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1. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

Author: Thomas W Winkler, Anne E Justice, Mariaelisa Graff, Llilda Barata, Mary F Feitosa, Su Chu, Jacek Czajkowski, Tõnu Esko, Tove Fall, Tuomas O Kilpeläinen, Yingchang Lu, Reedik Mägi, Evelin Mihailov, Tune H Pers, Sina Rüeger, Alexander Teumer, Georg B Ehret, Teresa Ferreira, Nancy L Heard-Costa, Juha Karjalainen, Vasiliki Lagou, Anubha Mahajan, Michael D Neinast, Inga Prokopenko, Jeannette Simino, Tanya M Teslovich, Rick Jansen, Harm-Jan Westra, Charles C White, Devin Absher, Tarunveer S Ahluwalia, Shafqat Ahmad, Eva Albrecht, Alexessander Couto Alves, Jennifer L Bragg-Gresham, Anton J M de Craen, Joshua C Bis, Amélie Bonnefond, Gabrielle Boucher, Gemma Cadby, Yu-Ching Cheng, Charleston W K Chiang, Graciela Delgado, Ayse Demirkan, Nicole Dueker, Niina Eklund, Gudny Eiriksdottir, Joel Eriksson, Bjarke Feenstra, Krista Fischer, Francesca Frau, Tessel E Galesloot, Frank Geller, Anuj Goel, Mathias Gorski, Tanja B Grammer, Stefan Gustafsson, Saskia Haitjema, Jouke-Jan Hottenga, Jennifer E Huffman, Anne U Jackson, Kevin B Jacobs, Åsa Johansson, Marika Kaakinen, Marcus E Kleber, Jari Lahti, Irene Mateo Leach, Benjamin Lehne, Youfang Liu, Ken Sin Lo, Mattias Lorentzon, Jian'an Luan, Pamela A F Madden, Massimo Mangino, Barbara McKnight, Carolina Medina-Gomez, Keri L Monda, May E Montasser, Gabriele Müller, Martina Müller-Nurasyid, Ilja M Nolte, Kalliope Panoutsopoulou, Laura Pascoe, Lavinia Paternoster, Nigel W Rayner, Frida Renström, Federica Rizzi, Lynda M Rose, Kathy A Ryan, Perttu Salo, Serena Sanna, Hubert Scharnagl, Jianxin Shi, Albert Vernon Smith, Lorraine Southam, Alena Stančáková, Valgerdur Steinthorsdottir, Rona J Strawbridge, Yun Ju Sung, Ioanna Tachmazidou, Toshiko Tanaka, Gudmar Thorleifsson, Stella Trompet, Natalia Pervjakova, Jonathan P Tyrer, Liesbeth Vandenput, Sander W van der Laan, Nathalie van der Velde, Jessica van Setten, Jana V van Vliet-Ostaptchouk, Niek Verweij, Efthymia Vlachopoulou, Lindsay L Waite, Sophie R Wang, Zhaoming Wang, Sarah H Wild, Christina Willenborg, James F Wilson, Andrew Wong, Jian Yang, Loïc Yengo, Laura M Yerges-Armstrong, Lei Yu, Weihua Zhang, Jing Hua Zhao, Ehm A Andersson, Stephan J L Bakker, Damiano Baldassarre, Karina Banasik, Matteo Barcella, Cristina Barlassina, Claire Bellis, Paola Benaglio, John Blangero, Matthias Blüher, Fabrice Bonnet, Lori L Bonnycastle, Heather A Boyd, Marcel Bruinenberg, Aron S Buchman, Harry Campbell, Yii-Der Ida Chen, Peter S Chines, Simone Claudi-Boehm, John Cole, Francis S Collins, Eco J C de Geus, Lisette C P G M de Groot, Maria Dimitriou, Jubao Duan, Stefan Enroth, Elodie Eury, Aliki-Eleni Farmaki, Nita G Forouhi, Nele Friedrich, Pablo V Gejman, Bruna Gigante, Nicola Glorioso, Alan S Go, Omri Gottesman, Jürgen Gräßler, Harald Grallert, Niels Grarup, Yu-Mei Gu, Linda Broer, Annelies C Ham, Torben Hansen, Tamara B Harris, Catharina A Hartman, Maija Hassinen, Nicholas Hastie, Andrew T Hattersley, Andrew C Heath, Anjali K Henders, Dena Hernandez, Hans Hillege, Oddgeir Holmen, Kees G Hovingh, Jennie Hui, Lise L Husemoen, Nina Hutri-Kähönen, Pirro G Hysi, Thomas Illig, Philip L De Jager, Shapour Jalilzadeh, Torben Jørgensen, J Wouter Jukema, Markus Juonala, Stavroula Kanoni, Maria Karaleftheri, Kay Tee Khaw, Leena Kinnunen, Steven J Kittner, Wolfgang Koenig, Ivana Kolcic, Peter Kovacs, Nikolaj T Krarup, Wolfgang Kratzer, Janine Krüger, Diana Kuh, Meena Kumari, Theodosios Kyriakou, Claudia Langenberg, Lars Lannfelt, Chiara Lanzani, Vaneet Lotay, Lenore J Launer, Karin Leander, Jaana Lindström, Allan Linneberg, Yan-Ping Liu, Stéphane Lobbens, Robert Luben, Valeriya Lyssenko, Satu Männistö, Patrik K Magnusson, Wendy L McArdle, Cristina Menni, Sigrun Merger, Lili Milani, Grant W Montgomery, Andrew P Morris, Narisu Narisu, Mari Nelis, Ken K Ong, Aarno Palotie, Louis Pérusse, Irene Pichler, Maria G Pilia, Anneli Pouta, Myriam Rheinberger, Rasmus Ribel-Madsen, Marcus Richards, Kenneth M Rice, Treva K Rice, Carlo Rivolta, Veikko Salomaa, Alan R Sanders, Mark A Sarzynski, Salome Scholtens, Robert A Scott, William R Scott, Sylvain Sebert, Sebanti Sengupta, Bengt Sennblad, Thomas Seufferlein, Angela Silveira, P Eline Slagboom, Jan H Smit, Thomas H Sparsø, Kathleen Stirrups, Ronald P Stolk, Heather M Stringham, Morris A Swertz, Amy J Swift, Ann-Christine Syvänen, Sian-Tsung Tan, Barbara Thorand, Anke Tönjes, Angelo Tremblay, Emmanouil Tsafantakis, Peter J van der Most, Uwe Völker, Marie-Claude Vohl, Judith M Vonk, Melanie Waldenberger, Ryan W Walker, Roman Wennauer, Elisabeth Widén, Gonneke Willemsen, Tom Wilsgaard, Alan F Wright, M Carola Zillikens, Suzanne C van Dijk, Natasja M van Schoor, Folkert W Asselbergs, Paul I W de Bakker, Jacques S Beckmann, John Beilby, David A Bennett, Richard N Bergman, Sven Bergmann, Carsten A Böger, Bernhard O Boehm, Eric Boerwinkle, Dorret I Boomsma, Stefan R Bornstein, Erwin P Bottinger, Claude Bouchard, John C Chambers, Stephen J Chanock, Daniel I Chasman, Francesco Cucca, Daniele Cusi, George Dedoussis, Jeanette Erdmann, Johan G Eriksson, Denis A Evans, Ulf de Faire, Martin Farrall, Luigi Ferrucci, Ian Ford, Lude Franke, Paul W Franks, Philippe Froguel, Ron T Gansevoort, Christian Gieger, Henrik Grönberg, Vilmundur Gudnason, Ulf Gyllensten, Per Hall, Anders Hamsten, Pim van der Harst, Caroline Hayward, Markku Heliövaara, Christian Hengstenberg, Andrew A Hicks, Aroon Hingorani, Albert Hofman, Frank Hu, Heikki V Huikuri, Kristian Hveem, Alan L James, Joanne M Jordan, Antti Jula, Mika Kähönen, Eero Kajantie, Sekar Kathiresan, Lambertus A L M Kiemeney, Mika Kivimaki, Paul B Knekt, Heikki A Koistinen, Jaspal S Kooner, Seppo Koskinen, Johanna Kuusisto, Winfried Maerz, Nicholas G Martin, Markku Laakso, Timo A Lakka, Terho Lehtimäki, Guillaume Lettre, Douglas F Levinson, Lars Lind, Marja-Liisa Lokki, Pekka Mäntyselkä, Mads Melbye, Andres Metspalu, Braxton D Mitchell, Frans L Moll, Jeffrey C Murray, Arthur W Musk, Markku S Nieminen, Inger Njølstad, Claes Ohlsson, Albertine J Oldehinkel, Ben A Oostra, Lyle J Palmer, James S Pankow, Gerard Pasterkamp, Nancy L Pedersen, Oluf Pedersen, Brenda W Penninx, Markus Perola, Annette Peters, Ozren Polašek, Peter P Pramstaller, Bruce M Psaty, Lu Qi, Thomas Quertermous, Olli T Raitakari, Tuomo Rankinen, Rainer Rauramaa, Paul M Ridker, John D Rioux, Fernando Rivadeneira, Jerome I Rotter, Igor Rudan, Hester M den Ruijter, Juha Saltevo, Naveed Sattar, Heribert Schunkert, Peter E H Schwarz, Alan R Shuldiner, Juha Sinisalo, Harold Snieder, Thorkild I A Sørensen, Tim D Spector, Jan A Staessen, Bandinelli Stefania, Unnur Thorsteinsdottir, Michael Stumvoll, Jean-Claude Tardif, Elena Tremoli, Jaakko Tuomilehto, André G Uitterlinden, Matti Uusitupa, André L M Verbeek, Sita H Vermeulen, Jorma S Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Gérard Waeber, Mark Walker, Henri Wallaschofski, Nicholas J Wareham, Hugh Watkins, Eleftheria Zeggini, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Aravinda Chakravarti, Deborah J Clegg, L Adrienne Cupples, Penny Gordon-Larsen, Cashell E Jaquish, D C Rao, Goncalo R Abecasis, Themistocles L Assimes, Inês Barroso, Sonja I Berndt, Michael Boehnke, Panos Deloukas, Caroline S Fox, Leif C Groop, David J Hunter, Erik Ingelsson, Robert C Kaplan, Mark I McCarthy, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Joel N Hirschhorn, Cecilia M Lindgren, Iris M Heid, Kari E North, Ingrid B Borecki, Zoltán Kutalik, and Ruth J F Loos
Subjects: Genetics, QH426-470
Abstract: [This corrects the article DOI: 10.1371/journal.pgen.1005378.].
Published: 2016
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2. Investigating the Causal Relationship of C-Reactive Protein with 32 Complex Somatic and Psychiatric Outcomes: A Large-Scale Cross-Consortium Mendelian Randomization Study.

Author: Bram P Prins, Ali Abbasi, Anson Wong, Ahmad Vaez, Ilja Nolte, Nora Franceschini, Philip E Stuart, Javier Guterriez Achury, Vanisha Mistry, Jonathan P Bradfield, Ana M Valdes, Jose Bras, Aleksey Shatunov, PAGE Consortium, International Stroke Genetics Consortium, Systemic Sclerosis consortium, Treat OA consortium, DIAGRAM Consortium, CARDIoGRAMplusC4D Consortium, ALS consortium, International Parkinson’s Disease Genomics Consortium, Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, CKDGen consortium, GERAD1 Consortium, International Consortium for Blood Pressure, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Inflammation Working Group of the CHARGE Consortium, Chen Lu, Buhm Han, Soumya Raychaudhuri, Steve Bevan, Maureen D Mayes, Lam C Tsoi, Evangelos Evangelou, Rajan P Nair, Struan F A Grant, Constantin Polychronakos, Timothy R D Radstake, David A van Heel, Melanie L Dunstan, Nicholas W Wood, Ammar Al-Chalabi, Abbas Dehghan, Hakon Hakonarson, Hugh S Markus, James T Elder, Jo Knight, Dan E Arking, Timothy D Spector, Bobby P C Koeleman, Cornelia M van Duijn, Javier Martin, Andrew P Morris, Rinse K Weersma, Cisca Wijmenga, Patricia B Munroe, John R B Perry, Jennie G Pouget, Yalda Jamshidi, Harold Snieder, and Behrooz Z Alizadeh
Subjects: Medicine
Abstract: BackgroundC-reactive protein (CRP) is associated with immune, cardiometabolic, and psychiatric traits and diseases. Yet it is inconclusive whether these associations are causal.Methods and findingsWe performed Mendelian randomization (MR) analyses using two genetic risk scores (GRSs) as instrumental variables (IVs). The first GRS consisted of four single nucleotide polymorphisms (SNPs) in the CRP gene (GRSCRP), and the second consisted of 18 SNPs that were significantly associated with CRP levels in the largest genome-wide association study (GWAS) to date (GRSGWAS). To optimize power, we used summary statistics from GWAS consortia and tested the association of these two GRSs with 32 complex somatic and psychiatric outcomes, with up to 123,865 participants per outcome from populations of European ancestry. We performed heterogeneity tests to disentangle the pleiotropic effect of IVs. A Bonferroni-corrected significance level of less than 0.0016 was considered statistically significant. An observed p-value equal to or less than 0.05 was considered nominally significant evidence for a potential causal association, yet to be confirmed. The strengths (F-statistics) of the IVs were 31.92-3,761.29 and 82.32-9,403.21 for GRSCRP and GRSGWAS, respectively. CRP GRSGWAS showed a statistically significant protective relationship of a 10% genetically elevated CRP level with the risk of schizophrenia (odds ratio [OR] 0.86 [95% CI 0.79-0.94]; p < 0.001). We validated this finding with individual-level genotype data from the schizophrenia GWAS (OR 0.96 [95% CI 0.94-0.98]; p < 1.72 × 10-6). Further, we found that a standardized CRP polygenic risk score (CRPPRS) at p-value thresholds of 1 × 10-4, 0.001, 0.01, 0.05, and 0.1 using individual-level data also showed a protective effect (OR < 1.00) against schizophrenia; the first CRPPRS (built of SNPs with p < 1 × 10-4) showed a statistically significant (p < 2.45 × 10-4) protective effect with an OR of 0.97 (95% CI 0.95-0.99). The CRP GRSGWAS showed that a 10% increase in genetically determined CRP level was significantly associated with coronary artery disease (OR 0.88 [95% CI 0.84-0.94]; p < 2.4 × 10-5) and was nominally associated with the risk of inflammatory bowel disease (OR 0.85 [95% CI 0.74-0.98]; p < 0.03), Crohn disease (OR 0.81 [95% CI 0.70-0.94]; p < 0.005), psoriatic arthritis (OR 1.36 [95% CI 1.00-1.84]; p < 0.049), knee osteoarthritis (OR 1.17 [95% CI 1.01-1.36]; p < 0.04), and bipolar disorder (OR 1.21 [95% CI 1.05-1.40]; p < 0.007) and with an increase of 0.72 (95% CI 0.11-1.34; p < 0.02) mm Hg in systolic blood pressure, 0.45 (95% CI 0.06-0.84; p < 0.02) mm Hg in diastolic blood pressure, 0.01 ml/min/1.73 m2 (95% CI 0.003-0.02; p < 0.005) in estimated glomerular filtration rate from serum creatinine, 0.01 g/dl (95% CI 0.0004-0.02; p < 0.04) in serum albumin level, and 0.03 g/dl (95% CI 0.008-0.05; p < 0.009) in serum protein level. However, after adjustment for heterogeneity, neither GRS showed a significant effect of CRP level (at p < 0.0016) on any of these outcomes, including coronary artery disease, nor on the other 20 complex outcomes studied. Our study has two potential limitations: the limited variance explained by our genetic instruments modeling CRP levels in blood and the unobserved bias introduced by the use of summary statistics in our MR analyses.ConclusionsGenetically elevated CRP levels showed a significant potentially protective causal relationship with risk of schizophrenia. We observed nominal evidence at an observed p < 0.05 using either GRSCRP or GRSGWAS-with persistence after correction for heterogeneity-for a causal relationship of elevated CRP levels with psoriatic osteoarthritis, rheumatoid arthritis, knee osteoarthritis, systolic blood pressure, diastolic blood pressure, serum albumin, and bipolar disorder. These associations remain yet to be confirmed. We cannot verify any causal effect of CRP level on any of the other common somatic and neuropsychiatric outcomes investigated in the present study. This implies that interventions that lower CRP level are unlikely to result in decreased risk for the majority of common complex outcomes.
Published: 2016
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3. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

Author: Thomas W Winkler, Anne E Justice, Mariaelisa Graff, Llilda Barata, Mary F Feitosa, Su Chu, Jacek Czajkowski, Tõnu Esko, Tove Fall, Tuomas O Kilpeläinen, Yingchang Lu, Reedik Mägi, Evelin Mihailov, Tune H Pers, Sina Rüeger, Alexander Teumer, Georg B Ehret, Teresa Ferreira, Nancy L Heard-Costa, Juha Karjalainen, Vasiliki Lagou, Anubha Mahajan, Michael D Neinast, Inga Prokopenko, Jeannette Simino, Tanya M Teslovich, Rick Jansen, Harm-Jan Westra, Charles C White, Devin Absher, Tarunveer S Ahluwalia, Shafqat Ahmad, Eva Albrecht, Alexessander Couto Alves, Jennifer L Bragg-Gresham, Anton J M de Craen, Joshua C Bis, Amélie Bonnefond, Gabrielle Boucher, Gemma Cadby, Yu-Ching Cheng, Charleston W K Chiang, Graciela Delgado, Ayse Demirkan, Nicole Dueker, Niina Eklund, Gudny Eiriksdottir, Joel Eriksson, Bjarke Feenstra, Krista Fischer, Francesca Frau, Tessel E Galesloot, Frank Geller, Anuj Goel, Mathias Gorski, Tanja B Grammer, Stefan Gustafsson, Saskia Haitjema, Jouke-Jan Hottenga, Jennifer E Huffman, Anne U Jackson, Kevin B Jacobs, Åsa Johansson, Marika Kaakinen, Marcus E Kleber, Jari Lahti, Irene Mateo Leach, Benjamin Lehne, Youfang Liu, Ken Sin Lo, Mattias Lorentzon, Jian'an Luan, Pamela A F Madden, Massimo Mangino, Barbara McKnight, Carolina Medina-Gomez, Keri L Monda, May E Montasser, Gabriele Müller, Martina Müller-Nurasyid, Ilja M Nolte, Kalliope Panoutsopoulou, Laura Pascoe, Lavinia Paternoster, Nigel W Rayner, Frida Renström, Federica Rizzi, Lynda M Rose, Kathy A Ryan, Perttu Salo, Serena Sanna, Hubert Scharnagl, Jianxin Shi, Albert Vernon Smith, Lorraine Southam, Alena Stančáková, Valgerdur Steinthorsdottir, Rona J Strawbridge, Yun Ju Sung, Ioanna Tachmazidou, Toshiko Tanaka, Gudmar Thorleifsson, Stella Trompet, Natalia Pervjakova, Jonathan P Tyrer, Liesbeth Vandenput, Sander W van der Laan, Nathalie van der Velde, Jessica van Setten, Jana V van Vliet-Ostaptchouk, Niek Verweij, Efthymia Vlachopoulou, Lindsay L Waite, Sophie R Wang, Zhaoming Wang, Sarah H Wild, Christina Willenborg, James F Wilson, Andrew Wong, Jian Yang, Loïc Yengo, Laura M Yerges-Armstrong, Lei Yu, Weihua Zhang, Jing Hua Zhao, Ehm A Andersson, Stephan J L Bakker, Damiano Baldassarre, Karina Banasik, Matteo Barcella, Cristina Barlassina, Claire Bellis, Paola Benaglio, John Blangero, Matthias Blüher, Fabrice Bonnet, Lori L Bonnycastle, Heather A Boyd, Marcel Bruinenberg, Aron S Buchman, Harry Campbell, Yii-Der Ida Chen, Peter S Chines, Simone Claudi-Boehm, John Cole, Francis S Collins, Eco J C de Geus, Lisette C P G M de Groot, Maria Dimitriou, Jubao Duan, Stefan Enroth, Elodie Eury, Aliki-Eleni Farmaki, Nita G Forouhi, Nele Friedrich, Pablo V Gejman, Bruna Gigante, Nicola Glorioso, Alan S Go, Omri Gottesman, Jürgen Gräßler, Harald Grallert, Niels Grarup, Yu-Mei Gu, Linda Broer, Annelies C Ham, Torben Hansen, Tamara B Harris, Catharina A Hartman, Maija Hassinen, Nicholas Hastie, Andrew T Hattersley, Andrew C Heath, Anjali K Henders, Dena Hernandez, Hans Hillege, Oddgeir Holmen, Kees G Hovingh, Jennie Hui, Lise L Husemoen, Nina Hutri-Kähönen, Pirro G Hysi, Thomas Illig, Philip L De Jager, Shapour Jalilzadeh, Torben Jørgensen, J Wouter Jukema, Markus Juonala, Stavroula Kanoni, Maria Karaleftheri, Kay Tee Khaw, Leena Kinnunen, Steven J Kittner, Wolfgang Koenig, Ivana Kolcic, Peter Kovacs, Nikolaj T Krarup, Wolfgang Kratzer, Janine Krüger, Diana Kuh, Meena Kumari, Theodosios Kyriakou, Claudia Langenberg, Lars Lannfelt, Chiara Lanzani, Vaneet Lotay, Lenore J Launer, Karin Leander, Jaana Lindström, Allan Linneberg, Yan-Ping Liu, Stéphane Lobbens, Robert Luben, Valeriya Lyssenko, Satu Männistö, Patrik K Magnusson, Wendy L McArdle, Cristina Menni, Sigrun Merger, Lili Milani, Grant W Montgomery, Andrew P Morris, Narisu Narisu, Mari Nelis, Ken K Ong, Aarno Palotie, Louis Pérusse, Irene Pichler, Maria G Pilia, Anneli Pouta, Myriam Rheinberger, Rasmus Ribel-Madsen, Marcus Richards, Kenneth M Rice, Treva K Rice, Carlo Rivolta, Veikko Salomaa, Alan R Sanders, Mark A Sarzynski, Salome Scholtens, Robert A Scott, William R Scott, Sylvain Sebert, Sebanti Sengupta, Bengt Sennblad, Thomas Seufferlein, Angela Silveira, P Eline Slagboom, Jan H Smit, Thomas H Sparsø, Kathleen Stirrups, Ronald P Stolk, Heather M Stringham, Morris A Swertz, Amy J Swift, Ann-Christine Syvänen, Sian-Tsung Tan, Barbara Thorand, Anke Tönjes, Angelo Tremblay, Emmanouil Tsafantakis, Peter J van der Most, Uwe Völker, Marie-Claude Vohl, Judith M Vonk, Melanie Waldenberger, Ryan W Walker, Roman Wennauer, Elisabeth Widén, Gonneke Willemsen, Tom Wilsgaard, Alan F Wright, M Carola Zillikens, Suzanne C van Dijk, Natasja M van Schoor, Folkert W Asselbergs, Paul I W de Bakker, Jacques S Beckmann, John Beilby, David A Bennett, Richard N Bergman, Sven Bergmann, Carsten A Böger, Bernhard O Boehm, Eric Boerwinkle, Dorret I Boomsma, Stefan R Bornstein, Erwin P Bottinger, Claude Bouchard, John C Chambers, Stephen J Chanock, Daniel I Chasman, Francesco Cucca, Daniele Cusi, George Dedoussis, Jeanette Erdmann, Johan G Eriksson, Denis A Evans, Ulf de Faire, Martin Farrall, Luigi Ferrucci, Ian Ford, Lude Franke, Paul W Franks, Philippe Froguel, Ron T Gansevoort, Christian Gieger, Henrik Grönberg, Vilmundur Gudnason, Ulf Gyllensten, Per Hall, Anders Hamsten, Pim van der Harst, Caroline Hayward, Markku Heliövaara, Christian Hengstenberg, Andrew A Hicks, Aroon Hingorani, Albert Hofman, Frank Hu, Heikki V Huikuri, Kristian Hveem, Alan L James, Joanne M Jordan, Antti Jula, Mika Kähönen, Eero Kajantie, Sekar Kathiresan, Lambertus A L M Kiemeney, Mika Kivimaki, Paul B Knekt, Heikki A Koistinen, Jaspal S Kooner, Seppo Koskinen, Johanna Kuusisto, Winfried Maerz, Nicholas G Martin, Markku Laakso, Timo A Lakka, Terho Lehtimäki, Guillaume Lettre, Douglas F Levinson, Lars Lind, Marja-Liisa Lokki, Pekka Mäntyselkä, Mads Melbye, Andres Metspalu, Braxton D Mitchell, Frans L Moll, Jeffrey C Murray, Arthur W Musk, Markku S Nieminen, Inger Njølstad, Claes Ohlsson, Albertine J Oldehinkel, Ben A Oostra, Lyle J Palmer, James S Pankow, Gerard Pasterkamp, Nancy L Pedersen, Oluf Pedersen, Brenda W Penninx, Markus Perola, Annette Peters, Ozren Polašek, Peter P Pramstaller, Bruce M Psaty, Lu Qi, Thomas Quertermous, Olli T Raitakari, Tuomo Rankinen, Rainer Rauramaa, Paul M Ridker, John D Rioux, Fernando Rivadeneira, Jerome I Rotter, Igor Rudan, Hester M den Ruijter, Juha Saltevo, Naveed Sattar, Heribert Schunkert, Peter E H Schwarz, Alan R Shuldiner, Juha Sinisalo, Harold Snieder, Thorkild I A Sørensen, Tim D Spector, Jan A Staessen, Bandinelli Stefania, Unnur Thorsteinsdottir, Michael Stumvoll, Jean-Claude Tardif, Elena Tremoli, Jaakko Tuomilehto, André G Uitterlinden, Matti Uusitupa, André L M Verbeek, Sita H Vermeulen, Jorma S Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Gérard Waeber, Mark Walker, Henri Wallaschofski, Nicholas J Wareham, Hugh Watkins, Eleftheria Zeggini, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Aravinda Chakravarti, Deborah J Clegg, L Adrienne Cupples, Penny Gordon-Larsen, Cashell E Jaquish, D C Rao, Goncalo R Abecasis, Themistocles L Assimes, Inês Barroso, Sonja I Berndt, Michael Boehnke, Panos Deloukas, Caroline S Fox, Leif C Groop, David J Hunter, Erik Ingelsson, Robert C Kaplan, Mark I McCarthy, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Joel N Hirschhorn, Cecilia M Lindgren, Iris M Heid, Kari E North, Ingrid B Borecki, Zoltán Kutalik, and Ruth J F Loos
Subjects: Genetics, QH426-470
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR
Published: 2015
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4. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.

Author: Maggie C Y Ng, Daniel Shriner, Brian H Chen, Jiang Li, Wei-Min Chen, Xiuqing Guo, Jiankang Liu, Suzette J Bielinski, Lisa R Yanek, Michael A Nalls, Mary E Comeau, Laura J Rasmussen-Torvik, Richard A Jensen, Daniel S Evans, Yan V Sun, Ping An, Sanjay R Patel, Yingchang Lu, Jirong Long, Loren L Armstrong, Lynne Wagenknecht, Lingyao Yang, Beverly M Snively, Nicholette D Palmer, Poorva Mudgal, Carl D Langefeld, Keith L Keene, Barry I Freedman, Josyf C Mychaleckyj, Uma Nayak, Leslie J Raffel, Mark O Goodarzi, Y-D Ida Chen, Herman A Taylor, Adolfo Correa, Mario Sims, David Couper, James S Pankow, Eric Boerwinkle, Adebowale Adeyemo, Ayo Doumatey, Guanjie Chen, Rasika A Mathias, Dhananjay Vaidya, Andrew B Singleton, Alan B Zonderman, Robert P Igo, John R Sedor, FIND Consortium, Edmond K Kabagambe, David S Siscovick, Barbara McKnight, Kenneth Rice, Yongmei Liu, Wen-Chi Hsueh, Wei Zhao, Lawrence F Bielak, Aldi Kraja, Michael A Province, Erwin P Bottinger, Omri Gottesman, Qiuyin Cai, Wei Zheng, William J Blot, William L Lowe, Jennifer A Pacheco, Dana C Crawford, eMERGE Consortium, DIAGRAM Consortium, Elin Grundberg, MuTHER Consortium, Stephen S Rich, M Geoffrey Hayes, Xiao-Ou Shu, Ruth J F Loos, Ingrid B Borecki, Patricia A Peyser, Steven R Cummings, Bruce M Psaty, Myriam Fornage, Sudha K Iyengar, Michele K Evans, Diane M Becker, W H Linda Kao, James G Wilson, Jerome I Rotter, Michèle M Sale, Simin Liu, Charles N Rotimi, Donald W Bowden, and MEta-analysis of type 2 DIabetes in African Americans Consortium
Subjects: Genetics, QH426-470
Abstract: Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)
Published: 2014
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5. Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits.

Author: Joshua C Randall, Thomas W Winkler, Zoltán Kutalik, Sonja I Berndt, Anne U Jackson, Keri L Monda, Tuomas O Kilpeläinen, Tõnu Esko, Reedik Mägi, Shengxu Li, Tsegaselassie Workalemahu, Mary F Feitosa, Damien C Croteau-Chonka, Felix R Day, Tove Fall, Teresa Ferreira, Stefan Gustafsson, Adam E Locke, Iain Mathieson, Andre Scherag, Sailaja Vedantam, Andrew R Wood, Liming Liang, Valgerdur Steinthorsdottir, Gudmar Thorleifsson, Emmanouil T Dermitzakis, Antigone S Dimas, Fredrik Karpe, Josine L Min, George Nicholson, Deborah J Clegg, Thomas Person, Jon P Krohn, Sabrina Bauer, Christa Buechler, Kristina Eisinger, DIAGRAM Consortium, Amélie Bonnefond, Philippe Froguel, MAGIC Investigators, Jouke-Jan Hottenga, Inga Prokopenko, Lindsay L Waite, Tamara B Harris, Albert Vernon Smith, Alan R Shuldiner, Wendy L McArdle, Mark J Caulfield, Patricia B Munroe, Henrik Grönberg, Yii-Der Ida Chen, Guo Li, Jacques S Beckmann, Toby Johnson, Unnur Thorsteinsdottir, Maris Teder-Laving, Kay-Tee Khaw, Nicholas J Wareham, Jing Hua Zhao, Najaf Amin, Ben A Oostra, Aldi T Kraja, Michael A Province, L Adrienne Cupples, Nancy L Heard-Costa, Jaakko Kaprio, Samuli Ripatti, Ida Surakka, Francis S Collins, Jouko Saramies, Jaakko Tuomilehto, Antti Jula, Veikko Salomaa, Jeanette Erdmann, Christian Hengstenberg, Christina Loley, Heribert Schunkert, Claudia Lamina, H Erich Wichmann, Eva Albrecht, Christian Gieger, Andrew A Hicks, Asa Johansson, Peter P Pramstaller, Sekar Kathiresan, Elizabeth K Speliotes, Brenda Penninx, Anna-Liisa Hartikainen, Marjo-Riitta Jarvelin, Ulf Gyllensten, Dorret I Boomsma, Harry Campbell, James F Wilson, Stephen J Chanock, Martin Farrall, Anuj Goel, Carolina Medina-Gomez, Fernando Rivadeneira, Karol Estrada, André G Uitterlinden, Albert Hofman, M Carola Zillikens, Martin den Heijer, Lambertus A Kiemeney, Andrea Maschio, Per Hall, Jonathan Tyrer, Alexander Teumer, Henry Völzke, Peter Kovacs, Anke Tönjes, Massimo Mangino, Tim D Spector, Caroline Hayward, Igor Rudan, Alistair S Hall, Nilesh J Samani, Antony Paul Attwood, Jennifer G Sambrook, Joseph Hung, Lyle J Palmer, Marja-Liisa Lokki, Juha Sinisalo, Gabrielle Boucher, Heikki Huikuri, Mattias Lorentzon, Claes Ohlsson, Niina Eklund, Johan G Eriksson, Cristina Barlassina, Carlo Rivolta, Ilja M Nolte, Harold Snieder, Melanie M Van der Klauw, Jana V Van Vliet-Ostaptchouk, Pablo V Gejman, Jianxin Shi, Kevin B Jacobs, Zhaoming Wang, Stephan J L Bakker, Irene Mateo Leach, Gerjan Navis, Pim van der Harst, Nicholas G Martin, Sarah E Medland, Grant W Montgomery, Jian Yang, Daniel I Chasman, Paul M Ridker, Lynda M Rose, Terho Lehtimäki, Olli Raitakari, Devin Absher, Carlos Iribarren, Hanneke Basart, Kees G Hovingh, Elina Hyppönen, Chris Power, Denise Anderson, John P Beilby, Jennie Hui, Jennifer Jolley, Hendrik Sager, Stefan R Bornstein, Peter E H Schwarz, Kati Kristiansson, Markus Perola, Jaana Lindström, Amy J Swift, Matti Uusitupa, Mustafa Atalay, Timo A Lakka, Rainer Rauramaa, Jennifer L Bolton, Gerry Fowkes, Ross M Fraser, Jackie F Price, Krista Fischer, Kaarel Krjutå Kov, Andres Metspalu, Evelin Mihailov, Claudia Langenberg, Jian'an Luan, Ken K Ong, Peter S Chines, Sirkka M Keinanen-Kiukaanniemi, Timo E Saaristo, Sarah Edkins, Paul W Franks, Göran Hallmans, Dmitry Shungin, Andrew David Morris, Colin N A Palmer, Raimund Erbel, Susanne Moebus, Markus M Nöthen, Sonali Pechlivanis, Kristian Hveem, Narisu Narisu, Anders Hamsten, Steve E Humphries, Rona J Strawbridge, Elena Tremoli, Harald Grallert, Barbara Thorand, Thomas Illig, Wolfgang Koenig, Martina Müller-Nurasyid, Annette Peters, Bernhard O Boehm, Marcus E Kleber, Winfried März, Bernhard R Winkelmann, Johanna Kuusisto, Markku Laakso, Dominique Arveiler, Giancarlo Cesana, Kari Kuulasmaa, Jarmo Virtamo, John W G Yarnell, Diana Kuh, Andrew Wong, Lars Lind, Ulf de Faire, Bruna Gigante, Patrik K E Magnusson, Nancy L Pedersen, George Dedoussis, Maria Dimitriou, Genovefa Kolovou, Stavroula Kanoni, Kathleen Stirrups, Lori L Bonnycastle, Inger Njølstad, Tom Wilsgaard, Andrea Ganna, Emil Rehnberg, Aroon Hingorani, Mika Kivimaki, Meena Kumari, Themistocles L Assimes, Inês Barroso, Michael Boehnke, Ingrid B Borecki, Panos Deloukas, Caroline S Fox, Timothy Frayling, Leif C Groop, Talin Haritunians, David Hunter, Erik Ingelsson, Robert Kaplan, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Gonçalo R Abecasis, Mark I McCarthy, Joel N Hirschhorn, Lu Qi, Ruth J F Loos, Cecilia M Lindgren, Kari E North, and Iris M Heid
Subjects: Genetics, QH426-470
Abstract: Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR
Published: 2013
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6. Genetic associations of type 2 diabetes with islet amyloid polypeptide processing and degrading pathways in asian populations.

Author: Vincent Kwok Lim Lam, Ronald Ching Wan Ma, Heung Man Lee, Cheng Hu, Kyong Soo Park, Hiroto Furuta, Ying Wang, Claudia Ha Ting Tam, Xueling Sim, Daniel Peng-Keat Ng, Jianjun Liu, Tien-Yin Wong, E Shyong Tai, Andrew P Morris, DIAGRAM Consortium, Nelson Leung Sang Tang, Jean Woo, Ping Chung Leung, Alice Pik Shan Kong, Risa Ozaki, Wei Ping Jia, Hong Kyu Lee, Kishio Nanjo, Gang Xu, Maggie Chor Yin Ng, Wing-Yee So, and Juliana Chung Ngor Chan
Subjects: Medicine, Science
Abstract: Type 2 diabetes (T2D) is a complex disease characterized by beta cell dysfunctions. Islet amyloid polypeptide (IAPP) is highly conserved and co-secreted with insulin with over 40% of autopsy cases of T2D showing islet amyloid formation due to IAPP aggregation. Dysregulation in IAPP processing, stabilization and degradation can cause excessive oligomerization with beta cell toxicity. Previous studies examining genetic associations of pathways implicated in IAPP metabolism have yielded conflicting results due to small sample size, insufficient interrogation of gene structure and gene-gene interactions. In this multi-staged study, we screened 89 tag single nucleotide polymorphisms (SNPs) in 6 candidate genes implicated in IAPP metabolism and tested for independent and joint associations with T2D and beta cell dysfunctions. Positive signals in the stage-1 were confirmed by de novo and in silico analysis in a multi-centre unrelated case-control cohort. We examined the association of significant SNPs with quantitative traits in a subset of controls and performed bioinformatics and relevant functional analyses. Amongst the tag SNPs, rs1583645 in carboxypeptidase E (CPE) and rs6583813 in insulin degrading enzyme (IDE) were associated with 1.09 to 1.28 fold increased risk of T2D (P Meta = 9.4×10(-3) and 0.02 respectively) in a meta-analysis of East Asians. Using genetic risk scores (GRS) with each risk variant scoring 1, subjects with GRS≥3 (8.2% of the cohort) had 56% higher risk of T2D than those with GRS = 0 (P = 0.01). In a subcohort of control subjects, plasma IAPP increased and beta cell function index declined with GRS (P = 0.008 and 0.03 respectively). Bioinformatics and functional analyses of CPE rs1583645 predicted regulatory elements for chromatin modification and transcription factors, suggesting differential DNA-protein interactions and gene expression. Taken together, these results support the importance of dysregulation of IAPP metabolism in T2D in East Asians.
Published: 2013
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7. Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases.

Author: John R B Perry, Benjamin F Voight, Loïc Yengo, Najaf Amin, Josée Dupuis, Martha Ganser, Harald Grallert, Pau Navarro, Man Li, Lu Qi, Valgerdur Steinthorsdottir, Robert A Scott, Peter Almgren, Dan E Arking, Yurii Aulchenko, Beverley Balkau, Rafn Benediktsson, Richard N Bergman, Eric Boerwinkle, Lori Bonnycastle, Noël P Burtt, Harry Campbell, Guillaume Charpentier, Francis S Collins, Christian Gieger, Todd Green, Samy Hadjadj, Andrew T Hattersley, Christian Herder, Albert Hofman, Andrew D Johnson, Anna Kottgen, Peter Kraft, Yann Labrune, Claudia Langenberg, Alisa K Manning, Karen L Mohlke, Andrew P Morris, Ben Oostra, James Pankow, Ann-Kristin Petersen, Peter P Pramstaller, Inga Prokopenko, Wolfgang Rathmann, William Rayner, Michael Roden, Igor Rudan, Denis Rybin, Laura J Scott, Gunnar Sigurdsson, Rob Sladek, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Jaakko Tuomilehto, Andre G Uitterlinden, Sidonie Vivequin, Michael N Weedon, Alan F Wright, MAGIC, DIAGRAM Consortium, GIANT Consortium, Frank B Hu, Thomas Illig, Linda Kao, James B Meigs, James F Wilson, Kari Stefansson, Cornelia van Duijn, David Altschuler, Andrew D Morris, Michael Boehnke, Mark I McCarthy, Philippe Froguel, Colin N A Palmer, Nicholas J Wareham, Leif Groop, Timothy M Frayling, and Stéphane Cauchi
Subjects: Genetics, QH426-470
Abstract: Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI
Published: 2012
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8. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Author: Zari Dastani, Marie-France Hivert, Nicholas Timpson, John R B Perry, Xin Yuan, Robert A Scott, Peter Henneman, Iris M Heid, Jorge R Kizer, Leo-Pekka Lyytikäinen, Christian Fuchsberger, Toshiko Tanaka, Andrew P Morris, Kerrin Small, Aaron Isaacs, Marian Beekman, Stefan Coassin, Kurt Lohman, Lu Qi, Stavroula Kanoni, James S Pankow, Hae-Won Uh, Ying Wu, Aurelian Bidulescu, Laura J Rasmussen-Torvik, Celia M T Greenwood, Martin Ladouceur, Jonna Grimsby, Alisa K Manning, Ching-Ti Liu, Jaspal Kooner, Vincent E Mooser, Peter Vollenweider, Karen A Kapur, John Chambers, Nicholas J Wareham, Claudia Langenberg, Rune Frants, Ko Willems-Vandijk, Ben A Oostra, Sara M Willems, Claudia Lamina, Thomas W Winkler, Bruce M Psaty, Russell P Tracy, Jennifer Brody, Ida Chen, Jorma Viikari, Mika Kähönen, Peter P Pramstaller, David M Evans, Beate St Pourcain, Naveed Sattar, Andrew R Wood, Stefania Bandinelli, Olga D Carlson, Josephine M Egan, Stefan Böhringer, Diana van Heemst, Lyudmyla Kedenko, Kati Kristiansson, Marja-Liisa Nuotio, Britt-Marie Loo, Tamara Harris, Melissa Garcia, Alka Kanaya, Margot Haun, Norman Klopp, H-Erich Wichmann, Panos Deloukas, Efi Katsareli, David J Couper, Bruce B Duncan, Margreet Kloppenburg, Linda S Adair, Judith B Borja, DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, James G Wilson, Solomon Musani, Xiuqing Guo, Toby Johnson, Robert Semple, Tanya M Teslovich, Matthew A Allison, Susan Redline, Sarah G Buxbaum, Karen L Mohlke, Ingrid Meulenbelt, Christie M Ballantyne, George V Dedoussis, Frank B Hu, Yongmei Liu, Bernhard Paulweber, Timothy D Spector, P Eline Slagboom, Luigi Ferrucci, Antti Jula, Markus Perola, Olli Raitakari, Jose C Florez, Veikko Salomaa, Johan G Eriksson, Timothy M Frayling, Andrew A Hicks, Terho Lehtimäki, George Davey Smith, David S Siscovick, Florian Kronenberg, Cornelia van Duijn, Ruth J F Loos, Dawn M Waterworth, James B Meigs, Josee Dupuis, J Brent Richards, Benjamin F Voight, Laura J Scott, Valgerdur Steinthorsdottir, Christian Dina, Ryan P Welch, Eleftheria Zeggini, Cornelia Huth, Yurii S Aulchenko, Gudmar Thorleifsson, Laura J McCulloch, Teresa Ferreira, Harald Grallert, Najaf Amin, Guanming Wu, Cristen J Willer, Soumya Raychaudhuri, Steve A McCarroll, Oliver M Hofmann, Ayellet V Segrè, Mandy van Hoek, Pau Navarro, Kristin Ardlie, Beverley Balkau, Rafn Benediktsson, Amanda J Bennett, Roza Blagieva, Eric Boerwinkle, Lori L Bonnycastle, Kristina Bengtsson Boström, Bert Bravenboer, Suzannah Bumpstead, Noël P Burtt, Guillaume Charpentier, Peter S Chines, Marilyn Cornelis, Gabe Crawford, Alex S F Doney, Katherine S Elliott, Amanda L Elliott, Michael R Erdos, Caroline S Fox, Christopher S Franklin, Martha Ganser, Christian Gieger, Niels Grarup, Todd Green, Simon Griffin, Christopher J Groves, Candace Guiducci, Samy Hadjadj, Neelam Hassanali, Christian Herder, Bo Isomaa, Anne U Jackson, Paul R V Johnson, Torben Jørgensen, Wen H L Kao, Augustine Kong, Peter Kraft, Johanna Kuusisto, Torsten Lauritzen, Man Li, Aloysius Lieverse, Cecilia M Lindgren, Valeriya Lyssenko, Michel Marre, Thomas Meitinger, Kristian Midthjell, Mario A Morken, Narisu Narisu, Peter Nilsson, Katharine R Owen, Felicity Payne, Ann-Kristin Petersen, Carl Platou, Christine Proença, Inga Prokopenko, Wolfgang Rathmann, N William Rayner, Neil R Robertson, Ghislain Rocheleau, Michael Roden, Michael J Sampson, Richa Saxena, Beverley M Shields, Peter Shrader, Gunnar Sigurdsson, Thomas Sparsø, Klaus Strassburger, Heather M Stringham, Qi Sun, Amy J Swift, Barbara Thorand, Jean Tichet, Tiinamaija Tuomi, Rob M van Dam, Timon W van Haeften, Thijs van Herpt, Jana V van Vliet-Ostaptchouk, G Bragi Walters, Michael N Weedon, Cisca Wijmenga, Jacqueline Witteman, Richard N Bergman, Stephane Cauchi, Francis S Collins, Anna L Gloyn, Ulf Gyllensten, Torben Hansen, Winston A Hide, Graham A Hitman, Albert Hofman, David J Hunter, Kristian Hveem, Markku Laakso, Andrew D Morris, Colin N A Palmer, Igor Rudan, Eric Sijbrands, Lincoln D Stein, Jaakko Tuomilehto, Andre Uitterlinden, Mark Walker, Richard M Watanabe, Goncalo R Abecasis, Bernhard O Boehm, Harry Campbell, Mark J Daly, Andrew T Hattersley, Oluf Pedersen, Inês Barroso, Leif Groop, Rob Sladek, Unnur Thorsteinsdottir, James F Wilson, Thomas Illig, Philippe Froguel, Cornelia M van Duijn, Kari Stefansson, David Altshuler, Michael Boehnke, Mark I McCarthy, Nicole Soranzo, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Reedik Mägi, Joshua Randall, Paul Elliott, Denis Rybin, Abbas Dehghan, Jouke Jan Hottenga, Kijoung Song, Anuj Goel, Taina Lajunen, Alex Doney, Christine Cavalcanti-Proença, Meena Kumari, Nicholas J Timpson, Carina Zabena, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Yavuz Ariyurek, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Sven Bergmann, Murielle Bochud, Amélie Bonnefond, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Yii-Der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jerome Delplanque, Annette C Fedson, Antje Fischer-Rosinsky, Nita G Forouhi, Maria Grazia Franzosi, Pilar Galan, Mark O Goodarzi, Jürgen Graessler, Scott Grundy, Rhian Gwilliam, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Caroline Hayward, Simon C Heath, Serge Hercberg, David R Hillman, Aroon D Hingorani, Jennie Hui, Joe Hung, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesaniemi, Mika Kivimaki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Robert Mahley, Massimo Mangino, María Teresa Martínez-Larrad, Jarred B McAteer, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Sutapa Mukherjee, Silvia Naitza, Matthew J Neville, Marco Orrù, Ruth Pakyz, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Andreas F H Pfeiffer, Irene Pichler, Ozren Polasek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Udo Seedorf, Stephen J Sharp, Beverley Shields, Gunnar Sigurðsson, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Anke Tönjes, André G Uitterlinden, Ko Willems van Dijk, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, Kim L Ward, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Ingrid B Borecki, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Kaisa Silander, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, Manuel Serrano-Ríos, Lars Lind, Lyle J Palmer, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, Peter Paul Pramstaller, Alan F Wright, Michael Stumvoll, Anders Hamsten, Procardis Consortium, Thomas A Buchanan, Timo T Valle, Jerome I Rotter, Brenda W J H Penninx, Dorret I Boomsma, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Jarvelin, Leena Peltonen, Vincent Mooser, Robert Sladek, MAGIC investigators, GLGC Consortium, Kiran Musunuru, Albert V Smith, Andrew C Edmondson, Ioannis M Stylianou, Masahiro Koseki, James P Pirruccello, Daniel I Chasman, Christopher T Johansen, Sigrid W Fouchier, Gina M Peloso, Maja Barbalic, Sally L Ricketts, Joshua C Bis, Mary F Feitosa, Marju Orho-Melander, Olle Melander, Xiaohui Li, Mingyao Li, Yoon Shin Cho, Min Jin Go, Young Jin Kim, Jong-Young Lee, Taesung Park, Kyunga Kim, Xueling Sim, Rick Twee-Hee Ong, Damien C Croteau-Chonka, Leslie A Lange, Joshua D Smith, Andreas Ziegler, Weihua Zhang, Robert Y L Zee, John B Whitfield, John R Thompson, Ida Surakka, Tim D Spector, Johannes H Smit, Juha Sinisalo, James Scott, Juha Saharinen, Chiara Sabatti, Lynda M Rose, Robert Roberts, Mark Rieder, Alex N Parker, Guillaume Pare, Christopher J O'Donnell, Markku S Nieminen, Deborah A Nickerson, Grant W Montgomery, Wendy McArdle, David Masson, Nicholas G Martin, Fabio Marroni, Gavin Lucas, Robert Luben, Marja-Liisa Lokki, Guillaume Lettre, Lenore J Launer, Edward G Lakatta, Reijo Laaksonen, Kirsten O Kyvik, Inke R König, Kay-Tee Khaw, Lee M Kaplan, Åsa Johansson, A Cecile J W Janssens, Wilmar Igl, G Kees Hovingh, Christian Hengstenberg, Aki S Havulinna, Nicholas D Hastie, Tamara B Harris, Talin Haritunians, Alistair S Hall, Leif C Groop, Elena Gonzalez, Nelson B Freimer, Jeanette Erdmann, Kenechi G Ejebe, Angela Döring, Anna F Dominiczak, Serkalem Demissie, Panagiotis Deloukas, Ulf de Faire, Gabriel Crawford, Yii-der I Chen, Mark J Caulfield, S Matthijs Boekholdt, Themistocles L Assimes, Thomas Quertermous, Mark Seielstad, Tien Y Wong, E-Shyong Tai, Alan B Feranil, Christopher W Kuzawa, Herman A Taylor, Stacey B Gabriel, Hilma Holm, Vilmundur Gudnason, Ronald M Krauss, Jose M Ordovas, Patricia B Munroe, Jaspal S Kooner, Alan R Tall, Robert A Hegele, John J P Kastelein, Eric E Schadt, David P Strachan, Muredach P Reilly, Nilesh J Samani, Heribert Schunkert, L Adrienne Cupples, Manjinder S Sandhu, Paul M Ridker, Daniel J Rader, and Sekar Kathiresan
Subjects: Genetics, QH426-470
Abstract: Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p
Published: 2012
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9. Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems.

Author: Josep M Mercader, Montserrat Puiggros, Ayellet V Segrè, Evarist Planet, Eleonora Sorianello, David Sebastian, Sergio Rodriguez-Cuenca, Vicent Ribas, Sílvia Bonàs-Guarch, Sorin Draghici, Chenjing Yang, Sílvia Mora, Antoni Vidal-Puig, Josée Dupuis, DIAGRAM Consortium, Jose C Florez, MITIN Consortium, Antonio Zorzano, and David Torrents
Subjects: Genetics, QH426-470
Abstract: Type 2 Diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting the notion that a crosstalk between mitochondria and the insulin signaling cascade could be involved in the etiology of T2D and insulin resistance. In this study we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered, and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses, and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the genome-wide association study meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found modest enrichment of genes associated with T2D amongst our linker genes (p = 0.0549), including three already validated T2D SNPs and 15 additional SNPs, which, when combined, were collectively associated to increased fasting glucose levels according to MAGIC genome wide meta-analysis (p = 8.12×10(-5)). This study highlights the potential of combining systems biology, experimental, and genome-wide association data mining for identifying novel genes and related variants that increase vulnerability to complex diseases.
Published: 2012
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10. Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations.

Author: Ayşe Demirkan, Cornelia M van Duijn, Peter Ugocsai, Aaron Isaacs, Peter P Pramstaller, Gerhard Liebisch, James F Wilson, Åsa Johansson, Igor Rudan, Yurii S Aulchenko, Anatoly V Kirichenko, A Cecile J W Janssens, Ritsert C Jansen, Carsten Gnewuch, Francisco S Domingues, Cristian Pattaro, Sarah H Wild, Inger Jonasson, Ozren Polasek, Irina V Zorkoltseva, Albert Hofman, Lennart C Karssen, Maksim Struchalin, James Floyd, Wilmar Igl, Zrinka Biloglav, Linda Broer, Arne Pfeufer, Irene Pichler, Susan Campbell, Ghazal Zaboli, Ivana Kolcic, Fernando Rivadeneira, Jennifer Huffman, Nicholas D Hastie, Andre Uitterlinden, Lude Franke, Christopher S Franklin, Veronique Vitart, DIAGRAM Consortium, Christopher P Nelson, Michael Preuss, CARDIoGRAM Consortium, Joshua C Bis, Christopher J O'Donnell, Nora Franceschini, CHARGE Consortium, Jacqueline C M Witteman, Tatiana Axenovich, Ben A Oostra, Thomas Meitinger, Andrew A Hicks, Caroline Hayward, Alan F Wright, Ulf Gyllensten, Harry Campbell, Gerd Schmitz, and EUROSPAN consortium
Subjects: Genetics, QH426-470
Abstract: Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their metabolism leads to several diseases, with diverse neurological, psychiatric, and metabolic consequences. A large number of phospholipid and sphingolipid species can be detected and measured in human plasma. We conducted a meta-analysis of five European family-based genome-wide association studies (N = 4034) on plasma levels of 24 sphingomyelins (SPM), 9 ceramides (CER), 57 phosphatidylcholines (PC), 20 lysophosphatidylcholines (LPC), 27 phosphatidylethanolamines (PE), and 16 PE-based plasmalogens (PLPE), as well as their proportions in each major class. This effort yielded 25 genome-wide significant loci for phospholipids (smallest P-value = 9.88×10(-204)) and 10 loci for sphingolipids (smallest P-value = 3.10×10(-57)). After a correction for multiple comparisons (P-value
Published: 2012
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11. Circadian gene variants and susceptibility to type 2 diabetes: a pilot study.

Author: M Ann Kelly, Simon D Rees, M Zafar I Hydrie, A Samad Shera, Srikanth Bellary, J Paul O'Hare, Sudhesh Kumar, Shahrad Taheri, Abdul Basit, Anthony H Barnett, DIAGRAM Consortium, and SAT2D Consortium
Subjects: Medicine, Science
Abstract: Disruption of endogenous circadian rhythms has been shown to increase the risk of developing type 2 diabetes, suggesting that circadian genes might play a role in determining disease susceptibility. We present the results of a pilot study investigating the association between type 2 diabetes and selected single nucleotide polymorphisms (SNPs) in/near nine circadian genes. The variants were chosen based on their previously reported association with prostate cancer, a disease that has been suggested to have a genetic link with type 2 diabetes through a number of shared inherited risk determinants.The pilot study was performed using two genetically homogeneous Punjabi cohorts, one resident in the United Kingdom and one indigenous to Pakistan. Subjects with (N = 1732) and without (N = 1780) type 2 diabetes were genotyped for thirteen circadian variants using a competitive allele-specific polymerase chain reaction method. Associations between the SNPs and type 2 diabetes were investigated using logistic regression. The results were also combined with in silico data from other South Asian datasets (SAT2D consortium) and white European cohorts (DIAGRAM+) using meta-analysis. The rs7602358G allele near PER2 was negatively associated with type 2 diabetes in our Punjabi cohorts (combined odds ratio [OR] = 0.75 [0.66-0.86], p = 3.18 × 10(-5)), while the BMAL1 rs11022775T allele was associated with an increased risk of the disease (combined OR = 1.22 [1.07-1.39], p = 0.003). Neither of these associations was replicated in the SAT2D or DIAGRAM+ datasets, however. Meta-analysis of all the cohorts identified disease associations with two variants, rs2292912 in CRY2 and rs12315175 near CRY1, although statistical significance was nominal (combined OR = 1.05 [1.01-1.08], p = 0.008 and OR = 0.95 [0.91-0.99], p = 0.015 respectively).None of the selected circadian gene variants was associated with type 2 diabetes with study-wide significance after meta-analysis. The nominal association observed with the CRY2 SNP, however, complements previous findings and confirms a role for this locus in disease susceptibility.
Published: 2012
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12. A genome-wide association search for type 2 diabetes genes in African Americans.

Author: Nicholette D Palmer, Caitrin W McDonough, Pamela J Hicks, Bong H Roh, Maria R Wing, S Sandy An, Jessica M Hester, Jessica N Cooke, Meredith A Bostrom, Megan E Rudock, Matthew E Talbert, Joshua P Lewis, DIAGRAM Consortium, MAGIC Investigators, Assiamira Ferrara, Lingyi Lu, Julie T Ziegler, Michele M Sale, Jasmin Divers, Daniel Shriner, Adebowale Adeyemo, Charles N Rotimi, Maggie C Y Ng, Carl D Langefeld, Barry I Freedman, Donald W Bowden, Benjamin F Voight, Laura J Scott, Valgerdur Steinthorsdottir, Andrew P Morris, Christian Dina, Ryan P Welch, Eleftheria Zeggini, Cornelia Huth, Yurii S Aulchenko, Gudmar Thorleifsson, Laura J McCulloch, Teresa Ferreira, Harald Grallert, Najaf Amin, Guanming Wu, Cristen J Willer, Soumya Raychaudhuri, Steve A McCarroll, Claudia Langenberg, Oliver M Hofmann, Josée Dupuis, Lu Qi, Ayellet V Segrè, Mandy van Hoek, Pau Navarro, Kristin Ardlie, Beverley Balkau, Rafn Benediktsson, Amanda J Bennett, Roza Blagieva, Eric Boerwinkle, Lori L Bonnycastle, Kristina Bengtsson Boström, Bert Bravenboer, Suzannah Bumpstead, Noël P Burtt, Guillaume Charpentier, Peter S Chines, Marilyn Cornelis, David J Couper, Gabe Crawford, Alex S F Doney, Katherine S Elliott, Amanda L Elliott, Michael R Erdos, Caroline S Fox, Christopher S Franklin, Martha Ganser, Christian Gieger, Niels Grarup, Todd Green, Simon Griffin, Christopher J Groves, Candace Guiducci, Samy Hadjadj, Neelam Hassanali, Christian Herder, Bo Isomaa, Anne U Jackson, Paul R V Johnson, Torben Jørgensen, Wen H L Kao, Norman Klopp, Augustine Kong, Peter Kraft, Johanna Kuusisto, Torsten Lauritzen, Man Li, Aloysius Lieverse, Cecilia M Lindgren, Valeriya Lyssenko, Michel Marre, Thomas Meitinger, Kristian Midthjell, Mario A Morken, Narisu Narisu, Peter Nilsson, Katharine R Owen, Felicity Payne, John R B Perry, Ann-Kristin Petersen, Carl Platou, Christine Proença, Inga Prokopenko, Wolfgang Rathmann, N William Rayner, Neil R Robertson, Ghislain Rocheleau, Michael Roden, Michael J Sampson, Richa Saxena, Beverley M Shields, Peter Shrader, Gunnar Sigurdsson, Thomas Sparsø, Klaus Strassburger, Heather M Stringham, Qi Sun, Amy J Swift, Barbara Thorand, Jean Tichet, Tiinamaija Tuomi, Rob M van Dam, Timon W van Haeften, Thijs van Herpt, Jana V van Vliet-Ostaptchouk, G Bragi Walters, Michael N Weedon, Cisca Wijmenga, Jacqueline Witteman, Richard N Bergman, Stephane Cauchi, Francis S Collins, Anna L Gloyn, Ulf Gyllensten, Torben Hansen, Winston A Hide, Graham A Hitman, Albert Hofman, David J Hunter, Kristian Hveem, Markku Laakso, Karen L Mohlke, Andrew D Morris, Colin N A Palmer, Peter P Pramstaller, Igor Rudan, Eric Sijbrands, Lincoln D Stein, Jaakko Tuomilehto, Andre Uitterlinden, Mark Walker, Nicholas J Wareham, Richard M Watanabe, Goncalo R Abecasis, Bernhard O Boehm, Harry Campbell, Mark J Daly, Andrew T Hattersley, Frank B Hu, James B Meigs, James S Pankow, Oluf Pedersen, H-Erich Wichmann, Inês Barroso, Jose C Florez, Timothy M Frayling, Leif Groop, Rob Sladek, Unnur Thorsteinsdottir, James F Wilson, Thomas Illig, Philippe Froguel, Cornelia M van Duijn, Kari Stefansson, David Altshuler, Michael Boehnke, Mark I McCarthy, Nicole Soranzo, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Reedik Mägi, Joshua Randall, Toby Johnson, Paul Elliott, Denis Rybin, Peter Henneman, Abbas Dehghan, Jouke Jan Hottenga, Kijoung Song, Anuj Goel, Josephine M Egan, Taina Lajunen, Alex Doney, Stavroula Kanoni, Christine Cavalcanti-Proença, Meena Kumari, Nicholas J Timpson, Carina Zabena, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Yavuz Ariyurek, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Sven Bergmann, Murielle Bochud, Amélie Bonnefond, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Yii-Der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jerome Delplanque, Annette C Fedson, Antje Fischer-Rosinsky, Nita G Forouhi, Rune Frants, Maria Grazia Franzosi, Pilar Galan, Mark O Goodarzi, Jürgen Graessler, Scott Grundy, Rhian Gwilliam, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Caroline Hayward, Simon C Heath, Serge Hercberg, Andrew A Hicks, David R Hillman, Aroon D Hingorani, Jennie Hui, Joe Hung, Antti Jula, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesaniemi, Mika Kivimaki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Robert Mahley, Massimo Mangino, Alisa K Manning, María Teresa Martínez-Larrad, Jarred B McAteer, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Sutapa Mukherjee, Silvia Naitza, Matthew J Neville, Ben A Oostra, Marco Orrù, Ruth Pakyz, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Markus Perola, Andreas F H Pfeiffer, Irene Pichler, Ozren Polasek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Bruce M Psaty, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Udo Seedorf, Stephen J Sharp, Beverley Shields, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Toshiko Tanaka, Anke Tönjes, André G Uitterlinden, Ko Willems van Dijk, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, Kim L Ward, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, Ingrid B Borecki, Ruth J F Loos, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Kaisa Silander, Veikko Salomaa, George Davey Smith, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, George V Dedoussis, Manuel Serrano-Ríos, Lars Lind, Lyle J Palmer, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, Peter Paul Pramstaller, Alan F Wright, Michael Stumvoll, Anders Hamsten, Thomas A Buchanan, Timo T Valle, Jerome I Rotter, David S Siscovick, Brenda W J H Penninx, Dorret I Boomsma, Panos Deloukas, Timothy D Spector, Luigi Ferrucci, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Jarvelin, Dawn M Waterworth, Peter Vollenweider, Leena Peltonen, Vincent Mooser, and Robert Sladek
Subjects: Medicine, Science
Abstract: African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P
Published: 2012
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13. Studies of the association of Arg72Pro of tumor suppressor protein p53 with type 2 diabetes in a combined analysis of 55,521 Europeans.

Author: Kristoffer Sølvsten Burgdorf, Niels Grarup, Johanne Marie Justesen, Marie Neergaard Harder, Daniel Rinse Witte, Torben Jørgensen, Annelli Sandbæk, Torsten Lauritzen, Sten Madsbad, Torben Hansen, DIAGRAM Consortium, and Oluf Pedersen
Subjects: Medicine, Science
Abstract: A study of 222 candidate genes in type 2 diabetes reported association of variants in RAPGEF1, ENPP1, TP53, NRF1, SLC2A2, SLC2A4 and FOXC2 with type 2 diabetes in 4,805 Finnish individuals. We aimed to replicate these associations in a Danish case-control study and to substantiate any replicated associations in meta-analyses. Furthermore, we evaluated the impact on diabetes-related intermediate traits in a population-based sample of middle-aged Danes.We genotyped nine lead variants in the seven genes in 4,973 glucose-tolerant and 3,612 type 2 diabetes Danish individuals. In meta-analyses we combined case-control data from the DIAGRAM+ Consortium (n = 47,117) and the present genotyping results. The quantitative trait studies involved 5,882 treatment-naive individuals from the Danish Inter99 study.None of the nine investigated variants were significantly associated with type 2 diabetes in the Danish samples. However, for all nine variants the estimate of increase in type 2 diabetes risk was observed for the same allele as previously reported. In a meta-analysis of published and online data including 55,521 Europeans the G-allele of rs1042522 in TP53 showed significant association with type 2 diabetes (OR = 1.06 95% CI 1.02-1.11, p = 0.0032). No substantial associations with diabetes-related intermediary phenotypes were found.The G-allele of TP53 rs1042522 is associated with an increased prevalence of type 2 diabetes in a combined analysis of 55,521 Europeans.
Published: 2011
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14. Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits.

Author: Ayellet V Segrè, DIAGRAM Consortium, MAGIC investigators, Leif Groop, Vamsi K Mootha, Mark J Daly, and David Altshuler
Subjects: Genetics, QH426-470
Abstract: Mitochondrial dysfunction has been observed in skeletal muscle of people with diabetes and insulin-resistant individuals. Furthermore, inherited mutations in mitochondrial DNA can cause a rare form of diabetes. However, it is unclear whether mitochondrial dysfunction is a primary cause of the common form of diabetes. To date, common genetic variants robustly associated with type 2 diabetes (T2D) are not known to affect mitochondrial function. One possibility is that multiple mitochondrial genes contain modest genetic effects that collectively influence T2D risk. To test this hypothesis we developed a method named Meta-Analysis Gene-set Enrichment of variaNT Associations (MAGENTA; http://www.broadinstitute.org/mpg/magenta). MAGENTA, in analogy to Gene Set Enrichment Analysis, tests whether sets of functionally related genes are enriched for associations with a polygenic disease or trait. MAGENTA was specifically designed to exploit the statistical power of large genome-wide association (GWA) study meta-analyses whose individual genotypes are not available. This is achieved by combining variant association p-values into gene scores and then correcting for confounders, such as gene size, variant number, and linkage disequilibrium properties. Using simulations, we determined the range of parameters for which MAGENTA can detect associations likely missed by single-marker analysis. We verified MAGENTA's performance on empirical data by identifying known relevant pathways in lipid and lipoprotein GWA meta-analyses. We then tested our mitochondrial hypothesis by applying MAGENTA to three gene sets: nuclear regulators of mitochondrial genes, oxidative phosphorylation genes, and approximately 1,000 nuclear-encoded mitochondrial genes. The analysis was performed using the most recent T2D GWA meta-analysis of 47,117 people and meta-analyses of seven diabetes-related glycemic traits (up to 46,186 non-diabetic individuals). This well-powered analysis found no significant enrichment of associations to T2D or any of the glycemic traits in any of the gene sets tested. These results suggest that common variants affecting nuclear-encoded mitochondrial genes have at most a small genetic contribution to T2D susceptibility.
Published: 2010
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15. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials

Author: Swerdlow, Daniel I, Preiss, David, Kuchenbaecker, Karoline B, Holmes, Michael V, Engmann, Jorgen EL, Shah, Tina, Sofat, Reecha, Stender, Stefan, Johnson, Paul CD, Scott, Robert A, Leusink, Maarten, Verweij, Niek, Sharp, Stephen J, Guo, Yiran, Giambartolomei, Claudia, Chung, Christina, Peasey, Anne, Amuzu, Antoinette, Li, KaWah, Palmen, Jutta, Howard, Philip, Cooper, Jackie A, Drenos, Fotios, Li, Yun R, Lowe, Gordon, Gallacher, John, Stewart, Marlene CW, Tzoulaki, Ioanna, Buxbaum, Sarah G, van der A, Daphne L, Forouhi, Nita G, Onland-Moret, N Charlotte, van der Schouw, Yvonne T, Schnabel, Renate B, Hubacek, Jaroslav A, Kubinova, Ruzena, Baceviciene, Migle, Tamosiunas, Abdonas, Pajak, Andrzej, Topor-Madry, Romanvan, Stepaniak, Urszula, Malyutina, Sofia, Baldassarre, Damiano, Sennblad, Bengt, Tremoli, Elena, de Faire, Ulf, Veglia, Fabrizio, Ford, Ian, Jukema, J Wouter, Westendorp, Rudi GJ, de Borst, Gert Jan, de Jong, Pim A, Algra, Ale, Spiering, Wilko, der Zee, Anke H Maitland-van, Klungel, Olaf H, de Boer, Anthonius, Doevendans, Pieter A, Eaton, Charles B, Robinson, Jennifer G, Duggan, David, DIAGRAM Consortium, MAGIC Consortium, Kjekshus, John, Downs, John R, Gotto, Antonio M, Keech, Anthony C, Marchioli, Roberto, Tognoni, Gianni, Sever, Peter S, Poulter, Neil R, Waters, David D, Pedersen, Terje R, Amarenco, Pierre, Nakamura, Haruo, McMurray, John JV, Lewsey, James D, Chasman, Daniel I, Ridker, Paul M, Maggioni, Aldo P, Tavazzi, Luigi, Ray, Kausik K, Seshasai, Sreenivasa Rao Kondapally, Manson, JoAnn E, Price, Jackie F, Whincup, Peter H, Morris, Richard W, Lawlor, Debbie A, Smith, George Davey, Ben-Shlomo, Yoav, Schreiner, Pamela J, Fornage, Myriam, Siscovick, David S, Cushman, Mary, Kumari, Meena, Wareham, Nick J, Verschuren, WM Monique, Redline, Susan, Patel, Sanjay R, Whittaker, John C, and Hamsten, Anders
Subjects: Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Clinical Trials and Supportive Activities, Clinical Research, Genetics, Nutrition, Diabetes, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Metabolic and endocrine, Aged, Body Mass Index, Body Weight, Cholesterol, HDL, Cholesterol, LDL, Diabetes Mellitus, Type 2, Female, Genetic Testing, Humans, Hydroxymethylglutaryl CoA Reductases, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, Polymorphism, Single Nucleotide, Randomized Controlled Trials as Topic, Risk Factors, DIAGRAM Consortium, MAGIC Consortium, InterAct Consortium, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundStatins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target.MethodsWe used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis.FindingsData were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0·06 mmol/L (95% CI 0·05-0·07) lower LDL cholesterol and higher body weight (0·30 kg, 0·18-0·43), waist circumference (0·32 cm, 0·16-0·47), plasma insulin concentration (1·62%, 0·53-2·72), and plasma glucose concentration (0·23%, 0·02-0·44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1·02, 95% CI 1·00-1·05); the rs12916-T allele association was consistent (1·06, 1·03-1·09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0·92 mmol/L (95% CI 0·18-1·67) at 1-year of follow-up, increased bodyweight by 0·24 kg (95% CI 0·10-0·38 in all trials; 0·33 kg, 95% CI 0·24-0·42 in placebo or standard care controlled trials and -0·15 kg, 95% CI -0·39 to 0·08 in intensive-dose vs moderate-dose trials) at a mean of 4·2 years (range 1·9-6·7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1·12, 95% CI 1·06-1·18 in all trials; 1·11, 95% CI 1·03-1·20 in placebo or standard care controlled trials and 1·12, 95% CI 1·04-1·22 in intensive-dose vs moderate dose trials).InterpretationThe increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition.FundingThe funding sources are cited at the end of the paper.
Published: 2015

16. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.

Author: Ng, Maggie CY, Shriner, Daniel, Chen, Brian H, Li, Jiang, Chen, Wei-Min, Guo, Xiuqing, Liu, Jiankang, Bielinski, Suzette J, Yanek, Lisa R, Nalls, Michael A, Comeau, Mary E, Rasmussen-Torvik, Laura J, Jensen, Richard A, Evans, Daniel S, Sun, Yan V, An, Ping, Patel, Sanjay R, Lu, Yingchang, Long, Jirong, Armstrong, Loren L, Wagenknecht, Lynne, Yang, Lingyao, Snively, Beverly M, Palmer, Nicholette D, Mudgal, Poorva, Langefeld, Carl D, Keene, Keith L, Freedman, Barry I, Mychaleckyj, Josyf C, Nayak, Uma, Raffel, Leslie J, Goodarzi, Mark O, Chen, Y-D Ida, Taylor, Herman A, Correa, Adolfo, Sims, Mario, Couper, David, Pankow, James S, Boerwinkle, Eric, Adeyemo, Adebowale, Doumatey, Ayo, Chen, Guanjie, Mathias, Rasika A, Vaidya, Dhananjay, Singleton, Andrew B, Zonderman, Alan B, Igo, Robert P, Sedor, John R, FIND Consortium, Kabagambe, Edmond K, Siscovick, David S, McKnight, Barbara, Rice, Kenneth, Liu, Yongmei, Hsueh, Wen-Chi, Zhao, Wei, Bielak, Lawrence F, Kraja, Aldi, Province, Michael A, Bottinger, Erwin P, Gottesman, Omri, Cai, Qiuyin, Zheng, Wei, Blot, William J, Lowe, William L, Pacheco, Jennifer A, Crawford, Dana C, eMERGE Consortium, DIAGRAM Consortium, Grundberg, Elin, MuTHER Consortium, Rich, Stephen S, Hayes, M Geoffrey, Shu, Xiao-Ou, Loos, Ruth JF, Borecki, Ingrid B, Peyser, Patricia A, Cummings, Steven R, Psaty, Bruce M, Fornage, Myriam, Iyengar, Sudha K, Evans, Michele K, Becker, Diane M, Kao, WH Linda, Wilson, James G, Rotter, Jerome I, Sale, Michèle M, Liu, Simin, Rotimi, Charles N, Bowden, Donald W, and MEta-analysis of type 2 DIabetes in African Americans Consortium
Subjects: FIND Consortium, eMERGE Consortium, DIAGRAM Consortium, MuTHER Consortium, MEta-analysis of type 2 DIabetes in African Americans Consortium, Humans, Diabetes Mellitus, Type 2, HMGA2 Protein, HLA-B27 Antigen, Polymorphism, Single Nucleotide, African Americans, Mutant Chimeric Proteins, KCNQ1 Potassium Channel, Genome-Wide Association Study, Transcription Factor 7-Like 2 Protein, Human Genome, Diabetes, Genetics, 2.1 Biological and endogenous factors, Metabolic and endocrine, Developmental Biology
Abstract: Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)
Published: 2014

17. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

Author: DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Mahajan, Anubha, Go, Min Jin, Zhang, Weihua, Below, Jennifer E, Gaulton, Kyle J, Ferreira, Teresa, Horikoshi, Momoko, Johnson, Andrew D, Ng, Maggie CY, Prokopenko, Inga, Saleheen, Danish, Wang, Xu, Zeggini, Eleftheria, Abecasis, Goncalo R, Adair, Linda S, Almgren, Peter, Atalay, Mustafa, Aung, Tin, Baldassarre, Damiano, Balkau, Beverley, Bao, Yuqian, Barnett, Anthony H, Barroso, Ines, Basit, Abdul, Been, Latonya F, Beilby, John, Bell, Graeme I, Benediktsson, Rafn, Bergman, Richard N, Boehm, Bernhard O, Boerwinkle, Eric, Bonnycastle, Lori L, Burtt, Noël, Cai, Qiuyin, Campbell, Harry, Carey, Jason, Cauchi, Stephane, Caulfield, Mark, Chan, Juliana CN, Chang, Li-Ching, Chang, Tien-Jyun, Chang, Yi-Cheng, Charpentier, Guillaume, Chen, Chien-Hsiun, Chen, Han, Chen, Yuan-Tsong, Chia, Kee-Seng, Chidambaram, Manickam, Chines, Peter S, Cho, Nam H, Cho, Young Min, Chuang, Lee-Ming, Collins, Francis S, Cornelis, Marylin C, Couper, David J, Crenshaw, Andrew T, van Dam, Rob M, Danesh, John, Das, Debashish, de Faire, Ulf, Dedoussis, George, Deloukas, Panos, Dimas, Antigone S, Dina, Christian, Doney, Alex S, Donnelly, Peter J, Dorkhan, Mozhgan, van Duijn, Cornelia, Dupuis, Josée, Edkins, Sarah, Elliott, Paul, Emilsson, Valur, Erbel, Raimund, Eriksson, Johan G, Escobedo, Jorge, Esko, Tonu, Eury, Elodie, Florez, Jose C, Fontanillas, Pierre, Forouhi, Nita G, Forsen, Tom, Fox, Caroline, Fraser, Ross M, Frayling, Timothy M, Froguel, Philippe, Frossard, Philippe, Gao, Yutang, Gertow, Karl, Gieger, Christian, Gigante, Bruna, Grallert, Harald, Grant, George B, Grrop, Leif C, and Groves, Chrisropher J
Subjects: DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Risk Factors, Case-Control Studies, Polymorphism, Single Nucleotide, Alleles, Asian Continental Ancestry Group, European Continental Ancestry Group, Hispanic Americans, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
Published: 2014

18. Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes

Author: Albrechtsen, A, Grarup, N, Li, Y, Sparsø, T, Tian, G, Cao, H, Jiang, T, Kim, SY, Korneliussen, T, Li, Q, Nie, C, Wu, R, Skotte, L, Morris, AP, Ladenvall, C, Cauchi, S, Stančáková, A, Andersen, G, Astrup, A, Banasik, K, Bennett, AJ, Bolund, L, Charpentier, G, Chen, Y, Dekker, JM, Doney, ASF, Dorkhan, M, Forsen, T, Frayling, TM, Groves, CJ, Gui, Y, Hallmans, G, Hattersley, AT, He, K, Hitman, GA, Holmkvist, J, Huang, S, Jiang, H, Jin, X, Justesen, JM, Kristiansen, K, Kuusisto, J, Lajer, M, Lantieri, O, Li, W, Liang, H, Liao, Q, Liu, X, Ma, T, Ma, X, Manijak, MP, Marre, M, Mokrosiński, J, Morris, AD, Mu, B, Nielsen, AA, Nijpels, G, Nilsson, P, Palmer, CNA, Rayner, NW, Renström, F, Ribel-Madsen, R, Robertson, N, Rolandsson, O, Rossing, P, Schwartz, TW, Slagboom, PE, Sterner, M, D.E.S.I.R. Study Group, Tang, M, Tarnow, L, the DIAGRAM Consortium, Tuomi, T, van’t Riet, E, van Leeuwen, N, Varga, TV, Vestmar, MA, Walker, M, Wang, B, Wang, Y, Wu, H, Xi, F, Yengo, L, Yu, C, Zhang, X, Zhang, J, Zhang, Q, Zhang, W, Zheng, H, Zhou, Y, Altshuler, D, ‘t Hart, LM, Franks, PW, Balkau, B, Froguel, P, McCarthy, MI, Laakso, M, Groop, L, Christensen, C, and Brandslund, I
Subjects: Diabetes, Human Genome, Nutrition, Genetics, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Diabetes Mellitus, Type 2, Exome, Gene Frequency, Genotype, High-Throughput Nucleotide Sequencing, Humans, Hypertension, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Exome sequencing, Genetic epidemiology, Lipids, Next-generation sequencing, Obesity, Type 2 diabetes, D.E.S.I.R. Study Group, DIAGRAM Consortium, Clinical Sciences, Paediatrics and Reproductive Medicine, Public Health and Health Services, Endocrinology & Metabolism
Abstract: Aims/hypothesisHuman complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes.MethodsThe study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p 1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p = 8.5 × 10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p = 1.2 × 10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p = 8.2 × 10(-10)).Conclusions/interpretationWe applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits.
Published: 2013

19. A genome-wide association search for type 2 diabetes genes in African Americans.

Author: Palmer, Nicholette D, McDonough, Caitrin W, Hicks, Pamela J, Roh, Bong H, Wing, Maria R, An, S Sandy, Hester, Jessica M, Cooke, Jessica N, Bostrom, Meredith A, Rudock, Megan E, Talbert, Matthew E, Lewis, Joshua P, DIAGRAM Consortium, MAGIC Investigators, Ferrara, Assiamira, Lu, Lingyi, Ziegler, Julie T, Sale, Michele M, Divers, Jasmin, Shriner, Daniel, Adeyemo, Adebowale, Rotimi, Charles N, Ng, Maggie CY, Langefeld, Carl D, Freedman, Barry I, Bowden, Donald W, Voight, Benjamin F, Scott, Laura J, Steinthorsdottir, Valgerdur, Morris, Andrew P, Dina, Christian, Welch, Ryan P, Zeggini, Eleftheria, Huth, Cornelia, Aulchenko, Yurii S, Thorleifsson, Gudmar, McCulloch, Laura J, Ferreira, Teresa, Grallert, Harald, Amin, Najaf, Wu, Guanming, Willer, Cristen J, Raychaudhuri, Soumya, McCarroll, Steve A, Langenberg, Claudia, Hofmann, Oliver M, Dupuis, Josée, Qi, Lu, Segrè, Ayellet V, van Hoek, Mandy, Navarro, Pau, Ardlie, Kristin, Balkau, Beverley, Benediktsson, Rafn, Bennett, Amanda J, Blagieva, Roza, Boerwinkle, Eric, Bonnycastle, Lori L, Boström, Kristina Bengtsson, Bravenboer, Bert, Bumpstead, Suzannah, Burtt, Noël P, Charpentier, Guillaume, Chines, Peter S, Cornelis, Marilyn, Couper, David J, Crawford, Gabe, Doney, Alex SF, Elliott, Katherine S, Elliott, Amanda L, Erdos, Michael R, Fox, Caroline S, Franklin, Christopher S, Ganser, Martha, Gieger, Christian, Grarup, Niels, Green, Todd, Griffin, Simon, Groves, Christopher J, Guiducci, Candace, Hadjadj, Samy, Hassanali, Neelam, Herder, Christian, Isomaa, Bo, Jackson, Anne U, Johnson, Paul RV, Jørgensen, Torben, Kao, Wen HL, Klopp, Norman, Kong, Augustine, Kraft, Peter, Kuusisto, Johanna, Lauritzen, Torsten, Li, Man, Lieverse, Aloysius, Lindgren, Cecilia M, Lyssenko, Valeriya, Marre, Michel, Meitinger, Thomas, and Midthjell, Kristian
Subjects: DIAGRAM Consortium, MAGIC Investigators, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Case-Control Studies, Cohort Studies, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, African Americans, Female, Male, Meta-Analysis as Topic, Validation Studies as Topic, Genome-Wide Association Study, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, General Science & Technology
Abstract: African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P
Published: 2012

20. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes.

Author: Strawbridge, Rona J, Dupuis, Josée, Prokopenko, Inga, Barker, Adam, Ahlqvist, Emma, Rybin, Denis, Petrie, John R, Travers, Mary E, Bouatia-Naji, Nabila, Dimas, Antigone S, Nica, Alexandra, Wheeler, Eleanor, Chen, Han, Voight, Benjamin F, Taneera, Jalal, Kanoni, Stavroula, Peden, John F, Turrini, Fabiola, Gustafsson, Stefan, Zabena, Carina, Almgren, Peter, Barker, David JP, Barnes, Daniel, Dennison, Elaine M, Eriksson, Johan G, Eriksson, Per, Eury, Elodie, Folkersen, Lasse, Fox, Caroline S, Frayling, Timothy M, Goel, Anuj, Gu, Harvest F, Horikoshi, Momoko, Isomaa, Bo, Jackson, Anne U, Jameson, Karen A, Kajantie, Eero, Kerr-Conte, Julie, Kuulasmaa, Teemu, Kuusisto, Johanna, Loos, Ruth JF, Luan, Jian'an, Makrilakis, Konstantinos, Manning, Alisa K, Martínez-Larrad, María Teresa, Narisu, Narisu, Nastase Mannila, Maria, Ohrvik, John, Osmond, Clive, Pascoe, Laura, Payne, Felicity, Sayer, Avan A, Sennblad, Bengt, Silveira, Angela, Stancáková, Alena, Stirrups, Kathy, Swift, Amy J, Syvänen, Ann-Christine, Tuomi, Tiinamaija, van 't Hooft, Ferdinand M, Walker, Mark, Weedon, Michael N, Xie, Weijia, Zethelius, Björn, DIAGRAM Consortium, GIANT Consortium, MuTHER Consortium, CARDIoGRAM Consortium, C4D Consortium, Ongen, Halit, Mälarstig, Anders, Hopewell, Jemma C, Saleheen, Danish, Chambers, John, Parish, Sarah, Danesh, John, Kooner, Jaspal, Ostenson, Claes-Göran, Lind, Lars, Cooper, Cyrus C, Serrano-Ríos, Manuel, Ferrannini, Ele, Forsen, Tom J, Clarke, Robert, Franzosi, Maria Grazia, Seedorf, Udo, Watkins, Hugh, Froguel, Philippe, Johnson, Paul, Deloukas, Panos, Collins, Francis S, Laakso, Markku, Dermitzakis, Emmanouil T, Boehnke, Michael, McCarthy, Mark I, Wareham, Nicholas J, Groop, Leif, Pattou, François, Gloyn, Anna L, and Dedoussis, George V
Subjects: DIAGRAM Consortium, GIANT Consortium, MuTHER Consortium, CARDIoGRAM Consortium, C4D Consortium, Humans, Diabetes Mellitus, Type 2, Insulin, Proinsulin, Fasting, Genotype, Polymorphism, Single Nucleotide, Genome, Human, Adult, Female, Male, Genetic Variation, Diabetes Mellitus, Type 2, Polymorphism, Single Nucleotide, Genome, Human, Endocrinology & Metabolism, Medical and Health Sciences
Abstract: ObjectiveProinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology.Research design and methodsWe have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates.ResultsNine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10(-8)). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10(-4)), improved β-cell function (P = 1.1 × 10(-5)), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10(-6)). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets.ConclusionsWe have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
Published: 2011

21. Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4

Author: Ma, R. C. W., Hu, C., Tam, C. H., Zhang, R., Kwan, P., Leung, T. F., Thomas, G. N., Go, M. J., Hara, K., Sim, X., Ho, J. S. K., Wang, C., Li, H., Lu, L., Wang, Y., Li, J. W., Wang, Y., Lam, V. K. L., Wang, J., Yu, W., Kim, Y. J., Ng, D. P., Fujita, H., Panoutsopoulou, K., Day-Williams, A. G., Lee, H. M., Ng, A. C. W., Fang, Y-J., Kong, A. P. S., Jiang, F., Ma, X., Hou, X., Tang, S., Lu, J., Yamauchi, T., Tsui, S. K. W., Woo, J., Leung, P. C., Zhang, X., Tang, N. L. S., Sy, H. Y., Liu, J., Wong, T. Y., Lee, J. Y., Maeda, S., Xu, G., Cherny, S. S., Chan, T. F., Ng, M. C. Y., Xiang, K., Morris, A. P., Keildson, S., Hu, R., Ji, L., Lin, X., Cho, Y. S., Kadowaki, T., Tai, E. S., Zeggini, E., McCarthy, M. I., Hon, K. L., Baum, L., Tomlinson, B., So, W. Y., Bao, Y., Chan, J. C. N., Jia, W., DIAGRAM Consortium, and The MuTHER Consortium
Published: 2013
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22. Genome-wide association study of type 2 diabetes in a sample from Mexico City and a meta-analysis of a Mexican-American sample from Starr County, Texas

Author: Parra, E. J., Below, J. E., Krithika, S., Valladares, A., Barta, J. L., Cox, N. J., Hanis, C. L., Wacher, N., Garcia-Mena, J., Hu, P., Shriver, M. D., Kumate, J., McKeigue, P. M., Escobedo, J., Cruz, M., and Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium
Published: 2011
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23. Type 2 diabetes risk allele near CENTD2 is associated with decreased glucose-stimulated insulin release

Author: Nielsen, T., Sparsø, T., Grarup, N., Jørgensen, T., Pisinger, C., Witte, D. R., Hansen, T., Pedersen, O., and Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium
Published: 2011
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24. A role for coding functional variants in HNF4A in type 2 diabetes susceptibility

Author: Jafar-Mohammadi, B., Groves, C. J., Gjesing, A. P., Herrera, B. M., Winckler, W., Stringham, H. M., Morris, A. P., Lauritzen, T., Doney, A. S. F., Morris, A. D., Weedon, M. N., Swift, A. J., Kuusisto, J., Laakso, M., Altshuler, D., Hattersley, A. T., Collins, F. S., Boehnke, M., Hansen, T., Pedersen, O., Palmer, C. N. A., Frayling, T. M., Gloyn, A. L., McCarthy, M. I., and DIAGRAM Consortium
Published: 2011
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25. Circulating β-carotene levels and type 2 diabetes—cause or effect?

Author: Perry, J. R. B., Ferrucci, L., Bandinelli, S., Guralnik, J., Semba, R. D., Rice, N., Melzer, D., Saxena, R., Scott, L. J., McCarthy, M. I., Hattersley, A. T., Zeggini, E., Weedon, M. N., Frayling, T. M., and the DIAGRAM Consortium
Published: 2009
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26. Gene variants influencing measures of inflammation or predisposing to autoimmune and inflammatory diseases are not associated with the risk of type 2 diabetes

Author: Rafiq, S., Melzer, D., Weedon, M. N., Lango, H., Saxena, R., Scott, L. J., Palmer, C. N. A., Morris, A. D., McCarthy, M. I., Ferrucci, L., Hattersley, A. T., Zeggini, E., Frayling, T. M., and the DIAGRAM Consortium
Published: 2008
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27. Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations

Author: Demirkan, Ayşe, Van Duijn, Cornelia M, Ugocsai, Peter, Isaacs, Aaron, Pramstaller, Peter P, Liebisch, Gerhard, Wilson, James F, Johansson, Åsa, Rudan, Igor, Aulchenko, Yurii S, Kirichenko, Anatoly V, Janssens, A Cecile JW, Jansen, Ritsert C, Gnewuch, Carsten, Domingues, Francisco S, Pattaro, Cristian, Wild, Sarah H, Jonasson, Inger, Polasek, Ozren, Zorkoltseva, Irina V, Hofman, Albert, Karssen, Lennart C, Struchalin, Maksim, Floyd, James, Igl, Wilmar, Biloglav, Zrinka, Broer, Linda, Pfeufer, Arne, Pichler, Irene, Campbell, Susan, Zaboli, Ghazal, Kolcic, Ivana, Rivadeneira, Fernando, Huffman, Jennifer, Hastie, Nicholas D, Uitterlinden, Andre, Franke, Lude, Franklin, Christopher S, Vitart, Veronique, DIAGRAM Consortium, Nelson, Christopher P, Preuss, Michael, CARDIoGRAM Consortium, Bis, Joshua C, O'Donnell, Christopher J, Franceschini, Nora, CHARGE Consortium, Witteman, Jacqueline CM, Axenovich, Tatiana, Oostra, Ben A, Meitinger, Thomas, Hicks, Andrew A, Hayward, Caroline, Wright, Alan F, Gyllensten, Ulf, Campbell, Harry, Schmitz, Gerd, and EUROSPAN Consortium
Subjects: Sphingolipids, Delta-5 Fatty Acid Desaturase, Diabetes Mellitus, Type 2, Genetic Loci, Genome, Human, Databases, Genetic, Humans, lipids (amino acids, peptides, and proteins), Carotid Intima-Media Thickness, Polymorphism, Single Nucleotide, Phospholipids, White People, Genome-Wide Association Study
Abstract: Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their metabolism leads to several diseases, with diverse neurological, psychiatric, and metabolic consequences. A large number of phospholipid and sphingolipid species can be detected and measured in human plasma. We conducted a meta-analysis of five European family-based genome-wide association studies (N = 4034) on plasma levels of 24 sphingomyelins (SPM), 9 ceramides (CER), 57 phosphatidylcholines (PC), 20 lysophosphatidylcholines (LPC), 27 phosphatidylethanolamines (PE), and 16 PE-based plasmalogens (PLPE), as well as their proportions in each major class. This effort yielded 25 genome-wide significant loci for phospholipids (smallest P-value = 9.88×10(-204)) and 10 loci for sphingolipids (smallest P-value = 3.10×10(-57)). After a correction for multiple comparisons (P-value
Published: 2018
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28. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

Author: Scott, Robert A, Scott, Laura J, Mägi, Reedik, Marullo, Letizia, Gaulton, Kyle J, Kaakinen, Marika, Pervjakova, Natalia, Pers, Tune H, Johnson, Andrew D, Eicher, John D, Jackson, Anne U, Ferreira, Teresa, Lee, Yeji, Ma, Clement, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Van Zuydam, Natalie R, Mahajan, Anubha, Chen, Han, Almgren, Peter, Voight, Ben F, Grallert, Harald, Müller-Nurasyid, Martina, Ried, Janina S, Rayner, William N, Robertson, Neil, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Fuchsberger, Christian, Kwan, Phoenix, Teslovich, Tanya M, Chanda, Pritam, Li, Man, Lu, Yingchang, Dina, Christian, Thuillier, Dorothee, Yengo, Loic, Jiang, Longda, Sparso, Thomas, Kestler, Hans A, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Frånberg, Mattias, Strawbridge, Rona J, Benediktsson, Rafn, Hreidarsson, Astradur B, van der Schouw, Yvonne T, and DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Subjects: Journal Article
Abstract: To characterise type 2 diabetes (T2D) associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D cases and 132,532 controls of European ancestry after imputation using the 1000 Genomes multi-ethnic reference panel. Promising association signals were followed-up in additional data sets (of 14,545 or 7,397 T2D cases and 38,994 or 71,604 controls). We identified 13 novel T2D-associated loci (p
Published: 2017

29. Genome-wide association study identifies three novel loci for type 2 diabetes

Author: Hara, K., Fujita, H., Johnson, T.A., Yamauchi, T., Yasuda, K., Horikoshi, M., Peng, C., Hu, C., Ma, R.C., Imamura, M., Iwata, M., Tsunoda, T., Morizono, T., Shojima, N., So, W.Y., Leung, T.F., Kwan, P., Zhang, R., Wang, J., Yu, W., Maegawa, H., Hirose, H., DIAGRAM Consortium (Huth, C., Gieger, C., Klopp, N., Meitinger, T., Illig, T., Grallert, H., Thorand, B., Wichmann, H.-E., Petersen, A.-K.), Kaku, K., Ito, C., Watada, H., Tanaka, Y., Tobe, K., Kashiwagi, A., Kawamori, R., Jia, W., Chan, J.C., Teo, Y.Y., Shyong, T.E., Kamatani, N., Kubo, M., Maeda, S., Kadowaki, T., and Internal Medicine
Subjects: Leptin, Monocarboxylic Acid Transporters, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, SDG 3 - Good Health and Well-being, Genotype, Genetics, Humans, Genetic Predisposition to Disease, 1000 Genomes Project, Allele, Molecular Biology, Genetics (clinical), Guanine Nucleotide Dissociation Inhibitors, Genome, Human, Haplotype, Genetic Variation, General Medicine, Odds ratio, MicroRNAs, Diabetes Mellitus, Type 2, Haplotypes, Genetic Loci, Imputation (genetics), Genome-Wide Association Study
Abstract: Although over 60 loci for type 2 diabetes (T2D) have been identified, there still remains a large genetic component to be clarified. To explore unidentified loci for T2D, we performed a genome-wide association study (GWAS) of 6 209 637 single-nucleotide polymorphisms (SNPs), which were directly genotyped or imputed using East Asian references from the 1000 Genomes Project (June 2011 release) in 5976 Japanese patients with T2D and 20 829 nondiabetic individuals. Nineteen unreported loci were selected and taken forward to follow-up analyses. Combined discovery and follow-up analyses (30 392 cases and 34 814 controls) identified three new loci with genome-wide significance, which were MIR129-LEP [rs791595; risk allele = A; risk allele frequency (RAF) = 0.080; P = 2.55 × 10(-13); odds ratio (OR) = 1.17], GPSM1 [rs11787792; risk allele = A; RAF = 0.874; P = 1.74 × 10(-10); OR = 1.15] and SLC16A13 (rs312457; risk allele = G; RAF = 0.078; P = 7.69 × 10(-13); OR = 1.20). This study demonstrates that GWASs based on the imputation of genotypes using modern reference haplotypes such as that from the 1000 Genomes Project data can assist in identification of new loci for common diseases.
Published: 2014

30. Erratum to: Type 2 diabetes risk allele near CENTD2 is associated with decreased glucose-stimulated insulin release

Author: Nielsen, T., Sparsø, T., Grarup, N., Jørgensen, T., Pisinger, C., Witte, D. R., Hansen, T., Pedersen, O., and Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium
Published: 2011
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31. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

Author: Cardiovasculaire Epidemiologie, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Epidemiology & Health Economics, Scott, Robert A, Scott, Laura J, Mägi, Reedik, Marullo, Letizia, Gaulton, Kyle J, Kaakinen, Marika, Pervjakova, Natalia, Pers, Tune H, Johnson, Andrew D, Eicher, John D, Jackson, Anne U, Ferreira, Teresa, Lee, Yeji, Ma, Clement, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Van Zuydam, Natalie R, Mahajan, Anubha, Chen, Han, Almgren, Peter, Voight, Ben F, Grallert, Harald, Müller-Nurasyid, Martina, Ried, Janina S, Rayner, William N, Robertson, Neil, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Fuchsberger, Christian, Kwan, Phoenix, Teslovich, Tanya M, Chanda, Pritam, Li, Man, Lu, Yingchang, Dina, Christian, Thuillier, Dorothee, Yengo, Loic, Jiang, Longda, Sparso, Thomas, Kestler, Hans A, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Frånberg, Mattias, Strawbridge, Rona J, Benediktsson, Rafn, Hreidarsson, Astradur B, van der Schouw, Yvonne T, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Cardiovasculaire Epidemiologie, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Epidemiology & Health Economics, Scott, Robert A, Scott, Laura J, Mägi, Reedik, Marullo, Letizia, Gaulton, Kyle J, Kaakinen, Marika, Pervjakova, Natalia, Pers, Tune H, Johnson, Andrew D, Eicher, John D, Jackson, Anne U, Ferreira, Teresa, Lee, Yeji, Ma, Clement, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Van Zuydam, Natalie R, Mahajan, Anubha, Chen, Han, Almgren, Peter, Voight, Ben F, Grallert, Harald, Müller-Nurasyid, Martina, Ried, Janina S, Rayner, William N, Robertson, Neil, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Fuchsberger, Christian, Kwan, Phoenix, Teslovich, Tanya M, Chanda, Pritam, Li, Man, Lu, Yingchang, Dina, Christian, Thuillier, Dorothee, Yengo, Loic, Jiang, Longda, Sparso, Thomas, Kestler, Hans A, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Frånberg, Mattias, Strawbridge, Rona J, Benediktsson, Rafn, Hreidarsson, Astradur B, van der Schouw, Yvonne T, and DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Published: 2017

32. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan JL, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco JC, de Groot, Lisette CPGM, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul IW, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus ALM, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter EH, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild IA, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André LM, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, DC, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth JF, Division of Statistical Genomics, Washington University School of Medicine, Institut Pasteur du Cambodge, Réseau International des Instituts Pasteur (RIIP), Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Metabolic Science, MRC, Brown University, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), King‘s College London, Groningen Bioinformatics Centre, GBB, University of Groningen [Groningen], University of Queensland [Brisbane], National Institut of Food Science and Technology, University of Agriculture, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of neurology, Leiden University Medical Center (LUMC), University of Washington [Seattle], Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Limnology, Ecology, Department of Ecology and Evolutionary Biology, University of California, Core Genotyping Facility, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Cancer Epidemiology and Genetics, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Chemical Engineering Taiwan (DCET - NTHU), National Tsing Hua University [Hsinchu] (NTHU), University of Oxford [Oxford], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Department of Medical Sciences, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE Genetics, deCODE genetics [Reykjavik], Interuniversity Cardiology Institute Netherlands, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, TX], Medical Department III, Universität Leipzig [Leipzig], Foie, métabolismes et cancer, 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 ), Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], GNS Science, Blackett Laboratory, Imperial College London, Medstar Research Institute, University of Rochester [USA], MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Dept Biochem & Mol Biol, Pennsylvania State University (Penn State), Penn State System-Penn State System, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Epidemiology, University Medical Centre Groningen, Unit for Molecular Epidemiology, German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, 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], Harvard Medical School [Boston] (HMS), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (KU), Faculty of Medicine, Institute of Public Health, Aalborg University [Denmark] (AAU), Department of Nutrition-Dietetics, Harokopio University of Athens, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Department of Epidemiology and Public Health, University College of London [London] (UCL), Department of Public health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden, Research Center for Prevention and Health, Glostrup Hospital, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Cambridge Institute of Public Health, University of Cambridge [UK] (CAM), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Queensland Institute of Medical Research, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Head of Medical Sequencing, Department of Biostatistics, University of Washington, Department of Chronic Disease Prevention, Molecular Epidemiology, Department of Genetics, Université Laval [Québec] (ULaval), Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Netherlands Genomics Initiative, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Department of Internal Medicine, Université de Lausanne (UNIL), Carl Gustav Carus University Hospital, Loughborough University, Genomics and Bioinformatics Platform, Fondazione Filarete, Department of Medicine, Surgery, and Dentistry, University of Milano, Medizinische Klinik II, Universität zu Lübeck [Lübeck], Department of Genomic Medicine, University of Manchester [Manchester], The Wellcome Trust Centre for Human Genetics [Oxford], National Institutes of Health [Bethesda] (NIH), Department of Nephrology, University Medical Center, University of Groningen, Helmholtz-Zentrum München (HZM), Icelandic Heart Association, Kopavogur, Iceland., Faculty of Medicine, University of Iceland [Reykjavik], Genetics and Pathology, Department of child and adolescent psychiatry, Universität Duisburg-Essen [Essen], Department of Internal Medicine II, Division of Respirology, University of Regensburg, Regensburg, Germany, Universität Regensburg (UR), Franz-Volhard-Centrum für Klinische Forschung, ECRC, Department of Clinical Physiology, University of Tampere [Finland]-Tampere University Hospital, Finnish Institute of Occupational Health of Helsinki, Department of Clinical Chemistry, Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Department of Oncology, University of Tampere Medical School, University of Tampere, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, Department of Medicine, Montreal, Developmental Brain and Behaviour Unit, University of Southampton, Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Centre for Bone and Arthritis Research, Institute of Medicine-University of Gothenburg (GU), Interdisciplinary Center for Psychiatric Epidemiology, Experimental Cardiology Laboratory, University Medical Center [Utrecht], Peter MacCallum Cancer Center, Faculty of Health Sciences, Aarhus University [Aarhus], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Department of Health Services, University of Washington, Group Health Research Institute, Group Health Cooperative, Department of Epidemiology, University of Washington, Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital (TYKS), Erasmus Medical Centre, Cedars-Sinai Medical Center, Department of Pathological Biochemistry, Royal Infirmary, 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), Institute of Preventive Medicine, Copenhagen University Hospital-Bispebjerg and Frederiksberg Hospitals, Maastricht University [Maastricht], Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Department of Epidemiology & Biostatistics, Radboud University Medical Center [Nijmegen], Institute for Community Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), MRC epidemiology Unit, Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Department of Genetics and Biotechnology, Wellcome Trust, Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Department of Medical Genetics, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), P30 AG010161/AG/NIA NIH HHS/United States, Psychiatry, Epidemiology and Data Science, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Other departments, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, RS: CARIM - R3 - Vascular biology, MUMC+: DA BV AIOS Radiologie (9), Epidemiologie, Orthopedie, Institute for Molecular Medicine Finland, Helsinki Collegium for Advanced Studies, Behavioural Sciences, University of Helsinki, Transplantation Laboratory, Medicum, Research Programs Unit, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Children's Hospital, Lastentautien yksikkö, Marja-Liisa Lokki / Principal Investigator, Kardiologian yksikkö, Leif Groop Research Group, Quantitative Genetics, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Ehret, Georg Benedikt, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Universiteit Leiden-Universiteit Leiden, 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), University of California (UC), University of Oxford, Lund University [Lund], Universität Leipzig, 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 ), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Helmholtz Zentrum München = German Research Center for Environmental Health, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (UCPH), Université de Lausanne = University of Lausanne (UNIL), Universität zu Lübeck = University of Lübeck [Lübeck], Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Gothenburg (GU)-Institute of Medicine, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Luan, Jian'an [0000-0003-3137-6337], Tyrer, Jonathan [0000-0003-3724-4757], Forouhi, Nita [0000-0002-5041-248X], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Johnson, Kathleen [0000-0002-6823-3252], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Apollo - University of Cambridge Repository, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Biochemistry, Surgery, Internal Medicine, Public Health, Medical Oncology, Pathology, Erasmus MC other, Child and Adolescent Psychiatry / Psychology, and Clinical Genetics
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), Male, Cancer Research, endocrine system diseases, Biological pathways, QH426-470, Genome, Body Mass Index, Body Size, Genetics (clinical), ddc:616, Genetics & Heredity, Sex Characteristics, Loci, MAGIC Consortium, Mass index, Age Factors, Chromosome Mapping, Middle Aged, Genealogy, Self-reported height, Peripheral-blood, Scale (social sciences), ICBP Consortium, Female, Life Sciences & Biomedicine, Medical Genetics, Research Article, arcOGEN Consortium, musculoskeletal diseases, Adult, European Continental Ancestry Group, Natural menopause, Aged, Body Size/genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Waist-Hip Ratio, Biology, Body size, DIAGRAM Consortium, Age and sex, White People, Fat distribution, GLGC Consortium, 03 medical and health sciences, Life-course, Genetics, Weight-gain, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Medicinsk genetik, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0604 Genetics, Science & Technology, nutritional and metabolic diseases, Correction, 030104 developmental biology, GWAS meta-analysis, Global-BPGen Consortium, Common SNPS, CHARGE Consortium, 3111 Biomedicine, Developmental Biology
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR, Author Summary Adult body size and body shape differ substantially between men and women and change over time. More than 100 genetic variants that influence body mass index (measure of body size) or waist-to-hip ratio (measure of body shape) have been identified. While there is evidence that some genetic loci affect body shape differently in men than in women, little is known about whether genetic effects differ in older compared to younger adults, and whether such changes differ between men and women. Therefore, we conducted a systematic genome-wide search, including 114 studies (>320,000 individuals), to specifically identify genetic loci with age- and or sex-dependent effects on body size and shape. We identified 15 loci of which the effect on BMI was different in older compared to younger adults, whereas we found no evidence for loci with different effects in men compared to women. The opposite was seen for body shape as we identified 44 loci of which the effect on waist-to-hip ratio differed between men and women, but no difference between younger and older adults were observed. Our observations may provide new insights into the biology that underlies weight change with age or the sexual dimorphism of body shape.
Published: 2014

33. Investigating the Causal Relationship of C-Reactive Protein with 32 Complex Somatic and Psychiatric Outcomes : A Large-Scale Cross-Consortium Mendelian Randomization Study

Author: Prins, Bram P., Abbasi, Ali, Wong, Anson, Vaez, Ahmad, Nolte, Ilja, Franceschini, Nora, Stuart, Philip E., Guterriez Achury, Javier, Mistry, Vanisha, Bradfield, Jonathan P., Valdes, Ana M., Bras, Jose, Shatunov, Aleksey, Lu, Chen, Han, Buhm, Raychaudhuri, Soumya, Bevan, Steve, Mayes, Maureen D., Tsoi, Lam C., Evangelou, Evangelos, Nair, Rajan P., Grant, Struan F. A., Polychronakos, Constantin, Radstake, Timothy R. D., van Heel, David A., Dunstan, Melanie L., Wood, Nicholas W., Al-Chalabi, Ammar, Dehghan, Abbas, Hakonarson, Hakon, Markus, Hugh S., Elder, James T., Knight, Jo, Arking, Dan E., Spector, Timothy D., Koeleman, Bobby P. C., van Duijn, Cornelia M., Martin, Javier, Morris, Andrew P., Weersma, Rinse K., Wijmenga, Cisca, Munroe, Patricia B., Perry, John R. B., Pouget, Jennie G., Jamshidi, Yalda, Snieder, Harold, Alizadeh, Behrooz Z., Williams, Julie, PAGE Consortium, International Stroke Genetics Consortium, Systemic Sclerosis consortium, Treat OA consortium, DIAGRAM Consortium, CARDIoGRAMplusC4D Consortium, ALS consortium, International Parkinson’s Disease Genomics Consortium, Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, CKDGen consortium, GERAD1 Consortium, International Consortium for Blood Pressure, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Inflammation Working Group of the CHARGE Consortium, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Epidemiology, Markus, Hugh [0000-0002-9794-5996], Perry, John [0000-0001-6483-3771], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Knees, Social Sciences, Blood Pressure, Vascular Medicine, Biochemistry, PAGE Consortium, chemistry.chemical_compound, 0302 clinical medicine, Sociology, Consortia, Treat OA consortium, GENETIC-VARIANTS, Medicine and Health Sciences, CARDIoGRAMplusC4D Consortium, Medicine, ALS consortium, SUSCEPTIBILITY LOCUS, Musculoskeletal System, ALL-CAUSE MORTALITY, Schizophrenia Working Group of the Psychiatric Genomics Consortium, biology, Mental Disorders, COMMON VARIANTS, BIPOLAR DISORDER, Genomics, 11 Medical And Health Sciences, General Medicine, International Parkinson’s Disease Genomics Consortium, 3. Good health, C-Reactive Protein, Immune System Diseases, CARDIOVASCULAR-DISEASE, International Consortium for Blood Pressure, Legs, Anatomy, Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, Research Article, Biotechnology, medicine.medical_specialty, Genotype, Heart Diseases, Systemic Sclerosis consortium, Renal function, DIAGRAM Consortium, Polymorphism, Single Nucleotide, International Stroke Genetics Consortium, 03 medical and health sciences, Rheumatology, Metabolic Diseases, General & Internal Medicine, Statistical significance, Mental Health and Psychiatry, Osteoarthritis, Mendelian randomization, Genetics, Genome-Wide Association Studies, Journal Article, Humans, CORONARY-HEART-DISEASE, GENOME-WIDE ASSOCIATION, Psychiatry, Molecular Biology, Inflammation Working Group of the CHARGE Consortium, Creatinine, Mood Disorders, business.industry, Arthritis, Limbs (Anatomy), C-reactive protein, Biology and Life Sciences, Computational Biology, Human Genetics, Odds ratio, Cell Biology, Mendelian Randomization Analysis, Genome Analysis, GERAD1 Consortium, RISK LOCI, BODY-MASS INDEX, 030104 developmental biology, Blood pressure, chemistry, CKDGen consortium, Genetics of Disease, C400 Genetics, Schizophrenia, RC0321, biology.protein, business, Body mass index, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Background C-reactive protein (CRP) is associated with immune, cardiometabolic, and psychiatric traits and diseases. Yet it is inconclusive whether these associations are causal. Methods and Findings We performed Mendelian randomization (MR) analyses using two genetic risk scores (GRSs) as instrumental variables (IVs). The first GRS consisted of four single nucleotide polymorphisms (SNPs) in the CRP gene (GRSCRP), and the second consisted of 18 SNPs that were significantly associated with CRP levels in the largest genome-wide association study (GWAS) to date (GRSGWAS). To optimize power, we used summary statistics from GWAS consortia and tested the association of these two GRSs with 32 complex somatic and psychiatric outcomes, with up to 123,865 participants per outcome from populations of European ancestry. We performed heterogeneity tests to disentangle the pleiotropic effect of IVs. A Bonferroni-corrected significance level of less than 0.0016 was considered statistically significant. An observed p-value equal to or less than 0.05 was considered nominally significant evidence for a potential causal association, yet to be confirmed. The strengths (F-statistics) of the IVs were 31.92–3,761.29 and 82.32–9,403.21 for GRSCRP and GRSGWAS, respectively. CRP GRSGWAS showed a statistically significant protective relationship of a 10% genetically elevated CRP level with the risk of schizophrenia (odds ratio [OR] 0.86 [95% CI 0.79–0.94]; p < 0.001). We validated this finding with individual-level genotype data from the schizophrenia GWAS (OR 0.96 [95% CI 0.94–0.98]; p < 1.72 × 10−6). Further, we found that a standardized CRP polygenic risk score (CRPPRS) at p-value thresholds of 1 × 10−4, 0.001, 0.01, 0.05, and 0.1 using individual-level data also showed a protective effect (OR < 1.00) against schizophrenia; the first CRPPRS (built of SNPs with p < 1 × 10−4) showed a statistically significant (p < 2.45 × 10−4) protective effect with an OR of 0.97 (95% CI 0.95–0.99). The CRP GRSGWAS showed that a 10% increase in genetically determined CRP level was significantly associated with coronary artery disease (OR 0.88 [95% CI 0.84–0.94]; p < 2.4 × 10−5) and was nominally associated with the risk of inflammatory bowel disease (OR 0.85 [95% CI 0.74–0.98]; p < 0.03), Crohn disease (OR 0.81 [95% CI 0.70–0.94]; p < 0.005), psoriatic arthritis (OR 1.36 [95% CI 1.00–1.84]; p < 0.049), knee osteoarthritis (OR 1.17 [95% CI 1.01–1.36]; p < 0.04), and bipolar disorder (OR 1.21 [95% CI 1.05–1.40]; p < 0.007) and with an increase of 0.72 (95% CI 0.11–1.34; p < 0.02) mm Hg in systolic blood pressure, 0.45 (95% CI 0.06–0.84; p < 0.02) mm Hg in diastolic blood pressure, 0.01 ml/min/1.73 m2 (95% CI 0.003–0.02; p < 0.005) in estimated glomerular filtration rate from serum creatinine, 0.01 g/dl (95% CI 0.0004–0.02; p < 0.04) in serum albumin level, and 0.03 g/dl (95% CI 0.008–0.05; p < 0.009) in serum protein level. However, after adjustment for heterogeneity, neither GRS showed a significant effect of CRP level (at p < 0.0016) on any of these outcomes, including coronary artery disease, nor on the other 20 complex outcomes studied. Our study has two potential limitations: the limited variance explained by our genetic instruments modeling CRP levels in blood and the unobserved bias introduced by the use of summary statistics in our MR analyses. Conclusions Genetically elevated CRP levels showed a significant potentially protective causal relationship with risk of schizophrenia. We observed nominal evidence at an observed p < 0.05 using either GRSCRP or GRSGWAS—with persistence after correction for heterogeneity—for a causal relationship of elevated CRP levels with psoriatic osteoarthritis, rheumatoid arthritis, knee osteoarthritis, systolic blood pressure, diastolic blood pressure, serum albumin, and bipolar disorder. These associations remain yet to be confirmed. We cannot verify any causal effect of CRP level on any of the other common somatic and neuropsychiatric outcomes investigated in the present study. This implies that interventions that lower CRP level are unlikely to result in decreased risk for the majority of common complex outcomes., Using genetic instruments, Behrooz Z. Alizadeh and colleagues examine the hypothesis that increased CRP levels play a causal role in common somatic and psychiatric conditions., Editors' Summary Background Inflammation is an important part of the human immune response, the network of cells and molecules that protects the body from attack by pathogens (infectious organisms) and from harmful substances and foreign particles (for example, splinters). When human cells are attacked by pathogens or injured by trauma or chemicals, molecules called inflammatory mediators induce fluid leakage from the blood vessels into the damaged tissue and attract “phagocytes” (a type of immune cell) to the site of infection or injury to “eat” the germs and dead or damaged cells. The end result is inflammation, which is characterized by swelling, redness, heat, and pain. The inflammatory response, although unpleasant, limits the damage caused by foreign invaders or chemicals by preventing further contact with body tissues. Sometimes, however, inflammation can be harmful. Persistent dysregulation of the inflammatory response is implicated in numerous somatic disorders (diseases that affect the body, such as cardiovascular disease) and neuropsychiatric disorders (mental disorders attributable to diseases of the nervous system, such as schizophrenia). Why Was This Study Done? Observational studies suggest that increased blood levels of C-reactive protein (CRP, an inflammatory protein) are associated with certain somatic and neuropsychiatric disorders. But observational studies cannot prove that changes in CRP levels actually cause any of these disorders. It could be that the individuals who develop a specific disease and who have a high CRP level also share another unknown characteristic that is actually responsible for disease development (confounding). Alternatively, it could be that the disease itself increases CRP levels (reverse causation). It is important to know whether CRP is causally involved in the development of specific diseases because it might then be possible to prevent or treat these diseases using drugs that control CRP levels. Here, the researchers undertake a Mendelian randomization study to determine whether CRP has a causal relationship with 32 common complex somatic and neuropsychiatric outcomes. Because gene variants are inherited randomly, they are not prone to confounding and are free from reverse causation. So, if CRP levels actually cause a specific somatic or neuropsychiatric disease, genetic variants that affect CRP levels should be associated with an altered risk for that disease. What Did the Researchers Do and Find? The researchers used data collected by several consortia involved in large genome-wide association studies (studies that ask whether specific genetic changes across the whole human genome, or blueprint, are associated with specific diseases) to look for associations between 32 somatic and neuropsychiatric outcomes and two genetic risk scores (GRSs) for CRP level. GRSCRP consisted of four single nucleotide polymorphisms (SNPs; a type of genetic variant) in the gene encoding CRP; GRSGWAS consisted of 18 SNPs that were associated with CRP level in a genome-wide association study. The researchers report that a genetically increased CRP level was significantly associated with a reduced risk of schizophrenia (a significant association is one unlikely to have arisen by chance). In addition, they found a nominally significant association (an association that needs to be confirmed) between genetically increased CRP levels and an increased risk of knee osteoarthritis, raised diastolic and systolic blood pressure, and bipolar disorder. Notably, there was no evidence for an effect of genetically increased CRP levels on any of the other 27 outcomes studied. What Do These Findings Mean? These findings suggest that genetically raised levels of CRP are causally associated with protection against schizophrenia, an unexpected finding given other recent studies that suggest that raised CRP levels and brain inflammation predispose individuals to schizophrenia. The findings also provide preliminary evidence that genetically raised levels of CRP may be causally associated with an increased risk of raised blood pressure, knee arthritis, and bipolar disorder. The lack of any association between genetically raised levels of CRP and the other outcomes studied suggests, however, that many previously identified disease-associated rises in CRP levels might be a response to the disease process rather than a cause of these diseases. Like all Mendelian randomization studies, the reliability of these findings depends on the validity of several assumptions made by the researchers and on the ability of the GRSs used in the study to explain variations in CRP level. Importantly, however, these findings suggest that interventions designed to lower CRP level are unlikely to decrease the risk of people developing the majority of common complex somatic and neuropsychiatric outcomes. Additional Information This list of resources contains links that can be accessed when viewing the PDF on a device or via the online version of the article at http://dx.doi.org/10.1371/journal.pmed.1001976. Wikipedia has pages on inflammation, C-reactive protein, and Mendelian randomization (note: Wikipedia is a free online encyclopedia that anyone can edit; available in several languages) The MedlinePlus encyclopedia has a page on C-reactive protein (in English and Spanish) The American Heart Association provides a short article on inflammation and heart disease A UK National Health Service “Behind the Headlines” article explains a recent study that found an association between immune activity in the brain and schizophrenia
Published: 2016

34. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

Author: Gaulton, Kyle J, Ferreira, Teresa, Lee, Yeji, Raimondo, Anne, Mägi, Reedik, Reschen, Michael E, Mahajan, Anubha, Locke, Adam, William Rayner, N, Robertson, Neil, Scott, Robert A, Prokopenko, Inga, Scott, Laura J, Green, Todd, Sparso, Thomas, Thuillier, Dorothee, Yengo, Loic, Grallert, Harald, Wahl, Simone, Frånberg, Mattias, Strawbridge, Rona J, Kestler, Hans, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Li, Man, Chen, Han, Fuchsberger, Christian, Kwan, Phoenix, Ma, Clement, Linderman, Michael, Lu, Yingchang, Thomsen, Soren K, Rundle, Jana K, Beer, Nicola L, van de Bunt, Martijn, Chalisey, Anil, Kang, Hyun Min, Voight, Benjamin F, Abecasis, Gonçalo R, Almgren, Peter, Baldassarre, Damiano, Balkau, Beverley, van der Schouw, Yvonne T, and DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Subjects: Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Journal Article, Comparative Study
Abstract: We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine mapping implicated rs10830963 as driving T2D association. We confirmed that the T2D risk allele for this SNP increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease.
Published: 2015

35. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape : A Large-Scale Genome-Wide Interaction Study

Author: Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tonu, Fall, Tove, Kilpelainen, Tuomas O., Lu, Yingchang, Magi, Reedik, Mihailov, Evelin, Pers, Tune H., Rueeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amelie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Haitjema, Saskia, van der Laan, Sander W., van Setten, Jessica, Asselbergs, Folkert W., de Bakker, Paul I. W., Moll, Frans L., Pasterkamp, Gerard, den Ruijter, Hester M., CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, and MAGIC Consortium
Subjects: COMMON SNPS, LIFE-COURSE, MASS INDEX, SELF-REPORTED HEIGHT, BIOLOGICAL PATHWAYS, LOCI, FAT DISTRIBUTION, NATURAL MENOPAUSE, PERIPHERAL-BLOOD, WEIGHT-GAIN
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age-and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to similar to 2.8M SNPs with BMI and WHRadjBMI in four strata (men 50y, women 50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR= 50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may providefurther insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Published: 2015

36. Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits

Author: Randall, JC, Winkler, TW, Kutalik, Z, Berndt, SI, Jackson, AU, Monda, KL, Kilpeläinen, TO, Esko, T, Mägi, R, Li, S, Workalemahu, T, Feitosa, MF, Croteau-Chonka, DC, Day, FR, Fall, T, Ferreira, T, Gustafsson, S, Locke, AE, Mathieson, I, Scherag, A, Vedantam, S, Wood, AR, Liang, L, Steinthorsdottir, V, Thorleifsson, G, Dermitzakis, ET, Dimas, AS, Karpe, F, Min, JL, Nicholson, G, Clegg, DJ, Person, T, Krohn, JP, Bauer, S, Buechler, C, Eisinger, K, DIAGRAM Consortium, Bonnefond, A, Froguel, P, MAGIC Investigators, Hottenga, JJ, Prokopenko, I, Waite, LL, Harris, TB, Smith, AV, Shuldiner, AR, McArdle, WL, Caulfield, MJ, Munroe, PB, Grönberg, H, Chen, YD, Li, G, Beckmann, JS, Johnson, T, Thorsteinsdottir, U, Teder-Laving, M, Khaw, KT, Wareham, NJ, Zhao, JH, Amin, N, Oostra, BA, Kraja, AT, Province, MA, Cupples, LA, Heard-Costa, NL, Kaprio, J, Ripatti, S, Surakka, I, Collins, FS, Saramies, J, Tuomilehto, J, Jula, A, Salomaa, V, Erdmann, J, Hengstenberg, C, Loley, C, Schunkert, H, Lamina, C, Wichmann, HE, Albrecht, E, Gieger, C, Hicks, AA, Johansson, A, Pramstaller, PP, Kathiresan, S, Speliotes, EK, Penninx, B, Hartikainen, AL, Jarvelin, MR, Gyllensten, U, Boomsma, DI, Campbell, H, Wilson, JF, Chanock, SJ, Farrall, M, Goel, A, Medina-Gomez, C, Rivadeneira, F, Estrada, K, Uitterlinden, AG, Hofman, A, Zillikens, MC, den Heijer, M, Kiemeney, LA, Maschio, A, Hall, P, Tyrer, J, Teumer, A, Völzke, H, Kovacs, P, Tönjes, A, Mangino, M, Spector, TD, Hayward, C, Rudan, I, Hall, AS, Samani, NJ, Attwood, AP, Sambrook, JG, Hung, J, Palmer, LJ, Lokki, ML, Sinisalo, J, Boucher, G, Huikuri, H, Lorentzon, M, Ohlsson, C, Eklund, N, Eriksson, JG, Barlassina, C, Rivolta, C, Nolte, IM, Snieder, H, Van der Klauw, MM, Van Vliet-Ostaptchouk, JV, Gejman, PV, Shi, J, Jacobs, KB, Wang, Z, Bakker, SJ, Mateo Leach, I, Navis, G, van der Harst, P, Martin, NG, Medland, SE, Montgomery, GW, Yang, J, Chasman, DI, Ridker, PM, Rose, LM, Lehtimäki, T, Raitakari, O, Absher, D, Iribarren, C, Basart, H, Hovingh, KG, Hyppönen, E, Power, C, Anderson, D, Beilby, JP, Hui, J, Jolley, J, Sager, H, Bornstein, SR, Schwarz, PE, Kristiansson, K, Perola, M, Lindström, J, Swift, AJ, Uusitupa, M, Atalay, M, Lakka, TA, Rauramaa, R, Bolton, JL, Fowkes, G, Fraser, RM, Price, JF, Fischer, K, Krjutå Kov, K, Metspalu, A, Mihailov, E, Langenberg, C, Luan, J, Ong, KK, Chines, PS, Keinanen-Kiukaanniemi, SM, Saaristo, TE, Edkins, S, Franks, PW, Hallmans, G, Shungin, D, Morris, AD, Palmer, CN, Erbel, R, Moebus, S, Nöthen, MM, Pechlivanis, S, Hveem, K, Narisu, N, Hamsten, A, Humphries, SE, Strawbridge, RJ, Tremoli, E, Grallert, H, Thorand, B, Illig, T, Koenig, W, Müller-Nurasyid, M, Peters, A, Boehm, BO, Kleber, ME, März, W, Winkelmann, BR, Kuusisto, J, Laakso, M, Arveiler, D, Cesana, G, Kuulasmaa, K, Virtamo, J, Yarnell, JW, Kuh, D, Wong, A, Lind, L, de Faire, U, Gigante, B, Magnusson, PK, Pedersen, NL, Dedoussis, G, Dimitriou, M, Kolovou, G, Kanoni, S, Stirrups, K, Bonnycastle, LL, Njølstad, I, Wilsgaard, T, Ganna, A, Rehnberg, E, Hingorani, A, Kivimaki, M, Kumari, M, Assimes, TL, Barroso, I, Boehnke, M, Borecki, IB, Deloukas, P, Fox, CS, Frayling, T, Groop, LC, Haritunians, T, Hunter, D, Ingelsson, E, Kaplan, R, Mohlke, KL, O'Connell, JR, Schlessinger, D, Strachan, DP, Stefansson, K, van Duijn, CM, Abecasis, GR, McCarthy, MI, Hirschhorn, JN, Qi, L, Loos, RJ, Lindgren, CM, North, KE, Heid, IM, Hjelt Institute (-2014), Department of Public Health, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Haartman Institute (-2014), Transplantation Laboratory, Kardiologian yksikkö, Department of Medicine, Clinicum, Department of General Practice and Primary Health Care, Diabetes and Obesity Research Program, Biostatistics Helsinki, Quantitative Genetics, Complex Disease Genetics, Genetic Epidemiology, DIAGRAM Consortium, MAGIC Investigators, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Epidemiology, Erasmus School of Social and Behavioural Sciences, Clinical Genetics, Internal Medicine, Public Health, Surgery, Medical Research Council (MRC), and Dermitzakis, Emmanouil
Subjects: Male, Medicin och hälsovetenskap, Epidemiology, VARIANTS, Anthropometry/methods, Body Height/genetics, Body Mass Index, Body Weight/genetics, Body Weights and Measures, Female, Genetic Loci, Genome, Human, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Sex Characteristics, Waist Circumference/genetics, Waist-Hip Ratio, Medical and Health Sciences, ddc:576.5, GENETICS & HEREDITY, ADULT HEIGHT, RISK, Anthropometry, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, OBESITY, Genetic Epidemiology, Medicine, PPAR-GAMMA, Waist Circumference, Life Sciences & Biomedicine, Medical Genetics, Research Article, VDP::Medisinske Fag: 700::Basale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk genetikk: 714, lcsh:QH426-470, 515 Psychology, education, DIAGRAM Consortium, Endocrinology and Diabetes, VDP::Medical disciplines: 700::Basic medical, dental and veterinary science disciplines: 710::Medical genetics: 714, MAGIC Investigators, ddc:610, ENZYME-ACTIVITIES, METAANALYSIS, Medicinsk genetik, 0604 Genetics, Science & Technology, Body Weight, FAT DISTRIBUTION, Body Height, BODY-MASS INDEX, lcsh:Genetics, 3121 General medicine, internal medicine and other clinical medicine, 3111 Biomedicine, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, Developmental Biology
Abstract: Given the anthropometric differences between men and women and previous evidence of sex-difference in genetic effects, we conducted a genome-wide search for sexually dimorphic associations with height, weight, body mass index, waist circumference, hip circumference, and waist-to-hip-ratio (133,723 individuals) and took forward 348 SNPs into follow-up (additional 137,052 individuals) in a total of 94 studies. Seven loci displayed significant sex-difference (FDR, Author Summary Men and women differ substantially regarding height, weight, and body fat. Interestingly, previous work detecting genetic effects for waist-to-hip ratio, to assess body fat distribution, has found that many of these showed sex-differences. However, systematic searches for sex-differences in genetic effects have not yet been conducted. Therefore, we undertook a genome-wide search for sexually dimorphic genetic effects for anthropometric traits including 133,723 individuals in a large meta-analysis and followed promising variants in further 137,052 individuals, including a total of 94 studies. We identified seven loci with significant sex-difference including four previously established (near GRB14/COBLL1, LYPLAL1/SLC30A10, VEGFA, ADAMTS9) and three novel anthropometric trait loci (near MAP3K1, HSD17B4, PPARG), all of which were significant in women, but not in men. Of interest is that sex-difference was only observed for waist phenotypes, but not for height or body-mass-index. We found no evidence for sex-differences with opposite effect direction for men and women. The PPARG locus is of specific interest due to its link to diabetes genetics and therapy. Our findings demonstrate the importance of investigating sex differences, which may lead to a better understanding of disease mechanisms with a potential relevance to treatment options.
Published: 2013

37. Correction: The influence of age and sex on genetic associations with adult body size and shape : a large-scale genome-wide interaction study.

Author: Winkler, T.W., Justice, A.E., Graff, M., Barata, L., Feitosa, M.F., Chu, S., Czajkowski, J., Esko, T., Fall, T., Kilpeläinen, T.O., Lu, Y., Mägi, R., Mihailov, E., Pers, T.H., Rüeger, S., Teumer, A., Ehret, G.B., Ferreira, T., Heard-Costa, N.L., Karjalainen, J., Lagou, V., Mahajan, A., Neinast, M.D., Prokopenko, I., Simino, J., Teslovich, T.M., Jansen, R., Westra, H.J., White, C.C., Absher, D., Ahluwalia, T.S., Ahmad, S., Albrecht, E., Alves, A.C., Bragg-Gresham, J.L., de Craen, A.J., Bis, J.C., Bonnefond, A., Boucher, G., Cadby, G., Cheng, Y.C., Chiang, C.W., Delgado, G., Demirkan, A., Dueker, N., Eklund, N., Eiriksdottir, G., Eriksson, J., Feenstra, B., Fischer, K., Frau, F., Galesloot, T.E., Geller, F., Goel, A., Gorski, M., Grammer, T.B., Gustafsson, S., Haitjema, S., Hottenga, J.J., Huffman, J.E., Jackson, A.U., Jacobs, K.B., Johansson, Å., Kaakinen, M., Kleber, M.E., Lahti, J., Mateo Leach, I., Lehne, B., Liu, Y., Lo, K.S., Lorentzon, M., Luan, J., Madden, P.A., Mangino, M., McKnight, B., Medina-Gomez, C., Monda, K.L., Montasser, M.E., Müller, G., Müller-Nurasyid, M., Nolte, I.M., Panoutsopoulou, K., Pascoe, L., Paternoster, L., Rayner, N.W., Renström, F., Rizzi, F., Rose, L.M., Ryan, K.A., Salo, P., Sanna, S., Scharnagl, H., Shi, J., Smith, A.V., Southam, L., Stančáková, A., Steinthorsdottir, V., Strawbridge, R.J., Sung, Y.J., Tachmazidou, I., Tanaka, T., Thorleifsson, G., Trompet, S., Pervjakova, N., Tyrer, J.P., Vandenput, L., van der Laan, S.W., van der Velde, N., van Setten, J., van Vliet-Ostaptchouk, J.V., Verweij, N., Vlachopoulou, E., Waite, L.L., Wang, S.R., Wang, Z., Wild, S.H., Willenborg, C., Wilson, J.F., Wong, A., Yang, J., Yengo, L., Yerges-Armstrong, L.M., Yu, L., Zhang, W., Zhao, J.H., Andersson, E.A., Bakker, S.J., Baldassarre, D., Banasik, K., Barcella, M., Barlassina, C., Bellis, C., Benaglio, P., Blangero, J., Blüher, M., Bonnet, F., Bonnycastle, L.L., Boyd, H.A., Bruinenberg, M., Buchman, A.S., Campbell, H., Chen, Y.I., Chines, P.S., Claudi-Boehm, S., Cole, J., Collins, F.S., de Geus, E.J., de Groot, L.C., Dimitriou, M., Duan, J., Enroth, S., Eury, E., Farmaki, A.E., Forouhi, N.G., Friedrich, N., Gejman, P.V., Gigante, B., Glorioso, N., Go, A.S., Gottesman, O., Gräßler, J., Grallert, H., Grarup, N., Gu, Y.M., Broer, L., Ham, A.C., Hansen, T., Harris, T.B., Hartman, C.A., Hassinen, M., Hastie, N., Hattersley, A.T., Heath, A.C., Henders, A.K., Hernandez, D., Hillege, H., Holmen, O., Hovingh, K.G., Hui, J., Husemoen, L.L., Hutri-Kähönen, N., Hysi, P.G., Illig, T., De Jager, P.L., Jalilzadeh, S., Jørgensen, T., Jukema, J.W., Juonala, M., Kanoni, S., Karaleftheri, M., Khaw, K.T., Kinnunen, L., Kittner, S.J., Koenig, W., Kolcic, I., Kovacs, P., Krarup, N.T., Kratzer, W., Krüger, J., Kuh, D., Kumari, M., Kyriakou, T., Langenberg, C., Lannfelt, L., Lanzani, C., Lotay, V., Launer, L.J., Leander, K., Lindström, J., Linneberg, A., Liu, Y.P., Lobbens, S., Luben, R., Lyssenko, V., Männistö, S., 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S., Karaleftheri, M., Khaw, K.T., Kinnunen, L., Kittner, S.J., Koenig, W., Kolcic, I., Kovacs, P., Krarup, N.T., Kratzer, W., Krüger, J., Kuh, D., Kumari, M., Kyriakou, T., Langenberg, C., Lannfelt, L., Lanzani, C., Lotay, V., Launer, L.J., Leander, K., Lindström, J., Linneberg, A., Liu, Y.P., Lobbens, S., Luben, R., Lyssenko, V., Männistö, S., Magnusson, P.K., McArdle, W.L., Menni, C., Merger, S., Milani, L., Montgomery, G.W., Morris, A.P., Narisu, N., Nelis, M., Ong, K.K., Palotie, A., Pérusse, L., Pichler, I., Pilia, M.G., Pouta, A., Rheinberger, M., Ribel-Madsen, R., Richards, M., Rice, K.M., Rice, T.K., Rivolta, C., Salomaa, V., Sanders, A.R., Sarzynski, M.A., Scholtens, S., Scott, R.A., Scott, W.R., Sebert, S., Sengupta, S., Sennblad, B., Seufferlein, T., Silveira, A., Slagboom, P.E., Smit, J.H., Sparsø, T.H., Stirrups, K., Stolk, R.P., Stringham, H.M., Swertz, M.A., Swift, A.J., Syvänen, A.C., Tan, S.T., Thorand, B., Tönjes, A., Tremblay, A., Tsafantakis, E., van der 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Abstract: This corrects the article DOI: 10.1371/journal.pgen.1005378.
Published: 2016

38. The Lin28/let-7 axis regulates glucose metabolism

Author: Zhu H, Shyh Chang N, Segrè AV, Shinoda G, Shah SP, Einhorn WS, Takeuchi A, Engreitz JM, Hagan JP, Kharas MG, Urbach A, Thornton JE, Triboulet R, Gregory RI, DIAGRAM Consortium, MAGIC Investigators, Altshuler D, Daley G.Q. Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, McCulloch LJ, Ferreira T, Grallert H, Amin N, Wu G, Willer CJ, Raychaudhuri S, McCarroll SA, Langenberg C, Hofmann OM, Dupuis J, Qi L, van Hoek M, Navarro P, Ardlie K, Balkau B, Benediktsson R, Bennett AJ, Blagieva R, Boerwinkle E, Bonnycastle LL, Boström KB, Bravenboer B, Bumpstead S, Burtt NP, Charpentier G, Chines PS, Cornelis M, Couper DJ, Crawford G, Doney AS, Elliott KS, Elliott AL, Erdos MR, Fox CS, Franklin CS, Ganser M, Gieger C, Grarup N, Green T, Griffin S, Groves CJ, Guiducci C, Hadjadj S, Hassanali N, Herder C, Isomaa B, Jackson AU, Johnson PR, Jørgensen T, Kao WH, Klopp N, Kong A, Kraft P, Kuusisto J, Lauritzen T, Li M, Lieverse A, Lindgren CM, Lyssenko V, Marre M, Meitinger T, Midthjell K, Morken MA, Narisu N, Nilsson P, Owen KR, Payne F, Perry JR, Petersen AK, Platou C, Proença C, Prokopenko I, Rathmann W, Rayner NW, Robertson NR, Rocheleau G, Roden M, Sampson MJ, Saxena R, Shields BM, Shrader P, Sigurdsson G, Sparsø T, Strassburger K, Stringham HM, Sun Q, Swift AJ, Thorand B, Tichet J, Tuomi T, van Dam RM, van Haeften TW, van Herpt T, van Vliet Ostaptchouk JV, Walters GB, Weedon MN, Wijmenga C, Witteman J, Bergman RN, Cauchi S, Collins FS, Gloyn AL, Gyllensten U, Hansen T, Hide WA, Hitman GA, Hofman A, Hunter DJ, Hveem K, Laakso M, Mohlke KL, Morris AD, Palmer CN, Pramstaller PP, Rudan I, Sijbrands E, Stein LD, Tuomilehto J, Uitterlinden A, Walker M, Wareham NJ, Watanabe RM, Abecasis GR, Boehm BO, Campbell H, Daly MJ, Hattersley AT, Hu FB, Meigs JB, Pankow JS, Pedersen O, Wichmann HE, Barroso I, Florez JC, Frayling TM, Groop L, Sladek R, Thorsteinsdottir U, Wilson JF, Illig T, Froguel P, van Duijn CM, Stefansson K, Boehnke M, McCarthy MI, Soranzo N, Wheeler E, Glazer NL, Bouatia Naji N, Mägi R, Randall J, Johnson T, Elliott P, Rybin D, Henneman P, Dehghan A, Hottenga JJ, Song K, Goel A, Egan JM, Lajunen T, Doney A, Voight BF, Kanoni S, Cavalcanti Proença C, Kumari M, Timpson NJ, Zabena C, Ingelsson E, An P, O'Connell J, Luan J, Elliott A, Roccasecca RM, Pattou F, Sethupathy P, Ariyurek Y, Barter P, Beilby JP, Ben Shlomo Y, Bergmann S, Bochud M, Bonnefond A, Borch Johnsen K, Böttcher Y, Brunner E, Bumpstead SJ, Chen YD, Chines P, Clarke R, Coin LJ, Cooper MN, Crisponi L, Day IN, de Geus EJ, Delplanque J, Fedson AC, Fischer Rosinsky A, Forouhi NG, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Grundy S, Gwilliam R, Hallmans G, Hammond N, Han X, Hartikainen AL, Hayward C, Heath SC, Hercberg S, Hicks AA, Hillman DR, Hingorani AD, Hui J, Hung J, Jula A, Kaakinen M, Kaprio J, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Kyvik KO, Lathrop GM, Lawlor DA, Le Bacquer O, Lecoeur C, Li Y, Mahley R, Mangino M, Manning AK, Martínez Larrad MT, McAteer JB, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Mukherjee S, Naitza S, Neville MJ, Oostra BA, Orrù M, Pakyz R, Pattaro C, Pearson D, Peden JF, Pedersen NL, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Province MA, Psaty BM, Rice K, Ripatti S, Rivadeneira F, Rolandsson O, Sandbaek A, Sandhu M, Sanna S, Sayer AA, Scheet P, Seedorf U, Sharp SJ, Shields B, Sigurðsson G, Sijbrands EJ, Silveira A, Simpson L, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Tönjes A, Uitterlinden AG, van Dijk KW, Varma D, Visvikis Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Walley A, Ward KL, Watkins H, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, Borecki IB, Loos RJ, Meneton P, Magnusson PK, Nathan DM, Williams GH, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano Ríos M, Lind L, Palmer LJ, Franks PW, Ebrahim S, Marmot M, Wright AF, Stumvoll M, Hamsten A, Buchanan TA, Valle TT, Rotter JI, Siscovick DS, Penninx BW, Boomsma DI, Deloukas P, Spector TD, Ferrucci L, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, Barroso I., PAOLISSO, Giuseppe, Zhu, H, Shyh Chang, N, Segrè, Av, Shinoda, G, Shah, Sp, Einhorn, W, Takeuchi, A, Engreitz, Jm, Hagan, Jp, Kharas, Mg, Urbach, A, Thornton, Je, Triboulet, R, Gregory, Ri, Diagram, Consortium, Magic, Investigator, Altshuler, D, Voight BF, Daley G. Q., Scott, Lj, Steinthorsdottir, V, Morris, Ap, Dina, C, Welch, Rp, Zeggini, E, Huth, C, Aulchenko, Y, Thorleifsson, G, Mcculloch, Lj, Ferreira, T, Grallert, H, Amin, N, Wu, G, Willer, Cj, Raychaudhuri, S, Mccarroll, Sa, Langenberg, C, Hofmann, Om, Dupuis, J, Qi, L, van Hoek, M, Navarro, P, Ardlie, K, Balkau, B, Benediktsson, R, Bennett, Aj, Blagieva, R, Boerwinkle, E, Bonnycastle, Ll, Boström, Kb, Bravenboer, B, Bumpstead, S, Burtt, Np, Charpentier, G, Chines, P, Cornelis, M, Couper, Dj, Crawford, G, Doney, A, Elliott, K, Elliott, Al, Erdos, Mr, Fox, C, Franklin, C, Ganser, M, Gieger, C, Grarup, N, Green, T, Griffin, S, Groves, Cj, Guiducci, C, Hadjadj, S, Hassanali, N, Herder, C, Isomaa, B, Jackson, Au, Johnson, Pr, Jørgensen, T, Kao, Wh, Klopp, N, Kong, A, Kraft, P, Kuusisto, J, Lauritzen, T, Li, M, Lieverse, A, Lindgren, Cm, Lyssenko, V, Marre, M, Meitinger, T, Midthjell, K, Morken, Ma, Narisu, N, Nilsson, P, Owen, Kr, Payne, F, Perry, Jr, Petersen, Ak, Platou, C, Proença, C, Prokopenko, I, Rathmann, W, Rayner, Nw, Robertson, Nr, Rocheleau, G, Roden, M, Sampson, Mj, Saxena, R, Shields, Bm, Shrader, P, Sigurdsson, G, Sparsø, T, Strassburger, K, Stringham, Hm, Sun, Q, Swift, Aj, Thorand, B, Tichet, J, Tuomi, T, van Dam, Rm, van Haeften, Tw, van Herpt, T, van Vliet Ostaptchouk, Jv, Walters, Gb, Weedon, Mn, Wijmenga, C, Witteman, J, Bergman, Rn, Cauchi, S, Collins, F, Gloyn, Al, Gyllensten, U, Hansen, T, Hide, Wa, Hitman, Ga, Hofman, A, Hunter, Dj, Hveem, K, Laakso, M, Mohlke, Kl, Morris, Ad, Palmer, Cn, Pramstaller, Pp, Rudan, I, Sijbrands, E, Stein, Ld, Tuomilehto, J, Uitterlinden, A, Walker, M, Wareham, Nj, Watanabe, Rm, Abecasis, Gr, Boehm, Bo, Campbell, H, Daly, Mj, Hattersley, At, Hu, Fb, Meigs, Jb, Pankow, J, Pedersen, O, Wichmann, He, Barroso, I, Florez, Jc, Frayling, Tm, Groop, L, Sladek, R, Thorsteinsdottir, U, Wilson, Jf, Illig, T, Froguel, P, van Duijn, Cm, Stefansson, K, Boehnke, M, Mccarthy, Mi, Soranzo, N, Wheeler, E, Glazer, Nl, Bouatia Naji, N, Mägi, R, Randall, J, Johnson, T, Elliott, P, Rybin, D, Henneman, P, Dehghan, A, Hottenga, Jj, Song, K, Goel, A, Egan, Jm, Lajunen, T, Voight, Bf, Kanoni, S, Cavalcanti Proença, C, Kumari, M, Timpson, Nj, Zabena, C, Ingelsson, E, An, P, O'Connell, J, Luan, J, Elliott, A, Roccasecca, Rm, Pattou, F, Sethupathy, P, Ariyurek, Y, Barter, P, Beilby, Jp, Ben Shlomo, Y, Bergmann, S, Bochud, M, Bonnefond, A, Borch Johnsen, K, Böttcher, Y, Brunner, E, Bumpstead, Sj, Chen, Yd, Clarke, R, Coin, Lj, Cooper, Mn, Crisponi, L, Day, In, de Geus, Ej, Delplanque, J, Fedson, Ac, Fischer Rosinsky, A, Forouhi, Ng, Frants, R, Franzosi, Mg, Galan, P, Goodarzi, Mo, Graessler, J, Grundy, S, Gwilliam, R, Hallmans, G, Hammond, N, Han, X, Hartikainen, Al, Hayward, C, Heath, Sc, Hercberg, S, Hicks, Aa, Hillman, Dr, Hingorani, Ad, Hui, J, Hung, J, Jula, A, Kaakinen, M, Kaprio, J, Kesaniemi, Ya, Kivimaki, M, Knight, B, Koskinen, S, Kovacs, P, Kyvik, Ko, Lathrop, Gm, Lawlor, Da, Le Bacquer, O, Lecoeur, C, Li, Y, Mahley, R, Mangino, M, Manning, Ak, Martínez Larrad, Mt, Mcateer, Jb, Mcpherson, R, Meisinger, C, Melzer, D, Meyre, D, Mitchell, Bd, Mukherjee, S, Naitza, S, Neville, Mj, Oostra, Ba, Orrù, M, Pakyz, R, Paolisso, Giuseppe, Pattaro, C, Pearson, D, Peden, Jf, Pedersen, Nl, Perola, M, Pfeiffer, Af, Pichler, I, Polasek, O, Posthuma, D, Potter, Sc, Pouta, A, Province, Ma, Psaty, Bm, Rice, K, Ripatti, S, Rivadeneira, F, Rolandsson, O, Sandbaek, A, Sandhu, M, Sanna, S, Sayer, Aa, Scheet, P, Seedorf, U, Sharp, Sj, Shields, B, Sigurðsson, G, Sijbrands, Ej, Silveira, A, Simpson, L, Singleton, A, Smith, Nl, Sovio, U, Swift, A, Syddall, H, Syvänen, Ac, Tanaka, T, Tönjes, A, Uitterlinden, Ag, van Dijk, Kw, Varma, D, Visvikis Siest, S, Vitart, V, Vogelzangs, N, Waeber, G, Wagner, Pj, Walley, A, Ward, Kl, Watkins, H, Wild, Sh, Willemsen, G, Witteman, Jc, Yarnell, Jw, Zelenika, D, Zethelius, B, Zhai, G, Zhao, Jh, Zillikens, Mc, Borecki, Ib, Loos, Rj, Meneton, P, Magnusson, Pk, Nathan, Dm, Williams, Gh, Silander, K, Salomaa, V, Smith, Gd, Bornstein, Sr, Schwarz, P, Spranger, J, Karpe, F, Shuldiner, Ar, Cooper, C, Dedoussis, Gv, Serrano Ríos, M, Lind, L, Palmer, Lj, Franks, Pw, Ebrahim, S, Marmot, M, Wright, Af, Stumvoll, M, Hamsten, A, Buchanan, Ta, Valle, Tt, Rotter, Ji, Siscovick, D, Penninx, Bw, Boomsma, Di, Deloukas, P, Spector, Td, Ferrucci, L, Cao, A, Scuteri, A, Schlessinger, D, Uda, M, Ruokonen, A, Jarvelin, Mr, Waterworth, Dm, Vollenweider, P, Peltonen, L, Mooser, V, and Barroso, I.
Published: 2011

39. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes

Author: STRAWBRIDGE RJ, DUPUIS J, PROKOPENKO I, BARKER A, AHLQVIST E, RYBIN D, PETRIE JR, TRAVERS ME, BOUATIA-NAJI N, DIMAS AS, NICA A, WHEELER E, CHEN H, VOIGHT BF, TANEERA J, KANONI S, PEDEN JF, TURRINI F, GUSTAFSSON S, ZABENA C, ALMGREN P, BARKER DJ, BARNES D, DENNISON EM, ERIKSSON JG, ERIKSSON P, EURY E, FOLKERSEN L, FOX CS, FRAYLING TM, GOEL A, GU HF, HORIKOSHI M, ISOMAA B, JACKSON AU, JAMESON KA, KAJANTIE E, KERR-CONTE J, KUULASMAA T, KUUSISTO J, LOOS RJ, LUAN J, MAKRILAKIS K, MANNING AK, MARTÍNEZ-LARRAD MT, NARISU N, NASTASE MANNILA M, OHRVIK J, OSMOND C, PASCOE L, PAYNE F, SAYER AA, SENNBLAD B, SILVEIRA A, STANCÁKOVÁ A, STIRRUPS K, SWIFT AJ, SYVÄNEN AC, TUOMI T, VAN 'T HOOFT FM, WALKER M, WEEDON MN, XIE W, ZETHELIUS B, DIAGRAM CONSORTIUM, GIANT CONSORTIUM, MANUNTA P, MUTHER CONSORTIUM, CARDIOGRAM CONSORTIUM, C4D CONSORTIUM, ONGEN H, MÄLARSTIG A, HOPEWELL JC, SALEHEEN D, CHAMBERS J, PARISH S, DANESH J, KOONER J, OSTENSON CG, LIND L, COOPER CC, SERRANO-RÍOS M, FERRANNINI E, FORSEN TJ, CLARKE R, FRANZOSI MG, SEEDORF U, WATKINS H, FROGUEL P, JOHNSON P, DELOUKAS P, COLLINS FS, LAAKSO M, DERMITZAKIS ET, BOEHNKE M, MCCARTHY MI, WAREHAM NJ, GROOP L, PATTOU F, GLOYN AL, DEDOUSSIS GV, LYSSENKO V, MEIGS JB, BARROSO I, WATANABE RM, INGELSSON E, LANGENBERG C, HAMSTEN A, FLOREZ JC, Strawbridge, Rj, Dupuis, J, Prokopenko, I, Barker, A, Ahlqvist, E, Rybin, D, Petrie, Jr, Travers, Me, BOUATIA-NAJI, N, Dimas, A, Nica, A, Wheeler, E, Chen, H, Voight, Bf, Taneera, J, Kanoni, S, Peden, Jf, Turrini, F, Gustafsson, S, Zabena, C, Almgren, P, Barker, Dj, Barnes, D, Dennison, Em, Eriksson, Jg, Eriksson, P, Eury, E, Folkersen, L, Fox, C, Frayling, Tm, Goel, A, Gu, Hf, Horikoshi, M, Isomaa, B, Jackson, Au, Jameson, Ka, Kajantie, E, KERR-CONTE, J, Kuulasmaa, T, Kuusisto, J, Loos, Rj, Luan, J, Makrilakis, K, Manning, Ak, MARTÍNEZ-LARRAD, Mt, Narisu, N, NASTASE MANNILA, M, Ohrvik, J, Osmond, C, Pascoe, L, Payne, F, Sayer, Aa, Sennblad, B, Silveira, A, Stancáková, A, Stirrups, K, Swift, Aj, Syvänen, Ac, Tuomi, T, VAN 'T HOOFT, Fm, Walker, M, Weedon, Mn, Xie, W, Zethelius, B, Diagram, Consortium, Giant, Consortium, Manunta, P, Muther, Consortium, Cardiogram, Consortium, C4d, Consortium, Ongen, H, Mälarstig, A, Hopewell, Jc, Saleheen, D, Chambers, J, Parish, S, Danesh, J, Kooner, J, Ostenson, Cg, Lind, L, Cooper, Cc, SERRANO-RÍOS, M, Ferrannini, E, Forsen, Tj, Clarke, R, Franzosi, Mg, Seedorf, U, Watkins, H, Froguel, P, Johnson, P, Deloukas, P, Collins, F, Laakso, M, Dermitzakis, Et, Boehnke, M, Mccarthy, Mi, Wareham, Nj, Groop, L, Pattou, F, Gloyn, Al, Dedoussis, Gv, Lyssenko, V, Meigs, Jb, Barroso, I, Watanabe, Rm, Ingelsson, E, Langenberg, C, Hamsten, A, and Florez, Jc
Published: 2011

40. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials

Author: Swerdlow, Daniel I, Preiss, David, Kuchenbaecker, Karoline B, Holmes, Michael V, Engmann, Jorgen E L, Shah, Tina, Sofat, Reecha, Stender, Stefan, Johnson, Paul C D, Scott, Robert A, Leusink, Maarten, Verweij, Niek, Sharp, Stephen J, Guo, Yiran, Giambartolomei, Claudia, Chung, Christina, Peasey, Anne, Amuzu, Antoinette, Li, KaWah, Palmen, Jutta, Howard, Philip, Cooper, Jackie A, Drenos, Fotios, Li, Yun R, Lowe, Gordon, Gallacher, John, Stewart, Marlene C W, Tzoulaki, Ioanna, Buxbaum, Sarah G, van der A, Daphne L, Forouhi, Nita G, Onland-Moret, N Charlotte, van der Schouw, Yvonne T, Schnabel, Renate B, Hubacek, Jaroslav A, Kubinova, Ruzena, Baceviciene, Migle, Tamosiunas, Abdonas, Pajak, Andrzej, Topor-Madry, Romanvan, Stepaniak, Urszula, Malyutina, Sofia, Baldassarre, Damiano, Sennblad, Bengt, Tremoli, Elena, de Faire, Ulf, der Zee, Anke H Maitland-van, Klungel, Olaf H, de Boer, Anthonius, Dale, Caroline, DIAGRAM Consortium, MAGIC Consortium, InterAct Consortium, Dep Farmaceutische wetenschappen, Sub Pharmacotherapy, Theoretical, and Pharmacoepidemiology and Clinical Pharmacology
Abstract: BACKGROUND: Statins increase the risk of new-onset type 2 diabetes mellitus. We aimed to assess whether this increase in risk is a consequence of inhibition of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR), the intended drug target. METHODS: We used single nucleotide polymorphisms in the HMGCR gene, rs17238484 (for the main analysis) and rs12916 (for a subsidiary analysis) as proxies for HMGCR inhibition by statins. We examined associations of these variants with plasma lipid, glucose, and insulin concentrations; bodyweight; waist circumference; and prevalent and incident type 2 diabetes. Study-specific effect estimates per copy of each LDL-lowering allele were pooled by meta-analysis. These findings were compared with a meta-analysis of new-onset type 2 diabetes and bodyweight change data from randomised trials of statin drugs. The effects of statins in each randomised trial were assessed using meta-analysis. FINDINGS: Data were available for up to 223 463 individuals from 43 genetic studies. Each additional rs17238484-G allele was associated with a mean 0·06 mmol/L (95% CI 0·05-0·07) lower LDL cholesterol and higher body weight (0·30 kg, 0·18-0·43), waist circumference (0·32 cm, 0·16-0·47), plasma insulin concentration (1·62%, 0·53-2·72), and plasma glucose concentration (0·23%, 0·02-0·44). The rs12916 SNP had similar effects on LDL cholesterol, bodyweight, and waist circumference. The rs17238484-G allele seemed to be associated with higher risk of type 2 diabetes (odds ratio [OR] per allele 1·02, 95% CI 1·00-1·05); the rs12916-T allele association was consistent (1·06, 1·03-1·09). In 129 170 individuals in randomised trials, statins lowered LDL cholesterol by 0·92 mmol/L (95% CI 0·18-1·67) at 1-year of follow-up, increased bodyweight by 0·24 kg (95% CI 0·10-0·38 in all trials; 0·33 kg, 95% CI 0·24-0·42 in placebo or standard care controlled trials and -0·15 kg, 95% CI -0·39 to 0·08 in intensive-dose vs moderate-dose trials) at a mean of 4·2 years (range 1·9-6·7) of follow-up, and increased the odds of new-onset type 2 diabetes (OR 1·12, 95% CI 1·06-1·18 in all trials; 1·11, 95% CI 1·03-1·20 in placebo or standard care controlled trials and 1·12, 95% CI 1·04-1·22 in intensive-dose vs moderate dose trials). INTERPRETATION: The increased risk of type 2 diabetes noted with statins is at least partially explained by HMGCR inhibition. FUNDING: The funding sources are cited at the end of the paper.
Published: 2014

41. Meta-analysis of type 2 Diabetes in African Americans Consortium

Author: DIAGRAM Consortium, Clinicum, Department of Medicine, Hjelt Institute (-2014), and Department of Public Health
Subjects: endocrine system diseases, 3121 General medicine, internal medicine and other clinical medicine
Abstract: Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)
Published: 2014

42. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author: Circulatory Health, Experimentele Afd. Cardiologie 1, Cardiologie, JC onderzoeksprogramma Methodologie, Cancer, Zorgeenheid Vaatchirurgie Medisch, Onderzoek Vrouw Hart & Vaatziekten, Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tonu, Fall, Tove, Kilpelainen, Tuomas O., Lu, Yingchang, Magi, Reedik, Mihailov, Evelin, Pers, Tune H., Rueeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amelie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Haitjema, Saskia, van der Laan, Sander W., van Setten, Jessica, Asselbergs, Folkert W., de Bakker, Paul I. W., Moll, Frans L., Pasterkamp, Gerard, den Ruijter, Hester M., CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Circulatory Health, Experimentele Afd. Cardiologie 1, Cardiologie, JC onderzoeksprogramma Methodologie, Cancer, Zorgeenheid Vaatchirurgie Medisch, Onderzoek Vrouw Hart & Vaatziekten, Winkler, Thomas W., Justice, Anne E., Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F., Chu, Su, Czajkowski, Jacek, Esko, Tonu, Fall, Tove, Kilpelainen, Tuomas O., Lu, Yingchang, Magi, Reedik, Mihailov, Evelin, Pers, Tune H., Rueeger, Sina, Teumer, Alexander, Ehret, Georg B., Ferreira, Teresa, Heard-Costa, Nancy L., Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D., Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M., Jansen, Rick, Westra, Harm-Jan, White, Charles C., Absher, Devin, Ahluwalia, Tarunveer S., Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L., de Craen, Anton J. M., Bis, Joshua C., Bonnefond, Amelie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston W. K., Haitjema, Saskia, van der Laan, Sander W., van Setten, Jessica, Asselbergs, Folkert W., de Bakker, Paul I. W., Moll, Frans L., Pasterkamp, Gerard, den Ruijter, Hester M., CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, and MAGIC Consortium
Published: 2015

43. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

Author: JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Circulatory Health, Cardiovasculaire Epidemiologie, Gaulton, Kyle J, Ferreira, Teresa, Lee, Yeji, Raimondo, Anne, Mägi, Reedik, Reschen, Michael E, Mahajan, Anubha, Locke, Adam, William Rayner, N, Robertson, Neil, Scott, Robert A, Prokopenko, Inga, Scott, Laura J, Green, Todd, Sparso, Thomas, Thuillier, Dorothee, Yengo, Loic, Grallert, Harald, Wahl, Simone, Frånberg, Mattias, Strawbridge, Rona J, Kestler, Hans, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Li, Man, Chen, Han, Fuchsberger, Christian, Kwan, Phoenix, Ma, Clement, Linderman, Michael, Lu, Yingchang, Thomsen, Soren K, Rundle, Jana K, Beer, Nicola L, van de Bunt, Martijn, Chalisey, Anil, Kang, Hyun Min, Voight, Benjamin F, Abecasis, Gonçalo R, Almgren, Peter, Baldassarre, Damiano, Balkau, Beverley, van der Schouw, Yvonne T, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Circulatory Health, Cardiovasculaire Epidemiologie, Gaulton, Kyle J, Ferreira, Teresa, Lee, Yeji, Raimondo, Anne, Mägi, Reedik, Reschen, Michael E, Mahajan, Anubha, Locke, Adam, William Rayner, N, Robertson, Neil, Scott, Robert A, Prokopenko, Inga, Scott, Laura J, Green, Todd, Sparso, Thomas, Thuillier, Dorothee, Yengo, Loic, Grallert, Harald, Wahl, Simone, Frånberg, Mattias, Strawbridge, Rona J, Kestler, Hans, Chheda, Himanshu, Eisele, Lewin, Gustafsson, Stefan, Steinthorsdottir, Valgerdur, Thorleifsson, Gudmar, Qi, Lu, Karssen, Lennart C, van Leeuwen, Elisabeth M, Willems, Sara M, Li, Man, Chen, Han, Fuchsberger, Christian, Kwan, Phoenix, Ma, Clement, Linderman, Michael, Lu, Yingchang, Thomsen, Soren K, Rundle, Jana K, Beer, Nicola L, van de Bunt, Martijn, Chalisey, Anil, Kang, Hyun Min, Voight, Benjamin F, Abecasis, Gonçalo R, Almgren, Peter, Baldassarre, Damiano, Balkau, Beverley, van der Schouw, Yvonne T, and DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Published: 2015

44. A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans

Author: Li, Huaixing, Gan, Wei, Lu, Ling, Dong, Xiao, Han, Xueyao, Hu, Cheng, Yang, Zhen, Sun, Liang, Bao, Wei, Li, Pengtao, He, Meian, Sun, Liangdan, Wang, Yiqin, Zhu, Jingwen, Ning, Qianqian, Tang, Yong, Zhang, Rong, Wen, Jie, Wang, Di, Zhu, Xilin, Guo, Kunquan, Zuo, Xianbo, Guo, Xiaohui, Yang, Handong, Zhou, Xianghai, DIAGRAM Consortium, AGEN-T2D Consortium, Zhang, Xuejun, Qi, Lu, Loos, Ruth JF, Hu, Frank B, Wu, Tangchun, Liu, Ying, Liu, Liegang, Yang, Ze, Hu, Renming, Jia, Weiping, Ji, Linong, Li, Yixue, Lin, Xu, Loos, Ruth [0000-0002-8532-5087], and Apollo - University of Cambridge Repository
Subjects: Blood Glucose, G-Protein-Coupled Receptor Kinase 5, China, endocrine system diseases, Quantitative Trait Loci, nutritional and metabolic diseases, Polymorphism, Single Nucleotide, Linkage Disequilibrium, DNA-Binding Proteins, Diabetes Mellitus, Type 2, Genetic Loci, Guanine Nucleotide Exchange Factors, Humans, Genetic Predisposition to Disease, human activities, Adiposity, Genome-Wide Association Study
Abstract: Substantial progress has been made in identification of type 2 diabetes (T2D) risk loci in the past few years, but our understanding of the genetic basis of T2D in ethnically diverse populations remains limited. We performed a genome-wide association study and a replication study in Chinese Hans comprising 8,569 T2D case subjects and 8,923 control subjects in total, from which 10 single nucleotide polymorphisms were selected for further follow-up in a de novo replication sample of 3,410 T2D case and 3,412 control subjects and an in silico replication sample of 6,952 T2D case and 11,865 control subjects. Besides confirming seven established T2D loci (CDKAL1, CDKN2A/B, KCNQ1, CDC123, GLIS3, HNF1B, and DUSP9) at genome-wide significance, we identified two novel T2D loci, including G-protein-coupled receptor kinase 5 (GRK5) (rs10886471: P = 7.1 × 10(-9)) and RASGRP1 (rs7403531: P = 3.9 × 10(-9)), of which the association signal at GRK5 seems to be specific to East Asians. In nondiabetic individuals, the T2D risk-increasing allele of RASGRP1-rs7403531 was also associated with higher HbA(1c) and lower homeostasis model assessment of β-cell function (P = 0.03 and 0.0209, respectively), whereas the T2D risk-increasing allele of GRK5-rs10886471 was also associated with higher fasting insulin (P = 0.0169) but not with fasting glucose. Our findings not only provide new insights into the pathophysiology of T2D, but may also shed light on the ethnic differences in T2D susceptibility.
Published: 2013

45. Genetic Variants Associated With Glycine Metabolism and Their Role in Insulin Sensitivity and Type 2 Diabetes

Author: Xie, W, Wood, Ar, Lyssenko, V, Weedon, Mn, Knowles, Jw, Alkayyali, S, Assimes, Tl, Quertermous, T, Abbasi, F, Paananen, J, Häring, H, Hansen, T, Pedersen, O, Smith, U, Laakso, M, Magic, Investigators, Diagram, Consortium, Genesis, Consortium, Risc, Consortium, Dekker, Jm, Nolan, Jj, Groop, L, Ferrannini, Eleuterio, Adam, Kp, Gall, We, Frayling, Tm, Walker, M., Epidemiology and Data Science, and EMGO - Lifestyle, overweight and diabetes
Subjects: Adult, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Metabolite, medicine.medical_treatment, Glycine, Genome-wide association study, Type 2 diabetes, Biology, Serine, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Insulin resistance, Diabetes mellitus, Internal medicine, Internal Medicine, medicine, Humans, AMINO-ACID-METABOLISM PLASMA HOMOCYSTEINE GLUCOSE METABOLOMICS WOMEN RISK RESISTANCE BIOMARKERS SECRETION DEFECTS, 030304 developmental biology, Original Research, 0303 health sciences, Insulin, Genetics/Genomes/Proteomics/Metabolomics, Middle Aged, medicine.disease, Betaine, Endocrinology, chemistry, Diabetes Mellitus, Type 2, Female, Insulin Resistance, 030217 neurology & neurosurgery
Abstract: Circulating metabolites associated with insulin sensitivity may represent useful biomarkers, but their causal role in insulin sensitivity and diabetes is less certain. We previously identified novel metabolites correlated with insulin sensitivity measured by the hyperinsulinemic-euglycemic clamp. The top-ranking metabolites were in the glutathione and glycine biosynthesis pathways. We aimed to identify common genetic variants associated with metabolites in these pathways and test their role in insulin sensitivity and type 2 diabetes. With 1,004 nondiabetic individuals from the RISC study, we performed a genome-wide association study (GWAS) of 14 insulin sensitivity–related metabolites and one metabolite ratio. We replicated our results in the Botnia study (n = 342). We assessed the association of these variants with diabetes-related traits in GWAS meta-analyses (GENESIS [including RISC, EUGENE2, and Stanford], MAGIC, and DIAGRAM). We identified four associations with three metabolites—glycine (rs715 at CPS1), serine (rs478093 at PHGDH), and betaine (rs499368 at SLC6A12; rs17823642 at BHMT)—and one association signal with glycine-to-serine ratio (rs1107366 at ALDH1L1). There was no robust evidence for association between these variants and insulin resistance or diabetes. Genetic variants associated with genes in the glycine biosynthesis pathways do not provide consistent evidence for a role of glycine in diabetes-related traits.
Published: 2013

46. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

Author: Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I, Amin N, Barnes D, Cadby G, Hottenga JJ, Ingelsson E, Boomsma DI, de Geus E, Penninx B, Willemsen G, Wright AF, Yaghootkar H, Zelenika D, Zemunik T, Zgaga L, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Multiple Tissue Human Expression Resource (MUTHER) Consortium, Wareham NJ, McCarthy MI, Barroso I, Watanabe RM, Florez JC, Dupuis J, Meigs JB, Langenberg C, Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I, Amin N, Barnes D, Cadby G, Hottenga JJ, Ingelsson E, Boomsma DI, de Geus E, Penninx B, Willemsen G, Wright AF, Yaghootkar H, Zelenika D, Zemunik T, Zgaga L, Multiple Tissue Human Expression Resource (MUTHER) Consortium, Wareham NJ, McCarthy MI, Barroso I, Watanabe RM, Florez JC, Dupuis J, Meigs JB, and Langenberg C
Published: 2012

47. Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk

Author: Marquez, M, Huyvaert, M, Perry, JRB, Pearson, RD, Falchi, M, Morris, AP, Vivequin, S, Lobbens, S, Yengo, L, Gaget, S, Pattou, F, Poulain-Godefroy, O, Charpentier, G, Carlsson, LMS, Jacobson, P, Sjöström, L, Lantieri, O, Heude, B, Walley, A, Balkau, B, Marre, M, Froguel, P, Cauchi, S, and DIAGRAM Consortium
Abstract: It has recently been suggested that the low-frequency c.136-14_136-13insC variant in high-mobility group A1 (HMGA1) may strongly contribute to insulin resistance and type 2 diabetes risk. In our study, we attempted to confirm that HMGA1 is a novel type 2 diabetes locus in French Caucasians. The gene was sequenced in 368 type 2 diabetic case subjects with a family history of type 2 diabetes and 372 normoglycemic control subjects without a family history of type 2 diabetes. None of the 41 genetic variations identified were associated with type 2 diabetes. The lack of association between the c.136-14_136-13insC variant and type 2 diabetes was confirmed in an independent French group of 4,538 case subjects and 4,015 control subjects and in a large meta-analysis of 16,605 case subjects and 46,179 control subjects. Finally, this variant had no effects on metabolic traits and was not involved in variations of HMGA1 and insulin receptor (INSR) expressions. The c.136-14_136-13insC variant was not associated with type 2 diabetes in individuals of European descent. Our study emphasizes the need to analyze a large number of subjects to reliably assess the association of low-frequency variants with the disease.
Published: 2012

48. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

Author: Park, Kyong Soo, Wu, Ying, Tay, Wan Ting, Chang, Tien-Jyun, Kim, Hyung-Lae, Ma, Ronald C.W., Chan, Juliana C.N., McCarthy, Mark I., Seielstad, Mark, Morris, Andrew P., Long, Jirong, Go, Min Jin, Chang, Yi-Cheng, Kato, Norihiro, Takeuchi, Fumihiko, Cho, Young Min, Takayanagi, Ryoichi, Hu, Frank B., Adair, Linda, Tai, E. Shyong, Yamauchi, Toshimasa, Chang, Li-Ching, Yokota, Mitsuhiro, DIAGRAM Consortium, Mohlke, Karen, Yamamoto, Ken, Wu, Jer-Yuarn, Chen, Chien-Hsiun, So, Wing Yee, Cho, Nam H., Wong, Tien Yin, Nakamura, Jirong, Li, Yun, Nakashima, Eitaro, Teo, Yik Ying, Jia, Weiping, Gao, Yutang, Kwak, Soo Heon, Cho, Yoon Shin, Wang, Congrong, Cai, Qiuyin, MuTHER Consortium, Sim, Xueling, Zheng, Wei, Ong, Rick Twee Hee, Shu, Xiao Ou, Liu, Jian Jun, Kim, Sangsoo, Bao, Yuqian, Aung, Tin, Kim, Young Jin, Zhang, Rong, Hara, Kazuo, Lee, Jong-Young, Han, Bok-Ghee, Lee, Nanette R., Chuang, Lee-Ming, Hu, Cheng, Maeda, Shiro, Tsai, Fuu-Jen, Ohnaka, Keizo, Hedman, Asa K., Lee, Jeannette Jen-Mai, Lu, Wei, Kadowaki, Takashi, Ikegami, Hiroshi, Chen, Yuan-Tsong, and Ng, Daniel Peng-Keat
Subjects: endocrine system diseases
Abstract: We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3. GLIS3, which is involved in pancreatic beta cell development and insulin gene expression1,2, is known for its association with fasting glucose levels3,4. The evidence of an association with T2D for PEPD5 and HNF4A6,7 has been shown in previous studies. KCNK16 may regulate glucose-dependent insulin secretion in the pancreas. These findings, derived from an east Asian population, provide new perspectives on the etiology of T2D.
Published: 2012
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49. Sex-specific differences in effect size estimates at established complex trait loci

Author: Orozco, G., Ioannidis, J.P., Morris, A., Zeggini, E., DIAGRAM Consortium (Gieger, C., Grallert, H., Huth, C., Illig, T., Klopp, N., Meitinger, T., Petersen, A.-K., Thorand, B., and Wichmann, H.-E.)
Subjects: Oncology, Male, medicine.medical_specialty, Bipolar Disorder, endocrine system diseases, Epidemiology, Single-nucleotide polymorphism, Genome-wide association study, Type 2 diabetes, Disease, Coronary Artery Disease, Polymorphism, Single Nucleotide, Arthritis, Rheumatoid, 03 medical and health sciences, 0302 clinical medicine, Sex Factors, Crohn Disease, Internal medicine, medicine, SNP, Humans, Genetic Predisposition to Disease, Allele, 030304 developmental biology, 0303 health sciences, Type 1 diabetes, Sex Characteristics, business.industry, nutritional and metabolic diseases, General Medicine, Odds ratio, medicine.disease, 3. Good health, Endocrinology, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Genome-Wide Association Study, Sex, Genetic Epidemiology, Chronic Disease, Hypertension, Female, business, 030217 neurology & neurosurgery
Abstract: Background Genetic differences between men and women may contribute to sex differences in prevalence and progression of many common complex diseases. Using the WTCCC GWAS, we analysed whether there are sex-specific differences in effect size estimates at 142 established loci for seven complex diseases: rheumatoid arthritis, type 1 diabetes (T1D), Crohn's disease, type 2 diabetes (T2D), hypertension, coronary artery disease and bipolar disorder. Using the WTCCC GWAS, we analysed whether there are sex-specific differences in effect size estimates at 142 established loci for seven complex diseases: rheumatoid arthritis, type 1 diabetes (T1D), Crohn's disease, type 2 diabetes (T2D), hypertension, coronary artery disease and bipolar disorder. Methods For each Single nucleotide polymorphism (SNP), we calculated the per-allele odds ratio for each sex and the relative odds ratios (RORs; the effect size is higher in men with ROR greater than one). RORs were then meta-analysed across loci within each disease and across diseases. Results For each disease, summary RORs were not different from one, but there was between-SNP heterogeneity in the RORs for T1D and T2D. Four loci in T1D, three in Crohn's disease and three in T2D showed differences in the genetic effect between men and women (P
Published: 2012

50. Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations

Author: Demirkan, Ayşe, van Duijn, Cornelia M, Ugocsai, Peter, Isaacs, Aaron, Pramstaller, Peter P, Liebisch, Gerhard, Wilson, James F, Johansson, Åsa, Rudan, Igor, Aulchenko, Yurii S, Kirichenko, Anatoly V, Janssens, A Cecile JW, Jansen, Ritsert C, Gnewuch, Carsten, Domingues, Francisco S, Pattaro, Cristian, Wild, Sarah H, Jonasson, Inger, Polasek, Ozren, Zorkoltseva, Irina V, Hofman, Albert, Karssen, Lennart C, Struchalin, Maksim, Floyd, James, Igl, Wilmar, Biloglav, Zrinka, Broer, Linda, Pfeufer, Arne, Pichler, Irene, Campbell, Susan, Zaboli, Ghazal, Kolcic, Ivana, Rivadeneira, Fernando, Huffman, Jennifer, Hastie, Nicholas D, Uitterlinden, Andre, Franke, Lude, Franklin, Christopher S, Vitart, Veronique, DIAGRAM Consortium, Nelson, Christopher P, Preuss, Michael, CARDIoGRAM Consortium, Bis, Joshua C, O'Donnell, Christopher J, Franceschini, Nora, CHARGE Consortium, Witteman, Jacqueline CM, Axenovich, Tatiana, Oostra, Ben A, Meitinger, Thomas, Hicks, Andrew A, Hayward, Caroline, Wright, Alan F, Gyllensten, Ulf, Campbell, Harry, Schmitz, Gerd, EUROSPAN consortium, Demirkan, Ayşe [0000-0002-7546-0867], Isaacs, Aaron [0000-0001-5037-4834], Liebisch, Gerhard [0000-0003-4886-0811], Johansson, Åsa [0000-0002-2915-4498], Janssens, A Cecile JW [0000-0002-6153-4976], Domingues, Francisco S [0000-0003-4567-4562], Polasek, Ozren [0000-0002-5765-1862], Karssen, Lennart C [0000-0002-1959-342X], Pichler, Irene [0000-0001-8251-0757], Kolcic, Ivana [0000-0001-7918-6052], Rivadeneira, Fernando [0000-0001-9435-9441], Franke, Lude [0000-0002-5159-8802], Hicks, Andrew A [0000-0001-6320-0411], Hayward, Caroline [0000-0002-9405-9550], and Apollo - University of Cambridge Repository
Subjects: Sphingolipids, Delta-5 Fatty Acid Desaturase, Diabetes Mellitus, Type 2, Genetic Loci, Genome, Human, Databases, Genetic, Humans, lipids (amino acids, peptides, and proteins), Carotid Intima-Media Thickness, Polymorphism, Single Nucleotide, Phospholipids, White People, Genome-Wide Association Study
Abstract: Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their metabolism leads to several diseases, with diverse neurological, psychiatric, and metabolic consequences. A large number of phospholipid and sphingolipid species can be detected and measured in human plasma. We conducted a meta-analysis of five European family-based genome-wide association studies (N = 4034) on plasma levels of 24 sphingomyelins (SPM), 9 ceramides (CER), 57 phosphatidylcholines (PC), 20 lysophosphatidylcholines (LPC), 27 phosphatidylethanolamines (PE), and 16 PE-based plasmalogens (PLPE), as well as their proportions in each major class. This effort yielded 25 genome-wide significant loci for phospholipids (smallest P-value = 9.88×10(-204)) and 10 loci for sphingolipids (smallest P-value = 3.10×10(-57)). After a correction for multiple comparisons (P-value
Published: 2012

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