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1. KidneyNetwork: using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease

Author

Boulogne, Floranne, Claus, Laura R., Wiersma, Henry, Oelen, Roy, Schukking, Floor, de Klein, Niek, Li, Shuang, Westra, Harm-Jan, van der Zwaag, Bert, van Reekum, Franka, Sierks, Dana, Schönauer, Ria, Li, Zhigui, Bijlsma, Emilia K., Bos, Willem Jan W., Halbritter, Jan, Knoers, Nine V. A. M., Besse, Whitney, Deelen, Patrick, Franke, Lude, and van Eerde, Albertien M.

Published
2023
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2. Misexpression of inactive genes in whole blood is associated with nearby rare structural variants

Author

Vanderstichele, Thomas, Burnham, Katie L., de Klein, Niek, Tardaguila, Manuel, Howell, Brittany, Walter, Klaudia, Kundu, Kousik, Koeppel, Jonas, Lee, Wanseon, Tokolyi, Alex, Persyn, Elodie, Nath, Artika P., Marten, Jonathan, Petrovski, Slavé, Roberts, David J., Di Angelantonio, Emanuele, Danesh, John, Berton, Alix, Platt, Adam, Butterworth, Adam S., Soranzo, Nicole, Parts, Leopold, Inouye, Michael, Paul, Dirk S., and Davenport, Emma E.

Published
2024
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3. Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases

Author

de Klein, Niek, Tsai, Ellen A., Vochteloo, Martijn, Baird, Denis, Huang, Yunfeng, Chen, Chia-Yen, van Dam, Sipko, Oelen, Roy, Deelen, Patrick, Bakker, Olivier B., El Garwany, Omar, Ouyang, Zhengyu, Marshall, Eric E., Zavodszky, Maria I., van Rheenen, Wouter, Bakker, Mark K., Veldink, Jan, Gaunt, Tom R., Runz, Heiko, Franke, Lude, and Westra, Harm-Jan

Published
2023
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4. Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Author

van Rheenen, Wouter, van der Spek, Rick A. A., Bakker, Mark K., van Vugt, Joke J. F. A., Hop, Paul J., Zwamborn, Ramona A. J., de Klein, Niek, Westra, Harm-Jan, Bakker, Olivier B., Deelen, Patrick, Shireby, Gemma, Hannon, Eilis, Moisse, Matthieu, Baird, Denis, Restuadi, Restuadi, Dolzhenko, Egor, Dekker, Annelot M., Gawor, Klara, Westeneng, Henk-Jan, Tazelaar, Gijs H. P., van Eijk, Kristel R., Kooyman, Maarten, Byrne, Ross P., Doherty, Mark, Heverin, Mark, Al Khleifat, Ahmad, Iacoangeli, Alfredo, Shatunov, Aleksey, Ticozzi, Nicola, Cooper-Knock, Johnathan, Smith, Bradley N., Gromicho, Marta, Chandran, Siddharthan, Pal, Suvankar, Morrison, Karen E., Shaw, Pamela J., Hardy, John, Orrell, Richard W., Sendtner, Michael, Meyer, Thomas, Başak, Nazli, van der Kooi, Anneke J., Ratti, Antonia, Fogh, Isabella, Gellera, Cinzia, Lauria, Giuseppe, Corti, Stefania, Cereda, Cristina, Sproviero, Daisy, D’Alfonso, Sandra, Sorarù, Gianni, Siciliano, Gabriele, Filosto, Massimiliano, Padovani, Alessandro, Chiò, Adriano, Calvo, Andrea, Moglia, Cristina, Brunetti, Maura, Canosa, Antonio, Grassano, Maurizio, Beghi, Ettore, Pupillo, Elisabetta, Logroscino, Giancarlo, Nefussy, Beatrice, Osmanovic, Alma, Nordin, Angelica, Lerner, Yossef, Zabari, Michal, Gotkine, Marc, Baloh, Robert H., Bell, Shaughn, Vourc’h, Patrick, Corcia, Philippe, Couratier, Philippe, Millecamps, Stéphanie, Meininger, Vincent, Salachas, François, Mora Pardina, Jesus S., Assialioui, Abdelilah, Rojas-García, Ricardo, Dion, Patrick A., Ross, Jay P., Ludolph, Albert C., Weishaupt, Jochen H., Brenner, David, Freischmidt, Axel, Bensimon, Gilbert, Brice, Alexis, Durr, Alexandra, Payan, Christine A. M., Saker-Delye, Safa, Wood, Nicholas W., Topp, Simon, Rademakers, Rosa, Tittmann, Lukas, Lieb, Wolfgang, Franke, Andre, Ripke, Stephan, Braun, Alice, Kraft, Julia, Whiteman, David C., Olsen, Catherine M., Uitterlinden, Andre G., Hofman, Albert, Rietschel, Marcella, Cichon, Sven, Nöthen, Markus M., Amouyel, Philippe, Traynor, Bryan J., Singleton, Andrew B., Mitne Neto, Miguel, Cauchi, Ruben J., Ophoff, Roel A., Wiedau-Pazos, Martina, Lomen-Hoerth, Catherine, van Deerlin, Vivianna M., Grosskreutz, Julian, Roediger, Annekathrin, Gaur, Nayana, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Ilse, Benjamin, Stubendorff, Beatrice, Witte, Otto W., Steinbach, Robert, Hübner, Christian A., Graff, Caroline, Brylev, Lev, Fominykh, Vera, Demeshonok, Vera, Ataulina, Anastasia, Rogelj, Boris, Koritnik, Blaž, Zidar, Janez, Ravnik-Glavač, Metka, Glavač, Damjan, Stević, Zorica, Drory, Vivian, Povedano, Monica, Blair, Ian P., Kiernan, Matthew C., Benyamin, Beben, Henderson, Robert D., Furlong, Sarah, Mathers, Susan, McCombe, Pamela A., Needham, Merrilee, Ngo, Shyuan T., Nicholson, Garth A., Pamphlett, Roger, Rowe, Dominic B., Steyn, Frederik J., Williams, Kelly L., Mather, Karen A., Sachdev, Perminder S., Henders, Anjali K., Wallace, Leanne, de Carvalho, Mamede, Pinto, Susana, Petri, Susanne, Weber, Markus, Rouleau, Guy A., Silani, Vincenzo, Curtis, Charles J., Breen, Gerome, Glass, Jonathan D., Brown, Jr., Robert H., Landers, John E., Shaw, Christopher E., Andersen, Peter M., Groen, Ewout J. N., van Es, Michael A., Pasterkamp, R. Jeroen, Fan, Dongsheng, Garton, Fleur C., McRae, Allan F., Davey Smith, George, Gaunt, Tom R., Eberle, Michael A., Mill, Jonathan, McLaughlin, Russell L., Hardiman, Orla, Kenna, Kevin P., Wray, Naomi R., Tsai, Ellen, Runz, Heiko, Franke, Lude, Al-Chalabi, Ammar, Van Damme, Philip, van den Berg, Leonard H., and Veldink, Jan H.

Published
2021
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5. Meta-analyses identify DNA methylation associated with kidney function and damage

Author

Schlosser, Pascal, Tin, Adrienne, Matias-Garcia, Pamela R., Thio, Chris H. L., Joehanes, Roby, Liu, Hongbo, Weihs, Antoine, Yu, Zhi, Hoppmann, Anselm, Grundner-Culemann, Franziska, Min, Josine L., Adeyemo, Adebowale A., Agyemang, Charles, Ärnlöv, Johan, Aziz, Nasir A., Baccarelli, Andrea, Bochud, Murielle, Brenner, Hermann, Breteler, Monique M. B., Carmeli, Cristian, Chaker, Layal, Chambers, John C., Cole, Shelley A., Coresh, Josef, Corre, Tanguy, Correa, Adolfo, Cox, Simon R., de Klein, Niek, Delgado, Graciela E., Domingo-Relloso, Arce, Eckardt, Kai-Uwe, Ekici, Arif B., Endlich, Karlhans, Evans, Kathryn L., Floyd, James S., Fornage, Myriam, Franke, Lude, Fraszczyk, Eliza, Gao, Xu, Gào, Xīn, Ghanbari, Mohsen, Ghasemi, Sahar, Gieger, Christian, Greenland, Philip, Grove, Megan L., Harris, Sarah E., Hemani, Gibran, Henneman, Peter, Herder, Christian, Horvath, Steve, Hou, Lifang, Hurme, Mikko A., Hwang, Shih-Jen, Jarvelin, Marjo-Riitta, Kardia, Sharon L. R., Kasela, Silva, Kleber, Marcus E., Koenig, Wolfgang, Kooner, Jaspal S., Kramer, Holly, Kronenberg, Florian, Kühnel, Brigitte, Lehtimäki, Terho, Lind, Lars, Liu, Dan, Liu, Yongmei, Lloyd-Jones, Donald M., Lohman, Kurt, Lorkowski, Stefan, Lu, Ake T., Marioni, Riccardo E., März, Winfried, McCartney, Daniel L., Meeks, Karlijn A. C., Milani, Lili, Mishra, Pashupati P., Nauck, Matthias, Navas-Acien, Ana, Nowak, Christoph, Peters, Annette, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli T., Ratliff, Scott M., Reiner, Alex P., Rosas, Sylvia E., Schöttker, Ben, Schwartz, Joel, Sedaghat, Sanaz, Smith, Jennifer A., Sotoodehnia, Nona, Stocker, Hannah R., Stringhini, Silvia, Sundström, Johan, Swenson, Brenton R., Tellez-Plaza, Maria, van Meurs, Joyce B. J., van Vliet-Ostaptchouk, Jana V., Venema, Andrea, Verweij, Niek, Walker, Rosie M., Wielscher, Matthias, Winkelmann, Juliane, Wolffenbuttel, Bruce H. R., Zhao, Wei, Zheng, Yinan, Loh, Marie, Snieder, Harold, Levy, Daniel, Waldenberger, Melanie, Susztak, Katalin, Köttgen, Anna, and Teumer, Alexander

Published
2021
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6. Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption

Author

Karabegović, Irma, Portilla-Fernandez, Eliana, Li, Yang, Ma, Jiantao, Maas, Silvana C. E., Sun, Daokun, Hu, Emily A., Kühnel, Brigitte, Zhang, Yan, Ambatipudi, Srikant, Fiorito, Giovanni, Huang, Jian, Castillo-Fernandez, Juan E., Wiggins, Kerri L., de Klein, Niek, Grioni, Sara, Swenson, Brenton R., Polidoro, Silvia, Treur, Jorien L., Cuenin, Cyrille, Tsai, Pei-Chien, Costeira, Ricardo, Chajes, Veronique, Braun, Kim, Verweij, Niek, Kretschmer, Anja, Franke, Lude, van Meurs, Joyce B. J., Uitterlinden, André G., de Knegt, Robert J., Ikram, M. Arfan, Dehghan, Abbas, Peters, Annette, Schöttker, Ben, Gharib, Sina A., Sotoodehnia, Nona, Bell, Jordana T., Elliott, Paul, Vineis, Paolo, Relton, Caroline, Herceg, Zdenko, Brenner, Hermann, Waldenberger, Melanie, Rebholz, Casey M., Voortman, Trudy, Pan, Qiuwei, Fornage, Myriam, Levy, Daniel, Kayser, Manfred, and Ghanbari, Mohsen

Published
2021
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7. Potential impact of celiac disease genetic risk factors on T cell receptor signaling in gluten-specific CD4+ T cells

Author

Bakker, Olivier B., Ramírez-Sánchez, Aarón D., Borek, Zuzanna A., de Klein, Niek, Li, Yang, Modderman, Rutger, Kooy-Winkelaar, Yvonne, Johannesen, Marie K., Matarese, Filomena, Martens, Joost H. A., Kumar, Vinod, van Bergen, Jeroen, Qiao, Shuo-Wang, Lundin, Knut E. A., Sollid, Ludvig M., Koning, Frits, Wijmenga, Cisca, Withoff, Sebo, and Jonkers, Iris H.

Published
2021
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9. Author Correction: Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Author

van Rheenen, Wouter, van der Spek, Rick A. A., Bakker, Mark K., van Vugt, Joke J. F. A., Hop, Paul J., Zwamborn, Ramona A. J., de Klein, Niek, Westra, Harm-Jan, Bakker, Olivier B., Deelen, Patrick, Shireby, Gemma, Hannon, Eilis, Moisse, Matthieu, Baird, Denis, Restuadi, Restuadi, Dolzhenko, Egor, Dekker, Annelot M., Gawor, Klara, Westeneng, Henk-Jan, Tazelaar, Gijs H. P., van Eijk, Kristel R., Kooyman, Maarten, Byrne, Ross P., Doherty, Mark, Heverin, Mark, Al Khleifat, Ahmad, Iacoangeli, Alfredo, Shatunov, Aleksey, Ticozzi, Nicola, Cooper-Knock, Johnathan, Smith, Bradley N., Gromicho, Marta, Chandran, Siddharthan, Pal, Suvankar, Morrison, Karen E., Shaw, Pamela J., Hardy, John, Orrell, Richard W., Sendtner, Michael, Meyer, Thomas, Başak, Nazli, van der Kooi, Anneke J., Ratti, Antonia, Fogh, Isabella, Gellera, Cinzia, Lauria, Giuseppe, Corti, Stefania, Cereda, Cristina, Sproviero, Daisy, D’Alfonso, Sandra, Sorarù, Gianni, Siciliano, Gabriele, Filosto, Massimiliano, Padovani, Alessandro, Chiò, Adriano, Calvo, Andrea, Moglia, Cristina, Brunetti, Maura, Canosa, Antonio, Grassano, Maurizio, Beghi, Ettore, Pupillo, Elisabetta, Logroscino, Giancarlo, Nefussy, Beatrice, Osmanovic, Alma, Nordin, Angelica, Lerner, Yossef, Zabari, Michal, Gotkine, Marc, Baloh, Robert H., Bell, Shaughn, Vourc’h, Patrick, Corcia, Philippe, Couratier, Philippe, Millecamps, Stéphanie, Meininger, Vincent, Salachas, François, Mora Pardina, Jesus S., Assialioui, Abdelilah, Rojas-García, Ricardo, Dion, Patrick A., Ross, Jay P., Ludolph, Albert C., Weishaupt, Jochen H., Brenner, David, Freischmidt, Axel, Bensimon, Gilbert, Brice, Alexis, Durr, Alexandra, Payan, Christine A. M., Saker-Delye, Safa, Wood, Nicholas W., Topp, Simon, Rademakers, Rosa, Tittmann, Lukas, Lieb, Wolfgang, Franke, Andre, Ripke, Stephan, Braun, Alice, Kraft, Julia, Whiteman, David C., Olsen, Catherine M., Uitterlinden, Andre G., Hofman, Albert, Rietschel, Marcella, Cichon, Sven, Nöthen, Markus M., Amouyel, Philippe, Traynor, Bryan J., Singleton, Andrew B., Mitne Neto, Miguel, Cauchi, Ruben J., Ophoff, Roel A., Wiedau-Pazos, Martina, Lomen-Hoerth, Catherine, van Deerlin, Vivianna M., Grosskreutz, Julian, Roediger, Annekathrin, Gaur, Nayana, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Ilse, Benjamin, Stubendorff, Beatrice, Witte, Otto W., Steinbach, Robert, Hübner, Christian A., Graff, Caroline, Brylev, Lev, Fominykh, Vera, Demeshonok, Vera, Ataulina, Anastasia, Rogelj, Boris, Koritnik, Blaž, Zidar, Janez, Ravnik-Glavač, Metka, Glavač, Damjan, Stević, Zorica, Drory, Vivian, Povedano, Monica, Blair, Ian P., Kiernan, Matthew C., Benyamin, Beben, Henderson, Robert D., Furlong, Sarah, Mathers, Susan, McCombe, Pamela A., Needham, Merrilee, Ngo, Shyuan T., Nicholson, Garth A., Pamphlett, Roger, Rowe, Dominic B., Steyn, Frederik J., Williams, Kelly L., Mather, Karen A., Sachdev, Perminder S., Henders, Anjali K., Wallace, Leanne, de Carvalho, Mamede, Pinto, Susana, Petri, Susanne, Weber, Markus, Rouleau, Guy A., Silani, Vincenzo, Curtis, Charles J., Breen, Gerome, Glass, Jonathan D., Brown, Jr., Robert H., Landers, John E., Shaw, Christopher E., Andersen, Peter M., Groen, Ewout J. N., van Es, Michael A., Pasterkamp, R. Jeroen, Fan, Dongsheng, Garton, Fleur C., McRae, Allan F., Davey Smith, George, Gaunt, Tom R., Eberle, Michael A., Mill, Jonathan, McLaughlin, Russell L., Hardiman, Orla, Kenna, Kevin P., Wray, Naomi R., Tsai, Ellen, Runz, Heiko, Franke, Lude, Al-Chalabi, Ammar, Van Damme, Philip, van den Berg, Leonard H., and Veldink, Jan H.

Published
2022
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14. Author Correction: Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Author

van Rheenen, Wouter, van der Spek, Rick A A, Shireby, Gemma, Whiteman, David C, Olsen, Catherine M, Uitterlinden, Andre G, Hofman, Albert, Rietschel, Marcella, Cichon, Sven, Nöthen, Markus M., Amouyel, Philippe, Consortium, SLALOM, Consortium, PARALS, Hannon, Eilis, Consortium, SLAGEN, Consortium, SLAP, Traynor, Bryan J, Singleton, Andrew B, Mitne Neto, Miguel, Cauchi, Ruben J, Ophoff, Roel A, Wiedau-Pazos, Martina, Lomen-Hoerth, Catherine, van Deerlin, Vivianna M, Moisse, Matthieu, Grosskreutz, Julian, Roediger, Annekathrin, Gaur, Nayana, Jörk, Alexander, Barthel, Tabea, Theele, Erik, Ilse, Benjamin, Stubendorff, Beatrice, Witte, Otto W, Steinbach, Robert, Baird, Denis, Hübner, Christian A, Graff, Caroline, Brylev, Lev, Fominykh, Vera, Demeshonok, Vera, Ataulina, Anastasia, Rogelj, Boris, Koritnik, Blaž, Zidar, Janez, Ravnik-Glavač, Metka, Restuadi, Restuadi, Glavač, Damjan, Stević, Zorica, Drory, Vivian, Povedano, Monica, Blair, Ian P, Kiernan, Matthew C, Benyamin, Beben, Henderson, Robert D, Furlong, Sarah, Mathers, Susan, Dolzhenko, Egor, McCombe, Pamela A, Needham, Merrilee, Ngo, Shyuan T, Nicholson, Garth A, Pamphlett, Roger, Rowe, Dominic B, Steyn, Frederik J, Williams, Kelly L, Mather, Karen A, Sachdev, Perminder S, Dekker, Annelot M, Henders, Anjali K, Wallace, Leanne, de Carvalho, Mamede, Pinto, Susana, Petri, Susanne, Weber, Markus, Rouleau, Guy A, Silani, Vincenzo, Curtis, Charles J, Breen, Gerome, Gawor, Klara, Glass, Jonathan D, Brown, Robert H, Landers, John E, Shaw, Christopher E, Andersen, Peter M, Groen, Ewout J N, van Es, Michael A, Pasterkamp, R Jeroen, Fan, Dongsheng, Garton, Fleur C, Westeneng, Henk-Jan, McRae, Allan F, Davey Smith, George, Gaunt, Tom R, Eberle, Michael A, Mill, Jonathan, McLaughlin, Russell L, Hardiman, Orla, Kenna, Kevin P, Wray, Naomi R, Tsai, Ellen, Tazelaar, Gijs H P, Runz, Heiko, Franke, Lude, Al-Chalabi, Ammar, Van Damme, Philip, van den Berg, Leonard H, Veldink, Jan H, Comi, Giancarlo, Riva, Nilo, Lunetta, Christian, Gerardi, Francesca, Bakker, Mark K, van Eijk, Kristel R, Cotelli, Maria Sofia, Rinaldi, Fabrizio, Chiveri, Luca, Guaita, Maria Cristina, Perrone, Patrizia, Ceroni, Mauro, Diamanti, Luca, Ferrarese, Carlo, Tremolizzo, Lucio, Delodovici, Maria Luisa, Kooyman, Maarten, Bono, Giorgio, Canosa, Antonio, Manera, Umberto, Vasta, Rosario, Bombaci, Alessandro, Casale, Federico, Fuda, Giuseppe, Salamone, Paolina, Iazzolino, Barbara, Peotta, Laura, Byrne, Ross P, Cugnasco, Paolo, De Marco, Giovanni, Torrieri, Maria Claudia, Palumbo, Francesca, Gallone, Salvatore, Barberis, Marco, Sbaiz, Luca, Gentile, Salvatore, Mauro, Alessandro, Mazzini, Letizia, Doherty, Mark, De Marchi, Fabiola, Corrado, Lucia, D'Alfonso, Sandra, Bertolotto, Antonio, Gionco, Maurizio, Leotta, Daniela, Odddenino, Enrico, Imperiale, Daniele, Cavallo, Roberto, Pignatta, Pietro, Heverin, Mark, De Mattei, Marco, Geda, Claudio, Papurello, Diego Maria, Gusmaroli, Graziano, Comi, Cristoforo, Labate, Carmelo, Ruiz, Luigi, Ferrandi, Delfina, Rota, Eugenia, Aguggia, Marco, Al Khleifat, Ahmad, Di Vito, Nicoletta, Meineri, Piero, Ghiglione, Paolo, Launaro, Nicola, Dotta, Michele, Di Sapio, Alessia, Giardini, Guido, Tiloca, Cinzia, Peverelli, Silvia, Taroni, Franco, Iacoangeli, Alfredo, Pensato, Viviana, Castellotti, Barbara, Comi, Giacomo P, Del Bo, Roberto, Gagliardi, Stella, Raggi, Flavia, Simoncini, Costanza, Shatunov, Aleksey, Lo Gerfo, Annalisa, Inghilleri, Maurizio, Ferlini, Alessandra, Simone, Isabella L, Passarella, Bruno, Guerra, Vito, Zoccolella, Stefano, Nozzoli, Cecilia, Mundi, Ciro, Leone, Maurizio, Ticozzi, Nicola, Zarrelli, Michele, Tamma, Filippo, Valluzzi, Francesco, Calabrese, Gianluigi, Boero, Giovanni, Rini, Augusto, Cooper-Knock, Johnathan, van Vugt, Joke J F A, Smith, Bradley N, Gromicho, Marta, Chandran, Siddharthan, Pal, Suvankar, Morrison, Karen E, Shaw, Pamela J, Hardy, John, Orrell, Richard W, Sendtner, Michael, Meyer, Thomas, Hop, Paul J, Başak, Nazli, van der Kooi, Anneke J, Ratti, Antonia, Fogh, Isabella, Gellera, Cinzia, Lauria, Giuseppe, Corti, Stefania, Cereda, Cristina, Sproviero, Daisy, Zwamborn, Ramona A J, Sorarù, Gianni, Siciliano, Gabriele, Filosto, Massimiliano, Padovani, Alessandro, Chiò, Adriano, Calvo, Andrea, Moglia, Cristina, Brunetti, Maura, Grassano, Maurizio, de Klein, Niek, Beghi, Ettore, Pupillo, Elisabetta, Logroscino, Giancarlo, Nefussy, Beatrice, Osmanovic, Alma, Nordin, Angelica, Lerner, Yossef, Zabari, Michal, Gotkine, Marc, Baloh, Robert H, Westra, Harm-Jan, Bell, Shaughn, Vourc'h, Patrick, Corcia, Philippe, Couratier, Philippe, Millecamps, Stéphanie, Meininger, Vincent, Salachas, François, Mora Pardina, Jesus S, Assialioui, Abdelilah, Rojas-García, Ricardo, Bakker, Olivier B, Dion, Patrick A, Ross, Jay P, Ludolph, Albert, Weishaupt, Jochen H, Brenner, David, Freischmidt, Axel, Bensimon, Gilbert, Brice, Alexis, Dürr, Alexandra, Payan, Christine A M, Deelen, Patrick, Saker-Delye, Safa, Wood, Nicholas W, Topp, Simon, Rademakers, Rosa, Tittmann, Lukas, Lieb, Wolfgang, Franke, Andre, Ripke, Stephan, Braun, Alice, and Kraft, Julia

Subjects
ddc:570, Genetics, Medizin
Abstract

In the version of this article initially published, the affiliation for Nazli Başak appeared incorrectly. Nazli Başak is at Koç University, School of Medicine, KUTTAM-NDAL, Istanbul, Turkey, and not Bogazici University. The error has been corrected in the HTML and PDF versions of the article.

Published
2021
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15. Deconvolution of bulk blood eQTL effects into immune cell subpopulations.

Author

Aguirre-Gamboa, Raúl, de Klein, Niek, di Tommaso, Jennifer, Claringbould, Annique, van der Wijst, Monique GP, de Vries, Dylan, Brugge, Harm, Oelen, Roy, Võsa, Urmo, Zorro, Maria M., Chu, Xiaojin, Bakker, Olivier B., Borek, Zuzanna, Ricaño-Ponce, Isis, Deelen, Patrick, Xu, Cheng-Jiang, Swertz, Morris, Jonkers, Iris, Withoff, Sebo, and Joosten, Irma

Subjects
*DECONVOLUTION (Mathematics), *BLOOD, *CELLS, *LOCUS (Genetics), *BLOOD sampling
Abstract

Background: Expression quantitative trait loci (eQTL) studies are used to interpret the function of disease-associated genetic risk factors. To date, most eQTL analyses have been conducted in bulk tissues, such as whole blood and tissue biopsies, which are likely to mask the cell type-context of the eQTL regulatory effects. Although this context can be investigated by generating transcriptional profiles from purified cell subpopulations, current methods to do this are labor-intensive and expensive. We introduce a new method, Decon2, as a framework for estimating cell proportions using expression profiles from bulk blood samples (Decon-cell) followed by deconvolution of cell type eQTLs (Decon-eQTL). Results: The estimated cell proportions from Decon-cell agree with experimental measurements across cohorts (R ≥ 0.77). Using Decon-cell, we could predict the proportions of 34 circulating cell types for 3194 samples from a population-based cohort. Next, we identified 16,362 whole-blood eQTLs and deconvoluted cell type interaction (CTi) eQTLs using the predicted cell proportions from Decon-cell. CTi eQTLs show excellent allelic directional concordance with eQTL (≥ 96–100%) and chromatin mark QTL (≥87–92%) studies that used either purified cell subpopulations or single-cell RNA-seq, outperforming the conventional interaction effect. Conclusions: Decon2 provides a method to detect cell type interaction effects from bulk blood eQTLs that is useful for pinpointing the most relevant cell type for a given complex disease. Decon2 is available as an R package and Java application (https://github.com/molgenis/systemsgenetics/tree/master/Decon2) and as a web tool (www.molgenis.org/deconvolution). [ABSTRACT FROM AUTHOR]

Published
2020
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16. A framework for discovering, designing, and testing microproteins to regulate synthetic transcriptional modules

Author

Fiume, Elisa, de Klein, Niek, Rhee, Seung Yon, and Magnani, Enrico

Subjects
Journal Article
Abstract

Transcription factors often form protein complexes and give rise to intricate transcriptional networks. The regulation of transcription factor multimerization plays a key role in the fine-tuning of the underlying transcriptional pathways and can be exploited to modulate synthetic transcriptional modules. A novel regulation of protein complex formation is emerging: microProteins-truncated transcription factors-engage in protein-protein interactions with transcriptional complexes and modulate their transcriptional activity. Here, we outline a strategy for the discovery, design, and test of putative miPs to fine-tune the activity of transcription factors regulating synthetic or natural transcriptional circuits.

Published
2016

17. TMEM258 Is a Component of the Oligosaccharyltransferase Complex Controlling ER Stress and Intestinal Inflammation.

Author

Graham, Daniel B., Lefkovith, Ariel, Deelen, Patrick, de Klein, Niek, Varma, Mukund, Boroughs, Angela, Desch, A. Nicole, Ng, Aylwin C.Y., Guzman, Gaelen, Schenone, Monica, Petersen, Christine P., Bhan, Atul K., Rivas, Manuel A., Daly, Mark J., Carr, Steven A., Wijmenga, Cisca, and Xavier, Ramnik J.

Abstract

Summary Significant insights into disease pathogenesis have been gleaned from population-level genetic studies; however, many loci associated with complex genetic disease contain numerous genes, and phenotypic associations cannot be assigned unequivocally. In particular, a gene-dense locus on chromosome 11 (61.5–61.65 Mb) has been associated with inflammatory bowel disease, rheumatoid arthritis, and coronary artery disease. Here, we identify TMEM258 within this locus as a central regulator of intestinal inflammation. Strikingly, Tmem258 haploinsufficient mice exhibit severe intestinal inflammation in a model of colitis. At the mechanistic level, we demonstrate that TMEM258 is a required component of the oligosaccharyltransferase complex and is essential for N-linked protein glycosylation. Consequently, homozygous deficiency of Tmem258 in colonic organoids results in unresolved endoplasmic reticulum (ER) stress culminating in apoptosis. Collectively, our results demonstrate that TMEM258 is a central mediator of ER quality control and intestinal homeostasis. [ABSTRACT FROM AUTHOR]

Published
2016
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18. microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors.

Author

de Klein, Niek, Magnani, Enrico, Banf, Michael, and Rhee, Seung Yon

Subjects
*PROTEIN-protein interactions, *MEDICAL software, *PROTEIN analysis, *GENETIC transcription, *SEQUENCE alignment
Abstract

An emerging concept in transcriptional regulation is that a class of truncated transcription factors (TFs), called microProteins (miPs), engages in protein-protein interactions with TF complexes and provides feedback controls. A handful of miP examples have been described in the literature but the extent of their prevalence is unclear. Here we present an algorithm that predicts miPs and their target TFs from a sequenced genome. The algorithm is called miP prediction program (miP3), which is implemented in Python. The software will help shed light on the prevalence, biological roles, and evolution of miPs. Moreover, miP3 can be used to predict other types of miP-like proteins that may have evolved from other functional classes such as kinases and receptors. The program is freely available and can be applied to any sequenced genome. [ABSTRACT FROM AUTHOR]

Published
2015
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19. A gene mapping bottleneck in the translational route from zebrafish to human.

Author

de Klein, Niek, Ibberson, Mark, Crespo, Isaac, Rodius, Sophie, Azuaje, Francisco, and Ponomarenko, Mikhail P.

Subjects
GENE mapping research, GENETIC techniques, GENETIC distance, ZEBRA danio, BRACHYDANIO
Abstract

Among a diversity of animal models of disease, the zebrafish is a promising model organism for enabling novel translational biomedical research. To fully achieve the latter, a key requirement is to match molecular readouts measured in zebrafish with information relevant to health and disease in humans. A fundamental step in this direction is to accurately map gene sequences from zebrafish to humans. Despite significant progress in genome annotation, this remains an intricate and time-consuming challenge. Here we discuss major obstacles that we had to overcome to systematically map genes from zebrafish to human. We identified important disparities, as well as partial agreements, between five public zebrafish-to-human homology resources. There is still a need for standardized, comprehensive genomic mappings between zebrafish and humans. Without this, efforts to use zebrafish as a powerful translational research tool will be stalled. [ABSTRACT FROM AUTHOR]

Published
2015
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20. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

Author

Petri Wiklund, Melanie Waldenberger, Lili Milani, Wei Chen, André G. Uitterlinden, Hans J. Grabe, Pim van der Harst, Shengxu Li, Pashupati P. Mishra, John C. Chambers, Rae-Chi Huang, Jaspal S. Kooner, Giovanni Cugliari, Lawrence J. Beilin, Joyce B. J. van Meurs, Mika Kähönen, Rory P. Wilson, Phillip E. Melton, P. Eline Slagboom, Benjamin Lehne, Matthias Nauck, Simonetta Guarrera, Sylvain Sebert, Giuseppe Matullo, Matthias Wielscher, Weihua Zhang, Tao Zhang, Yan Zhang, Mikko Hurme, Niek de Klein, Hermann Brenner, Marjo-Riitta Järvelin, Krista Fischer, Annette Peters, Silva Kasela, Trevor A. Mori, Taulant Muka, Terho Lehtimäki, Oscar H. Franco, Leonard H. van den Berg, Pooja R. Mandaviya, Toby Andrew, Matthew Suderman, Marie Loh, Niek Verweij, Lude Franke, Ville Karhunen, Priyanka Parmar, Wolfgang Rathmann, Alexander Teumer, Jana Nano, Sonja Kunze, Estelle Lowry, Denise Anderson, Christian Gieger, Philippe Froguel, Dorret I. Boomsma, Jan H. Veldink, Marleen M.J. van Greevenbroek, Caroline L Relton, Salvatore Panico, Bastiaan T. Heijmans, Amélie Bonnefond, Stephan B. Felix, Olli T. Raitakari, Ben Schöttker, Maastricht Centre for Systems Biology, Interne Geneeskunde, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, RS: FSE MaCSBio, Internal Medicine, Epidemiology, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Parmar, Priyanka, Lowry, Estelle, Cugliari, Giovanni, Suderman, Matthew, Wilson, Rory, Karhunen, Ville, Andrew, Toby, Wiklund, Petri, Wielscher, Matthia, Guarrera, Simonetta, Teumer, Alexander, Lehne, Benjamin, Milani, Lili, de Klein, Niek, Mishra, Pashupati P, Melton, Phillip E, Mandaviya, Pooja R, Kasela, Silva, Nano, Jana, Zhang, Weihua, Zhang, Yan, Uitterlinden, Andre G, Peters, Annette, Schöttker, Ben, Gieger, Christian, Anderson, Denise, Boomsma, Dorret I, Grabe, Hans J, Panico, Salvatore, Veldink, Jan H, van Meurs, Joyce B J, van den Berg, Leonard, Beilin, Lawrence J, Franke, Lude, Loh, Marie, van Greevenbroek, Marleen M J, Nauck, Matthia, Kähönen, Mika, Hurme, Mikko A, Raitakari, Olli T, Franco, Oscar H, Slagboom, P Eline, van der Harst, Pim, Kunze, Sonja, Schill, FELIX STEPHAN, Zhang, Tao, Chen, Wei, Mori, Trevor A, Bonnefond, Amelie, Heijmans, Bastiaan T, Muka, Taulant, Kooner, Jaspal S, Fischer, Krista, Waldenberger, Melanie, Froguel, Philippe, Huang, Rae-Chi, Lehtimäki, Terho, Rathmann, Wolfgang, Relton, Caroline L, Matullo, Giuseppe, Brenner, Hermann, Verweij, Niek, Li, Shengxu, Chambers, John C, Järvelin, Marjo-Riitta, Sebert, Sylvain, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), and Stem Cell Aging Leukemia and Lymphoma (SALL)

Subjects
Genetics and Molecular Biology (all), Male, Netherlands Twin Register (NTR), 0301 basic medicine, Research paper, GFI1 protein, human, GFI1-locus, raskaus, Research & Experimental Medicine, cardio-metabolic phenotypes, Biochemistry, Epigenesis, Genetic, GLOBAL Meth QTL Consortium, 0302 clinical medicine, Pregnancy, Smoke, 030212 general & internal medicine, maternal prenatal smoking, DNA METHYLATION, media_common, RISK, 2. Zero hunger, education.field_of_study, Smoking, ta3142, General Medicine, Middle Aged, genetics [Transcription Factors], 3. Good health, DNA-Binding Proteins, Phenotype, Medicine, Research & Experimental, CARDIOVASCULAR-DISEASE, epigenetiikka, Population Surveillance, Prenatal Exposure Delayed Effects, DNA methylation, Female, Disease Susceptibility, BIOS Consortium, Medical Genetics, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Offspring, Birth weight, Population, Mothers, genetics [DNA-Binding Proteins], ta3111, Methylation, General Biochemistry, Genetics and Molecular Biology, DIET, 03 medical and health sciences, Medicine, General & Internal, SDG 3 - Good Health and Well-being, tupakointi, General & Internal Medicine, Internal medicine, medicine, media_common.cataloged_instance, Humans, ddc:610, adverse effects [Maternal Exposure], EXPOSURE, Epigenetics, European union, education, Medicinsk genetik, EPIGENOME-WIDE ASSOCIATION, Biochemistry, Genetics and Molecular Biology (all), Science & Technology, business.industry, adverse effects [Smoking], DNA Methylation, ta3121, medicine.disease, BIRTH-WEIGHT, 030104 developmental biology, Endocrinology, Genetic Loci, sydän- ja verisuonitaudit, CpG Islands, CIGARETTE-SMOKING, CESSATION, Energy Metabolism, metabolism [Myocardium], business, Body mass index, Biomarkers, Transcription Factors
Abstract

Background: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health.Methods: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n= 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult smoking. DNA methylation levels were analysed in relation to body mass index (BMI), waist circumference (WC), fasting glucose (FG), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), diastolic, and systolic blood pressure (BP).Findings: Lower DNA methylation at three out of eight GFI1-CpGs was associated with exposure to maternal prenatal smoking, whereas, all eight CpGs were associated with adult own smoking. Lower DNA methylation at cg14179389, the strongest maternal prenatal smoking locus, was associated with increased WC and BP when adjusted for sex, age, and adult smoking with Bonferroni-corrected P Interpretation: Epigenetic changes at the GFI1 were linked to smoking exposure in-utero/in-adulthood and robustly associated with cardio-metabolic risk factors. Fund: European Union's Horizon 2020 research and innovation programme under grant agreement no. 633595 DynaHEALTH. (c) 2018 The Authors. Published by Elsevier B.V.

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21. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults.

Author

Parmar P, Lowry E, Cugliari G, Suderman M, Wilson R, Karhunen V, Andrew T, Wiklund P, Wielscher M, Guarrera S, Teumer A, Lehne B, Milani L, de Klein N, Mishra PP, Melton PE, Mandaviya PR, Kasela S, Nano J, Zhang W, Zhang Y, Uitterlinden AG, Peters A, Schöttker B, Gieger C, Anderson D, Boomsma DI, Grabe HJ, Panico S, Veldink JH, van Meurs JBJ, van den Berg L, Beilin LJ, Franke L, Loh M, van Greevenbroek MMJ, Nauck M, Kähönen M, Hurme MA, Raitakari OT, Franco OH, Slagboom PE, van der Harst P, Kunze S, Felix SB, Zhang T, Chen W, Mori TA, Bonnefond A, Heijmans BT, Muka T, Kooner JS, Fischer K, Waldenberger M, Froguel P, Huang RC, Lehtimäki T, Rathmann W, Relton CL, Matullo G, Brenner H, Verweij N, Li S, Chambers JC, Järvelin MR, and Sebert S

Subjects
Adult, Biomarkers, CpG Islands, DNA Methylation, Energy Metabolism, Epigenesis, Genetic, Female, Humans, Male, Middle Aged, Myocardium metabolism, Population Surveillance, Pregnancy, DNA-Binding Proteins genetics, Disease Susceptibility, Genetic Loci, Maternal Exposure adverse effects, Phenotype, Prenatal Exposure Delayed Effects, Smoking adverse effects, Transcription Factors genetics
Abstract

Background: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health., Methods: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n = 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult smoking. DNA methylation levels were analysed in relation to body mass index (BMI), waist circumference (WC), fasting glucose (FG), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), diastolic, and systolic blood pressure (BP)., Findings: Lower DNA methylation at three out of eight GFI1-CpGs was associated with exposure to maternal prenatal smoking, whereas, all eight CpGs were associated with adult own smoking. Lower DNA methylation at cg14179389, the strongest maternal prenatal smoking locus, was associated with increased WC and BP when adjusted for sex, age, and adult smoking with Bonferroni-corrected P < 0·012. In contrast, lower DNA methylation at cg09935388, the strongest adult own smoking locus, was associated with decreased BMI, WC, and BP (adjusted 1 × 10 -7  < P < 0.01). Similarly, lower DNA methylation at cg12876356, cg18316974, cg09662411, and cg18146737 was associated with decreased BMI and WC (5 × 10 -8  < P < 0.001). Lower DNA methylation at all the CpGs was consistently associated with higher TG levels., Interpretation: Epigenetic changes at the GFI1 were linked to smoking exposure in-utero/in-adulthood and robustly associated with cardio-metabolic risk factors. FUND: European Union's Horizon 2020 research and innovation programme under grant agreement no. 633595 DynaHEALTH., (Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2018
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22. Identification of context-dependent expression quantitative trait loci in whole blood.

Author

Zhernakova DV, Deelen P, Vermaat M, van Iterson M, van Galen M, Arindrarto W, van 't Hof P, Mei H, van Dijk F, Westra HJ, Bonder MJ, van Rooij J, Verkerk M, Jhamai PM, Moed M, Kielbasa SM, Bot J, Nooren I, Pool R, van Dongen J, Hottenga JJ, Stehouwer CD, van der Kallen CJ, Schalkwijk CG, Zhernakova A, Li Y, Tigchelaar EF, de Klein N, Beekman M, Deelen J, van Heemst D, van den Berg LH, Hofman A, Uitterlinden AG, van Greevenbroek MM, Veldink JH, Boomsma DI, van Duijn CM, Wijmenga C, Slagboom PE, Swertz MA, Isaacs A, van Meurs JB, Jansen R, Heijmans BT, 't Hoen PA, and Franke L

Subjects
Cohort Studies, Female, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Humans, Male, Middle Aged, RNA, Messenger genetics, Blood Proteins genetics, Cell Lineage genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, RNA, Messenger blood, Regulatory Sequences, Nucleic Acid genetics
Abstract

Genetic risk factors often localize to noncoding regions of the genome with unknown effects on disease etiology. Expression quantitative trait loci (eQTLs) help to explain the regulatory mechanisms underlying these genetic associations. Knowledge of the context that determines the nature and strength of eQTLs may help identify cell types relevant to pathophysiology and the regulatory networks underlying disease. Here we generated peripheral blood RNA-seq data from 2,116 unrelated individuals and systematically identified context-dependent eQTLs using a hypothesis-free strategy that does not require previous knowledge of the identity of the modifiers. Of the 23,060 significant cis-regulated genes (false discovery rate (FDR) ≤ 0.05), 2,743 (12%) showed context-dependent eQTL effects. The majority of these effects were influenced by cell type composition. A set of 145 cis-eQTLs depended on type I interferon signaling. Others were modulated by specific transcription factors binding to the eQTL SNPs.

Published
2017
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23. A Framework for Discovering, Designing, and Testing MicroProteins to Regulate Synthetic Transcriptional Modules.

Author

Fiume E, de Klein N, Rhee SY, and Magnani E

Subjects
Gene Regulatory Networks genetics, Protein Interaction Maps genetics, Transcription Factors genetics, Gene Expression Regulation genetics, Molecular Biology methods, Proteins genetics, Transcription, Genetic
Abstract

Transcription factors often form protein complexes and give rise to intricate transcriptional networks. The regulation of transcription factor multimerization plays a key role in the fine-tuning of the underlying transcriptional pathways and can be exploited to modulate synthetic transcriptional modules. A novel regulation of protein complex formation is emerging: microProteins-truncated transcription factors-engage in protein-protein interactions with transcriptional complexes and modulate their transcriptional activity. Here, we outline a strategy for the discovery, design, and test of putative miPs to fine-tune the activity of transcription factors regulating synthetic or natural transcriptional circuits.

Published
2016
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