuen, Cheng, Ching-Yu, Fuchsberger, Christian, Gieger, Christian, Shaffer, Christian M., Schulz, Christina-Alexandra, Willer, Cristen J., Chasman, Daniel I., Gudbjartsson, Daniel F., Ruggiero, Daniela, Toniolo, Daniela, Czamara, Darina, Porteous, David J., Waterworth, Dawn M., Mascalzoni, Deborah, Mook-Kanamori, Dennis O., Reilly, Dermot F., Daw, E. Warwick, Hofer, Edith, Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P., Tai, E-Shyong, Catamo, Eulalia, Rizzi, Federica, Guo, Feng, Rivadeneira, Fernando, Guilianini, Franco, Sveinbjornsson, Gardar, Ehret, Georg, Waeber, Gerard, Biino, Ginevra, Girotto, Giorgia, Pistis, Giorgio, Nadkarni, Girish N., Delgado, Graciela E., Montgomery, Grant W., Snieder, Harold, Campbell, Harry, White, Harvey D., Gao, He, Stringham, Heather M., Schmidt, Helena, Li, Hengtong, Brenner, Hermann, Holm, Hilma, Kirsten, Holgen, Kramer, Holly, Rudan, Igor, Nolte, Ilja M., Tzoulaki, Ioanna, Olafsson, Isleifur, Martins, Jade, Cook, James P., Wilson, James F., Halbritter, Jan, Felix, Janine F., Divers, Jasmin, Kooner, Jaspal S., Lee, Jeannette Jen-Mai, O’Connell, Jeffrey, Rotter, Jerome I., Liu, Jianjun, Xu, Jie, Thiery, Joachim, Ärnlöv, Johan, Kuusisto, Johanna, Jakobsdottir, Johanna, Tremblay, Johanne, Chambers, John C., Whitfield, John B., Gaziano, John M., Marten, Jonathan, Coresh, Josef, Jonas, Jost B., Mychaleckyj, Josyf C., Christensen, Kaare, Eckardt, Kai-Uwe, Mohlke, Karen L., Endlich, Karlhans, Dittrich, Katalin, Ryan, Kathleen A., Rice, Kenneth M., Taylor, Kent D., Ho, Kevin, Nikus, Kjell, Matsuda, Koichi, Strauch, Konstantin, Miliku, Kozeta, Hveem, Kristian, Lind, Lars, Wallentin, Lars, Yerges-Armstrong, Laura M., Raffield, Laura M., Phillips, Lawrence S., Launer, Lenore J., Lyytikäinen, Leo-Pekka, Lange, Leslie A., Citterio, Lorena, Klaric, Lucija, Ikram, M. Arfan, Ising, Marcus, Kleber, Marcus E., Francescatto, Margherita, Concas, Maria Pina, Ciullo, Marina, Piratsu, Mario, Orho-Melander, Marju, Laakso, Markku, Loeffler, Markus, Perola, Markus, de Borst, Martin H., Gögele, Martin, Bianca, Martina La, Lukas, Mary Ann, Feitosa, Mary F., Biggs, Mary L., Wojczynski, Mary K., Kavousi, Maryam, Kanai, Masahiro, Akiyama, Masato, Yasuda, Masayuki, Nauck, Matthias, Waldenberger, Melanie, Chee, Miao-Li, Chee, Miao-Ling, Boehnke, Michael, Preuss, Michael H., Stumvoll, Michael, Province, Michael A., Evans, Michele K., O’Donoghue, Michelle L., Kubo, Michiaki, Kähönen, Mika, Kastarinen, Mika, Nalls, Mike A., Kuokkanen, Mikko, Ghanbari, Mohsen, Bochud, Murielle, Josyula, Navya Shilpa, Martin, Nicholas G., Tan, Nicholas Y. Q., Palmer, Nicholette D., Pirastu, Nicola, Schupf, Nicole, Verweij, Niek, Hutri-Kähönen, Nina, Mononen, Nina, Bansal, Nisha, Devuyst, Olivier, Melander, Olle, Raitakari, Olli T., Polasek, Ozren, Manunta, Paolo, Gasparini, Paolo, Mishra, Pashupati P., Sulem, Patrick, Magnusson, Patrik K. E., Elliott, Paul, Ridker, Paul M., Hamet, Pavel, Svensson, Per O., Joshi, Peter K., Kovacs, Peter, Pramstaller, Peter P., Rossing, Peter, Vollenweider, Peter, van der Harst, Pim, Dorajoo, Rajkumar, Sim, Ralene Z. H., Burkhardt, Ralph, Tao, Ran, Noordam, Raymond, Mägi, Reedik, Schmidt, Reinhold, de Mutsert, Renée, Rueedi, Rico, van Dam, Rob M., Carroll, Robert J., Gansevoort, Ron T., Loos, Ruth J. F., Felicita, Sala Cinzia, Sedaghat, Sanaz, Padmanabhan, Sandosh, Freitag-Wolf, Sandra, Pendergrass, Sarah A., Graham, Sarah E., Gordon, Scott D., Hwang, Shih-Jen, Kerr, Shona M., Vaccargiu, Simona, Patil, Snehal B., Hallan, Stein, Bakker, Stephan J. L., Lim, Su-Chi, Lucae, Susanne, Vogelezang, Suzanne, Bergmann, Sven, Corre, Tanguy, Ahluwalia, Tarunveer S., Lehtimäki, Terho, Boutin, Thibaud S., Meitinger, Thomas, Wong, Tien-Yin, Bergler, Tobias, Rabelink, Ton J., Esko, Tõnu, Haller, Toomas, Thorsteinsdottir, Unnur, Völker, Uwe, Foo, Valencia Hui Xian, Salomaa, Veikko, Vitart, Veronique, Giedraitis, Vilmantas, Gudnason, Vilmundur, Jaddoe, Vincent W. V., Huang, Wei, Zhang, Weihua, Wei, Wen Bin, Kiess, Wieland, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Gao, Xin, Sim, Xueling, Wang, Ya Xing, Friedlander, Yechiel, Tham, Yih-Chung, Kamatani, Yoichiro, Okada, Yukinori, Milaneschi, Yuri, Yu, Zhi, Stark, Klaus J., Stefansson, Kari, Böger, Carsten A., Hung, Adriana M., Kronenberg, Florian, Köttgen, Anna, Pattaro, Cristian, and Heid, Iris M.

Published
2022
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14. Clinical consequences of a polygenic predisposition to benign lower white blood cell counts

Author

Mosley, Jonathan D., primary, Shelley, John, additional, Dickson, Alyson L., additional, Zanussi, Jacy, additional, Daniel, Laura, additional, Zheng, Neil S, additional, Bastarache, Lisa, additional, Wei, Wei-Qi, additional, Shi, Mingjian, additional, Jarvik, Gail P, additional, Rosenthal, Elisabeth A, additional, Khan, Atlas, additional, Sherafati, Alborz, additional, Kullo, Iftikhar, additional, Walunas, Theresa, additional, Glessner, Joe, additional, Hakonarson, Hakon, additional, Cox, Nancy J, additional, Roden, Dan M., additional, Frangakis, Stephan G., additional, Vanderwerff, Brett, additional, Stein, C. Michael, additional, Van Driest, Sara L., additional, Borinstein, Scott C., additional, Zawistowski, Matthew, additional, Shu, Xiao-Ou, additional, Chung, Cecilia, additional, and Kawai, Vivian K., additional

Published
2023
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15. Confirmatory DPYD Testing in Patients Receiving Fluoropyrimidines who are SuspectedDPYDVariant Carriers Based on a Genetic Data Repository

Author

Pasternak, Amy L, primary, Seda, Robinson, additional, Lipa, Joseph, additional, McDevitt, Rachel L., additional, Crysler, Oxana V, additional, Swiecicki, Paul L, additional, Schneider, Bryan J, additional, Vanderwerff, Brett, additional, Henry, N. Lynn, additional, Krauss, John C, additional, Sahai, Vaibhav, additional, and Hertz, Daniel L, additional

Published
2023
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16. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

Author

Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry J., Yin, Xianyong, Lorenz, Kim M., Mandla, Ravi, Huerta-Chagoya, Alicia, Rayner, Nigel W., Bocher, Ozvan, Ana Luiza de, S. V. Arruda, Sonehara, Kyuto, Namba, Shinichi, Lee, Simon S. K., Preuss, Michael H., Petty, Lauren E., Schroeder, Philip, Vanderwerff, Brett, Kals, Mart, Bragg, Fiona, Lin, Kuang, Guo, Xiuqing, Zhang, Weihua, Yao, Jie, Kim, Young Jin, Graff, Mariaelisa, Takeuchi, Fumihiko, Nano, Jana, Lamri, Amel, Nakatochi, Masahiro, Moon, Sanghoon, Scott, Robert A., Cook, James P., Lee, Jung-Jin, Pan, Ian, Taliun, Daniel, Parra, Esteban J., Chai, Jin-Fang, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Thorleifsson, Gudmar, Grarup, Niels, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloé, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Kwak, Soo-Heon, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Nongmaithem, Suraj S., Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Brody, Jennifer A., Kabagambe, Edmond, An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Alaine Broadaway, K., Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Ahluwalia, Tarunveer S., Anand, Sonia S., Bertoni, Alain, Bork-Jensen, Jette, Brandslund, Ivan, Buchanan, Thomas A., Burant, Charles F., Butterworth, Adam S., Canouil, Mickaël, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Danesh, John, Das, Swapan K., Janaka de Silva, H., Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Gordon-Larsen, Penny, Gross, Myron, Guare, Lindsay A., Hackinger, Sophie, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Horikoshi, Momoko, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md. Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jørgensen, Torben, Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Kyung Min, Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Lithgart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian’an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lynch, Julie A., Lyssenko, Valeriya, Maeda, Shiro, Mamakou, Vasiliki, Mansuri, Sohail Rafik, Matsuda, Koichi, Meitinger, Thomas, Metspalu, Andres, Mo, Huan, Morris, Andrew D., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Patil, Snehal, Pei, Pei, Pereira, Mark A, Peters, Annette, Pirie, Fraser J., Polikowsky, Hannah G., Porneala, Bianca, Prasad, Gauri, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Katheryn, Sabanayagam, Charumathi, Sandow, Kevin, Sankareswaran, Alagu, Sattar, Naveed, Schönherr, Sebastian, Shahriar, Mohammad, Shen, Botong, Shi, Jinxiu, Shin, Dong Mun, Shojima, Nobuhiro, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Steinthorsdottir, Valgerdur, Stilp, Adrienne M., Strauch, Konstantin, Taylor, Kent D., Thorand, Barbara, Thorsteinsdottir, Unnur, Tomlinson, Brian, Tran, Tam C., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Wacher-Rodarte, Niels, Wheeler, Eleanor, Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamamoto, Kenichi, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zawistowski, Matthew, Zhang, Liang, Zheng, Wei, Project, Biobank Japan, BioBank, Penn Medicine, Center, Regeneron Genetics, Consortium, eMERGE, Raffel, Leslie J, Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Fornage, Myriam, Hanis, Craig L., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Yokota, Mitsuhiro, Kardia, Sharon L. R., Peyser, Patricia A., Pankow, James S., Engert, James C., Bonnefond, Amélie, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Wu, Jer-Yuarn, Geoffrey Hayes, M., Ma, Ronald C. W., Wong, Tien-Yin, Mook-Kanamori, Dennis O., Tuomi, Tiinamaija, Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Paré, Guillaume, Sale, Michèle M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J Wouter, Cruz, Miguel, Chen, Yii-Der Ida, Rich, Stephen S., McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Ghanbari, Mohsen, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Bowden, Donald W., Palmer, Colin N. A., Kooner, Jaspal S., Kooperberg, Charles, Liu, Simin, North, Kari E., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Wareham, Nicholas J., Lee, Juyoung, Kim, Bong-Jo, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Goodarzi, Mark O., Mohlke, Karen L., Langenberg, Claudia, Haiman, Christopher A., Loos, Ruth J. F., Florez, Jose C., Rader, Daniel J., Ritchie, Marylyn D., Zöllner, Sebastian, Mägi, Reedik, Denny, Joshua C., Yamauchi, Toshimasa, Kadowaki, Takashi, Chambers, John C., Ng, Maggie C. Y., Sim, Xueling, Below, Jennifer E., Tsao, Philip S., Chang, Kyong-Mi, McCarthy, Mark I., Meigs, James B., Mahajan, Anubha, Spracklen, Cassandra N., Mercader, Josep M., Boehnke, Michael, Rotter, Jerome I., Vujkovic, Marijana, Voight, Benjamin F., Morris, Andrew P., and Zeggini, Eleftheria

Subjects
Article
Abstract

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance (P

Published
2023

17. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H, Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B, Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N, Lo Faro, Valeria, Lopera-Maya, Esteban A, Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J, Chapman, Sinéad B, Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M, Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A, Guare, Lindsay A, Gignoux, Christopher R, Graham, Sarah E, Hornsby, Whitney E, Ingold, Nathan, Ismail, Said I, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y, Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H, Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M, Al Thani, Asma, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, De Bock, Geertruida H, Damrauer, Scott M, Douville, Nicholas J, Finer, Sarah, Fritsche, Lars G, Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J, Guo, Yu, Hunt, Karen A, Ioannidis, Alexander, Jansonius, Nomdo M, Konuma, Takahiro, Lee, Ming Ta Michael, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E, Moatamed, Babak, Nava-Aguilar, Marco A, Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A, Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C, Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K, Franke, Lude, Gamazon, Eric R, Ganna, Andrea, Gaunt, Tom R, Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Katsanis, Nicholas, Koskela, Jukka T, Lajonchere, Clara, Law, Matthew H, Li, Liming, Lindgren, Cecilia M, Loos, Ruth JF, MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M, Porteous, David J, Shavit, Jordan A, Snieder, Harold, Takano, Tomohiro, Trembath, Richard C, Vonk, Judith M, Whiteman, David C, Wicks, Stephen J, Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Bustamante, Carlos D, Cox, Nancy J, Fatumo, Segun, Geschwind, Daniel H, Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E, Lee, Seunggeun, Lin, Yen-Feng, Mbarek, Hamdi, Mägi, Reedik, Martin, Hilary C, Medland, Sarah E, Okada, Yukinori, Palotie, Aarno V, Pasaniuc, Bogdan, Rader, Daniel J, Ritchie, Marylyn D, Sanna, Serena, Smoller, Jordan W, Stefansson, Kari, Van Heel, David A, Walters, Robin G, Zöllner, Sebastian, Biobank Of The Americas, Biobank Japan Project, BioMe, BioVU, CanPath-Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center For Personalized Medicine, DeCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank Of Korea, Penn Medicine BioBank, Qatar Biobank, QSkin Sun And Health Study, Taiwan Biobank, HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, Martin, Alicia R, Willer, Cristen J, Daly, Mark J, Neale, Benjamin M, Namba, Shinichi [0000-0002-7486-3146], Guare, Lindsay A [0000-0001-6988-5319], Palta, Priit [0000-0001-9320-7008], de Bock, Geertruida H [0000-0003-3104-4471], Finer, Sarah [0000-0002-2684-4653], Jansonius, Nomdo M [0000-0002-6495-6568], Rojas-Muñoz, Agustin [0000-0001-7594-0599], Gamazon, Eric R [0000-0003-4204-8734], Ganna, Andrea [0000-0002-8147-240X], Koskela, Jukka T [0000-0002-0154-7222], MacGregor, Stuart [0000-0001-6731-8142], Palotie, Aarno V [0000-0002-2527-5874], and Apollo - University of Cambridge Repository

Subjects
biobank, meta-analysis, genetic association studies, GWAS, ancestry diversity, phenotype harmonization
Abstract

Funder: Biogen, Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

Published
2023
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18. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Author

Wang, Ying, primary, Namba, Shinichi, additional, Lopera, Esteban, additional, Kerminen, Sini, additional, Tsuo, Kristin, additional, Läll, Kristi, additional, Kanai, Masahiro, additional, Zhou, Wei, additional, Wu, Kuan-Han, additional, Favé, Marie-Julie, additional, Bhatta, Laxmi, additional, Awadalla, Philip, additional, Brumpton, Ben, additional, Deelen, Patrick, additional, Hveem, Kristian, additional, Lo Faro, Valeria, additional, Mägi, Reedik, additional, Murakami, Yoshinori, additional, Sanna, Serena, additional, Smoller, Jordan W., additional, Uzunovic, Jasmina, additional, Wolford, Brooke N., additional, Willer, Cristen, additional, Gamazon, Eric R., additional, Cox, Nancy J., additional, Surakka, Ida, additional, Okada, Yukinori, additional, Martin, Alicia R., additional, Hirbo, Jibril, additional, Wu, Kuan-Han H., additional, Rasheed, Humaira, additional, Hirbo, Jibril B., additional, Wang, Ying, additional, Bhattacharya, Arjun, additional, Zhao, Huiling, additional, Lopera-Maya, Esteban A., additional, Chapman, Sinéad B., additional, Karjalainen, Juha, additional, Kurki, Mitja, additional, Mutaamba, Maasha, additional, Partanen, Juulia J., additional, Brumpton, Ben M., additional, Chavan, Sameer, additional, Chen, Tzu-Ting, additional, Daya, Michelle, additional, Ding, Yi, additional, Feng, Yen-Chen A., additional, Gignoux, Christopher R., additional, Graham, Sarah E., additional, Hornsby, Whitney E., additional, Ingold, Nathan, additional, Johnson, Ruth, additional, Laisk, Triin, additional, Lin, Kuang, additional, Lv, Jun, additional, Millwood, Iona Y., additional, Palta, Priit, additional, Pandit, Anita, additional, Preuss, Michael H., additional, Thorsteinsdottir, Unnur, additional, Zawistowski, Matthew, additional, Zhong, Xue, additional, Campbell, Archie, additional, Crooks, Kristy, additional, de Bock, Geertruida H., additional, Douville, Nicholas J., additional, Finer, Sarah, additional, Fritsche, Lars G., additional, Griffiths, Christopher J., additional, Guo, Yu, additional, Hunt, Karen A., additional, Konuma, Takahiro, additional, Marioni, Riccardo E., additional, Nomdo, Jansonius, additional, Patil, Snehal, additional, Rafaels, Nicholas, additional, Richmond, Anne, additional, Shortt, Jonathan A., additional, Straub, Peter, additional, Tao, Ran, additional, Vanderwerff, Brett, additional, Barnes, Kathleen C., additional, Boezen, Marike, additional, Chen, Zhengming, additional, Chen, Chia-Yen, additional, Cho, Judy, additional, Smith, George Davey, additional, Finucane, Hilary K., additional, Franke, Lude, additional, Ganna, Andrea, additional, Gaunt, Tom R., additional, Ge, Tian, additional, Huang, Hailiang, additional, Huffman, Jennifer, additional, Koskela, Jukka T., additional, Lajonchere, Clara, additional, Law, Matthew H., additional, Li, Liming, additional, Lindgren, Cecilia M., additional, Loos, Ruth J.F., additional, MacGregor, Stuart, additional, Matsuda, Koichi, additional, Olsen, Catherine M., additional, Porteous, David J., additional, Shavit, Jordan A., additional, Snieder, Harold, additional, Trembath, Richard C., additional, Vonk, Judith M., additional, Whiteman, David, additional, Wicks, Stephen J., additional, Wijmenga, Cisca, additional, Wright, John, additional, Zheng, Jie, additional, Zhou, Xiang, additional, Boehnke, Michael, additional, Geschwind, Daniel H., additional, Hayward, Caroline, additional, Kenny, Eimear E., additional, Lin, Yen-Feng, additional, Martin, Hilary C., additional, Medland, Sarah E., additional, Palotie, Aarno V., additional, Pasaniuc, Bogdan, additional, Stefansson, Kari, additional, van Heel, David A., additional, Walters, Robin G., additional, Zöllner, Sebastian, additional, Willer, Cristen J., additional, Daly, Mark J., additional, and Neale, Benjamin M., additional

Published
2023
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19. Confirmatory DPYD Testing in Patients Receiving Fluoropyrimidines Who are Suspected DPYD Variant Carriers Based on a Genetic Data Repository.

Author

Pasternak, Amy L., Seda, Robinson, Lipa, Joseph, McDevitt, Rachel L., Crysler, Oxana V., Swiecicki, Paul L., Schneider, Bryan J., Vanderwerff, Brett, Henry, N. Lynn, Krauss, John C., Sahai, Vaibhav, and Hertz, Daniel L.

Subjects
DATA libraries, GENETIC carriers, FLUOROPYRIMIDINES, GENETIC testing, DECISION making
Abstract

Using pharmacogenetics (PGx) to inform clinical decision making can benefit patients but clinical use of PGx testing has been limited. Existing genetics data obtained in the course of research could be used to identify patients who are suspected, but have not yet been confirmed, to carry clinically actionable genotypes, in whom confirmatory genetic testing could be conducted for highly efficient PGx implementation. Herein, we demonstrate that it is regulatorily and technically feasible to implement PGx by identifying suspected carriers of actionable genotypes within an institutional genetics data repository and conduct confirmatory PGx testing immediately prior to that patient receiving the PGx‐relevant drug, using a case study of DPYD testing prior to fluoropyrimidine chemotherapy. In 2 years since launching this program, ~ 3,000 suspected DPYD carriers have been passively monitored and one confirmed DPYD carrier was prevented from receiving unacceptably toxic fluoropyrimidine treatment, for minimal cost and effort. Now that we have demonstrated the feasibility of this strategy, we plan to transition to PGx panel testing and expand implementation to other genes and drugs for which the evidence of clinical benefit of PGx‐informed treatment is high but PGx testing is not generally conducted. This highly efficient implementation process will maximize the clinical benefits of testing and could be explored at other institutions that have research‐only genetic data repositories to expand the number of patients who benefit from PGx‐informed treatment while we continue to work toward wide‐scale adoption of PGx testing and implementation. [ABSTRACT FROM AUTHOR]

Published
2023
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21. The Michigan Genomics Initiative: a biobank linking genotypes and electronic clinical records in Michigan Medicine patients

Author

Zawistowski, Matthew, primary, Fritsche, Lars G., additional, Pandit, Anita, additional, Vanderwerff, Brett, additional, Patil, Snehal, additional, Schmidt, Ellen M., additional, VandeHaar, Peter, additional, Brummett, Chad M., additional, Keterpal, Sachin, additional, Zhou, Xiang, additional, Boehnke, Michael, additional, Abecasis, Gonçalo R., additional, and Zöllner, Sebastian, additional

Published
2021
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22. Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease

Author

Zheng, Tenghao Ellinghaus, David Juzenas, Simonas Cossais, Francois Burmeister, Greta Mayr, Gabriele Jorgensen, Isabella Friis Teder-Laving, Maris Skogholt, Anne Heidi and Chen, Sisi Strege, Peter R. Ito, Go Banasik, Karina and Becker, Thomas Bokelmann, Frank Brunak, Soren Buch, Stephan and Clausnitzer, Hartmut Datz, Christian Degenhardt, Frauke and Doniec, Marek Erikstrup, Christian Esko, Tonu Forster, Michael Frey, Norbert Fritsche, Lars G. Gabrielsen, Maiken Elvestad Grassle, Tobias Gsur, Andrea Gross, Justus and Hampe, Jochen Hendricks, Alexander Hinz, Sebastian Hveem, Kristian Jongen, Johannes Junker, Ralf Karlsen, Tom Hemming and Hemmrich-Stanisak, Georg Kruis, Wolfgang Kupcinskas, Juozas and Laubert, Tilman Rosenstiel, Philip C. Roecken, Christoph and Laudes, Matthias Leendertz, Fabian H. Lieb, Wolfgang and Limperger, Verena Margetis, Nikolaos Matz-Rensing, Kerstin and Nemeth, Christopher Georg Ness-Jensen, Eivind Nowak-Gottl, Ulrike Pandit, Anita Pedersen, Ole Birger Peleikis, Hans Gunter Peuker, Kenneth Rodriguez, Cristina Leal Ruehlemann, Malte Christoph Schniewind, Bodo Schulzky, Martin and Skieceviciene, Jurgita Tepel, Jurgen Thomas, Laurent and Uellendahl-Werth, Florian Ullum, Henrik Vogel, Ilka Volzke, Henry von Fersen, Lorenzo von Schonfels, Witigo Vanderwerff, Brett Wilking, Julia Wittig, Michael Zeissig, Sebastian and Zobel, Myrko Zawistowski, Matthew Vacic, Vladimir Sazonova, Olga Noblin, Elizabeth S. Farrugia, Gianrico Beyder, Arthur and Wedel, Thilo Kahlke, Volker Schafmayer, Clemens D'Amato, Mauro Franke, Andre DBDS Consortium The 23andMe Res Team

Subjects
inorganic chemicals, integumentary system, polycyclic compounds, heterocyclic compounds
Abstract

Objective Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date. Design We conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry. Results We demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix. Conclusion HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction.

Published
2021

23. Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease

Author

Zheng, Tenghao, Ellinghaus, David, Juzenas, Simonas, Cossais, Francois, Burmeister, Greta, Mayr, Gabriele, Jorgensen, Isabella Friis, Teder-Laving, Maris, Skogholt, Anne Heidi, Chen, Sisi, Strege, Peter R., Ito, Go, Banasik, Karina, Becker, Thomas, Bokelmann, Frank, Brunak, Soren, Buch, Stephan, Clausnitzer, Hartmut, Datz, Christian, Degenhardt, Frauke, Doniec, Marek, Erikstrup, Christian, Esko, Tonu, Forster, Michael, Frey, Norbert, Fritsche, Lars G., Gabrielsen, Maiken Elvestad, Grassle, Tobias, Gsur, Andrea, Gross, Justus, Hampe, Jochen, Hendricks, Alexander, Hinz, Sebastian, Hveem, Kristian, Jongen, Johannes, Junker, Ralf, Karlsen, Tom Hemming, Hemmrich-Stanisak, Georg, Kruis, Wolfgang, Kupcinskas, Juozas, Laubert, Tilman, Rosenstiel, Philip C., Roecken, Christoph, Laudes, Matthias, Leendertz, Fabian H., Lieb, Wolfgang, Limperger, Verena, Margetis, Nikolaos, Matz-Rensing, Kerstin, Nemeth, Christopher Georg, Ness-Jensen, Eivind, Nowak-Gottl, Ulrike, Pandit, Anita, Pedersen, Ole Birger, Peleikis, Hans Gunter, Peuker, Kenneth, Rodriguez, Cristina Leal, Ruehlemann, Malte Christoph, Schniewind, Bodo, Schulzky, Martin, Skieceviciene, Jurgita, Tepel, Jurgen, Thomas, Laurent, Uellendahl-Werth, Florian, Ullum, Henrik, Vogel, Ilka, Volzke, Henry, von Fersen, Lorenzo, von Schonfels, Witigo, Vanderwerff, Brett, Wilking, Julia, Wittig, Michael, Zeissig, Sebastian, Zobel, Myrko, Zawistowski, Matthew, Vacic, Vladimir, Sazonova, Olga, Noblin, Elizabeth S., Farrugia, Gianrico, Beyder, Arthur, Wedel, Thilo, Kahlke, Volker, Schafmayer, Clemens, D'Amato, Mauro, Franke, Andre, Zheng, Tenghao, Ellinghaus, David, Juzenas, Simonas, Cossais, Francois, Burmeister, Greta, Mayr, Gabriele, Jorgensen, Isabella Friis, Teder-Laving, Maris, Skogholt, Anne Heidi, Chen, Sisi, Strege, Peter R., Ito, Go, Banasik, Karina, Becker, Thomas, Bokelmann, Frank, Brunak, Soren, Buch, Stephan, Clausnitzer, Hartmut, Datz, Christian, Degenhardt, Frauke, Doniec, Marek, Erikstrup, Christian, Esko, Tonu, Forster, Michael, Frey, Norbert, Fritsche, Lars G., Gabrielsen, Maiken Elvestad, Grassle, Tobias, Gsur, Andrea, Gross, Justus, Hampe, Jochen, Hendricks, Alexander, Hinz, Sebastian, Hveem, Kristian, Jongen, Johannes, Junker, Ralf, Karlsen, Tom Hemming, Hemmrich-Stanisak, Georg, Kruis, Wolfgang, Kupcinskas, Juozas, Laubert, Tilman, Rosenstiel, Philip C., Roecken, Christoph, Laudes, Matthias, Leendertz, Fabian H., Lieb, Wolfgang, Limperger, Verena, Margetis, Nikolaos, Matz-Rensing, Kerstin, Nemeth, Christopher Georg, Ness-Jensen, Eivind, Nowak-Gottl, Ulrike, Pandit, Anita, Pedersen, Ole Birger, Peleikis, Hans Gunter, Peuker, Kenneth, Rodriguez, Cristina Leal, Ruehlemann, Malte Christoph, Schniewind, Bodo, Schulzky, Martin, Skieceviciene, Jurgita, Tepel, Jurgen, Thomas, Laurent, Uellendahl-Werth, Florian, Ullum, Henrik, Vogel, Ilka, Volzke, Henry, von Fersen, Lorenzo, von Schonfels, Witigo, Vanderwerff, Brett, Wilking, Julia, Wittig, Michael, Zeissig, Sebastian, Zobel, Myrko, Zawistowski, Matthew, Vacic, Vladimir, Sazonova, Olga, Noblin, Elizabeth S., Farrugia, Gianrico, Beyder, Arthur, Wedel, Thilo, Kahlke, Volker, Schafmayer, Clemens, D'Amato, Mauro, and Franke, Andre

Abstract

Objective Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date. Design We conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry. Results We demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix. Conclusion HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction.

Published
2021

26. Why are rare variants hard to impute? Coalescent models reveal theoretical limits in existing algorithms.

Author

Yichen Si, Vanderwerff, Brett, and Zöllner, Sebastian

Subjects
*GENETIC mutation, *SEQUENCE analysis, *ALLELES, *GENES, *GENOTYPES, *GENOMICS, *STATISTICAL models, *GENETIC techniques, *PREDICTIVE validity, *ALGORITHMS, *PROBABILITY theory, RESEARCH evaluation
Abstract

Genotype imputation is an indispensable step in human genetic studies. Large reference panels with deeply sequenced genomes now allow interrogating variants with minor allele frequency < 1% without sequencing. Although it is critical to consider limits of this approach, imputation methods for rare variants have only done so empirically; the theoretical basis of their imputation accuracy has not been explored. To provide theoretical consideration of imputation accuracy under the current imputation framework, we develop a coalescent model of imputing rare variants, leveraging the joint genealogy of the sample to be imputed and reference individuals. We show that broadly used imputation algorithms include model misspecifications about this joint genealogy that limit the ability to correctly impute rare variants. We develop closed-form solutions for the probability distribution of this joint genealogy and quantify the inevitable error rate resulting from the model misspecification across a range of allele frequencies and reference sample sizes. We show that the probability of a falsely imputed minor allele decreases with reference sample size, but the proportion of falsely imputed minor alleles mostly depends on the allele count in the reference sample. We summarize the impact of this error on genotype imputation on association tests by calculating the r2 between imputed and true genotype and show that even when modeling other sources of error, the impact of the model misspecification has a significant impact on the r2 of rare variants. To evaluate these predictions in practice, we compare the imputation of the same dataset across imputation panels of different sizes. Although this empirical imputation accuracy is substantially lower than our theoretical prediction, modeling misspecification seems to further decrease imputation accuracy for variants with low allele counts in the reference. These results provide a framework for developing new imputation algorithms and for interpreting rare variant association analyses. [ABSTRACT FROM AUTHOR]

Published
2021
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30. Clinical consequences of a polygenic predisposition to benign lower white blood cell counts: Consequences of benign WBC count genetics.

Author

Mosley JD, Shelley JP, Dickson AL, Zanussi J, Daniel LL, Zheng NS, Bastarache L, Wei WQ, Shi M, Jarvik GP, Rosenthal EA, Khan A, Sherafati A, Kullo IJ, Walunas TL, Glessner J, Hakonarson H, Cox NJ, Roden DM, Frangakis SG, Vanderwerff B, Stein CM, Van Driest SL, Borinstein SC, Shu XO, Zawistowski M, Chung CP, and Kawai VK

Abstract

Polygenic variation unrelated to disease contributes to interindividual variation in baseline white blood cell (WBC) counts, but its clinical significance is undefined. We investigated the clinical consequences of a genetic predisposition toward lower WBC counts among 89,559 biobank participants from tertiary care centers using a polygenic score for WBC count (PGS WBC ) comprising single nucleotide polymorphisms not associated with disease. A predisposition to lower WBC counts was associated with a decreased risk of identifying pathology on a bone marrow biopsy performed for a low WBC count (odds-ratio=0.55 per standard deviation increase in PGS WBC [95%CI, 0.30 - 0.94], p=0.04), an increased risk of leukopenia (a low WBC count) when treated with a chemotherapeutic (n=1,724, hazard ratio [HR]=0.78 [0.69 - 0.88], p=4.0×10 -5 ) or immunosuppressant (n=354, HR=0.61 [0.38 - 0.99], p=0.04). A predisposition to benign lower WBC counts was associated with an increased risk of discontinuing azathioprine treatment (n=1,466, HR=0.62 [0.44 - 0.87], p=0.006). Collectively, these findings suggest that a WBC count polygenic score identifies individuals who are susceptible to escalations or alterations in clinical care that may be harmful or of little benefit., Competing Interests: DECLARATION OF INTERESTS SCB has served on the scientific advisory board for Ipsen Pharmaceuticals and Fennec Pharmaceuticals. The remaining authors have no conflicts of interest.

Published
2023
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31. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications.

Author

Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, Mandla R, Huerta-Chagoya A, Rayner NW, Bocher O, Arruda ALSV, Sonehara K, Namba S, Lee SSK, Preuss MH, Petty LE, Schroeder P, Vanderwerff B, Kals M, Bragg F, Lin K, Guo X, Zhang W, Yao J, Kim YJ, Graff M, Takeuchi F, Nano J, Lamri A, Nakatochi M, Moon S, Scott RA, Cook JP, Lee JJ, Pan I, Taliun D, Parra EJ, Chai JF, Bielak LF, Tabara Y, Hai Y, Thorleifsson G, Grarup N, Sofer T, Wuttke M, Sarnowski C, Gieger C, Nousome D, Trompet S, Kwak SH, Long J, Sun M, Tong L, Chen WM, Nongmaithem SS, Noordam R, Lim VJY, Tam CHT, Joo YY, Chen CH, Raffield LM, Prins BP, Nicolas A, Yanek LR, Chen G, Brody JA, Kabagambe E, An P, Xiang AH, Choi HS, Cade BE, Tan J, Broadaway KA, Williamson A, Kamali Z, Cui J, Adair LS, Adeyemo A, Aguilar-Salinas CA, Ahluwalia TS, Anand SS, Bertoni A, Bork-Jensen J, Brandslund I, Buchanan TA, Burant CF, Butterworth AS, Canouil M, Chan JCN, Chang LC, Chee ML, Chen J, Chen SH, Chen YT, Chen Z, Chuang LM, Cushman M, Danesh J, Das SK, de Silva HJ, Dedoussis G, Dimitrov L, Doumatey AP, Du S, Duan Q, Eckardt KU, Emery LS, Evans DS, Evans MK, Fischer K, Floyd JS, Ford I, Franco OH, Frayling TM, Freedman BI, Genter P, Gerstein HC, Giedraitis V, González-Villalpando C, González-Villalpando ME, Gordon-Larsen P, Gross M, Guare LA, Hackinger S, Han S, Hattersley AT, Herder C, Horikoshi M, Howard AG, Hsueh W, Huang M, Huang W, Hung YJ, Hwang MY, Hwu CM, Ichihara S, Ikram MA, Ingelsson M, Islam MT, Isono M, Jang HM, Jasmine F, Jiang G, Jonas JB, Jørgensen T, Kandeel FR, Kasturiratne A, Katsuya T, Kaur V, Kawaguchi T, Keaton JM, Kho AN, Khor CC, Kibriya MG, Kim DH, Kronenberg F, Kuusisto J, Läll K, Lange LA, Lee KM, Lee MS, Lee NR, Leong A, Li L, Li Y, Li-Gao R, Lithgart S, Lindgren CM, Linneberg A, Liu CT, Liu J, Locke AE, Louie T, Luan J, Luk AO, Luo X, Lv J, Lynch JA, Lyssenko V, Maeda S, Mamakou V, Mansuri SR, Matsuda K, Meitinger T, Metspalu A, Mo H, Morris AD, Nadler JL, Nalls MA, Nayak U, Ntalla I, Okada Y, Orozco L, Patel SR, Patil S, Pei P, Pereira MA, Peters A, Pirie FJ, Polikowsky HG, Porneala B, Prasad G, Rasmussen-Torvik LJ, Reiner AP, Roden M, Rohde R, Roll K, Sabanayagam C, Sandow K, Sankareswaran A, Sattar N, Schönherr S, Shahriar M, Shen B, Shi J, Shin DM, Shojima N, Smith JA, So WY, Stančáková A, Steinthorsdottir V, Stilp AM, Strauch K, Taylor KD, Thorand B, Thorsteinsdottir U, Tomlinson B, Tran TC, Tsai FJ, Tuomilehto J, Tusie-Luna T, Udler MS, Valladares-Salgado A, van Dam RM, van Klinken JB, Varma R, Wacher-Rodarte N, Wheeler E, Wickremasinghe AR, van Dijk KW, Witte DR, Yajnik CS, Yamamoto K, Yamamoto K, Yoon K, Yu C, Yuan JM, Yusuf S, Zawistowski M, Zhang L, Zheng W, Raffel LJ, Igase M, Ipp E, Redline S, Cho YS, Lind L, Province MA, Fornage M, Hanis CL, Ingelsson E, Zonderman AB, Psaty BM, Wang YX, Rotimi CN, Becker DM, Matsuda F, Liu Y, Yokota M, Kardia SLR, Peyser PA, Pankow JS, Engert JC, Bonnefond A, Froguel P, Wilson JG, Sheu WHH, Wu JY, Hayes MG, Ma RCW, Wong TY, Mook-Kanamori DO, Tuomi T, Chandak GR, Collins FS, Bharadwaj D, Paré G, Sale MM, Ahsan H, Motala AA, Shu XO, Park KS, Jukema JW, Cruz M, Chen YI, Rich SS, McKean-Cowdin R, Grallert H, Cheng CY, Ghanbari M, Tai ES, Dupuis J, Kato N, Laakso M, Köttgen A, Koh WP, Bowden DW, Palmer CNA, Kooner JS, Kooperberg C, Liu S, North KE, Saleheen D, Hansen T, Pedersen O, Wareham NJ, Lee J, Kim BJ, Millwood IY, Walters RG, Stefansson K, Goodarzi MO, Mohlke KL, Langenberg C, Haiman CA, Loos RJF, Florez JC, Rader DJ, Ritchie MD, Zöllner S, Mägi R, Denny JC, Yamauchi T, Kadowaki T, Chambers JC, Ng MCY, Sim X, Below JE, Tsao PS, Chang KM, McCarthy MI, Meigs JB, Mahajan A, Spracklen CN, Mercader JM, Boehnke M, Rotter JI, Vujkovic M, Voight BF, Morris AP, and Zeggini E

Abstract

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes. To characterise the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study (GWAS) data from 2,535,601 individuals (39.7% non-European ancestry), including 428,452 T2D cases. We identify 1,289 independent association signals at genome-wide significance ( P <5×10 -8 ) that map to 611 loci, of which 145 loci are previously unreported. We define eight non-overlapping clusters of T2D signals characterised by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial, and enteroendocrine cells. We build cluster-specific partitioned genetic risk scores (GRS) in an additional 137,559 individuals of diverse ancestry, including 10,159 T2D cases, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned GRS are more strongly associated with coronary artery disease and end-stage diabetic nephropathy than an overall T2D GRS across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings demonstrate the value of integrating multi-ancestry GWAS with single-cell epigenomics to disentangle the aetiological heterogeneity driving the development and progression of T2D, which may offer a route to optimise global access to genetically-informed diabetes care., Competing Interests: R.A.S. is now an employee of GlaxoSmithKline. G.T. is an employee of deCODE genetics/Amgen Inc. A.S.B. reports institutional grants from AstraZeneca, Bayer, Biogen, BioMarin, Bioverativ, Novartis, Regeneron and Sanofi. J.Danesh serves on scientific advisory boards for AstraZeneca, Novartis, and UK Biobank, and has received multiple grants from academic, charitable and industry sources outside of the submitted work. L.S.E. is now an employee of Bristol Myers Squibb. J.S.F. has consulted for Shionogi Inc. T.M.F. has consulted for Sanofi, Boehringer Ingelheim, and received funding from GlaxoSmithKline. H.C.G. holds the McMaster-Sanofi Population Health Institute Chair in Diabetes Research and Care; reports research grants from Eli Lilly, AstraZeneca, Merck, Novo Nordisk and Sanofi; honoraria for speaking from AstraZeneca, Boehringer Ingelheim, Eli Lilly, Novo Nordisk, DKSH, Zuellig, Roche, and Sanofi; and consulting fees from Abbott, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Merck, Novo Nordisk, Pfizer, Sanofi, Kowa and Hanmi.lth Institute Chair in Diabetes Research and Care; reports research grants from Eli Lilly, AstraZeneca, Merck, Novo Nordisk and Sanofi; honoraria for speaking from AstraZeneca, Boehringer Ingelheim, Eli Lilly, Novo Nordisk, and Sanofi; and consulting fees from Abbott, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Merck, Novo Nordisk, Janssen, Sanofi, and Kowa. M.Ingelsson is a paid consultant to BioArctic AB. R.L.-G. is a part-time consultant of Metabolon Inc. A.E.L. is now an employee of Regeneron Genetics Center LLC and holds shares in Regeneron Pharmaceuticals. M.A.N. currently serves on the scientific advisory board for Clover Therapeutics and is an advisor to Neuron23 Inc. S.R.P. has received grant funding from Bayer Pharmaceuticals, Philips Respironics and Respicardia. N.Sattar has consulted for or been on speakers bureau for Abbott, Amgen, Astrazeneca, Boehringer Ingelheim, Eli Lilly, Hanmi, Novartis, Novo Nordisk, Sanofi and Pfizer and has received grant funding from Astrazeneca, Boehringer Ingelheim, Novartis and Roche Diagnostics. V.S. is now an employee of deCODE genetics/Amgen Inc. A.M.S. receives funding from Seven Bridges Genomics to develop tools for the NHLBI BioData Catalyst consortium. U.T. is an employee of deCODE genetics/Amgen Inc. E.Ingelsson is now an employee of GlaxoSmithKline. B.M.P. serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. R.C.W.M. reports research funding from AstraZeneca, Bayer, Novo Nordisk, Pfizer, Tricida Inc. and Sanofi, and has consulted for or received speakers fees from AstraZeneca, Bayer, Boehringer Ingelheim, all of which have been donated to the Chinese University of Hong Kong to support diabetes research. D.O.M.-K. is a part-time clinical research consultant for Metabolon Inc. S.Liu reports consulting payments and honoraria or promises of the same for scientific presentations or reviews at numerous venues, including but not limited to Barilla, by-Health Inc, Ausa Pharmed Co.LTD, Fred Hutchinson Cancer Center, Harvard University, University of Buffalo, Guangdong General Hospital and Academy of Medical Sciences, Consulting member for Novo Nordisk, Inc; member of the Data Safety and Monitoring Board for a trial of pulmonary hypertension in diabetes patients at Massachusetts General Hospital; receives royalties from UpToDate; receives an honorarium from the American Society for Nutrition for his duties as Associate Editor. K.Stefansson is an employee of deCODE genetics/Amgen Inc. M.I.M. has served on advisory panels for Pfizer, NovoNordisk and Zoe Global, has received honoraria from Merck, Pfizer, Novo Nordisk and Eli Lilly, and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda; and is now an employee of Genentech and a holder of Roche stock. J.B.M. is an Academic Associate for Quest Diagnostics R&D. A.Mahajan is an employee of Genentech, and a holder of Roche stock.

Published
2023
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32. Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease.

Author

Zheng T, Ellinghaus D, Juzenas S, Cossais F, Burmeister G, Mayr G, Jørgensen IF, Teder-Laving M, Skogholt AH, Chen S, Strege PR, Ito G, Banasik K, Becker T, Bokelmann F, Brunak S, Buch S, Clausnitzer H, Datz C, Degenhardt F, Doniec M, Erikstrup C, Esko T, Forster M, Frey N, Fritsche LG, Gabrielsen ME, Gräßle T, Gsur A, Gross J, Hampe J, Hendricks A, Hinz S, Hveem K, Jongen J, Junker R, Karlsen TH, Hemmrich-Stanisak G, Kruis W, Kupcinskas J, Laubert T, Rosenstiel PC, Röcken C, Laudes M, Leendertz FH, Lieb W, Limperger V, Margetis N, Mätz-Rensing K, Németh CG, Ness-Jensen E, Nowak-Göttl U, Pandit A, Pedersen OB, Peleikis HG, Peuker K, Rodriguez CL, Rühlemann MC, Schniewind B, Schulzky M, Skieceviciene J, Tepel J, Thomas L, Uellendahl-Werth F, Ullum H, Vogel I, Volzke H, von Fersen L, von Schönfels W, Vanderwerff B, Wilking J, Wittig M, Zeissig S, Zobel M, Zawistowski M, Vacic V, Sazonova O, Noblin ES, Farrugia G, Beyder A, Wedel T, Kahlke V, Schafmayer C, D'Amato M, and Franke A

Abstract

Objective: Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date., Design: We conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry., Results: We demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix., Conclusion: HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction., Competing Interests: Competing interests: Vladimir Vacic and Olga V. Sazonova are/were employed by and hold stock or stock options in 23andMe, Inc. All other authors have nothing to declare., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2021
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