Search

Your search keyword '"Dorothée Thuillier"' showing total 20 results
Start Over Author "Dorothée Thuillier"
20 results on '"Dorothée Thuillier"'

1. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author

Amand F. Schmidt, Michael V. Holmes, David Preiss, Daniel I. Swerdlow, Spiros Denaxas, Ghazaleh Fatemifar, Rupert Faraway, Chris Finan, Dennis Valentine, Zammy Fairhurst-Hunter, Fernando Pires Hartwig, Bernardo Lessa Horta, Elina Hypponen, Christine Power, Max Moldovan, Erik van Iperen, Kees Hovingh, Ilja Demuth, Kristina Norman, Elisabeth Steinhagen-Thiessen, Juri Demuth, Lars Bertram, Christina M. Lill, Stefan Coassin, Johann Willeit, Stefan Kiechl, Karin Willeit, Dan Mason, John Wright, Richard Morris, Goya Wanamethee, Peter Whincup, Yoav Ben-Shlomo, Stela McLachlan, Jackie F. Price, Mika Kivimaki, Catherine Welch, Adelaida Sanchez-Galvez, Pedro Marques-Vidal, Andrew Nicolaides, Andrie G. Panayiotou, N. Charlotte Onland-Moret, Yvonne T. van der Schouw, Giuseppe Matullo, Giovanni Fiorito, Simonetta Guarrera, Carlotta Sacerdote, Nicholas J. Wareham, Claudia Langenberg, Robert A. Scott, Jian’an Luan, Martin Bobak, Sofia Malyutina, Andrzej Pająk, Ruzena Kubinova, Abdonas Tamosiunas, Hynek Pikhart, Niels Grarup, Oluf Pedersen, Torben Hansen, Allan Linneberg, Tine Jess, Jackie Cooper, Steve E. Humphries, Murray Brilliant, Terrie Kitchner, Hakon Hakonarson, David S. Carrell, Catherine A. McCarty, Kirchner H. Lester, Eric B. Larson, David R. Crosslin, Mariza de Andrade, Dan M. Roden, Joshua C. Denny, Cara Carty, Stephen Hancock, John Attia, Elizabeth Holliday, Rodney Scott, Peter Schofield, Martin O’Donnell, Salim Yusuf, Michael Chong, Guillaume Pare, Pim van der Harst, M. Abdullah Said, Ruben N. Eppinga, Niek Verweij, Harold Snieder, Lifelines Cohort authors, Tim Christen, D. O. Mook-Kanamori, the ICBP Consortium, Stefan Gustafsson, Lars Lind, Erik Ingelsson, Raha Pazoki, Oscar Franco, Albert Hofman, Andre Uitterlinden, Abbas Dehghan, Alexander Teumer, Sebastian Baumeister, Marcus Dörr, Markus M. Lerch, Uwe Völker, Henry Völzke, Joey Ward, Jill P. Pell, Tom Meade, Ingrid E. Christophersen, Anke H. Maitland-van der Zee, Ekaterina V. Baranova, Robin Young, Ian Ford, Archie Campbell, Sandosh Padmanabhan, Michiel L. Bots, Diederick E. Grobbee, Philippe Froguel, Dorothée Thuillier, Ronan Roussel, Amélie Bonnefond, Bertrand Cariou, Melissa Smart, Yanchun Bao, Meena Kumari, Anubha Mahajan, Jemma C. Hopewell, Sudha Seshadri, the METASTROKE Consortium of the ISGC, Caroline Dale, Rui Providencia E. Costa, Paul M. Ridker, Daniel I. Chasman, Alex P. Reiner, Marylyn D. Ritchie, Leslie A. Lange, Alex J. Cornish, Sara E. Dobbins, Kari Hemminki, Ben Kinnersley, Marc Sanson, Karim Labreche, Matthias Simon, Melissa Bondy, Philip Law, Helen Speedy, James Allan, Ni Li, Molly Went, Niels Weinhold, Gareth Morgan, Pieter Sonneveld, Björn Nilsson, Hartmut Goldschmidt, Amit Sud, Andreas Engert, Markus Hansson, Harry Hemingway, Folkert W. Asselbergs, Riyaz S. Patel, Brendan J. Keating, Naveed Sattar, Richard Houlston, Juan P. Casas, and Aroon D. Hingorani

Subjects
Genetic association studies, Mendelian randomisation, LDL-cholesterol, Phenome-wide association scan, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Background We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. Methods Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. Results The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer’s disease – outcomes for which large-scale trial data were unavailable. Conclusions Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.

Published
2019
Full Text
View/download PDF

2. Hepatic transcriptomic signatures of statin treatment are associated with impaired glucose homeostasis in severely obese patients

Author

Daniel Margerie, Philippe Lefebvre, Violeta Raverdy, Uwe Schwahn, Hartmut Ruetten, Philip Larsen, Alain Duhamel, Julien Labreuche, Dorothée Thuillier, Bruno Derudas, Céline Gheeraert, Hélène Dehondt, Quentin Dhalluin, Jérémy Alexandre, Robert Caiazzo, Pamela Nesslany, Helene Verkindt, François Pattou, and Bart Staels

Subjects
Statin, Human, Liver, Iatrogenic diabetes, Gene expression, Gene networks, Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background Clinical data identified an association between the use of HMG-CoA reductase inhibitors (statins) and incident diabetes in patients with underlying diabetes risk factors such as obesity, hypertension and dyslipidemia. The molecular mechanisms however are unknown. Methods An observational cross-sectional study included 910 severely obese patients, mean (SD) body mass index (BMI) 46.7 (8.7), treated with or without statins (ABOS cohort: a biological atlas of severe obesity). Data and sample collection took place in France between 2006 and 2016. Transcriptomic signatures of statin treatment in human liver obtained from genome-wide transcriptomic profiling of five different statin drugs using microarrays were correlated to clinico-biological phenotypes and also assigned to biological pathways and mechanisms. Patients from the non-statin-users group were matched to patients in the statin users group by propensity score analysis to minimize confounding effects from age, gender, parental familial history of diabetes, BMI, waist circumference, systolic and diastolic blood pressure and use of anti-hypertensive drugs as pre-specified covariates. Results We determined the hepatic, statin-related gene signature from genome-wide transcriptomic profiling in severely obese patients with varying degrees of glucose tolerance and cardio-metabolic comorbidities. One hundred and fifty seven patients on statin treatment in the matched cohort showed higher diabetes prevalence (OR = 2.67; 95%CI, 1.60–4.45; P = 0.0002) and impairment of glucose homeostasis. This phenotype was associated with molecular signatures of increased hepatic de novo lipogenesis (DNL) via activation of sterol regulatory element-binding protein 1 (SREBP1) and concomitant upregulation of the expression of key genes in both fatty acid and triglyceride metabolism. Conclusions A DNL gene activation profile in response to statins is associated with insulin resistance and the diabetic status of the patients. Identified molecular signatures thus suggest that statin treatment increases the risk for diabetes in humans at least in part via induction of DNL. Trial registration NCT01129297. Registered May 242,010 (retrospectively registered).

Published
2019
Full Text
View/download PDF

3. NASH-related increases in plasma bile acid levels depend on insulin resistance

Author

Guillaume Grzych, Oscar Chávez-Talavera, Amandine Descat, Dorothée Thuillier, An Verrijken, Mostafa Kouach, Vanessa Legry, Hélène Verkindt, Violeta Raverdy, Benjamin Legendre, Robert Caiazzo, Luc Van Gaal, Jean-Francois Goossens, Réjane Paumelle, Sven Francque, François Pattou, Joel T. Haas, Anne Tailleux, and Bart Staels

Subjects
NASH, NAFLD, Bile acids, Diabetes, Insulin resistance, Obesity, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background & Aims: Plasma bile acids (BAs) have been extensively studied as pathophysiological actors in non-alcoholic steatohepatitis (NASH). However, results from clinical studies are often complicated by the association of NASH with type 2 diabetes (T2D), obesity, and insulin resistance (IR). Here, we sought to dissect the relationship between NASH, T2D, and plasma BA levels in a large patient cohort. Methods: Four groups of patients from the Biological Atlas of Severe Obesity (ABOS) cohort (Clinical Trials number NCT01129297) were included based on the presence or absence of histologically evaluated NASH with or without coincident T2D. Patients were matched for BMI, homeostatic model assessment 2 (HOMA2)-assessed IR, glycated haemoglobin, age, and gender. To study the effect of IR and BMI on the association of plasma BA and NASH, patients from the HEPADIP study were included. In both cohorts, fasting plasma BA concentrations were measured. Results: Plasma BA concentrations were higher in NASH compared with No-NASH patients both in T2D and NoT2D patients from the ABOS cohort. As we previously reported that plasma BA levels were unaltered in NASH patients of the HEPADIP cohort, we assessed the impact of BMI and IR on the association of NASH and BA on the combined BA datasets. Our results revealed that NASH-associated increases in plasma total cholic acid (CA) concentrations depend on the degree of HOMA2-assessed systemic IR, but not on β-cell function nor on BMI. Conclusions: Plasma BA concentrations are elevated only in those NASH patients exhibiting pronounced IR. Lay summary: Non-alcoholic steatohepatitis (NASH) is a progressive liver disease that frequently occurs in patients with obesity and type 2 diabetes. Reliable markers for the diagnosis of NASH are needed. Plasma bile acids have been proposed as NASH biomarkers. Herein, we found that plasma bile acids are only elevated in patients with NASH when significant insulin resistance is present, limiting their utility as NASH markers.

Published
2021
Full Text
View/download PDF

4. CoDE-seq, an augmented whole-exome sequencing, enables the accurate detection of CNVs and mutations in Mendelian obesity and intellectual disability

Author

Louise Montagne, Mehdi Derhourhi, Amélie Piton, Bénédicte Toussaint, Emmanuelle Durand, Emmanuel Vaillant, Dorothée Thuillier, Stefan Gaget, Franck De Graeve, Iandry Rabearivelo, Amélie Lansiaux, Bruno Lenne, Sylvie Sukno, Rachel Desailloud, Miriam Cnop, Ramona Nicolescu, Lior Cohen, Jean-François Zagury, Mélanie Amouyal, Jacques Weill, Jean Muller, Olivier Sand, Bruno Delobel, Philippe Froguel, and Amélie Bonnefond

Subjects
Internal medicine, RC31-1245
Abstract

Objective: The molecular diagnosis of extreme forms of obesity, in which accurate detection of both copy number variations (CNVs) and point mutations, is crucial for an optimal care of the patients and genetic counseling for their families. Whole-exome sequencing (WES) has benefited considerably this molecular diagnosis, but its poor ability to detect CNVs remains a major limitation. We aimed to develop a method (CoDE-seq) enabling the accurate detection of both CNVs and point mutations in one step. Methods: CoDE-seq is based on an augmented WES method, using probes distributed uniformly throughout the genome. CoDE-seq was validated in 40 patients for whom chromosomal DNA microarray was available. CNVs and mutations were assessed in 82 children/young adults with suspected Mendelian obesity and/or intellectual disability and in their parents when available (ntotal = 145). Results: CoDE-seq not only detected all of the 97 CNVs identified by chromosomal DNA microarrays but also found 84 additional CNVs, due to a better resolution. When compared to CoDE-seq and chromosomal DNA microarrays, WES failed to detect 37% and 14% of CNVs, respectively. In the 82 patients, a likely molecular diagnosis was achieved in >30% of the patients. Half of the genetic diagnoses were explained by CNVs while the other half by mutations. Conclusions: CoDE-seq has proven cost-efficient and highly effective as it avoids the sequential genetic screening approaches currently used in clinical practice for the accurate detection of CNVs and point mutations. Keywords: Augmented whole-exome sequencing, Copy number variation, Intellectual disability, Molecular diagnosis, Next-generation sequencing, Obesity

Published
2018
Full Text
View/download PDF

5. Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

Author

Mariaelisa Graff, Robert A Scott, Anne E Justice, Kristin L Young, Mary F Feitosa, Llilda Barata, Thomas W Winkler, Audrey Y Chu, Anubha Mahajan, David Hadley, Luting Xue, Tsegaselassie Workalemahu, Nancy L Heard-Costa, Marcel den Hoed, Tarunveer S Ahluwalia, Qibin Qi, Julius S Ngwa, Frida Renström, Lydia Quaye, John D Eicher, James E Hayes, Marilyn Cornelis, Zoltan Kutalik, Elise Lim, Jian'an Luan, Jennifer E Huffman, Weihua Zhang, Wei Zhao, Paula J Griffin, Toomas Haller, Shafqat Ahmad, Pedro M Marques-Vidal, Stephanie Bien, Loic Yengo, Alexander Teumer, Albert Vernon Smith, Meena Kumari, Marie Neergaard Harder, Johanne Marie Justesen, Marcus E Kleber, Mette Hollensted, Kurt Lohman, Natalia V Rivera, John B Whitfield, Jing Hua Zhao, Heather M Stringham, Leo-Pekka Lyytikäinen, Charlotte Huppertz, Gonneke Willemsen, Wouter J Peyrot, Ying Wu, Kati Kristiansson, Ayse Demirkan, Myriam Fornage, Maija Hassinen, Lawrence F Bielak, Gemma Cadby, Toshiko Tanaka, Reedik Mägi, Peter J van der Most, Anne U Jackson, Jennifer L Bragg-Gresham, Veronique Vitart, Jonathan Marten, Pau Navarro, Claire Bellis, Dorota Pasko, Åsa Johansson, Søren Snitker, Yu-Ching Cheng, Joel Eriksson, Unhee Lim, Mette Aadahl, Linda S Adair, Najaf Amin, Beverley Balkau, Juha Auvinen, John Beilby, Richard N Bergman, Sven Bergmann, Alain G Bertoni, John Blangero, Amélie Bonnefond, Lori L Bonnycastle, Judith B Borja, Søren Brage, Fabio Busonero, Steve Buyske, Harry Campbell, Peter S Chines, Francis S Collins, Tanguy Corre, George Davey Smith, Graciela E Delgado, Nicole Dueker, Marcus Dörr, Tapani Ebeling, Gudny Eiriksdottir, Tõnu Esko, Jessica D Faul, Mao Fu, Kristine Færch, Christian Gieger, Sven Gläser, Jian Gong, Penny Gordon-Larsen, Harald Grallert, Tanja B Grammer, Niels Grarup, Gerard van Grootheest, Kennet Harald, Nicholas D Hastie, Aki S Havulinna, Dena Hernandez, Lucia Hindorff, Lynne J Hocking, Oddgeir L Holmens, Christina Holzapfel, Jouke Jan Hottenga, Jie Huang, Tao Huang, Jennie Hui, Cornelia Huth, Nina Hutri-Kähönen, Alan L James, John-Olov Jansson, Min A Jhun, Markus Juonala, Leena Kinnunen, Heikki A Koistinen, Ivana Kolcic, Pirjo Komulainen, Johanna Kuusisto, Kirsti Kvaløy, Mika Kähönen, Timo A Lakka, Lenore J Launer, Benjamin Lehne, Cecilia M Lindgren, Mattias Lorentzon, Robert Luben, Michel Marre, Yuri Milaneschi, Keri L Monda, Grant W Montgomery, Marleen H M De Moor, Antonella Mulas, Martina Müller-Nurasyid, A W Musk, Reija Männikkö, Satu Männistö, Narisu Narisu, Matthias Nauck, Jennifer A Nettleton, Ilja M Nolte, Albertine J Oldehinkel, Matthias Olden, Ken K Ong, Sandosh Padmanabhan, Lavinia Paternoster, Jeremiah Perez, Markus Perola, Annette Peters, Ulrike Peters, Patricia A Peyser, Inga Prokopenko, Hannu Puolijoki, Olli T Raitakari, Tuomo Rankinen, Laura J Rasmussen-Torvik, Rajesh Rawal, Paul M Ridker, Lynda M Rose, Igor Rudan, Cinzia Sarti, Mark A Sarzynski, Kai Savonen, William R Scott, Serena Sanna, Alan R Shuldiner, Steve Sidney, Günther Silbernagel, Blair H Smith, Jennifer A Smith, Harold Snieder, Alena Stančáková, Barbara Sternfeld, Amy J Swift, Tuija Tammelin, Sian-Tsung Tan, Barbara Thorand, Dorothée Thuillier, Liesbeth Vandenput, Henrik Vestergaard, Jana V van Vliet-Ostaptchouk, Marie-Claude Vohl, Uwe Völker, Gérard Waeber, Mark Walker, Sarah Wild, Andrew Wong, Alan F Wright, M Carola Zillikens, Niha Zubair, Christopher A Haiman, Loic Lemarchand, Ulf Gyllensten, Claes Ohlsson, Albert Hofman, Fernando Rivadeneira, André G Uitterlinden, Louis Pérusse, James F Wilson, Caroline Hayward, Ozren Polasek, Francesco Cucca, Kristian Hveem, Catharina A Hartman, Anke Tönjes, Stefania Bandinelli, Lyle J Palmer, Sharon L R Kardia, Rainer Rauramaa, Thorkild I A Sørensen, Jaakko Tuomilehto, Veikko Salomaa, Brenda W J H Penninx, Eco J C de Geus, Dorret I Boomsma, Terho Lehtimäki, Massimo Mangino, Markku Laakso, Claude Bouchard, Nicholas G Martin, Diana Kuh, Yongmei Liu, Allan Linneberg, Winfried März, Konstantin Strauch, Mika Kivimäki, Tamara B Harris, Vilmundur Gudnason, Henry Völzke, Lu Qi, Marjo-Riitta Järvelin, John C Chambers, Jaspal S Kooner, Philippe Froguel, Charles Kooperberg, Peter Vollenweider, Göran Hallmans, Torben Hansen, Oluf Pedersen, Andres Metspalu, Nicholas J Wareham, Claudia Langenberg, David R Weir, David J Porteous, Eric Boerwinkle, Daniel I Chasman, CHARGE Consortium, EPIC-InterAct Consortium, PAGE Consortium, Gonçalo R Abecasis, Inês Barroso, Mark I McCarthy, Timothy M Frayling, Jeffrey R O'Connell, Cornelia M van Duijn, Michael Boehnke, Iris M Heid, Karen L Mohlke, David P Strachan, Caroline S Fox, Ching-Ti Liu, Joel N Hirschhorn, Robert J Klein, Andrew D Johnson, Ingrid B Borecki, Paul W Franks, Kari E North, L Adrienne Cupples, Ruth J F Loos, and Tuomas O Kilpeläinen

Subjects
Genetics, QH426-470
Abstract

[This corrects the article DOI: 10.1371/journal.pgen.1006528.].

Published
2017
Full Text
View/download PDF

6. Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

Author

Mariaelisa Graff, Robert A Scott, Anne E Justice, Kristin L Young, Mary F Feitosa, Llilda Barata, Thomas W Winkler, Audrey Y Chu, Anubha Mahajan, David Hadley, Luting Xue, Tsegaselassie Workalemahu, Nancy L Heard-Costa, Marcel den Hoed, Tarunveer S Ahluwalia, Qibin Qi, Julius S Ngwa, Frida Renström, Lydia Quaye, John D Eicher, James E Hayes, Marilyn Cornelis, Zoltan Kutalik, Elise Lim, Jian'an Luan, Jennifer E Huffman, Weihua Zhang, Wei Zhao, Paula J Griffin, Toomas Haller, Shafqat Ahmad, Pedro M Marques-Vidal, Stephanie Bien, Loic Yengo, Alexander Teumer, Albert Vernon Smith, Meena Kumari, Marie Neergaard Harder, Johanne Marie Justesen, Marcus E Kleber, Mette Hollensted, Kurt Lohman, Natalia V Rivera, John B Whitfield, Jing Hua Zhao, Heather M Stringham, Leo-Pekka Lyytikäinen, Charlotte Huppertz, Gonneke Willemsen, Wouter J Peyrot, Ying Wu, Kati Kristiansson, Ayse Demirkan, Myriam Fornage, Maija Hassinen, Lawrence F Bielak, Gemma Cadby, Toshiko Tanaka, Reedik Mägi, Peter J van der Most, Anne U Jackson, Jennifer L Bragg-Gresham, Veronique Vitart, Jonathan Marten, Pau Navarro, Claire Bellis, Dorota Pasko, Åsa Johansson, Søren Snitker, Yu-Ching Cheng, Joel Eriksson, Unhee Lim, Mette Aadahl, Linda S Adair, Najaf Amin, Beverley Balkau, Juha Auvinen, John Beilby, Richard N Bergman, Sven Bergmann, Alain G Bertoni, John Blangero, Amélie Bonnefond, Lori L Bonnycastle, Judith B Borja, Søren Brage, Fabio Busonero, Steve Buyske, Harry Campbell, Peter S Chines, Francis S Collins, Tanguy Corre, George Davey Smith, Graciela E Delgado, Nicole Dueker, Marcus Dörr, Tapani Ebeling, Gudny Eiriksdottir, Tõnu Esko, Jessica D Faul, Mao Fu, Kristine Færch, Christian Gieger, Sven Gläser, Jian Gong, Penny Gordon-Larsen, Harald Grallert, Tanja B Grammer, Niels Grarup, Gerard van Grootheest, Kennet Harald, Nicholas D Hastie, Aki S Havulinna, Dena Hernandez, Lucia Hindorff, Lynne J Hocking, Oddgeir L Holmens, Christina Holzapfel, Jouke Jan Hottenga, Jie Huang, Tao Huang, Jennie Hui, Cornelia Huth, Nina Hutri-Kähönen, Alan L James, John-Olov Jansson, Min A Jhun, Markus Juonala, Leena Kinnunen, Heikki A Koistinen, Ivana Kolcic, Pirjo Komulainen, Johanna Kuusisto, Kirsti Kvaløy, Mika Kähönen, Timo A Lakka, Lenore J Launer, Benjamin Lehne, Cecilia M Lindgren, Mattias Lorentzon, Robert Luben, Michel Marre, Yuri Milaneschi, Keri L Monda, Grant W Montgomery, Marleen H M De Moor, Antonella Mulas, Martina Müller-Nurasyid, A W Musk, Reija Männikkö, Satu Männistö, Narisu Narisu, Matthias Nauck, Jennifer A Nettleton, Ilja M Nolte, Albertine J Oldehinkel, Matthias Olden, Ken K Ong, Sandosh Padmanabhan, Lavinia Paternoster, Jeremiah Perez, Markus Perola, Annette Peters, Ulrike Peters, Patricia A Peyser, Inga Prokopenko, Hannu Puolijoki, Olli T Raitakari, Tuomo Rankinen, Laura J Rasmussen-Torvik, Rajesh Rawal, Paul M Ridker, Lynda M Rose, Igor Rudan, Cinzia Sarti, Mark A Sarzynski, Kai Savonen, William R Scott, Serena Sanna, Alan R Shuldiner, Steve Sidney, Günther Silbernagel, Blair H Smith, Jennifer A Smith, Harold Snieder, Alena Stančáková, Barbara Sternfeld, Amy J Swift, Tuija Tammelin, Sian-Tsung Tan, Barbara Thorand, Dorothée Thuillier, Liesbeth Vandenput, Henrik Vestergaard, Jana V van Vliet-Ostaptchouk, Marie-Claude Vohl, Uwe Völker, Gérard Waeber, Mark Walker, Sarah Wild, Andrew Wong, Alan F Wright, M Carola Zillikens, Niha Zubair, Christopher A Haiman, Loic Lemarchand, Ulf Gyllensten, Claes Ohlsson, Albert Hofman, Fernando Rivadeneira, André G Uitterlinden, Louis Pérusse, James F Wilson, Caroline Hayward, Ozren Polasek, Francesco Cucca, Kristian Hveem, Catharina A Hartman, Anke Tönjes, Stefania Bandinelli, Lyle J Palmer, Sharon L R Kardia, Rainer Rauramaa, Thorkild I A Sørensen, Jaakko Tuomilehto, Veikko Salomaa, Brenda W J H Penninx, Eco J C de Geus, Dorret I Boomsma, Terho Lehtimäki, Massimo Mangino, Markku Laakso, Claude Bouchard, Nicholas G Martin, Diana Kuh, Yongmei Liu, Allan Linneberg, Winfried März, Konstantin Strauch, Mika Kivimäki, Tamara B Harris, Vilmundur Gudnason, Henry Völzke, Lu Qi, Marjo-Riitta Järvelin, John C Chambers, Jaspal S Kooner, Philippe Froguel, Charles Kooperberg, Peter Vollenweider, Göran Hallmans, Torben Hansen, Oluf Pedersen, Andres Metspalu, Nicholas J Wareham, Claudia Langenberg, David R Weir, David J Porteous, Eric Boerwinkle, Daniel I Chasman, CHARGE Consortium, EPIC-InterAct Consortium, PAGE Consortium, Gonçalo R Abecasis, Inês Barroso, Mark I McCarthy, Timothy M Frayling, Jeffrey R O'Connell, Cornelia M van Duijn, Michael Boehnke, Iris M Heid, Karen L Mohlke, David P Strachan, Caroline S Fox, Ching-Ti Liu, Joel N Hirschhorn, Robert J Klein, Andrew D Johnson, Ingrid B Borecki, Paul W Franks, Kari E North, L Adrienne Cupples, Ruth J F Loos, and Tuomas O Kilpeläinen

Subjects
Genetics, QH426-470
Abstract

Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

Published
2017
Full Text
View/download PDF

7. A comparison of changes in bone turnover markers after gastric bypass and sleeve gastrectomy, and their association with markers of interest

Author

Julien Paccou, Dorothée Thuillier, Marion Courtalin, Pascal Pigny, Julien Labreuche, Bernard Cortet, and François Pattou

Subjects
Male, Treatment Outcome, Gastrectomy, Gastric Bypass, Humans, Female, Surgery, Bone Remodeling, Prospective Studies, Middle Aged, Obesity, Morbid
Abstract

It is still debated whether differences in bone turnover markers (BTMs) exist between the 2 most popular bariatric surgery procedures (Roux-en-Y gastric bypass [RYGB] and sleeve gastrectomy [SG]).To compare changes in BTMs after RYGB and SG, and to investigate their association with predefined markers of interest.University hospital, Lille, France.An ancillary investigation of a prospective cohort was conducted. SG patients with severe obesity ≥40 years were matched one-to-one to RYGB patients for age, sex, body mass index (BMI), and menopausal status. BTMs, as well as predefined markers of interest, were measured at baseline, 12, and 24 months after bariatric surgery.Sixty-four patients (66% women) had a mean (standard deviation [SD]) age of 49.6 years (5.1) and a mean (SD) BMI of 45.0 kg/mRYGB was associated with a greater increase in BTMs than SG at 12 and 24 months.

Published
2022
Full Text
View/download PDF

8. PSD3 downregulation confers protection against fatty liver disease

Author

Rosellina M. Mancina, Kavitha Sasidharan, Anna Lindblom, Ying Wei, Ester Ciociola, Oveis Jamialahmadi, Piero Pingitore, Anne-Christine Andréasson, Giovanni Pellegrini, Guido Baselli, Ville Männistö, Jussi Pihlajamäki, Vesa Kärjä, Stefania Grimaudo, Ilaria Marini, Marco Maggioni, Barbara Becattini, Federica Tavaglione, Carly Dix, Marie Castaldo, Stephanie Klein, Mark Perelis, Francois Pattou, Dorothée Thuillier, Violeta Raverdy, Paola Dongiovanni, Anna Ludovica Fracanzani, Felix Stickel, Jochen Hampe, Stephan Buch, Panu K. Luukkonen, Daniele Prati, Hannele Yki-Järvinen, Salvatore Petta, Chao Xing, Clemens Schafmayer, Elmar Aigner, Christian Datz, Richard G. Lee, Luca Valenti, Daniel Lindén, Stefano Romeo, Mancina, Rosellina M, Sasidharan, Kavitha, Lindblom, Anna, Wei, Ying, Ciociola, Ester, Jamialahmadi, Ovei, Pingitore, Piero, Andréasson, Anne-Christine, Pellegrini, Giovanni, Baselli, Guido, Männistö, Ville, Pihlajamäki, Jussi, Kärjä, Vesa, Grimaudo, Stefania, Marini, Ilaria, Maggioni, Marco, Becattini, Barbara, Tavaglione, Federica, Dix, Carly, Castaldo, Marie, Klein, Stephanie, Perelis, Mark, Pattou, Francoi, Thuillier, Dorothée, Raverdy, Violeta, Dongiovanni, Paola, Fracanzani, Anna Ludovica, Stickel, Felix, Hampe, Jochen, Buch, Stephan, Luukkonen, Panu K, Prati, Daniele, Yki-Järvinen, Hannele, Petta, Salvatore, Xing, Chao, Schafmayer, Clemen, Aigner, Elmar, Datz, Christian, Lee, Richard G, Valenti, Luca, Lindén, Daniel, Romeo, Stefano, HUS Internal Medicine and Rehabilitation, Department of Medicine, and Department of Biochemistry and Developmental Biology

Subjects
Genotype, Endocrinology, Diabetes and Metabolism, VARIANT, SUSCEPTIBILITY, Polymorphism, Single Nucleotide, Article, Cell Line, Mice, Ribonucleases, Physiology (medical), Internal Medicine, Animals, Guanine Nucleotide Exchange Factors, Humans, RNA-Seq, Alleles, Non-alcoholic steatohepatitis, NONALCOHOLIC STEATOHEPATITIS, HERITABILITY, Gene Expression Profiling, fungi, NASH, Genetic Variation, Cell Biology, Metabolic syndrome, Fatty Liver, Metabolism, Gene Expression Regulation, Liver, EXOME-WIDE ASSOCIATION, 3121 General medicine, internal medicine and other clinical medicine, ACID, Hepatocytes, SECRETION, Disease Susceptibility, VLDL, Biomarkers, TRIGLYCERIDES, Non-alcoholic fatty liver disease
Abstract

Fatty liver disease (FLD) is a growing health issue with burdening unmet clinical needs. FLD has a genetic component but, despite the common variants already identified, there is still a missing heritability component. Using a candidate gene approach, we identify a locus (rs71519934) at the Pleckstrin and Sec7 domain-containing 3 (PSD3) gene resulting in a leucine to threonine substitution at position 186 of the protein (L186T) that reduces susceptibility to the entire spectrum of FLD in individuals at risk. PSD3 downregulation by short interfering RNA reduces intracellular lipid content in primary human hepatocytes cultured in two and three dimensions, and in human and rodent hepatoma cells. Consistent with this, Psd3 downregulation by antisense oligonucleotides in vivo protects against FLD in mice fed a non-alcoholic steatohepatitis-inducing diet. Thus, translating these results to humans, PSD3 downregulation might be a future therapeutic option for treating FLD., Employing a candidate gene approach, Mancina et al. identify a genetic variant of the Pleckstrin and Sec7 domain-containing 3 (PSD3) gene that reduces susceptibility to fatty liver disease. Functional studies in vitro and in vivo demonstrate that targeting PSD3 protects against fatty liver disease.

Published
2022

9. Exome-Wide Association Study on Alanine Aminotransferase Identifies Sequence Variants in the GPAM and APOE Associated With Fatty Liver Disease

Author

François Pattou, Panu K. Luukkonen, Violeta Raverdy, Ville Männistö, Stefano Romeo, Daniele Prati, Salvatore Petta, Rosaria Maria Pipitone, Rocco Spagnuolo, Guido Baselli, Rosellina Margherita Mancina, Oveis Jamialahmadi, Grazia Pennisi, Federica Tavaglione, Luca Valenti, Francesco Malvestiti, Dorothée Thuillier, Jussi Pihlajamäki, Ester Ciociola, Hannele Yki-Järvinen, HUS Internal Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry and Developmental Biology, Jamialahmadi O., Mancina R.M., Ciociola E., Tavaglione F., Luukkonen P.K., Baselli G., Malvestiti F., Thuillier D., Raverdy V., Mannisto V., Pipitone R.M., Pennisi G., Prati D., Spagnuolo R., Petta S., Pihlajamaki J., Pattou F., Yki-Jarvinen H., Valenti L., and Romeo S.

Subjects
0301 basic medicine, Genome-wide association study, Liver disease, 0302 clinical medicine, ENRICHMENT ANALYSIS, Non-alcoholic Fatty Liver Disease, Risk Factors, Nonalcoholic fatty liver disease, Exome, CONFERS SUSCEPTIBILITY, Genetics, INSULIN-RESISTANCE, medicine.diagnostic_test, Fatty liver, Gastroenterology, Alanine Transaminase, 1-Acylglycerol-3-Phosphate O-Acyltransferase, 3. Good health, GENOME, Europe, Phenotype, Liver biopsy, 030211 gastroenterology & hepatology, Nonalcoholic Fatty Liver Disease, MAFLD, Single-nucleotide polymorphism, Biology, Transaminase, Risk Assessment, 03 medical and health sciences, Apolipoproteins E, NAFLD, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, HEPATIC STEATOSIS, Genetic association, MAFLD, Phenotype, Reproducibility of Results, Risk Assessment, Risk Factors, Transcriptome, Genetic Variation, Metabolic Associated Fatty Liver Disease, Nonalcoholic Fatty Liver Disease, Transaminase, 1-Acylglycerol-3-Phosphate O-Acyltransferase, Alanine Transaminase, Apolipoproteins E, Biomarkers, Europe, Exome, Gene Expression Profiling, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Non-alcoholic Fatty Liver Disease, Hepatology, MUTATIONS, Gene Expression Profiling, Genetic Variation, Reproducibility of Results, medicine.disease, X-RECEPTOR, GENE, 030104 developmental biology, 3121 General medicine, internal medicine and other clinical medicine, Metabolic Associated Fatty Liver Disease, RNA-SEQ DATA, Transcriptome, PATHOGENICITY, Biomarkers, Genome-Wide Association Study
Abstract

BACKGROUND & AIMS: Fatty liver disease (FLD) is a growing epidemic that is expected to be the leading cause of end-stage liver disease within the next decade. Both environmental and genetic factors contribute to the susceptibility of FLD. Several genetic variants contributing to FLD have been identified in exome-wide association studies. However, there is still a missing hereditability indicating that other genetic variants are yet to be discovered. METHODS: To find genes involved in FLD, we first examined the association of missense and nonsense variants with alanine amino transferase at an exome-wide level in 425,671 participants from the UK Biobank. We then validated genetic variants with liver fat content in 8930 participants in whom liver fat measurement was available, and replicated 2 genetic variants in 3 independent cohorts comprising 2621 individuals with available liver biopsy. RESULTS: We identified 190 genetic variants independently associated with alanine aminotransferase after correcting for multiple testing with Bonferroni method. The majority of these variants were not previously associated with this trait. Among those associated, there was a striking enrichment of genetic variants influencing lipid metabolism. We identified the variants rs2792751 in GPAM/GPAT1, the gene encoding glycerol-3phosphate acyltransferase, mitochondrial, and rs429358 in APOE, the gene encoding apolipoprotein E, as robustly associated with liver fat content and liver disease after adjusting for multiple testing. Both genes affect lipid metabolism in the liver. CONCLUSIONS: We identified 2 novel genetic variants in GPAM and APOE that are robustly associated with steatosis and liver damage. These findings may help to better elucidate the genetic susceptibility to FLD onset and progression.

Published
2020

10. Incidence and Predictive Factors of Postprandial Hyperinsulinemic Hypoglycemia After Roux-en-Y Gastric Bypass

Author

Gregory Baud, Marie-Christine Vantyghem, Cristian Preda, Patrick Gélé, Violeta Raverdy, Marie Pigeyre, Robert Caiazzo, François Pattou, Dorothée Thuillier, Hélène Verkindt, and Fanelly Torres

Subjects
Adult, Male, medicine.medical_specialty, medicine.medical_treatment, Gastric Bypass, 030209 endocrinology & metabolism, medicine.disease_cause, Gastroenterology, 03 medical and health sciences, Postoperative Complications, 0302 clinical medicine, Risk Factors, Weight loss, Hyperinsulinism, Internal medicine, medicine, Humans, Longitudinal Studies, Hyperinsulinemic hypoglycemia, Prospective cohort study, Aged, Glucose tolerance test, medicine.diagnostic_test, business.industry, Incidence, Insulin, Incidence (epidemiology), Area under the curve, nutritional and metabolic diseases, Glucose Tolerance Test, Middle Aged, Postprandial Period, Hypoglycemia, Obesity, Morbid, Postprandial, Endocrinology, Female, 030211 gastroenterology & hepatology, Surgery, medicine.symptom, business
Abstract

BACKGROUND Postprandial hyperinsulinemic hypoglycemia (PHH) is often reported after Roux-en-Y gastric bypass (RYGB). In the absence of a prospective study, the clinical and biological determinants of PHH remain unclear. OBJECTIVE To determine the incidence and predictive factors of PHH after RYGB. METHODS Participants were 957 RYGB patients enrolled in an ongoing longitudinal cohort study. We analyzed the results of an oral glucose tolerance test (OGTT) routinely performed before surgery and 1 and/or 5 years after. PHH was defined as blood glucose 3 mU/L at 120 minutes post glucose challenge. Validated indices of insulin sensitivity (Matsuda index), beta-cell function (Insulinogenic index), and beta-cell mass (fasting C-peptide: glucose ratio) were calculated, from glucose, insulin, and c-peptide values measured during OGTT. RESULTS OGTT results were available in all patients at baseline, in 85.6% at 12 months and 52.8% at 60 months. The incidence of PHH was 0.5% at baseline, 9.1% * and 7.9%* at 12 months and 60 months following RYGB (*: P < 0.001). In multivariate logistic regression analysis, PHH after RYGB was independently associated with lower age (P = 0.005), greater weight loss (P = 0.031), as well as higher beta-cell function (P = 0.002) and insulin sensitivity (P < 0.001), but not with beta-cell mass (P = 0.381). A preoperative elevated beta-cell function was an independent predictor of PHH after RYGB (receiver operating characteristics curve area under the curve 0.68, P = 0.04). CONCLUSIONS: The incidence of PHH significantly increased after RYGB but remained stable between 1 and 5 years. The estimation of beta-cell function with an OGTT before surgery can identify patients at risk for developing PHH after RYGB.

Published
2016
Full Text
View/download PDF

11. The genetic architecture of type 2 diabetes

Author

Clement Ma, Liisa Hakaste, Claes Ladenvall, Massimo Mangino, Lars Lind, Aaron G. Day-Williams, Ryan Poplin, Thomas Schwarzmayr, Annette Peters, Thomas Meitinger, Satish Kumar, Kyong Soo Park, Ching-Yu Cheng, Farook Thameem, Kyle J. Gaulton, Olov Rolandsson, Yossi Farjoun, Neil Robertson, Mauricio O. Carneiro, Mark A. DePristo, Pierre Fontanillas, Ruth J. F. Loos, Heather M. Highland, Vilmantas Giedraitis, Gemma Buck, Fredrik Karpe, Mohammad Kamran Ikram, Alex S. F. Doney, Hae Kyung Im, Eric S. Lander, Johanna Kuusisto, Dorothée Thuillier, Denis Rybin, Jacquelyn Murphy, Benjamin M. Neale, Martina Müller-Nurasyid, Eric R. Gamazon, Johanne Marie Justesen, Tin Aung, Vincent K. L. Lam, John Danesh, Donna M. Lehman, Goo Jun, Marit E. Jørgensen, Christian Herder, Edmund Chan, Pamela J. Hicks, Todd Green, Claudia Langenberg, Yoon Shin Cho, James G. Wilson, Daniel E. Hale, Rector Arya, Giriraj R. Chandak, Juan Fernandez Tajes, Jaakko Tuomilehto, Christopher P. Jenkinson, Anders Rosengren, Torsten Lauritzen, Michael Griswold, Karen L. Mohlke, Amy J. Swift, Alena Stančáková, Christian Fuchsberger, Iksoo Huh, Nikhil Tandon, João Fadista, Christa Meisinger, Gonçalo R. Abecasis, Pål R. Njølstad, Dwaipayan Bharadwaj, Richard M. Watanabe, Shaun Purcell, Veikko Salomaa, Tim D. Spector, Paul W. Franks, Adam E. Locke, Sharon P. Fowler, Panos Deloukas, Reedik Mägi, Solomon K. Musani, Kee Seng Chia, Barbara Thorand, Soo Heon Kwak, Annemari Käräjämäki, Evelin Mihailov, John Blangero, Thomas Wieland, Christian Gieger, E. Shyong Tai, Jianjun Liu, James B. Meigs, Teemu Kuulasmaa, Martin Hrabé de Angelis, Francis S. Collins, Tim M. Strom, Tibor V. Varga, Juyoung Lee, Mark I. McCarthy, Domenico Palli, Jong-Young Lee, Benjamin Glaser, Tasha E. Fingerlin, Stephen O'Rahilly, Andrew T. Hattersley, Gil Atzmon, Manuel A. Rivas, Noël P. Burtt, Ivan Brandslund, Young-Jin Kim, Dorairaj Prabhakaran, Xu Wang, Taylor J. Maxwell, Valeriya Lyssenko, Frank B. Hu, Adolfo Correa, Khalid Shakir, Kathleen A. Jablonski, Yingchang Lu, Wei-Yen Lim, Min Jin Go, William R. Scott, Hanna E. Abboud, Leena Kinnunen, Inês Barroso, Gabriela L. Surdulescu, Peng Chen, Robert Sladek, Marju Orho-Melander, Xueling Sim, Robert A. Scott, Joanna M. M. Howson, Markku Laakso, David Altshuler, Vidya S. Farook, Harald Grallert, Janina S. Ried, Vineeta Agarwala, Philippe Froguel, Nicholas J. Wareham, Tiinamaija Tuomi, Joon Yoon, Heikki A. Koistinen, Toni I. Pollin, Heiner Boeing, Marie Loh, Nicola L. Beer, Joanne E. Curran, Lars Lannfelt, Dorota Pasko, Taesung Park, David Buck, Nir Barzilai, Stephen C. J. Parker, Michael Roden, Bok-Ghee Han, David Aguilar, Timothy Fennell, Sian-Tsung Tan, Gregory P. Wilson, Momoko Horikoshi, Cramer Christensen, Craig L. Hanis, Gilean McVean, Benjamin F. Voight, Wolfgang Rathmann, Jared Maguire, Ashok Kumar, Donald W. Bowden, Michael L. Stitzel, Yongkang Kim, Christine Blancher, Jason Carey, Min-Seok Kwon, Nicholette D. Palmer, Oluf Pedersen, Niels Grarup, Peter S. Chines, Cornelia Huth, James Scott, Torben Hansen, Konstantin Strauch, Erwin P. Bottinger, Andrew D. Morris, Anette P. Gjesing, Erik Ingelsson, Colin N. A. Palmer, Claudia H. T. Tam, Stacey Gabriel, Pablo Cingolani, Beverley Balkau, Michael Boehnke, Peter M. Nilsson, Wing-Yee So, Andrew R. Wood, Lili Milani, Ravindranath Duggirala, Qibin Qi, Mark Walker, Weiping Jia, Mark Seielstad, Narisu Narisu, Tien Yin Wong, Martijn van de Bunt, Anubha Mahajan, Davis J. McCarthy, Ann-Christine Syvänen, Jennifer Kriebel, N. William Rayner, Han Chen, Jinyan Huang, Chiea Chuen Khor, Richard N. Bergman, Shah Ebrahim, Dylan Hodgkiss, Weihua Zhang, Manjinder S. Sandhu, Richard D. Pearson, Juliana C.N. Chan, Rainer Rauramaa, Ralph A. DeFronzo, Andrew Farmer, Yoshihiko Nagai, Allan Linneberg, Herman A. Taylor, Jose C. Florez, Jaspal S. Kooner, Lori L. Bonnycastle, Jeroen R. Huyghe, Leif Groop, Joseph Trakalo, Sobha Puppala, Bong-Jo Kim, Kathleen Stirrups, Kerrin S. Small, Cecilia M. Lindgren, Jennifer E. Below, Heung Man Lee, Inga Prokopenko, Liming Liang, Timothy M. Frayling, Uzma Afzal, Mark J. Daly, Yik Ying Teo, Andrew P. Morris, Phoenix Kwan, Yvonne T. van der Schouw, Cheng Hu, Katharine R. Owen, Alisa K. Manning, Christopher J. Groves, Josée Dupuis, Ryan P. Welch, Loukas Moutsianas, Joshua D. Smith, Tanya M. Teslovich, Robert C. Onofrio, Maggie C.Y. Ng, Peter Donnelly, Tõnu Esko, Matt Neville, Bo Isomaa, Anne U. Jackson, Jette Bork-Jensen, Barry I. Freedman, Yi Chen, Danish Saleheen, Lu Qi, Laura J. Scott, Jasmina Kravic, Paul Elliott, Mette Hollensted, Carmen Navarro, Selyeong Lee, Benjamin Lehne, Thomas Illig, Nancy J. Cox, Jonathan C. Levy, George B. Grant, John C. Chambers, Adam S. Butterworth, Ronald C.W. Ma, Teresa Ferreira, John R. B. Perry, Eleftheria Zeggini, Hyun Min Kang, Loic Yengo, Eric Banks, Jae-Hoon Lee, Anna L. Gloyn, Christopher Hartl, Wei Zhao, Andres Metspalu, Keng-Han Lin, Graeme I. Bell, Jason Flannick, Torben Jørgensen, Thomas W. Blackwell, Heather M. Stringham, Olle Melander, Omri Gottesman, Other departments, British Heart Foundation, Wellcome Trust, Medical Research Council (MRC), Massachusetts Institute of Technology. Department of Biology, Altshuler, David M, Internal Medicine, Perry, John [0000-0001-6483-3771], Butterworth, Adam [0000-0002-6915-9015], Howson, Joanna [0000-0001-7618-0050], Danesh, John [0000-0003-1158-6791], Johnson, Kathleen [0000-0002-6823-3252], O'Rahilly, Stephen [0000-0003-2199-4449], Langenberg, Claudia [0000-0002-5017-7344], Sandhu, Manjinder [0000-0002-2725-142X], Barroso, Ines [0000-0001-5800-4520], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, PROTEIN INTERACTION NETWORKS, SUSCEPTIBILITY LOCI, Genotyping Techniques, General Science & Technology, DNA Mutational Analysis, SEQUENCING ASSOCIATION, 030209 endocrinology & metabolism, Genome-wide association study, Biology, Research Support, N.I.H, 03 medical and health sciences, 0302 clinical medicine, Research Support, N.I.H., Extramural, SDG 3 - Good Health and Well-being, MD Multidisciplinary, Genetic predisposition, Journal Article, Humans, Exome, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Non-U.S. Gov't, Exome sequencing, Alleles, Genetic association, Genetics, RISK, Multidisciplinary, HERITABILITY, Research Support, Non-U.S. Gov't, COMPLEX TRAITS, Extramural, Genetic Variation, Genetic architecture, HUMAN-DISEASE, Europe, 030104 developmental biology, Diabetes Mellitus, Type 2, RARE VARIANTS, Sample Size, LOW-FREQUENCY, Imputation (genetics), Common disease-common variant, Genome-Wide Association Study
Abstract

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

Published
2016
Full Text
View/download PDF

12. Tobacco Smoking Results in Reduced Pancreatic Islet Mass in Humans

Author

Thomas Hubert, Valery Gmyr, Marie-Christine Vantyghem, François Pattou, Mehdi Daoudi, Rimed Ezzouaoui, Dorothée Thuillier, Mikael Chetboun, Julie Kerr-Conte, Violeta Raverdy, and Antonino Bongiovanni

Subjects
medicine.medical_specialty, geography, geography.geographical_feature_category, business.industry, Endocrinology, Diabetes and Metabolism, Islet, medicine.disease, Transplantation, Endocrinology, Insulin resistance, In vivo, Internal medicine, Epidemiology, Cohort, Internal Medicine, Medicine, Animal studies, Risk factor, business
Abstract

Epidemiological studies identify tobacco as an independent risk factor for T2D, however, the mechanisms involved remains unclear. Clinical studies incriminate an increase of insulin resistance but a direct effect on pancreatic islet mass is suggested by some animal studies. The aim of this study was to document the association between tobacco smoking and pancreatic islet mass in humans.Total islet mass (TIM) was measured in 484 pancreata from organ donors processed with standardized islet isolation technique for clinical islet transplantation. Number and size of islets were assessed following enzymatic digestion. Functional islet mass was estimated in a cohort of 845 obese subjects, by measuring c-peptide to glucose ratio at 30 min (CP/G-30) following an oral glucose load. Pancreatic islet mass proxies were correlated with donor smoking status and tobacco consumption (generalized linear model).TIM was negatively associated with smoking status in organ donors (estimate:-0.131;P=0.017), independently of other known predictors: BMI (-0.019; P=0.001), age (-0.009; P=0.0001). CP/G-30 was also reduced in vivo in subjects with smoking history. TIM (Figure A-B) and CP/G-30 (Figure C-D) were negatively correlated with the level of tobacco consumption.Pancreatic islet mass was reduced in subjects with smoking history, with a dose-response relationship with tobacco consumption. Our results support the direct implication of smoking in T2D. Disclosure M. Chetboun: None. J.A. Kerr-Conte: None. V. Gmyr: None. D. Thuillier: None. R. Ezzouaoui: None. T. Hubert: None. V. Raverdy: None. A. Bongiovanni: None. M. Daoudi: None. M. Vantyghem: Board Member; Self; Aegerion Pharmaceuticals. Other Relationship; Self; Elsevier. Research Support; Self; Ipsen Biopharmaceuticals, Inc., Novartis Pharmaceuticals Corporation. F. Pattou: None.

Published
2018
Full Text
View/download PDF

13. A nonsense loss-of-function mutation in PCSK1 contributes to dominantly inherited human obesity

Author

Philippe Froguel, F. De Graeve, Dorothée Thuillier, J.-P. Delplanque, John W.M. Creemers, Olivier Sand, Pieter Stijnen, Amélie Bonnefond, J. Philippe, G. Gyapay, and David Meyre

Subjects
Male, Genetics, Nutrition and Dietetics, Genotype, Endocrinology, Diabetes and Metabolism, media_common.quotation_subject, Molecular Sequence Data, Nonsense, Medicine (miscellaneous), Biology, White People, Pedigree, Loss of function mutation, Proprotein Convertase 1, Codon, Nonsense, Mutation (genetic algorithm), Humans, Female, Genetic Predisposition to Disease, France, Obesity, media_common, Human obesity
Abstract

Background:A significant proportion of severe familial forms of obesity remain genetically elusive. Taking advantage of our unique cohort of multi-generation obese families, we aimed to assess the contribution of rare mutations in 29 common obesity-associated genes to familial obesity, and to evaluate in these families the putative presence of nine known monogenic forms of obesity.Methods:Through next-generation sequencing, we sequenced the coding regions of 34 genes involved in polygenic and/or monogenic forms of obesity in 201 participants (75 normal weight individuals, 54 overweight individuals and 72 individuals with obesity class I, II or III), from 13 French families. In vitro functional analyses were performed to investigate the mutation PCSK1-p.Arg80* which was identified in a family.Results:A novel heterozygous nonsense variant in PCSK1 (p.Arg80*), encoding a propeptide truncated to less than two exons (out of 14), was found to co-segregate with obesity in a three-generation family. We demonstrated that this mutation inhibits PCSK1 enzyme activity and that this inhibition most likely does not involve a strong physical interaction. Furthermore, both mutations PCSK1-p.Asn180Ser and POMC-p.Phe144Leu, which had previously been reported to be associated with severe obesity, were also identified in this study, but did not co-segregate with obesity. Finally, we did not identify any rare mutations co-segregating with obesity in common obesity susceptibility genes, except for CADM2 and QPCTL, where we found two novel variants (p.Arg81His and p.Leu98Pro, respectively) in three obese individuals.Conclusions:We showed for the first time that a nonsense mutation in PCSK1 was likely to cause dominantly inherited human obesity, due to the inhibiting properties of the propeptide fragment encoded by the null allele. Furthermore, the present family sequencing design challenged the contribution of previously reported mutations to monogenic or at least severe obesity.International Journal of Obesity accepted article preview online, 3 June 2014; doi:10.1038/ijo.2014.96. ispartof: International Journal of Obesity vol:39 issue:2 pages:295-302 ispartof: location:England status: published

Published
2014
Full Text
View/download PDF

14. An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

Author

Rob M. van Dam, Francis S. Collins, Konstantin Strauch, Raimund Erbel, Rafn Benediktsson, Philippe Froguel, Kyle J. Gaulton, Peter Donnelly, Torben Hansen, Longda Jiang, Lennart C. Karssen, Rona J. Strawbridge, David J. Hunter, Leena Kinnunen, Thomas Meitinger, Michael Stumvoll, Stéphane Cauchi, Ching-Ti Liu, Olga McLeod, Oluf Pedersen, Michael Boehnke, Denis Rybin, Karl Gertow, Tõnu Esko, Bernhard O. Boehm, Sonali Pechlivanis, Bo Isomaa, Anne U. Jackson, Clement Ma, Yingchang Lu, Nicola D. Kerrison, Ruth J. F. Loos, Caroline S. Fox, Chiara Scapoli, Jian'an Luan, Martina Müller-Nurasyid, Domenico Palli, Anke Tönjes, Natalie R. van Zuydam, Neil Robertson, Barbara Thorand, Natalia Pervjakova, Andrew R. Wood, Karin Leander, Unnur Thorsteinsdottir, Sara M. Willems, Karen L. Mohlke, Robert A. Scott, Markus M. Nöthen, Ulf de Faire, Qi Sun, Eric Boerwinkle, Roman Wennauer, Douglas M. Ruderfer, Marika Kaakinen, Nigel W. Rayner, Jaakko Tuomilehto, Nisa M. Maruthur, Richard N. Bergman, Janina S. Ried, Himanshu Chheda, Josée Dupuis, Juan Tajes-Fernandes, Steve E. Humphries, Reedik Mägi, Gonçalo R. Abecasis, B F Voight, David Couper, Cornelia M. van Duijn, Samuli Ripatti, Yeji Lee, Heikki A. Koistinen, Christian Dina, Andres Metspalu, Lu Qi, James S. Pankow, Han Chen, Damiano Baldassarre, Mattias Frånberg, Gerald Steinbach, Inga Prokopenko, Matthias Blüher, Jose C. Florez, Julia Meyer, Niels Grarup, Anders Hamsten, Valeriya Lyssenko, James B. Meigs, Pritam Chanda, Leif Groop, Sarah Edkins, Anubha Mahajan, Gunnar Sigurðsson, Marilyn C. Cornelis, Christian Gieger, Nancy L. Pedersen, Andrew T. Hattersley, Paul W. Franks, Nicholas J. Wareham, Stefan Gustafsson, Katharine R. Owen, Peter Kovacs, Andrew D. Johnson, Lori L. Bonnycastle, Tiinamaija Tuomi, Aurelio Barricarte Gurrea, Tune H. Pers, Eric J.G. Sijbrands, Phoenix Kwan, Emmi Tikkanen, Elisabeth M. van Leeuwen, Stéphane Lobbens, Claudia Langenberg, E. Eury, Thomas W. Mühleisen, Lewin Eisele, Veikko Salomaa, Satu Mӓnnistö, Christian Fuchsberger, Evelin Mihailov, David Altshuler, Timothy M. Frayling, Peter Almgren, Harald Grallert, Hans A. Kestler, Beverley Balkau, Erik Ingelsson, Colin N. A. Palmer, Yvonne T. van der Schouw, Michael Roden, Thomas Sparsø, Karl-Heinz Jöckel, Johan G. Eriksson, Inês Barroso, John D. Eicher, Bengt Sennblad, Bruna Gigante, Andrew D. Morris, Panagiotis Deloukas, Man Li, Allan Linneberg, Astradur B. Hreidarsson, Lars Lannfelt, Elena Tremoli, Liming Liang, Omri Gottesman, Letizia Marullo, Peter S. Chines, Kari Stefansson, Mark I. McCarthy, Andrew P. Morris, Erwin P. Bottinger, Augustine Kong, Torben Jørgensen, Tanya M. Teslovich, Frank B. Hu, Dorothée Thuillier, Peter Kraft, Heiner Boeing, Laura J. Scott, Gudmar Thorleifsson, Lars Lind, John R. B. Perry, Heather M. Stringham, Susanne Moebus, Valgerdur Steinthorsdottir, Cecilia M. Lindgren, Guillaume Charpentier, Eleftheria Zeggini, Leena Peltonen, Loic Yengo, Norman Klopp, Teresa Ferreira, Christian Theil Have, Marit E. Jørgensen, Epidemiology, Erasmus MC other, Internal Medicine, Luan, Jian'an [0000-0003-3137-6337], Perry, John [0000-0001-6483-3771], Barroso, Ines [0000-0001-5800-4520], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Commission of the European Communities, and Wellcome Trust

Subjects
PROVIDES, 0301 basic medicine, SUSCEPTIBILITY LOCI, endocrine system diseases, Endocrinology, Diabetes and Metabolism, PATHOPHYSIOLOGY, European Continental Ancestry Group, Medizin, Genome-wide association study, Biology, Quantitative trait locus, Bioinformatics, White People, GENETIC ARCHITECTURE, NO, Endocrinology & Metabolism, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Gene Expression Regulation, Genetic Variation, Genome-Wide Association Study, Humans, Diabetes Mellitus, Internal Medicine, Journal Article, Glucose homeostasis, Humans, 1000 Genomes Project, Allele frequency, METAANALYSIS, 11 Medical and Health Sciences, RISK, Genetics, Science & Technology, RECEPTOR, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Haplotype, Genetic Variation, nutritional and metabolic diseases, Genetic architecture, 030104 developmental biology, Diabetes Mellitus, Type 2, Gene Expression Regulation, RARE VARIANTS, LOW-FREQUENCY, Life Sciences & Biomedicine, Type 2, 030217 neurology & neurosurgery, Imputation (genetics), FASTING GLUCOSE, Genome-Wide Association Study
Abstract

To characterize 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 case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel. Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects). We identified 13 novel T2D-associated loci (P < 5 × 10−8), including variants near the GLP2R, GIP, and HLA-DQA1 genes. Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci. Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants. Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes. Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action–associated loci. These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology.

Published
2017
Full Text
View/download PDF

15. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Author

P. Eline Slagboom, Massimo Mangino, David J. Porteous, Karin Leander, Nancy L. Heard-Costa, Sharon L.R. Kardia, Jennifer Bragg, Ken K. Ong, Igor Rudan, Blair H. Smith, Mark A. Sarzynski, Torben Hansen, James F. Wilson, Weihua Zhang, Zoltán Kutalik, Karl Gertow, Yii-Der Ida Chen, Daniele Cusi, Lu Qi, Nicholas G. Martin, Peter Vollenweider, Thomas W. Winkler, Graciela E. Delgado, Thorkild I. A. Sørensen, André G. Uitterlinden, J. Wouter Jukema, Rajesh Rawal, Dena G. Hernandez, Amy J. Swift, Naveed Sattar, Ruth J. F. Loos, George Dedoussis, Ani Manichaikul, Henrik Vestergaard, Jian'an Luan, Luting Xue, Charles Kooperberg, Rona J. Strawbridge, John-Olov Jansson, Jian Gong, Martina Müller-Nurasyid, L. Adrienne Cupples, Frida Renström, Stephan J. L. Bakker, Ivana Kolcic, Mathias Gorski, Tamara B. Harris, Sandosh Padmanabhan, Stephanie A. Bien, Arthur W. Musk, Cristina Menni, Steve Buyske, Anubha Mahajan, Claudia Schurmann, John Blangero, Natalia Pervjakova, Inês Barroso, Kristin L. Young, Momoko Horikoshi, Robert A. Scott, Ozren Polasek, Shafqat Ahmad, Jeremiah Perez, Stella Trompet, Claude Bouchard, Claudia Langenberg, Paul M. Ridker, Tuomas O. Kilpeläinen, Oddgeir L. Holmen, Tarunveer S. Ahluwalia, Alan F. Wright, Ulf de Faire, Cecilia M. Lindgren, Misa Graff, Jie Huang, Liesbeth Vandenput, Marcel Bruinenberg, Luigi Ferrucci, Johanne Marie Justesen, Audrey Y. Chu, Melanie Waldenberger, Karen L. Mohlke, Ching-Ti Liu, Barbara Thorand, Joseph Hung, Pim van der Harst, Colin A. McKenzie, Sailaja Vedantam, Gitta H. Lubke, Bruna Gigante, Göran Hallmans, Sara Lupoli, Anja Ludolph-Donislawski, Michael Boehnke, Treva Rice, Lori L. Bonnycastle, Daniele Braga, Mika Kähönen, Joel Eriksson, Gonçalo R. Abecasis, Joseph M. Wu, Niels Grarup, Ilja M. Nolte, Jonathan Marchini, Georg Homuth, Pamela A. F. Madden, John Beilby, Andrew D. Johnson, Nanette R. Lee, Caroline Hayward, Unhee Lim, Bamidele O. Tayo, Peter S. Chines, Lynda M. Rose, Amélie Bonnefond, Elena Tremoli, Serena Sanna, David P. Strachan, Barbara McKnight, Narisu Narisu, Anton J. M. de Craen, David R. Weir, Albertine J. Oldehinkel, Jessica Tyrrell, Beverley Balkau, Kirsti Kvaløy, Marie-Claude Vohl, Jennifer A. Smith, Rainer Rauramaa, Andrew C. Heath, Erwin P. Bottinger, Andrew Wong, Günther Silbernagel, Mattias Lorentzon, Philippe Froguel, Uzma Afzal, Tanja B. Grammer, Dabeeru C. Rao, Charlotta Pisinger, Nicola Glorioso, Najaf Amin, Andrew P. Morris, Tanguy Corre, Alan James, Julius S. Ngwa, Jennifer E. Huffman, Gudny Eiriksdottir, Maija Hassinen, Lenore J. Launer, Marit E. Jørgensen, Dorret I. Boomsma, Harry Campbell, Scott Coggeshall, Timothy M. Frayling, Konstantin Strauch, Johanna Kuusisto, David Hadley, Penny Gordon-Larsen, Xuan Deng, Dorothée Thuillier, Albert V. Smith, Jaakko Tuomilehto, Harald Grallert, Lynne J. Hocking, Dan Mellström, M. Carola Zillikens, Lars Lind, Hester M. den Ruijter, Gemma Cadby, Joanne E. Curran, Richard N. Bergman, David J. Stott, Matthias Olden, Veronique Vitart, Robert Luben, Cinzia Sarti, Gert J. de Borst, Lyle J. Palmer, Sven Bergmann, Alexander Teumer, John D. Eicher, Marcus E. Kleber, Marie Loh, Genovefa Kolovou, Iris M. Heid, Gonneke Willemsen, Marie Neergaard Harder, David J. Hunter, Stefania Bandinelli, Francis S. Collins, Hans J. Grabe, Virginia Fisher, John Whitfield, Leo-Pekka Lyytikäinen, Salome Scholtens, Tamuno Alfred, Richard S. Cooper, Jouke-Jan Hottenga, Martina Chittani, Jan A. Staessen, Bernhard K. Krämer, Markku Laakso, Min A. Jhun, Marjo-Riitta Järvelin, Saima Afaq, Rita P. S. Middelberg, Jing Hua Zhao, Toshiko Tanaka, Kent D. Taylor, Rudi G. J. Westendorp, Panagiotis Deloukas, Nina Hutri-Kähönen, Reiner Biffar, Krista Fischer, Leena Kinnunen, Diana Kuh, Jaspal S. Kooner, Caroline S. Fox, Harold Snieder, Pau Navarro, Stéphane Lobbens, Tao Huang, Vilmundur Gudnason, Jacqueline M. Vink, Terrence Forrester, Kari E. North, Annette Peters, Mika Kivimäki, David Schlessinger, Ian Ford, Kristian Hveem, Christopher A. Haiman, Lucia A. Hindorff, Oluf Pedersen, Ingrid B. Borecki, Bruce H. R. Wolffenbuttel, Nicholas J. Wareham, Cornelia M. van Duijn, Lawrence F. Bielak, Loic Le Marchand, Linda S. Adair, Tõnu Esko, Anne U. Jackson, Ying Wu, Eco J. C. de Geus, Jana V. van Vliet-Ostaptchouk, Louis Pérusse, Peter J. van der Most, Ulrike Peters, Magnus Karlsson, Anders Hamsten, Anne E. Justice, Alena Stančáková, Henning Tiemeier, Eric Boerwinkle, Catharina A. Hartman, Claes Ohlsson, Grant W. Montgomery, Elise Lim, Traci M. Bartz, Erik Ingelsson, Martina E. Zimmermann, Laura J. Rasmussen-Torvik, Terho Lehtimäki, Heikki A. Koistinen, Pirjo Komulainen, Damiano Baldassarre, Marten A. Siemelink, Niek Verweij, Gerard Pasterkamp, Markus Juonala, Wei Zhao, Andres Metspalu, Sander W. van der Laan, Tuomo Rankinen, Timo A. Lakka, Yun Ju Sung, Heather M. Stringham, Bruce M. Psaty, Niha Zubair, Stavroula Kanoni, Saskia Haitjema, Bengt Sennblad, Llilda Barata, Morris A. Swertz, Mary F. Feitosa, Tim D. Spector, Paul W. Franks, Qibin Qi, Francesco Cucca, Allan Linneberg, Reija Männikkö, Jonathan Marten, Olli T. Raitakari, Mark I. McCarthy, Joel N. Hirschhorn, Winfried März, Sarah H. Wild, Meena Kumari, Nese Direk, Patricia A. Peyser, Jessica D. Faul, John C. Chambers, Nicholas D. Hastie, Mette Hollensted, Jacek Czajkowski, Daniel I. Chasman, Matthias Nauck, Gérard Waeber, Brendan M. Buckley, Kai Savonen, Judith M. Vonk, Carsten A. Böger, Loic Yengo, Anna Eriksson, Henry Völzke, Pedro Marques-Vidal, Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Cardiovascular Centre (CVC), Clinicum, Department of Medicine, University of Helsinki, Endokrinologian yksikkö, HUS Internal Medicine and Rehabilitation, Luan, Jian'an [0000-0003-3137-6337], Marten, Jonathan [0000-0001-6916-2014], Langenberg, Claudia [0000-0002-5017-7344], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Apollo - University of Cambridge Repository, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, APH - Methodology, APH - Personalized Medicine, Epidemiology, Erasmus MC other, Medical Microbiology & Infectious Diseases, Internal Medicine, Child and Adolescent Psychiatry / Psychology, and Psychiatry

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Medicin och hälsovetenskap, Offita, Chemistry(all), Epidemiology, General Physics and Astronomy, Genome-wide association study, methods [Genome-Wide Association Study], Biochemistry, Genome-wide association studies, Medical and Health Sciences, Body Mass Index, genetics [Obesity], Genetics research, IMPUTATION, Body Fat Distribution, genetics [Genetic Predisposition to Disease], OXIDATIVE STRESS, POPULATION, Adiposity, METABOLIC SYNDROME, Genetics, education.field_of_study, Multidisciplinary, Smoking, Public Health, Global Health, Social Medicine and Epidemiology, genetics [Smoking], ASSOCIATION, 3142 Public health care science, environmental and occupational health, 3. Good health, Multidisciplinary Sciences, DEFICIENCY, Phenotype, ADDICTION, Science & Technology - Other Topics, Medical genetics, ddc:500, Waist Circumference, Reykingar, genetics [Adiposity], Adult, medicine.medical_specialty, Science, Quantitative Trait Loci, Population, genetics [Waist Circumference], Accounting, Biology, Quantitative trait locus, Physics and Astronomy(all), Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, GWAS, obesity, smoking, MD Multidisciplinary, Genetic predisposition, medicine, Journal Article, Erfðafræði, Humans, Genetic Predisposition to Disease, Obesity, education, Genetic association, Science & Technology, VITAMIN-C, genetics [Quantitative Trait Loci], Waist-Hip Ratio, business.industry, Biochemistry, Genetics and Molecular Biology(all), Epistasis, Genetic, Rannsóknir, General Chemistry, ta3121, R1, GENE, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, MICE, 030104 developmental biology, 3121 General medicine, internal medicine and other clinical medicine, business, Body mass index, Developmental Psychopathology, Imputation (genetics), Genetics and Molecular Biology(all), Genome-Wide Association Study
Abstract

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution., A full list of acknowledgments appears in the Supplementary Note 4. Co-author A.J.M.d.C. recently passed away while this work was in process. This work was performed under the auspices of the Genetic Investigation of ANthropometric Traits (GIANT) consortium. We acknowledge the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium for encouraging CHARGE studies to participate in this effort and for the contributions of CHARGE members to the analyses conducted for this research. Funding for this study was provided by the Aase and Ejner Danielsens Foundation; Academy of Finland (41071, 77299, 102318, 110413, 117787, 121584, 123885, 124243, 124282, 126925, 129378, 134309, 286284); Accare Center for Child and Adolescent Psychiatry; Action on Hearing Loss (G51); Agence Nationale de la 359 Recherche; Agency for Health Care Policy Research (HS06516); ALF/LUA research grant in Gothenburg; ALFEDIAM; ALK-Abelló A/S; Althingi; American Heart Association (13POST16500011); Amgen; Andrea and Charles Bronfman Philanthropies; Ardix Medical; Arthritis Research UK; Association Diabète Risque Vasculaire; Australian National Health and Medical Research Council (241944, 339462, 389875, 389891, 389892, 389927, 389938, 442915, 442981, 496739, 552485, 552498); Avera Institute; Bayer Diagnostics; Becton Dickinson; BHF (RG/14/5/30893); Boston Obesity Nutrition Research Center (DK46200), Bristol-Myers Squibb; British Heart Foundation (RG/10/12/28456, RG2008/08, RG2008/014, SP/04/002); Medical Research Council of Canada; Canadian Institutes for Health Research (FRCN-CCT-83028); Cancer Research UK; Cardionics; Cavadis B.V., Center for Medical Systems Biology; Center of Excellence in Genomics; CFI; CIHR; City of Kuopio; CNAMTS; Cohortes Santé TGIR; Contrat de Projets État-Région; Croatian Science Foundation (8875); Danish Agency for Science, Technology and Innovation; Danish Council for Independent Research (DFF-1333-00124, DFF-1331-00730B); County Council of Dalarna; Dalarna University; Danish Council for Strategic Research; Danish Diabetes Academy; Danish Medical Research Council; Department of Health, UK; Development Fund from the University of Tartu (SP1GVARENG); Diabetes Hilfs- und Forschungsfonds Deutschland; Diabetes UK; Diabetes Research and Wellness Foundation Fellowship; Donald W. Reynolds Foundation; Dr Robert Pfleger-Stiftung; Dutch Brain Foundation; Dutch Diabetes Research Foundation; Dutch Inter University Cardiology Institute; Dutch Kidney Foundation (E033); Dutch Ministry of Justice; the DynaHEALTH action No. 633595, Economic Structure Enhancing Fund of the Dutch Government; Else Kröner-Fresenius-Stiftung (2012_A147, P48/08//A11/08); Emil Aaltonen Foundation; Erasmus University Medical Center Rotterdam; Erasmus MC and Erasmus University Rotterdam; the Municipality of Rotterdam; Estonian Government (IUT20-60, IUT24-6); Estonian Research Roadmap through the Estonian Ministry of Education and Research (3.2.0304.11-0312); European Research Council (ERC Starting Grant and 323195:SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC); European Regional Development Fund; European Science Foundation (EU/QLRT-2001-01254); European Commission (018947, 018996, 201668, 223004, 230374, 279143, 284167, 305739, BBMRI-LPC-313010, HEALTH-2011.2.4.2-2-EU-MASCARA, HEALTH-2011-278913, HEALTH-2011-294713-EPLORE, HEALTH-F2-2008-201865-GEFOS, HEALTH-F2-2013-601456, HEALTH-F4-2007-201413, HEALTH-F4-2007-201550-HYPERGENES, HEALTH-F7-305507 HOMAGE, IMI/115006, LSHG-CT-2006-018947, LSHG-CT-2006-01947, LSHM-CT-2004-005272, LSHM-CT-2006-037697, LSHM-CT-2007-037273, QLG1-CT-2002-00896, QLG2-CT-2002-01254); Faculty of Biology and Medicine of Lausanne; Federal Ministry of Education and Research (01ZZ0103, 01ZZ0403, 01ZZ9603, 03IS2061A, 03ZIK012); Federal State of Mecklenburg-West Pomerania; Fédération Française de Cardiologie; Finnish Cultural Foundation; Finnish Diabetes Association; Finnish Foundation of Cardiovascular Research; Finnish Heart Association; Fondation Leducq; Food Standards Agency; Foundation for Strategic Research; French Ministry of Research; FRSQ; Genetic Association Information Network (GAIN) of the Foundation for the NIH; German Federal Ministry of Education and Research (BMBF, 01ER1206, 01ER1507); GlaxoSmithKline; Greek General Secretary of Research and Technology; Göteborg Medical Society; Health and Safety Executive; Healthcare NHS Trust; Healthway; Western Australia; Heart Foundation of Northern Sweden; Helmholtz Zentrum München—German Research Center for Environmental Health; Hjartavernd; Ingrid Thurings Foundation; INSERM; InterOmics (PB05 MIUR-CNR); INTERREG IV Oberrhein Program (A28); Interuniversity Cardiology Institute of the Netherlands (ICIN, 09.001); Italian Ministry of Health (ICS110.1/RF97.71); Italian Ministry of Economy and Finance (FaReBio di Qualità); Marianne and Marcus Wallenberg Foundation; the Ministry of Health, Welfare and Sports, the Netherlands; J.D.E. and Catherine T, MacArthur Foundation Research Networks on Successful Midlife Development and Socioeconomic Status and Health; Juho Vainio Foundation; Juvenile Diabetes Research Foundation International; KfH Stiftung Präventivmedizin e.V.; King's College London; Knut and Alice Wallenberg Foundation; Kuopio University Hospital; Kuopio, Tampere and Turku University Hospital Medical Funds (X51001); La Fondation de France; Leenaards Foundation; Lilly; LMUinnovativ; Lundberg Foundation; Magnus Bergvall Foundation; MDEIE; Medical Research Council UK (G0000934, G0601966, G0700931, MC_U106179471, MC_UU_12019/1); MEKOS Laboratories; Merck Santé; Ministry for Health, Welfare and Sports, The Netherlands; Ministry of Cultural Affairs of Mecklenburg-West Pomerania; Ministry of Economic Affairs, The Netherlands; Ministry of Education and Culture of Finland (627;2004-2011); Ministry of Education, Culture and Science, The Netherlands; Ministry of Science, Education and Sport in the Republic of Croatia (108-1080315-0302); MRC centre for Causal Analyses in Translational Epidemiology; MRC Human Genetics Unit; MRC-GlaxoSmithKline pilot programme (G0701863); MSD Stipend Diabetes; National Institute for Health Research; Netherlands Brain Foundation (F2013(1)-28); Netherlands CardioVascular Research Initiative (CVON2011-19); Netherlands Genomics Initiative (050-060-810); Netherlands Heart Foundation (2001 D 032, NHS2010B280); Netherlands Organization for Scientific Research (NWO) and Netherlands Organisation for Health Research and Development (ZonMW) (56-464-14192, 60-60600-97-118, 100-001-004, 261-98-710, 400-05-717, 480-04-004, 480-05-003, 481-08-013, 904-61-090, 904-61-193, 911-11-025, 985-10-002, Addiction-31160008, BBMRI–NL 184.021.007, GB-MaGW 452-04-314, GB-MaGW 452-06-004, GB-MaGW 480-01-006, GB-MaGW 480-07-001, GB-MW 940-38-011, Middelgroot-911-09-032, NBIC/BioAssist/RK 2008.024, Spinozapremie 175.010.2003.005, 175.010.2007.006); Neuroscience Campus Amsterdam; NHS Foundation Trust; National Institutes of Health (1RC2MH089951, 1Z01HG000024, 24152, 263MD9164, 263MD821336, 2R01LM010098, 32100-2, 32122, 32108, 5K99HL130580-02, AA07535, AA10248, AA11998, AA13320, AA13321, AA13326, AA14041, AA17688, AG13196, CA047988, DA12854, DK56350, DK063491, DK078150, DK091718, DK100383, DK078616, ES10126, HG004790, HHSN268200625226C, HHSN268200800007C, HHSN268201200036C, HHSN268201500001I, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, HHSN271201100004C, HL043851, HL45670, HL080467, HL085144, HL087660, HL054457, HL119443, HL118305, HL071981, HL034594, HL126024, HL130114, KL2TR001109, MH66206, MH081802, N01AG12100, N01HC55015, N01HC55016, N01C55018, N01HC55019, N01HC55020, N01HC55021, N01HC55022, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, N01HC95159, N01HC95160, N01HC95161, N01HC95162, N01HC95163, N01HC95164, N01HC95165, N01HC95166, N01HC95167, N01HC95168, N01HC95169, N01HG65403, N01WH22110, N02HL6‐4278, N01-HC-25195, P01CA33619, R01HD057194, R01HD057194, R01AG023629, R01CA63, R01D004215701A, R01DK075787, R01DK062370, R01DK072193, R01DK075787, R01DK089256, R01HL53353, R01HL59367, R01HL086694, R01HL087641, R01HL087652, R01HL103612, R01HL105756, R01HL117078, R01HL120393, R03 AG046389, R37CA54281, RC2AG036495, RC4AG039029, RPPG040710371, RR20649, TW008288, TW05596, U01AG009740, U01CA98758, U01CA136792, U01DK062418, U01HG004402, U01HG004802, U01HG007376, U01HL080295, UL1RR025005, UL1TR000040, UL1TR000124, UL1TR001079, 2T32HL007055-36, T32GM074905, HG002651, HL084729, N01-HC-25195, UM1CA182913); NIH, National Institute on Aging (Intramural funding, NO1-AG-1-2109); Northern Netherlands Collaboration of Provinces; Novartis Pharma; Novo Nordisk; Novo Nordisk Foundation; Nutricia Research Foundation (2016-T1); ONIVINS; Parnassia Bavo group; Pierre Fabre; Province of Groningen; Päivikki and Sakari Sohlberg Foundation; Påhlssons Foundation; Paavo Nurmi Foundation; Radboud Medical Center Nijmegen; Research Centre for Prevention and Health, the Capital Region of Denmark; the Research Institute for Diseases in the Elderly; Research into Ageing; Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center; Roche; Royal Society; Russian Foundation for Basic Research (NWO-RFBR 047.017.043); Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06); Sanofi-Aventis; Scottish Government Health Directorates, Chief Scientist Office (CZD/16/6); Siemens Healthcare; Social Insurance Institution of Finland (4/26/2010); Social Ministry of the Federal State of Mecklenburg-West Pomerania; Société Francophone du 358 Diabète; State of Bavaria; Stiftelsen för Gamla Tjänarinnor; Stockholm County Council (560183, 592229); Strategic Cardiovascular and Diabetes Programmes of Karolinska Institutet and Stockholm County Council; Stroke Association; Swedish Diabetes Association; Swedish Diabetes Foundation (2013-024); Swedish Foundation for Strategic Research; Swedish Heart-Lung Foundation (20120197, 20150711); Swedish Research Council (0593, 8691, 2012-1397, 2012-1727, and 2012-2215); Swedish Society for Medical Research; Swiss Institute of Bioinformatics; Swiss National Science Foundation (3100AO-116323/1, 31003A-143914, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 51RTP0_151019); Tampere Tuberculosis Foundation; Technology Foundation STW (11679); The Fonds voor Wetenschappelijk Onderzoek Vlaanderen, Ministry of the Flemish Community (G.0880.13, G.0881.13); The Great Wine Estates of the Margaret River Region of Western Australia; Timber Merchant Vilhelm Bangs Foundation; Topcon; Tore Nilsson Foundation; Torsten and Ragnar Söderberg's Foundation; United States – Israel Binational Science Foundation (Grant 2011036), Umeå University; University Hospital of Regensburg; University of Groningen; University Medical Center Groningen; University of Michigan; University of Utrecht; Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) (b2011036); Velux Foundation; VU University’s Institute for Health and Care Research; Västra Götaland Foundation; Wellcome Trust (068545, 076113, 079895, 084723, 088869, WT064890, WT086596, WT098017, WT090532, WT098051, 098381); Wissenschaftsoffensive TMO; Yrjö Jahnsson Foundation; and Åke Wiberg Foundation. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute (NHLBI); the National Institutes of Health (NIH); or the U.S. Department of Health and Human Services.

Published
2017
Full Text
View/download PDF

16. A Federated Database for Obesity Research: An IMI-SOPHIA Study

Author

Carl Delfin, Iulian Dragan, Dmitry Kuznetsov, Juan Fernandez Tajes, Femke Smit, Daniel E. Coral, Ali Farzaneh, André Haugg, Andreas Hungele, Anne Niknejad, Christopher Hall, Daan Jacobs, Diana Marek, Diane P. Fraser, Dorothee Thuillier, Fariba Ahmadizar, Florence Mehl, Francois Pattou, Frederic Burdet, Gareth Hawkes, Ilja C. W. Arts, Jordi Blanch, Johan Van Soest, José-Manuel Fernández-Real, Juergen Boehl, Katharina Fink, Marleen M. J. van Greevenbroek, Maryam Kavousi, Michiel Minten, Nicole Prinz, Niels Ipsen, Paul W. Franks, Rafael Ramos, Reinhard W. Holl, Scott Horban, Talita Duarte-Salles, Van Du T. Tran, Violeta Raverdy, Yenny Leal, Adam Lenart, Ewan Pearson, Thomas Sparsø, Giuseppe N. Giordano, Vassilios Ioannidis, Keng Soh, Timothy M. Frayling, Carel W. Le Roux, and Mark Ibberson

Subjects
federated database system, obesity, risk prediction, remote statistical analysis, bioinformatics, Science
Abstract

Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a momentum shift aiming to provide better tools for the stratification of people with obesity according to disease risk and treatment response. One of the challenges to achieving these goals is that many clinical cohorts are siloed, limiting the potential of combined data for biomarker discovery. In SOPHIA, we have addressed this challenge by setting up a federated database building on open-source DataSHIELD technology. The database currently federates 16 cohorts that are accessible via a central gateway. The database is multi-modal, including research studies, clinical trials, and routine health data, and is accessed using the R statistical programming environment where statistical and machine learning analyses can be performed at a distance without any disclosure of patient-level data. We demonstrate the use of the database by providing a proof-of-concept analysis, performing a federated linear model of BMI and systolic blood pressure, pooling all data from 16 studies virtually without any analyst seeing individual patient-level data. This analysis provided similar point estimates compared to a meta-analysis of the 16 individual studies. Our approach provides a benchmark for reproducible, safe federated analyses across multiple study types provided by multiple stakeholders.

Published
2024
Full Text
View/download PDF

17. Eating Behavior, Low-Frequency Functional Mutations in the Melanocortin-4 Receptor (MC4R) Gene, and Outcomes of Bariatric Operations: A 6-Year Prospective Study

Author

Dimitre G. Stefanov, Dorothée Thuillier, Fanny Stutzmann, Fritz F. Horber, Ramsi Keller, Philippe Froguel, Amélie Bonnefond, John G. Kral, and David Meyre

Subjects
0301 basic medicine, Research design, Adult, Male, medicine.medical_specialty, Adolescent, Endocrinology, Diabetes and Metabolism, Bariatric Surgery, 030209 endocrinology & metabolism, Body Mass Index, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Binge-eating disorder, Weight loss, Internal medicine, Diabetes mellitus, Weight Loss, Internal Medicine, medicine, Humans, Obesity, Prospective Studies, Young adult, Prospective cohort study, Aged, Advanced and Specialized Nursing, business.industry, Feeding Behavior, Sequence Analysis, DNA, Middle Aged, medicine.disease, 3. Good health, Surgery, 030104 developmental biology, Logistic Models, Gene Expression Regulation, Mutation, Receptor, Melanocortin, Type 4, Female, medicine.symptom, Complication, business, Body mass index, Binge-Eating Disorder, Follow-Up Studies
Abstract

OBJECTIVE Data on the effects of eating behavior and genetics on outcomes of gastrointestinal surgery for diabesity have been sparse, often flawed, and controversial. We aimed to assess long-term outcomes of bariatric operations in patients characterized for eating behavior and rare mutations in the melanocortin-4 receptor (MC4R) gene, which is strongly implicated in energy balance. RESEARCH DESIGN AND METHODS Between 1996 and 2005, 1,264 severely obese Swiss patients underwent current laparoscopic adjustable gastric banding, gastroduodenal bypass, or a hybrid operation. Of these, 872 patients were followed for a minimum of 6 years and were screened for MC4R mutations. Using regression models, we studied relationships between eating behavior and MC4R mutations and postoperative weight loss, complications, and reoperations after 6 years. RESULTS At baseline, rare functional MC4R mutation carriers exhibited a significantly higher prevalence of binge eating disorder (BED) or loss-of-control eating independent of age, sex, and BMI. Six years after bariatric surgery, the mutation carriers had more major complications than wild-type subjects independent of age, baseline BMI, sex, operation type, and weight loss. Furthermore, high baseline BMI, male sex, BED, and functional MC4R mutations were independent predictors of higher reoperation rates. CONCLUSIONS Sequencing of MC4R and eating typology, combined with stratification for sex and baseline BMI, might significantly improve patient allocation to banding or bypass operations for diabesity as well as reduce both complication and reoperation rates.

Published
2016

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

Author

Laura J. Scott, Neil Robertson, Anders Hamsten, Domenico Palli, Susanne Moebus, Bernhard O. Boehm, Gunnar Sigurðsson, Paul W. Franks, C. N. A. Palmer, Sonali Pechlivanis, Katharine R. Owen, Michael E. Reschen, Sarah Edkins, Jason Carey, Christopher A. O’Callaghan, Norman Klopp, Caroline S. Fox, Petter Storm, N. William Rayner, Johan G. Eriksson, Thomas Illig, Anubha Mahajan, Erik Ingelsson, Allan Linneberg, Andrew R. Wood, Oddgeir L. Holmen, Nicola L. Beer, Mark I. McCarthy, Frank B. Hu, Peter Almgren, Heiner Boeing, Peter Donnelly, Carl Platou, Veikko Salomaa, Karl-Heinz Jöcke, Wen-Hong L. Kao, Lori L. Bonnycastle, Denis Rybin, Benjamin F. Voight, Peter Kraft, Inês Barroso, Claudia Langenberg, Teresa Ferreira, Peter Kovacs, Anne Raimondo, Christian Theil Have, Ulf de Faire, Torben Hansen, Han Chen, James B. Meigs, Timothy M. Frayling, Noël P. Burtt, Gerald Steinbach, Eric Boerwinkle, Michael Stumvoll, Stefan Gustafsson, Lars Lind, Andrew D. Morris, Alena Stančáková, Panagiotis Deloukas, Kari Stefansson, Augustine Kong, Hans A. Kestler, Andrew T. Hattersley, Beverley Balkau, Lorenzo Pasquali, Yingchang Lu, Nicola D. Kerrison, George B. Grant, Eeva Korpi-Hyövälti, Steven Wiltshire, Karl Gertow, Jorge Ferrer, Barbara Thorand, Inga Prokopenko, Matthias Blüher, Yvonne T. van der Schouw, Olga McLeod, Oluf Pedersen, Leena Peltonen, Anil Chalisey, Eleftheria Zeggini, Joseph Trakalo, Eric J.G. Sijbrands, Rainer Rauramaa, Guillaume Charpentier, Satu Männistö, Cordelia Langford, Lewin Eisele, Damiano Baldassarre, Lennart C. Karssen, Rona J. Strawbridge, Ghazala Mirza, Peter S. Chines, Roman Wennauer, Sara M. Willems, Erwin P. Bottinger, Timo Saaristo, Stéphane Cauchi, Ching-Ti Liu, Martijn van de Bunt, Valgerdur Steinthorsdottir, David Altshuler, Hyun Min Kang, Michael Boehnke, Jaakko Tuomilehto, Peter M. Nilsson, Kyle J. Gaulton, Jian'an Luan, Loic Yengo, David Couper, Reedik Mägi, Harald Grallert, Simone Wahl, Juha Saltevo, Phoenix Kwan, Cecilia M. Lindgren, Peter Lichtner, Richard N. Bergman, Andrew Crenshaw, João Fadista, Michael Roden, Annette Peters, Robert A. Scott, Unnur Thorsteinsdottir, James S. Pankow, Yeji Lee, Cornelia M. van Duijn, Samuli Ripatti, Francis S. Collins, Stéphane Lobbens, Niels Grarup, Ruth J. F. Loos, Julia Meyer, Marit E. Jørgensen, Christian Herder, Inger Njølstad, John R. B. Perry, Markus M. Nöthen, Man Li, Martina Müller-Nurasyid, Valeriya Lyssenko, Pierre Fontanillas, Michael D. Linderman, Leena Kinnunen, Jana K. Rundle, Elena Tremoli, Marilyn C. Cornelis, Tanya M. Teslovich, Todd Green, Raimund Erbel, Elisabeth M. van Leeuwen, Bengt Sennblad, Olle Melander, Sirkka Keinänen-Kiukaanniemi, Markku Laakso, Eero Lindholm, Alex S. F. Doney, Anke Tönjes, Maija Hassinen, Thomas W. Mühleisen, Gonçalo R. Abecasis, Nancy L. Pedersen, Thomas Sparsø, Johanna Kuusisto, Dorothée Thuillier, Qi Sun, Ian Dunham, Himanshu Chheda, Adam E. Locke, Philippe Froguel, Nicholas J. Wareham, Bruna Gigante, Jose C. Florez, Mozhgan Dorkhan, Omri Gottesman, Liming Liang, Anna Jonsson, Tiinamaija Tuomi, Leif Groop, Steve E. Humphries, Heikki A. Koistinen, Kristian Hveem, Astradur B. Hreidarsson, Jason Flannick, Torben Jørgensen, Clement Ma, Mattias Frånberg, Ewan Birney, Andrew P. Morris, Timo A. Lakka, Rob M. van Dam, Heather M. Stringham, Christian Gieger, Elodie Eury, Konstantin Strauch, Anna L. Gloyn, Rafn Benediktsson, Andres Metspalu, David J. Hunter, Karen L. Mohlke, Gudmar Thorleifsson, Josée Dupuis, Emmi Tikkanen, Christian Fuchsberger, Evelin Mihailov, Christopher J. Groves, Soren K. Thomsen, Tõnu Esko, Anne U. Jackson, Karin Leander, Douglas M. Ruderfer, Nikolay Oskolkov, Sekar Kathiresan, Robert Sladek, Lu Qi, Jasmina Kravic, Carmen Navarro, Epidemiology, Dermatology, Internal Medicine, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Cardiology, Wellcome Trust, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), [ 1 ] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England [ 2 ] Stanford Univ, Dept Genet, Stanford, CA 94305 USA [ 3 ] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA [ 4 ] Univ Oxford, Oxford Ctr Diabet Endocrinol & Metab, Oxford, England [ 5 ] Univ Tartu, Estonian Genome Ctr, EE-50090 Tartu, Estonia [ 6 ] Univ Oxford, Nuffield Dept Med, Ctr Cellular & Mol Physiol, Oxford, England [ 7 ] Wellcome Trust Sanger Inst, Hinxton, England [ 8 ] Univ Cambridge, Sch Clin Med, Inst Metab Sci, Med Res Council MRC Epidemiol Unit, Cambridge, England [ 9 ] Univ London Imperial Coll Sci Technol & Med, Genom Common Dis, London, England [ 10 ] Broad Inst Harvard & MIT, Cambridge, MA USA [ 11 ] Univ Copenhagen, Fac Hlth & Med Sci, Novo Nordisk Fdn Ctr Basic Metab Res, Copenhagen, Denmark [ 12 ] European Genom Inst Diabet, Lille Inst Biol, Lille, France [ 13 ] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Res Unit Mol Epidemiol, Neuherberg, Germany [ 14 ] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst Epidemiol 2, Neuherberg, Germany [ 15 ] German Ctr Diabet Res, Neuherberg, Germany [ 16 ] Karolinska Inst, Dept Med Solna, Atherosclerosis Res Unit, Stockholm, Sweden [ 17 ] Sci Life Lab, Stockholm, Sweden [ 18 ] Stockholm Univ, Dept Numer Anal & Comp Sci, S-10691 Stockholm, Sweden [ 19 ] Fritz Lipmann Inst, Leibniz Inst Age Res, Jena, Germany [ 20 ] Univ Ulm, Med Syst Biol, D-89069 Ulm, Germany [ 21 ] Finnish Inst Mol Med, Helsinki, Finland [ 22 ] Univ Hosp Essen, Inst Med Informat Biometry & Epidemiol, Essen, Germany [ 23 ] Uppsala Univ, Dept Med Sci, Mol Epidemiol & Sci Life Lab, Uppsala, Sweden [ 24 ] deCODE Genet Amgen Inc, Reykjavik, Iceland [ 25 ] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA [ 26 ] Harvard Univ, Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA [ 27 ] Brigham & Womens Hosp, Dept Med, Channing Div Network Med, Boston, MA 02115 USA [ 28 ] Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USA [ 29 ] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Epidemiol, New Orleans, LA USA [ 30 ] Erasmus Univ, Med Ctr, Dept Epidemiol, Rotterdam, Netherlands [ 31 ] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA [ 32 ] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA USA [ 33 ] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA [ 34 ] Icahn Sch Med Mt Sinai, Icahn Inst Genom & Multiscale Biol, New York, NY 10029 USA [ 35 ] Icahn Sch Med Mt Sinai, Genet Obes & Related Metab Traits Program, New York, NY 10029 USA [ 36 ] Univ Penn, Perelman Sch Med, Dept Pharmacol, Philadelphia, PA 19104 USA [ 37 ] Lund Univ, Scania Univ Hosp, Dept Clin Sci Malmo, Ctr Diabet, Malmo, Sweden [ 38 ] IRCCS, Ctr Cardiol Monzino, Milan, Italy [ 39 ] Univ Milan, Dipartimento Sci Farmacol & Biomol, Milan, Italy [ 40 ] Ctr Rech Epidemiol & Sante Populat CESP, INSERM, U1018, Villejuif, France [ 41 ] Univ Paris 11, UMRS 1018, Villejuif, France [ 42 ] Univ Iceland, Fac Med, Reykjavik, Iceland [ 43 ] Landspitali Univ Hosp, Reykjavik, Iceland Organization-Enhanced Name(s) Landspitali National University Hospital [ 44 ] Univ Leipzig, Integrated Treatment & Res IFB Ctr Adipos Dis, D-04109 Leipzig, Germany [ 45 ] Univ Leipzig, Dept Med, D-04109 Leipzig, Germany [ 46 ] German Inst Human Nutr, Potsdam, Germany [ 47 ] NHGRI, US NIH, Bethesda, MD 20892 USA [ 48 ] Icahn Sch Med Mt Sinai, Charles Bronfman Inst Personalized Med, New York, NY 10029 USA [ 49 ] Corbeil Essonnes Hosp, Endocrinol Diabetol Unit, Corbeil Essonnes, France [ 50 ] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL 60611 USA [ 51 ] Univ N Carolina, Dept Biostat, Collaborat Studies Coordinating Ctr, Chapel Hill, NC USA [ 52 ] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore 117548, Singapore [ 53 ] Univ Dundee, Ninewells Hosp, Biomed Res Inst, Ctr Diabet Res, Dundee, Scotland [ 54 ] Univ Dundee, Ninewells Hosp, Biomed Res Inst, Pharmacogen Ctr, Dundee, Scotland [ 55 ] Lund Univ, Ctr Diabet, Dept Clin Sci Malmo, Novo Nordisk Scandinavia, Malmo, Sweden [ 56 ] Natl Inst Hlth & Welf, Dept Chron Dis Prevent, Helsinki, Finland [ 57 ] Univ Helsinki, Dept Gen Practice & Primary Hlth Care, Helsinki, Finland [ 58 ] Univ Helsinki, Cent Hosp, Unit Gen Practice, Helsinki, Finland [ 59 ] Folkhalsan Res Ctr, Helsinki, Finland [ 60 ] Childrens Hosp, Div Endocrinol, Boston, MA 02115 USA [ 61 ] Broad Inst Harvard & MIT, Program Med & Populat Genet, Cambridge, MA USA [ 62 ] CNRS, UMR 8199, Inst Biol, Lille, France [ 63 ] Univ Lille 2, Inst Pasteur, Lille, France [ 64 ] NHLBI, Framingham Heart Study, Framingham, MA USA [ 65 ] Brigham & Womens Hosp, Div Endocrinol & Metab, Boston, MA 02115 USA [ 66 ] Harvard Univ, Sch Med, Boston, MA USA [ 67 ] Lund Univ, Dept Clin Sci, Malmo, Sweden [ 68 ] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden [ 69 ] Karolinska Inst, Inst Environm Med, Div Cardiovasc Epidemiol, S-10401 Stockholm, Sweden [ 70 ] Kuopio Res Inst Exercise Med, Kuopio, Finland [ 71 ] Univ Dusseldorf, Leibniz Ctr Diabet Res, German Diabet Ctr, Inst Clin Diabetol, Dusseldorf, Germany [ 72 ] Partner Site Dusseldorf, German Ctr Diabet Res, Dusseldorf, Germany [ 73 ] Norwegian Univ Sci & Technol, Dept Publ Hlth & Gen Practice, Nord Trondelag Hlth Study HUNT Res Ctr, Levanger, Norway [ 74 ] UCL, Inst Cardiovasc Sci, British Heart Fdn BHF Labs, Cardiovasc Genet, London, England [ 75 ] Harvard Univ, Sch Publ Hlth, Program Genet Epidemiol & Stat Genet, Boston, MA 02115 USA [ 76 ] Steno Diabet Ctr, DK-2820 Gentofte, Denmark [ 77 ] Capital Reg Denmark, Res Ctr Prevent & Hlth, Copenhagen, Denmark [ 78 ] Univ Copenhagen, Fac Hlth & Med Sci, Copenhagen, Denmark [ 79 ] Aalborg Univ, Fac Med, Aalborg, Denmark [ 80 ] Hannover Med Sch, Hannover Unified Biobank, Hannover, Germany [ 81 ] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst Human Genet, Neuherberg, Germany [ 82 ] Rigshosp, Copenhagen Univ Hosp, DK-2100 Copenhagen, Denmark [ 83 ] Univ Copenhagen, Fac Hlth & Med Sci, Dept Clin Med, Copenhagen, Denmark [ 84 ] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst Genet Epidemiol, Neuherberg, Germany [ 85 ] Guys & St Thomas Natl Hlth Serv NHS Fdn Trust, Guys & St Thomas Hosp, Genom Core Facil, Biomed Res Ctr, London, England [ 86 ] Univ Bonn, Inst Human Genet, Bonn, Germany [ 87 ] Univ Bonn, Life & Brain Ctr, Dept Genom, Bonn, Germany [ 88 ] Res Ctr Julich, Inst Neurosci & Med INM 1, Julich, Germany [ 89 ] Univ Munich, Univ Hosp Grosshadern, Dept Med 1, Munich, Germany [ 90 ] Univ Munich, Chair Genet Epidemiol, Inst Med Informat Biometry & Epidemiol, Neuherberg, Germany [ 91 ] Partner Site Munich Heart Alliance, DZHK German Ctr Cardiovasc Res, Munich, Germany [ 92 ] Inst Murciano Invest Biosanitaria Virgen de la Ar, Murcia Reg Hlth Council, Dept Epidemiol, Murcia, Spain [ 93 ] CIBERESP, Madrid, Spain [ 94 ] Univ Murcia, Dept Hlth & Social Sci, Murcia, Spain [ 95 ] Churchill Hosp, Biomed Res Ctr, Oxford Natl Inst Hlth Res, Oxford OX3 7LJ, England [ 96 ] Canc Res & Prevent Inst ISPO, Florence, Italy [ 97 ] Nord Trondelag Hlth Trust, Levanger Hosp, Dept Internal Med, Levanger, Norway [ 98 ] Univ Hosp Dusseldorf, Dept Endocrinol & Diabetol, Dusseldorf, Germany [ 99 ] Icahn Sch Med Mt Sinai, Dept Psychiat, Div Psychiat Genom, New York, NY 10029 USA [ 100 ] Boston Univ, Data Coordinating Ctr, Boston, MA 02215 USA [ 101 ] Univ Med Ctr Utrecht, Utrecht, Netherlands [ 102 ] Iceland Heart Assoc, Kopavogur, Iceland [ 103 ] Univ Eastern Finland, Dept Med, Kuopio, Finland [ 104 ] Kuopio Univ Hosp, SF-70210 Kuopio, Finland [ 105 ] Univ Ulm, Dept Clin Chem & Cent Lab, D-89069 Ulm, Germany [ 106 ] Univ Helsinki, Dept Publ Hlth, Hjelt Inst, Helsinki, Finland [ 107 ] Helsinki Univ Hosp, Abdominal Ctr, Dept Endocrinol, Helsinki, Finland [ 108 ] Univ Helsinki, Res Program Diabet & Obes, Helsinki, Finland [ 109 ] Erasmus Univ, Med Ctr, Dept Internal Med, Rotterdam, Netherlands [ 110 ] Univ Exeter, Sch Med, Genet Complex Traits, Exeter, Devon, England [ 111 ] European Mol Biol Lab, EBI, Hinxton, England [ 112 ] Germans Trias & Pujol Univ Hosp & Res Inst, Div Endocrinol, Badalona, Spain [ 113 ] Josep Carreras Leukaemia Res Inst, Badalona, Spain [ 114 ] CIBERDEM, Barcelona, Spain [ 115 ] Univ London Imperial Coll Sci Technol & Med, Dept Med, London, England [ 116 ] Inst Invest Biomed August Pi & Sunyer, Ctr Esther Koplowitz, Barcelona, Spain [ 117 ] Icahn Sch Med Mt Sinai, Mindich Child Hlth & Dev Inst, New York, NY 10029 USA [ 118 ] Harvard Univ, Sch Med, Dept Med, Boston, MA USA [ 119 ] Massachusetts Gen Hosp, Ctr Human Genet Res, Boston, MA 02114 USA [ 120 ] Massachusetts Gen Hosp, Diabet Res Ctr, Boston, MA 02114 USA [ 121 ] Univ Texas Hlth Sci Ctr Houston, Human Genet Ctr, Houston, TX 77030 USA [ 122 ] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA [ 123 ] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN USA [ 124 ] Netherlands Consortium Hlth Ageing, Netherlands Genom Initiat, Rotterdam, Netherlands [ 125 ] Ctr Med Syst Biol, Rotterdam, Netherlands [ 126 ] Massachusetts Gen Hosp, Gen Med Div, Boston, MA 02114 USA [ 127 ] Univ Eastern Finland, Inst Biomed Physiol, Kuopio, Finland [ 128 ] Kuopio Univ Hosp, Dept Clin Physiol & Nucl Med, SF-70210 Kuopio, Finland [ 129 ] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden [ 130 ] Univ Uppsala Hosp, Dept Med Sci, Uppsala, Sweden [ 131 ] Univ Oulu, Inst Hlth Sci, Fac Med, Oulu, Finland [ 132 ] Oulu Univ Hosp, Unit Gen Practice, Oulu, Finland [ 133 ] South Ostrobothnia Cent Hosp, Seinajoki, Finland [ 134 ] Finnish Diabet Assoc, Tampere, Finland [ 135 ] Pirkanmaa Dist Hosp, Tampere, Finland [ 136 ] Cent Finland Cent Hosp, Dept Med, Jyvasklya, Finland [ 137 ] Univ Tartu, Inst Mol & Cell Biol, EE-50090 Tartu, Estonia [ 138 ] Univ Duisdurg Essen, Univ Hosp Essen, West German Heart Ctr, Clin Cardiol, Essen, Germany [ 139 ] Natl Inst Hlth & Welf, Publ Hlth Genom Unit, Helsinki, Finland [ 140 ] Univ Med Ctr Ulm, Dept Internal Med, Div Endocrinol & Diabet, Ulm, Germany [ 141 ] Univ London Imperial Coll Sci Technol & Med, Lee Kong Chian Sch Med, London SW7 2AZ, England [ 142 ] Nanyang Technol Univ, Singapore 639798, Singapore [ 143 ] Cedars Sinai Med Ctr, Diabet & Obes Res Inst, Los Angeles, CA 90048 USA [ 144 ] Univ N Carolina, Dept Genet, Chapel Hill, NC USA [ 145 ] Univ Helsinki, Cent Hosp, Dept Med, Div Endocrinol, Helsinki, Finland [ 146 ] Minerva Fdn, Helsinki, Finland [ 147 ] Hosp Univ La Paz, Inst Invest Sanitaria, Madrid, Spain [ 148 ] Danube Univ Krems, Ctr Vasc Prevent, Krems, Austria [ 149 ] King Abdulaziz Univ, Diabet Res Grp, Jeddah 21413, Saudi Arabia [ 150 ] Univ Tromso, Fac Hlth Sci, Dept Community Med, Tromso, Norway [ 151 ] Queen Mary Univ London, Barts & London Sch Med & Dent, William Harvey Res Inst, London, England [ 152 ] Univ Oxford, Dept Stat, Oxford OX1 3TG, England [ 153 ] Univ Exeter, Sch Med, Inst Biomed & Clin Sci, Exeter, Devon, England [ 154 ] Ctr Hosp Univ Montreal, Ctr Rech, Montreal Diabet Res Ctr, Montreal, PQ, Canada [ 155 ] McGill Univ, Montreal, PQ, Canada [ 156 ] Genome Quebec Innovat Ctr, Montreal, PQ, Canada [ 157 ] Univ Southern Denmark, Fac Hlth Sci, Odense, Denmark [ 158 ] Univ Edinburgh, Usher Inst Populat Hlth Sci & Informat, Edinburgh, Midlothian, Scotland [ 159 ] Massachusetts Gen Hosp, Cardiovasc Res Ctr, Boston, MA 02114 USA [ 160 ] Univ Cambridge, Metab Res Labs, Wellcome Trust MRC Inst Metab Sci, Cambridge, England [ 161 ] Cambridge Biomed Res Ctr, Natl Inst Hlth Res, Cambridge, England [ 162 ] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA [ 163 ] Harvard Univ, Sch Med, Dept Mol Biol, Boston, MA USA [ 164 ] Univ Liverpool, Dept Biostat, Liverpool L69 3BX, Merseyside, England [ 165 ] Univ Liverpool, Dept Mol & Clin Pharmacol, Liverpool L69 3BX, Merseyside, England, Luan, Jian'an [0000-0003-3137-6337], Perry, John [0000-0001-6483-3771], Barroso, Ines [0000-0001-5800-4520], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository

Subjects
endocrine system diseases, Medizin, Genome-wide association study, Glucose homeostasis, WIDE ASSOCIATION, Association mapping, Non-U.S. Gov't, Genome-Wide Association Study, Regulation of gene expression, Genetics, Genetics & Heredity, LARGE-SCALE ASSOCIATION, Research Support, Non-U.S. Gov't, COMMON VARIANTS, Chromosome Mapping, 11 Medical And Health Sciences, Genomics, 3. Good health, TRANSCRIPTION FACTORS, Liver, Hepatocyte Nuclear Factor 3-beta, Medical Genetics, Life Sciences & Biomedicine, Chromatin Immunoprecipitation, endocrine system, European Continental Ancestry Group/genetics, Biology, GENOTYPE IMPUTATION, Research Support, INSULIN-SECRETION, Polymorphism, Single Nucleotide, Article, N.I.H, Sykursýki, Islets of Langerhans, SDG 3 - Good Health and Well-being, Research Support, N.I.H., Extramural, HUMAN PANCREATIC-ISLETS, GLYCEMIC TRAITS, Journal Article, SNP, Humans, Genetic Predisposition to Disease, Comparative Study, Enhancer, Medicinsk genetik, Science & Technology, Binding Sites, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Receptor, Melatonin, MT2, Extramural, Molecular Sequence Annotation, Arfgengi, 06 Biological Sciences, Genetic Predisposition to Disease/genetics, BETA-CELL, Diabetes Mellitus, Type 2/genetics, Diabetes Mellitus, Type 2, Gene Expression Regulation, Genetic Loci, Case-Control Studies, Gene-Environment Interaction, GLUCOSE-HOMEOSTASIS, Chromatin immunoprecipitation, Developmental Biology
Abstract

To access publisher's full text version of this article click on the hyperlink at the bottom of the page 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. cademy of Finland 77299 102318 10493 118065 123885 124243 129293 129680 136895 139635 211119 213506 251217 263836 Agence National de la Recherche Association de Langue Francaise pour l'Etude du Diabete et des Maladies Metaboliques Association Diabeete Risque Vasculaire Association Francaise des Diabetiques Association of Danish Pharmacies Augustinus Foundation Becket Foundation British Diabetes Association (BDA) Research British Heart Foundation Central Norway Health Authority Central Finland Hospital District Center for Inherited Disease Research (CIDR) City of Kuopio City of Leutkirch Copenhagen County Danish Centre for Evaluation and Health Technology Assessment Danish Council for Independent Research Danish Heart Foundation Danish Research Councils Deutsche Forschungsgemeinschaft ER 155/6-2 Diabetes Research Foundation Diabetes UK Doris Duke Charitable Foundation Erasmus Medical Center Erasmus University Estonian government SF0180142s08 European Commission ENGAGE HEALTH-F4-2007-201413 FP7-201413 FP7-245536 EXGENESIS LSHM-CT-2004-005272 FP6 LSHM_CT_2006_037197 LSHM-CT-2007-037273 C-Public Health 2004310 European Regional Development Fund Federal Ministry of Education and Research, Germany FKZ 01GI1128 FKZ 01EO1001 Federal Ministry of Health, Germany Finnish Diabetes Association Finnish Diabetes Research Foundation Finnish Foundation for Cardiovascular Research Finnish Medical Society Folkhalsan Research Foundation Foundation for Life and Health in Finland Foundation for Old Servants Fredrick och Ingrid Thuring Foundation French region of Nord-Pas-de-Calais (Contrat de Projets Etat-Region) German Center for Diabetes Research German Research Council GRK1041 German National Genome Research Network Groupe d'Etude des Maladies Metaboliques et Systemiques Health Care Centers in Vasa, Narpes and Korsholm, Finland Health Foundation Heinz Nixdorf Foundation Helmholtz Zentrum Munchen Helsinki University Central Hospital Research Foundation Hospital District of Southwest Finland Ib Henriksens Foundation IngaBritt and Arne Lundberg's Research Foundation 359 Karolinska Institutet Knut and Alice Wallenberg Foundation KAW 2009.0243 Kuopio University Hospital Lundbeck Foundation Magnus Bergvall Foundation Medical Faculty of University Duisburg-Essen Medical Research Council, UK G0000649 G0601261 Ministry for Health, Welfare and Sports, the Netherlands Ministry of Education and Culture, Finland 722 627 Ministry of Education, Culture and Science, the Netherlands Ministry of Health and Prevention, Denmark Ministry of Social Affairs and Health, Finland Ministry of Innovation, Science, Research and Technology of North Rhine-Westphalia, Germany Munich Center of Health Sciences Municipal Health Care Center and Hospital in Jakobstad, Finland municipality of Rotterdam, the Netherlands Narpes Health Care Foundation National Health Screening Service of Norway National Heart, Lung, and Blood Institute, USA HHSN268201100005C HHSN268201100006C HHSN268201100007C HHSN268201100008C HHSN268201100009C HHSN268201100010C HHSN268201100011C HHSN268201100012C N01HC25195 N02HL64278 R01HL087641 R01HL59367 R01HL086694 National Human Genome Research Institute, USA U01HG004402 N01HG65403 National Institute for Diabetes and Digestive and Kidney Diseases, USA R01DK078616 U01DK085526 K24DK080140 R01DK073490 National Institute for Health and Welfare, Finland National Institutes of Health, USA HHSN268200625226C UL1RR025005 R01DK062370 R01DK072193 1Z01HG000024 AG028555 AG08724 AG04563 AG10175 AG08861 U01HG004399 DK58845 CA055075 DK085545 DK098032 Netherlands Genomics Initiative Netherlands Organisation for Health Research and Development Netherlands Organisation of Scientific Research NOW Investments 175.010.2005.011 911-03-012 050-060-810 Nord-Trondelag County Council Nordic Center of Excellence in Disease Genetics Norwegian Institute of Public Health Norwegian Research Council Novo Nordisk Foundation Ollquist Foundation Oxford National Institute for Health Research (NIHR) Biomedical Research Centre Paavo Nurmi Foundation Paivikki and Sakari Sohlberg Foundation Perklen Foundation Pirkanmaa Hospital District, Finland Programme Hospitalier de Recherche Clinique Programme National de Recherche sur la Diabete Research Institute for Diseases in the Elderly 014-93-015 Robert Dawson Evans Endowment, Department of Medicine, Boston University School of Medicine and Boston Medical Center Royal Swedish Academy of Sciences Sarstedt, Germany Signe and Ane Gyllenberg Foundation Sigrid Juselius Foundation Slottery Machine Association, Finland Social Insurance Institution of Finland South OstroBothnia Hospital District state of Baden-Wurttemberg, Germany Stockholm County Council 560183 Swedish Cultural Foundation, Finland Swedish Diabetes Foundation Swedish e-science Research Center Swedish Foundation for Strategic Research Swedish Heart-Lung Foundation Swedish Research Council SFO EXODIAB 2009-1039 521-2010-3490 521-2007-4037 521-2008-2974 ANDIS 825-2010-5983 LUDC 349-2008-6589 8691 Swedish Society of Medicine Tore Nilsson Foundation Torsten and Ragnar Soderbergs Stiftelser MT33/09 University Hospital Essen University of Tromso University College London NIHR Biomedical Research Centre UK NIHR Cambridge Biomedical Research Centre Uppsala University Uppsala University Hospital Vaasa Hospital District Velux Foundation Wellcome Trust GR072960 076113 083948 090367 090532 083270 086596 098017 095101 098051 098381

Published
2015
Full Text
View/download PDF

20. Association between large detectable clonal mosaicism and type 2 diabetes with vascular complications

Author

E. Eury, Amélie Bonnefond, Olivier Lantieri, Guillaume Charpentier, Philippe Froguel, Stéphane Cauchi, Beverley Balkau, Dorothée Thuillier, Michel Marre, Boris Skrobek, Stéphane Lobbens, Elio Riboli, and Loic Yengo

Subjects
Male, medicine.medical_specialty, endocrine system diseases, education, Disease, Type 2 diabetes, Biology, Gastroenterology, Body Mass Index, Internal medicine, Diabetes mellitus, Genetics, medicine, Odds Ratio, Humans, Prospective Studies, Prospective cohort study, Genetic Association Studies, Aged, Chromosome Aberrations, Mosaicism, Case-control study, nutritional and metabolic diseases, Cancer, Chromosome Mapping, Odds ratio, Middle Aged, medicine.disease, Diabetes Mellitus, Type 2, Case-Control Studies, Female, Body mass index, Diabetic Angiopathies
Abstract

Large chromosomal clonal mosaic events (CMEs) have been suggested to be linked to aging and to predict cancer. Type 2 diabetes (T2D) has been conceptualized as an accelerated-aging disease and is associated with higher prevalence of cancers. Here we aimed to assess the association between T2D and CME occurrence in blood. We evaluated the presence of CMEs in 7,659 individuals (including 2,208 with T2D) using DNA arrays. A significant association between CME occurrence and T2D was found (odds ratio (OR) = 5.3; P = 5.1 × 10(-5)) and was stronger when we only considered non-obese individuals with T2D (OR = 5.6; P = 4.9 × 10(-5)). Notably, CME carriers with T2D had higher prevalence of vascular complications than non-carriers with T2D (71.4% versus 37.1%, respectively; P = 7.7 × 10(-4)). In CME carriers, we found an increase in the percentage of abnormal cells over 6 years (P = 8.60 × 10(-3)). In conclusion, given the increased risk of cancer in CME carriers, our results may have profound clinical implications in patients with severe T2D.

Published
2013

Catalog

Books, media, physical & digital resources
See catalog results