211 results on '"Lindgren, Cecilia P."'
Search Results
2. Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records
- Author
-
Venkatesh, Samvida S., Ganjgahi, Habib, Palmer, Duncan S., Coley, Kayesha, Linchangco, Jr., Gregorio V., Hui, Qin, Wilson, Peter, Ho, Yuk-Lam, Cho, Kelly, Arumäe, Kadri, Wittemans, Laura B. L., Nellåker, Christoffer, Vainik, Uku, Sun, Yan V., Holmes, Chris, Lindgren, Cecilia M., and Nicholson, George
- Published
- 2024
- Full Text
- View/download PDF
3. Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY
- Author
-
Vanea, Claudia, Džigurski, Jelisaveta, Rukins, Valentina, Dodi, Omri, Siigur, Siim, Salumäe, Liis, Meir, Karen, Parks, W. Tony, Hochner-Celnikier, Drorith, Fraser, Abigail, Hochner, Hagit, Laisk, Triin, Ernst, Linda M., Lindgren, Cecilia M., and Nellåker, Christoffer
- Published
- 2024
- Full Text
- View/download PDF
4. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
- Author
-
Suzuki, Ken, Hatzikotoulas, Konstantinos, Southam, Lorraine, Taylor, Henry J., Yin, Xianyong, Lorenz, Kim M., Mandla, Ravi, Huerta-Chagoya, Alicia, Melloni, Giorgio E. M., Kanoni, Stavroula, Rayner, Nigel W., Bocher, Ozvan, Arruda, Ana Luiza, 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, Broadaway, K. Alaine, Williamson, Alice, Kamali, Zoha, Cui, Jinrui, Thangam, Manonanthini, 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., de Silva, H. Janaka, 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, Hakaste, Liisa, 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, Kamanu, Frederick K., 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, Ligthart, 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, Melander, Olle, Metspalu, Andres, Mo, Huan, Morris, Andrew D., Moura, Filipe A., 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, 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, Hayes, M. Geoffrey, 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, Ahlqvist, Emma, 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, Marston, Nicholas A., Ruff, Christian T., van Heel, David A., Finer, Sarah, 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
- Published
- 2024
- Full Text
- View/download PDF
5. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake
- Author
-
Williamson, Alice, Norris, Dougall M, Yin, Xianyong, Broadaway, K Alaine, Moxley, Anne H, Vadlamudi, Swarooparani, Wilson, Emma P, Jackson, Anne U, Ahuja, Vasudha, Andersen, Mette K, Arzumanyan, Zorayr, Bonnycastle, Lori L, Bornstein, Stefan R, Bretschneider, Maxi P, Buchanan, Thomas A, Chang, Yi-Cheng, Chuang, Lee-Ming, Chung, Ren-Hua, Clausen, Tine D, Damm, Peter, Delgado, Graciela E, de Mello, Vanessa D, Dupuis, Josée, Dwivedi, Om P, Erdos, Michael R, Silva, Lilian Fernandes, Frayling, Timothy M, Gieger, Christian, Goodarzi, Mark O, Guo, Xiuqing, Gustafsson, Stefan, Hakaste, Liisa, Hammar, Ulf, Hatem, Gad, Herrmann, Sandra, Højlund, Kurt, Horn, Katrin, Hsueh, Willa A, Hung, Yi-Jen, Hwu, Chii-Min, Jonsson, Anna, Kårhus, Line L, Kleber, Marcus E, Kovacs, Peter, Lakka, Timo A, Lauzon, Marie, Lee, I-Te, Lindgren, Cecilia M, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Luan, Jian’an, Aly, Dina Mansour, Mathiesen, Elisabeth, Moissl, Angela P, Morris, Andrew P, Narisu, Narisu, Perakakis, Nikolaos, Peters, Annette, Prasad, Rashmi B, Rodionov, Roman N, Roll, Kathryn, Rundsten, Carsten F, Sarnowski, Chloé, Savonen, Kai, Scholz, Markus, Sharma, Sapna, Stinson, Sara E, Suleman, Sufyan, Tan, Jingyi, Taylor, Kent D, Uusitupa, Matti, Vistisen, Dorte, Witte, Daniel R, Walther, Romy, Wu, Peitao, Xiang, Anny H, Zethelius, Björn, Ahlqvist, Emma, Bergman, Richard N, Chen, Yii-Der Ida, Collins, Francis S, Fall, Tove, Florez, Jose C, Fritsche, Andreas, Grallert, Harald, Groop, Leif, Hansen, Torben, Koistinen, Heikki A, Komulainen, Pirjo, Laakso, Markku, Lind, Lars, Loeffler, Markus, März, Winfried, Meigs, James B, Raffel, Leslie J, Rauramaa, Rainer, Rotter, Jerome I, Schwarz, Peter EH, and Stumvoll, Michael
- Subjects
Biochemistry and Cell Biology ,Genetics ,Biological Sciences ,Diabetes ,Clinical Research ,Human Genome ,Prevention ,Nutrition ,2.1 Biological and endogenous factors ,Aetiology ,5.1 Pharmaceuticals ,Development of treatments and therapeutic interventions ,Metabolic and endocrine ,Humans ,Insulin ,Genome-Wide Association Study ,Insulin Resistance ,Diabetes Mellitus ,Type 2 ,Glucose ,Blood Glucose ,Meta-Analysis of Glucose and Insulin-related Traits Consortium ,Medical and Health Sciences ,Developmental Biology ,Agricultural biotechnology ,Bioinformatics and computational biology - Abstract
Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P
- Published
- 2023
6. The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
- Author
-
Rahmioglu, Nilufer, Mortlock, Sally, Ghiasi, Marzieh, Møller, Peter L, Stefansdottir, Lilja, Galarneau, Geneviève, Turman, Constance, Danning, Rebecca, Law, Matthew H, Sapkota, Yadav, Christofidou, Paraskevi, Skarp, Sini, Giri, Ayush, Banasik, Karina, Krassowski, Michal, Lepamets, Maarja, Marciniak, Błażej, Nõukas, Margit, Perro, Danielle, Sliz, Eeva, Sobalska-Kwapis, Marta, Thorleifsson, Gudmar, Topbas-Selcuki, Nura F, Vitonis, Allison, Westergaard, David, Arnadottir, Ragnheidur, Burgdorf, Kristoffer S, Campbell, Archie, Cheuk, Cecilia SK, Clementi, Caterina, Cook, James, De Vivo, Immaculata, DiVasta, Amy, Dorien, O, Donoghue, Jacqueline F, Edwards, Todd, Fontanillas, Pierre, Fung, Jenny N, Geirsson, Reynir T, Girling, Jane E, Harkki, Paivi, Harris, Holly R, Healey, Martin, Heikinheimo, Oskari, Holdsworth-Carson, Sarah, Hostettler, Isabel C, Houlden, Henry, Houshdaran, Sahar, Irwin, Juan C, Jarvelin, Marjo-Riitta, Kamatani, Yoichiro, Kennedy, Stephen H, Kepka, Ewa, Kettunen, Johannes, Kubo, Michiaki, Kulig, Bartosz, Kurra, Venla, Laivuori, Hannele, Laufer, Marc R, Lindgren, Cecilia M, MacGregor, Stuart, Mangino, Massimo, Martin, Nicholas G, Matalliotaki, Charoula, Matalliotakis, Michail, Murray, Alison D, Ndungu, Anne, Nezhat, Camran, Olsen, Catherine M, Opoku-Anane, Jessica, Padmanabhan, Sandosh, Paranjpe, Manish, Peters, Maire, Polak, Grzegorz, Porteous, David J, Rabban, Joseph, Rexrode, Kathyrn M, Romanowicz, Hanna, Saare, Merli, Saavalainen, Liisu, Schork, Andrew J, Sen, Sushmita, Shafrir, Amy L, Siewierska-Górska, Anna, Słomka, Marcin, Smith, Blair H, Smolarz, Beata, Szaflik, Tomasz, Szyłło, Krzysztof, Takahashi, Atsushi, Terry, Kathryn L, Tomassetti, Carla, Treloar, Susan A, Vanhie, Arne, Vincent, Katy, Vo, Kim C, Werring, David J, Zeggini, Eleftheria, Zervou, Maria I, and Adachi, Sosuke
- Subjects
Biological Sciences ,Genetics ,Contraception/Reproduction ,Clinical Research ,Endometriosis ,Prevention ,Pain Research ,Chronic Pain ,Infertility ,2.1 Biological and endogenous factors ,Aetiology ,Female ,Humans ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Pain ,Comorbidity ,DBDS Genomic Consortium ,FinnGen Study ,FinnGen Endometriosis Taskforce ,Celmatix Research Team ,23andMe Research Team ,Medical and Health Sciences ,Developmental Biology ,Agricultural biotechnology ,Bioinformatics and computational biology - Abstract
Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention.
- Published
- 2023
7. A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
- Author
-
Vanea, Claudia, Campbell, Jonathan, Dodi, Omri, Salumäe, Liis, Meir, Karen, Hochner-Celnikier, Drorith, Hochner, Hagit, Laisk, Triin, Ernst, Linda M., Lindgren, Cecilia M., and Nellåker, Christoffer
- Subjects
Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing ,I.2.6 - Abstract
We introduce a new benchmark dataset, Placenta, for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images. This problem is uniquely challenging for graph learning for a few reasons. Cell graphs are large (>1 million nodes per image), node features are varied (64-dimensions of 11 types of cells), class labels are imbalanced (9 classes ranging from 0.21% of the data to 40.0%), and cellular communities cluster into heterogeneously distributed tissues of widely varying sizes (from 11 nodes to 44,671 nodes for a single structure). Here, we release a dataset consisting of two cell graphs from two placenta histology images totalling 2,395,747 nodes, 799,745 of which have ground truth labels. We present inductive benchmark results for 7 scalable models and show how the unique qualities of cell graphs can help drive the development of novel graph neural network architectures., Comment: Last two authors contributed equally. To be published at New Frontiers In Graph Learning, Neurips 2022
- Published
- 2022
8. Genic constraint against nonsynonymous variation across the mouse genome
- Author
-
Powell, George, Simon, Michelle M., Pulit, Sara, Mallon, Ann-Marie, and Lindgren, Cecilia M.
- Published
- 2023
- Full Text
- View/download PDF
9. Genetic insights into resting heart rate and its role in cardiovascular disease
- Author
-
van de Vegte, Yordi J., Eppinga, Ruben N., van der Ende, M. Yldau, Hagemeijer, Yanick P., Mahendran, Yuvaraj, Salfati, Elias, Smith, Albert V., Tan, Vanessa Y., Arking, Dan E., Ntalla, Ioanna, Appel, Emil V., Schurmann, Claudia, Brody, Jennifer A., Rueedi, Rico, Polasek, Ozren, Sveinbjornsson, Gardar, Lecoeur, Cecile, Ladenvall, Claes, Zhao, Jing Hua, Isaacs, Aaron, Wang, Lihua, Luan, Jian’an, Hwang, Shih-Jen, Mononen, Nina, Auro, Kirsi, Jackson, Anne U., Bielak, Lawrence F., Zeng, Linyao, Shah, Nabi, Nethander, Maria, Campbell, Archie, Rankinen, Tuomo, Pechlivanis, Sonali, Qi, Lu, Zhao, Wei, Rizzi, Federica, Tanaka, Toshiko, Robino, Antonietta, Cocca, Massimiliano, Lange, Leslie, Müller-Nurasyid, Martina, Roselli, Carolina, Zhang, Weihua, Kleber, Marcus E., Guo, Xiuqing, Lin, Henry J., Pavani, Francesca, Galesloot, Tessel E., Noordam, Raymond, Milaneschi, Yuri, Schraut, Katharina E., den Hoed, Marcel, Degenhardt, Frauke, Trompet, Stella, van den Berg, Marten E., Pistis, Giorgio, Tham, Yih-Chung, Weiss, Stefan, Sim, Xueling S., Li, Hengtong L., van der Most, Peter J., Nolte, Ilja M., Lyytikäinen, Leo-Pekka, Said, M. Abdullah, Witte, Daniel R., Iribarren, Carlos, Launer, Lenore, Ring, Susan M., de Vries, Paul S., Sever, Peter, Linneberg, Allan, Bottinger, Erwin P., Padmanabhan, Sandosh, Psaty, Bruce M., Sotoodehnia, Nona, Kolcic, Ivana, Arnar, David O., Gudbjartsson, Daniel F., Holm, Hilma, Balkau, Beverley, Silva, Claudia T., Newton-Cheh, Christopher H., Nikus, Kjell, Salo, Perttu, Mohlke, Karen L., Peyser, Patricia A., Schunkert, Heribert, Lorentzon, Mattias, Lahti, Jari, Rao, Dabeeru C., Cornelis, Marilyn C., Faul, Jessica D., Smith, Jennifer A., Stolarz-Skrzypek, Katarzyna, Bandinelli, Stefania, Concas, Maria Pina, Sinagra, Gianfranco, Meitinger, Thomas, Waldenberger, Melanie, Sinner, Moritz F., Strauch, Konstantin, Delgado, Graciela E., Taylor, Kent D., Yao, Jie, Foco, Luisa, Melander, Olle, de Graaf, Jacqueline, de Mutsert, Renée, de Geus, Eco J. C., Johansson, Åsa, Joshi, Peter K., Lind, Lars, Franke, Andre, Macfarlane, Peter W., Tarasov, Kirill V., Tan, Nicholas, Felix, Stephan B., Tai, E-Shyong, Quek, Debra Q., Snieder, Harold, Ormel, Johan, Ingelsson, Martin, Lindgren, Cecilia, Morris, Andrew P., Raitakari, Olli T., Hansen, Torben, Assimes, Themistocles, Gudnason, Vilmundur, Timpson, Nicholas J., Morrison, Alanna C., Munroe, Patricia B., Strachan, David P., Grarup, Niels, Loos, Ruth J. F., Heckbert, Susan R., Vollenweider, Peter, Hayward, Caroline, Stefansson, Kari, Froguel, Philippe, Groop, Leif, Wareham, Nicholas J., van Duijn, Cornelia M., Feitosa, Mary F., O’Donnell, Christopher J., Kähönen, Mika, Perola, Markus, Boehnke, Michael, Kardia, Sharon L. R., Erdmann, Jeanette, Palmer, Colin N. A., Ohlsson, Claes, Porteous, David J., Eriksson, Johan G., Bouchard, Claude, Moebus, Susanne, Kraft, Peter, Weir, David R., Cusi, Daniele, Ferrucci, Luigi, Ulivi, Sheila, Girotto, Giorgia, Correa, Adolfo, Kääb, Stefan, Peters, Annette, Chambers, John C., Kooner, Jaspal S., März, Winfried, Rotter, Jerome I., Hicks, Andrew A., Smith, J. Gustav, Kiemeney, Lambertus A. L. M., Mook-Kanamori, Dennis O., Penninx, Brenda W. J. H., Gyllensten, Ulf, Wilson, James F., Burgess, Stephen, Sundström, Johan, Lieb, Wolfgang, Jukema, J. Wouter, Eijgelsheim, Mark, Lakatta, Edward L. M., Cheng, Ching-Yu, Dörr, Marcus, Wong, Tien-Yin, Sabanayagam, Charumathi, Oldehinkel, Albertine J., Riese, Harriette, Lehtimäki, Terho, Verweij, Niek, and van der Harst, Pim
- Published
- 2023
- Full Text
- View/download PDF
10. A non-coding variant linked to metabolic obesity with normal weight affects actin remodelling in subcutaneous adipocytes
- Author
-
Glunk, Viktoria, Laber, Samantha, Sinnott-Armstrong, Nasa, Sobreira, Debora R., Strobel, Sophie M., Batista, Thiago M., Kubitz, Phil, Moud, Bahareh Nemati, Ebert, Hannah, Huang, Yi, Brandl, Beate, Garbo, Garrett, Honecker, Julius, Stirling, David R., Abdennur, Nezar, Calabuig-Navarro, Virtu, Skurk, Thomas, Ocvirk, Soeren, Stemmer, Kerstin, Cimini, Beth A., Carpenter, Anne E., Dankel, Simon N., Lindgren, Cecilia M., Hauner, Hans, Nobrega, Marcelo A., and Claussnitzer, Melina
- Published
- 2023
- Full Text
- View/download PDF
11. The genetic architecture of sporadic and multiple consecutive miscarriage.
- Author
-
Laisk, Triin, Soares, Ana Luiza G, Ferreira, Teresa, Painter, Jodie N, Censin, Jenny C, Laber, Samantha, Bacelis, Jonas, Chen, Chia-Yen, Lepamets, Maarja, Lin, Kuang, Liu, Siyang, Millwood, Iona Y, Ramu, Avinash, Southcombe, Jennifer, Andersen, Marianne S, Yang, Ling, Becker, Christian M, Børglum, Anders D, Gordon, Scott D, Bybjerg-Grauholm, Jonas, Helgeland, Øyvind, Hougaard, David M, Jin, Xin, Johansson, Stefan, Juodakis, Julius, Kartsonaki, Christiana, Kukushkina, Viktorija, Lind, Penelope A, Metspalu, Andres, Montgomery, Grant W, Morris, Andrew P, Mors, Ole, Mortensen, Preben B, Njølstad, Pål R, Nordentoft, Merete, Nyholt, Dale R, Lippincott, Margaret, Seminara, Stephanie, Salumets, Andres, Snieder, Harold, Zondervan, Krina, Werge, Thomas, Chen, Zhengming, Conrad, Donald F, Jacobsson, Bo, Li, Liming, Martin, Nicholas G, Neale, Benjamin M, Nielsen, Rasmus, Walters, Robin G, Granne, Ingrid, Medland, Sarah E, Mägi, Reedik, Lawlor, Deborah A, and Lindgren, Cecilia M
- Abstract
Miscarriage is a common, complex trait affecting ~15% of clinically confirmed pregnancies. Here we present the results of large-scale genetic association analyses with 69,054 cases from five different ancestries for sporadic miscarriage, 750 cases of European ancestry for multiple (≥3) consecutive miscarriage, and up to 359,469 female controls. We identify one genome-wide significant association (rs146350366, minor allele frequency (MAF) 1.2%, P = 3.2 × 10-8, odds ratio (OR) = 1.4) for sporadic miscarriage in our European ancestry meta-analysis and three genome-wide significant associations for multiple consecutive miscarriage (rs7859844, MAF = 6.4%, P = 1.3 × 10-8, OR = 1.7; rs143445068, MAF = 0.8%, P = 5.2 × 10-9, OR = 3.4; rs183453668, MAF = 0.5%, P = 2.8 × 10-8, OR = 3.8). We further investigate the genetic architecture of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation analyses. Our results show that miscarriage etiopathogenesis is partly driven by genetic variation potentially related to placental biology, and illustrate the utility of large-scale biobank data for understanding this pregnancy complication.
- Published
- 2020
12. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.
- Author
-
Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, van de Vegte, Yordi J, van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, and Roden, Dan M
- Subjects
Humans ,Cardiovascular Diseases ,Genetic Predisposition to Disease ,Electrocardiography ,Gene Expression ,Multifactorial Inheritance ,Quantitative Trait Loci ,Female ,Male ,Arrhythmias ,Cardiac ,Genetic Variation ,Genome-Wide Association Study ,Genetic Loci ,Endophenotypes ,Arrhythmias ,Cardiac - Abstract
The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.
- Published
- 2020
13. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.
- Author
-
Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjörnsson, Garðar, Fatemifar, Ghazaleh, Hedman, Åsa K, Wilk, Jemma B, Morley, Michael P, Chaffin, Mark D, Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G, Ärnlöv, Johan, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Brandimarto, Jeffrey, Brown, Michael R, Buckbinder, Leonard, Carey, David J, Chasman, Daniel I, Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Dörr, Marcus, Dudley, Samuel C, Dunn, Michael E, Engström, Gunnar, Esko, Tõnu, Felix, Stephan B, Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Guðbjartsson, Daníel F, Gutmann, Rebecca, Haggerty, Christopher M, van der Harst, Pim, Hyde, Craig L, Ingelsson, Erik, Jukema, J Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Køber, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B, März, Winfried, Melander, Olle, Mordi, Ify R, Morgan, Thomas, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Niessner, Alexander, Niiranen, Teemu, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin NA, Parry, Helen M, Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M, Regeneron Genetics Center, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon PR, Rotter, Jerome I, Salo, Perttu, Salomaa, Veikko, van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stender, Steen, and Stott, David J
- Subjects
Regeneron Genetics Center ,Humans ,Atrial Fibrillation ,Cardiomyopathies ,Microfilament Proteins ,Adaptor Proteins ,Signal Transducing ,Carrier Proteins ,Muscle Proteins ,Risk Factors ,Case-Control Studies ,Ventricular Function ,Left ,Cyclin-Dependent Kinase Inhibitor p21 ,Apoptosis Regulatory Proteins ,Coronary Artery Disease ,Heart Failure ,Genome-Wide Association Study ,Mendelian Randomization Analysis ,Adaptor Proteins ,Signal Transducing ,Ventricular Function ,Left - Abstract
Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
- Published
- 2020
14. A saturated map of common genetic variants associated with human height
- Author
-
Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S., Akiyama, Masato, Allison, Matthew A., Alvarez, Marcus, Andersen, Mette K., Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F., Bollepalli, Sailalitha, Bonnycastle, Lori L., Bork-Jensen, Jette, Bradfield, Jonathan P., Bradford, Yuki, Braund, Peter S., Brody, Jennifer A., Burgdorf, Kristoffer S., Cade, Brian E., Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E. Warwick, Degenhard, Frauke, Delgado, Graciela E., Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B., Engmann, Jorgen E., Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D., Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E., Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P., Goel, Anuj, Gordon, Scott D., Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F., Havulinna, Aki S., Haworth, Simon J., He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A., Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E., Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E., Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D., Isono, Masato, Jackson, Anne U., Jäger, Susanne, Jansen, Iris E., Johansson, Ingegerd, Jonas, Jost B., Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L., Kentistou, Katherine A., Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E., Knol, Maria J., Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L., Li, Shengchao A., Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian’an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F., Meidtner, Karina, Melendez, Tori L., Mercader, Josep M., Milaneschi, Yuri, Miller, Jason E., Millwood, Iona Y., Mishra, Pashupati P., Mitchell, Ruth E., Møllehave, Line T., Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P., Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A., Nolte, Ilja M., Nongmaithem, Suraj S., Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R. B., Petersen, Liselotte V., Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H., Pyarajan, Saiju, Raffield, Laura M., Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W., Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E., Ryan, Kathleen A., Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M., Slieker, Roderick C., Smit, Roelof A. J., Smith, Albert V., Smith, Jennifer A., Smyth, Laura J., Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D., Tayo, Bamidele O., Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J., Thorleifsson, Gudmar, Timmers, Paul R. H. J., Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W., van der Most, Peter J., van Klinken, Jan B., van Setten, Jessica, Verma, Shefali S., Verweij, Niek, Veturi, Yogasudha, Wang, Carol A., Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R., Bin Wei, Wen, Wickremasinghe, Ananda R., Wielscher, Matthias, Wiggins, Kerri L., Winsvold, Bendik S., Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A., Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E., Zoledziewska, Magdalena, Adair, Linda S., Adams, Hieab H. H., Aguilar-Salinas, Carlos A., Al-Mulla, Fahd, Arnett, Donna K., Asselbergs, Folkert W., Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A., Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A., Bønnelykke, Klaus, Boomsma, Dorret I., Børglum, Anders D., Borja, Judith B., Bouchard, Claude, Bowden, Donald W., Brandslund, Ivan, Brumpton, Ben, Buring, Julie E., Caulfield, Mark J., Chambers, John C., Chandak, Giriraj R., Chanock, Stephen J., Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E., Ciullo, Marina, Cole, John W., Collins, Francis S., Cooper, Richard S., Cruz, Miguel, Cucca, Francesco, Cupples, L. Adrienne, Cutler, Michael J., Damrauer, Scott M., Dantoft, Thomas M., de Borst, Gert J., de Groot, Lisette C. P. G. M., De Jager, Philip L., de Kleijn, Dominique P. V., Janaka de Silva, H., Dedoussis, George V., den Hollander, Anneke I., Du, Shufa, Easton, Douglas F., Elders, Petra J. M., Eliassen, A. Heather, Ellinor, Patrick T., Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K., Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F., Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W., Freedman, Barry I., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E., Golightly, Yvonne M., Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F. A., Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayward, Caroline, Heckbert, Susan R., Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W., Hishigaki, Haretsugu, Hoyng, Carel B., Huang, Paul L., Huang, Wei, Hunt, Steven C., Hveem, Kristian, Hyppönen, Elina, Iacono, William G., Ichihara, Sahoko, Ikram, M. Arfan, Isasi, Carmen R., Jackson, Rebecca D., Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V., Khor, Chiea Chuen, Kiemeney, Lambertus A. L. M., Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A., Kolovou, Genovefa D., Kooner, Jaspal S., Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M., Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A., Langenberg, Claudia, Launer, Lenore J., Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R., Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A., Lye, Stephen J., Mackey, David A., Mägi, Reedik, Magnusson, Patrik K. E., Marcus, Gregory M., Vidal, Pedro Marques, Martin, Nicholas G., März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W., McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E., Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D., Mitchell, Paul, Mook-Kanamori, Dennis O., Morris, Andrew D., Mucci, Lorelei A., Munroe, Patricia B., Nalls, Mike A., Nazarian, Saman, Nelson, Amanda E., Neville, Matt J., Newton-Cheh, Christopher, Nielsen, Christopher S., Nöthen, Markus M., Ohlsson, Claes, Oldehinkel, Albertine J., Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N. A., Parra, Esteban J., Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E., Penninx, Brenda W. J. H., Perusse, Louis, Peters, Annette, Peyser, Patricia A., Porteous, David J., Posthuma, Danielle, Power, Chris, Pramstaller, Peter P., Province, Michael A., Qi, Qibin, Qu, Jia, Rader, Daniel J., Raitakari, Olli T., Ralhan, Sarju, Rallidis, Loukianos S., Rao, Dabeeru C., Redline, Susan, Reilly, Dermot F., Reiner, Alexander P., Rhee, Sang Youl, Ridker, Paul M., Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D., Roden, Dan M., Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sanghera, Dharambir K., Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B., Schunkert, Heribert, Scott, Laura J., Scott, Rodney J., Sever, Peter, Shiroma, Eric J., Shoemaker, M. Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M., Sims, Mario, Singh, Jai Rup, Singleton, Andrew B., Sinner, Moritz F., Smith, J. Gustav, Snieder, Harold, Spector, Tim D., Stampfer, Meir J., Stark, Klaus J., Strachan, David P., ‘t Hart, Leen M., Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A., Timpson, Nicholas J., Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G., van Dam, Rob M., van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M., van Schoor, Natasja M., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H., Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J., Watanabe, Richard M., Watkins, Hugh, Weir, David R., Werge, Thomas M., Widen, Elisabeth, Wilkens, Lynne R., Willemsen, Gonneke, Willett, Walter C., Wilson, James F., Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F., Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S., Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S., Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M., Zonderman, Alan B., Zwart, John-Anker, Chasman, Daniel I., Cho, Yoon Shin, Heid, Iris M., McCarthy, Mark I., Ng, Maggie C. Y., O’Donnell, Christopher J., Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V., Tai, E. Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E., Lindgren, Cecilia M., Loos, Ruth J. F., Mohlke, Karen L., North, Kari E., Stefansson, Kari, Walters, Robin G., Winkler, Thomas W., Young, Kristin L., Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L., Auton, Adam, Abecasis, Goncalo R., Willer, Cristen J., Locke, Adam E., Berndt, Sonja I., Lettre, Guillaume, Frayling, Timothy M., Okada, Yukinori, Wood, Andrew R., Visscher, Peter M., and Hirschhorn, Joel N.
- Published
- 2022
- Full Text
- View/download PDF
15. Adjusting for Confounding in Unsupervised Latent Representations of Images
- Author
-
Glastonbury, Craig A., Ferlaino, Michael, Nellåker, Christoffer, and Lindgren, Cecilia M.
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
Biological imaging data are often partially confounded or contain unwanted variability. Examples of such phenomena include variable lighting across microscopy image captures, stain intensity variation in histological slides, and batch effects for high throughput drug screening assays. Therefore, to develop "fair" models which generalise well to unseen examples, it is crucial to learn data representations that are insensitive to nuisance factors of variation. In this paper, we present a strategy based on adversarial training, capable of learning unsupervised representations invariant to confounders. As an empirical validation of our method, we use deep convolutional autoencoders to learn unbiased cellular representations from microscopy imaging., Comment: Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216
- Published
- 2018
16. Towards Deep Cellular Phenotyping in Placental Histology
- Author
-
Ferlaino, Michael, Glastonbury, Craig A., Motta-Mejia, Carolina, Vatish, Manu, Granne, Ingrid, Kennedy, Stephen, Lindgren, Cecilia M., and Nellåker, Christoffer
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
The placenta is a complex organ, playing multiple roles during fetal development. Very little is known about the association between placental morphological abnormalities and fetal physiology. In this work, we present an open sourced, computationally tractable deep learning pipeline to analyse placenta histology at the level of the cell. By utilising two deep Convolutional Neural Network architectures and transfer learning, we can robustly localise and classify placental cells within five classes with an accuracy of 89%. Furthermore, we learn deep embeddings encoding phenotypic knowledge that is capable of both stratifying five distinct cell populations and learn intraclass phenotypic variance. We envisage that the automation of this pipeline to population scale studies of placenta histology has the potential to improve our understanding of basic cellular placental biology and its variations, particularly its role in predicting adverse birth outcomes., Comment: Updated MRC funding material. Corrected typo that suggested ensembling and Inception accuracy were the same (updated to reflect the fact the ensemble model is 1% better than previously reported)
- Published
- 2018
17. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
- Author
-
Teumer, Alexander, Li, Yong, Ghasemi, Sahar, Prins, Bram P, Wuttke, Matthias, Hermle, Tobias, Giri, Ayush, Sieber, Karsten B, Qiu, Chengxiang, Kirsten, Holger, Tin, Adrienne, Chu, Audrey Y, Bansal, Nisha, Feitosa, Mary F, Wang, Lihua, Chai, Jin-Fang, Cocca, Massimiliano, Fuchsberger, Christian, Gorski, Mathias, Hoppmann, Anselm, Horn, Katrin, Li, Man, Marten, Jonathan, Noce, Damia, Nutile, Teresa, Sedaghat, Sanaz, Sveinbjornsson, Gardar, Tayo, Bamidele O, van der Most, Peter J, Xu, Yizhe, Yu, Zhi, Gerstner, Lea, Ärnlöv, Johan, Bakker, Stephan JL, Baptista, Daniela, Biggs, Mary L, Boerwinkle, Eric, Brenner, Hermann, Burkhardt, Ralph, Carroll, Robert J, Chee, Miao-Li, Chee, Miao-Ling, Chen, Mengmeng, Cheng, Ching-Yu, Cook, James P, Coresh, Josef, Corre, Tanguy, Danesh, John, de Borst, Martin H, De Grandi, Alessandro, de Mutsert, Renée, de Vries, Aiko PJ, Degenhardt, Frauke, Dittrich, Katalin, Divers, Jasmin, Eckardt, Kai-Uwe, Ehret, Georg, Endlich, Karlhans, Felix, Janine F, Franco, Oscar H, Franke, Andre, Freedman, Barry I, Freitag-Wolf, Sandra, Gansevoort, Ron T, Giedraitis, Vilmantas, Gögele, Martin, Grundner-Culemann, Franziska, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hamet, Pavel, Harris, Tamara B, Hicks, Andrew A, Holm, Hilma, Foo, Valencia Hui Xian, Hwang, Shih-Jen, Ikram, M Arfan, Ingelsson, Erik, Jaddoe, Vincent WV, Jakobsdottir, Johanna, Josyula, Navya Shilpa, Jung, Bettina, Kähönen, Mika, Khor, Chiea-Chuen, Kiess, Wieland, Koenig, Wolfgang, Körner, Antje, Kovacs, Peter, Kramer, Holly, Krämer, Bernhard K, Kronenberg, Florian, Lange, Leslie A, Langefeld, Carl D, Lee, Jeannette Jen-Mai, Lehtimäki, Terho, Lieb, Wolfgang, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M, Liu, Jianjun, and Loeffler, Markus
- Subjects
Animals ,Humans ,Drosophila melanogaster ,Albuminuria ,Diabetes Mellitus ,Genetic Predisposition to Disease ,Creatinine ,Risk Factors ,Chromosome Mapping ,Gene Expression Regulation ,Meta-Analysis as Topic ,Genome-Wide Association Study ,Genetic Loci ,Phenomics - Abstract
Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.
- Published
- 2019
18. Disentangling the genetics of lean mass.
- Author
-
Karasik, David, Zillikens, M, Hsu, Yi-Hsiang, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Barroso, Inês, Bennett, David, Bertram, Lars, Bochud, Murielle, Borecki, Ingrid, Broer, Linda, Buchman, Aron, Byberg, Liisa, Campbell, Harry, Campos-Obando, Natalia, Cauley, Jane, Cawthon, Peggy, Chambers, John, Chen, Zhao, Cho, Nam, Choi, Hyung, Chou, Wen-Chi, Cummings, Steven, de Groot, Lisette, De Jager, Phillip, Demuth, Ilja, Diatchenko, Luda, Econs, Michael, Eiriksdottir, Gudny, Enneman, Anke, Eriksson, Joel, Eriksson, Johan, Estrada, Karol, Evans, Daniel, Feitosa, Mary, Fu, Mao, Gieger, Christian, Grallert, Harald, Gudnason, Vilmundur, Lenore, Launer, Hayward, Caroline, Hofman, Albert, Homuth, Georg, Huffman, Kim, Husted, Lise, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Johnson, Toby, Biffar, Reiner, Jordan, Joanne, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas, Klopp, Norman, Kloth, Jacqueline, Koller, Daniel, Kooner, Jaspal, Kraus, William, Kritchevsky, Stephen, Kutalik, Zoltán, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Langdahl, Bente, Lerch, Markus, Lewis, Joshua, Lill, Christina, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Livshits, Gregory, Ljunggren, Östen, Loos, Ruth, Lorentzon, Mattias, Luan, Jianan, Luben, Robert, Malkin, Ida, McGuigan, Fiona, Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Michaëlsson, Karl, Mitchell, Braxton, Morris, Andrew, Mosekilde, Leif, Nethander, Maria, Newman, Anne, OConnell, Jeffery, Oostra, Ben, Orwoll, Eric, Palotie, Aarno, Peacock, Munro, Perola, Markus, and Peters, Annette
- Subjects
ADAMTS Proteins ,Absorptiometry ,Photon ,Adipose Tissue ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Body Composition ,Body Fluid Compartments ,Electric Impedance ,Extracellular Matrix Proteins ,Female ,Genome-Wide Association Study ,Humans ,Male ,Middle Aged ,Muscle ,Skeletal ,Phenotype ,Polymorphism ,Single Nucleotide ,RNA-Binding Proteins ,Receptor ,Melanocortin ,Type 4 ,Versicans ,White People ,Young Adult - Abstract
BACKGROUND: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass. OBJECTIVES: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci. METHODS: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms). RESULTS: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as sumo wrestler loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed body builder loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in body builder loci were associated with metabolic protection. CONCLUSIONS: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.
- Published
- 2019
19. Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies.
- Author
-
Morris, Andrew P, Le, Thu H, Wu, Haojia, Akbarov, Artur, van der Most, Peter J, Hemani, Gibran, Smith, George Davey, Mahajan, Anubha, Gaulton, Kyle J, Nadkarni, Girish N, Valladares-Salgado, Adan, Wacher-Rodarte, Niels, Mychaleckyj, Josyf C, Dueker, Nicole D, Guo, Xiuqing, Hai, Yang, Haessler, Jeffrey, Kamatani, Yoichiro, Stilp, Adrienne M, Zhu, Gu, Cook, James P, Ärnlöv, Johan, Blanton, Susan H, de Borst, Martin H, Bottinger, Erwin P, Buchanan, Thomas A, Cechova, Sylvia, Charchar, Fadi J, Chu, Pei-Lun, Damman, Jeffrey, Eales, James, Gharavi, Ali G, Giedraitis, Vilmantas, Heath, Andrew C, Ipp, Eli, Kiryluk, Krzysztof, Kramer, Holly J, Kubo, Michiaki, Larsson, Anders, Lindgren, Cecilia M, Lu, Yingchang, Madden, Pamela AF, Montgomery, Grant W, Papanicolaou, George J, Raffel, Leslie J, Sacco, Ralph L, Sanchez, Elena, Stark, Holger, Sundstrom, Johan, Taylor, Kent D, Xiang, Anny H, Zivkovic, Aleksandra, Lind, Lars, Ingelsson, Erik, Martin, Nicholas G, Whitfield, John B, Cai, Jianwen, Laurie, Cathy C, Okada, Yukinori, Matsuda, Koichi, Kooperberg, Charles, Chen, Yii-Der Ida, Rundek, Tatjana, Rich, Stephen S, Loos, Ruth JF, Parra, Esteban J, Cruz, Miguel, Rotter, Jerome I, Snieder, Harold, Tomaszewski, Maciej, Humphreys, Benjamin D, and Franceschini, Nora
- Subjects
Kidney ,Humans ,Kidney Calculi ,Hypertension ,Histones ,Glomerular Filtration Rate ,Histone Code ,Blood Pressure ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,Ethnic Groups ,Female ,Male ,Renal Insufficiency ,Chronic ,Genome-Wide Association Study ,Genetic Loci ,Polymorphism ,Single Nucleotide ,Renal Insufficiency ,Chronic - Abstract
Chronic kidney disease (CKD) affects ~10% of the global population, with considerable ethnic differences in prevalence and aetiology. We assemble genome-wide association studies of estimated glomerular filtration rate (eGFR), a measure of kidney function that defines CKD, in 312,468 individuals of diverse ancestry. We identify 127 distinct association signals with homogeneous effects on eGFR across ancestries and enrichment in genomic annotations including kidney-specific histone modifications. Fine-mapping reveals 40 high-confidence variants driving eGFR associations and highlights putative causal genes with cell-type specific expression in glomerulus, and in proximal and distal nephron. Mendelian randomisation supports causal effects of eGFR on overall and cause-specific CKD, kidney stone formation, diastolic blood pressure and hypertension. These results define novel molecular mechanisms and putative causal genes for eGFR, offering insight into clinical outcomes and routes to CKD treatment development.
- Published
- 2019
20. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
- Author
-
Mahajan, Anubha, Spracklen, Cassandra N., Zhang, Weihua, Ng, Maggie C. Y., Petty, Lauren E., Kitajima, Hidetoshi, Yu, Grace Z., Rüeger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M., Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R., Rayner, Nigel W., Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, della Briotta Parolo, Pietro, Lin, Kuang, Bragg, Fiona, Preuss, Michael H., Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel, Nakatochi, Masahiro, Scott, Robert A., Lee, Jung-Jin, Huerta-Chagoya, Alicia, Graff, Mariaelisa, Chai, Jin-Fang, Parra, Esteban J., Yao, Jie, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Steinthorsdottir, Valgerdur, Cook, James P., Kals, Mart, Grarup, Niels, Schmidt, Ellen M., Pan, Ian, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloe, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Ahmad, Meraj, Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Lecoeur, Cécile, Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Jensen, Richard A., Tajuddin, Salman, Kabagambe, Edmond K., An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Flanagan, Jack, Abaitua, Fernando, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Akiyama, Masato, Anand, Sonia S., Bertoni, Alain, Bian, Zheng, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A., Brummett, Chad M., Buchanan, Thomas A., 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, Das, Swapan K., de Silva, H. Janaka, 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, Fornage, Myriam, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry I., Fuchsberger, Christian, Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, González-Villalpando, Clicerio, González-Villalpando, Maria Elena, Goodarzi, Mark O., Gordon-Larsen, Penny, Gorkin, David, Gross, Myron, Guo, Yu, Hackinger, Sophie, Han, Sohee, Hattersley, Andrew T., Herder, Christian, 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, Marit E., Jørgensen, Torben, Kamatani, Yoichiro, 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, Kohara, Katsuhiko, Kriebel, Jennifer, Kronenberg, Florian, Kuusisto, Johanna, Läll, Kristi, Lange, Leslie A., Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, 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, Lyssenko, Valeriya, Mamakou, Vasiliki, Mani, K. Radha, Meitinger, Thomas, Metspalu, Andres, Morris, Andrew D., Nadkarni, Girish N., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Nongmaithem, Suraj S., Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Porneala, Bianca, Prasad, Gauri, Preissl, Sebastian, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Kathryn, Sabanayagam, Charumathi, Sander, Maike, Sandow, Kevin, Sattar, Naveed, Schönherr, Sebastian, Schurmann, Claudia, Shahriar, Mohammad, Shi, Jinxiu, Shin, Dong Mun, Shriner, Daniel, Smith, Jennifer A., So, Wing Yee, Stančáková, Alena, Stilp, Adrienne M., Strauch, Konstantin, Suzuki, Ken, Takahashi, Atsushi, Taylor, Kent D., Thorand, Barbara, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tomlinson, Brian, Torres, Jason M., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Vujkovic, Marijana, Wacher-Rodarte, Niels, Wheeler, Eleanor, Whitsel, Eric A., Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamauchi, Toshimasa, Yengo, Loïc, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Hanis, Craig L., Peyser, Patricia A., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Zeggini, Eleftheria, Yokota, Mitsuhiro, Rich, Stephen S., Kooperberg, Charles, Pankow, James S., Engert, James C., Chen, Yii-Der Ida, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Kardia, Sharon L. R., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Groop, Leif, Mook-Kanamori, Dennis O., 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, McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Bottinger, Erwin P., Dehghan, Abbas, Tai, E-Shyong, Dupuis, Josée, Kato, Norihiro, Laakso, Markku, Köttgen, Anna, Koh, Woon-Puay, Palmer, Colin N. A., Liu, Simin, Abecasis, Goncalo, Kooner, Jaspal S., Loos, Ruth J. F., North, Kari E., Haiman, Christopher A., Florez, Jose C., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Mägi, Reedik, Langenberg, Claudia, Wareham, Nicholas J., Maeda, Shiro, Kadowaki, Takashi, Lee, Juyoung, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Myers, Simon R., Ferrer, Jorge, Gaulton, Kyle J., Meigs, James B., Mohlke, Karen L., Gloyn, Anna L., Bowden, Donald W., Below, Jennifer E., Chambers, John C., Sim, Xueling, Boehnke, Michael, Rotter, Jerome I., McCarthy, Mark I., and Morris, Andrew P.
- Published
- 2022
- Full Text
- View/download PDF
21. Making sense of the linear genome, gene function and TADs
- Author
-
Long, Helen S., Greenaway, Simon, Powell, George, Mallon, Ann-Marie, Lindgren, Cecilia M., and Simon, Michelle M.
- Published
- 2022
- Full Text
- View/download PDF
22. 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
- Full Text
- View/download PDF
23. Enzyme Dynamics Determine the Potency and Selectivity of Inhibitors Targeting Disease-Transmitting Mosquitoes.
- Author
-
Kumari, Rashmi, Lindgren, Cecilia, Kumar, Rajendra, Forsgren, Nina, Andersson, C. David, Ekström, Fredrik, and Linusson, Anna
- Published
- 2024
- Full Text
- View/download PDF
24. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
- Author
-
Flannick, Jason, Fuchsberger, Christian, Mahajan, Anubha, Teslovich, Tanya M, Agarwala, Vineeta, Gaulton, Kyle J, Caulkins, Lizz, Koesterer, Ryan, Ma, Clement, Moutsianas, Loukas, McCarthy, Davis J, Rivas, Manuel A, Perry, John RB, Sim, Xueling, Blackwell, Thomas W, Robertson, Neil R, Rayner, N William, Cingolani, Pablo, Locke, Adam E, Tajes, Juan Fernandez, Highland, Heather M, Dupuis, Josee, Chines, Peter S, Lindgren, Cecilia M, Hartl, Christopher, Jackson, Anne U, Chen, Han, Huyghe, Jeroen R, van de Bunt, Martijn, Pearson, Richard D, Kumar, Ashish, Müller-Nurasyid, Martina, Grarup, Niels, Stringham, Heather M, Gamazon, Eric R, Lee, Jaehoon, Chen, Yuhui, Scott, Robert A, Below, Jennifer E, Chen, Peng, Huang, Jinyan, Go, Min Jin, Stitzel, Michael L, Pasko, Dorota, Parker, Stephen CJ, Varga, Tibor V, Green, Todd, Beer, Nicola L, Day-Williams, Aaron G, Ferreira, Teresa, Fingerlin, Tasha, Horikoshi, Momoko, Hu, Cheng, Huh, Iksoo, Ikram, Mohammad Kamran, Kim, Bong-Jo, Kim, Yongkang, Kim, Young Jin, Kwon, Min-Seok, Lee, Juyoung, Lee, Selyeong, Lin, Keng-Han, Maxwell, Taylor J, Nagai, Yoshihiko, Wang, Xu, Welch, Ryan P, Yoon, Joon, Zhang, Weihua, Barzilai, Nir, Voight, Benjamin F, Han, Bok-Ghee, Jenkinson, Christopher P, Kuulasmaa, Teemu, Kuusisto, Johanna, Manning, Alisa, Ng, Maggie CY, Palmer, Nicholette D, Balkau, Beverley, Stančáková, Alena, Abboud, Hanna E, Boeing, Heiner, Giedraitis, Vilmantas, Prabhakaran, Dorairaj, Gottesman, Omri, Scott, James, Carey, Jason, Kwan, Phoenix, Grant, George, Smith, Joshua D, Neale, Benjamin M, Purcell, Shaun, Butterworth, Adam S, Howson, Joanna MM, Lee, Heung Man, Lu, Yingchang, Kwak, Soo-Heon, Zhao, Wei, Danesh, John, and Lam, Vincent KL
- Abstract
This corrects the article DOI: 10.1038/sdata.2017.179.
- Published
- 2018
25. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
- Author
-
Flannick, Jason, Fuchsberger, Christian, Mahajan, Anubha, Teslovich, Tanya M, Agarwala, Vineeta, Gaulton, Kyle J, Caulkins, Lizz, Koesterer, Ryan, Ma, Clement, Moutsianas, Loukas, McCarthy, Davis J, Rivas, Manuel A, Perry, John RB, Sim, Xueling, Blackwell, Thomas W, Robertson, Neil R, Rayner, N William, Cingolani, Pablo, Locke, Adam E, Tajes, Juan Fernandez, Highland, Heather M, Dupuis, Josee, Chines, Peter S, Lindgren, Cecilia M, Hartl, Christopher, Jackson, Anne U, Chen, Han, Huyghe, Jeroen R, van de Bunt, Martijn, Pearson, Richard D, Kumar, Ashish, Müller-Nurasyid, Martina, Grarup, Niels, Stringham, Heather M, Gamazon, Eric R, Lee, Jaehoon, Chen, Yuhui, Scott, Robert A, Below, Jennifer E, Chen, Peng, Huang, Jinyan, Go, Min Jin, Stitzel, Michael L, Pasko, Dorota, Parker, Stephen CJ, Varga, Tibor V, Green, Todd, Beer, Nicola L, Day-Williams, Aaron G, Ferreira, Teresa, Fingerlin, Tasha, Horikoshi, Momoko, Hu, Cheng, Huh, Iksoo, Ikram, Mohammad Kamran, Kim, Bong-Jo, Kim, Yongkang, Kim, Young Jin, Kwon, Min-Seok, Lee, Juyoung, Lee, Selyeong, Lin, Keng-Han, Maxwell, Taylor J, Nagai, Yoshihiko, Wang, Xu, Welch, Ryan P, Yoon, Joon, Zhang, Weihua, Barzilai, Nir, Voight, Benjamin F, Han, Bok-Ghee, Jenkinson, Christopher P, Kuulasmaa, Teemu, Kuusisto, Johanna, Manning, Alisa, Ng, Maggie CY, Palmer, Nicholette D, Balkau, Beverley, Stančáková, Alena, Abboud, Hanna E, Boeing, Heiner, Giedraitis, Vilmantas, Prabhakaran, Dorairaj, Gottesman, Omri, Scott, James, Carey, Jason, Kwan, Phoenix, Grant, George, Smith, Joshua D, Neale, Benjamin M, Purcell, Shaun, Butterworth, Adam S, Howson, Joanna MM, Lee, Heung Man, Lu, Yingchang, Kwak, Soo-Heon, Zhao, Wei, Danesh, John, and Lam, Vincent KL
- Subjects
Humans ,Diabetes Mellitus ,Type 2 ,European Continental Ancestry Group ,Genetic Variation ,Diabetes ,Human Genome ,Genetics ,2.1 Biological and endogenous factors ,Metabolic and endocrine - Abstract
To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.
- Published
- 2017
26. Colocalization analysis of polycystic ovary syndrome to identify potential disease-mediating genes and proteins
- Author
-
Censin, Jenny C., Bovijn, Jonas, Holmes, Michael V., and Lindgren, Cecilia M.
- Published
- 2021
- Full Text
- View/download PDF
27. A distribution-centered approach for analyzing human adipocyte size estimates and their association with obesity-related traits and mitochondrial function
- Author
-
Honecker, Julius, Weidlich, Dominik, Heisz, Simone, Lindgren, Cecilia M., Karampinos, Dimitrios C., Claussnitzer, Melina, and Hauner, Hans
- Published
- 2021
- Full Text
- View/download PDF
28. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.
- Author
-
Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei
- Subjects
Epidemiology ,Biological Sciences ,Health Sciences ,Genetics - Abstract
A correction to this article has been published and is linked from the HTML version of this article.
- Published
- 2017
29. Erratum: Genetic loci associated with heart rate variability and their effects on cardiac disease risk.
- Author
-
Nolte, Ilja, Munoz, M, Tragante, Vinicius, Amare, Azmeraw, Jansen, Rick, Vaez, Ahmad, von der Heyde, Benedikt, Avery, Christy, Bis, Joshua, Dierckx, Bram, van Dongen, Jenny, Gogarten, Stephanie, Goyette, Philippe, Hernesniemi, Jussi, Huikari, Ville, Hwang, Shih-Jen, Jaju, Deepali, Kerr, Kathleen, Kluttig, Alexander, Krijthe, Bouwe, Kumar, Jitender, van der Laan, Sander, Lyytikäinen, Leo-Pekka, Maihofer, Adam, Minassian, Arpi, van der Most, Peter, Müller-Nurasyid, Martina, Nivard, Michel, Salvi, Erika, Stewart, James, Thayer, Julian, Verweij, Niek, Wong, Andrew, Zabaneh, Delilah, Zafarmand, Mohammad, Abdellaoui, Abdel, Albarwani, Sulayma, Albert, Christine, Alonso, Alvaro, Ashar, Foram, Auvinen, Juha, Axelsson, Tomas, Baker, Dewleen, de Bakker, Paul, Barcella, Matteo, Bayoumi, Riad, Bieringa, Rob, Boomsma, Dorret, Boucher, Gabrielle, Britton, Annie, Christophersen, Ingrid, Dietrich, Andrea, Ehret, George, Ellinor, Patrick, Eskola, Markku, Felix, Janine, Floras, John, Franco, Oscar, Friberg, Peter, Gademan, Maaike, Geyer, Mark, Giedraitis, Vilmantas, Hartman, Catharina, Hemerich, Daiane, Hofman, Albert, Hottenga, Jouke-Jan, Huikuri, Heikki, Hutri-Kähönen, Nina, Jouven, Xavier, Junttila, Juhani, Juonala, Markus, Kiviniemi, Antti, Kors, Jan, Kumari, Meena, Kuznetsova, Tatiana, Laurie, Cathy, Lefrandt, Joop, Li, Yong, Li, Yun, Liao, Duanping, Limacher, Marian, Lin, Henry, Lindgren, Cecilia, Lubitz, Steven, Mahajan, Anubha, McKnight, Barbara, Zu Schwabedissen, Henriette, Milaneschi, Yuri, Mononen, Nina, Morris, Andrew, Nalls, Mike, Navis, Gerjan, Neijts, Melanie, Nikus, Kjell, North, Kari, OConnor, Daniel, Ormel, Johan, Perz, Siegfried, Peters, Annette, and Psaty, Bruce
- Abstract
This corrects the article DOI: 10.1038/ncomms15805.
- Published
- 2017
30. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.
- Author
-
Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei
- Subjects
Humans ,Thinness ,17-Hydroxysteroid Dehydrogenases ,Aldehyde Oxidoreductases ,Extracellular Matrix Proteins ,Body Composition ,Phenotype ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Regulatory Elements ,Transcriptional ,Versicans ,Genome-Wide Association Study ,Insulin Receptor Substrate Proteins ,ADAMTS Proteins ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Human Genome ,Genetics ,1.1 Normal biological development and functioning - Abstract
Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p
- Published
- 2017
31. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness.
- Author
-
Willems, Sara M, Wright, Daniel J, Day, Felix R, Trajanoska, Katerina, Joshi, Peter K, Morris, John A, Matteini, Amy M, Garton, Fleur C, Grarup, Niels, Oskolkov, Nikolay, Thalamuthu, Anbupalam, Mangino, Massimo, Liu, Jun, Demirkan, Ayse, Lek, Monkol, Xu, Liwen, Wang, Guan, Oldmeadow, Christopher, Gaulton, Kyle J, Lotta, Luca A, Miyamoto-Mikami, Eri, Rivas, Manuel A, White, Tom, Loh, Po-Ru, Aadahl, Mette, Amin, Najaf, Attia, John R, Austin, Krista, Benyamin, Beben, Brage, Søren, Cheng, Yu-Ching, Cięszczyk, Paweł, Derave, Wim, Eriksson, Karl-Fredrik, Eynon, Nir, Linneberg, Allan, Lucia, Alejandro, Massidda, Myosotis, Mitchell, Braxton D, Miyachi, Motohiko, Murakami, Haruka, Padmanabhan, Sandosh, Pandey, Ashutosh, Papadimitriou, Ioannis, Rajpal, Deepak K, Sale, Craig, Schnurr, Theresia M, Sessa, Francesco, Shrine, Nick, Tobin, Martin D, Varley, Ian, Wain, Louise V, Wray, Naomi R, Lindgren, Cecilia M, MacArthur, Daniel G, Waterworth, Dawn M, McCarthy, Mark I, Pedersen, Oluf, Khaw, Kay-Tee, Kiel, Douglas P, GEFOS Any-Type of Fracture Consortium, Pitsiladis, Yannis, Fuku, Noriyuki, Franks, Paul W, North, Kathryn N, van Duijn, Cornelia M, Mather, Karen A, Hansen, Torben, Hansson, Ola, Spector, Tim, Murabito, Joanne M, Richards, J Brent, Rivadeneira, Fernando, Langenberg, Claudia, Perry, John RB, Wareham, Nick J, and Scott, Robert A
- Subjects
GEFOS Any-Type of Fracture Consortium ,Hand ,Humans ,Actins ,Transforming Growth Factor alpha ,Membrane Proteins ,Neoplasm Proteins ,Nuclear Proteins ,Repressor Proteins ,Hand Strength ,Cohort Studies ,Genetics ,Population ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,European Continental Ancestry Group ,Female ,Male ,Genome-Wide Association Study ,Genetic Loci ,United Kingdom ,Prevention ,Genetics ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning ,Musculoskeletal - Abstract
Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P
- Published
- 2017
32. Genetic loci associated with heart rate variability and their effects on cardiac disease risk.
- Author
-
Nolte, Ilja M, Munoz, M Loretto, Tragante, Vinicius, Amare, Azmeraw T, Jansen, Rick, Vaez, Ahmad, von der Heyde, Benedikt, Avery, Christy L, Bis, Joshua C, Dierckx, Bram, van Dongen, Jenny, Gogarten, Stephanie M, Goyette, Philippe, Hernesniemi, Jussi, Huikari, Ville, Hwang, Shih-Jen, Jaju, Deepali, Kerr, Kathleen F, Kluttig, Alexander, Krijthe, Bouwe P, Kumar, Jitender, van der Laan, Sander W, Lyytikäinen, Leo-Pekka, Maihofer, Adam X, Minassian, Arpi, van der Most, Peter J, Müller-Nurasyid, Martina, Nivard, Michel, Salvi, Erika, Stewart, James D, Thayer, Julian F, Verweij, Niek, Wong, Andrew, Zabaneh, Delilah, Zafarmand, Mohammad H, Abdellaoui, Abdel, Albarwani, Sulayma, Albert, Christine, Alonso, Alvaro, Ashar, Foram, Auvinen, Juha, Axelsson, Tomas, Baker, Dewleen G, de Bakker, Paul IW, Barcella, Matteo, Bayoumi, Riad, Bieringa, Rob J, Boomsma, Dorret, Boucher, Gabrielle, Britton, Annie R, Christophersen, Ingrid, Dietrich, Andrea, Ehret, George B, Ellinor, Patrick T, Eskola, Markku, Felix, Janine F, Floras, John S, Franco, Oscar H, Friberg, Peter, Gademan, Maaike GJ, Geyer, Mark A, Giedraitis, Vilmantas, Hartman, Catharina A, Hemerich, Daiane, Hofman, Albert, Hottenga, Jouke-Jan, Huikuri, Heikki, Hutri-Kähönen, Nina, Jouven, Xavier, Junttila, Juhani, Juonala, Markus, Kiviniemi, Antti M, Kors, Jan A, Kumari, Meena, Kuznetsova, Tatiana, Laurie, Cathy C, Lefrandt, Joop D, Li, Yong, Li, Yun, Liao, Duanping, Limacher, Marian C, Lin, Henry J, Lindgren, Cecilia M, Lubitz, Steven A, Mahajan, Anubha, McKnight, Barbara, Zu Schwabedissen, Henriette Meyer, Milaneschi, Yuri, Mononen, Nina, Morris, Andrew P, Nalls, Mike A, Navis, Gerjan, Neijts, Melanie, Nikus, Kjell, North, Kari E, O'Connor, Daniel T, Ormel, Johan, Perz, Siegfried, Peters, Annette, and Psaty, Bruce M
- Subjects
Humans ,Heart Diseases ,Genetic Predisposition to Disease ,RGS Proteins ,Potassium Channels ,Muscle Proteins ,Risk Factors ,Cohort Studies ,Blood Pressure ,Heart Rate ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,European Continental Ancestry Group ,Genome-Wide Association Study ,Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels ,Cardiovascular ,Genetics ,Heart Disease - Abstract
Reduced cardiac vagal control reflected in low heart rate variability (HRV) is associated with greater risks for cardiac morbidity and mortality. In two-stage meta-analyses of genome-wide association studies for three HRV traits in up to 53,174 individuals of European ancestry, we detect 17 genome-wide significant SNPs in eight loci. HRV SNPs tag non-synonymous SNPs (in NDUFA11 and KIAA1755), expression quantitative trait loci (eQTLs) (influencing GNG11, RGS6 and NEO1), or are located in genes preferentially expressed in the sinoatrial node (GNG11, RGS6 and HCN4). Genetic risk scores account for 0.9 to 2.6% of the HRV variance. Significant genetic correlation is found for HRV with heart rate (-0.74g
- Published
- 2017
33. Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function
- Author
-
Wild, Philipp S, Felix, Janine F, Schillert, Arne, Teumer, Alexander, Chen, Ming-Huei, Leening, Maarten JG, Völker, Uwe, Großmann, Vera, Brody, Jennifer A, Irvin, Marguerite R, Shah, Sanjiv J, Pramana, Setia, Lieb, Wolfgang, Schmidt, Reinhold, Stanton, Alice V, Malzahn, Dörthe, Smith, Albert Vernon, Sundström, Johan, Minelli, Cosetta, Ruggiero, Daniela, Lyytikäinen, Leo-Pekka, Tiller, Daniel, Smith, J Gustav, Monnereau, Claire, Di Tullio, Marco R, Musani, Solomon K, Morrison, Alanna C, Pers, Tune H, Morley, Michael, Kleber, Marcus E, Aragam, Jayashri, Benjamin, Emelia J, Bis, Joshua C, Bisping, Egbert, Broeckel, Ulrich, Cheng, Susan, Deckers, Jaap W, Del Greco M, Fabiola, Edelmann, Frank, Fornage, Myriam, Franke, Lude, Friedrich, Nele, Harris, Tamara B, Hofer, Edith, Hofman, Albert, Huang, Jie, Hughes, Alun D, Kähönen, Mika, investigators, KNHI, Kruppa, Jochen, Lackner, Karl J, Lannfelt, Lars, Laskowski, Rafael, Launer, Lenore J, Leosdottir, Margrét, Lin, Honghuang, Lindgren, Cecilia M, Loley, Christina, MacRae, Calum A, Mascalzoni, Deborah, Mayet, Jamil, Medenwald, Daniel, Morris, Andrew P, Müller, Christian, Müller-Nurasyid, Martina, Nappo, Stefania, Nilsson, Peter M, Nuding, Sebastian, Nutile, Teresa, Peters, Annette, Pfeufer, Arne, Pietzner, Diana, Pramstaller, Peter P, Raitakari, Olli T, Rice, Kenneth M, Rivadeneira, Fernando, Rotter, Jerome I, Ruohonen, Saku T, Sacco, Ralph L, Samdarshi, Tandaw E, Schmidt, Helena, Sharp, Andrew SP, Shields, Denis C, Sorice, Rossella, Sotoodehnia, Nona, Stricker, Bruno H, Surendran, Praveen, Thom, Simon, Töglhofer, Anna M, Uitterlinden, André G, Wachter, Rolf, Völzke, Henry, Ziegler, Andreas, Münzel, Thomas, März, Winfried, Cappola, Thomas P, Hirschhorn, Joel N, Mitchell, Gary F, Smith, Nicholas L, and Fox, Ervin R
- Subjects
Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Human Genome ,Clinical Research ,Prevention ,Heart Disease ,Cardiovascular ,2.1 Biological and endogenous factors ,Aetiology ,Female ,Genetic Loci ,Genome-Wide Association Study ,Heart Diseases ,Humans ,Male ,Myocardium ,Polymorphism ,Single Nucleotide ,Quantitative Trait ,Heritable ,Medical and Health Sciences ,Immunology ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundUnderstanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function.MethodsA GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function.ResultsThe discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue.ConclusionThe additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.FundingFor detailed information per study, see Acknowledgments.
- Published
- 2017
34. Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation
- Author
-
Chu, Audrey Y, Deng, Xuan, Fisher, Virginia A, Drong, Alexander, Zhang, Yang, Feitosa, Mary F, Liu, Ching-Ti, Weeks, Olivia, Choh, Audrey C, Duan, Qing, Dyer, Thomas D, Eicher, John D, Guo, Xiuqing, Heard-Costa, Nancy L, Kacprowski, Tim, Kent, Jack W, Lange, Leslie A, Liu, Xinggang, Lohman, Kurt, Lu, Lingyi, Mahajan, Anubha, O'Connell, Jeffrey R, Parihar, Ankita, Peralta, Juan M, Smith, Albert V, Zhang, Yi, Homuth, Georg, Kissebah, Ahmed H, Kullberg, Joel, Laqua, René, Launer, Lenore J, Nauck, Matthias, Olivier, Michael, Peyser, Patricia A, Terry, James G, Wojczynski, Mary K, Yao, Jie, Bielak, Lawrence F, Blangero, John, Borecki, Ingrid B, Bowden, Donald W, Carr, John Jeffrey, Czerwinski, Stefan A, Ding, Jingzhong, Friedrich, Nele, Gudnason, Vilmunder, Harris, Tamara B, Ingelsson, Erik, Johnson, Andrew D, Kardia, Sharon LR, Langefeld, Carl D, Lind, Lars, Liu, Yongmei, Mitchell, Braxton D, Morris, Andrew P, Mosley, Thomas H, Rotter, Jerome I, Shuldiner, Alan R, Towne, Bradford, Völzke, Henry, Wallaschofski, Henri, Wilson, James G, Allison, Matthew, Lindgren, Cecilia M, Goessling, Wolfram, Cupples, L Adrienne, Steinhauser, Matthew L, and Fox, Caroline S
- Subjects
Nutrition ,Human Genome ,Genetics ,Adipocytes ,Animals ,Body Fat Distribution ,Cell Differentiation ,Cohort Studies ,Ethnicity ,Female ,Genetic Loci ,Genetic Markers ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Male ,Mice ,Mice ,Inbred C57BL ,Obesity ,Phenotype ,Polymorphism ,Single Nucleotide ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Variation in body fat distribution contributes to the metabolic sequelae of obesity. The genetic determinants of body fat distribution are poorly understood. The goal of this study was to gain new insights into the underlying genetics of body fat distribution by conducting sample-size-weighted fixed-effects genome-wide association meta-analyses in up to 9,594 women and 8,738 men of European, African, Hispanic and Chinese ancestry, with and without sex stratification, for six traits associated with ectopic fat (hereinafter referred to as ectopic-fat traits). In total, we identified seven new loci associated with ectopic-fat traits (ATXN1, UBE2E2, EBF1, RREB1, GSDMB, GRAMD3 and ENSA; P < 5 × 10-8; false discovery rate < 1%). Functional analysis of these genes showed that loss of function of either Atxn1 or Ube2e2 in primary mouse adipose progenitor cells impaired adipocyte differentiation, suggesting physiological roles for ATXN1 and UBE2E2 in adipogenesis. Future studies are necessary to further explore the mechanisms by which these genes affect adipocyte biology and how their perturbations contribute to systemic metabolic disease.
- Published
- 2017
35. Genome-wide association study identifies 48 common genetic variants associated with handedness
- Author
-
Cuellar-Partida, Gabriel, Tung, Joyce Y., Eriksson, Nicholas, Albrecht, Eva, Aliev, Fazil, Andreassen, Ole A., Barroso, Inês, Beckmann, Jacques S., Boks, Marco P., Boomsma, Dorret I., Boyd, Heather A., Breteler, Monique M. B., Campbell, Harry, Chasman, Daniel I., Cherkas, Lynn F., Davies, Gail, de Geus, Eco J. C., Deary, Ian J., Deloukas, Panos, Dick, Danielle M., Duffy, David L., Eriksson, Johan G., Esko, Tõnu, Feenstra, Bjarke, Geller, Frank, Gieger, Christian, Giegling, Ina, Gordon, Scott D., Han, Jiali, Hansen, Thomas F., Hartmann, Annette M., Hayward, Caroline, Heikkilä, Kauko, Hicks, Andrew A., Hirschhorn, Joel N., Hottenga, Jouke-Jan, Huffman, Jennifer E., Hwang, Liang-Dar, Ikram, M. Arfan, Kaprio, Jaakko, Kemp, John P., Khaw, Kay-Tee, Klopp, Norman, Konte, Bettina, Kutalik, Zoltan, Lahti, Jari, Li, Xin, Loos, Ruth J. F., Luciano, Michelle, Magnusson, Sigurdur H., Mangino, Massimo, Marques-Vidal, Pedro, Martin, Nicholas G., McArdle, Wendy L., McCarthy, Mark I., Medina-Gomez, Carolina, Melbye, Mads, Melville, Scott A., Metspalu, Andres, Milani, Lili, Mooser, Vincent, Nelis, Mari, Nyholt, Dale R., O’Connell, Kevin S., Ophoff, Roel A., Palmer, Cameron, Palotie, Aarno, Palviainen, Teemu, Pare, Guillaume, Paternoster, Lavinia, Peltonen, Leena, Penninx, Brenda W. J. H., Polasek, Ozren, Pramstaller, Peter P., Prokopenko, Inga, Raikkonen, Katri, Ripatti, Samuli, Rivadeneira, Fernando, Rudan, Igor, Rujescu, Dan, Smit, Johannes H., Smith, George Davey, Smoller, Jordan W., Soranzo, Nicole, Spector, Tim D., Pourcain, Beate St, Starr, John M., Stefánsson, Hreinn, Steinberg, Stacy, Teder-Laving, Maris, Thorleifsson, Gudmar, Stefánsson, Kári, Timpson, Nicholas J., Uitterlinden, André G., van Duijn, Cornelia M., van Rooij, Frank J. A., Vink, Jaqueline M., Vollenweider, Peter, Vuoksimaa, Eero, Waeber, Gérard, Wareham, Nicholas J., Warrington, Nicole, Waterworth, Dawn, Werge, Thomas, Wichmann, H.-Erich, Widen, Elisabeth, Willemsen, Gonneke, Wright, Alan F., Wright, Margaret J., Xu, Mousheng, Zhao, Jing Hua, Kraft, Peter, Hinds, David A., Lindgren, Cecilia M., Mägi, Reedik, Neale, Benjamin M., Evans, David M., and Medland, Sarah E.
- Published
- 2021
- Full Text
- View/download PDF
36. Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci
- Author
-
Walford, Geoffrey A, Gustafsson, Stefan, Rybin, Denis, Stančáková, Alena, Chen, Han, Liu, Ching-Ti, Hong, Jaeyoung, Jensen, Richard A, Rice, Ken, Morris, Andrew P, Mägi, Reedik, Tönjes, Anke, Prokopenko, Inga, Kleber, Marcus E, Delgado, Graciela, Silbernagel, Günther, Jackson, Anne U, Appel, Emil V, Grarup, Niels, Lewis, Joshua P, Montasser, May E, Landenvall, Claes, Staiger, Harald, Luan, Jian’an, Frayling, Timothy M, Weedon, Michael N, Xie, Weijia, Morcillo, Sonsoles, Martínez-Larrad, María Teresa, Biggs, Mary L, Chen, Yii-Der Ida, Corbaton-Anchuelo, Arturo, Færch, Kristine, Gómez-Zumaquero, Juan Miguel, Goodarzi, Mark O, Kizer, Jorge R, Koistinen, Heikki A, Leong, Aaron, Lind, Lars, Lindgren, Cecilia, Machicao, Fausto, Manning, Alisa K, Martín-Núñez, Gracia María, Rojo-Martínez, Gemma, Rotter, Jerome I, Siscovick, David S, Zmuda, Joseph M, Zhang, Zhongyang, Serrano-Rios, Manuel, Smith, Ulf, Soriguer, Federico, Hansen, Torben, Jørgensen, Torben J, Linnenberg, Allan, Pedersen, Oluf, Walker, Mark, Langenberg, Claudia, Scott, Robert A, Wareham, Nicholas J, Fritsche, Andreas, Häring, Hans-Ulrich, Stefan, Norbert, Groop, Leif, O’Connell, Jeff R, Boehnke, Michael, Bergman, Richard N, Collins, Francis S, Mohlke, Karen L, Tuomilehto, Jaakko, März, Winfried, Kovacs, Peter, Stumvoll, Michael, Psaty, Bruce M, Kuusisto, Johanna, Laakso, Markku, Meigs, James B, Dupuis, Josée, Ingelsson, Erik, and Florez, Jose C
- Subjects
Biomedical and Clinical Sciences ,Genetics ,Prevention ,Human Genome ,Diabetes ,Aetiology ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Chemokines ,CC ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Insulin Receptor Substrate Proteins ,Insulin Resistance ,Male ,Polymorphism ,Single Nucleotide ,Proto-Oncogene Proteins c-bcl-2 ,Medical and Health Sciences ,Endocrinology & Metabolism ,Biomedical and clinical sciences - Abstract
Genome-wide association studies (GWAS) have found few common variants that influence fasting measures of insulin sensitivity. We hypothesized that a GWAS of an integrated assessment of fasting and dynamic measures of insulin sensitivity would detect novel common variants. We performed a GWAS of the modified Stumvoll Insulin Sensitivity Index (ISI) within the Meta-Analyses of Glucose and Insulin-Related Traits Consortium. Discovery for genetic association was performed in 16,753 individuals, and replication was attempted for the 23 most significant novel loci in 13,354 independent individuals. Association with ISI was tested in models adjusted for age, sex, and BMI and in a model analyzing the combined influence of the genotype effect adjusted for BMI and the interaction effect between the genotype and BMI on ISI (model 3). In model 3, three variants reached genome-wide significance: rs13422522 (NYAP2; P = 8.87 × 10(-11)), rs12454712 (BCL2; P = 2.7 × 10(-8)), and rs10506418 (FAM19A2; P = 1.9 × 10(-8)). The association at NYAP2 was eliminated by conditioning on the known IRS1 insulin sensitivity locus; the BCL2 and FAM19A2 associations were independent of known cardiometabolic loci. In conclusion, we identified two novel loci and replicated known variants associated with insulin sensitivity. Further studies are needed to clarify the causal variant and function at the BCL2 and FAM19A2 loci.
- Published
- 2016
37. Trans-ethnic Fine Mapping Highlights Kidney-Function Genes Linked to Salt Sensitivity
- Author
-
Mahajan, Anubha, Rodan, Aylin R, Le, Thu H, Gaulton, Kyle J, Haessler, Jeffrey, Stilp, Adrienne M, Kamatani, Yoichiro, Zhu, Gu, Sofer, Tamar, Puri, Sanjana, Schellinger, Jeffrey N, Chu, Pei-Lun, Cechova, Sylvia, van Zuydam, Natalie, Consortium, the SUMMIT, Project, the BioBank Japan, Arnlov, Johan, Flessner, Michael F, Giedraitis, Vilmantas, Heath, Andrew C, Kubo, Michiaki, Larsson, Anders, Lindgren, Cecilia M, Madden, Pamela AF, Montgomery, Grant W, Papanicolaou, George J, Reiner, Alex P, Sundström, Johan, Thornton, Timothy A, Lind, Lars, Ingelsson, Erik, Cai, Jianwen, Martin, Nicholas G, Kooperberg, Charles, Matsuda, Koichi, Whitfield, John B, Okada, Yukinori, Laurie, Cathy C, Morris, Andrew P, and Franceschini, Nora
- Subjects
Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Kidney Disease ,Biotechnology ,Human Genome ,1.1 Normal biological development and functioning ,Underpinning research ,Generic health relevance ,Renal and urogenital ,Alleles ,Animals ,Deoxyribonuclease I ,Diabetes Mellitus ,Disease Models ,Animal ,Drosophila melanogaster ,Ethnicity ,Female ,Genome-Wide Association Study ,Glomerular Filtration Rate ,Humans ,Kidney ,Linkage Disequilibrium ,Male ,NFATC Transcription Factors ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,RGS Proteins ,Racial Groups ,Renal Insufficiency ,Chronic ,Salt Tolerance ,Sodium Chloride ,Sodium-Phosphate Cotransporter Proteins ,Type IIa ,Stress ,Physiological ,SUMMIT Consortium ,BioBank Japan Project ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
We analyzed genome-wide association studies (GWASs), including data from 71,638 individuals from four ancestries, for estimated glomerular filtration rate (eGFR), a measure of kidney function used to define chronic kidney disease (CKD). We identified 20 loci attaining genome-wide-significant evidence of association (p < 5 × 10(-8)) with kidney function and highlighted that allelic effects on eGFR at lead SNPs are homogeneous across ancestries. We leveraged differences in the pattern of linkage disequilibrium between diverse populations to fine-map the 20 loci through construction of "credible sets" of variants driving eGFR association signals. Credible variants at the 20 eGFR loci were enriched for DNase I hypersensitivity sites (DHSs) in human kidney cells. DHS credible variants were expression quantitative trait loci for NFATC1 and RGS14 (at the SLC34A1 locus) in multiple tissues. Loss-of-function mutations in ancestral orthologs of both genes in Drosophila melanogaster were associated with altered sensitivity to salt stress. Renal mRNA expression of Nfatc1 and Rgs14 in a salt-sensitive mouse model was also reduced after exposure to a high-salt diet or induced CKD. Our study (1) demonstrates the utility of trans-ethnic fine mapping through integration of GWASs involving diverse populations with genomic annotation from relevant tissues to define molecular mechanisms by which association signals exert their effect and (2) suggests that salt sensitivity might be an important marker for biological processes that affect kidney function and CKD in humans.
- Published
- 2016
38. Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene.
- Author
-
Knowles, Joshua W, Xie, Weijia, Zhang, Zhongyang, Chennamsetty, Indumathi, Assimes, Themistocles L, Paananen, Jussi, Hansson, Ola, Pankow, James, Goodarzi, Mark O, Carcamo-Orive, Ivan, Morris, Andrew P, Chen, Yii-Der I, Mäkinen, Ville-Petteri, Ganna, Andrea, Mahajan, Anubha, Guo, Xiuqing, Abbasi, Fahim, Greenawalt, Danielle M, Lum, Pek, Molony, Cliona, Lind, Lars, Lindgren, Cecilia, Raffel, Leslie J, Tsao, Philip S, RISC (Relationship between Insulin Sensitivity and Cardiovascular Disease) Consortium, EUGENE (European Network on Functional Genomics of Type Diabetes) Study, GUARDIAN (Genetics UndeRlying DIAbetes in HispaNics) Consortium, SAPPHIRe (Stanford Asian and Pacific Program for Hypertension and Insulin Resistance) Study, Schadt, Eric E, Rotter, Jerome I, Sinaiko, Alan, Reaven, Gerald, Yang, Xia, Hsiung, Chao A, Groop, Leif, Cordell, Heather J, Laakso, Markku, Hao, Ke, Ingelsson, Erik, Frayling, Timothy M, Weedon, Michael N, Walker, Mark, and Quertermous, Thomas
- Subjects
RISC (Relationship between Insulin Sensitivity and Cardiovascular Disease) Consortium ,EUGENE (European Network on Functional Genomics of Type Diabetes) Study ,GUARDIAN (Genetics UndeRlying DIAbetes in HispaNics) Consortium ,SAPPHIRe (Stanford Asian and Pacific Program for Hypertension and Insulin Resistance) Study ,Immunology ,Medical and Health Sciences - Published
- 2016
39. Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability
- Author
-
Lagou, Vasiliki, Mägi, Reedik, Hottenga, Jouke- Jan, Grallert, Harald, Perry, John R. B., Bouatia-Naji, Nabila, Marullo, Letizia, Rybin, Denis, Jansen, Rick, Min, Josine L., Dimas, Antigone S., Ulrich, Anna, Zudina, Liudmila, Gådin, Jesper R., Jiang, Longda, Faggian, Alessia, Bonnefond, Amélie, Fadista, Joao, Stathopoulou, Maria G., Isaacs, Aaron, Willems, Sara M., Navarro, Pau, Tanaka, Toshiko, Jackson, Anne U., Montasser, May E., O’Connell, Jeff R., Bielak, Lawrence F., Webster, Rebecca J., Saxena, Richa, Stafford, Jeanette M., Pourcain, Beate St, Timpson, Nicholas J., Salo, Perttu, Shin, So-Youn, Amin, Najaf, Smith, Albert V., Li, Guo, Verweij, Niek, Goel, Anuj, Ford, Ian, Johnson, Paul C. D., Johnson, Toby, Kapur, Karen, Thorleifsson, Gudmar, Strawbridge, Rona J., Rasmussen-Torvik, Laura J., Esko, Tõnu, Mihailov, Evelin, Fall, Tove, Fraser, Ross M., Mahajan, Anubha, Kanoni, Stavroula, Giedraitis, Vilmantas, Kleber, Marcus E., Silbernagel, Günther, Meyer, Julia, Müller-Nurasyid, Martina, Ganna, Andrea, Sarin, Antti-Pekka, Yengo, Loic, Shungin, Dmitry, Luan, Jian’an, Horikoshi, Momoko, An, Ping, Sanna, Serena, Boettcher, Yvonne, Rayner, N. William, Nolte, Ilja M., Zemunik, Tatijana, Iperen, Erik van, Kovacs, Peter, Hastie, Nicholas D., Wild, Sarah H., McLachlan, Stela, Campbell, Susan, Polasek, Ozren, Carlson, Olga, Egan, Josephine, Kiess, Wieland, Willemsen, Gonneke, Kuusisto, Johanna, Laakso, Markku, Dimitriou, Maria, Hicks, Andrew A., Rauramaa, Rainer, Bandinelli, Stefania, Thorand, Barbara, Liu, Yongmei, Miljkovic, Iva, Lind, Lars, Doney, Alex, Perola, Markus, Hingorani, Aroon, Kivimaki, Mika, Kumari, Meena, Bennett, Amanda J., Groves, Christopher J., Herder, Christian, Koistinen, Heikki A., Kinnunen, Leena, Faire, Ulf de, Bakker, Stephan J. L., Uusitupa, Matti, Palmer, Colin N. A., Jukema, J. Wouter, Sattar, Naveed, Pouta, Anneli, Snieder, Harold, Boerwinkle, Eric, Pankow, James S., Magnusson, Patrik K., Krus, Ulrika, Scapoli, Chiara, de Geus, Eco J. C. N., Blüher, Matthias, Wolffenbuttel, Bruce H. R., Province, Michael A., Abecasis, Goncalo R., Meigs, James B., Hovingh, G. Kees, Lindström, Jaana, Wilson, James F., Wright, Alan F., Dedoussis, George V., Bornstein, Stefan R., Schwarz, Peter E. H., Tönjes, Anke, Winkelmann, Bernhard R., Boehm, Bernhard O., März, Winfried, Metspalu, Andres, Price, Jackie F., Deloukas, Panos, Körner, Antje, Lakka, Timo A., Keinanen-Kiukaanniemi, Sirkka M., Saaristo, Timo E., Bergman, Richard N., Tuomilehto, Jaakko, Wareham, Nicholas J., Langenberg, Claudia, Männistö, Satu, Franks, Paul W., Hayward, Caroline, Vitart, Veronique, Kaprio, Jaakko, Visvikis-Siest, Sophie, Balkau, Beverley, Altshuler, David, Rudan, Igor, Stumvoll, Michael, Campbell, Harry, van Duijn, Cornelia M., Gieger, Christian, Illig, Thomas, Ferrucci, Luigi, Pedersen, Nancy L., Pramstaller, Peter P., Boehnke, Michael, Frayling, Timothy M., Shuldiner, Alan R., Peyser, Patricia A., Kardia, Sharon L. R., Palmer, Lyle J., Penninx, Brenda W., Meneton, Pierre, Harris, Tamara B., Navis, Gerjan, Harst, Pim van der, Smith, George Davey, Forouhi, Nita G., Loos, Ruth J. F., Salomaa, Veikko, Soranzo, Nicole, Boomsma, Dorret I., Groop, Leif, Tuomi, Tiinamaija, Hofman, Albert, Munroe, Patricia B., Gudnason, Vilmundur, Siscovick, David S., Watkins, Hugh, Lecoeur, Cecile, Vollenweider, Peter, Franco-Cereceda, Anders, Eriksson, Per, Jarvelin, Marjo-Riitta, Stefansson, Kari, Hamsten, Anders, Nicholson, George, Karpe, Fredrik, Dermitzakis, Emmanouil T., Lindgren, Cecilia M., McCarthy, Mark I., Froguel, Philippe, Kaakinen, Marika A., Lyssenko, Valeriya, Watanabe, Richard M., Ingelsson, Erik, Florez, Jose C., Dupuis, Josée, Barroso, Inês, Morris, Andrew P., and Prokopenko, Inga
- Published
- 2021
- Full Text
- View/download PDF
40. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals
- Author
-
Folkersen, Lasse, Gustafsson, Stefan, Wang, Qin, Hansen, Daniel Hvidberg, Hedman, Åsa K., Schork, Andrew, Page, Karen, Zhernakova, Daria V., Wu, Yang, Peters, James, Eriksson, Niclas, Bergen, Sarah E., Boutin, Thibaud S., Bretherick, Andrew D., Enroth, Stefan, Kalnapenkis, Anette, Gådin, Jesper R., Suur, Bianca E., Chen, Yan, Matic, Ljubica, Gale, Jeremy D., Lee, Julie, Zhang, Weidong, Quazi, Amira, Ala-Korpela, Mika, Choi, Seung Hoan, Claringbould, Annique, Danesh, John, Davey Smith, George, de Masi, Federico, Elmståhl, Sölve, Engström, Gunnar, Fauman, Eric, Fernandez, Celine, Franke, Lude, Franks, Paul W., Giedraitis, Vilmantas, Haley, Chris, Hamsten, Anders, Ingason, Andres, Johansson, Åsa, Joshi, Peter K., Lind, Lars, Lindgren, Cecilia M., Lubitz, Steven, Palmer, Tom, Macdonald-Dunlop, Erin, Magnusson, Martin, Melander, Olle, Michaelsson, Karl, Morris, Andrew P., Mägi, Reedik, Nagle, Michael W., Nilsson, Peter M., Nilsson, Jan, Orho-Melander, Marju, Polasek, Ozren, Prins, Bram, Pålsson, Erik, Qi, Ting, Sjögren, Marketa, Sundström, Johan, Surendran, Praveen, Võsa, Urmo, Werge, Thomas, Wernersson, Rasmus, Westra, Harm-Jan, Yang, Jian, Zhernakova, Alexandra, Ärnlöv, Johan, Fu, Jingyuan, Smith, J. Gustav, Esko, Tõnu, Hayward, Caroline, Gyllensten, Ulf, Landen, Mikael, Siegbahn, Agneta, Wilson, James F., Wallentin, Lars, Butterworth, Adam S., Holmes, Michael V., Ingelsson, Erik, and Mälarstig, Anders
- Published
- 2020
- Full Text
- View/download PDF
41. Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation.
- Author
-
Horikoshi, Momoko, Mӓgi, Reedik, van de Bunt, Martijn, Surakka, Ida, Sarin, Antti-Pekka, Mahajan, Anubha, Marullo, Letizia, Thorleifsson, Gudmar, Hӓgg, Sara, Hottenga, Jouke-Jan, Ladenvall, Claes, Ried, Janina S, Winkler, Thomas W, Willems, Sara M, Pervjakova, Natalia, Esko, Tõnu, Beekman, Marian, Nelson, Christopher P, Willenborg, Christina, Wiltshire, Steven, Ferreira, Teresa, Fernandez, Juan, Gaulton, Kyle J, Steinthorsdottir, Valgerdur, Hamsten, Anders, Magnusson, Patrik KE, Willemsen, Gonneke, Milaneschi, Yuri, Robertson, Neil R, Groves, Christopher J, Bennett, Amanda J, Lehtimӓki, Terho, Viikari, Jorma S, Rung, Johan, Lyssenko, Valeriya, Perola, Markus, Heid, Iris M, Herder, Christian, Grallert, Harald, Müller-Nurasyid, Martina, Roden, Michael, Hypponen, Elina, Isaacs, Aaron, van Leeuwen, Elisabeth M, Karssen, Lennart C, Mihailov, Evelin, Houwing-Duistermaat, Jeanine J, de Craen, Anton JM, Deelen, Joris, Havulinna, Aki S, Blades, Matthew, Hengstenberg, Christian, Erdmann, Jeanette, Schunkert, Heribert, Kaprio, Jaakko, Tobin, Martin D, Samani, Nilesh J, Lind, Lars, Salomaa, Veikko, Lindgren, Cecilia M, Slagboom, P Eline, Metspalu, Andres, van Duijn, Cornelia M, Eriksson, Johan G, Peters, Annette, Gieger, Christian, Jula, Antti, Groop, Leif, Raitakari, Olli T, Power, Chris, Penninx, Brenda WJH, de Geus, Eco, Smit, Johannes H, Boomsma, Dorret I, Pedersen, Nancy L, Ingelsson, Erik, Thorsteinsdottir, Unnur, Stefansson, Kari, Ripatti, Samuli, Prokopenko, Inga, McCarthy, Mark I, Morris, Andrew P, and ENGAGE Consortium
- Subjects
ENGAGE Consortium ,Humans ,Obesity ,Genetic Predisposition to Disease ,Glucose-6-Phosphatase ,Protein-Serine-Threonine Kinases ,Thrombospondins ,Body Mass Index ,Chromosome Mapping ,Glycemic Index ,Gene Frequency ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Genome-Wide Association Study ,Germinal Center Kinases ,Polymorphism ,Single Nucleotide ,Genetics ,Developmental Biology - Abstract
Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete coverage of common and low-frequency genetic variation with minor allele frequency ≥0.5% across European ancestry populations. Within the European Network for Genetic and Genomic Epidemiology (ENGAGE) Consortium, we have undertaken the first large-scale meta-analysis of genome-wide association studies (GWAS), supplemented by 1000G imputation, for four quantitative glycaemic and obesity-related traits, in up to 87,048 individuals of European ancestry. We identified two loci for body mass index (BMI) at genome-wide significance, and two for fasting glucose (FG), none of which has been previously reported in larger meta-analysis efforts to combine GWAS of European ancestry. Through conditional analysis, we also detected multiple distinct signals of association mapping to established loci for waist-hip ratio adjusted for BMI (RSPO3) and FG (GCK and G6PC2). The index variant for one association signal at the G6PC2 locus is a low-frequency coding allele, H177Y, which has recently been demonstrated to have a functional role in glucose regulation. Fine-mapping analyses revealed that the non-coding variants most likely to drive association signals at established and novel loci were enriched for overlap with enhancer elements, which for FG mapped to promoter and transcription factor binding sites in pancreatic islets, in particular. Our study demonstrates that 1000G imputation and genetic fine-mapping of common and low-frequency variant association signals at GWAS loci, integrated with genomic annotation in relevant tissues, can provide insight into the functional and regulatory mechanisms through which their effects on glycaemic and obesity-related traits are mediated.
- Published
- 2015
42. Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene
- Author
-
Knowles, Joshua W, Xie, Weijia, Zhang, Zhongyang, Chennemsetty, Indumathi, Assimes, Themistocles L, Paananen, Jussi, Hansson, Ola, Pankow, James, Goodarzi, Mark O, Carcamo-Orive, Ivan, Morris, Andrew P, Chen, Yii-Der I, Maekinen, Ville-Petteri, Ganna, Andrea, Mahajan, Anubha, Guo, Xiuqing, Abbasi, Fahim, Greenawalt, Danielle M, Lum, Pek, Molony, Cliona, Lind, Lars, Lindgren, Cecilia, Raffel, Leslie J, Tsao, Philip S, Schadt, Eric E, Rotter, Jerome I, Sinaiko, Alan, Reaven, Gerald, Yang, Xia, Hsiung, Chao A, Groop, Leif, Cordell, Heather J, Laakso, Markku, Hao, Ke, Ingelsson, Erik, Frayling, Timothy M, Weedon, Michael N, Walker, Mark, Quertermous, Thomas, Insulin, RISC Relationship, Functional, EUGENE European Network, UndeRlying, GUARDIAN Genetics, and Pacific, SAPPHIRE Stanford Asian
- Subjects
Immunology ,Medical and Health Sciences - Published
- 2015
43. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.
- Author
-
Wessel, Jennifer, Chu, Audrey Y, Willems, Sara M, Wang, Shuai, Yaghootkar, Hanieh, Brody, Jennifer A, Dauriz, Marco, Hivert, Marie-France, Raghavan, Sridharan, Lipovich, Leonard, Hidalgo, Bertha, Fox, Keolu, Huffman, Jennifer E, An, Ping, Lu, Yingchang, Rasmussen-Torvik, Laura J, Grarup, Niels, Ehm, Margaret G, Li, Li, Baldridge, Abigail S, Stančáková, Alena, Abrol, Ravinder, Besse, Céline, Boland, Anne, Bork-Jensen, Jette, Fornage, Myriam, Freitag, Daniel F, Garcia, Melissa E, Guo, Xiuqing, Hara, Kazuo, Isaacs, Aaron, Jakobsdottir, Johanna, Lange, Leslie A, Layton, Jill C, Li, Man, Hua Zhao, Jing, Meidtner, Karina, Morrison, Alanna C, Nalls, Mike A, Peters, Marjolein J, Sabater-Lleal, Maria, Schurmann, Claudia, Silveira, Angela, Smith, Albert V, Southam, Lorraine, Stoiber, Marcus H, Strawbridge, Rona J, Taylor, Kent D, Varga, Tibor V, Allin, Kristine H, Amin, Najaf, Aponte, Jennifer L, Aung, Tin, Barbieri, Caterina, Bihlmeyer, Nathan A, Boehnke, Michael, Bombieri, Cristina, Bowden, Donald W, Burns, Sean M, Chen, Yuning, Chen, Yii-DerI, Cheng, Ching-Yu, Correa, Adolfo, Czajkowski, Jacek, Dehghan, Abbas, Ehret, Georg B, Eiriksdottir, Gudny, Escher, Stefan A, Farmaki, Aliki-Eleni, Frånberg, Mattias, Gambaro, Giovanni, Giulianini, Franco, Goddard, William A, Goel, Anuj, Gottesman, Omri, Grove, Megan L, Gustafsson, Stefan, Hai, Yang, Hallmans, Göran, Heo, Jiyoung, Hoffmann, Per, Ikram, Mohammad K, Jensen, Richard A, Jørgensen, Marit E, Jørgensen, Torben, Karaleftheri, Maria, Khor, Chiea C, Kirkpatrick, Andrea, Kraja, Aldi T, Kuusisto, Johanna, Lange, Ethan M, Lee, IT, Lee, Wen-Jane, Leong, Aaron, Liao, Jiemin, Liu, Chunyu, Liu, Yongmei, Lindgren, Cecilia M, Linneberg, Allan, and Malerba, Giovanni
- Subjects
EPIC-InterAct Consortium ,Humans ,Diabetes Mellitus ,Type 2 ,Genetic Predisposition to Disease ,Insulin ,Glucose-6-Phosphatase ,Blood Glucose ,Oligonucleotide Array Sequence Analysis ,Fasting ,Polymorphism ,Single Nucleotide ,African Continental Ancestry Group ,European Continental Ancestry Group ,Genetic Variation ,Genetic Loci ,Genetic Association Studies ,Mutation Rate ,Exome ,Glucagon-Like Peptide-1 Receptor ,Diabetes Mellitus ,Type 2 ,Polymorphism ,Single Nucleotide ,Diabetes ,Genetics ,Nutrition ,Clinical Research ,Prevention ,Human Genome ,2.1 Biological and endogenous factors ,Metabolic and Endocrine - Abstract
Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
- Published
- 2015
44. Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.
- Author
-
Mahajan, Anubha, Sim, Xueling, Ng, Hui Jin, Manning, Alisa, Rivas, Manuel A, Highland, Heather M, Locke, Adam E, Grarup, Niels, Im, Hae Kyung, Cingolani, Pablo, Flannick, Jason, Fontanillas, Pierre, Fuchsberger, Christian, Gaulton, Kyle J, Teslovich, Tanya M, Rayner, N William, Robertson, Neil R, Beer, Nicola L, Rundle, Jana K, Bork-Jensen, Jette, Ladenvall, Claes, Blancher, Christine, Buck, David, Buck, Gemma, Burtt, Noël P, Gabriel, Stacey, Gjesing, Anette P, Groves, Christopher J, Hollensted, Mette, Huyghe, Jeroen R, Jackson, Anne U, Jun, Goo, Justesen, Johanne Marie, Mangino, Massimo, Murphy, Jacquelyn, Neville, Matt, Onofrio, Robert, Small, Kerrin S, Stringham, Heather M, Syvänen, Ann-Christine, Trakalo, Joseph, Abecasis, Goncalo, Bell, Graeme I, Blangero, John, Cox, Nancy J, Duggirala, Ravindranath, Hanis, Craig L, Seielstad, Mark, Wilson, James G, Christensen, Cramer, Brandslund, Ivan, Rauramaa, Rainer, Surdulescu, Gabriela L, Doney, Alex SF, Lannfelt, Lars, Linneberg, Allan, Isomaa, Bo, Tuomi, Tiinamaija, Jørgensen, Marit E, Jørgensen, Torben, Kuusisto, Johanna, Uusitupa, Matti, Salomaa, Veikko, Spector, Timothy D, Morris, Andrew D, Palmer, Colin NA, Collins, Francis S, Mohlke, Karen L, Bergman, Richard N, Ingelsson, Erik, Lind, Lars, Tuomilehto, Jaakko, Hansen, Torben, Watanabe, Richard M, Prokopenko, Inga, Dupuis, Josee, Karpe, Fredrik, Groop, Leif, Laakso, Markku, Pedersen, Oluf, Florez, Jose C, Morris, Andrew P, Altshuler, David, Meigs, James B, Boehnke, Michael, McCarthy, Mark I, Lindgren, Cecilia M, Gloyn, Anna L, and T2D-GENES consortium and GoT2D consortium
- Subjects
T2D-GENES consortium and GoT2D consortium ,Humans ,Diabetes Mellitus ,Type 2 ,Insulin ,Glucose-6-Phosphatase ,Blood Glucose ,Receptors ,Glucagon ,Glycemic Index ,Gene Frequency ,Polymorphism ,Single Nucleotide ,Genome-Wide Association Study ,Exome ,Glucagon-Like Peptide-1 Receptor ,Diabetes Mellitus ,Type 2 ,Receptors ,Glucagon ,Polymorphism ,Single Nucleotide ,Genetics ,Developmental Biology - Abstract
Genome wide association studies (GWAS) for fasting glucose (FG) and insulin (FI) have identified common variant signals which explain 4.8% and 1.2% of trait variance, respectively. It is hypothesized that low-frequency and rare variants could contribute substantially to unexplained genetic variance. To test this, we analyzed exome-array data from up to 33,231 non-diabetic individuals of European ancestry. We found exome-wide significant (P
- Published
- 2015
45. Mouse-Human Experimental Epigenetic Analysis Unmasks Dietary Targets and Genetic Liability for Diabetic Phenotypes
- Author
-
Multhaup, Michael L, Seldin, Marcus M, Jaffe, Andrew E, Lei, Xia, Kirchner, Henriette, Mondal, Prosenjit, Li, Yuanyuan, Rodriguez, Varenka, Drong, Alexander, Hussain, Mehboob, Lindgren, Cecilia, McCarthy, Mark, Näslund, Erik, Zierath, Juleen R, Wong, G William, and Feinberg, Andrew P
- Subjects
Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Obesity ,Prevention ,Human Genome ,Nutrition ,Clinical Research ,Diabetes ,Biotechnology ,Aetiology ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Adipocytes ,Animals ,Cells ,Cultured ,DNA Methylation ,Diabetes Mellitus ,Type 2 ,Diet ,High-Fat ,Epigenesis ,Genetic ,Gene Expression Regulation ,Genetic Loci ,Genome-Wide Association Study ,Glucose Tolerance Test ,Humans ,Male ,Mice ,Mice ,Inbred C57BL ,Polymorphism ,Single Nucleotide ,RNA ,Small Interfering ,Transcription Factor 7-Like 2 Protein ,Biochemistry and Cell Biology ,Medical Biochemistry and Metabolomics ,Endocrinology & Metabolism ,Biochemistry and cell biology ,Medical biochemistry and metabolomics - Abstract
Using a functional approach to investigate the epigenetics of type 2 diabetes (T2D), we combine three lines of evidence-diet-induced epigenetic dysregulation in mouse, epigenetic conservation in humans, and T2D clinical risk evidence-to identify genes implicated in T2D pathogenesis through epigenetic mechanisms related to obesity. Beginning with dietary manipulation of genetically homogeneous mice, we identify differentially DNA-methylated genomic regions. We then replicate these results in adipose samples from lean and obese patients pre- and post-Roux-en-Y gastric bypass, identifying regions where both the location and direction of methylation change are conserved. These regions overlap with 27 genetic T2D risk loci, only one of which was deemed significant by GWAS alone. Functional analysis of genes associated with these regions revealed four genes with roles in insulin resistance, demonstrating the potential general utility of this approach for complementing conventional human genetic studies by integrating cross-species epigenomics and clinical genetic risk.
- Published
- 2015
46. Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetes
- Author
-
Majithia, Amit R, Flannick, Jason, Shahinian, Peter, Guo, Michael, Bray, Mark-Anthony, Fontanillas, Pierre, Gabriel, Stacey B, Rosen, Evan D, Altshuler, David, Manning, Alisa K, Hartl, Christopher, Agarwala, Vineeta, Green, Todd, Banks, Eric, DePristo, Mark, Poplin, Ryan, Shakir, Khalid, Fennell, Timothy, Njølstad, Pål R, Burtt, Noël, Gabriel, Stacey, Fuchsberger, Christian, Kang, Hun Min, Sim, Xueling, Ma, Clement, Locke, Adam, Blackwell, Thomas, Jackson, Anne, Teslovich, Tanya M, Stringham, Heather, Chines, Peter, Kwan, Phoenix, Huyghe, Jeroen, Tan, Adrian, Jun, Goo, Stitzel, Michael, Bergman, Richard N, Bonnycastle, Lori, Tuomilehto, Jaakko, Collins, Francis S, Scott, Laura, Mohlke, Karen, Abecasis, Gonçalo, Boehnke, Michael, Strom, Tim, Gieger, Christian, Nurasyid, Martina Müller, Grallert, Harald, Kriebel, Jennifer, Ried, Janina, de Angelis, Martin Hrabé, Huth, Cornelia, Meisinger, Christa, Peters, Annette, Rathmann, Wolfgang, Strauch, Konstantin, Meitinger, Thomas, Kravic, Jasmina, Algren, Peter, Ladenvall, Claes, Toumi, Tiinamaija, Isomaa, Bo, Groop, Leif, Gaulton, Kyle, Moutsianas, Loukas, Rivas, Manny, Pearson, Richard, Mahajan, Anubha, Prokopenko, Inga, Kumar, Ashish, Perry, John, Howie, Bryan, van de Bunt, Martijn, Small, Kerrin, Lindgren, Cecilia, Lunter, Gerton, Robertson, Neil, Rayner, William, Morris, Andrew, Buck, David, Hattersley, Andrew, Spector, Tim, McVean, Gil, Frayling, Tim, Donnelly, Peter, McCarthy, Mark, Gupta, Namrata, Taylor, Herman, Fox, Ervin, Cheh, Christopher Newton, Wilson, James G, O'Donnell, Christopher J, Kathiresan, Sekar, Hirschhorn, Joel, Seidman, JG, and Seidman, Christine
- Subjects
Genetics ,Biotechnology ,Human Genome ,Diabetes ,Aetiology ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Adipocytes ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Cell Differentiation ,Diabetes Mellitus ,Type 2 ,Ethnicity ,Female ,Genetic Predisposition to Disease ,Humans ,Male ,Middle Aged ,PPAR gamma ,Polymorphism ,Single Nucleotide ,Risk Factors ,Sequence Analysis ,DNA ,GoT2D Consortium ,NHGRI JHS/FHS Allelic Spectrum Project ,SIGMA T2D Consortium ,T2D-GENES Consortium - Abstract
Peroxisome proliferator-activated receptor gamma (PPARG) is a master transcriptional regulator of adipocyte differentiation and a canonical target of antidiabetic thiazolidinedione medications. In rare families, loss-of-function (LOF) mutations in PPARG are known to cosegregate with lipodystrophy and insulin resistance; in the general population, the common P12A variant is associated with a decreased risk of type 2 diabetes (T2D). Whether and how rare variants in PPARG and defects in adipocyte differentiation influence risk of T2D in the general population remains undetermined. By sequencing PPARG in 19,752 T2D cases and controls drawn from multiple studies and ethnic groups, we identified 49 previously unidentified, nonsynonymous PPARG variants (MAF < 0.5%). Considered in aggregate (with or without computational prediction of functional consequence), these rare variants showed no association with T2D (OR = 1.35; P = 0.17). The function of the 49 variants was experimentally tested in a novel high-throughput human adipocyte differentiation assay, and nine were found to have reduced activity in the assay. Carrying any of these nine LOF variants was associated with a substantial increase in risk of T2D (OR = 7.22; P = 0.005). The combination of large-scale DNA sequencing and functional testing in the laboratory reveals that approximately 1 in 1,000 individuals carries a variant in PPARG that reduces function in a human adipocyte differentiation assay and is associated with a substantial risk of T2D.
- Published
- 2014
47. Distribution and medical impact of loss-of-function variants in the Finnish founder population.
- Author
-
Lim, Elaine T, Würtz, Peter, Havulinna, Aki S, Palta, Priit, Tukiainen, Taru, Rehnström, Karola, Esko, Tõnu, Mägi, Reedik, Inouye, Michael, Lappalainen, Tuuli, Chan, Yingleong, Salem, Rany M, Lek, Monkol, Flannick, Jason, Sim, Xueling, Manning, Alisa, Ladenvall, Claes, Bumpstead, Suzannah, Hämäläinen, Eija, Aalto, Kristiina, Maksimow, Mikael, Salmi, Marko, Blankenberg, Stefan, Ardissino, Diego, Shah, Svati, Horne, Benjamin, McPherson, Ruth, Hovingh, Gerald K, Reilly, Muredach P, Watkins, Hugh, Goel, Anuj, Farrall, Martin, Girelli, Domenico, Reiner, Alex P, Stitziel, Nathan O, Kathiresan, Sekar, Gabriel, Stacey, Barrett, Jeffrey C, Lehtimäki, Terho, Laakso, Markku, Groop, Leif, Kaprio, Jaakko, Perola, Markus, McCarthy, Mark I, Boehnke, Michael, Altshuler, David M, Lindgren, Cecilia M, Hirschhorn, Joel N, Metspalu, Andres, Freimer, Nelson B, Zeller, Tanja, Jalkanen, Sirpa, Koskinen, Seppo, Raitakari, Olli, Durbin, Richard, MacArthur, Daniel G, Salomaa, Veikko, Ripatti, Samuli, Daly, Mark J, Palotie, Aarno, and Sequencing Initiative Suomi (SISu) Project
- Subjects
Sequencing Initiative Suomi (SISu) Project ,Humans ,Genetic Diseases ,Inborn ,Genetics ,Population ,Founder Effect ,Gene Frequency ,Genetic Drift ,Phenotype ,European Continental Ancestry Group ,Finland ,Female ,Male ,Genetic Variation ,Genome-Wide Association Study ,Exome ,Genetics ,Human Genome ,2.1 Biological and endogenous factors ,Generic health relevance ,Cardiovascular ,Developmental Biology - Abstract
Exome sequencing studies in complex diseases are challenged by the allelic heterogeneity, large number and modest effect sizes of associated variants on disease risk and the presence of large numbers of neutral variants, even in phenotypically relevant genes. Isolated populations with recent bottlenecks offer advantages for studying rare variants in complex diseases as they have deleterious variants that are present at higher frequencies as well as a substantial reduction in rare neutral variation. To explore the potential of the Finnish founder population for studying low-frequency (0.5-5%) variants in complex diseases, we compared exome sequence data on 3,000 Finns to the same number of non-Finnish Europeans and discovered that, despite having fewer variable sites overall, the average Finn has more low-frequency loss-of-function variants and complete gene knockouts. We then used several well-characterized Finnish population cohorts to study the phenotypic effects of 83 enriched loss-of-function variants across 60 phenotypes in 36,262 Finns. Using a deep set of quantitative traits collected on these cohorts, we show 5 associations (p
- Published
- 2014
48. Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol
- Author
-
Lange, Leslie A, Hu, Youna, Zhang, He, Xue, Chenyi, Schmidt, Ellen M, Tang, Zheng-Zheng, Bizon, Chris, Lange, Ethan M, Smith, Joshua D, Turner, Emily H, Jun, Goo, Kang, Hyun Min, Peloso, Gina, Auer, Paul, Li, Kuo-ping, Flannick, Jason, Zhang, Ji, Fuchsberger, Christian, Gaulton, Kyle, Lindgren, Cecilia, Locke, Adam, Manning, Alisa, Sim, Xueling, Rivas, Manuel A, Holmen, Oddgeir L, Gottesman, Omri, Lu, Yingchang, Ruderfer, Douglas, Stahl, Eli A, Duan, Qing, Li, Yun, Durda, Peter, Jiao, Shuo, Isaacs, Aaron, Hofman, Albert, Bis, Joshua C, Correa, Adolfo, Griswold, Michael E, Jakobsdottir, Johanna, Smith, Albert V, Schreiner, Pamela J, Feitosa, Mary F, Zhang, Qunyuan, Huffman, Jennifer E, Crosby, Jacy, Wassel, Christina L, Do, Ron, Franceschini, Nora, Martin, Lisa W, Robinson, Jennifer G, Assimes, Themistocles L, Crosslin, David R, Rosenthal, Elisabeth A, Tsai, Michael, Rieder, Mark J, Farlow, Deborah N, Folsom, Aaron R, Lumley, Thomas, Fox, Ervin R, Carlson, Christopher S, Peters, Ulrike, Jackson, Rebecca D, van Duijn, Cornelia M, Uitterlinden, André G, Levy, Daniel, Rotter, Jerome I, Taylor, Herman A, Gudnason, Vilmundur, Siscovick, David S, Fornage, Myriam, Borecki, Ingrid B, Hayward, Caroline, Rudan, Igor, Chen, Y Eugene, Bottinger, Erwin P, Loos, Ruth JF, Sætrom, Pål, Hveem, Kristian, Boehnke, Michael, Groop, Leif, McCarthy, Mark, Meitinger, Thomas, Ballantyne, Christie M, Gabriel, Stacey B, O’Donnell, Christopher J, Post, Wendy S, North, Kari E, Reiner, Alexander P, Boerwinkle, Eric, Psaty, Bruce M, Altshuler, David, Kathiresan, Sekar, Lin, Dan-Yu, Jarvik, Gail P, Cupples, L Adrienne, Kooperberg, Charles, Wilson, James G, Nickerson, Deborah A, Abecasis, Goncalo R, and Rich, Stephen S
- Subjects
Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Human Genome ,Prevention ,Clinical Research ,Heart Disease ,Cardiovascular ,Atherosclerosis ,Aetiology ,2.1 Biological and endogenous factors ,Adult ,Aged ,Apolipoproteins E ,Cholesterol ,LDL ,Cohort Studies ,Dyslipidemias ,Exome ,Female ,Follow-Up Studies ,Gene Frequency ,Genetic Code ,Genome-Wide Association Study ,Genotype ,Humans ,Lipase ,Male ,Middle Aged ,Phenotype ,Polymorphism ,Single Nucleotide ,Proprotein Convertase 9 ,Proprotein Convertases ,Receptors ,LDL ,Sequence Analysis ,DNA ,Serine Endopeptidases ,NHLBI Grand Opportunity Exome Sequencing Project ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or
- Published
- 2014
49. Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function
- Author
-
Tang, Wenbo, Kowgier, Matthew, Loth, Daan W, Soler Artigas, María, Joubert, Bonnie R, Hodge, Emily, Gharib, Sina A, Smith, Albert V, Ruczinski, Ingo, Gudnason, Vilmundur, Mathias, Rasika A, Harris, Tamara B, Hansel, Nadia N, Launer, Lenore J, Barnes, Kathleen C, Hansen, Joyanna G, Albrecht, Eva, Aldrich, Melinda C, Allerhand, Michael, Barr, R Graham, Brusselle, Guy G, Couper, David J, Curjuric, Ivan, Davies, Gail, Deary, Ian J, Dupuis, Josée, Fall, Tove, Foy, Millennia, Franceschini, Nora, Gao, Wei, Gläser, Sven, Gu, Xiangjun, Hancock, Dana B, Heinrich, Joachim, Hofman, Albert, Imboden, Medea, Ingelsson, Erik, James, Alan, Karrasch, Stefan, Koch, Beate, Kritchevsky, Stephen B, Kumar, Ashish, Lahousse, Lies, Li, Guo, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Lohman, Kurt, Lumley, Thomas, McArdle, Wendy L, Meibohm, Bernd, Morris, Andrew P, Morrison, Alanna C, Musk, Bill, North, Kari E, Palmer, Lyle J, Probst-Hensch, Nicole M, Psaty, Bruce M, Rivadeneira, Fernando, Rotter, Jerome I, Schulz, Holger, Smith, Lewis J, Sood, Akshay, Starr, John M, Strachan, David P, Teumer, Alexander, Uitterlinden, André G, Völzke, Henry, Voorman, Arend, Wain, Louise V, Wells, Martin T, Wilk, Jemma B, Williams, O Dale, Heckbert, Susan R, Stricker, Bruno H, London, Stephanie J, Fornage, Myriam, Tobin, Martin D, O'Connor, George T, Hall, Ian P, and Cassano, Patricia A
- Subjects
Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Chronic Obstructive Pulmonary Disease ,Human Genome ,Lung ,Clinical Research ,Prevention ,Respiratory ,Adult ,Chromosomes ,Human ,Pair 11 ,Female ,Gene Expression Regulation ,Genetic Loci ,Genome-Wide Association Study ,Humans ,Longitudinal Studies ,Male ,Respiration ,General Science & Technology - Abstract
BackgroundGenome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.MethodsWe performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.ResultsThe overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P = 5.71 × 10(-7)). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P = 2.18 × 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.ConclusionsIn this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.
- Published
- 2014
50. The miRNA profile of human pancreatic islets and beta-cells and relationship to type 2 diabetes pathogenesis.
- Author
-
van de Bunt, Martijn, Gaulton, Kyle J, Parts, Leopold, Moran, Ignasi, Johnson, Paul R, Lindgren, Cecilia M, Ferrer, Jorge, Gloyn, Anna L, and McCarthy, Mark I
- Subjects
Islets of Langerhans ,Humans ,Diabetes Mellitus ,Type 2 ,Genetic Predisposition to Disease ,MicroRNAs ,Cluster Analysis ,Gene Expression Profiling ,Organ Specificity ,Gene Expression Regulation ,Insulin-Secreting Cells ,Diabetes Mellitus ,Type 2 ,General Science & Technology - Abstract
Recent advances in the understanding of the genetics of type 2 diabetes (T2D) susceptibility have focused attention on the regulation of transcriptional activity within the pancreatic beta-cell. MicroRNAs (miRNAs) represent an important component of regulatory control, and have proven roles in the development of human disease and control of glucose homeostasis. We set out to establish the miRNA profile of human pancreatic islets and of enriched beta-cell populations, and to explore their potential involvement in T2D susceptibility. We used Illumina small RNA sequencing to profile the miRNA fraction in three preparations each of primary human islets and of enriched beta-cells generated by fluorescence-activated cell sorting. In total, 366 miRNAs were found to be expressed (i.e. >100 cumulative reads) in islets and 346 in beta-cells; of the total of 384 unique miRNAs, 328 were shared. A comparison of the islet-cell miRNA profile with those of 15 other human tissues identified 40 miRNAs predominantly expressed (i.e. >50% of all reads seen across the tissues) in islets. Several highly-expressed islet miRNAs, such as miR-375, have established roles in the regulation of islet function, but others (e.g. miR-27b-3p, miR-192-5p) have not previously been described in the context of islet biology. As a first step towards exploring the role of islet-expressed miRNAs and their predicted mRNA targets in T2D pathogenesis, we looked at published T2D association signals across these sites. We found evidence that predicted mRNA targets of islet-expressed miRNAs were globally enriched for signals of T2D association (p-values
- Published
- 2013
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.