36 results on '"Krestyaninova, Maria"'
Search Results
2. Services Design in a Collaborative Network for Multidisciplinary Research Projects
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Krestyaninova, Maria, Tammisto, Yulia, Camarinha-Matos, Luis M., editor, Xu, Lai, editor, and Afsarmanesh, Hamideh, editor
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- 2012
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3. SAIL—a software system for sample and phenotype availability across biobanks and cohorts
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Gostev, Mikhail, Fernandez-Banet, Julio, Rung, Johan, Dietrich, Joern, Prokopenko, Inga, Ripatti, Samuli, McCarthy, Mark I., Brazma, Alvis, and Krestyaninova, Maria
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- 2011
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4. R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases
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Antonov, Alexey V., Schmidt, Esther E., Dietmann, Sabine, Krestyaninova, Maria, and Hermjakob, Henning
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- 2010
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5. A System for Information Management in BioMedical Studies—SIMBioMS
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Krestyaninova, Maria, Zarins, Andris, Viksna, Juris, Kurbatova, Natalja, Rucevskis, Peteris, Neogi, Sudeshna Guha, Gostev, Mike, Perheentupa, Teemu, Knuuttila, Juha, Barrett, Amy, Lappalainen, Ilkka, Rung, Johan, Podnieks, Karlis, Sarkans, Ugis, McCarthy, Mark I, and Brazma, Alvis
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- 2009
6. ArrayExpress update—from an archive of functional genomics experiments to the atlas of gene expression
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Parkinson, Helen, Kapushesky, Misha, Kolesnikov, Nikolay, Rustici, Gabriella, Shojatalab, Mohammad, Abeygunawardena, Niran, Berube, Hugo, Dylag, Miroslaw, Emam, Ibrahim, Farne, Anna, Holloway, Ele, Lukk, Margus, Malone, James, Mani, Roby, Pilicheva, Ekaterina, Rayner, Tim F., Rezwan, Faisal, Sharma, Anjan, Williams, Eleanor, Bradley, Xiangqun Zheng, Adamusiak, Tomasz, Brandizi, Marco, Burdett, Tony, Coulson, Richard, Krestyaninova, Maria, Kurnosov, Pavel, Maguire, Eamonn, Neogi, Sudeshna Guha, Rocca-Serra, Philippe, Sansone, Susanna-Assunta, Sklyar, Nataliya, Zhao, Mengyao, Sarkans, Ugis, and Brazma, Alvis
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- 2009
7. InterPro, progress and status in 2005
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Mulder, Nicola J., Apweiler, Rolf, Attwood, Teresa K., Bairoch, Amos, Bateman, Alex, Binns, David, Bradley, Paul, Bork, Peer, Bucher, Phillip, Cerutti, Lorenzo, Copley, Richard, Courcelle, Emmanuel, Das, Ujjwal, Durbin, Richard, Fleischmann, Wolfgang, Gough, Julian, Haft, Daniel, Harte, Nicola, Hulo, Nicolas, Kahn, Daniel, Kanapin, Alexander, Krestyaninova, Maria, Lonsdale, David, Lopez, Rodrigo, Letunic, Ivica, Madera, Martin, Maslen, John, McDowall, Jennifer, Mitchell, Alex, Nikolskaya, Anastasia N., Orchard, Sandra, Pagni, Marco, Ponting, Chris P., Quevillon, Emmanuel, Selengut, Jeremy, Sigrist, Christian J. A., Silventoinen, Ville, Studholme, David J., Vaughan, Robert, and Wu, Cathy H.
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- 2005
8. The InterPro Database, 2003 brings increased coverage and new features
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Mulder, Nicola J., Apweiler, Rolf, Attwood, Teresa K., Bairoch, Amos, Barrell, Daniel, Bateman, Alex, Binns, David, Biswas, Margaret, Bradley, Paul, Bork, Peer, Bucher, Phillip, Copley, Richard R., Courcelle, Emmanuel, Das, Ujjwal, Durbin, Richard, Falquet, Laurent, Fleischmann, Wolfgang, Griffiths-Jones, Sam, Haft, Daniel, Harte, Nicola, Hulo, Nicolas, Kahn, Daniel, Kanapin, Alexander, Krestyaninova, Maria, Lopez, Rodrigo, Letunic, Ivica, Lonsdale, David, Silventoinen, Ville, Orchard, Sandra E., Pagni, Marco, Peyruc, David, Ponting, Chris P., Selengut, Jeremy D., Servant, Florence, Sigrist, Christian J. A., Vaughan, Robert, and Zdobnov, Evgueni M.
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- 2003
9. Towards reconstruction of gene networks from expression data by supervised learning
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Soinov, Lev A, Krestyaninova, Maria A, and Brazma, Alvis
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- 2003
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10. PASSIM – an open source software system for managing information in biomedical studies
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Neogi Sudeshna, Barrett Amy, Zarins Andris, Rucevskis Peteris, Podnieks Karlis, Opmanis Martins, Celms Edgars, Viksna Juris, Krestyaninova Maria, McCarthy Mark I, Brazma Alvis, and Sarkans Ugis
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background One of the crucial aspects of day-to-day laboratory information management is collection, storage and retrieval of information about research subjects and biomedical samples. An efficient link between sample data and experiment results is absolutely imperative for a successful outcome of a biomedical study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but often implies sufficient investment of time, effort and funds, which are not always available. There is a clear need for lightweight open source systems for patient and sample information management. Results We present a web-based tool for submission, management and retrieval of sample and research subject data. The system secures confidentiality by separating anonymized sample information from individuals' records. It is simple and generic, and can be customised for various biomedical studies. Information can be both entered and accessed using the same web interface. User groups and their privileges can be defined. The system is open-source and is supplied with an on-line tutorial and necessary documentation. It has proven to be successful in a large international collaborative project. Conclusion The presented system closes the gap between the need and the availability of lightweight software solutions for managing information in biomedical studies involving human research subjects.
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- 2007
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11. Sequence variants at CHRNB3?€'CHRNA6 and CYP2A6 affect smoking behavior
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Thorgeirsson, Thorgeir E, Gudbjartsson, Daniel F, Surakka, Ida, Vink, Jacqueline M, Amin, Najaf, Geller, Frank, Sulem, Patrick, Rafnar, Thorunn, Esko, Tõnu, Walter, Stefan, Gieger, Christian, Rawal, Rajesh, Mangino, Massimo, Prokopenko, Inga, Mägi, Reedik, Keskitalo, Kaisu, Gudjonsdottir, Iris H, Gretarsdottir, Solveig, Stefansson, Hreinn, Thompson, John R, Aulchenko, Yurii S, Nelis, Mari, Aben, Katja K, den Heijer, Martin, Dirksen, Asger, Ashraf, Haseem, Soranzo, Nicole, Valdes, Ana M, Steves, Claire, Uitterlinden, André G, Hofman, Albert, Tönjes, Anke, Kovacs, Peter, Hottenga, Jouke Jan, Willemsen, Gonneke, Vogelzangs, Nicole, Döring, Angela, Dahmen, Norbert, Nitz, Barbara, Pergadia, Michele L, Saez, Berta, De Diego, Veronica, Lezcano, Victoria, Garcia-Prats, Maria D, Ripatti, Samuli, Perola, Markus, Kettunen, Johannes, Hartikainen, Anna-Liisa, Pouta, Anneli, Laitinen, Jaana, Isohanni, Matti, Huei-Yi, Shen, Allen, Maxine, Krestyaninova, Maria, Hall, Alistair S, Jones, Gregory T, van Rij, Andre M, Mueller, Thomas, Dieplinger, Benjamin, Haltmayer, Meinhard, Jonsson, Steinn, Matthiasson, Stefan E, Oskarsson, Hogni, Tyrfingsson, Thorarinn, Kiemeney, Lambertus A, Mayordomo, Jose I, Lindholt, Jes S, Pedersen, Jesper Holst, Franklin, Wilbur A, Wolf, Holly, Montgomery, Grant W, Heath, Andrew C, Martin, Nicholas G, Madden, Pamela A F, Giegling, Ina, Rujescu, Dan, Järvelin, Marjo-Riitta, Salomaa, Veikko, Stumvoll, Michael, Spector, Tim D, Wichmann, H-Erich, Metspalu, Andres, Samani, Nilesh J, Penninx, Brenda W, Oostra, Ben A, Boomsma, Dorret I, Tiemeier, Henning, van Duijn, Cornelia M, Kaprio, Jaakko, Gulcher, Jeffrey R, McCarthy, Mark I, Peltonen, Leena, Thorsteinsdottir, Unnur, and Stefansson, Kari
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- 2010
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12. Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants
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Allum, Fiona, Shao, Xiaojian, Guénard, Frédéric, Simon, Marie Michelle, Busche, Stephan, Caron, Maxime, Lambourne, John, Lessard, Julie, Tandre, Karolina, Hedman, Åsa K., Kwan, Tony, Ge, Bing, Rönnblom, Lars, McCarthy, Mark I., Deloukas, Panos, Richmond, Todd, Burgess, Daniel, Spector, Timothy D., Tchernof, André, Marceau, Simon, Lathrop, Mark, Vohl, Marie Claude, Pastinen, Tomi, Grundberg, Elin, Ahmadi, Kourosh R., Ainali, Chrysanthi, Barrett, Amy, Bataille, Veronique, Bell, Jordana T., Buil, Alfonso, Dermitzakis, Emmanouil T., Dimas, Antigone S., Durbin, Richard, Glass, Daniel, Hassanali, Neelam, Ingle, Catherine, Knowles, David, Krestyaninova, Maria, Lindgren, Cecilia M., Lowe, Christopher E., Meduri, Eshwar, Di Meglio, Paola, Min, Josine L., Montgomery, Stephen B., Nestle, Frank O., Nica, Alexandra C., Nisbet, James, O'Rahilly, Stephen, Parts, Leopold, Potter, Simon, Sandling, Johanna, Sekowska, Magdalena, Shin, So Youn, Small, Kerrin S., Soranzo, Nicole, Surdulescu, Gabriela, Travers, Mary E., Tsaprouni, Loukia, Tsoka, Sophia, Wilk, Alicja, Yang, Tsun Po, Zondervan, Krina T., Lambourne, John [0000-0003-2460-0759], and Apollo - University of Cambridge Repository
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CD36 Antigens ,Multiple Tissue Human Expression Resource Consortium ,Genotype ,education ,General Physics and Astronomy ,Genomics ,Computational biology ,Disease ,Biology ,Triglycerides blood ,Antigens, CD36 ,General Biochemistry, Genetics and Molecular Biology ,Article ,Epigenesis, Genetic ,MD Multidisciplinary ,Humans ,health care economics and organizations ,Triglycerides ,Epigenesis ,Rheumatology and Autoimmunity ,Genetics ,Reumatologi och inflammation ,Multidisciplinary ,Multifactorial disease ,Cholesterol, HDL ,High-Throughput Nucleotide Sequencing ,Cholesterol hdl ,General Chemistry ,DNA Methylation ,Enhancer Elements, Genetic ,CpG site ,Adipose Tissue ,DNA methylation ,CpG Islands ,Erratum - Abstract
Most genome-wide methylation studies (EWAS) of multifactorial disease traits use targeted arrays or enrichment methodologies preferentially covering CpG-dense regions, to characterize sufficiently large samples. To overcome this limitation, we present here a new customizable, cost-effective approach, methylC-capture sequencing (MCC-Seq), for sequencing functional methylomes, while simultaneously providing genetic variation information. To illustrate MCC-Seq, we use whole-genome bisulfite sequencing on adipose tissue (AT) samples and public databases to design AT-specific panels. We establish its efficiency for high-density interrogation of methylome variability by systematic comparisons with other approaches and demonstrate its applicability by identifying novel methylation variation within enhancers strongly correlated to plasma triglyceride and HDL-cholesterol, including at CD36. Our more comprehensive AT panel assesses tissue methylation and genotypes in parallel at ∼4 and ∼3 M sites, respectively. Our study demonstrates that MCC-Seq provides comparable accuracy to alternative approaches but enables more efficient cataloguing of functional and disease-relevant epigenetic and genetic variants for large-scale EWAS., Currently, genome-wide methylation studies are limited to using targeted arrays or enrichment to assess large sample sizes. Here, Allum et al. demonstrate MethylC-Capture Sequencing, a cost-effective method for investigating genetic and epigenetic variation.
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- 2015
13. Genetic studies of body mass index yield new insights for obesity biology
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Locke, Adam E, Kahali, Bratati, Croteau-Chonka, Damien C, Doney, Alex S F, He, Bing, Heikkilä, Outi, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Eklund, Niina, Saraheimo, Markku, Sarti, Cinzia, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Estrada, Karol, Wadén, Johan, Gill, Geoffrey V, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Eury, Elodie, Ladenvall, Claes, Alhenc-Gelas, François, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Folkersen, Lasse, Möllsten, Anna, Cimponeriu, Dan, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Fraser, Ross M, Colhoun, Helen M, Panduru, Nicolae Mircea, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Garcia, Melissa E, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Geller, Frank, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Giedraitis, Vilmantas, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Y, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Gigante, Bruna, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Esko, Tonu, Go, Alan S, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Golay, Alain, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Goodall, Alison H, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Gordon, Scott D, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Gorski, Mathias, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doring, Angela, Elliott, Paul, Grabe, Hans-Jörgen, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John J P, Khaw, Kay-Tee, Kim, Eric, Grammer, Tanja B, Klopp, Norman, Komulainen, Pirjo, Kumari, Meena, Langenberg, Claudia, Lehtimaki, Terho, Lin, Shih-Yi, Lindstrom, Jaana, Loos, Ruth J F, Mach, François, McArdle, Wendy L, Gräßler, Jürgen, Meisinger, Christa, Mitchell, Braxton D, Muller, Gabrielle, Nagaraja, Ramaiah, Narisu, Narisu, Nieminen, Tuomo V M, Nsubuga, Rebecca N, Olafsson, Isleifur, Ong, Ken K, Palotie, Aarno, Grönberg, Henrik, Papamarkou, Theodore, Pomilla, Cristina, Pouta, Anneli, Rader, Daniel J, Reilly, Muredach P, Ridker, Paul M, Rivadeneira, Fernando, Rudan, Igor, Ruokonen, Aimo, Samani, Nilesh, Fall, Tove, Scharnagl, Hubert, Seeley, Janet, Silander, Kaisa, Stančáková, Alena, Stirrups, Kathleen, Swift, Amy J, Tiret, Laurence, Uitterlinden, Andre G, van Pelt, L Joost, Vedantam, Sailaja, Gusto, Gaëlle, Wainwright, Nicholas, Wijmenga, Cisca, Wild, Sarah H, Willemsen, Gonneke, Wilsgaard, Tom, Wilson, James F, Young, Elizabeth H, Zhao, Jing Hua, Adair, Linda S, Arveiler, Dominique, Haessler, Jeffrey, Assimes, Themistocles L, Bandinelli, Stefania, Bennett, Franklyn, Bochud, Murielle, Boehm, Bernhard O, Boomsma, Dorret I, Borecki, Ingrid B, Bornstein, Stefan R, Bovet, Pascal, Burnier, Michel, Hall, Per, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chen, Yii-Der Ida, Collins, Francis S, Cooper, Richard S, Danesh, John, Dedoussis, George, de Faire, Ulf, Feranil, Alan B, Haller, Toomas, Ferrieres, Jean, Ferrucci, Luigi, Freimer, Nelson B, Gieger, Christian, Groop, Leif C, Gudnason, Vilmundur, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Hingorani, Aroon, Hallmans, Goran, Hofman, Albert, Hovingh, G Kees, Hsiung, Chao Agnes, Humphries, Steve E, Hunt, Steven C, Hveem, Kristian, Iribarren, Carlos, Jarvelin, Marjo-Riitta, Jula, Antti, Hartman, Catharina A, Kähönen, Mika, Kaprio, Jaakko, Kesäniemi, Antero, Kivimaki, Mika, Kooner, Jaspal S, Koudstaal, Peter J, Krauss, Ronald M, Kuh, Diana, Kuusisto, Johanna, Kyvik, Kirsten O, Hassinen, Maija, Laakso, Markku, Lakka, Timo A, Lind, Lars, Lindgren, Cecilia M, Martin, Nicholas G, März, Winfried, McCarthy, Mark I, McKenzie, Colin A, Meneton, Pierre, Metspalu, Andres, Moilanen, Leena, Morris, Andrew D, Munroe, Patricia B, Njølstad, Inger, Pedersen, Nancy L, Power, Chris, Pramstaller, Peter P, Price, Jackie F, Psaty, Bruce M, Quertermous, Thomas, Heard-Costa, Nancy L, Rauramaa, Rainer, Saleheen, Danish, Salomaa, Veikko, Sanghera, Dharambir K, Saramies, Jouko, Schwarz, Peter E H, Sheu, Wayne H-H, Shuldiner, Alan R, Siegbahn, Agneta, Spector, Tim D, Helmer, Quinta, Stefansson, Kari, Strachan, David P, Tayo, Bamidele O, Tremoli, Elena, Uusitupa, Matti, van Duijn, Cornelia M, Vollenweider, Peter, Wallentin, Lars, Wareham, Nicholas J, Hengstenberg, Christian, Whitfield, John B, Wolffenbuttel, Bruce H R, Ordovas, Jose M, Boerwinkle, Eric, Palmer, Colin N A, Thorsteinsdottir, Unnur, Chasman, Daniel I, Rotter, Jerome I, Franks, Paul W, Ripatti, Samuli, Holmen, Oddgeir, Cupples, L Adrienne, Sandhu, Manjinder S, Rich, Stephen S, Boehnke, Michael, Deloukas, Panos, Kathiresan, Sekar, Mohlke, Karen L, Ingelsson, Erik, Abecasis, Gonçalo R, Abecasis, Gonçalo, Hottenga, Jouke-Jan, Caulfield, Mark, Chasman, Dan, Ehret, Georg, Johnson, Andrew, Johnson, Louise, Larson, Martin, Levy, Daniel, James, Alan L, Munroe, Patricia, Newton-Cheh, Christopher, O'Reilly, Paul, Palmas, Walter, Psaty, Bruce, Rice, Kenneth, Smith, Albert, Snider, Harold, Tobin, Martin, Van Duijn, Cornelia, Jeff, Janina M, Verwoert, Germaine, Rice, Kenneth M, Johnson, Andrew D, Smith, Albert V, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, O'Reilly, Paul F, Amin, Najaf, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Jolley, Jennifer, Aulchenko, Yurii, Heath, Simon, Sõber, Siim, Parsa, Afshin, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Juliusdottir, Thorhildur, Peden, John F, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Kinnunen, Leena, Fox, Ervin R, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Koenig, Wolfgang, Whincup, Peter H, Liu, Yongmei, Shi, Gang, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Lehtimäki, Terho, Matullo, Giuseppe, Koskenvuo, Markku, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl G P, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Kratzer, Wolfgang, Braund, Peter S, Kuznetsova, Tatiana, Uiterwaal, Cuno S P M, Adeyemo, Adebowale, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, Laitinen, Jaana, Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Lamina, Claudia, Najjar, Samer, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian N M, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Leander, Karin, Clarke, Robert, Collins, Rory, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J. H., Bis, Joshua C, Viikari, Jorma, Lee, Nanette R, Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Lichtner, Peter, Frayling, Timothy M, Islam, Muhammad, Jafar, Tazeen H, Erdmann, Jeanette, Kulkarni, Smita R, Grässler, Jürgen, Howard, Philip, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Weder, Alan B, Lindström, Jaana, Sun, Yan V, Bergman, Richard N, Scott, Laura J, Stringham, Heather M, Peltonen, Leena, Vartiainen, Erkki, Brand, Stefan-Martin, Kutalik, Zoltán, Lo, Ken Sin, Staessen, Jan A, Wang, Thomas J, Burton, Paul R, Artigas, Maria Soler, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K, Rudock, Megan E, Lobbens, Stéphane, Heckbert, Susan R, Smith, Nicholas L, Wiggins, Kerri L, Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairajan, Tripathy, Vikal, Lorbeer, Roberto, Langefeld, Carl D, Rosengren, Annika, Thelle, Dag S, Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, Salako, Tunde, Iwai, Naoharu, Lu, Yingchang, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H-Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Raffel, Leslie J, Yao, Jie, O'Donnell, Chris, Schwartz, Stephen M, Ikram, M Arfan, Longstreth, W. T., Mosley, Thomas H, Seshadri, Sudha, Mahajan, Anubha, Shrine, Nick R G, Wain, Louise V, Morken, Mario A, Prokopenko, Inga, Zitting, Paavo, Cooper, Jackie A, Rasheed, Asif, Goel, Anuj, Watkins, Hugh, Bakker, Stephan J L, van Gilst, Wiek H, Janipalli, Charles S, Mani, K Radha, Yajnik, Chittaranjan S, McLachlan, Stela, Mattace-Raso, Francesco U S, Oostra, Ben A, Demirkan, Ayse, Lakatta, Edward G, Orru, Marco, Scuteri, Angelo, Ala-Korpela, Mika, Kangas, Antti J, Menni, Cristina, Soininen, Pasi, Tukiainen, Taru, Würtz, Peter, Ong, Rick Twee-Hee, Dörr, Marcus, Kroemer, Heyo K, Völker, Uwe, Völzke, Henry, Galan, Pilar, Merger, Sigrun, Hercberg, Serge, Lathrop, Mark, Zelenika, Diana, Zhai, Guangju, Meschia, James F, Nalls, Michael A, Sharma, Pankaj, Terzic, Janos, Kumar, M J Kranthi, Denniff, Matthew, Zukowska-Szczechowska, Ewa, Wagenknecht, Lynne E, Fowkes, F Gerald R, Charchar, Fadi J, Guo, Xiuqing, Milani, Lili, Rotimi, Charles, Bots, Michiel L, Brand, Eva, Samani, Nilesh J, Polasek, Ozren, Talmud, Philippa J, Nyberg, Fredrik, Laan, Maris, Moayyeri, Alireza, Palmer, Lyle J, van der Schouw, Yvonne T, Casas, Juan P, Vineis, Paolo, Raitakari, Olli, Ganesh, Santhi K, Wong, Tien Y, Tai, E Shyong, Monda, Keri L, Rao, Dabeeru C, Morris, Richard W, Dominiczak, Anna F, Marmot, Michael G, Miki, Tetsuro, Chandak, Giriraj R, Coresh, Josef, Navis, Gerjan, Han, Bok-Ghee, Zhu, Xiaofeng, Melander, Olle, Gyllensten, Ulf B, Mulas, Antonella, Wright, Alan F, Farrall, Martin, Elosua, Roberto, Soranzo, Nicole, Sijbrands, Eric J G, Altshuler, David, Müller, Gabriele, Rettig, Rainer, Uda, Manuela, Witteman, Jacqueline C M, Vasan, Ramachandran S, Larson, Martin G, Järvelin, Marjo-Riitta, Musk, Arthur W, Caulfield, Mark J, Alizadeh, Behrooz Z, de Boer, Rudolf A, Mägi, Reedik, Boezen, H Marike, Bruinenberg, Marcel, Franke, Lude, Hillege, Hans L, van der Klauw, Melanie M, Ormel, Johan, Postma, Dirkje S, Rosmalen, Judith G M, Nöthen, Markus M, Slaets, Joris P, Stolk, Ronald P, Scott, Robert 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EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Eriksson, J., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Peacock, M., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., van Meurs JB., Weedon, MN., Wichmann, H., Young, L., Bierut, LJ., Boyd, HA., Econs, MJ., Van T'Hooft, Ferdinand M., Njølstad, Inger, Abecasis, Gonçalo R., Barroso, Inɥ, The MIGEN Consortium, Investigator, Casari, GIORGIO NEVIO, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Landsteiner Laboratory, Clinical Haematology, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Locke, A, Kahali, B, Berndt, S, Justice, A, Pers, T, Day, F, Powell, C, Vedantam, S, Buchkovich, M, Yang, J, Croteau-Chonka, D, Esko, T, Fall, T, Ferreira, T, Gustafsson, S, Kutalik, Z, Luan, J, Magi, R, Randall, J, Winkler, T, Wood, A, Workalemahu, T, Faul, J, Smith, J, Zhao, J, Zhao, W, Chen, J, Fehrmann, R, Hedman, A, Karjalainen, J, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bolton, J, Bragg-Gresham, J, Buyske, S, Demirkan, A, Deng, G, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Goel, A, Gong, J, Jackson, A, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, 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J, Ramos, R, Williams, G, Nathan, D, Macrae, C, Berglund, G, Asselta, R, Duga, S, Spreafico, M, Daly, M, Nemesh, J, Korn, J, Surti, A, Gianniny, L, Parkin, M, Burtt, N, Gabriel, S, Wright, B, Ball, S, Schunkert, I, Linsel-Nitschke, P, Lieb, W, Fischer, M, Grosshennig, A, Preuss, M, Scholz, M, Chen, Z, Wilensky, R, Matthai, W, Qasim, A, Hakonarson, H, Devaney, J, Pichard, A, Kent, K, Satler, L, Lindsay, J, Waksman, R, Knouff, C, Scheffold, T, Berger, K, Huge, A, Martinelli, N, Olivieri, O, Corrocher, R, Xie, C, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, Di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Yang, T, Higashio, J, Williams, R, Nato, A, Ambite, J, Deelman, E, Manolio, T, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, 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Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Melzer, D, Newman, A, Pare, G, Peeters, P, Pop, V, Raikkonen, K, Salumets, A, Stacey, S, Starr, J, Stathopoulou, M, Styrkarsdottir, U, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Widen, E, Wijnands-Van Gent, C, Yerges-Armstrong, L, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Streeten, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Koller, D, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Couper, D, Easton, D, Foroud, T, Kilpelainen, T, Li, S, Murray, S, Ness, A, Northstone, K, Peacock, M, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segre, A, Sovio, U, Srinivasan, S, Tammesoo, M, van Meurs, J, Young, L, Bierut, L, Econs, M, The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GLGC, The ICBP, The MAGIC Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
- Subjects
Male ,LOCI ,Genome-wide association study ,Continental Population Groups/genetics ,VARIANTS ,Body Mass Index ,Insulin Secretion ,Insulin ,Age Factor ,Adiposity ,ddc:616 ,Adipogenesis ,Genetic Predisposition to Disease/genetics ,Synapse ,3. Good health ,Continental Population Group ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE ,ddc:500 ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Age Factors ,Continental Population Groups ,Energy Metabolism ,Europe ,Female ,Genetic Predisposition to Disease ,Glutamic Acid ,Humans ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Synapses ,Genome-Wide Association Study ,Multidisciplinary ,genetics [Adiposity] ,Human ,Socio-culturale ,genetics [Energy Metabolism] ,ta3111 ,genetic, body mass index, obesity ,SDG 3 - Good Health and Well-being ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Genetic variability ,Polymorphism ,GENOME-WIDE ASSOCIATION ,genetics [Adipogenesis] ,METAANALYSIS ,Genetic association ,Adipogenesi ,genetics [Quantitative Trait Loci] ,ta1184 ,metabolism [Glutamic Acid] ,ta1182 ,PATHWAYS ,metabolism [Synapses] ,ta3121 ,medicine.disease ,metabolism [Insulin] ,Adiposity/genetics ,Clinical Medicine ,Quantitative Trait Loci/genetics ,Body mass index ,HUMAN HEIGHT ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Synapses/metabolism ,Medizin ,Obesity/genetics ,Bioinformatics ,genetic basis ,Obesity/metabolism ,genetics [Obesity] ,body mass index (BMI) ,genetics [Genetic Predisposition to Disease] ,ethnology [Europe] ,2. Zero hunger ,Genetics ,ARCHITECTURE ,Genetics of obesity ,Medicine (all) ,Single Nucleotide ,Polymorphism, Single Nucleotide/genetics ,Insulin/metabolism/secretion ,Glutamic Acid/metabolism ,genetics [Polymorphism, Single Nucleotide] ,EXPRESSION ,Insulin/metabolism ,PROVIDES INSIGHTS ,genetics [Racial Groups] ,Biology ,Obesity/genetics/metabolism ,Europe/ethnology ,metabolism [Obesity] ,Mendelian randomization ,medicine ,Energy Metabolism/genetics ,body mass, genetic analysis, obesity ,Klinisk medicin - Abstract
Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
- Published
- 2015
14. New genetic loci link adipose and insulin biology to body fat distribution
- Author
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Olivier, Mychaleckyj, Josyf C, Gräßler, Jürgen, Grewal, Jagvir, Curhan, Gary, Hallan, Stein, Shlipak, Michael G, Hallmans, Goran, Kao, W. H. 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Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Dept. Atherosclerose, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), Department of Public Health & Primary Care, University of Cambridge [UK] (CAM), Department of cardiology, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, Department of Internal Medicine, University of Pisa - Università di Pisa, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Health Sciences Research Institute, Warwick, Department of Nephrology, University Medical Center, University of Groningen, Institute of Genetic Epidemiology, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, University of Iceland [Reykjavik], Executive Board, Polycystic Kidney Disease Charity (PKD Charity)-Ciliopathy Alliance-International Alliance, Department of Zoology, University of Otago [Dunedin, Nouvelle-Zélande], Institute for Community Medicine, Department Epidemiology of Health Care and Community Health, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, 5 University Street, Centre for Paediatric Epidemiology and Biostatistics, University College of London [London] (UCL), MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, Unit for Molecular Epidemiology, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Epidemiology and Biostatistics, Department of Life Course and Services, National Institute for Health and Welfare [Helsinki], Department of Epidemiology and Public Health, Queen's University [Belfast] (QUB), Interdisciplinary Center of Clinical Research, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, University of Hawai‘i [Mānoa] (UHM), Department of Clinical Chemistry, University of Tampere [Finland]-Tampere University Hospital, Chronic Disease Epidemiology and Prevention Unit, Université Laval [Québec] (ULaval), Centre for Bone and Arthritis Research, University of Gothenburg (GU)-Institute of Medicine, Interdisciplinary Center for Psychiatric Epidemiology, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Department of Clinical Physiology, Turku University Hospital (TYKS), Brigham and Women's Hospital [Boston], Department of Chronic Disease Prevention, Department of Cardiovascular Sciences [Leicester], University of Leicester, Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Maastricht University [Maastricht], Institute of Social and Preventive Medicine, Lausanne University Hospital, Carl Gustav Carus University Hospital, Recherches en Psychopathologie, nouveaux symptômes et lien social (EA 4050), Université de Poitiers-Université de Brest (UBO)-Université Catholique de l'Ouest (UCO)-Université de Rennes 2 (UR2), Institut de biologie de Lille - UMS 3702 (IBL), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Department of child and adolescent psychiatry, Institute for Medical Informatics, Biometry, and Epidemiology, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Peter MacCallum Cancer Center, Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital [Boston], Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
- Subjects
Adipose Tissue/metabolism ,Male ,genetic association ,subcutaneous fat ,Transcription, Genetic ,Adipocytes ,Adipogenesis ,Adipose Tissue ,Age Factors ,Body Mass Index ,Continental Population Groups ,Epigenesis, Genetic ,Europe ,Female ,Genome, Human ,Humans ,Insulin ,Insulin Resistance ,Models, Biological ,Neovascularization, Physiologic ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Sex Characteristics ,Waist-Hip Ratio ,Body Fat Distribution ,Genome-Wide Association Study ,Multidisciplinary ,Insulin Resistance/genetics ,Genome-wide association study ,Continental Population Groups/genetics ,genetic analysis ,heritability ,gene cluster ,Science::Biological sciences::Human anatomy and physiology [DRNTU] ,0302 clinical medicine ,high density lipoprotein cholesterol ,Models ,genetics [Insulin Resistance] ,histone modification ,Age Factor ,insulin receptor ,0303 health sciences ,Adipocyte ,Human/genetics ,CARDIOGRAMplusC4D Consortium ,ADIPOGENIC DIFFERENTIATION ,genetic correlation ,body fat ,Continental Population Group ,priority journal ,5 trisphosphate 3 phosphatase ,GEFOS Consortium ,meta analysis (topic) ,Science & Technology - Other Topics ,ddc:500 ,transcription regulation ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Human ,medicine.medical_specialty ,Waist ,phosphatidylinositol 3 ,European ,ta3111 ,genetic regulation ,Article ,developmental biology ,03 medical and health sciences ,MAGIC Investigators ,transcription initiation site ,SDG 3 - Good Health and Well-being ,Genetic ,genomics ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Physiologic ,genetics [Adipogenesis] ,Adipocytes/metabolism ,Europe/ethnology ,Genome, Human/genetics ,Insulin/metabolism ,Neovascularization, Physiologic/genetics ,Obesity/genetics ,Polymorphism, Single Nucleotide/genetics ,Quantitative Trait Loci/genetics ,Transcription, Genetic/genetics ,Genetic/genetics ,Adipogenesi ,Science & Technology ,adiponectin ,[ SDV ] Life Sciences [q-bio] ,vasculotropin ,genetics [Quantitative Trait Loci] ,ta1184 ,Racial Groups ,ta1182 ,gene mapping ,ta3121 ,triacylglycerol blood level ,medicine.disease ,Biological ,major clinical study ,amino acid sequence ,metabolism [Insulin] ,Endocrinology ,metabolism [Adipocytes] ,genetic loci, insulin, body fat ,GLGC ,International Endogene Consortium ,metabolism [Adipose Tissue] ,Body mass index ,HUMAN HEIGHT ,Epigenesis ,LifeLines Cohort Study ,ReproGen Consortium ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,tissue level ,Physiologic/genetics ,[SDV]Life Sciences [q-bio] ,Medizin ,Adipose tissue ,low density lipoprotein cholesterol ,PAGE Consortium ,COMMON SNPS ,angiogenesis ,Waist–hip ratio ,genetics [Obesity] ,MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,single nucleotide polymorphism ,fat ,genetic variability ,molecular biology ,body mass index (BMI) ,ethnology [Europe] ,peroxisome proliferator activated receptor ,2. Zero hunger ,Genetics ,Genome ,Single Nucleotide ,waist circumference ,insulin ,phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase ,triacylglycerol ,vasculotropin, developmental biology ,gene expression ,genome ,numerical model, adipocyte ,adipose tissue ,body fat distribution ,body mass ,female ,gene locus ,gene structure ,hip circumference ,human ,insulin resistance ,lipoprotein blood level ,male ,obesity ,protein protein interaction ,sex difference ,waist hip ratio ,Multidisciplinary Sciences ,genetics [Transcription, Genetic] ,genetics [Polymorphism, Single Nucleotide] ,ADIPOGen Consortium ,genetics [Neovascularization, Physiologic] ,Transcription ,SUSCEPTIBILITY LOCI ,General Science & Technology ,ICBP ,030209 endocrinology & metabolism ,Biology ,adipocyte ,MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,MESENCHYMAL STEM-CELLS ,GENIE Consortium ,SEXUAL-DIMORPHISM ,Insulin resistance ,Internal medicine ,medicine ,genetics [Genome, Human] ,ABDOMINAL ADIPOSITY ,Neovascularization ,030304 developmental biology ,FALSE DISCOVERY ,CKDGen Consortium ,Sex Characteristic ,MuTHER Consortium ,numerical model - Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
- Published
- 2015
15. Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research
- Author
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Spjuth, Ola, Krestyaninova, Maria, Hastings, Janna, Shen, Huei-Yi, Heikkinen, Jani, Waldenberger, Melanie, Langhammer, Arnulf, Ladenvall, Claes, Esko, Tõnu, Persson, Mats-Åke, Heggland, Jon, Dietrich, Joern, Ose, Sandra, Gieger, Christian, Ried, Janina S, Peters, Annette, Fortier, Isabel, de Geus, Eco Jc, Klovins, Janis, Zaharenko, Linda, Willemsen, Gonneke, Hottenga, Jouke-Jan, Litton, Jan-Eric, Karvanen, Juha, Boomsma, Dorret I, Groop, Leif, Rung, Johan, Palmgren, Juni, Pedersen, Nancy L, McCarthy, Mark I, van Duijn, Cornelia M, Hveem, Kristian, Metspalu, Andres, Ripatti, Samuli, Prokopenko, Inga, Harris, Jennifer R, Spjuth, Ola, Krestyaninova, Maria, Hastings, Janna, Shen, Huei-Yi, Heikkinen, Jani, Waldenberger, Melanie, Langhammer, Arnulf, Ladenvall, Claes, Esko, Tõnu, Persson, Mats-Åke, Heggland, Jon, Dietrich, Joern, Ose, Sandra, Gieger, Christian, Ried, Janina S, Peters, Annette, Fortier, Isabel, de Geus, Eco Jc, Klovins, Janis, Zaharenko, Linda, Willemsen, Gonneke, Hottenga, Jouke-Jan, Litton, Jan-Eric, Karvanen, Juha, Boomsma, Dorret I, Groop, Leif, Rung, Johan, Palmgren, Juni, Pedersen, Nancy L, McCarthy, Mark I, van Duijn, Cornelia M, Hveem, Kristian, Metspalu, Andres, Ripatti, Samuli, Prokopenko, Inga, and Harris, Jennifer R
- Abstract
A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate global searching of available samples for research. The use cases include the ENGAGE (European Network for Genetic and Genomic Epidemiology) consortium comprising at least 39 cohorts, the SUMMIT (surrogate markers for micro- and macro-vascular hard endpoints for innovative diabetes tools) consortium and a pilot for data integration between a Swedish clinical health registry and a biobank. We used the Sample avAILability (SAIL) method for data linking: first, created harmonised variables and then annotated and made searchable information on the number of specimens available in individual biobanks for various phenotypic categories. By operating on this categorised availability data we sidestep many obstacles related to privacy that arise when handling real values and show that harmonised and annotated records about data availability across disparate biomedical archives provide a key methodological advance in pre-analysis exchange of information between biobanks, that is, during the project planning phase., De två första författarna delar förstaförfattarskapet.
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- 2016
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16. Differential methylation of the TRPA1 promoter in pain sensitivity
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Bell, J.T., Loomis, A.K., Butcher, L.M., Gao, F., Zhang, B., Hyde, C.L., Sun, J., Wu, H., Ward, K., Harris, J., Scollen, S., Davies, M.N., Schalkwyk, L.C., Mill, J., Ahmadi, Kourosh R., Ainali, Chrysanthi, Barrett, Amy, Bataille, Veronique, Bell, Jordana T., Buil, Alfonso, Deloukas, Panos, Dermitzakis, Emmanoil T., Dimas, Antigone S., Durbin, Richard, Glass, Daniel, Grundberg, Elin, Hassanali, Neelam, Hedman, Asa K., Ingle, Catherine, Knowles, David, Krestyaninova, Maria, Lindgren, Cecilia M., Lowe, Christopher E., McCarthy, Mark I., Meduri, Eshwar, di Meglio, Paola, Min, Josine L., Montgomery, Stephen B., Nestle, Frank O., Nica, Alexandra C., Nisbet, James, O’Rahilly, Stephen, Parts, Leopold, Potter, Simon, Sekowska, Magdalena, Shin, So-Youn, Small, Kerrin S., Soranzo, Nicole, Spector, Tim D., Surdulescu, Gabriela, Travers, Mary E., Tsaprouni, Loukia, Tsoka, Sophia, Wilk, Alicja, Yang, Tsun-Po, Zondervan, Krina T., Williams, F.M.K., Li, N., Deloukas, P., Beck, S., McMahon, S.B., Wang, J., John, S.L., and Spector, T.D.
- Subjects
Male ,Candidate gene ,Gene Expression ,General Physics and Astronomy ,Genome-wide association study ,Bioinformatics ,Epigenesis, Genetic ,ACTIVATION ,Transient Receptor Potential Channels ,0302 clinical medicine ,Promoter Regions, Genetic ,DNA METHYLATION ,TRPA1 Cation Channel ,Aged, 80 and over ,Genetics ,SITES ,0303 health sciences ,Multidisciplinary ,Chronic pain ,BIPOLAR DISORDER ,Methylation ,Middle Aged ,3. Good health ,Hyperalgesia ,DNA methylation ,Female ,SUSCEPTIBILITY LOCI ,Nerve Tissue Proteins ,Biology ,INDIVIDUAL-DIFFERENCES ,Article ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,medicine ,Humans ,Methylated DNA immunoprecipitation ,Epigenetics ,GENOME-WIDE ASSOCIATION ,METAANALYSIS ,Aged ,030304 developmental biology ,HEAT-PAIN ,Twins, Monozygotic ,General Chemistry ,DNA Methylation ,medicine.disease ,Differentially methylated regions ,Case-Control Studies ,Calcium Channels ,030217 neurology & neurosurgery ,RESPONSES ,Genome-Wide Association Study - Abstract
Chronic pain is a global public health problem, but the underlying molecular mechanisms are not fully understood. Here we examine genome-wide DNA methylation, first in 50 identical twins discordant for heat pain sensitivity and then in 50 further unrelated individuals. Whole-blood DNA methylation was characterized at 5.2 million loci by MeDIP sequencing and assessed longitudinally to identify differentially methylated regions associated with high or low pain sensitivity (pain DMRs). Nine meta-analysis pain DMRs show robust evidence for association (false discovery rate 5%) with the strongest signal in the pain gene TRPA1 (P=1.2 × 10−13). Several pain DMRs show longitudinal stability consistent with susceptibility effects, have similar methylation levels in the brain and altered expression in the skin. Our approach identifies epigenetic changes in both novel and established candidate genes that provide molecular insights into pain and may generalize to other complex traits., Genetically identical twins provide a valuable resource to identify epigenetic factors associated with complex traits. Here the authors adopt this approach and find that differential methylation of the pain gene TRPA1 is associated with pain sensitivity in humans.
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- 2014
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17. Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research.
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Spjuth, Ola, Krestyaninova, Maria, Hastings, Janna, Shen, Huei-Yi, Heikkinen, Jani, Waldenberger, Melanie, Langhammer, Arnulf, Ladenvall, Claes, Esko, Tõnu, Persson, Mats-Åke, Heggland, Jon, Dietrich, Joern, Ose, Sandra, Gieger, Christian, Ried, Janina S, Peters, Annette, Fortier, Isabel, de Geus, Eco Jc, Klovins, Janis, Zaharenko, Linda, Willemsen, Gonneke, Hottenga, Jouke-Jan, Litton, Jan-Eric, Karvanen, Juha, Boomsma, Dorret I, Groop, Leif, Rung, Johan, Palmgren, Juni, Pedersen, Nancy L, McCarthy, Mark I, van Duijn, Cornelia M, Hveem, Kristian, Metspalu, Andres, Ripatti, Samuli, Prokopenko, Inga, Harris, Jennifer R, Spjuth, Ola, Krestyaninova, Maria, Hastings, Janna, Shen, Huei-Yi, Heikkinen, Jani, Waldenberger, Melanie, Langhammer, Arnulf, Ladenvall, Claes, Esko, Tõnu, Persson, Mats-Åke, Heggland, Jon, Dietrich, Joern, Ose, Sandra, Gieger, Christian, Ried, Janina S, Peters, Annette, Fortier, Isabel, de Geus, Eco Jc, Klovins, Janis, Zaharenko, Linda, Willemsen, Gonneke, Hottenga, Jouke-Jan, Litton, Jan-Eric, Karvanen, Juha, Boomsma, Dorret I, Groop, Leif, Rung, Johan, Palmgren, Juni, Pedersen, Nancy L, McCarthy, Mark I, van Duijn, Cornelia M, Hveem, Kristian, Metspalu, Andres, Ripatti, Samuli, Prokopenko, Inga, and Harris, Jennifer R
- Abstract
A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate global searching of available samples for research. The use cases include the ENGAGE (European Network for Genetic and Genomic Epidemiology) consortium comprising at least 39 cohorts, the SUMMIT (surrogate markers for micro- and macro-vascular hard endpoints for innovative diabetes tools) consortium and a pilot for data integration between a Swedish clinical health registry and a biobank. We used the Sample avAILability (SAIL) method for data linking: first, created harmonised variables and then annotated and made searchable information on the number of specimens available in individual biobanks for various phenotypic categories. By operating on this categorised availability data we sidestep many obstacles related to privacy that arise when handling real values and show that harmonised and annotated records about data availability across disparate biomedical archives provide a key methodological advance in pre-analysis exchange of information between biobanks, that is, during the project planning phase.European Journal of Human Genetics advance online publication, 26 August 2015; doi:10.1038/ejhg.2015.165.
- Published
- 2015
18. Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research
- Author
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Spjuth, Ola, primary, Krestyaninova, Maria, additional, Hastings, Janna, additional, Shen, Huei-Yi, additional, Heikkinen, Jani, additional, Waldenberger, Melanie, additional, Langhammer, Arnulf, additional, Ladenvall, Claes, additional, Esko, Tõnu, additional, Persson, Mats-Åke, additional, Heggland, Jon, additional, Dietrich, Joern, additional, Ose, Sandra, additional, Gieger, Christian, additional, Ried, Janina S, additional, Peters, Annette, additional, Fortier, Isabel, additional, de Geus, Eco JC, additional, Klovins, Janis, additional, Zaharenko, Linda, additional, Willemsen, Gonneke, additional, Hottenga, Jouke-Jan, additional, Litton, Jan-Eric, additional, Karvanen, Juha, additional, Boomsma, Dorret I, additional, Groop, Leif, additional, Rung, Johan, additional, Palmgren, Juni, additional, Pedersen, Nancy L, additional, McCarthy, Mark I, additional, van Duijn, Cornelia M, additional, Hveem, Kristian, additional, Metspalu, Andres, additional, Ripatti, Samuli, additional, Prokopenko, Inga, additional, and Harris, Jennifer R, additional
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- 2015
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19. Variants in the melatonin receptor 1B gene (MTNR1B) influence fasting glucose levels
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Prokopenko, Inga, Langenberg, Claudia, Florez, Jose C., Saxena, Richa, Soranzo, Nicole, Thorleifsson, Gudmar, Loos, Ruth J.F., Manning, Alisa K., Jackson, Anne U., Aulchenko, Yurii, Potter, Simon C., Erdos, Michael R., Sanna, Serena, Hottenga, Jouke-Jan, Wheeler, Eleanor, Kaakinen, Marika, Lyssenko, Valeriya, Chen, Wei-Min, Ahmadi, Kourosh, Beckmann, Jacques S., Bergman, Richard N., Bochud, Murielle, Bonnycastle, Lori L., Buchanan, Thomas A., Cao, Antonio, Cervino, Alessandra, Coin, Lachlan, Collins, Francis S., Crisponi, Laura, de Geus, Eco JC, Dehghan, Abbas, Deloukas, Panos, Doney, Alex S F, Elliott, Paul, Freimer, Nelson, Gateva, Vesela, Herder, Christian, Hofman, Albert, Hughes, Thomas E., Hunt, Sarah, Illig, Thomas, Inouye, Michael, Isomaa, Bo, Johnson, Toby, Kong, Augustine, Krestyaninova, Maria, Kuusisto, Johanna, Laakso, Markku, Lim, Noha, Lindblad, Ulf, Lindgren, Cecilia M., McCann, Owen T., Mohlke, Karen L., Morris, Andrew D, Naitza, Silvia, Orrù, Marco, Palmer, Colin N A, Pouta, Anneli, Randall, Joshua, Rathmann, Wolfgang, Saramies, Jouko, Scheet, Paul, Scott, Laura J., Scuteri, Angelo, Sharp, Stephen, Sijbrands, Eric, Smit, Jan H., Song, Kijoung, Steinthorsdottir, Valgerdur, Stringham, Heather M., Tuomi, Tiinamaija, Tuomilehto, Jaakko, Uitterlinden, André G., Voight, Benjamin F., Waterworth, Dawn, Wichmann, H.-Erich, Willemsen, Gonneke, Witteman, Jacqueline CM, Yuan, Xin, Zhao, Jing Hua, Zeggini, Eleftheria, Schlessinger, David, Sandhu, Manjinder, Boomsma, Dorret I, Uda, Manuela, Spector, Tim D., Penninx, Brenda WJH, Altshuler, David, Vollenweider, Peter, Jarvelin, Marjo Riitta, Lakatta, Edward, Waeber, Gerard, Fox, Caroline S., Peltonen, Leena, Groop, Leif C., Mooser, Vincent, Cupples, L. Adrienne, Thorsteinsdottir, Unnur, Boehnke, Michael, Barroso, Inês, Van Duijn, Cornelia, Dupuis, Josée, Watanabe, Richard M., Stefansson, Kari, McCarthy, Mark I., Wareham, Nicholas J., Meigs, James B., and Abecasis, Goncalo R.
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Blood Glucose ,Diabetes Mellitus, Type 2 ,Meta-Analysis as Topic ,Receptor, Melatonin, MT2 ,Case-Control Studies ,Quantitative Trait Loci ,Receptors, Melatonin ,Humans ,Genetic Predisposition to Disease ,Fasting ,Polymorphism, Single Nucleotide ,Article ,Genome-Wide Association Study - Abstract
To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase of 0.07 (95% CI = 0.06-0.08) mmol/l in fasting glucose levels (P = 3.2 x 10(-50)) and reduced beta-cell function as measured by homeostasis model assessment (HOMA-B, P = 1.1 x 10(-15)). The same allele was associated with an increased risk of type 2 diabetes (odds ratio = 1.09 (1.05-1.12), per G allele P = 3.3 x 10(-7)) in a meta-analysis of 13 case-control studies totaling 18,236 cases and 64,453 controls. Our analyses also confirm previous associations of fasting glucose with variants at the G6PC2 (rs560887, P = 1.1 x 10(-57)) and GCK (rs4607517, P = 1.0 x 10(-25)) loci.
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- 2008
20. Global Analysis of DNA Methylation Variation in Adipose Tissue from Twins Reveals Links to Disease-Associated Variants in Distal Regulatory Elements
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Grundberg, Elin, primary, Meduri, Eshwar, additional, Sandling, Johanna K., additional, Hedman, Åsa K., additional, Keildson, Sarah, additional, Buil, Alfonso, additional, Busche, Stephan, additional, Yuan, Wei, additional, Nisbet, James, additional, Sekowska, Magdalena, additional, Wilk, Alicja, additional, Barrett, Amy, additional, Small, Kerrin S., additional, Ge, Bing, additional, Caron, Maxime, additional, Shin, So-Youn, additional, Lathrop, Mark, additional, Dermitzakis, Emmanouil T., additional, McCarthy, Mark I., additional, Spector, Timothy D., additional, Bell, Jordana T., additional, Deloukas, Panos, additional, Ahmadi, Kourosh R., additional, Ainali, Chrysanthi, additional, Bataille, Veronique, additional, Dimas, Antigone S., additional, Durbin, Richard, additional, Glass, Daniel, additional, Grundberg, Elin, additional, Hassanali, Neelam, additional, Ingle, Catherine, additional, Knowles, David, additional, Krestyaninova, Maria, additional, Lindgren, Cecilia M., additional, Lowe, Christopher E., additional, di Meglio, Paola, additional, Min, Josine L., additional, Montgomery, Stephen B., additional, Nestle, Frank O., additional, Nica, Alexandra C., additional, O’Rahilly, Stephen, additional, Parts, Leopold, additional, Potter, Simon, additional, Sandling, Johanna, additional, Soranzo, Nicole, additional, Spector, Tim D., additional, Surdulescu, Gabriela, additional, Travers, Mary E., additional, Tsaprouni, Loukia, additional, Tsoka, Sophia, additional, Yang, Tsun-Po, additional, and Zondervan, Krina T., additional
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- 2013
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21. InterPro: an integrated documentation resource for protein families, domains and functional sites
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Mulder, Nicola J, Apweiler, Rolf, Attwood, Terri K, Bairoch, Amos, Bateman, Alex, Binns, David, Biswas, Margaret, Bradley, Paul, Bork, Peer, Bucher, Phillip, Copley, Richard, Courcelle, Emmanuel, Durbin, Richard, Falquet, Laurent, Fleischmann, Wolfgang, GOUZY, Jerome, Griffith-Jones, Sam, Haft, Daniel, Hermjakob, Henning, Hulo, Nicolas, Kahn, Daniel, Kanapin, Alexander, Krestyaninova, Maria, Lopez, Rodrigo, Letunic, Ivica, Orchard, Sandra, Pagni, Marco, Peyruc, David, Ponting, Chris P, SERVANT, Florence, Sigrist, Christian J A, InterPro Consortium, ., Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Bioinformatique, phylogénie et génomique évolutive (BPGE), Département PEGASE [LBBE] (PEGASE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), and ProdInra, Migration
- Subjects
InterPro ,[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT] ,Protein family ,Simple Modular Architecture Research Tool ,Computational biology ,Biology ,PROSITE ,computer.software_genre ,DNA sequencing ,03 medical and health sciences ,TIGRFAMs ,Humans ,Regular expression ,Databases, Protein ,Molecular Biology ,[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM] ,030304 developmental biology ,Information Services ,Internet ,0303 health sciences ,030302 biochemistry & molecular biology ,Computational Biology ,Proteins ,Accession number (bioinformatics) ,Data mining ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,computer ,Algorithms ,Software ,Information Systems - Abstract
The exponential increase in the submission of nucleotide sequences to the nucleotide sequence database by genome sequencing centres has resulted in a need for rapid, automatic methods for classification of the resulting protein sequences. There are several signature and sequence cluster-based methods for protein classification, each resource having distinct areas of optimum application owing to the differences in the underlying analysis methods. In recognition of this, InterPro was developed as an integrated documentation resource for protein families, domains and functional sites, to rationalise the complementary efforts of the individual protein signature database projects. The member databases - PRINTS, PROSITE, Pfam, ProDom, SMART and TIGRFAMs - form the InterPro core. Related signatures from each member database are unified into single InterPro entries. Each InterPro entry includes a unique accession number, functional descriptions and literature references, and links are made back to the relevant member database(s). Release 4.0 of InterPro (November 2001) contains 4,691 entries, representing 3,532 families, 1,068 domains, 74 repeats and 15 sites of post-translational modification (PTMs) encoded by different regular expressions, profiles, fingerprints and hidden Markov models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (2,141,621 InterPro hits from 586,124 SWISS-PROT and TrEMBL protein sequences). The database is freely accessible for text- and sequence-based searches.
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- 2002
22. Mapping cis- and trans-regulatory effects across multiple tissues in twins.
- Author
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Grundberg, Elin, Small, Kerrin S, Hedman, Åsa K, Nica, Alexandra C, Buil, Alfonso, Keildson, Sarah, Bell, Jordana T, Yang, Tsun-Po, Meduri, Eshwar, Barrett, Amy, Nisbett, James, Sekowska, Magdalena, Wilk, Alicja, Shin, So-Youn, Glass, Daniel, Travers, Mary, Min, Josine L, Ring, Sue, Ho, Karen, Thorleifsson, Gudmar, Kong, Augustine, Thorsteindottir, Unnur, Ainali, Chrysanthi, Dimas, Antigone S, Hassanali, Neelam, Ingle, Catherine, Knowles, David, Krestyaninova, Maria, Lowe, Christopher E, Di Meglio, Paola, Montgomery, Stephen B, Parts, Leopold, Potter, Simon, Surdulescu, Gabriela, Tsaprouni, Loukia, Tsoka, Sophia, Bataille, Veronique, Durbin, Richard, Nestle, Frank O, O'Rahilly, Stephen, Soranzo, Nicole, Lindgren, Cecilia M, Zondervan, Krina T, Ahmadi, Kourosh R, Schadt, Eric E, Stefansson, Kari, Smith, George Davey, McCarthy, Mark I, Deloukas, Panos, Dermitzakis, Emmanouil T, Spector, Tim D, Grundberg, Elin, Small, Kerrin S, Hedman, Åsa K, Nica, Alexandra C, Buil, Alfonso, Keildson, Sarah, Bell, Jordana T, Yang, Tsun-Po, Meduri, Eshwar, Barrett, Amy, Nisbett, James, Sekowska, Magdalena, Wilk, Alicja, Shin, So-Youn, Glass, Daniel, Travers, Mary, Min, Josine L, Ring, Sue, Ho, Karen, Thorleifsson, Gudmar, Kong, Augustine, Thorsteindottir, Unnur, Ainali, Chrysanthi, Dimas, Antigone S, Hassanali, Neelam, Ingle, Catherine, Knowles, David, Krestyaninova, Maria, Lowe, Christopher E, Di Meglio, Paola, Montgomery, Stephen B, Parts, Leopold, Potter, Simon, Surdulescu, Gabriela, Tsaprouni, Loukia, Tsoka, Sophia, Bataille, Veronique, Durbin, Richard, Nestle, Frank O, O'Rahilly, Stephen, Soranzo, Nicole, Lindgren, Cecilia M, Zondervan, Krina T, Ahmadi, Kourosh R, Schadt, Eric E, Stefansson, Kari, Smith, George Davey, McCarthy, Mark I, Deloukas, Panos, Dermitzakis, Emmanouil T, and Spector, Tim D
- Abstract
Sequence-based variation in gene expression is a key driver of disease risk. Common variants regulating expression in cis have been mapped in many expression quantitative trait locus (eQTL) studies, typically in single tissues from unrelated individuals. Here, we present a comprehensive analysis of gene expression across multiple tissues conducted in a large set of mono- and dizygotic twins that allows systematic dissection of genetic (cis and trans) and non-genetic effects on gene expression. Using identity-by-descent estimates, we show that at least 40% of the total heritable cis effect on expression cannot be accounted for by common cis variants, a finding that reveals the contribution of low-frequency and rare regulatory variants with respect to both transcriptional regulation and complex trait susceptibility. We show that a substantial proportion of gene expression heritability is trans to the structural gene, and we identify several replicating trans variants that act predominantly in a tissue-restricted manner and may regulate the transcription of many genes.
- Published
- 2012
- Full Text
- View/download PDF
23. A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection
- Author
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Nicholson, George, Rantalainen, Mattias, Li, Jia V, Maher, Anthony D, Malmodin, Daniel, Ahmadi, Kourosh R, Faber, Johan H, Barrett, Amy, Min, Josine L, Rayner, N William, Toft, Henrik, Krestyaninova, Maria, Viksna, Juris, Neogi, Sudeshna Guha, Dumas, Marc-Emmanuel, Sarkans, Ugis, Donnelly, Peter, Illig, Thomas, Adamski, Jerzy, Suhre, Karsten, Allen, Maxine, Zondervan, Krina T, Spector, Tim D, Nicholson, Jeremy K, Lindon, John C, Baunsgaard, Dorrit, Holmes, Elaine, McCarthy, Mark I, Holmes, Chris C, Nicholson, George, Rantalainen, Mattias, Li, Jia V, Maher, Anthony D, Malmodin, Daniel, Ahmadi, Kourosh R, Faber, Johan H, Barrett, Amy, Min, Josine L, Rayner, N William, Toft, Henrik, Krestyaninova, Maria, Viksna, Juris, Neogi, Sudeshna Guha, Dumas, Marc-Emmanuel, Sarkans, Ugis, Donnelly, Peter, Illig, Thomas, Adamski, Jerzy, Suhre, Karsten, Allen, Maxine, Zondervan, Krina T, Spector, Tim D, Nicholson, Jeremy K, Lindon, John C, Baunsgaard, Dorrit, Holmes, Elaine, McCarthy, Mark I, and Holmes, Chris C
- Abstract
We have performed a metabolite quantitative trait locus (mQTL) study of the 1H nuclear magnetic resonance spectroscopy (1H NMR) metabolome in humans, building on recent targeted knowledge of genetic drivers of metabolic regulation. Urine and plasma samples were collected from two cohorts of individuals of European descent, with one cohort comprised of female twins donating samples longitudinally. Sample metabolite concentrations were quantified by 1H NMR and tested for association with genome-wide single-nucleotide polymorphisms (SNPs). Four metabolites' concentrations exhibited significant, replicable association with SNP variation (8.6×10−11
- Published
- 2011
- Full Text
- View/download PDF
24. SAIL—a software system for sample and phenotype availability across biobanks and cohorts
- Author
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Gostev, Mikhail, primary, Fernandez-Banet, Julio, additional, Rung, Johan, additional, Dietrich, Joern, additional, Prokopenko, Inga, additional, Ripatti, Samuli, additional, McCarthy, Mark I., additional, Brazma, Alvis, additional, and Krestyaninova, Maria, additional
- Published
- 2010
- Full Text
- View/download PDF
25. Variants in MTNR1B influence fasting glucose levels
- Author
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Prokopenko, Inga, primary, Langenberg, Claudia, additional, Florez, Jose C, additional, Saxena, Richa, additional, Soranzo, Nicole, additional, Thorleifsson, Gudmar, additional, Loos, Ruth J F, additional, Manning, Alisa K, additional, Jackson, Anne U, additional, Aulchenko, Yurii, additional, Potter, Simon C, additional, Erdos, Michael R, additional, Sanna, Serena, additional, Hottenga, Jouke-Jan, additional, Wheeler, Eleanor, additional, Kaakinen, Marika, additional, Lyssenko, Valeriya, additional, Chen, Wei-Min, additional, Ahmadi, Kourosh, additional, Beckmann, Jacques S, additional, Bergman, Richard N, additional, Bochud, Murielle, additional, Bonnycastle, Lori L, additional, Buchanan, Thomas A, additional, Cao, Antonio, additional, Cervino, Alessandra, additional, Coin, Lachlan, additional, Collins, Francis S, additional, Crisponi, Laura, additional, de Geus, Eco J C, additional, Dehghan, Abbas, additional, Deloukas, Panos, additional, Doney, Alex S F, additional, Elliott, Paul, additional, Freimer, Nelson, additional, Gateva, Vesela, additional, Herder, Christian, additional, Hofman, Albert, additional, Hughes, Thomas E, additional, Hunt, Sarah, additional, Illig, Thomas, additional, Inouye, Michael, additional, Isomaa, Bo, additional, Johnson, Toby, additional, Kong, Augustine, additional, Krestyaninova, Maria, additional, Kuusisto, Johanna, additional, Laakso, Markku, additional, Lim, Noha, additional, Lindblad, Ulf, additional, Lindgren, Cecilia M, additional, McCann, Owen T, additional, Mohlke, Karen L, additional, Morris, Andrew D, additional, Naitza, Silvia, additional, Orrù, Marco, additional, Palmer, Colin N A, additional, Pouta, Anneli, additional, Randall, Joshua, additional, Rathmann, Wolfgang, additional, Saramies, Jouko, additional, Scheet, Paul, additional, Scott, Laura J, additional, Scuteri, Angelo, additional, Sharp, Stephen, additional, Sijbrands, Eric, additional, Smit, Jan H, additional, Song, Kijoung, additional, Steinthorsdottir, Valgerdur, additional, Stringham, Heather M, additional, Tuomi, Tiinamaija, additional, Tuomilehto, Jaakko, additional, Uitterlinden, André G, additional, Voight, Benjamin F, additional, Waterworth, Dawn, additional, Wichmann, H-Erich, additional, Willemsen, Gonneke, additional, Witteman, Jacqueline C M, additional, Yuan, Xin, additional, Zhao, Jing Hua, additional, Zeggini, Eleftheria, additional, Schlessinger, David, additional, Sandhu, Manjinder, additional, Boomsma, Dorret I, additional, Uda, Manuela, additional, Spector, Tim D, additional, Penninx, Brenda WJH, additional, Altshuler, David, additional, Vollenweider, Peter, additional, Jarvelin, Marjo Riitta, additional, Lakatta, Edward, additional, Waeber, Gerard, additional, Fox, Caroline S, additional, Peltonen, Leena, additional, Groop, Leif C, additional, Mooser, Vincent, additional, Cupples, L Adrienne, additional, Thorsteinsdottir, Unnur, additional, Boehnke, Michael, additional, Barroso, Inês, additional, Van Duijn, Cornelia, additional, Dupuis, Josée, additional, Watanabe, Richard M, additional, Stefansson, Kari, additional, McCarthy, Mark I, additional, Wareham, Nicholas J, additional, Meigs, James B, additional, and Abecasis, Gonçalo R, additional
- Published
- 2008
- Full Text
- View/download PDF
26. PASSIM – an open source software system for managing information in biomedical studies
- Author
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Viksna, Juris, primary, Celms, Edgars, additional, Opmanis, Martins, additional, Podnieks, Karlis, additional, Rucevskis, Peteris, additional, Zarins, Andris, additional, Barrett, Amy, additional, Neogi, Sudeshna Guha, additional, Krestyaninova, Maria, additional, McCarthy, Mark I, additional, Brazma, Alvis, additional, and Sarkans, Ugis, additional
- Published
- 2007
- Full Text
- View/download PDF
27. Standards for systems biology
- Author
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Brazma, Alvis, primary, Krestyaninova, Maria, additional, and Sarkans, Ugis, additional
- Published
- 2006
- Full Text
- View/download PDF
28. Requirements for semantic biobanks.
- Author
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Andrade, André Q, Kreuzthaler, Markus, Hastings, Janna, Krestyaninova, Maria, and Schulz, Stefan
- Published
- 2012
29. Requirements for Semantic Biobanks.
- Author
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Mantas, John, Andersen, Stig Kjær, Mazzoleni, Maria Christina, Blobel, Bernd, Quaglini, Silvana, Moen, Anne, Andrade, André Q., Kreuzthaler, Markus, Hastings, Janna, Krestyaninova, Maria, and Schulz, Stefan
- Abstract
World-wide availability of biobank samples is a great desideratum for biomedical researchers. We describe the use case of biobank information retrieval that requires the semantic descriptions of biobank samples and of clinical information. In addition we sketch the foundations of an ontology for biobanks, as a basis on which distributed biobank indexing and retrieval systems can be built. We advocate that a detailed and robust representation of this kind of information improves and allows complex queries that will certainly arise to explore the full potential of biobanks. [ABSTRACT FROM AUTHOR]
- Published
- 2012
30. Human metabolic profiles are stably controlled by genetic and environmental variation.
- Author
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Nicholson, George, Rantalainen, Mattias, Maher, Anthony D, Li, Jia V, Malmodin, Daniel, Ahmadi, Kourosh R, Faber, Johan H, Hallgrímsdóttir, Ingileif B, Barrett, Amy, Toft, Henrik, Krestyaninova, Maria, Viksna, Juris, Neogi, Sudeshna Guha, Dumas, Marc‐Emmanuel, Sarkans, Ugis, Silverman, Bernard W, Donnelly, Peter, Nicholson, Jeremy K, Allen, Maxine, and Zondervan, Krina T
- Abstract
1 H Nuclear Magnetic Resonance spectroscopy (1 H NMR) is increasingly used to measure metabolite concentrations in sets of biological samples for top‐down systems biology and molecular epidemiology. For such purposes, knowledge of the sources of human variation in metabolite concentrations is valuable, but currently sparse. We conducted and analysed a study to create such a resource. In our unique design, identical and non‐identical twin pairs donated plasma and urine samples longitudinally. We acquired1 H NMR spectra on the samples, and statistically decomposed variation in metabolite concentration into familial (genetic and common‐environmental), individual‐environmental, and longitudinally unstable components. We estimate that stable variation, comprising familial and individual‐environmental factors, accounts on average for 60% (plasma) and 47% (urine) of biological variation in1 H NMR‐detectable metabolite concentrations. Clinically predictive metabolic variation is likely nested within this stable component, so our results have implications for the effective design of biomarker‐discovery studies. We provide a power‐calculation method which reveals that sample sizes of a few thousand should offer sufficient statistical precision to detect1 H NMR‐based biomarkers quantifying predisposition to disease. [ABSTRACT FROM AUTHOR]- Published
- 2011
- Full Text
- View/download PDF
31. Towards reconstruction of gene networks from expression data by supervised learning
- Author
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Soinov, Lev A, Krestyaninova, Maria A, and Brazma, Alvis
- Abstract
Background: Microarray experiments are generating datasets that can help in reconstructing gene networks. One of the most important problems in network reconstruction is finding, for each gene in the network, which genes can affect it and how. We use a supervised learning approach to address this question by building decision-tree-related classifiers, which predict gene expression from the expression data of other genes. Results: We present algorithms that work for continuous expression levels and do not require a prioridiscretization. We apply our method to publicly available data for the budding yeast cell cycle. The obtained classifiers can be presented as simple rules defining gene interrelations. In most cases the extracted rules confirm the existing knowledge about cell-cycle gene expression, while hitherto unknown relationships can be treated as new hypotheses. Conclusions: All the relations between the considered genes are consistent with the facts reported in the literature. This indicates that the approach presented here is valid and that the resulting rules can be used as elements for building and explaining gene networks.
- Published
- 2002
- Full Text
- View/download PDF
32. Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research.
- Author
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Spjuth O, Krestyaninova M, Hastings J, Shen HY, Heikkinen J, Waldenberger M, Langhammer A, Ladenvall C, Esko T, Persson MÅ, Heggland J, Dietrich J, Ose S, Gieger C, Ried JS, Peters A, Fortier I, de Geus EJ, Klovins J, Zaharenko L, Willemsen G, Hottenga JJ, Litton JE, Karvanen J, Boomsma DI, Groop L, Rung J, Palmgren J, Pedersen NL, McCarthy MI, van Duijn CM, Hveem K, Metspalu A, Ripatti S, Prokopenko I, and Harris JR
- Subjects
- Information Storage and Retrieval ethics, Information Storage and Retrieval standards, Privacy, Biological Specimen Banks, Databases, Factual, Information Storage and Retrieval methods
- Abstract
A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate global searching of available samples for research. The use cases include the ENGAGE (European Network for Genetic and Genomic Epidemiology) consortium comprising at least 39 cohorts, the SUMMIT (surrogate markers for micro- and macro-vascular hard endpoints for innovative diabetes tools) consortium and a pilot for data integration between a Swedish clinical health registry and a biobank. We used the Sample avAILability (SAIL) method for data linking: first, created harmonised variables and then annotated and made searchable information on the number of specimens available in individual biobanks for various phenotypic categories. By operating on this categorised availability data we sidestep many obstacles related to privacy that arise when handling real values and show that harmonised and annotated records about data availability across disparate biomedical archives provide a key methodological advance in pre-analysis exchange of information between biobanks, that is, during the project planning phase.
- Published
- 2016
- Full Text
- View/download PDF
33. Mapping cis- and trans-regulatory effects across multiple tissues in twins.
- Author
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Grundberg E, Small KS, Hedman ÅK, Nica AC, Buil A, Keildson S, Bell JT, Yang TP, Meduri E, Barrett A, Nisbett J, Sekowska M, Wilk A, Shin SY, Glass D, Travers M, Min JL, Ring S, Ho K, Thorleifsson G, Kong A, Thorsteindottir U, Ainali C, Dimas AS, Hassanali N, Ingle C, Knowles D, Krestyaninova M, Lowe CE, Di Meglio P, Montgomery SB, Parts L, Potter S, Surdulescu G, Tsaprouni L, Tsoka S, Bataille V, Durbin R, Nestle FO, O'Rahilly S, Soranzo N, Lindgren CM, Zondervan KT, Ahmadi KR, Schadt EE, Stefansson K, Smith GD, McCarthy MI, Deloukas P, Dermitzakis ET, and Spector TD
- Subjects
- Adult, Aged, Aged, 80 and over, Female, Gene-Environment Interaction, Genetic Linkage, Humans, Lymphocytes metabolism, Middle Aged, Models, Genetic, Organ Specificity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Skin metabolism, Subcutaneous Fat metabolism, Chromosome Mapping, Gene Expression Regulation, Transcription, Genetic
- Abstract
Sequence-based variation in gene expression is a key driver of disease risk. Common variants regulating expression in cis have been mapped in many expression quantitative trait locus (eQTL) studies, typically in single tissues from unrelated individuals. Here, we present a comprehensive analysis of gene expression across multiple tissues conducted in a large set of mono- and dizygotic twins that allows systematic dissection of genetic (cis and trans) and non-genetic effects on gene expression. Using identity-by-descent estimates, we show that at least 40% of the total heritable cis effect on expression cannot be accounted for by common cis variants, a finding that reveals the contribution of low-frequency and rare regulatory variants with respect to both transcriptional regulation and complex trait susceptibility. We show that a substantial proportion of gene expression heritability is trans to the structural gene, and we identify several replicating trans variants that act predominantly in a tissue-restricted manner and may regulate the transcription of many genes.
- Published
- 2012
- Full Text
- View/download PDF
34. A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection.
- Author
-
Nicholson G, Rantalainen M, Li JV, Maher AD, Malmodin D, Ahmadi KR, Faber JH, Barrett A, Min JL, Rayner NW, Toft H, Krestyaninova M, Viksna J, Neogi SG, Dumas ME, Sarkans U, Donnelly P, Illig T, Adamski J, Suhre K, Allen M, Zondervan KT, Spector TD, Nicholson JK, Lindon JC, Baunsgaard D, Holmes E, McCarthy MI, and Holmes CC
- Subjects
- Acetyltransferases genetics, Acetyltransferases metabolism, Dimethylamines blood, Dimethylamines metabolism, Female, Haplotypes, Humans, Isobutyrates metabolism, Isobutyrates urine, Magnetic Resonance Spectroscopy, Methylamines metabolism, Methylamines urine, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Metabolic Networks and Pathways genetics, Metabolome genetics, Quantitative Trait Loci genetics, Selection, Genetic
- Abstract
We have performed a metabolite quantitative trait locus (mQTL) study of the (1)H nuclear magnetic resonance spectroscopy ((1)H NMR) metabolome in humans, building on recent targeted knowledge of genetic drivers of metabolic regulation. Urine and plasma samples were collected from two cohorts of individuals of European descent, with one cohort comprised of female twins donating samples longitudinally. Sample metabolite concentrations were quantified by (1)H NMR and tested for association with genome-wide single-nucleotide polymorphisms (SNPs). Four metabolites' concentrations exhibited significant, replicable association with SNP variation (8.6×10(-11)
- Published
- 2011
- Full Text
- View/download PDF
35. Variants in MTNR1B influence fasting glucose levels.
- Author
-
Prokopenko I, Langenberg C, Florez JC, Saxena R, Soranzo N, Thorleifsson G, Loos RJ, Manning AK, Jackson AU, Aulchenko Y, Potter SC, Erdos MR, Sanna S, Hottenga JJ, Wheeler E, Kaakinen M, Lyssenko V, Chen WM, Ahmadi K, Beckmann JS, Bergman RN, Bochud M, Bonnycastle LL, Buchanan TA, Cao A, Cervino A, Coin L, Collins FS, Crisponi L, de Geus EJ, Dehghan A, Deloukas P, Doney AS, Elliott P, Freimer N, Gateva V, Herder C, Hofman A, Hughes TE, Hunt S, Illig T, Inouye M, Isomaa B, Johnson T, Kong A, Krestyaninova M, Kuusisto J, Laakso M, Lim N, Lindblad U, Lindgren CM, McCann OT, Mohlke KL, Morris AD, Naitza S, Orrù M, Palmer CN, Pouta A, Randall J, Rathmann W, Saramies J, Scheet P, Scott LJ, Scuteri A, Sharp S, Sijbrands E, Smit JH, Song K, Steinthorsdottir V, Stringham HM, Tuomi T, Tuomilehto J, Uitterlinden AG, Voight BF, Waterworth D, Wichmann HE, Willemsen G, Witteman JC, Yuan X, Zhao JH, Zeggini E, Schlessinger D, Sandhu M, Boomsma DI, Uda M, Spector TD, Penninx BW, Altshuler D, Vollenweider P, Jarvelin MR, Lakatta E, Waeber G, Fox CS, Peltonen L, Groop LC, Mooser V, Cupples LA, Thorsteinsdottir U, Boehnke M, Barroso I, Van Duijn C, Dupuis J, Watanabe RM, Stefansson K, McCarthy MI, Wareham NJ, Meigs JB, and Abecasis GR
- Subjects
- Case-Control Studies, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 physiopathology, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Meta-Analysis as Topic, Quantitative Trait Loci genetics, Blood Glucose genetics, Fasting blood, Polymorphism, Single Nucleotide genetics, Receptor, Melatonin, MT2 genetics, Receptors, Melatonin genetics
- Abstract
To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase of 0.07 (95% CI = 0.06-0.08) mmol/l in fasting glucose levels (P = 3.2 x 10(-50)) and reduced beta-cell function as measured by homeostasis model assessment (HOMA-B, P = 1.1 x 10(-15)). The same allele was associated with an increased risk of type 2 diabetes (odds ratio = 1.09 (1.05-1.12), per G allele P = 3.3 x 10(-7)) in a meta-analysis of 13 case-control studies totaling 18,236 cases and 64,453 controls. Our analyses also confirm previous associations of fasting glucose with variants at the G6PC2 (rs560887, P = 1.1 x 10(-57)) and GCK (rs4607517, P = 1.0 x 10(-25)) loci.
- Published
- 2009
- Full Text
- View/download PDF
36. InterPro: an integrated documentation resource for protein families, domains and functional sites.
- Author
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Mulder NJ, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Biswas M, Bradley P, Bork P, Bucher P, Copley R, Courcelle E, Durbin R, Falquet L, Fleischmann W, Gouzy J, Griffith-Jones S, Haft D, Hermjakob H, Hulo N, Kahn D, Kanapin A, Krestyaninova M, Lopez R, Letunic I, Orchard S, Pagni M, Peyruc D, Ponting CP, Servant F, and Sigrist CJ
- Subjects
- Algorithms, Humans, Information Services, Internet, Software, Computational Biology, Databases, Protein, Proteins chemistry, Proteins classification
- Abstract
The exponential increase in the submission of nucleotide sequences to the nucleotide sequence database by genome sequencing centres has resulted in a need for rapid, automatic methods for classification of the resulting protein sequences. There are several signature and sequence cluster-based methods for protein classification, each resource having distinct areas of optimum application owing to the differences in the underlying analysis methods. In recognition of this, InterPro was developed as an integrated documentation resource for protein families, domains and functional sites, to rationalise the complementary efforts of the individual protein signature database projects. The member databases - PRINTS, PROSITE, Pfam, ProDom, SMART and TIGRFAMs - form the InterPro core. Related signatures from each member database are unified into single InterPro entries. Each InterPro entry includes a unique accession number, functional descriptions and literature references, and links are made back to the relevant member database(s). Release 4.0 of InterPro (November 2001) contains 4,691 entries, representing 3,532 families, 1,068 domains, 74 repeats and 15 sites of post-translational modification (PTMs) encoded by different regular expressions, profiles, fingerprints and hidden Markov models (HMMs). Each InterPro entry lists all the matches against SWISS-PROT and TrEMBL (2,141,621 InterPro hits from 586,124 SWISS-PROT and TrEMBL protein sequences). The database is freely accessible for text- and sequence-based searches.
- Published
- 2002
- Full Text
- View/download PDF
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