62 results on '"Jana V. Van Vliet Ostaptchouk"'
Search Results
2. A genome-wide association study of 24-hour urinary excretion of endocrine disrupting chemicals
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Xueling Lu, Thomas P. van der Meer, Zoha Kamali, Martijn van Faassen, Ido P. Kema, André P. van Beek, Xijin Xu, Xia Huo, Alireza Ani, Ilja M. Nolte, Bruce H.R. Wolffenbuttel, Jana V. van Vliet-Ostaptchouk, and Harold Snieder
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Endocrine disruptor ,Metabolism ,Excretion ,Solute carrier ,cytochrome P450 ,Genome-wide association study ,Environmental sciences ,GE1-350 - Abstract
Ubiquitous exposure to environmental endocrine disrupting chemicals (EDCs) instigates a major public health problem, but much remains unknown on the inter-individual differences in metabolism and excretion of EDCs. To examine this we performed a two-stage genome-wide association study (GWAS) for 24-hour urinary excretions of four parabens, two bisphenols, and nine phthalate metabolites. Results showed five genome-wide significant (p-value
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- 2024
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3. Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus
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Adrienne Tin, Pascal Schlosser, Pamela R. Matias-Garcia, Chris H. L. Thio, Roby Joehanes, Hongbo Liu, Zhi Yu, Antoine Weihs, Anselm Hoppmann, Franziska Grundner-Culemann, Josine L. Min, Victoria L. Halperin Kuhns, Adebowale A. Adeyemo, Charles Agyemang, Johan Ärnlöv, Nasir A. Aziz, Andrea Baccarelli, Murielle Bochud, Hermann Brenner, Jan Bressler, Monique M. B. Breteler, Cristian Carmeli, Layal Chaker, Josef Coresh, Tanguy Corre, Adolfo Correa, Simon R. Cox, Graciela E. Delgado, Kai-Uwe Eckardt, Arif B. Ekici, Karlhans Endlich, James S. Floyd, Eliza Fraszczyk, Xu Gao, Xīn Gào, Allan C. Gelber, Mohsen Ghanbari, Sahar Ghasemi, Christian Gieger, Philip Greenland, Megan L. Grove, Sarah E. Harris, Gibran Hemani, Peter Henneman, Christian Herder, Steve Horvath, Lifang Hou, Mikko A. Hurme, Shih-Jen Hwang, Sharon L. R. Kardia, Silva Kasela, Marcus E. Kleber, Wolfgang Koenig, Jaspal S. Kooner, Florian Kronenberg, Brigitte Kühnel, Christine Ladd-Acosta, Terho Lehtimäki, Lars Lind, Dan Liu, Donald M. Lloyd-Jones, Stefan Lorkowski, Ake T. Lu, Riccardo E. Marioni, Winfried März, Daniel L. McCartney, Karlijn A. C. Meeks, Lili Milani, Pashupati P. Mishra, Matthias Nauck, Christoph Nowak, Annette Peters, Holger Prokisch, Bruce M. Psaty, Olli T. Raitakari, Scott M. Ratliff, Alex P. Reiner, Ben Schöttker, Joel Schwartz, Sanaz Sedaghat, Jennifer A. Smith, Nona Sotoodehnia, Hannah R. Stocker, Silvia Stringhini, Johan Sundström, Brenton R. Swenson, Joyce B. J. van Meurs, Jana V. van Vliet-Ostaptchouk, Andrea Venema, Uwe Völker, Juliane Winkelmann, Bruce H. R. Wolffenbuttel, Wei Zhao, Yinan Zheng, The Estonian Biobank Research Team, The Genetics of DNA Methylation Consortium, Marie Loh, Harold Snieder, Melanie Waldenberger, Daniel Levy, Shreeram Akilesh, Owen M. Woodward, Katalin Susztak, Alexander Teumer, and Anna Köttgen
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Science - Abstract
Serum urate concentration can be studied in large datasets to find genetic and epigenetic loci that may be related to cardiometabolic traits. Here the authors identify and replicate 100 urate-associated CpGs, which provide insights into urate GWAS loci and shared CpGs of urate and cardiometabolic traits.
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- 2021
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4. Meta-analyses identify DNA methylation associated with kidney function and damage
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Pascal Schlosser, Adrienne Tin, Pamela R. Matias-Garcia, Chris H. L. Thio, Roby Joehanes, Hongbo Liu, Antoine Weihs, Zhi Yu, Anselm Hoppmann, Franziska Grundner-Culemann, Josine L. Min, Adebowale A. Adeyemo, Charles Agyemang, Johan Ärnlöv, Nasir A. Aziz, Andrea Baccarelli, Murielle Bochud, Hermann Brenner, Monique M. B. Breteler, Cristian Carmeli, Layal Chaker, John C. Chambers, Shelley A. Cole, Josef Coresh, Tanguy Corre, Adolfo Correa, Simon R. Cox, Niek de Klein, Graciela E. Delgado, Arce Domingo-Relloso, Kai-Uwe Eckardt, Arif B. Ekici, Karlhans Endlich, Kathryn L. Evans, James S. Floyd, Myriam Fornage, Lude Franke, Eliza Fraszczyk, Xu Gao, Xīn Gào, Mohsen Ghanbari, Sahar Ghasemi, Christian Gieger, Philip Greenland, Megan L. Grove, Sarah E. Harris, Gibran Hemani, Peter Henneman, Christian Herder, Steve Horvath, Lifang Hou, Mikko A. Hurme, Shih-Jen Hwang, Marjo-Riitta Jarvelin, Sharon L. R. Kardia, Silva Kasela, Marcus E. Kleber, Wolfgang Koenig, Jaspal S. Kooner, Holly Kramer, Florian Kronenberg, Brigitte Kühnel, Terho Lehtimäki, Lars Lind, Dan Liu, Yongmei Liu, Donald M. Lloyd-Jones, Kurt Lohman, Stefan Lorkowski, Ake T. Lu, Riccardo E. Marioni, Winfried März, Daniel L. McCartney, Karlijn A. C. Meeks, Lili Milani, Pashupati P. Mishra, Matthias Nauck, Ana Navas-Acien, Christoph Nowak, Annette Peters, Holger Prokisch, Bruce M. Psaty, Olli T. Raitakari, Scott M. Ratliff, Alex P. Reiner, Sylvia E. Rosas, Ben Schöttker, Joel Schwartz, Sanaz Sedaghat, Jennifer A. Smith, Nona Sotoodehnia, Hannah R. Stocker, Silvia Stringhini, Johan Sundström, Brenton R. Swenson, Maria Tellez-Plaza, Joyce B. J. van Meurs, Jana V. van Vliet-Ostaptchouk, Andrea Venema, Niek Verweij, Rosie M. Walker, Matthias Wielscher, Juliane Winkelmann, Bruce H. R. Wolffenbuttel, Wei Zhao, Yinan Zheng, Estonian Biobank Research Team, Genetics of DNA Methylation Consortium, Marie Loh, Harold Snieder, Daniel Levy, Melanie Waldenberger, Katalin Susztak, Anna Köttgen, and Alexander Teumer
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Science - Abstract
Many genetic loci have been identified to be associated with kidney disease, but the molecular mechanisms are not well understood. Here, the authors perform epigenome-wide association studies on kidney function measures to identify epigenetic marks and pathways involved in kidney function.
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- 2021
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5. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity
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Tuomas O. Kilpeläinen, Amy R. Bentley, Raymond Noordam, Yun Ju Sung, Karen Schwander, Thomas W. Winkler, Hermina Jakupović, Daniel I. Chasman, Alisa Manning, Ioanna Ntalla, Hugues Aschard, Michael R. Brown, Lisa de las Fuentes, Nora Franceschini, Xiuqing Guo, Dina Vojinovic, Stella Aslibekyan, Mary F. Feitosa, Minjung Kho, Solomon K. Musani, Melissa Richard, Heming Wang, Zhe Wang, Traci M. Bartz, Lawrence F. Bielak, Archie Campbell, Rajkumar Dorajoo, Virginia Fisher, Fernando P. Hartwig, Andrea R. V. R. Horimoto, Changwei Li, Kurt K. Lohman, Jonathan Marten, Xueling Sim, Albert V. Smith, Salman M. Tajuddin, Maris Alver, Marzyeh Amini, Mathilde Boissel, Jin Fang Chai, Xu Chen, Jasmin Divers, Evangelos Evangelou, Chuan Gao, Mariaelisa Graff, Sarah E. Harris, Meian He, Fang-Chi Hsu, Anne U. Jackson, Jing Hua Zhao, Aldi T. Kraja, Brigitte Kühnel, Federica Laguzzi, Leo-Pekka Lyytikäinen, Ilja M. Nolte, Rainer Rauramaa, Muhammad Riaz, Antonietta Robino, Rico Rueedi, Heather M. Stringham, Fumihiko Takeuchi, Peter J. van der Most, Tibor V. Varga, Niek Verweij, Erin B. Ware, Wanqing Wen, Xiaoyin Li, Lisa R. Yanek, Najaf Amin, Donna K. Arnett, Eric Boerwinkle, Marco Brumat, Brian Cade, Mickaël Canouil, Yii-Der Ida Chen, Maria Pina Concas, John Connell, Renée de Mutsert, H. Janaka de Silva, Paul S. de Vries, Ayşe Demirkan, Jingzhong Ding, Charles B. Eaton, Jessica D. Faul, Yechiel Friedlander, Kelley P. Gabriel, Mohsen Ghanbari, Franco Giulianini, Chi Charles Gu, Dongfeng Gu, Tamara B. Harris, Jiang He, Sami Heikkinen, Chew-Kiat Heng, Steven C. Hunt, M. Arfan Ikram, Jost B. Jonas, Woon-Puay Koh, Pirjo Komulainen, Jose E. Krieger, Stephen B. Kritchevsky, Zoltán Kutalik, Johanna Kuusisto, Carl D. Langefeld, Claudia Langenberg, Lenore J. Launer, Karin Leander, Rozenn N. Lemaitre, Cora E. Lewis, Jingjing Liang, Lifelines Cohort Study, Jianjun Liu, Reedik Mägi, Ani Manichaikul, Thomas Meitinger, Andres Metspalu, Yuri Milaneschi, Karen L. Mohlke, Thomas H. Mosley, Alison D. Murray, Mike A. Nalls, Ei-Ei Khaing Nang, Christopher P. Nelson, Sotoodehnia Nona, Jill M. Norris, Chiamaka Vivian Nwuba, Jeff O’Connell, Nicholette D. Palmer, George J. Papanicolau, Raha Pazoki, Nancy L. Pedersen, Annette Peters, Patricia A. Peyser, Ozren Polasek, David J. Porteous, Alaitz Poveda, Olli T. Raitakari, Stephen S. Rich, Neil Risch, Jennifer G. Robinson, Lynda M. Rose, Igor Rudan, Pamela J. Schreiner, Robert A. Scott, Stephen S. Sidney, Mario Sims, Jennifer A. Smith, Harold Snieder, Tamar Sofer, John M. Starr, Barbara Sternfeld, Konstantin Strauch, Hua Tang, Kent D. Taylor, Michael Y. Tsai, Jaakko Tuomilehto, André G. Uitterlinden, M. Yldau van der Ende, Diana van Heemst, Trudy Voortman, Melanie Waldenberger, Patrik Wennberg, Gregory Wilson, Yong-Bing Xiang, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, Alan B. Zonderman, Diane M. Becker, Michael Boehnke, Donald W. Bowden, Ulf de Faire, Ian J. Deary, Paul Elliott, Tõnu Esko, Barry I. Freedman, Philippe Froguel, Paolo Gasparini, Christian Gieger, Norihiro Kato, Markku Laakso, Timo A. Lakka, Terho Lehtimäki, Patrik K. E. Magnusson, Albertine J. Oldehinkel, Brenda W. J. H. Penninx, Nilesh J. Samani, Xiao-Ou Shu, Pim van der Harst, Jana V. Van Vliet-Ostaptchouk, Peter Vollenweider, Lynne E. Wagenknecht, Ya X. Wang, Nicholas J. Wareham, David R. Weir, Tangchun Wu, Wei Zheng, Xiaofeng Zhu, Michele K. Evans, Paul W. Franks, Vilmundur Gudnason, Caroline Hayward, Bernardo L. Horta, Tanika N. Kelly, Yongmei Liu, Kari E. North, Alexandre C. Pereira, Paul M. Ridker, E. Shyong Tai, Rob M. van Dam, Ervin R. Fox, Sharon L. R. Kardia, Ching-Ti Liu, Dennis O. Mook-Kanamori, Michael A. Province, Susan Redline, Cornelia M. van Duijn, Jerome I. Rotter, Charles B. Kooperberg, W. James Gauderman, Bruce M. Psaty, Kenneth Rice, Patricia B. Munroe, Myriam Fornage, L. Adrienne Cupples, Charles N. Rotimi, Alanna C. Morrison, Dabeeru C. Rao, and Ruth J. F. Loos
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Science - Abstract
GWAS have identified more than 500 genetic loci associated with blood lipid levels. Here, the authors report a genome-wide analysis of interactions between genetic markers and physical activity, and find that physical activity modifies the effects of four genetic loci on HDL or LDL cholesterol.
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- 2019
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6. Urinary concentrations of bisphenols and parabens and their association with attention, hyperactivity and impulsivity at adolescence
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Anne B. Foreman, Jana V. van Vliet-Ostaptchouk, Martijn van Faassen, Ido P. Kema, Bruce HR Wolffenbuttel, Pieter J.J. Sauer, Arend F. Bos, and Sietske A. Berghuis
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General Neuroscience ,Toxicology - Published
- 2023
7. An epigenome-wide association study identifies multiple DNA methylation markers of exposure to endocrine disruptors
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Xueling Lu, Eliza Fraszczyk, Thomas P. van der Meer, Martijn van Faassen, Vincent W. Bloks, Ido P. Kema, André P. van Beek, Shuang Li, Lude Franke, Harm-Jan Westra, Xijin Xu, Xia Huo, Harold Snieder, Bruce H.R. Wolffenbuttel, and Jana V. van Vliet-Ostaptchouk
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Endocrine disruptor ,Metabolic trait ,Human exposure ,Epigenetics ,DNA methylation ,Epigenome-wide association study ,Environmental sciences ,GE1-350 - Abstract
Background: Exposure to environmental endocrine disrupting chemicals (EDCs) may play an important role in the epidemic of metabolic diseases. Epigenetic alterations may functionally link EDCs with gene expression and metabolic traits. Objectives: We aimed to evaluate metabolic-related effects of the exposure to endocrine disruptors including five parabens, three bisphenols, and 13 metabolites of nine phthalates as measured in 24-hour urine on epigenome-wide DNA methylation. Methods: A blood-based epigenome-wide association study was performed in 622 participants from the Lifelines DEEP cohort using Illumina Infinium HumanMethylation450 methylation data and EDC excretions in 24-hour urine. Out of the 21 EDCs, 13 compounds were detected in >75% of the samples and, together with bisphenol F, were included in these analyses. Furthermore, we explored the putative function of identified methylation markers and their correlations with metabolic traits. Results: We found 20 differentially methylated cytosine-phosphate-guanines (CpGs) associated with 10 EDCs at suggestive p-value
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- 2020
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8. Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study
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Sandra N. Slagter, Eva Corpeleijn, Melanie M. van der Klauw, Anna Sijtsma, Linda G. Swart-Busscher, Corine W. M. Perenboom, Jeanne H. M. de Vries, Edith J. M. Feskens, Bruce H. R. Wolffenbuttel, Daan Kromhout, and Jana V. van Vliet-Ostaptchouk
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Obesity ,Metabolic health ,Dietary patterns ,Physical activity ,Lifestyle ,Nutrition. Foods and food supply ,TX341-641 ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background Diversity in the reported prevalence of metabolically healthy obesity (MHO), suggests that modifiable factors may be at play. We evaluated differences in dietary patterns and physical activity between MHO and metabolically unhealthy obesity (MUO). Methods Cross-sectional data of 9270 obese individuals (30–69 years) of the Lifelines Cohort Study was used. MHO was defined as obesity and no metabolic syndrome risk factors and no cardiovascular disease history. MUO was defined as obesity and ≥2 metabolic syndrome risk factors. Sex-specific associations of dietary patterns (identified by principal component analysis) and physical activity with MHO were assessed by multivariable logistic regression (reference group: MUO). Analyses were adjusted for multiple covariates. Results Among 3442 men and 5828 women, 10.2% and 24.4% had MHO and 56.9% and 35.3% MUO, respectively. We generated four obesity-specific dietary patterns. Two were related to MHO, and in women only. In the highest quartile (Q) of ‘bread, potatoes and sweet snacks’ pattern, odds ratio (OR) (95% CI) for MHO was 0.52 (0.39–0.70). For the healthier pattern ‘fruit, vegetables and fish’, an OR of 1.36 (1.09–1.71) in Q3 and 1.55 (1.21–1.97) in Q4 was found for MHO. For physical activity, there was a positive association between moderate physical activity and vigorous physical activity in the highest tertile and MHO in women and men, respectively (OR 1.19 (1.01–1.41) and OR 2.02 (1.50–2.71)). Conclusion The healthier diet -characterized by ‘fruit, vegetables and fish’- and moderate physical activity in women, and vigorous physical activity in men may be related to MHO. The (refined) carbohydrate-rich ‘bread, potatoes and sweet snacks’ dietary pattern was found to counteract MHO in women.
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- 2018
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9. Thyroid function and metabolic syndrome in the population-based LifeLines cohort study
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Bruce H. R. Wolffenbuttel, Hanneke J. C. M. Wouters, Sandra N. Slagter, Robert P. van Waateringe, Anneke C. Muller Kobold, Jana V. van Vliet-Ostaptchouk, Thera P. Links, and Melanie M. van der Klauw
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Metabolic syndrome ,Thyroid ,Triiodothyronine ,Epidemiology ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Abstract Background The metabolic syndrome (MetS) is a combination of unfavourable health factors which includes abdominal obesity, dyslipidaemia, elevated blood pressure and impaired fasting glucose. Earlier studies have reported a relationship between thyroid function and some MetS components or suggested that serum free thyroxine (FT4) or free triiodothyronine (FT3) levels within the normal range were independently associated with insulin resistance. We assessed how thyroid function relates to MetS prevalence in a large population-based study. Methods Data of 26,719 people of western European descent, aged 18–80 years from the Dutch LifeLines Cohort study, all with normal thyroid stimulating hormone (TSH), FT4 and FT3 levels (electrochemiluminescent immunoassay, Roche Modular E170 Analyzer), were available. MetS was defined with the revised National Cholesterol Education Programs Adults Treatment Panel III (NCEP ATP III) criteria. We calculated prevalence of all MetS components according to TSH, FT4 and FT3 quartiles. Results At similar TSH levels and age (mean 45 yrs), men had significantly higher levels of FT4, FT3, blood pressure (BP), heart rate, total and LDL-cholesterol, triglycerides (TG), and creatinine, but lower HDL-cholesterol compared to women (all p
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- 2017
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10. Sex, BMI and age differences in metabolic syndrome: the Dutch Lifelines Cohort Study
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Sandra N Slagter, Robert P van Waateringe, André P van Beek, Melanie M van der Klauw, Bruce H R Wolffenbuttel, and Jana V van Vliet-Ostaptchouk
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metabolic syndrome ,blood pressure ,age adjusted ,population based ,sex ,BMI ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Introduction: To evaluate the prevalence of metabolic syndrome (MetS) and its individual components within sex-, body mass index (BMI)- and age combined clusters. In addition, we used the age-adjusted blood pressure thresholds to demonstrate the effect on the prevalence of MetS and elevated blood pressure. Subjects and methods: Cross-sectional data from 74,531 Western European participants, aged 18–79 years, were used from the Dutch Lifelines Cohort Study. MetS was defined according to the revised NCEP-ATPIII. Age-adjusted blood pressure thresholds were defined as recommended by the eight reports of the Joint National Committee (≥140/90 mmHg for those aged
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- 2017
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11. Skin autofluorescence, a non-invasive biomarker for advanced glycation end products, is associated with the metabolic syndrome and its individual components
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Robert P. van Waateringe, Sandra N. Slagter, Andre P. van Beek, Melanie M. van der Klauw, Jana V. van Vliet-Ostaptchouk, Reindert Graaff, Andrew D. Paterson, Helen L. Lutgers, and Bruce H. R. Wolffenbuttel
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Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background The metabolic syndrome (MetS) comprises several cardiometabolic risk factors associated with increased risk for both type 2 diabetes and cardiovascular disease. Skin autofluorescence (SAF), a non-invasive biomarker of advanced glycation end products accumulation, is associated with cardiovascular complications in subjects with diabetes. The aim of the present study was to examine the association between SAF and the presence of MetS as well as its individual components in a general population. Methods For this cross-sectional analysis, we included 78,671 non-diabetic subjects between 18 and 80 years of age who participated in the LifeLines Cohort Study and had SAF measurement obtained non-invasively using the AGE Reader. MetS was defined according to the revised NCEP ATP III criteria. Students unpaired t test was used to test differences between groups. Both logistic and linear regression analyses were performed in order to test associations between the individual MetS components and SAF. Results Subjects with MetS had higher SAF (2.07 ± 0.45 arbitrary units, AU) compared to individuals without MetS (1.89 ± 0.42 AU) (p
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- 2017
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12. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits
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Anne E. Justice, Thomas W. Winkler, Mary F. Feitosa, Misa Graff, Virginia A. Fisher, Kristin Young, Llilda Barata, Xuan Deng, Jacek Czajkowski, David Hadley, Julius S. Ngwa, Tarunveer S. Ahluwalia, Audrey Y. Chu, Nancy L. Heard-Costa, Elise Lim, Jeremiah Perez, John D. Eicher, Zoltán Kutalik, Luting Xue, Anubha Mahajan, Frida Renström, Joseph Wu, Qibin Qi, Shafqat Ahmad, Tamuno Alfred, Najaf Amin, Lawrence F. Bielak, Amelie Bonnefond, Jennifer Bragg, Gemma Cadby, Martina Chittani, Scott Coggeshall, Tanguy Corre, Nese Direk, Joel Eriksson, Krista Fischer, Mathias Gorski, Marie Neergaard Harder, Momoko Horikoshi, Tao Huang, Jennifer E. Huffman, Anne U. Jackson, Johanne Marie Justesen, Stavroula Kanoni, Leena Kinnunen, Marcus E. Kleber, Pirjo Komulainen, Meena Kumari, Unhee Lim, Jian'an Luan, Leo-Pekka Lyytikäinen, Massimo Mangino, Ani Manichaikul, Jonathan Marten, Rita P. S. Middelberg, Martina Müller-Nurasyid, Pau Navarro, Louis Pérusse, Natalia Pervjakova, Cinzia Sarti, Albert Vernon Smith, Jennifer A. Smith, Alena Stančáková, Rona J. Strawbridge, Heather M. Stringham, Yun Ju Sung, Toshiko Tanaka, Alexander Teumer, Stella Trompet, Sander W. van der Laan, Peter J. van der Most, Jana V. Van Vliet-Ostaptchouk, Sailaja L. Vedantam, Niek Verweij, Jacqueline M. Vink, Veronique Vitart, Ying Wu, Loic Yengo, Weihua Zhang, Jing Hua Zhao, Martina E. Zimmermann, Niha Zubair, Gonçalo R. Abecasis, Linda S. Adair, Saima Afaq, Uzma Afzal, Stephan J. L. Bakker, Traci M. Bartz, John Beilby, Richard N. Bergman, Sven Bergmann, Reiner Biffar, John Blangero, Eric Boerwinkle, Lori L. Bonnycastle, Erwin Bottinger, Daniele Braga, Brendan M. Buckley, Steve Buyske, Harry Campbell, John C. Chambers, Francis S. Collins, Joanne E. Curran, Gert J. de Borst, Anton J. M. de Craen, Eco J. C. de Geus, George Dedoussis, Graciela E. Delgado, Hester M. den Ruijter, Gudny Eiriksdottir, Anna L. Eriksson, Tõnu Esko, Jessica D. Faul, Ian Ford, Terrence Forrester, Karl Gertow, Bruna Gigante, Nicola Glorioso, Jian Gong, Harald Grallert, Tanja B. Grammer, Niels Grarup, Saskia Haitjema, Göran Hallmans, Anders Hamsten, Torben Hansen, Tamara B. Harris, Catharina A. Hartman, Maija Hassinen, Nicholas D. Hastie, Andrew C. Heath, Dena Hernandez, Lucia Hindorff, Lynne J. Hocking, Mette Hollensted, Oddgeir L. Holmen, Georg Homuth, Jouke Jan Hottenga, Jie Huang, Joseph Hung, Nina Hutri-Kähönen, Erik Ingelsson, Alan L. James, John-Olov Jansson, Marjo-Riitta Jarvelin, Min A. Jhun, Marit E. Jørgensen, Markus Juonala, Mika Kähönen, Magnus Karlsson, Heikki A. Koistinen, Ivana Kolcic, Genovefa Kolovou, Charles Kooperberg, Bernhard K. Krämer, Johanna Kuusisto, Kirsti Kvaløy, Timo A. Lakka, Claudia Langenberg, Lenore J. Launer, Karin Leander, Nanette R. Lee, Lars Lind, Cecilia M. Lindgren, Allan Linneberg, Stephane Lobbens, Marie Loh, Mattias Lorentzon, Robert Luben, Gitta Lubke, Anja Ludolph-Donislawski, Sara Lupoli, Pamela A. F. Madden, Reija Männikkö, Pedro Marques-Vidal, Nicholas G. Martin, Colin A. McKenzie, Barbara McKnight, Dan Mellström, Cristina Menni, Grant W. Montgomery, AW (Bill) Musk, Narisu Narisu, Matthias Nauck, Ilja M. Nolte, Albertine J. Oldehinkel, Matthias Olden, Ken K. Ong, Sandosh Padmanabhan, Patricia A. Peyser, Charlotta Pisinger, David J. Porteous, Olli T. Raitakari, Tuomo Rankinen, D. C. Rao, Laura J. Rasmussen-Torvik, Rajesh Rawal, Treva Rice, Paul M. Ridker, Lynda M. Rose, Stephanie A. Bien, Igor Rudan, Serena Sanna, Mark A. Sarzynski, Naveed Sattar, Kai Savonen, David Schlessinger, Salome Scholtens, Claudia Schurmann, Robert A. Scott, Bengt Sennblad, Marten A. Siemelink, Günther Silbernagel, P Eline Slagboom, Harold Snieder, Jan A. Staessen, David J. Stott, Morris A. Swertz, Amy J. Swift, Kent D. Taylor, Bamidele O. Tayo, Barbara Thorand, Dorothee Thuillier, Jaakko Tuomilehto, Andre G. Uitterlinden, Liesbeth Vandenput, Marie-Claude Vohl, Henry Völzke, Judith M. Vonk, Gérard Waeber, Melanie Waldenberger, R. G. J. Westendorp, Sarah Wild, Gonneke Willemsen, Bruce H. R. Wolffenbuttel, Andrew Wong, Alan F. Wright, Wei Zhao, M Carola Zillikens, Damiano Baldassarre, Beverley Balkau, Stefania Bandinelli, Carsten A. Böger, Dorret I. Boomsma, Claude Bouchard, Marcel Bruinenberg, Daniel I. Chasman, Yii-DerIda Chen, Peter S. Chines, Richard S. Cooper, Francesco Cucca, Daniele Cusi, Ulf de Faire, Luigi Ferrucci, Paul W. Franks, Philippe Froguel, Penny Gordon-Larsen, Hans- Jörgen Grabe, Vilmundur Gudnason, Christopher A. Haiman, Caroline Hayward, Kristian Hveem, Andrew D. Johnson, J Wouter Jukema, Sharon L. R. Kardia, Mika Kivimaki, Jaspal S. Kooner, Diana Kuh, Markku Laakso, Terho Lehtimäki, Loic Le Marchand, Winfried März, Mark I. McCarthy, Andres Metspalu, Andrew P. Morris, Claes Ohlsson, Lyle J. Palmer, Gerard Pasterkamp, Oluf Pedersen, Annette Peters, Ulrike Peters, Ozren Polasek, Bruce M. Psaty, Lu Qi, Rainer Rauramaa, Blair H. Smith, Thorkild I. A. Sørensen, Konstantin Strauch, Henning Tiemeier, Elena Tremoli, Pim van der Harst, Henrik Vestergaard, Peter Vollenweider, Nicholas J. Wareham, David R. Weir, John B. Whitfield, James F. Wilson, Jessica Tyrrell, Timothy M. Frayling, Inês Barroso, Michael Boehnke, Panagiotis Deloukas, Caroline S. Fox, Joel N. Hirschhorn, David J. Hunter, Tim D. Spector, David P. Strachan, Cornelia M. van Duijn, Iris M. Heid, Karen L. Mohlke, Jonathan Marchini, Ruth J. F. Loos, Tuomas O. Kilpeläinen, Ching-Ti Liu, Ingrid B. Borecki, Kari E. North, and L Adrienne Cupples
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Science - Abstract
Genome-wide association studies (GWAS) have become a key tool to discover genetic markers for complex traits; however, environmental factors that interact with genes are rarely considered. Here, the authors conduct a GWAS of obesity traits, and find that smoking may alter genetic susceptibilities.
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- 2017
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13. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape
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Janina S. Ried, Janina Jeff M., Audrey Y. Chu, Jennifer L. Bragg-Gresham, Jenny van Dongen, Jennifer E. Huffman, Tarunveer S. Ahluwalia, Gemma Cadby, Niina Eklund, Joel Eriksson, Tõnu Esko, Mary F. Feitosa, Anuj Goel, Mathias Gorski, Caroline Hayward, Nancy L. Heard-Costa, Anne U. Jackson, Eero Jokinen, Stavroula Kanoni, Kati Kristiansson, Zoltán Kutalik, Jari Lahti, Jian'an Luan, Reedik Mägi, Anubha Mahajan, Massimo Mangino, Carolina Medina-Gomez, Keri L. Monda, Ilja M. Nolte, Louis Pérusse, Inga Prokopenko, Lu Qi, Lynda M. Rose, Erika Salvi, Megan T. Smith, Harold Snieder, Alena Stančáková, Yun Ju Sung, Ioanna Tachmazidou, Alexander Teumer, Gudmar Thorleifsson, Pim van der Harst, Ryan W. Walker, Sophie R. Wang, Sarah H. Wild, Sara M. Willems, Andrew Wong, Weihua Zhang, Eva Albrecht, Alexessander Couto Alves, Stephan J. L. Bakker, Cristina Barlassina, Traci M. Bartz, John Beilby, Claire Bellis, Richard N. Bergman, Sven Bergmann, John Blangero, Matthias Blüher, Eric Boerwinkle, Lori L. Bonnycastle, Stefan R. Bornstein, Marcel Bruinenberg, Harry Campbell, Yii-Der Ida Chen, Charleston W. K. Chiang, Peter S. Chines, Francis S Collins, Fracensco Cucca, L Adrienne Cupples, Francesca D’Avila, Eco J .C. de Geus, George Dedoussis, Maria Dimitriou, Angela Döring, Johan G. Eriksson, Aliki-Eleni Farmaki, Martin Farrall, Teresa Ferreira, Krista Fischer, Nita G. Forouhi, Nele Friedrich, Anette Prior Gjesing, Nicola Glorioso, Mariaelisa Graff, Harald Grallert, Niels Grarup, Jürgen Gräßler, Jagvir Grewal, Anders Hamsten, Marie Neergaard Harder, Catharina A. Hartman, Maija Hassinen, Nicholas Hastie, Andrew Tym Hattersley, Aki S. Havulinna, Markku Heliövaara, Hans Hillege, Albert Hofman, Oddgeir Holmen, Georg Homuth, Jouke-Jan Hottenga, Jennie Hui, Lise Lotte Husemoen, Pirro G. Hysi, Aaron Isaacs, Till Ittermann, Shapour Jalilzadeh, Alan L. James, Torben Jørgensen, Pekka Jousilahti, Antti Jula, Johanne Marie Justesen, Anne E. Justice, Mika Kähönen, Maria Karaleftheri, Kay Tee Khaw, Sirkka M. Keinanen-Kiukaanniemi, Leena Kinnunen, Paul B. Knekt, Heikki A. Koistinen, Ivana Kolcic, Ishminder K. Kooner, Seppo Koskinen, Peter Kovacs, Theodosios Kyriakou, Tomi Laitinen, Claudia Langenberg, Alexandra M. Lewin, Peter Lichtner, Cecilia M. Lindgren, Jaana Lindström, Allan Linneberg, Roberto Lorbeer, Mattias Lorentzon, Robert Luben, Valeriya Lyssenko, Satu Männistö, Paolo Manunta, Irene Mateo Leach, Wendy L. McArdle, Barbara Mcknight, Karen L. Mohlke, Evelin Mihailov, Lili Milani, Rebecca Mills, May E. Montasser, Andrew P. Morris, Gabriele Müller, Arthur W. Musk, Narisu Narisu, Ken K. Ong, Ben A. Oostra, Clive Osmond, Aarno Palotie, James S. Pankow, Lavinia Paternoster, Brenda W. Penninx, Irene Pichler, Maria G. Pilia, Ozren Polašek, Peter P. Pramstaller, Olli T Raitakari, Tuomo Rankinen, D. C. Rao, Nigel W. Rayner, Rasmus Ribel-Madsen, Treva K. Rice, Marcus Richards, Paul M. Ridker, Fernando Rivadeneira, Kathy A. Ryan, Serena Sanna, Mark A. Sarzynski, Salome Scholtens, Robert A. Scott, Sylvain Sebert, Lorraine Southam, Thomas Hempel Sparsø, Valgerdur Steinthorsdottir, Kathleen Stirrups, Ronald P. Stolk, Konstantin Strauch, Heather M. Stringham, Morris A. Swertz, Amy J. Swift, Anke Tönjes, Emmanouil Tsafantakis, Peter J. van der Most, Jana V. Van Vliet-Ostaptchouk, Liesbeth Vandenput, Erkki Vartiainen, Cristina Venturini, Niek Verweij, Jorma S. Viikari, Veronique Vitart, Marie-Claude Vohl, Judith M. Vonk, Gérard Waeber, Elisabeth Widén, Gonneke Willemsen, Tom Wilsgaard, Thomas W. Winkler, Alan F. Wright, Laura M. Yerges-Armstrong, Jing Hua Zhao, M. Carola Zillikens, Dorret I. Boomsma, Claude Bouchard, John C. Chambers, Daniel I. Chasman, Daniele Cusi, Ron T. Gansevoort, Christian Gieger, Torben Hansen, Andrew A. Hicks, Frank Hu, Kristian Hveem, Marjo-Riitta Jarvelin, Eero Kajantie, Jaspal S. Kooner, Diana Kuh, Johanna Kuusisto, Markku Laakso, Timo A. Lakka, Terho Lehtimäki, Andres Metspalu, Inger Njølstad, Claes Ohlsson, Albertine J. Oldehinkel, Lyle J. Palmer, Oluf Pedersen, Markus Perola, Annette Peters, Bruce M. Psaty, Hannu Puolijoki, Rainer Rauramaa, Igor Rudan, Veikko Salomaa, Peter E. H. Schwarz, Alan R. Shudiner, Jan H. Smit, Thorkild I. A. Sørensen, Timothy D. Spector, Kari Stefansson, Michael Stumvoll, Angelo Tremblay, Jaakko Tuomilehto, André G. Uitterlinden, Matti Uusitupa, Uwe Völker, Peter Vollenweider, Nicholas J. Wareham, Hugh Watkins, James F. Wilson, Eleftheria Zeggini, Goncalo R. Abecasis, Michael Boehnke, Ingrid B. Borecki, Panos Deloukas, Cornelia M. van Duijn, Caroline Fox, Leif C. Groop, Iris M. Heid, David J. Hunter, Robert C. Kaplan, Mark I. McCarthy, Kari E. North, Jeffrey R. O'Connell, David Schlessinger, Unnur Thorsteinsdottir, David P. Strachan, Timothy Frayling, Joel N. Hirschhorn, Martina Müller-Nurasyid, and Ruth J. F. Loos
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Science - Abstract
Past genome-wide associate studies have identified hundreds of genetic loci that influence body size and shape when examined one trait at a time. Here, Jeff and colleagues develop an aggregate score of various body traits, and use meta-analysis to find new loci linked to body shape.
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- 2016
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14. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis.
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Eleanor Wheeler, Aaron Leong, Ching-Ti Liu, Marie-France Hivert, Rona J Strawbridge, Clara Podmore, Man Li, Jie Yao, Xueling Sim, Jaeyoung Hong, Audrey Y Chu, Weihua Zhang, Xu Wang, Peng Chen, Nisa M Maruthur, Bianca C Porneala, Stephen J Sharp, Yucheng Jia, Edmond K Kabagambe, Li-Ching Chang, Wei-Min Chen, Cathy E Elks, Daniel S Evans, Qiao Fan, Franco Giulianini, Min Jin Go, Jouke-Jan Hottenga, Yao Hu, Anne U Jackson, Stavroula Kanoni, Young Jin Kim, Marcus E Kleber, Claes Ladenvall, Cecile Lecoeur, Sing-Hui Lim, Yingchang Lu, Anubha Mahajan, Carola Marzi, Mike A Nalls, Pau Navarro, Ilja M Nolte, Lynda M Rose, Denis V Rybin, Serena Sanna, Yuan Shi, Daniel O Stram, Fumihiko Takeuchi, Shu Pei Tan, Peter J van der Most, Jana V Van Vliet-Ostaptchouk, Andrew Wong, Loic Yengo, Wanting Zhao, Anuj Goel, Maria Teresa Martinez Larrad, Dörte Radke, Perttu Salo, Toshiko Tanaka, Erik P A van Iperen, Goncalo Abecasis, Saima Afaq, Behrooz Z Alizadeh, Alain G Bertoni, Amelie Bonnefond, Yvonne Böttcher, Erwin P Bottinger, Harry Campbell, Olga D Carlson, Chien-Hsiun Chen, Yoon Shin Cho, W Timothy Garvey, Christian Gieger, Mark O Goodarzi, Harald Grallert, Anders Hamsten, Catharina A Hartman, Christian Herder, Chao Agnes Hsiung, Jie Huang, Michiya Igase, Masato Isono, Tomohiro Katsuya, Chiea-Chuen Khor, Wieland Kiess, Katsuhiko Kohara, Peter Kovacs, Juyoung Lee, Wen-Jane Lee, Benjamin Lehne, Huaixing Li, Jianjun Liu, Stephane Lobbens, Jian'an Luan, Valeriya Lyssenko, Thomas Meitinger, Tetsuro Miki, Iva Miljkovic, Sanghoon Moon, Antonella Mulas, Gabriele Müller, Martina Müller-Nurasyid, Ramaiah Nagaraja, Matthias Nauck, James S Pankow, Ozren Polasek, Inga Prokopenko, Paula S Ramos, Laura Rasmussen-Torvik, Wolfgang Rathmann, Stephen S Rich, Neil R Robertson, Michael Roden, Ronan Roussel, Igor Rudan, Robert A Scott, William R Scott, Bengt Sennblad, David S Siscovick, Konstantin Strauch, Liang Sun, Morris Swertz, Salman M Tajuddin, Kent D Taylor, Yik-Ying Teo, Yih Chung Tham, Anke Tönjes, Nicholas J Wareham, Gonneke Willemsen, Tom Wilsgaard, Aroon D Hingorani, EPIC-CVD Consortium, EPIC-InterAct Consortium, Lifelines Cohort Study, Josephine Egan, Luigi Ferrucci, G Kees Hovingh, Antti Jula, Mika Kivimaki, Meena Kumari, Inger Njølstad, Colin N A Palmer, Manuel Serrano Ríos, Michael Stumvoll, Hugh Watkins, Tin Aung, Matthias Blüher, Michael Boehnke, Dorret I Boomsma, Stefan R Bornstein, John C Chambers, Daniel I Chasman, Yii-Der Ida Chen, Yduan-Tsong Chen, Ching-Yu Cheng, Francesco Cucca, Eco J C de Geus, Panos Deloukas, Michele K Evans, Myriam Fornage, Yechiel Friedlander, Philippe Froguel, Leif Groop, Myron D Gross, Tamara B Harris, Caroline Hayward, Chew-Kiat Heng, Erik Ingelsson, Norihiro Kato, Bong-Jo Kim, Woon-Puay Koh, Jaspal S Kooner, Antje Körner, Diana Kuh, Johanna Kuusisto, Markku Laakso, Xu Lin, Yongmei Liu, Ruth J F Loos, Patrik K E Magnusson, Winfried März, Mark I McCarthy, Albertine J Oldehinkel, Ken K Ong, Nancy L Pedersen, Mark A Pereira, Annette Peters, Paul M Ridker, Charumathi Sabanayagam, Michele Sale, Danish Saleheen, Juha Saltevo, Peter Eh Schwarz, Wayne H H Sheu, Harold Snieder, Timothy D Spector, Yasuharu Tabara, Jaakko Tuomilehto, Rob M van Dam, James G Wilson, James F Wilson, Bruce H R Wolffenbuttel, Tien Yin Wong, Jer-Yuarn Wu, Jian-Min Yuan, Alan B Zonderman, Nicole Soranzo, Xiuqing Guo, David J Roberts, Jose C Florez, Robert Sladek, Josée Dupuis, Andrew P Morris, E-Shyong Tai, Elizabeth Selvin, Jerome I Rotter, Claudia Langenberg, Inês Barroso, and James B Meigs
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Medicine - Abstract
BackgroundGlycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.Methods & findingsUsing genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.ConclusionsAs G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.
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- 2017
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15. Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
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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
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Genetics ,QH426-470 - Abstract
[This corrects the article DOI: 10.1371/journal.pgen.1006528.].
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- 2017
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16. Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
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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
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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.
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- 2017
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17. The association between various smoking behaviors, cotinine biomarkers and skin autofluorescence, a marker for advanced glycation end product accumulation.
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Robert P van Waateringe, Marjonneke J Mook-Kanamori, Sandra N Slagter, Melanie M van der Klauw, Jana V van Vliet-Ostaptchouk, Reindert Graaff, Helen L Lutgers, Karsten Suhre, Mohammed M El-Din Selim, Dennis O Mook-Kanamori, and Bruce H R Wolffenbuttel
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Medicine ,Science - Abstract
Skin autofluorescence, a biomarker for advanced glycation end products (AGEs) accumulation, has been shown to predict diabetes-related cardiovascular complications and is associated with several environmental and lifestyle factors. In the present study, we examined the association between various smoking behaviors and skin autofluorescence, as well as the association between several cotinine biomarkers and skin autofluorescence, using both epidemiological and metabolomics data.In a cross-sectional study, we evaluated participants from the LifeLines Cohort Study and the Qatar Metabolomics Study on Diabetes (QMDiab). In the LifeLines Cohort Study smoking behavior and secondhand smoking were assessed in 8,905 individuals including 309 individuals (3.5%) with type 2 diabetes. In QMDiab, cotinine biomarkers were measured in saliva, plasma and urine in 364 individuals of whom 188 (51%) had type 2 diabetes. Skin autofluorescence was measured non-invasively in all participants using the AGE Reader.Skin autofluorescence levels increased with a higher number of hours being exposed to secondhand smoking. Skin autofluorescence levels of former smokers approached levels of never smokers after around 15 years of smoking cessation. Urinary cotinine N-oxide, a biomarker of nicotine exposure, was found to be positively associated with skin autofluorescence in the QMDiab study (p = 0.03).In the present study, we have demonstrated that secondhand smoking is associated with higher skin autofluorescence levels whereas smoking cessation has a beneficial effect on skin autofluorescence. Finally, urinary cotinine N-oxide might be used as an alternative way for questionnaires to examine the effect of (environmental) tobacco smoking on skin autofluorescence.
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- 2017
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18. Epigenome-wide association study of incident type 2 diabetes: a meta-analysis of five prospective European cohorts
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Eliza Fraszczyk, Annemieke M. W. Spijkerman, Yan Zhang, Stefan Brandmaier, Felix R. Day, Li Zhou, Paul Wackers, Martijn E. T. Dollé, Vincent W. Bloks, Xīn Gào, Christian Gieger, Jaspal Kooner, Jennifer Kriebel, H. Susan J. Picavet, Wolfgang Rathmann, Ben Schöttker, Marie Loh, W. M. Monique Verschuren, Jana V. van Vliet-Ostaptchouk, Nicholas J. Wareham, John C. Chambers, Ken K. Ong, Harald Grallert, Hermann Brenner, Mirjam Luijten, Harold Snieder, Day, Felix [0000-0003-3789-7651], Wareham, Nicholas [0000-0003-1422-2993], Ong, Kenneth [0000-0003-4689-7530], Apollo - University of Cambridge Repository, Center for Liver, Digestive and Metabolic Diseases (CLDM), and Life Course Epidemiology (LCE)
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Epigenome-wide association studies ,DNA methylation ,Endocrinology, Diabetes and Metabolism ,Type 2 diabetes ,Epigenesis, Genetic ,Biomarkers ,Dna Methylation ,Epigenetics ,Epigenome-wide Association Studies ,Meta-analysis ,Prediction ,Prospective Studies ,Type 2 Diabetes ,Epigenome ,Diabetes Mellitus, Type 2 ,Internal Medicine ,Humans ,CpG Islands ,Genome-Wide Association Study - Abstract
Aims/hypothesis Type 2 diabetes is a complex metabolic disease with increasing prevalence worldwide. Improving the prediction of incident type 2 diabetes using epigenetic markers could help tailor prevention efforts to those at the highest risk. The aim of this study was to identify predictive methylation markers for incident type 2 diabetes by combining epigenome-wide association study (EWAS) results from five prospective European cohorts. Methods We conducted a meta-analysis of EWASs in blood collected 7–10 years prior to type 2 diabetes diagnosis. DNA methylation was measured with Illumina Infinium Methylation arrays. A total of 1250 cases and 1950 controls from five longitudinal cohorts were included: Doetinchem, ESTHER, KORA1, KORA2 and EPIC-Norfolk. Associations between DNA methylation and incident type 2 diabetes were examined using robust linear regression with adjustment for potential confounders. Inverse-variance fixed-effects meta-analysis of cohort-level individual CpG EWAS estimates was performed using METAL. The methylGSA R package was used for gene set enrichment analysis. Confirmation of genome-wide significant CpG sites was performed in a cohort of Indian Asians (LOLIPOP, UK). Results The meta-analysis identified 76 CpG sites that were differentially methylated in individuals with incident type 2 diabetes compared with control individuals (p values −7). Sixty-four out of 76 (84.2%) CpG sites were confirmed by directionally consistent effects and p values 1c) showed no improvement (AUC 0.757 vs 0.753). Gene set enrichment analysis of the full epigenome-wide results clearly showed enrichment of processes linked to insulin signalling, lipid homeostasis and inflammation. Conclusions/interpretation By combining results from five European cohorts, and thus significantly increasing study sample size, we identified 76 CpG sites associated with incident type 2 diabetes. Replication of 64 CpGs in an independent cohort of Indian Asians suggests that the association between DNA methylation levels and incident type 2 diabetes is robust and independent of ethnicity. Our data also indicate that BMI partly explains the association between DNA methylation and incident type 2 diabetes. Further studies are required to elucidate the underlying biological mechanisms and to determine potential causal roles of the differentially methylated CpG sites in type 2 diabetes development. Graphical abstract
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- 2022
19. Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.
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Thomas W Winkler, Anne E Justice, Mariaelisa Graff, Llilda Barata, Mary F Feitosa, Su Chu, Jacek Czajkowski, Tõnu Esko, Tove Fall, Tuomas O Kilpeläinen, Yingchang Lu, Reedik Mägi, Evelin Mihailov, Tune H Pers, Sina Rüeger, Alexander Teumer, Georg B Ehret, Teresa Ferreira, Nancy L Heard-Costa, Juha Karjalainen, Vasiliki Lagou, Anubha Mahajan, Michael D Neinast, Inga Prokopenko, Jeannette Simino, Tanya M Teslovich, Rick Jansen, Harm-Jan Westra, Charles C White, Devin Absher, Tarunveer S Ahluwalia, Shafqat Ahmad, Eva Albrecht, Alexessander Couto Alves, Jennifer L Bragg-Gresham, Anton J M de Craen, Joshua C Bis, Amélie Bonnefond, Gabrielle Boucher, Gemma Cadby, Yu-Ching Cheng, Charleston W K Chiang, Graciela Delgado, Ayse Demirkan, Nicole Dueker, Niina Eklund, Gudny Eiriksdottir, Joel Eriksson, Bjarke Feenstra, Krista Fischer, Francesca Frau, Tessel E Galesloot, Frank Geller, Anuj Goel, Mathias Gorski, Tanja B Grammer, Stefan Gustafsson, Saskia Haitjema, Jouke-Jan Hottenga, Jennifer E Huffman, Anne U Jackson, Kevin B Jacobs, Åsa Johansson, Marika Kaakinen, Marcus E Kleber, Jari Lahti, Irene Mateo Leach, Benjamin Lehne, Youfang Liu, Ken Sin Lo, Mattias Lorentzon, Jian'an Luan, Pamela A F Madden, Massimo Mangino, Barbara McKnight, Carolina Medina-Gomez, Keri L Monda, May E Montasser, Gabriele Müller, Martina Müller-Nurasyid, Ilja M Nolte, Kalliope Panoutsopoulou, Laura Pascoe, Lavinia Paternoster, Nigel W Rayner, Frida Renström, Federica Rizzi, Lynda M Rose, Kathy A Ryan, Perttu Salo, Serena Sanna, Hubert Scharnagl, Jianxin Shi, Albert Vernon Smith, Lorraine Southam, Alena Stančáková, Valgerdur Steinthorsdottir, Rona J Strawbridge, Yun Ju Sung, Ioanna Tachmazidou, Toshiko Tanaka, Gudmar Thorleifsson, Stella Trompet, Natalia Pervjakova, Jonathan P Tyrer, Liesbeth Vandenput, Sander W van der Laan, Nathalie van der Velde, Jessica van Setten, Jana V van Vliet-Ostaptchouk, Niek Verweij, Efthymia Vlachopoulou, Lindsay L Waite, Sophie R Wang, Zhaoming Wang, Sarah H Wild, Christina Willenborg, James F Wilson, Andrew Wong, Jian Yang, Loïc Yengo, Laura M Yerges-Armstrong, Lei Yu, Weihua Zhang, Jing Hua Zhao, Ehm A Andersson, Stephan J L Bakker, Damiano Baldassarre, Karina Banasik, Matteo Barcella, Cristina Barlassina, Claire Bellis, Paola Benaglio, John Blangero, Matthias Blüher, Fabrice Bonnet, Lori L Bonnycastle, Heather A Boyd, Marcel Bruinenberg, Aron S Buchman, Harry Campbell, Yii-Der Ida Chen, Peter S Chines, Simone Claudi-Boehm, John Cole, Francis S Collins, Eco J C de Geus, Lisette C P G M de Groot, Maria Dimitriou, Jubao Duan, Stefan Enroth, Elodie Eury, Aliki-Eleni Farmaki, Nita G Forouhi, Nele Friedrich, Pablo V Gejman, Bruna Gigante, Nicola Glorioso, Alan S Go, Omri Gottesman, Jürgen Gräßler, Harald Grallert, Niels Grarup, Yu-Mei Gu, Linda Broer, Annelies C Ham, Torben Hansen, Tamara B Harris, Catharina A Hartman, Maija Hassinen, Nicholas Hastie, Andrew T Hattersley, Andrew C Heath, Anjali K Henders, Dena Hernandez, Hans Hillege, Oddgeir Holmen, Kees G Hovingh, Jennie Hui, Lise L Husemoen, Nina Hutri-Kähönen, Pirro G Hysi, Thomas Illig, Philip L De Jager, Shapour Jalilzadeh, Torben Jørgensen, J Wouter Jukema, Markus Juonala, Stavroula Kanoni, Maria Karaleftheri, Kay Tee Khaw, Leena Kinnunen, Steven J Kittner, Wolfgang Koenig, Ivana Kolcic, Peter Kovacs, Nikolaj T Krarup, Wolfgang Kratzer, Janine Krüger, Diana Kuh, Meena Kumari, Theodosios Kyriakou, Claudia Langenberg, Lars Lannfelt, Chiara Lanzani, Vaneet Lotay, Lenore J Launer, Karin Leander, Jaana Lindström, Allan Linneberg, Yan-Ping Liu, Stéphane Lobbens, Robert Luben, Valeriya Lyssenko, Satu Männistö, Patrik K Magnusson, Wendy L McArdle, Cristina Menni, Sigrun Merger, Lili Milani, Grant W Montgomery, Andrew P Morris, Narisu Narisu, Mari Nelis, Ken K Ong, Aarno Palotie, Louis Pérusse, Irene Pichler, Maria G Pilia, Anneli Pouta, Myriam Rheinberger, Rasmus Ribel-Madsen, Marcus Richards, Kenneth M Rice, Treva K Rice, Carlo Rivolta, Veikko Salomaa, Alan R Sanders, Mark A Sarzynski, Salome Scholtens, Robert A Scott, William R Scott, Sylvain Sebert, Sebanti Sengupta, Bengt Sennblad, Thomas Seufferlein, Angela Silveira, P Eline Slagboom, Jan H Smit, Thomas H Sparsø, Kathleen Stirrups, Ronald P Stolk, Heather M Stringham, Morris A Swertz, Amy J Swift, Ann-Christine Syvänen, Sian-Tsung Tan, Barbara Thorand, Anke Tönjes, Angelo Tremblay, Emmanouil Tsafantakis, Peter J van der Most, Uwe Völker, Marie-Claude Vohl, Judith M Vonk, Melanie Waldenberger, Ryan W Walker, Roman Wennauer, Elisabeth Widén, Gonneke Willemsen, Tom Wilsgaard, Alan F Wright, M Carola Zillikens, Suzanne C van Dijk, Natasja M van Schoor, Folkert W Asselbergs, Paul I W de Bakker, Jacques S Beckmann, John Beilby, David A Bennett, Richard N Bergman, Sven Bergmann, Carsten A Böger, Bernhard O Boehm, Eric Boerwinkle, Dorret I Boomsma, Stefan R Bornstein, Erwin P Bottinger, Claude Bouchard, John C Chambers, Stephen J Chanock, Daniel I Chasman, Francesco Cucca, Daniele Cusi, George Dedoussis, Jeanette Erdmann, Johan G Eriksson, Denis A Evans, Ulf de Faire, Martin Farrall, Luigi Ferrucci, Ian Ford, Lude Franke, Paul W Franks, Philippe Froguel, Ron T Gansevoort, Christian Gieger, Henrik Grönberg, Vilmundur Gudnason, Ulf Gyllensten, Per Hall, Anders Hamsten, Pim van der Harst, Caroline Hayward, Markku Heliövaara, Christian Hengstenberg, Andrew A Hicks, Aroon Hingorani, Albert Hofman, Frank Hu, Heikki V Huikuri, Kristian Hveem, Alan L James, Joanne M Jordan, Antti Jula, Mika Kähönen, Eero Kajantie, Sekar Kathiresan, Lambertus A L M Kiemeney, Mika Kivimaki, Paul B Knekt, Heikki A Koistinen, Jaspal S Kooner, Seppo Koskinen, Johanna Kuusisto, Winfried Maerz, Nicholas G Martin, Markku Laakso, Timo A Lakka, Terho Lehtimäki, Guillaume Lettre, Douglas F Levinson, Lars Lind, Marja-Liisa Lokki, Pekka Mäntyselkä, Mads Melbye, Andres Metspalu, Braxton D Mitchell, Frans L Moll, Jeffrey C Murray, Arthur W Musk, Markku S Nieminen, Inger Njølstad, Claes Ohlsson, Albertine J Oldehinkel, Ben A Oostra, Lyle J Palmer, James S Pankow, Gerard Pasterkamp, Nancy L Pedersen, Oluf Pedersen, Brenda W Penninx, Markus Perola, Annette Peters, Ozren Polašek, Peter P Pramstaller, Bruce M Psaty, Lu Qi, Thomas Quertermous, Olli T Raitakari, Tuomo Rankinen, Rainer Rauramaa, Paul M Ridker, John D Rioux, Fernando Rivadeneira, Jerome I Rotter, Igor Rudan, Hester M den Ruijter, Juha Saltevo, Naveed Sattar, Heribert Schunkert, Peter E H Schwarz, Alan R Shuldiner, Juha Sinisalo, Harold Snieder, Thorkild I A Sørensen, Tim D Spector, Jan A Staessen, Bandinelli Stefania, Unnur Thorsteinsdottir, Michael Stumvoll, Jean-Claude Tardif, Elena Tremoli, Jaakko Tuomilehto, André G Uitterlinden, Matti Uusitupa, André L M Verbeek, Sita H Vermeulen, Jorma S Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Gérard Waeber, Mark Walker, Henri Wallaschofski, Nicholas J Wareham, Hugh Watkins, Eleftheria Zeggini, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Aravinda Chakravarti, Deborah J Clegg, L Adrienne Cupples, Penny Gordon-Larsen, Cashell E Jaquish, D C Rao, Goncalo R Abecasis, Themistocles L Assimes, Inês Barroso, Sonja I Berndt, Michael Boehnke, Panos Deloukas, Caroline S Fox, Leif C Groop, David J Hunter, Erik Ingelsson, Robert C Kaplan, Mark I McCarthy, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Joel N Hirschhorn, Cecilia M Lindgren, Iris M Heid, Kari E North, Ingrid B Borecki, Zoltán Kutalik, and Ruth J F Loos
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Genetics ,QH426-470 - Abstract
[This corrects the article DOI: 10.1371/journal.pgen.1005378.].
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- 2016
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20. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.
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Thomas W Winkler, Anne E Justice, Mariaelisa Graff, Llilda Barata, Mary F Feitosa, Su Chu, Jacek Czajkowski, Tõnu Esko, Tove Fall, Tuomas O Kilpeläinen, Yingchang Lu, Reedik Mägi, Evelin Mihailov, Tune H Pers, Sina Rüeger, Alexander Teumer, Georg B Ehret, Teresa Ferreira, Nancy L Heard-Costa, Juha Karjalainen, Vasiliki Lagou, Anubha Mahajan, Michael D Neinast, Inga Prokopenko, Jeannette Simino, Tanya M Teslovich, Rick Jansen, Harm-Jan Westra, Charles C White, Devin Absher, Tarunveer S Ahluwalia, Shafqat Ahmad, Eva Albrecht, Alexessander Couto Alves, Jennifer L Bragg-Gresham, Anton J M de Craen, Joshua C Bis, Amélie Bonnefond, Gabrielle Boucher, Gemma Cadby, Yu-Ching Cheng, Charleston W K Chiang, Graciela Delgado, Ayse Demirkan, Nicole Dueker, Niina Eklund, Gudny Eiriksdottir, Joel Eriksson, Bjarke Feenstra, Krista Fischer, Francesca Frau, Tessel E Galesloot, Frank Geller, Anuj Goel, Mathias Gorski, Tanja B Grammer, Stefan Gustafsson, Saskia Haitjema, Jouke-Jan Hottenga, Jennifer E Huffman, Anne U Jackson, Kevin B Jacobs, Åsa Johansson, Marika Kaakinen, Marcus E Kleber, Jari Lahti, Irene Mateo Leach, Benjamin Lehne, Youfang Liu, Ken Sin Lo, Mattias Lorentzon, Jian'an Luan, Pamela A F Madden, Massimo Mangino, Barbara McKnight, Carolina Medina-Gomez, Keri L Monda, May E Montasser, Gabriele Müller, Martina Müller-Nurasyid, Ilja M Nolte, Kalliope Panoutsopoulou, Laura Pascoe, Lavinia Paternoster, Nigel W Rayner, Frida Renström, Federica Rizzi, Lynda M Rose, Kathy A Ryan, Perttu Salo, Serena Sanna, Hubert Scharnagl, Jianxin Shi, Albert Vernon Smith, Lorraine Southam, Alena Stančáková, Valgerdur Steinthorsdottir, Rona J Strawbridge, Yun Ju Sung, Ioanna Tachmazidou, Toshiko Tanaka, Gudmar Thorleifsson, Stella Trompet, Natalia Pervjakova, Jonathan P Tyrer, Liesbeth Vandenput, Sander W van der Laan, Nathalie van der Velde, Jessica van Setten, Jana V van Vliet-Ostaptchouk, Niek Verweij, Efthymia Vlachopoulou, Lindsay L Waite, Sophie R Wang, Zhaoming Wang, Sarah H Wild, Christina Willenborg, James F Wilson, Andrew Wong, Jian Yang, Loïc Yengo, Laura M Yerges-Armstrong, Lei Yu, Weihua Zhang, Jing Hua Zhao, Ehm A Andersson, Stephan J L Bakker, Damiano Baldassarre, Karina Banasik, Matteo Barcella, Cristina Barlassina, Claire Bellis, Paola Benaglio, John Blangero, Matthias Blüher, Fabrice Bonnet, Lori L Bonnycastle, Heather A Boyd, Marcel Bruinenberg, Aron S Buchman, Harry Campbell, Yii-Der Ida Chen, Peter S Chines, Simone Claudi-Boehm, John Cole, Francis S Collins, Eco J C de Geus, Lisette C P G M de Groot, Maria Dimitriou, Jubao Duan, Stefan Enroth, Elodie Eury, Aliki-Eleni Farmaki, Nita G Forouhi, Nele Friedrich, Pablo V Gejman, Bruna Gigante, Nicola Glorioso, Alan S Go, Omri Gottesman, Jürgen Gräßler, Harald Grallert, Niels Grarup, Yu-Mei Gu, Linda Broer, Annelies C Ham, Torben Hansen, Tamara B Harris, Catharina A Hartman, Maija Hassinen, Nicholas Hastie, Andrew T Hattersley, Andrew C Heath, Anjali K Henders, Dena Hernandez, Hans Hillege, Oddgeir Holmen, Kees G Hovingh, Jennie Hui, Lise L Husemoen, Nina Hutri-Kähönen, Pirro G Hysi, Thomas Illig, Philip L De Jager, Shapour Jalilzadeh, Torben Jørgensen, J Wouter Jukema, Markus Juonala, Stavroula Kanoni, Maria Karaleftheri, Kay Tee Khaw, Leena Kinnunen, Steven J Kittner, Wolfgang Koenig, Ivana Kolcic, Peter Kovacs, Nikolaj T Krarup, Wolfgang Kratzer, Janine Krüger, Diana Kuh, Meena Kumari, Theodosios Kyriakou, Claudia Langenberg, Lars Lannfelt, Chiara Lanzani, Vaneet Lotay, Lenore J Launer, Karin Leander, Jaana Lindström, Allan Linneberg, Yan-Ping Liu, Stéphane Lobbens, Robert Luben, Valeriya Lyssenko, Satu Männistö, Patrik K Magnusson, Wendy L McArdle, Cristina Menni, Sigrun Merger, Lili Milani, Grant W Montgomery, Andrew P Morris, Narisu Narisu, Mari Nelis, Ken K Ong, Aarno Palotie, Louis Pérusse, Irene Pichler, Maria G Pilia, Anneli Pouta, Myriam Rheinberger, Rasmus Ribel-Madsen, Marcus Richards, Kenneth M Rice, Treva K Rice, Carlo Rivolta, Veikko Salomaa, Alan R Sanders, Mark A Sarzynski, Salome Scholtens, Robert A Scott, William R Scott, Sylvain Sebert, Sebanti Sengupta, Bengt Sennblad, Thomas Seufferlein, Angela Silveira, P Eline Slagboom, Jan H Smit, Thomas H Sparsø, Kathleen Stirrups, Ronald P Stolk, Heather M Stringham, Morris A Swertz, Amy J Swift, Ann-Christine Syvänen, Sian-Tsung Tan, Barbara Thorand, Anke Tönjes, Angelo Tremblay, Emmanouil Tsafantakis, Peter J van der Most, Uwe Völker, Marie-Claude Vohl, Judith M Vonk, Melanie Waldenberger, Ryan W Walker, Roman Wennauer, Elisabeth Widén, Gonneke Willemsen, Tom Wilsgaard, Alan F Wright, M Carola Zillikens, Suzanne C van Dijk, Natasja M van Schoor, Folkert W Asselbergs, Paul I W de Bakker, Jacques S Beckmann, John Beilby, David A Bennett, Richard N Bergman, Sven Bergmann, Carsten A Böger, Bernhard O Boehm, Eric Boerwinkle, Dorret I Boomsma, Stefan R Bornstein, Erwin P Bottinger, Claude Bouchard, John C Chambers, Stephen J Chanock, Daniel I Chasman, Francesco Cucca, Daniele Cusi, George Dedoussis, Jeanette Erdmann, Johan G Eriksson, Denis A Evans, Ulf de Faire, Martin Farrall, Luigi Ferrucci, Ian Ford, Lude Franke, Paul W Franks, Philippe Froguel, Ron T Gansevoort, Christian Gieger, Henrik Grönberg, Vilmundur Gudnason, Ulf Gyllensten, Per Hall, Anders Hamsten, Pim van der Harst, Caroline Hayward, Markku Heliövaara, Christian Hengstenberg, Andrew A Hicks, Aroon Hingorani, Albert Hofman, Frank Hu, Heikki V Huikuri, Kristian Hveem, Alan L James, Joanne M Jordan, Antti Jula, Mika Kähönen, Eero Kajantie, Sekar Kathiresan, Lambertus A L M Kiemeney, Mika Kivimaki, Paul B Knekt, Heikki A Koistinen, Jaspal S Kooner, Seppo Koskinen, Johanna Kuusisto, Winfried Maerz, Nicholas G Martin, Markku Laakso, Timo A Lakka, Terho Lehtimäki, Guillaume Lettre, Douglas F Levinson, Lars Lind, Marja-Liisa Lokki, Pekka Mäntyselkä, Mads Melbye, Andres Metspalu, Braxton D Mitchell, Frans L Moll, Jeffrey C Murray, Arthur W Musk, Markku S Nieminen, Inger Njølstad, Claes Ohlsson, Albertine J Oldehinkel, Ben A Oostra, Lyle J Palmer, James S Pankow, Gerard Pasterkamp, Nancy L Pedersen, Oluf Pedersen, Brenda W Penninx, Markus Perola, Annette Peters, Ozren Polašek, Peter P Pramstaller, Bruce M Psaty, Lu Qi, Thomas Quertermous, Olli T Raitakari, Tuomo Rankinen, Rainer Rauramaa, Paul M Ridker, John D Rioux, Fernando Rivadeneira, Jerome I Rotter, Igor Rudan, Hester M den Ruijter, Juha Saltevo, Naveed Sattar, Heribert Schunkert, Peter E H Schwarz, Alan R Shuldiner, Juha Sinisalo, Harold Snieder, Thorkild I A Sørensen, Tim D Spector, Jan A Staessen, Bandinelli Stefania, Unnur Thorsteinsdottir, Michael Stumvoll, Jean-Claude Tardif, Elena Tremoli, Jaakko Tuomilehto, André G Uitterlinden, Matti Uusitupa, André L M Verbeek, Sita H Vermeulen, Jorma S Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Gérard Waeber, Mark Walker, Henri Wallaschofski, Nicholas J Wareham, Hugh Watkins, Eleftheria Zeggini, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Aravinda Chakravarti, Deborah J Clegg, L Adrienne Cupples, Penny Gordon-Larsen, Cashell E Jaquish, D C Rao, Goncalo R Abecasis, Themistocles L Assimes, Inês Barroso, Sonja I Berndt, Michael Boehnke, Panos Deloukas, Caroline S Fox, Leif C Groop, David J Hunter, Erik Ingelsson, Robert C Kaplan, Mark I McCarthy, Karen L Mohlke, Jeffrey R O'Connell, David Schlessinger, David P Strachan, Kari Stefansson, Cornelia M van Duijn, Joel N Hirschhorn, Cecilia M Lindgren, Iris M Heid, Kari E North, Ingrid B Borecki, Zoltán Kutalik, and Ruth J F Loos
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Genetics ,QH426-470 - Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR
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- 2015
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21. Health-Related Quality of Life in Relation to Obesity Grade, Type 2 Diabetes, Metabolic Syndrome and Inflammation.
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Sandra N Slagter, Jana V van Vliet-Ostaptchouk, André P van Beek, Joost C Keers, Helen L Lutgers, Melanie M van der Klauw, and Bruce H R Wolffenbuttel
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Medicine ,Science - Abstract
Health-related quality of life (HR-QoL) may be compromised in obese individuals, depending on the presence of other complications. The aim of this study is to assess the effect of obesity-related conditions on HR-QoL. These conditions are i) grade of obesity with and without type 2 diabetes (T2D), ii) metabolic syndrome (MetS), and iii) level of inflammation.From the Dutch LifeLines Cohort Study we included 13,686 obese individuals, aged 18-80 years. HR-QoL was measured with the RAND 36-Item Health Survey which encompasses eight health domains. We calculated the percentage of obese individuals with poor HR-QoL, i.e. those scoring below the domain and sex specific cut-off value derived from the normal weight population. Logistic regression analysis was used to calculate the probability of having poor domain scores according to the conditions under study.Higher grades of obesity and the additional presence of T2D were associated with lower HR-QoL, particularly in the domains physical functioning (men: odds ratios (ORs) 1.48-11.34, P
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- 2015
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22. Temporal exposure and consistency of endocrine disrupting chemicals in a longitudinal study of individuals with impaired fasting glucose
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Ido P. Kema, Jana V. van Vliet-Ostaptchouk, Martijn van Faassen, Ming K Chung, Konstantinos C. Makris, Thomas P van der Meer, Bruce H. R. Wolffenbuttel, André P van Beek, Chirag J. Patel, Center for Liver, Digestive and Metabolic Diseases (CLDM), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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medicine.medical_specialty ,Bisphenol A ,Longitudinal study ,SAMPLES ,BIOMARKERS ,Phthalic Acids ,Parabens ,Urine ,Bisphenols ,010501 environmental sciences ,Endocrine Disruptors ,01 natural sciences ,Biochemistry ,Medical and Health Sciences ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Phthalates ,Internal medicine ,medicine ,Endocrine system ,Humans ,030212 general & internal medicine ,Longitudinal Studies ,0105 earth and related environmental sciences ,General Environmental Science ,PROPYL PARABEN ,RISK ,Chemistry ,Phthalate ,NURSES HEALTH ,WOMEN ,Environmental Exposure ,Fasting ,ASSOCIATION ,Impaired fasting glucose ,medicine.disease ,Reproducibility ,Paraben ,BISPHENOL-A ,Endocrinology ,Glucose ,NHANES DATA ,Temporal stability ,Environmental Pollutants ,Clinical Medicine ,URINARY PHTHALATE METABOLITES - Abstract
Endocrine disrupting chemicals (EDCs) include non-persistent exogenous substances such as parabens, bisphenols and phthalates which have been associated with a range of metabolic disorders and disease. It is unclear if exposure remains consistent over time. We investigated change in indicators of EDC exposure between 2009 and 2016 and assessed its consistency between and within individuals over a median follow-up time of 47 months in a sample of Dutch individuals. Of 500 Dutch individuals, two 24 h urine samples were analysed for 5 parabens, 3 bisphenols and 13 metabolites of in total 8 different phthalates. We calculated per-year differences using metaanalysis and assessed temporal correlations between and within individuals using Spearman correlation coefficients, intra-class correlation coefficients (ICC) and kappa-statistics. We found a secular decrease in concentrations of methyl, ethyl, propyl and n-butyl paraben, bisphenol A, and metabolites of di-ethyl phthalate (DEP), di-butyl phthalate (DBP), di-(2-ethyl-hexyl) phthalate (DEHP), and butylbenzyl phthalate (DBzP) which varied from 8 to 96% (ethyl paraben, propyl paraben) between 2009 and 2016. Within-person temporal correlations were highest for parabens (ICC: 0.34 to 0.40) and poorest for bisphenols (ICC: 0.15 to 0.23). For phthalate metabolites, correlations decreased most between time periods (ICC < 48 months: 0.22 to 0.39; >= 48 months: 0.05 to 0.32). When categorizing EDC concentrations, 33-54% of individuals remained in the lowest or highest category and temporal correlations were similar to continuous measurements. Exposure to most EDCs decreased between 2009 and 2016 in a sample of individuals with impaired fasting glucose from the Dutch population. Temporal consistency was generally poor. The inconsistency in disease associations may be influenced by individual-level or temporal variation exhibited by EDCs. Our findings call for the need for repeated measurements of EDCs in observational studies before and during at-risk temporal windows for the disease.
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- 2021
23. The trans-ancestral genomic architecture of glycemic traits
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Albertine J. Oldehinkel, Wieland Kiess, Xueling Sim, Norihiro Kato, Philippe Froguel, Astrid van Hylckama Vlieg, Josée Dupuis, Nanette R. Lee, Symen Ligthart, Harry Campbell, Marta E. Alarcón-Riquelme, P. Eline Slagboom, Massimo Mangino, Tian Xie, Niek Verweij, James B. Meigs, Chaolong Wang, Michael Y. Tsai, Erik Ingelsson, Colin N. A. Palmer, Erik B. van den Akker, Fumihiko Matsuda, Rainer Rauramaa, Yi-Cheng Chang, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Sven Bergmann, Ya X. Wang, Ching-Ti Liu, Annette Schürmann, Michael Boehnke, David J. Porteous, Kazuya Setoh, Qibin Qi, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Claire J. Steves, Jun Liu, Leslie A. Lange, Noël P. Burtt, Diana Kuh, Cassandra N. Spracklen, Ken K. Ong, Charumathi Sabanayagam, Jost B. Jonas, Ele Ferrannini, Lawrence J. Beilin, Qing Duan, Blair H. Smith, Isobel D. Stewart, Alexander P. Reiner, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, E. Shyong Tai, Mark I. McCarthy, Anna L. Gloyn, D.I. Boomsma, Dennis Raven, Nicholas J. Timpson, Rona J. Strawbridge, George Dedoussis, Susan Redline, Jaeyoung Hong, Harald Grallert, Jagadish Vangipurapu, Rico Rueedi, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Johannes Waage, Jin Fang Chai, Yii-Der Ida Chen, Graciela E. Delgado, Thibaud S. Boutin, Yang Hai, Yoriko Heianza, Wei Zhao, Andres Metspalu, Tien Yin Wong, Mila Desi Anasanti, Inger Njølstad, Hans Bisgaard, Valeriya Lyssenko, Denis Rybin, Wanqing Wen, Torben Hansen, James F. Wilson, Sameline Grimsgaard, Annette Peters, Michele K. Evans, Damia Noce, Sarah C. Nelson, May E. Montasser, Nan Wang, Geltrude Mingrone, Gudny Eiriksdottir, Nicholas J. Wareham, Fouad Kandeel, Linda S. Adair, Kelvin Lam, Jaana Lindström, Eco J. C. de Geus, Debbie A Lawlor, Sara M. Willems, Xu Lin, Harold Snieder, Matt J. Neville, Naveed Sattar, Chelsea K. Raulerson, Paul M. Ridker, Jer-Yuarn Wu, Weihua Zhang, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Elena Tremoli, Toru Nabika, Jing Hua Zhao, Vilmundur Gudnason, Tao Huang, Robert C. Kaplan, Sohee Han, Mohammad Hadi Zafarmand, Aaron Leong, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Ivana Kolcic, Franco Giulianini, Tao Wang, Lu Qi, Stephan J. L. Bakker, Laura J Corbin, Zoltán Kutalik, Bruna Gigante, Willa A. Hsueh, Peter J. van der Most, Tin Louie, Yujie Wang, Stella Trompet, Fernando Rivideneira, Yasumasa Ohyagi, Lynne E. Wagenknecht, Jerry L. Nadler, Michael Stumvoll, Mark O. Goodarzi, Sahoko Ichihara, Jeffrey R. O'Connell, Tomohiro Katsuya, Giorgio Pistis, Alice Stanton, Sirkka Keinänen-Kiukaanniemi, Momoko Horikoshi, Honglan Li, Tanja G. M. Vrijkotte, Caroline Hayward, Karen L. Mohlke, Carola Marzi, Girish N. Nadkarni, Laura J. Rasmussen-Torvik, Alain G. Bertoni, Andrew R. Wood, Annique Claringbould, Mi Yeong Hwang, Hugh Watkins, Heikki A. Koistinen, Mattias Frånberg, Jani Heikkinen, Elizabeth Selvin, Donald W. Bowden, Abbas Dehghan, Christian Fuchsberger, Audrey Y. Chu, Kent D. Taylor, Katherine A. Kentistou, Johanna Kuusisto, Jingyi Tan, Huaixing Li, Eric Boerwinkle, Catharina A. Hartman, Archie Campbell, Kari E. North, Oluf Pedersen, Sölve Elmståhl, Emil V. R. Appel, Chang-Hsun Hsieh, Dennis O. Mook-Kanamori, Rob M. van Dam, Pontiano Kaleebu, Corri Black, Jennifer A. Brody, Bengt Sennblad, Shaofeng Huo, M. Larissa Avilés-Santa, Ruth J. F. Loos, Patricia B. Munroe, Chien-Hsiun Chen, Liang Sun, Zorayr Arzumanyan, Rebecca Rohde, Yasuharu Tabara, Albert V. Smith, Betina H. Thuesen, Niels Grarup, Jorgen Engmann, Tatijana Zemunik, M. Arfan Ikram, Marit E. Jørgensen, Christian Herder, Ching-Yu Cheng, Serena Sanna, Damiano Baldassarre, Tarunveer S. Ahluwalia, Mark J. Caulfield, Anne Ndungu, Carl D. Langefeld, Lisa R. Yanek, Luigi Ferrucci, Ananda R. Wickremasinghe, Raymond Noordam, Trevor A. Mori, Tom Wilsgaard, Mika Kivimäki, Rita R. Kalyani, Alan B. Zonderman, Veronique Vitart, Patricia A. Peyser, Shuiqing Lai, Richa Saxena, Li-Ching Chang, Karin Leander, Wei Huang, Peter Vollenweider, Tanya M. Teslovich, Ying Wu, Shufa Du, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Stephen C. J. Parker, Tamar Sofer, Winfried März, Sharon L.R. Kardia, Peter K. Joshi, Neil R. Robertson, Anny H. Xiang, Fumihiko Takeuchi, N. Amin, Jouke-Jan Hottenga, Carol A. Wang, Stefan Gustafsson, Jung Ho Gong, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Gonneke Willemsen, Michael A. Province, Aliki-Eleni Farmaki, Segun Fatumo, Antje Körner, Pim van der Harst, Marie Loh, Kei Hang Katie Chan, Gonçalo R. Abecasis, Nicholette D. Palmer, Simin Liu, Ishminder K. Kooner, Javier Gayán, Arne Astrup, Laura J. Scott, Erwin P. Bottinger, Andrew Wong, Inga Prokopenko, Ping An, Markku Laakso, Matthias Blüher, Susan R. Heckbert, Thomas A. Buchanan, Tatsuaki Matsubara, Andrew P. Morris, Brian H. Chen, Kristi Läll, Teresa Tusie, Timo A. Lakka, Jie Yao, Michael Preuss, Teemu Kuulasmaa, Carlos Lorenzo, Stephen S. Rich, Marie Lauzon, Laura M. Raffield, Pankow S. James, Takahisa Kawaguchi, Kathleen A. Ryan, Wei Zheng, Igor Rudan, Thomas Sparsø, Hugoline G. de Haan, Sandosh Padmanabhan, Richard M. Watanabe, Alicia Huerta-Chagoya, Anette P. Gjesing, Andrew A. Hicks, Richard N. Bergman, Mitsuhiro Yokota, Heather M. Stringham, Bruce M. Psaty, Jian'an Luan, Anuj Goel, Eleanor Wheeler, Masahiro Nakatochi, Young-Jin Kim, Xiao-Ou Shu, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Mari Nelis, Adolfo Correa, Jaspal S. Kooner, Michiya Igase, Anubha Mahajan, Peter E. H. Schwarz, Craig E. Pennell, Claudia Schurmann, Xiaoran Chai, Ji Chen, Lori L. Bonnycastle, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Ilja M. Nolte, Gaëlle Marenne, Timothy M. Frayling, Bong-Jo Kim, Kerrin S. Small, Cecilia M. Lindgren, Bernhard O. Böhm, Shih-Yi Lin, Katharina E. Schraut, Cornelia M. van Duijn, Sanghoon Moon, Mark Walker, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Ko Willems van Dijk, Ozren Polasek, W. Craig Johnson, Dermot F. Reilly, Inês Barroso, Anke Tönjes, Manjinder S. Sandhu, Wen B. Wei, Jose C. Florez, Lorraine Southam, Leif Groop, Lawrence F. Bielak, Peter Kovacs, Jianjun Liu, Jouko Saramies, Helen R. Warren, Man Li, Daniel I. Chasman, Eleftheria Zeggini, Xiaoshuai Zhang, Loic Yengo, Shi Jinxiu, Jirong Long, Xiuqing Guo, Meena Kumari, Leslie J. Raffel, Jill M. Norris, Henrik Vestergaard, Jing He, Peter P. Pramstaller, Diana van Heemst, Kevin Sandow, Marjo-Ritta Jarvelin, Carlos A. Aguilar-Salinas, Peitao Wu, Hortensia Moreno-Macías, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Bernardo L. Horta, Heming Wang, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Rozenn N. Lemaitre, Paul R. H. J. Timmers, Timo Saaristo, Jaakko Tuomilehto, Reedik Mägi, Debashree Ray, J. Wouter Jukema, Claudia Langenberg, Marcus E. Kleber, Francis S. Collins, Klaus Bønnelykke, Lenore J. Launer, Arushi Varshney, Anders Hamsten, European Commission, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Sanger Institute, Wellcome Trust, Marenne, Gaëlle [0000-0002-4363-7170], Varshney, Arushi [0000-0001-9177-9707], Corbin, Laura J [0000-0002-4032-9500], Parker, Stephen CJ [0000-0001-8122-0117], Langenberg, Claudia [0000-0002-5017-7344], Wheeler, Eleanor [0000-0002-8616-6444], Morris, Andrew P [0000-0002-6805-6014], Barroso, Inês [0000-0001-5800-4520], Apollo - University of Cambridge Repository, Lifelines Cohort Study, Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC), de Haan, H.G., van den Akker, E., van der Most, P.J., de Geus, EJC, van Dam, R.M., van Heemst, D., van Hylckama Vlieg, A., van Willems van Dijk, K., de Silva, H.J., van der Harst, P., van Duijn, C., Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Leif Groop Research Group, HUS Internal Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry and Developmental Biology, Helsinki University Hospital Area, University of Helsinki, Clinicum, Department of Public Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Physiology, AMS - Musculoskeletal Health, AMS - Tissue Function & Regeneration, APH - Mental Health, Nutrition and Health, APH - Methodology, Epidemiology and Data Science, ACS - Atherosclerosis & ischemic syndromes, APH - Aging & Later Life, ARD - Amsterdam Reproduction and Development, Public and occupational health, Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Cardiovascular Centre (CVC)
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Blood Glucose ,Disease risk ,Multifactorial Inheritance ,Glycated Hemoglobin A ,[SDV]Life Sciences [q-bio] ,Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC) ,LOCI ,Genome-wide association study ,Type 2 diabetes ,VARIANTS ,GLUCOSE ,Epigenesis, Genetic ,chemistry.chemical_compound ,0302 clinical medicine ,Mechanisms ,WIDE ASSOCIATION ,genetics ,Gene-expression ,HEMOGLOBIN ,ComputingMilieux_MISCELLANEOUS ,11 Medical and Health Sciences ,GENE-EXPRESSION ,Genetics ,Genetics & Heredity ,0303 health sciences ,INSULIN-RESISTANCE ,Genome ,Loci ,1184 Genetics, developmental biology, physiology ,Variants ,ALSPAC ,Physical Chromosome Mapping ,Life Sciences & Biomedicine ,Human ,Quantitative Trait Loci ,Wide association study ,Biology ,Quantitative trait locus ,Article ,White People ,diseases ,MECHANISMS ,Quantitative Trait ,03 medical and health sciences ,Insulin resistance ,Quantitative Trait, Heritable ,SDG 3 - Good Health and Well-being ,Genetic ,Lifelines Cohort Study ,Diabetes mellitus ,medicine ,Humans ,Hemoglobin ,Heritable ,METAANALYSIS ,Alleles ,030304 developmental biology ,Genetic association ,Glycemic ,Glycated Hemoglobin ,Science & Technology ,Genome, Human ,Whites ,Gene Expression Profiling ,DISEASE RISK ,Settore MED/13 - ENDOCRINOLOGIA ,Insulin-resistance ,06 Biological Sciences ,medicine.disease ,Glucose ,chemistry ,Blood Glucose/genetics ,European Continental Ancestry Group/genetics ,Genome-Wide Association Study ,Glycated Hemoglobin A/metabolism ,Multifactorial Inheritance/genetics ,Quantitative Trait Loci/genetics ,Glycated hemoglobin ,030217 neurology & neurosurgery ,Meta analysis ,Epigenesis ,Developmental Biology - Abstract
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.
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- 2021
24. Endocrine disrupting chemicals during diet-induced weight loss - A post-hoc analysis of the LOWER study
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André P van Beek, Bruce H. R. Wolffenbuttel, Frank N. R. van Berkum, Martijn van Faassen, Harold Snieder, Chris H. L. Thio, Jana V. van Vliet-Ostaptchouk, Konstantinos C. Makris, Ido P. Kema, Thomas P van der Meer, Center for Liver, Digestive and Metabolic Diseases (CLDM), Life Course Epidemiology (LCE), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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Adipose tissue ,CHILDREN ,Urine ,010501 environmental sciences ,Overweight ,Endocrine Disruptors ,Medical and Health Sciences ,01 natural sciences ,Biochemistry ,Body fat percentage ,chemistry.chemical_compound ,0302 clinical medicine ,Weight loss ,Tandem Mass Spectrometry ,Medicine ,030212 general & internal medicine ,Endocrine disrupting chemicals ,General Environmental Science ,Netherlands ,INSULIN-RESISTANCE ,EXCRETION ,Obesogenic ,Phthalate ,HUMANS ,Paraben ,Environmental Pollutants ,medicine.symptom ,URINARY PHTHALATE METABOLITES ,medicine.medical_specialty ,BODY BURDEN ,Diet-induced weight loss ,Phthalic Acids ,Intervention ,03 medical and health sciences ,Internal medicine ,PARABENS ,Weight Loss ,Obesity ,EXPOSURE ,Life Style ,0105 earth and related environmental sciences ,business.industry ,Environmental Exposure ,medicine.disease ,NONPERSISTENT ENVIRONMENTAL CHEMICALS ,Diet ,BISPHENOL-A ,Endocrinology ,chemistry ,Clinical Medicine ,business ,Chromatography, Liquid - Abstract
The link between exposure to endocrine disrupting chemicals (EDCs) and the rapid increase in prevalence of obesity has recently been suggested. However, the magnitude and health impact of EDC exposure in at-risk populations remain largely unclear. In this study, we investigated the effect of a dietary intervention driven reduction in adipose tissue on the magnitude of urinary EDC exposure and mobilization, and whether higher EDC exposure leads to impaired weight loss in obese individuals. In this post-hoc analysis of the Lifestyle, OverWeight, Energy Restriction (LOWER) study from the Netherlands, 218 subjects were included. Five parabens, three bisphenols and thirteen metabolites of eight phthalates were measured in 24-h urine using LC-MS/MS, before and after three-months of a calory-restricted weight reduction intervention program. Associations between adiposity-related traits and EDCs were tested using multivariable linear regression and linear mixed effects models. A multiple testing correction based on the false discovery rate (FDR) was applied. After the 3-month intervention, urinary paraben and bisphenol excretions remained similar. Excretions of mono-butyl phthalates and most high-molecular-weight phthalates decreased, whereas mono-ethyl phthalate increased (all FDR
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- 2021
25. The Trans-Ancestral Genomic Architecture of Glycaemic Traits
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Hugoline G. de Haan, Andrew A. Hicks, Achilleas Pitsilides, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Anders Hamsten, Dennis O. Mook-Kanamori, Zorayr Arzumanyan, Betina H. Thuesen, Karin Leander, Fernando Rivideneira, Lynne E. Wagenknecht, Andrew R. Wood, Annique Claringbould, Ele Ferranni, Sölve Elmståhl, Eleanor Wheeler, Sharon L.R. Kardia, Richa Saxena, Tatijana Zemunik, Cassandra N. Spracklen, Ken K. Ong, Xiao-Ou Shu, Johannes Waage, Blair H. Smith, Rozenn N. Lemaitre, Torben Hansen, Peter K. Joshi, Lisa R. Yanek, Neil R. Robertson, Sven Bergmann, Mila Desi Anasanti, Inger Njølstad, Ananda R. Wickremasinghe, Xu Lin, Harold Snieder, Wanqing Wen, Veronique Vitart, Paul R. H. J. Timmers, Timo Saaristo, James F. Wilson, Tian Xie, Tao Huang, Rainer Rauramaa, Kei Hang, Rebecca Rohde, Li-Ching Chang, Jing Hua Zhao, Kazuya Setoh, Yasuharu Tabara, Michael Stumvoll, Mark O. Goodarzi, Igor Rudan, James B. Meigs, Jaakko Tuomilehto, Richard M. Watanabe, Ruth J. F. Loos, Reedik Mägi, Jouke-Jan Hottenga, Ozren Polasek, Michael Y. Tsai, Donald W. Bowden, Diana Kuh, Erik B. van den Akker, Yii-Der Ida Chen, Daniel I. Chasman, Weihua Zhang, Nicholette D. Palmer, Marcus E. Kleber, Anny H. Xiang, Chang-Hsun Hsieh, Alan B. Zonderman, Stefan Gustafsson, Timo A. Lakka, Brian H. Chen, Dermot F. Reilly, Francis S. Collins, Oluf Pedersen, Corri Black, Yang Hai, Zoltán Kutalik, Yoriko Heianza, Willa A. Hsueh, Vilmundur Gudnason, Robert C. Kaplan, Jun Liu, Michael A. Province, Aliki-Eleni Farmaki, Stephen S. Rich, Jian'an Luan, Erik Ingelsson, Marie Loh, Michael Preuss, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Colin N. A. Palmer, Fumihiko Matsuda, Takahisa Kawaguchi, Sohee Han, Ching-Ti Liu, Young-Jin Kim, L. Southam, Sara M. Willems, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Stephan J. L. Bakker, Momoko Horikoshi, Tarunveer S. Ahluwalia, Annette Schürmann, Graciela E. Delgado, Thibaud S. Boutin, Thomas Sparsø, Sandosh Padmanabhan, Fouad Kandeel, Eco J. C. de Geus, Anubha Mahajan, Claudia Schurmann, Klaus Bønnelykke, Leslie A. Lange, Qing Duan, Rona J. Strawbridge, Dennis Raven, Gonçalo R. Abecasis, Mitsuhiro Yokota, Jani Heikkinen, Elizabeth Selvin, Audrey Y. Chu, Anke Tönjes, Marta E. Alarcón-Riquelme, Hans Bisgaard, P. Eline Slagboom, Eric Boerwinkle, Massimo Mangino, Catharina A. Hartman, Geltrude Mingrone, Lenore J. Launer, Michael Boehnke, Emil V. R. Appel, Niels Grarup, Arushi Varshney, Archie Campbell, Kari E. North, W. Craig Johnson, Inês Barroso, Ya X. Wang, Carola Marzi, Anuj Goel, Eleftheria Zeggini, Lu Qi, Yasumasa Ohyagi, Tien Yin Wong, Tanja G. M. Vrijkotte, Gudny Eiriksdottir, Harald Grallert, Ishminder K. Kooner, Trevor A. Mori, Jagadish Vangipurapu, Laura J Corbin, Tomohiro Katsuya, Wen B. Wei, Segun Fatumo, Debashree Ray, Annette Peters, Lori L. Bonnycastle, Ilja M. Nolte, M. Arfan Ikram, Manjinder S. Sandhu, Marit E. Jørgensen, Christian Herder, Damia Noce, Sarah C. Nelson, Chien-Hsiun Chen, Heather M. Stringham, Yong-Bing Xiang, Bruce M. Psaty, Alain G. Bertoni, Gaëlle Marenne, Timothy M. Frayling, Jose C. Florez, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Damiano Baldassarre, J. Wouter Jukema, Wei Huang, Yi-Cheng Chang, Albertine J. Oldehinkel, Xiaoshuai Zhang, Yujie Wang, Shaofeng Huo, Xueling Sim, Norihiro Kato, Bernhard O. Böhm, Lorraine Southam, Mari Nelis, Gonneke Willemsen, Laura J. Rasmussen-Torvik, Philippe Froguel, Charumathi Sabanayagam, Leif Groop, Loic Yengo, Shi Jinxiu, Adolfo Correa, Serena Sanna, Arne Astrup, Teemu Kuulasmaa, Symen Ligthart, Shih-Yi Lin, David J. Porteous, Harry Campbell, Peter Vollenweider, Mark J. Caulfield, Kristi Läll, Anne Ndungu, Carl D. Langefeld, Tanya M. Teslovich, Heikki A. Koistinen, Ying Wu, Mattias Frånberg, D.I. Boomsma, Lawrence F. Bielak, Diana van Heemst, Peter Kovacs, Markku Laakso, Leslie J. Raffel, Katharina E. Schraut, Noël P. Burtt, Michiya Igase, Craig E. Pennell, Claudia Langenberg, Huaixing Li, Teresa Tusie, Laura M. Raffield, Jorgen Engmann, Stephen C. J. Parker, Michele K. Evans, Chaolong Wang, Rico Rueedi, Jianjun Liu, Pankow S. James, Hortensia Moreno-Macías, Fumihiko Takeuchi, Cornelia M. van Duijn, Sanghoon Moon, Susan R. Heckbert, Thomas A. Buchanan, Ko Willems van Dijk, Toru Nabika, May E. Montasser, Caroline Hayward, Jie Yao, Aaron Leong, Antje Körner, Jouko Saramies, Jost B. Jonas, Pim van der Harst, Naveed Sattar, Helen R. Warren, Alice Stanton, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Mi Yeong Hwang, Jin Fang Chai, Alicia Huerta-Chagoya, Anette P. Gjesing, Ching-Yu Cheng, Debbie A Lawlor, Simin Liu, Man Li, Ivana Kolcic, Erwin P. Bottinger, Andrew Wong, Stella Trompet, Heming Wang, Jirong Long, Xiuqing Guo, Jeffrey R. O'Connell, Meena Kumari, Sirkka Keinänen-Kiukaanniemi, Rita R. Kalyani, Bengt Sennblad, Mohammad Hadi Zafarmand, Kent D. Taylor, Katherine A. Kentistou, Carol A. Wang, Shuiqing Lai, Patricia B. Munroe, Patricia A. Peyser, Lawrence J. Beilin, Niek Verweij, Inga Prokopenko, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Ping An, Matthias Blüher, Isobel D. Stewart, Alexander P. Reiner, Anna L. Gloyn, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, Wei Zhao, Andres Metspalu, Wieland Kiess, Kathleen A. Ryan, Astrid van Hylckama Vlieg, Jaana Lindström, Wei Zheng, E. Shyong Tai, Josée Dupuis, Nanette R. Lee, Laura J. Scott, Nicholas J. Timpson, George Dedoussis, Mark I. McCarthy, Tatsuaki Matsubara, Carlos Lorenzo, Denis Rybin, Luigi Ferruci, Chelsea K. Raulerson, Mika Kivimäki, Paul M. Ridker, Jer-Yuarn Wu, Shufa Du, Jaeyoung Hong, Linda S. Adair, Tin Louie, Valeriya Lyssenko, Susan Redline, Kelvin Lam, Qibin Qi, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Sahoko Ichihara, Nicholas J. Wareham, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Rob M. van Dam, Claire J. Steves, Liang Sun, Albert V. Smith, Raymond Noordam, Tom Wilsgaard, Winfried März, Jung Ho Gong, Matt J. Neville, Jerry L. Nadler, Giorgio Pistis, Karen L. Mohlke, Bruna Gigante, Jennifer A. Brody, Andrew P. Morris, Marie Lauzon, Peter E. H. Schwarz, Bernardo L. Horta, Xiaoran Chai, Ji Chen, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Javier Gayán, Elena Tremoli, Girish N. Nadkarni, Najaf Amin, Hugh Watkins, Johanna Kuusisto, Jingyi Tan, Sameline Grimsgaard, Bong-Jo Kim, Kerrin S. Small, Jill M. Norris, Cecilia M. Lindgren, Richard N. Bergman, Mark Walker, Henrik Vestergaard, Larissa Aviles-Santa, Jing He, Masahiro Nakatochi, Peter P. Pramstaller, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Kevin Sandow, Jaspal S. Kooner, Carlos A. Aguilar-Salinas, Peitao Wu, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Nan Wang, Franco Giulianini, Tao Wang, Honglan Li, Abbas Dehghan, Christian Fuchsberger, and Pontiano Kaleebu
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0303 health sciences ,medicine.medical_specialty ,business.industry ,Type 2 diabetes ,medicine.disease ,Fasting insulin ,Fasting glucose ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Internal medicine ,Diabetes mellitus ,medicine ,Genomic architecture ,business ,Glycated haemoglobin ,030217 neurology & neurosurgery ,030304 developmental biology ,Genetic association - Abstract
Glycaemic traits are used to diagnose and monitor type 2 diabetes, and cardiometabolic health. To date, most genetic studies of glycaemic traits have focused on individuals of European ancestry. Here, we aggregated genome-wide association studies in up to 281,416 individuals without diabetes (30% non-European ancestry) with fasting glucose, 2h-glucose post-challenge, glycated haemoglobin, and fasting insulin data. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% with no significant evidence of between-ancestry heterogeneity. Analyses restricted to European ancestry individuals with equivalent sample size would have led to 24 fewer new loci. Compared to single-ancestry, equivalent sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.
- Published
- 2020
26. An epigenome-wide association study identifies multiple DNA methylation markers of exposure to endocrine disruptors
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Xia Huo, Xueling Lu, Harold Snieder, Ido P. Kema, Eliza Fraszczyk, Lude Franke, Vincent W. Bloks, André P van Beek, Thomas P van der Meer, Shuang Li, Bruce H. R. Wolffenbuttel, Xijin Xu, Jana V. van Vliet-Ostaptchouk, Martijn van Faassen, Harm-Jan Westra, Lifestyle Medicine (LM), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), and Life Course Epidemiology (LCE)
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Epigenomics ,010504 meteorology & atmospheric sciences ,010501 environmental sciences ,Biology ,Endocrine Disruptors ,01 natural sciences ,Epigenesis, Genetic ,Epigenome ,Epigenome-wide association study ,Gene expression ,Endocrine system ,Humans ,Epigenetics ,lcsh:Environmental sciences ,0105 earth and related environmental sciences ,General Environmental Science ,Genetics ,lcsh:GE1-350 ,Metabolic trait ,Mechanism (biology) ,Methylation ,DNA Methylation ,Human exposure ,Endocrine disruptor ,Diabetes Mellitus, Type 2 ,DNA methylation ,Genome-Wide Association Study - Abstract
Background: Exposure to environmental endocrine disrupting chemicals (EDCs) may play an important role in the epidemic of metabolic diseases. Epigenetic alterations may functionally link EDCs with gene expression and metabolic traits. Objectives: We aimed to evaluate metabolic-related effects of the exposure to endocrine disruptors including five parabens, three bisphenols, and 13 metabolites of nine phthalates as measured in 24-hour urine on epigenome-wide DNA methylation. Methods: A blood-based epigenome-wide association study was performed in 622 participants from the Lifelines DEEP cohort using Illumina Infinium HumanMethylation450 methylation data and EDC excretions in 24-hour urine. Out of the 21 EDCs, 13 compounds were detected in >75% of the samples and, together with bisphenol F, were included in these analyses. Furthermore, we explored the putative function of identified methylation markers and their correlations with metabolic traits. Results: We found 20 differentially methylated cytosine-phosphate-guanines (CpGs) associated with 10 EDCs at suggestive p-value < 1 × 10−6, of which four, associated with MEHP and MEHHP, were genome-wide significant (Bonferroni-corrected p-value < 1.19 × 10−7). Nine out of 20 CpGs were significantly associated with at least one of the tested metabolic traits, such as fasting glucose, glycated hemoglobin, blood lipids, and/or blood pressure. 18 out of 20 EDC-associated CpGs were annotated to genes functionally related to metabolic syndrome, hypertension, obesity, type 2 diabetes, insulin resistance and glycemic traits. Conclusions: The identified DNA methylation markers for exposure to the most common EDCs provide suggestive mechanism underlying the contributions of EDCs to metabolic health. Follow-up studies are needed to unravel the causality of EDC-induced methylation changes in metabolic alterations.
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- 2020
27. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
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Fumiaki Imamura, George Davey Smith, Chanwook Lee, Nicholas J. Wareham, M. Arfan Ikram, George McMahon, Aysu Okbay, Frank J. A. van Rooij, Peter Bowers, Carson C. Chow, Patrick Turley, Ronald de Vlaming, Jian'an Luan, Oscar H. Franco, Trudy Voortman, Daniel J. Benjamin, André G. Uitterlinden, Casper A.P. Burik, Nita G. Forouhi, K. Paige Harden, Pauline M Emmett, Cornelius A. Rietveld, Juan R. González, Bruce H. R. Wolffenbuttel, Philipp Koellinger, Mark Alan Fontana, James J. Lee, David Cesarini, Harold Snieder, Kim Valeska Emilie Braun, Emma L Anderson, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Richard Karlsson Linnér, Susan M. Ring, Claudia Langenberg, Tonũ Esko, Fernando Rivadeneira, Kaitlin H Wade, Jessica C. Kiefte-de Jong, Taulant Muka, Mohsen Ghanbari, S. Fleur W. Meddens, Linnér, Richard Karlsson [0000-0001-7839-2858], Okbay, Aysu [0000-0002-5170-7781], Rietveld, Cornelius A [0000-0003-4053-1861], Ghanbari, Mohsen [0000-0002-9476-7143], Imamura, Fumiaki [0000-0002-6841-8396], van der Most, Peter J [0000-0001-8450-3518], Voortman, Trudy [0000-0003-2830-6813], Wade, Kaitlin H [0000-0003-3362-6280], Braun, Kim VE [0000-0001-8738-4139], Gonzalez, Juan R [0000-0003-3267-2146], Kiefte-de Jong, Jessica C [0000-0002-8136-0918], Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Ring, Susan [0000-0003-3103-9330], Rivadeneira, Fernando [0000-0001-9435-9441], Snieder, Harold [0000-0003-1949-2298], van Rooij, Frank JA [0000-0002-8600-9852], Smith, George Davey [0000-0002-1407-8314], Forouhi, Nita G [0000-0002-5041-248X], Ikram, M Arfan [0000-0003-0372-8585], Uitterlinden, Andre G [0000-0002-7276-3387], van Vliet-Ostaptchouk, Jana V [0000-0002-7943-3153], Lee, James J [0000-0001-6547-5128], Benjamin, Daniel J [0000-0002-2642-5416], Apollo - University of Cambridge Repository, Rietveld, Cornelius A. [0000-0003-4053-1861], van der Most, Peter J. [0000-0001-8450-3518], Wade, Kaitlin H. [0000-0003-3362-6280], Braun, Kim V. E. [0000-0001-8738-4139], Gonzalez, Juan R. [0000-0003-3267-2146], Kiefte-de Jong, Jessica C. [0000-0002-8136-0918], Luan, Jian’an [0000-0003-3137-6337], van Rooij, Frank J. A. [0000-0002-8600-9852], Forouhi, Nita G. [0000-0002-5041-248X], Ikram, M. Arfan [0000-0003-0372-8585], Uitterlinden, Andre G. [0000-0002-7276-3387], van Vliet-Ostaptchouk, Jana V. [0000-0002-7943-3153], Lee, James J. [0000-0001-6547-5128], Benjamin, Daniel J. [0000-0002-2642-5416], Applied Economics, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Economics, and Amsterdam Neuroscience - Complex Trait Genetics
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0301 basic medicine ,BETA-KLOTHO ,PROTEIN-INTAKE ,LD SCORE REGRESSION ,Diseases ,Genome-wide association study ,Type 2 diabetes ,METABOLIC-ACTIVITY ,OBESITY RISK ,Cardiovascular ,Medical and Health Sciences ,CHAIN AMINO-ACIDS ,Body Mass Index ,631/208 ,0302 clinical medicine ,2.1 Biological and endogenous factors ,WIDE ASSOCIATION ,SOCIOECONOMIC-STATUS ,030212 general & internal medicine ,Aetiology ,Psychiatry ,2. Zero hunger ,Genetics ,692/699 ,Diabetes ,article ,Genomics ,Biological Sciences ,SDG 11 - Sustainable Cities and Communities ,3. Good health ,Psychiatry and Mental health ,SDG 1 - No Poverty ,Type 2 ,WEIGHT-LOSS ,Single-nucleotide polymorphism ,Biology ,23andMe Research Team ,Genetic correlation ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Lifelines Cohort Study ,Behavioral and Social Science ,Diabetes Mellitus ,medicine ,Humans ,Obesity ,Molecular Biology ,Life Style ,Metabolic and endocrine ,Nutrition ,Genetic association ,EPIC- InterAct Consortium ,Prevention ,Human Genome ,Psychology and Cognitive Sciences ,medicine.disease ,Genetic architecture ,Diet ,BODY-MASS INDEX ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Body mass index ,Genome-Wide Association Study - Abstract
We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10-8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10-5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1-0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction. This research was carried out under the auspices of the Social Science Genetic Association Consortium (SSGAC, https://www.thessgac.org/). The research has also been conducted using the UK Biobank Resource under Application Number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15), the Swedish Research Council (421-2013-1061), The Jan Wallander and Tom Hedelius Foundation, an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe), the Pershing Square Fund of the Foundations of Human Behavior, The Open Philanthropy Project (2016-152872, 010623-00001), and the NIA/NIH through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to NBER, and R01-AG042568-02 and R56-AG042568-04 to the University of Southern California. CCC was supported by the Intramural Research Program of the NIH/NIDDK and thanks Kevin Hall for informative discussions. PME was funded by Nestlé Nutrition. We thank the DietGen and CHARGE consortia for sharing diet-composition GWAS summary statistics, and we thank 23andMe, Inc., for sharing physical activity GWAS summary statistics. A full list of acknowledgements is provided in Supplementary Information 13.
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- 2020
28. The effects of bariatric surgery on clinical profile, DNA methylation, and ageing in severely obese patients
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Vincent W. Bloks, Ana B. Crujeiras, Eliza Fraszczyk, Mirjam Luijten, Jan Greve, Sander S. Rensen, Paul F.K. Wackers, Annemieke M.W. Spijkerman, Wim A. Buurman, Harold Snieder, Jana V. van Vliet-Ostaptchouk, Carla Barbosa Nonino, Carolina Ferreira Nicoletti, Bruce H. R. Wolffenbuttel, Surgery, RS: NUTRIM - R2 - Liver and digestive health, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Male ,Aging ,Epigenetic clock ,medicine.medical_treatment ,Biological age ,Type 2 diabetes ,Epigenesis, Genetic ,Morbid obesity ,0302 clinical medicine ,Weight loss ,Medicine ,WIDE ASSOCIATION ,ÍNDICE DE MASSA CORPORAL ,Genetics (clinical) ,GENE-EXPRESSION ,2. Zero hunger ,RISK ,0303 health sciences ,OUTCOMES ,DNA methylation ,Middle Aged ,3. Good health ,Obesity, Morbid ,ADIPOSE-TISSUE ,030220 oncology & carcinogenesis ,Female ,Epigenetics ,LIFE-STYLE ,medicine.symptom ,Adult ,medicine.medical_specialty ,MECHANISMS ,03 medical and health sciences ,AGE ,Genetics ,Epigenetic Profile ,MANAGEMENT ,Humans ,Obesity ,Molecular Biology ,030304 developmental biology ,EWAS ,Bariatric surgery ,business.industry ,Insulin ,Research ,medicine.disease ,Surgery ,Ageing ,CpG Islands ,WEIGHT ,business ,Developmental Biology - Abstract
Background Severe obesity is a growing, worldwide burden and conventional therapies including radical change of diet and/or increased physical activity have limited results. Bariatric surgery has been proposed as an alternative therapy showing promising results. It leads to substantial weight loss and improvement of comorbidities such as type 2 diabetes. Increased adiposity is associated with changes in epigenetic profile, including DNA methylation. We investigated the effect of bariatric surgery on clinical profile, DNA methylation, and biological age estimated using Horvath’s epigenetic clock. Results To determine the impact of bariatric surgery and subsequent weight loss on clinical traits, a cohort of 40 severely obese individuals (BMI = 30–73 kg/m2) was examined at the time of surgery and at three follow-up visits, i.e., 3, 6, and 12 months after surgery. The majority of the individuals were women (65%) and the mean age at surgery was 45.1 ± 8.1 years. We observed a significant decrease over time in BMI, fasting glucose, HbA1c, HOMA-IR, insulin, total cholesterol, triglycerides, LDL and free fatty acids levels, and a significant small increase in HDL levels (all p values < 0.05). Epigenome-wide association analysis revealed 4857 differentially methylated CpG sites 12 months after surgery (at Bonferroni-corrected p value < 1.09 × 10−7). Including BMI change in the model decreased the number of significantly differentially methylated CpG sites by 51%. Gene set enrichment analysis identified overrepresentation of multiple processes including regulation of transcription, RNA metabolic, and biosynthetic processes in the cell. Bariatric surgery in severely obese patients resulted in a decrease in both biological age and epigenetic age acceleration (EAA) (mean = − 0.92, p value = 0.039). Conclusions Our study shows that bariatric surgery leads to substantial BMI decrease and improvement of clinical outcomes observed 12 months after surgery. These changes explained part of the association between bariatric surgery and DNA methylation. We also observed a small, but significant improvement of biological age. These epigenetic changes may be modifiable by environmental lifestyle factors and could be used as potential biomarkers for obesity and in the future for obesity related comorbidities.
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- 2020
29. Exposure to Endocrine Disrupting Chemicals in the Dutch general population is associated with adiposity-related traits
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Bruce H. R. Wolffenbuttel, Ido P. Kema, André P van Beek, Martijn van Faassen, Harold Snieder, Thomas P van der Meer, Jana V. van Vliet-Ostaptchouk, Center for Liver, Digestive and Metabolic Diseases (CLDM), Life Course Epidemiology (LCE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), and Lifestyle Medicine (LM)
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0301 basic medicine ,Male ,Physiology ,lcsh:Medicine ,010501 environmental sciences ,Endocrine Disruptors ,01 natural sciences ,Cohort Studies ,Environmental impact ,chemistry.chemical_compound ,Prospective cohort study ,lcsh:Science ,DUISBURG BIRTH COHORT ,Adiposity ,Netherlands ,INSULIN-RESISTANCE ,EXCRETION ,education.field_of_study ,Multidisciplinary ,Phthalate ,ENVIRONMENTAL CHEMICALS ,Middle Aged ,Metabolic syndrome ,TEMPORAL TRENDS ,Cohort ,Female ,URINARY PHTHALATE METABOLITES ,Waist Circumference ,BISPHENOL-A CONCENTRATION ,PREGNANT-WOMEN ,Cohort study ,Adult ,Waist ,Population ,Phthalic Acids ,Parabens ,MOTHER-CHILD-PAIRS ,Article ,03 medical and health sciences ,Insulin resistance ,Phenols ,Diabetes mellitus ,medicine ,Humans ,Obesity ,education ,Triglycerides ,0105 earth and related environmental sciences ,business.industry ,030111 toxicology ,lcsh:R ,Environmental Exposure ,medicine.disease ,chemistry ,lcsh:Q ,business - Abstract
Endocrine Disrupting Chemicals (EDCs) have been linked to a variety of cardiometabolic diseases. Yet, few studies have investigated the exposure to EDCs and cardiometabolic health taking lifestyle into account. We aimed to assess exposure to five parabens, three bisphenols and thirteen metabolites of in total eight phthalates in a general Dutch population and to investigate their association with cardiometabolic traits. In 662 adult subjects from the population-based Lifelines cohort, 21 EDC analytes were measured in 24-hour urine collected in 2012, using LC-MS/MS. Association analyses between cardiometabolic traits and EDC concentrations were performed using multivariate linear models adjusting for age, sex, education, smoking, diabetes, physical activity and caloric intake. Quartile analyses were performed to assess linearity. Bisphenol A, four parabens and eight phthalate metabolites were detected in 84-100% of the samples. Adjusted associations for MiBP and MBzP and adiposity-related traits were robust for multiple testing (Beta’s, BMI: 1.12, 2.52; waist circumference: 0.64, 1.56, respectively; FDR
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- 2019
30. DNA methylation markers associated with type 2 diabetes, fasting glucose and HbA1c levels: a systematic review and replication in a case–control sample of the Lifelines study
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Harold Snieder, Jana V. van Vliet-Ostaptchouk, Helen L. Lutgers, Annemieke M.W. Spijkerman, Bruce H. R. Wolffenbuttel, Marc Jan Bonder, Mirjam Luijten, and Eliza Walaszczyk
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0301 basic medicine ,Oncology ,Blood Glucose ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,LOCI ,Type 2 diabetes ,Epigenesis, Genetic ,MELLITUS ,0302 clinical medicine ,Medicine ,EPIGENETIC REGULATION ,Prospective cohort study ,GENE-EXPRESSION ,Whole blood ,Epigenome-wide association studies ,DNA methylation ,Glycated haemoglobin ,Fasting ,INSULIN ,3. Good health ,ADIPOSE-TISSUE ,medicine.medical_specialty ,030209 endocrinology & metabolism ,PERIPHERAL-BLOOD ,Article ,03 medical and health sciences ,Internal medicine ,Internal Medicine ,Humans ,Epigenetics ,Genetic association ,EPIGENOME-WIDE ASSOCIATION ,Glycated Hemoglobin ,business.industry ,Insulin ,PANCREATIC-ISLETS ,medicine.disease ,BODY-MASS INDEX ,030104 developmental biology ,Endocrinology ,Glucose ,Diabetes Mellitus, Type 2 ,Systematic review ,CpG Islands ,business ,Body mass index ,Genome-Wide Association Study - Abstract
Aims/hypothesis Epigenetic mechanisms may play an important role in the aetiology of type 2 diabetes. Recent epigenome-wide association studies (EWASs) identified several DNA methylation markers associated with type 2 diabetes, fasting glucose and HbA1c levels. Here we present a systematic review of these studies and attempt to replicate the CpG sites (CpGs) with the most significant associations from these EWASs in a case–control sample of the Lifelines study. Methods We performed a systematic literature search in PubMed and EMBASE for EWASs to test the association between DNA methylation and type 2 diabetes and/or glycaemic traits and reviewed the search results. For replication purposes we selected 100 unique CpGs identified in peripheral blood, pancreas, adipose tissue and liver from 15 EWASs, using study-specific Bonferroni-corrected significance thresholds. Methylation data (Illumina 450K array) in whole blood from 100 type 2 diabetic individuals and 100 control individuals from the Lifelines study were available. Multivariate linear models were used to examine the associations of the specific CpGs with type 2 diabetes and glycaemic traits. Results From the 52 CpGs identified in blood and selected for replication, 15 CpGs showed nominally significant associations with type 2 diabetes in the Lifelines sample (p
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- 2017
31. Genotype–covariate interaction effects and the heritability of adult body mass index
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Luke R. Lloyd-Jones, Patrik K. E. Magnusson, Magnus Johannesson, Nancy L. Pedersen, Tõnu Esko, Harold Snieder, David Cesarini, Ilja M. Nolte, Reedik Mägi, Jian Yang, Jana V. van Vliet-Ostaptchouk, Zhihong Zhu, Peter M. Visscher, Geoffrey English, Lili Milani, Erik Ingelsson, Marcus A. Triplett, Gerhard Moser, Matthew R. Robinson, Andres Metspalu, Life Course Epidemiology (LCE), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Adult ,Male ,0301 basic medicine ,Aging ,Multifactorial Inheritance ,SEX-DIFFERENCES ,Adolescent ,Genotype ,Twins ,TWIN ,Biology ,Polymorphism, Single Nucleotide ,Body Mass Index ,GENETIC ARCHITECTURE ,Young Adult ,03 medical and health sciences ,MISSING HERITABILITY ,Missing heritability problem ,Genetics ,medicine ,Humans ,Human height ,Life Style ,Aged ,Genetic association ,EDUCATIONAL-ATTAINMENT ,Sex Characteristics ,COMPLEX TRAITS ,FTO GENOTYPE ,Bayes Theorem ,Middle Aged ,Heritability ,medicine.disease ,Obesity ,Genetic architecture ,030104 developmental biology ,Sample size determination ,OBESITY ,Female ,Gene-Environment Interaction ,DAIRY-CATTLE ,HUMAN HEIGHT ,Body mass index ,Demography - Abstract
Obesity is a worldwide epidemic, with major health and economic costs. Here we estimate heritability for body mass index (BMI) in 172,000 sibling pairs and 150,832 unrelated individuals and explore the contribution of genotype-covariate interaction effects at common SNP loci. We find evidence for genotype-age interaction (likelihood ratio test (LRT) = 73.58, degrees of freedom (df) = 1, P = 4.83 × 10-18), which contributed 8.1% (1.4% s.e.) to BMI variation. Across eight self-reported lifestyle factors, including diet and exercise, we find genotype-environment interaction only for smoking behavior (LRT = 19.70, P = 5.03 × 10-5 and LRT = 30.80, P = 1.42 × 10-8), which contributed 4.0% (0.8% s.e.) to BMI variation. Bayesian association analysis suggests that BMI is highly polygenic, with 75% of the SNP heritability attributable to loci that each explain
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- 2017
32. Development and Interlaboratory Validation of Two Fast UPLC-MS-MS Methods Determining Urinary Bisphenols, Parabens and Phthalates
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Ido P. Kema, Bruce H. R. Wolffenbuttel, Jana V. van Vliet-Ostaptchouk, Hanne Frederiksen, Thomas P van der Meer, André P van Beek, Martijn van Faassen, Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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Bisphenol A ,SAMPLES ,Denmark ,Health, Toxicology and Mutagenesis ,Coefficient of variation ,Phthalic Acids ,Parabens ,UNITED-STATES ,Urine ,Endocrine Disruptors ,010501 environmental sciences ,Toxicology ,Diisodecyl phthalate ,Tandem mass spectrometry ,01 natural sciences ,METABOLITES ,Article ,Analytical Chemistry ,DISRUPTING CHEMICALS ,chemistry.chemical_compound ,Phenols ,Tandem Mass Spectrometry ,Liquid chromatography–mass spectrometry ,Humans ,Environmental Chemistry ,TANDEM MASS-SPECTROMETRY ,0105 earth and related environmental sciences ,Detection limit ,MS/MS METHOD ,Chemical Health and Safety ,Chromatography ,010401 analytical chemistry ,Phthalate ,Environmental Exposure ,QUANTIFICATION ,0104 chemical sciences ,ENVIRONMENTAL PHENOLS ,chemistry ,TEMPORAL TRENDS ,HUMAN EXPOSURE ,Environmental Pollutants ,Chromatography, Liquid - Abstract
People are constantly exposed to a wide variety of chemicals. Some of these compounds, such as parabens, bisphenols and phthalates, are known to have endocrine disrupting potencies. Over the years, these endocrine disrupting chemicals (EDCs) have been a rising cause for concern. In this study, we describe setup and validation of two methods to measure EDCs in human urine, using ultra-performance liquid chromatography tandem mass spectrometry. The phenol method determines methyl-, ethyl-, propyl-, n-butyl- and benzylparaben and bisphenol A, F and S. The phthalate method determines in total 13 metabolites of dimethyl, diethyl, diisobutyl, di-n-butyl, di(2-ethylhexyl), butylbenzyl, diiso-nonyl and diisodecyl phthalate. Runtime was 7 and 8 min per sample for phenols and phthalates, respectively. The methods were validated by the National Institute of Standards & Technology (NIST) for 13 compounds. In addition, EDCs were measured in forty 24-h urine samples, of which 12 EDCs were compared with the same samples measured in an established facility (Rigshospitalet, Copenhagen, Denmark). The intra-assay coefficient of variability (CV) was highest at 10% and inter-assay CV was highest at 12%. Recoveries ranged from 86 to 115%. The limit of detection ranged from 0.06 to 0.43 ng/mL. Of 21 compounds, 10 were detected above limit of detection in ≥93% of the samples. Eight compounds were in accordance to NIST reference concentrations. Differences in intercept were found for two compounds whereas slope differed for six compounds between our method and that used in the Danish facility. In conclusion, we set up and validated two high-throughput methods with very short runtime capable of measuring 5 parabens, 3 bisphenols and 13 different metabolites of 8 phthalates. Sensitivity of the phenol method was increased by using ammonium fluoride in the mobile phase.
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- 2019
33. Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease
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Shafqat Ahmad, Christina M Astley, Ruth J. F. Loos, Evangelos Evangelou, M. Fabiola Del Greco, Barbara McKnight, Helen R. Warren, Sonja I. Berndt, Carolina Medina-Gomez, Eirini Marouli, Jana V. van Vliet-Ostaptchouk, Joel N. Hirschhorn, Panos Deloukas, Zhihong Zhu, Mark J. Caulfield, Zoltán Kutalik, Jian Yang, Center for Liver, Digestive and Metabolic Diseases (CLDM), Epidemiology, and Internal Medicine
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Male ,SELECTION ,Vital capacity ,Heart disease ,endocrine system diseases ,Vital Capacity ,Medicine (miscellaneous) ,Type 2 diabetes ,Coronary Artery Disease ,Body Mass Index ,Coronary artery disease ,Cohort Studies ,0302 clinical medicine ,Risk Factors ,Forced Expiratory Volume ,Medicine ,030212 general & internal medicine ,Lung ,lcsh:QH301-705.5 ,2. Zero hunger ,RISK ,0303 health sciences ,ASSOCIATION ,Middle Aged ,MULTIPLE GENETIC-VARIANTS ,BIAS ,Cardiology ,Female ,General Agricultural and Biological Sciences ,Medical Genetics ,Adult ,medicine.medical_specialty ,Genotype ,HEART-DISEASE ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,FEV1/FVC ratio ,Diabetes mellitus ,Internal medicine ,INSTRUMENTAL VARIABLES ,Humans ,030304 developmental biology ,Aged ,Medicinsk genetik ,business.industry ,MORTALITY ,nutritional and metabolic diseases ,Mendelian Randomization Analysis ,medicine.disease ,Body Height ,United Kingdom ,Blood pressure ,Diabetes Mellitus, Type 2 ,lcsh:Biology (General) ,ATHEROSCLEROSIS ,PLEIOTROPY ,business ,Body mass index - Abstract
There is evidence that lower height is associated with a higher risk of coronary artery disease (CAD) and increased risk of type 2 diabetes (T2D). It is not clear though whether these associations are causal, direct or mediated by other factors. Here we show that one standard deviation higher genetically determined height (~6.5 cm) is causally associated with a 16% decrease in CAD risk (OR = 0.84, 95% CI 0.80–0.87). This causal association remains after performing sensitivity analyses relaxing pleiotropy assumptions. The causal effect of height on CAD risk is reduced by 1–3% after adjustment for potential mediators (lipids, blood pressure, glycaemic traits, body mass index, socio-economic status). In contrast, our data suggest that lung function (measured by forced expiratory volume [FEV1] and forced vital capacity [FVC]) is a mediator of the effect of height on CAD. We observe no direct causal effect of height on the risk of T2D., Eirini Marouli et al. use Mendelian randomisation analyses to investigate the causal relationship between adult height, coronary artery disease (CAD) and type 2 diabetes (T2D) in the UK Biobank. They find that height has a causal effect on CAD, which is mediated by lung function, while there is no direct effect on the risk of T2D.
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- 2019
34. Skin autofluorescence predicts incident type 2 diabetes, cardiovascular disease and mortality in the general population
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Reindert Graaff, Andrew D. Paterson, Robert P. van Waateringe, Bruce H. R. Wolffenbuttel, Andries J. Smit, Melanie M. van der Klauw, Bernardina T. Fokkens, Jana V. van Vliet-Ostaptchouk, Sandra N. Slagter, Helen L. Lutgers, Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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0301 basic medicine ,Blood Glucose ,Male ,Endocrinology, Diabetes and Metabolism ,Type 2 diabetes ,Disease ,Cardiovascular ,Skin autofluorescence ,0302 clinical medicine ,Risk Factors ,Myocardial infarction ,Prospective Studies ,Skin ,METABOLIC SYNDROME ,RISK ,education.field_of_study ,COMPLICATIONS ,Incidence ,Optical Imaging ,Diabetes ,Middle Aged ,3. Good health ,Cardiovascular Diseases ,Female ,medicine.symptom ,GLYCATION END-PRODUCTS ,Cohort study ,Adult ,medicine.medical_specialty ,LIFELINES ,Population ,030209 endocrinology & metabolism ,Article ,03 medical and health sciences ,Internal medicine ,Diabetes mellitus ,SCORE ,Internal Medicine ,medicine ,Humans ,Mortality ,education ,Aged ,business.industry ,GLYCOSYLATION ,ARTERIAL ,medicine.disease ,Intermittent claudication ,COLLAGEN ,Ageing ,030104 developmental biology ,Diabetes Mellitus, Type 2 ,Metabolic syndrome ,business ,Prediction ,MAILLARD REACTION - Abstract
Aims/hypothesis Earlier studies have shown that skin autofluorescence measured with an AGE reader estimates the accumulation of AGEs in the skin, which increases with ageing and is associated with the metabolic syndrome and type 2 diabetes. In the present study, we examined whether the measurement of skin autofluorescence can predict 4 year risk of incident type 2 diabetes, cardiovascular disease (CVD) and mortality in the general population. Methods For this prospective analysis, we included 72,880 participants of the Dutch Lifelines Cohort Study, who underwent baseline investigations between 2007 and 2013, had validated baseline skin autofluorescence values available and were not known to have diabetes or CVD. Individuals were diagnosed with incident type 2 diabetes by self-report or by a fasting blood glucose ≥7.0 mmol/l or HbA1c ≥48 mmol/mol (≥6.5%) at follow-up. Participants were diagnosed as having incident CVD (myocardial infarction, coronary interventions, cerebrovascular accident, transient ischaemic attack, intermittent claudication or vascular surgery) by self-report. Mortality was ascertained using the Municipal Personal Records Database. Results After a median follow-up of 4 years (range 0.5–10 years), 1056 participants (1.4%) had developed type 2 diabetes, 1258 individuals (1.7%) were diagnosed with CVD, while 928 (1.3%) had died. Baseline skin autofluorescence was elevated in participants with incident type 2 diabetes and/or CVD and in those who had died (all p
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- 2019
35. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity
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Michael R. Brown, Christian Gieger, André G. Uitterlinden, Diana van Heemst, Alison D. Murray, Stephen B. Kritchevsky, Timo A. Lakka, Karen Schwander, Federica Laguzzi, Stephen S. Rich, Rajkumar Dorajoo, Yun Ju Sung, Xiaofeng Zhu, Hugues Aschard, Jing Hua Zhao, Gregory P. Wilson, Kenneth Rice, Barbara Sternfeld, Kent D. Taylor, Paul Elliott, Ei-Ei Khaing Nang, Ilja M. Nolte, Heather M. Stringham, Bruce M. Psaty, Heming Wang, Tangchun Wu, Caroline Hayward, Vilmundur Gudnason, Fernando Pires Hartwig, Paolo Gasparini, Jingjing Liang, Neil Risch, Albertine J. Oldehinkel, Ani Manichaikul, Tibor V. Varga, Michael Y. Tsai, Niek Verweij, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Xiuqing Guo, Traci M. Bartz, Nicholette D. Palmer, Woon-Puay Koh, Rozenn N. Lemaitre, Caizheng Yu, Mike A. Nalls, Mariaelisa Graff, Eric Boerwinkle, Dabeeru C. Rao, Thomas Meitinger, Virginia Fisher, Mario Sims, Charles Kooperberg, Carl D. Langefeld, Jaakko Tuomilehto, Reedik Mägi, Wei Zhao, Wanqing Wen, Donna K. Arnett, Ervin R. Fox, Lynda M. Rose, Maris Alver, Ayse Demirkan, Solomon K. Musani, Dennis O. Mook-Kanamori, Andres Metspalu, Jerome I. Rotter, Barry I. Freedman, Jiang He, Hermina Jakupović, Steven C. Hunt, Marco Brumat, Maria Pina Concas, Rob M. van Dam, Rico Rueedi, Jonathan Marten, Chi Charles Gu, Tõnu Esko, Peter Vollenweider, Zoltán Kutalik, Olli T. Raitakari, Ya X. Wang, Yong-Bing Xiang, Pamela J. Schreiner, Antonietta Robino, Tanika N. Kelly, Igor Rudan, Mathilde Boissel, Claudia Langenberg, Yii-Der Ida Chen, Anne U. Jackson, Lawrence F. Bielak, Brenda W.J.H. Penninx, Brigitte Kühnel, Christopher P. Nelson, Konstantin Strauch, Albert V. Smith, Daniel I. Chasman, Jasmin Divers, Lisa R. Yanek, M. Arfan Ikram, Melissa A. Richard, Nilesh J. Samani, Lisa de las Fuentes, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Yongmei Liu, Peter J. van der Most, Fang-Chi Hsu, Jeffrey R. O'Connell, Alexandre C. Pereira, Raymond Noordam, Changwei Li, Jie Yao, Trudy Voortman, Zhe Wang, Thomas H. Mosley, Diane M. Becker, Charles N. Rotimi, Sami Heikkinen, Archie Campbell, John M. C. Connell, Lenore J. Launer, Hua Tang, Rainer Rauramaa, Ruth J. F. Loos, Pirjo Komulainen, Amy R. Bentley, Patrik Wennberg, Chew-Kiat Heng, Kari E. North, Salman M. Tajuddin, Renée de Mutsert, David J. Porteous, Susan Redline, Sarah E. Harris, Tamara B. Harris, Raha Pazoki, Mickaël Canouil, Robert A. Scott, Jingzhong Ding, Mary F. Feitosa, Jost B. Jonas, José Eduardo Krieger, John M. Starr, Karin Leander, Jennifer A. Smith, Paul W. Franks, Charles B. Eaton, Sharon L.R. Kardia, E. Shyong Tai, Jill M. Norris, Annette Peters, Chiamaka Vivian Nwuba, Jianjun Liu, Stella Aslibekyan, Nora Franceschini, Kurt Lohman, Myriam Fornage, Dina Vojinovic, Erin B. Ware, Xiaoyin Li, Najaf Amin, Johanna Kuusisto, M. Yldau van der Ende, Cora E. Lewis, Lynne E. Wagenknecht, Jennifer G. Robinson, Franco Giulianini, Ulf de Faire, Yechiel Friedlander, Nicholas J. Wareham, Meian He, George J. Papanicolau, Nancy L. Pedersen, Bernardo L. Horta, Karen L. Mohlke, Kelley Pettee Gabriel, Minjung Kho, Michele K. Evans, Ozren Polasek, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Ioanna Ntalla, Cornelia M. van Duijn, L. Adrienne Cupples, Yuri Milaneschi, Stephen Sidney, Alan B. Zonderman, Leo-Pekka Lyytikäinen, Mohsen Ghanbari, Harold Snieder, Donald W. Bowden, Aldi T. Kraja, Alaitz Poveda, Terho Lehtimäki, Paul S. de Vries, Dongfeng Gu, Sotoodehnia Nona, Thomas W. Winkler, Muhammad Riaz, Ian J. Deary, Fumihiko Takeuchi, Pim van der Harst, Alisa K. Manning, Michael A. Province, Andrea R. V. R. Horimoto, David R. Weir, Wei Zheng, Alanna C. Morrison, Marzyeh Amini, Jian-Min Yuan, W. James Gauderman, Paul M. Ridker, Melanie Waldenberger, Chuan Gao, Xiao-Ou Shu, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, Tamar Sofer, Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, UK DRI Ltd, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, IT University of Copenhagen, Icahn School of Medicine at Mount Sinai [New York] (MSSM), National Institutes of Health [Bethesda] (NIH), Leiden University Medical Center (LUMC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), University of Regensburg, Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), Massachusetts General Hospital [Boston], Queen Mary University of London (QMUL), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), University of Washington [Seattle], The present work was largely supported by a grant from the US National Heart, Lung,and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305)., Kilpeläinen, Tuomas O., Bentley, Amy R., Noordam, Raymond, Sung, Yun Ju, Schwander, Karen, Winkler, Thomas W., Jakupović, Hermina, Chasman, Daniel I., Manning, Alisa, Ntalla, Ioanna, Aschard, Hugue, Brown, Michael R., de las Fuentes, Lisa, Franceschini, Nora, Guo, Xiuqing, Vojinovic, Dina, Aslibekyan, Stella, Feitosa, Mary F., Kho, Minjung, Musani, Solomon K., Richard, Melissa, Wang, Heming, Wang, Zhe, Bartz, Traci M., Bielak, Lawrence F., Campbell, Archie, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Li, Changwei, Lohman, Kurt K., Marten, Jonathan, Sim, Xueling, Smith, Albert V., Tajuddin, Salman M., Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelo, Gao, Chuan, Graff, Mariaelisa, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Zhao, Jing Hua, Kraja, Aldi T., Kühnel, Brigitte, Laguzzi, Federica, Lyytikäinen, Leo-Pekka, Nolte, Ilja M., Rauramaa, Rainer, Riaz, Muhammad, Robino, Antonietta, Rueedi, Rico, Stringham, Heather M., Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Verweij, Niek, Ware, Erin B., Wen, Wanqing, Li, Xiaoyin, Yanek, Lisa R., Amin, Najaf, Arnett, Donna K., Boerwinkle, Eric, Brumat, Marco, Cade, Brian, Canouil, Mickaël, Chen, Yii-Der Ida, Concas, Maria Pina, Connell, John, de Mutsert, Renée, de Silva, H. Janaka, de Vries, Paul S., Demirkan, Ayşe, Ding, Jingzhong, Eaton, Charles B., Faul, Jessica D., Friedlander, Yechiel, Gabriel, Kelley P., Ghanbari, Mohsen, Giulianini, Franco, Gu, Chi Charle, Gu, Dongfeng, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hunt, Steven C., Ikram, M. Arfan, Jonas, Jost B., Koh, Woon-Puay, Komulainen, Pirjo, Krieger, Jose E., Kritchevsky, Stephen B., Kutalik, Zoltán, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Leander, Karin, Lemaitre, Rozenn N., Lewis, Cora E., Liang, Jingjing, Alizadeh, Behrooz Z., Boezen, H. Marike, Franke, Lude, Navis, Gerjan, Rots, Marianne, Swertz, Morri, Wolffenbuttel, Bruce H. R., Wijmenga, Cisca, Liu, Jianjun, Mägi, Reedik, Manichaikul, Ani, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Mohlke, Karen L., Mosley, Thomas H., Murray, Alison D., Nalls, Mike A., Nang, Ei-Ei Khaing, Nelson, Christopher P., Nona, Sotoodehnia, Norris, Jill M., Nwuba, Chiamaka Vivian, O’Connell, Jeff, Palmer, Nicholette D., Papanicolau, George J., Pazoki, Raha, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Porteous, David J., Poveda, Alaitz, Raitakari, Olli T., Rich, Stephen S., Risch, Neil, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Schreiner, Pamela J., Scott, Robert A., Sidney, Stephen S., Sims, Mario, Smith, Jennifer A., Snieder, Harold, Sofer, Tamar, Starr, John M., Sternfeld, Barbara, Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Tsai, Michael Y., Tuomilehto, Jaakko, Uitterlinden, André G., van der Ende, M. Yldau, van Heemst, Diana, Voortman, Trudy, Waldenberger, Melanie, Wennberg, Patrik, Wilson, Gregory, Xiang, Yong-Bing, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., de Faire, Ulf, Deary, Ian J., Elliott, Paul, Esko, Tõnu, Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Kato, Norihiro, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Samani, Nilesh J., Shu, Xiao-Ou, van der Harst, Pim, Van Vliet-Ostaptchouk, Jana V., Vollenweider, Peter, Wagenknecht, Lynne E., Wang, Ya X., Wareham, Nicholas J., Weir, David R., Wu, Tangchun, Zheng, Wei, Zhu, Xiaofeng, Evans, Michele K., Franks, Paul W., Gudnason, Vilmundur, Hayward, Caroline, Horta, Bernardo L., Kelly, Tanika N., Liu, Yongmei, North, Kari E., Pereira, Alexandre C., Ridker, Paul M., Tai, E. Shyong, van Dam, Rob M., Fox, Ervin R., Kardia, Sharon L. R., Liu, Ching-Ti, Mook-Kanamori, Dennis O., Province, Michael A., Redline, Susan, van Duijn, Cornelia M., Rotter, Jerome I., Kooperberg, Charles B., Gauderman, W. Jame, Psaty, Bruce M., Rice, Kenneth, Munroe, Patricia B., Fornage, Myriam, Cupples, L. Adrienne, Rotimi, Charles N., Morrison, Alanna C., Rao, Dabeeru C., Loos, Ruth J. F., Bentley, Amy R [0000-0002-0827-9101], Jakupović, Hermina [0000-0001-9667-9406], Manning, Alisa [0000-0003-0247-902X], Aschard, Hugues [0000-0003-0907-2548], de Las Fuentes, Lisa [0000-0002-4689-325X], Richard, Melissa [0000-0003-0129-9860], Liu, Ching-Ti [0000-0002-0703-0742], Rice, Kenneth [0000-0002-3071-7278], Munroe, Patricia B [0000-0002-4176-2947], Loos, Ruth JF [0000-0002-8532-5087], Apollo - University of Cambridge Repository, Epidemiology, Radiology & Nuclear Medicine, Erasmus MC other, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, IT University of Copenhagen (ITU), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Value, Affordability and Sustainability (VALUE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Lifelines Cohort Study, Alizadeh, B.Z., Boezen, H.M., Franke, L., Navis, G., Rots, M., Swertz, M., Wolffenbuttel, BHR, and Wijmenga, C.
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Genetics and Molecular Biology (all) ,Male ,Genome-wide association study ,02 engineering and technology ,Biochemistry ,MESH: Genotype ,MESH: Nerve Tissue Proteins ,lcsh:Science ,MESH: Lipid Metabolism ,Aged, 80 and over ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,MESH: Middle Aged ,MESH: Asian Continental Ancestry Group ,Kólesteról ,Hispanic or Latino ,MESH: Transcription Factors ,MESH: European Continental Ancestry Group ,Lipids ,ddc ,3. Good health ,REVEAL ,Cholesterol ,MESH: Young Adult ,Science & Technology - Other Topics ,MESH: Membrane Proteins ,MESH: Cholesterol, HDL ,Hispanic Americans ,0210 nano-technology ,Erfðarannsóknir ,MESH: Cholesterol, LDL ,MESH: Triglycerides ,Genotype ,Genetic Loci ,Lipid Metabolism ,Science ,European Continental Ancestry Group ,LIM-Homeodomain Proteins ,Locus (genetics) ,EXERCISE ,Adolescent ,Adult ,African Continental Ancestry Group/genetics ,Aged ,Asian Continental Ancestry Group/genetics ,Brazil ,Calcium-Binding Proteins/genetics ,Cholesterol/blood ,Cholesterol, HDL/blood ,Cholesterol, HDL/genetics ,Cholesterol, LDL/blood ,Cholesterol, LDL/genetics ,European Continental Ancestry Group/genetics ,Exercise ,Female ,Genetic Loci/genetics ,Genome-Wide Association Study ,Hispanic Americans/genetics ,Humans ,LIM-Homeodomain Proteins/genetics ,Lipid Metabolism/genetics ,Lipids/blood ,Lipids/genetics ,Membrane Proteins/genetics ,Microtubule-Associated Proteins/genetics ,Middle Aged ,Muscle Proteins/genetics ,Nerve Tissue Proteins/genetics ,Transcription Factors/genetics ,Triglycerides/blood ,Triglycerides/genetics ,Young Adult ,General Biochemistry, Genetics and Molecular Biology ,Article ,White People ,CARBOXYLASE ,03 medical and health sciences ,Physics and Astronomy (all) ,MESH: Muscle Proteins ,Asian People ,Lifelines Cohort Study ,SNP ,METAANALYSIS ,Ancestry ,MESH: Adolescent ,Biochemistry, Genetics and Molecular Biology (all) ,MESH: Humans ,Science & Technology ,Calcium-Binding Proteins ,MESH: Adult ,MESH: Microtubule-Associated Proteins ,030104 developmental biology ,chemistry ,MESH: Genome-Wide Association Study ,lcsh:Q ,MESH: African Continental Ancestry Group ,Chemistry (all) ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,MESH: Brazil ,MESH: Female ,Transcription Factors ,0301 basic medicine ,General Physics and Astronomy ,Blood lipids ,Muscle Proteins ,MESH: Calcium-Binding Proteins ,chemistry.chemical_compound ,MESH: Aged, 80 and over ,MESH: Cholesterol ,WIDE ASSOCIATION ,African Continental Ancestry Group ,Genetics ,MESH: Aged ,Multidisciplinary ,Public Health, Global Health, Social Medicine and Epidemiology ,021001 nanoscience & nanotechnology ,Multidisciplinary Sciences ,lipids (amino acids, peptides, and proteins) ,Medical Genetics ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,Microtubule-Associated Proteins ,Asian Continental Ancestry Group ,Black People ,Nerve Tissue Proteins ,Biology ,MESH: Genetic Loci ,MD Multidisciplinary ,Triglycerides ,Medicinsk genetik ,MESH: LIM-Homeodomain Proteins ,Triglyceride ,MESH: Hispanic Americans ,Cholesterol, HDL ,Genome-wide analyses ,Membrane Proteins ,Lipid metabolism ,General Chemistry ,Cholesterol, LDL ,Arfgengi ,MESH: Lipids ,MESH: Male ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,INDIVIDUALS ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,MESH: Exercise ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie - Abstract
Publisher's version (útgefin grein), Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels., The present work was largely supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). The full list of acknowledgments appears in the Supplementary Notes 3 and 4.
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- 2018
36. Lifestyle and clinical determinants of skin autofluorescence in a population-based cohort study
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Bruce H. R. Wolffenbuttel, Sandra N. Slagter, Helen L. Lutgers, Melanie M. van der Klauw, Robert P. van Waateringe, Andrew D. Paterson, Reindert Graaff, Jana V. van Vliet-Ostaptchouk, Lifestyle Medicine (LM), Life Course Epidemiology (LCE), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Glycation End Products, Advanced ,Male ,Cross-sectional study ,Arylamine N-Acetyltransferase ,Clinical Biochemistry ,INTIMA MEDIA THICKNESS ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Biochemistry ,Coffee ,Body Mass Index ,Cohort Studies ,0302 clinical medicine ,skin autofluorescence ,cardiovascular disease ,Advanced glycation end products ,Skin ,RISK ,education.field_of_study ,Optical Imaging ,Smoking ,Age Factors ,determinants ,General Medicine ,Middle Aged ,INTRINSIC FLUORESCENCE ,CARDIOVASCULAR-DISEASE ,Creatinine ,COFFEE CONSUMPTION ,Original Article ,Female ,type 2 diabetes ,GLYCATION END-PRODUCTS ,Cohort study ,Adult ,medicine.medical_specialty ,CHLOROGENIC ACID ,Population ,Drinking Behavior ,TYPE-2 DIABETES-MELLITUS ,030209 endocrinology & metabolism ,03 medical and health sciences ,MAILLARD REACTION-PRODUCTS ,PERIPHERAL ARTERY-DISEASE ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,education ,Life Style ,Aged ,Glycated Hemoglobin ,business.industry ,fungi ,aging ,Case-control study ,Type 2 Diabetes Mellitus ,Original Articles ,medicine.disease ,Surgery ,Cross-Sectional Studies ,Diabetes Mellitus, Type 2 ,Case-Control Studies ,Multivariate Analysis ,business ,Body mass index ,Biomarkers - Abstract
BACKGROUND: Skin autofluorescence (SAF) is a non-invasive marker of advanced glycation end products (AGEs). In diabetes, higher SAF levels has been positively associated with long-term complications, cardiovascular morbidity and mortality. Because little is known about the factors that influence SAF in non-diabetic individuals, we assessed the association of clinical and lifestyle parameters with SAF as well as their interactions in a large-scale, non-diabetic population and performed the same analyses in a type 2 diabetic subgroup.METHODS: In a cross-sectional study in participants from the LifeLines Cohort Study, extensive clinical and biochemical phenotyping, including SAF measurement, was assessed in 9009 subjects of whom 314 (3.5%) subjects with type 2 diabetes.RESULTS: Mean SAF was 2.04 ± 0.44 arbitrary units (AU) in non-diabetic individuals and 2.44 ± 0.55 AU in type 2 diabetic subjects (pCONCLUSIONS: In addition to the established literature on type 2 diabetes, we have demonstrated that SAF levels are associated with several clinical and lifestyle factors in the non-diabetic population. These parameters should be taken into consideration when using SAF as a screening or prediction tool for populations at risk for cardiovascular disease and diabetes. This article is protected by copyright. All rights reserved.
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- 2016
37. Biomonitoring of human exposures to chlorinated derivatives and structural analogs of bisphenol A
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Konstantinos C. Makris, Syam S. Andra, Jana V. van Vliet-Ostaptchouk, Manish Arora, and Pantelis Charisiadis
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endocrine system ,Bisphenol A ,Lipid accumulation ,BPA analogs ,BPA free ,Medical and Health Sciences ,Article ,chemistry.chemical_compound ,Domestic environment ,Phenols ,Health Sciences ,Biomonitoring ,Metabolites ,Hydrocarbons, Chlorinated ,Animals ,Humans ,Obesity ,Benzhydryl compounds ,Benzhydryl Compounds ,lcsh:Environmental sciences ,General Environmental Science ,Exposure assessment ,lcsh:GE1-350 ,Emerging contaminants ,Mass spectrometry ,Human studies ,urogenital system ,Chlorinated derivatives ,Human exposure ,Disinfection ,Diabetes Mellitus, Type 2 ,Bisphenol S ,chemistry ,Environmental chemistry ,Environmental Pollutants ,hormones, hormone substitutes, and hormone antagonists ,Analogs ,Environmental Monitoring - Abstract
The high reactivity of bisphenol A (BPA) with disinfectant chlorine is evident in the instantaneous formation of chlorinated BPA derivatives (ClxBPA) in various environmental media that show increased estrogen-activity when compared with that of BPA. The documented health risks associated with BPA exposures have led to the gradual market entry of BPA structural analogs, such as bisphenol S (BPS), bisphenol F (BPF), bisphenol B (BPB), etc. A suite of exposure sources to ClxBPA and BPA analogs in the domestic environment is anticipated to drive the nature and range of halogenated BPA derivatives that can form when residual BPA comes in contact with disinfectant in tap water and/or consumer products. The primary objective of this review was to survey all available studies reporting biomonitoring protocols of ClxBPA and structural BPA analogs (BPS, BPF, BPB, etc.) in human matrices. Focus was paid on describing the analytical methodologies practiced for the analysis of ClxBPA and BPA analogs using hyphenated chromatography and mass spectrometry techniques, because current methodologies for human matrices are complex. During the last decade, an increasing number of ecotoxicological, cell-culture and animal-based and human studies dealing with ClxBPA exposure sources and routes of exposure, metabolism and toxicity have been published. Up to date findings indicated the association of ClxBPA with metabolic conditions, such as obesity, lipid accumulation, and type 2 diabetes mellitus, particularly in in-vitro and in-vivo studies. We critically discuss the limitations, research needs and future opportunities linked with the inclusion of ClxBPA and BPA analogs into exposure assessment protocols of relevant epidemiological studies. Keywords: Biomonitoring, Bisphenol A, BPA analogs, BPA free, analogs, Chlorinated derivatives, Disinfection, Emerging contaminants, Human exposure, Mass spectrometry, Metabolites
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- 2015
38. Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts
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Elin Pettersen Sørgjerd, Anna Artati, Jerzy Adamski, Stephanie Gängler, Konstantinos C. Makris, Melanie Waldenberger, Jurjen N. van Bolhuis, Jana V. van Vliet-Ostaptchouk, and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Male ,Disease status ,Halogenation ,Endocrinology, Diabetes and Metabolism ,Clinical Biochemistry ,Urine ,Type 2 diabetes ,LASSO ,Logistic regression ,01 natural sciences ,Biochemistry ,Cohort Studies ,MELLITUS ,METABOLIC MARKERS ,ANALYSIS REVEALS ,Risk Factors ,IMPUTATION ,URINE ,WATER ,Prospective Studies ,BROMINATED TRIHALOMETHANES ,0303 health sciences ,Lifelines ,ASSOCIATION ,Disinfection byproducts ,Middle Aged ,VARIABILITY ,Cohort ,Female ,Chloroform ,Cinnamoylglycine ,Trihalomethanes ,Adult ,medicine.medical_specialty ,03 medical and health sciences ,Internal medicine ,medicine ,Humans ,Metabolomics ,030304 developmental biology ,business.industry ,010401 analytical chemistry ,HUNT ,medicine.disease ,0104 chemical sciences ,Diabetes Mellitus, Type 2 ,Case-Control Studies ,Nested case-control study ,business ,Brominated disinfection byproducts ,Selection operator ,Biomarkers ,Disinfectants - Abstract
Introduction Environmental chemicals acting as metabolic disruptors have been implicated with diabetogenesis, but evidence is weak among short-lived chemicals, such as disinfection byproducts (trihalomethanes, THM composed of chloroform, TCM and brominated trihalomethanes, BrTHM).Objectives We assessed whether THM were associated with type 2 diabetes (T2D) and we explored alterations in metabolic profiles due to THM exposures or T2D status.Methods A prospective 1:1 matched case-control study (n = 430) and a cross-sectional 1:1 matched case-control study (n = 362) nested within the HUNT cohort (Norway) and the Lifelines cohort (Netherlands), respectively, were set up. Urinary biomarkers of THM exposure and mass spectrometry-based serum metabolomics were measured. Associations between THM, clinical markers, metabolites and disease status were evaluated using logistic regressions with Least Absolute Shrinkage and Selection Operator procedure.Results Low median THM exposures (ng/g, IQR) were measured in both cohorts (cases and controls of HUNT and Lifelines, respectively, 193 (76, 470), 208 (77, 502) and 292 (162, 595), 342 (180, 602). Neither BrTHM (OR = 0.87; 95% CI: 0.67, 1.11 vertical bar OR = 1.09; 95% CI: 0.73, 1.61), nor TCM (OR = 1.03; 95% CI: 0.88, 1.2 vertical bar OR = 1.03; 95% CI: 0.79, 1.35) were associated with incident or prevalent T2D, respectively. Metabolomics showed 48 metabolites associated with incident T2D after adjusting for sex, age and BMI, whereas a total of 244 metabolites were associated with prevalent T2D. A total of 34 metabolites were associated with the progression of T2D. In data driven logistic regression, novel biomarkers, such as cinnamoylglycine or 1-methylurate, being protective of T2D were identified. The incident T2D risk prediction model (HUNT) predicted well incident Lifelines cases (AUC = 0.845; 95% CI: 0.72, 0.97).Conclusion Such exposome-based approaches in cohort-nested studies are warranted to better understand the environmental origins of diabetogenesis.
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- 2018
39. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
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Tõnu Esko, Bruce H. R. Wolffenbuttel, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Richard Karlsson Linnér, Juan R. González, Emma L Anderson, Harold Snieder, Josje D. Schoufour, Taulant Muka, Chanwook Lee, Philipp Koellinger, Daniel J. Benjamin, K. Paige Harden, George Davey Smith, George McMahon, Kim Valeska Emilie Braun, Kaitlin H Wade, Nita G. Forouhi, James J. Lee, André G. Uitterlinden, Fumiaki Imamuri, Nicholas J. Wareham, Oscar H. Franco, Trudy Voortman, Peter Bowers, Cornelius A. Rietveld, Frank J. A. van Rooij, David Cesarini, Susan M. Ring, Ronald de Vlaming, Jian'an Luan, Aysu Okbay, Jessica C. Kiefte-de Jong, Claudia Langenberg, Mark Alan Fontana, Patrick Turley, Fernando Rivadeneira, M. Arfan Ikram, Mohsen Ghanbari, Pauline M Emmett, S. Fleur W. Meddens, Casper A.P. Burik, and Carson C. Chow
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2. Zero hunger ,Genetics ,0303 health sciences ,Waist ,Heart disease ,1. No poverty ,030209 endocrinology & metabolism ,Single-nucleotide polymorphism ,Genome-wide association study ,Type 2 diabetes ,Biology ,medicine.disease ,Obesity ,Genetic architecture ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Sugar ,030304 developmental biology - Abstract
We conducted genome-wide association study (GWAS) meta-analyses of relative caloric intake from fat, protein, carbohydrates and sugar in over 235,000 individuals. We identified 21 approximately independent lead SNPs. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15 – 0.5). Relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood poverty (|rg| ≈ 0.1 – 0.3). Overall, our results show that the relative intake of each macronutrient has a distinct genetic architecture and pattern of genetic correlations suggestive of health implications beyond caloric content.
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- 2018
40. Possible Obesogenic Effects of Bisphenols Accumulation in the Human Brain
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Xanthi Andrianou, Bruce H. R. Wolffenbuttel, Dick F. Swaab, Thomas P van der Meer, Jana V. van Vliet-Ostaptchouk, Pantelis Charisiadis, Konstantinos C. Makris, Wilfred F. A. den Dunnen, Academic Medical Center, Netherlands Institute for Neuroscience (NIN), Molecular Neuroscience and Ageing Research (MOLAR), Lifestyle Medicine (LM), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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endocrine system ,medicine.medical_specialty ,Bisphenol A ,Halogenation ,Bisphenol ,Hypothalamus ,lcsh:Medicine ,Endocrine Disruptors ,010501 environmental sciences ,Grey matter ,01 natural sciences ,Article ,Body Mass Index ,White matter ,03 medical and health sciences ,chemistry.chemical_compound ,Phenols ,Internal medicine ,Journal Article ,medicine ,Humans ,Obesity ,Benzhydryl Compounds ,lcsh:Science ,030304 developmental biology ,0105 earth and related environmental sciences ,0303 health sciences ,Multidisciplinary ,urogenital system ,Chemistry ,lcsh:R ,Brain ,Environmental Exposure ,Human brain ,medicine.disease ,White Matter ,medicine.anatomical_structure ,Endocrinology ,Adipose Tissue ,Environmental Pollutants ,lcsh:Q ,Body mass index ,hormones, hormone substitutes, and hormone antagonists ,Chlorophenols - Abstract
Evidence of bisphenols’ obesogenic effects on humans is mixed and inconsistent. We aimed to explore the presence of bisphenol A (BPA), bisphenol F (BPF) and chlorinated BPA (ClBPA), collectively called the bisphenols, in different brain regions and their association with obesity using post-mortem hypothalamic and white matter brain material from twelve pairs of obese (body mass index (BMI) >30 kg/m2) and normal-weight individuals (BMI 2). Mean ratios of hypothalamus:white matter for BPA, BPF and ClBPA were 1.5, 0.92, 0.95, respectively, suggesting no preferential accumulation of the bisphenols in the grey matter (hypothalamic) or white matter-enriched brain areas. We observed differences in hypothalamic concentrations among the bisphenols, with highest median level detected for ClBPA (median: 2.4 ng/g), followed by BPF (2.2 ng/g) and BPA (1.2 ng/g); similar ranking was observed for the white matter samples (median for: ClBPA-2.5 ng/g, BPF-2.3 ng/g, and BPA-1.0 ng/g). Furthermore, all bisphenol concentrations, except for white-matter BPF were associated with obesity (p
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- 2018
41. Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study
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Edith J. M. Feskens, Jana V. van Vliet-Ostaptchouk, Anna Sijtsma, Corine W M Perenboom, Bruce H. R. Wolffenbuttel, Sandra N. Slagter, Daan Kromhout, Jeanne H.M. de Vries, Eva Corpeleijn, Linda G Swart-Busscher, Melanie M. van der Klauw, Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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0301 basic medicine ,Male ,Medicine (miscellaneous) ,Logistic regression ,Body Mass Index ,Cohort Studies ,0302 clinical medicine ,Risk Factors ,Metabolically healthy obesity ,Dietary patterns ,lcsh:RC620-627 ,Netherlands ,Human Nutrition & Health ,2. Zero hunger ,Nutrition and Dietetics ,Humane Voeding & Gezondheid ,food and beverages ,Middle Aged ,3. Good health ,lcsh:Nutritional diseases. Deficiency diseases ,Quartile ,Female ,lcsh:Nutrition. Foods and food supply ,Cohort study ,Adult ,Metabolic health ,030209 endocrinology & metabolism ,lcsh:TX341-641 ,Clinical nutrition ,03 medical and health sciences ,Environmental health ,medicine ,Journal Article ,Humans ,Obesity ,Exercise ,Aged ,VLAG ,Global Nutrition ,Obesity, Metabolically Benign ,Wereldvoeding ,030109 nutrition & dietetics ,business.industry ,Physical activity ,Research ,Odds ratio ,medicine.disease ,Lifestyle ,Diet ,Cross-Sectional Studies ,Metabolic syndrome ,business - Abstract
Background Diversity in the reported prevalence of metabolically healthy obesity (MHO), suggests that modifiable factors may be at play. We evaluated differences in dietary patterns and physical activity between MHO and metabolically unhealthy obesity (MUO). Methods Cross-sectional data of 9270 obese individuals (30–69 years) of the Lifelines Cohort Study was used. MHO was defined as obesity and no metabolic syndrome risk factors and no cardiovascular disease history. MUO was defined as obesity and ≥2 metabolic syndrome risk factors. Sex-specific associations of dietary patterns (identified by principal component analysis) and physical activity with MHO were assessed by multivariable logistic regression (reference group: MUO). Analyses were adjusted for multiple covariates. Results Among 3442 men and 5828 women, 10.2% and 24.4% had MHO and 56.9% and 35.3% MUO, respectively. We generated four obesity-specific dietary patterns. Two were related to MHO, and in women only. In the highest quartile (Q) of ‘bread, potatoes and sweet snacks’ pattern, odds ratio (OR) (95% CI) for MHO was 0.52 (0.39–0.70). For the healthier pattern ‘fruit, vegetables and fish’, an OR of 1.36 (1.09–1.71) in Q3 and 1.55 (1.21–1.97) in Q4 was found for MHO. For physical activity, there was a positive association between moderate physical activity and vigorous physical activity in the highest tertile and MHO in women and men, respectively (OR 1.19 (1.01–1.41) and OR 2.02 (1.50–2.71)). Conclusion The healthier diet -characterized by ‘fruit, vegetables and fish’- and moderate physical activity in women, and vigorous physical activity in men may be related to MHO. The (refined) carbohydrate-rich ‘bread, potatoes and sweet snacks’ dietary pattern was found to counteract MHO in women. Electronic supplementary material The online version of this article (10.1186/s12937-018-0319-0) contains supplementary material, which is available to authorized users.
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- 2018
42. Thyroid function and metabolic syndrome in the population-based LifeLines cohort study
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Sandra N. Slagter, Thera P. Links, Robert P. van Waateringe, Melanie M. van der Klauw, Jana V. van Vliet-Ostaptchouk, Bruce H. R. Wolffenbuttel, Hanneke J C M Wouters, Anneke C. Muller Kobold, Lifestyle Medicine (LM), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Life Course Epidemiology (LCE), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Adult ,Male ,medicine.medical_specialty ,Thyroid Hormones ,Waist ,Epidemiology ,Endocrinology, Diabetes and Metabolism ,Thyroid Gland ,NUTRITION EXAMINATION SURVEY ,THERMOGENESIS ,030209 endocrinology & metabolism ,lcsh:Diseases of the endocrine glands. Clinical endocrinology ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Insulin resistance ,HORMONE ,MARKERS ,QUALITY-OF-LIFE ,Internal medicine ,medicine ,THYROXINE ,Humans ,030212 general & internal medicine ,Abdominal obesity ,Metabolic Syndrome ,Thyroid ,lcsh:RC648-665 ,business.industry ,COMPONENTS ,General Medicine ,Middle Aged ,medicine.disease ,Impaired fasting glucose ,3. Good health ,Endocrinology ,Cross-Sectional Studies ,Quartile ,Triiodothyronine ,Female ,medicine.symptom ,Metabolic syndrome ,Thyroid function ,EUTHYROID SUBJECTS ,business ,Cohort study ,KOREA NATIONAL-HEALTH ,Research Article - Abstract
Background The metabolic syndrome (MetS) is a combination of unfavourable health factors which includes abdominal obesity, dyslipidaemia, elevated blood pressure and impaired fasting glucose. Earlier studies have reported a relationship between thyroid function and some MetS components or suggested that serum free thyroxine (FT4) or free triiodothyronine (FT3) levels within the normal range were independently associated with insulin resistance. We assessed how thyroid function relates to MetS prevalence in a large population-based study. Methods Data of 26,719 people of western European descent, aged 18–80 years from the Dutch LifeLines Cohort study, all with normal thyroid stimulating hormone (TSH), FT4 and FT3 levels (electrochemiluminescent immunoassay, Roche Modular E170 Analyzer), were available. MetS was defined with the revised National Cholesterol Education Programs Adults Treatment Panel III (NCEP ATP III) criteria. We calculated prevalence of all MetS components according to TSH, FT4 and FT3 quartiles. Results At similar TSH levels and age (mean 45 yrs), men had significantly higher levels of FT4, FT3, blood pressure (BP), heart rate, total and LDL-cholesterol, triglycerides (TG), and creatinine, but lower HDL-cholesterol compared to women (all p
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- 2017
43. Sex, BMI and age differences in metabolic syndrome: The Dutch Lifelines Cohort Study
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Melanie M. van der Klauw, Sandra N. Slagter, André P van Beek, Jana V. van Vliet-Ostaptchouk, Robert P. van Waateringe, Bruce H. R. Wolffenbuttel, Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Life Course Epidemiology (LCE)
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medicine.medical_specialty ,ALCOHOL-CONSUMPTION ,Endocrinology, Diabetes and Metabolism ,Age adjustment ,NUTRITION EXAMINATION SURVEY ,030209 endocrinology & metabolism ,BLOOD-PRESSURE ,030204 cardiovascular system & hematology ,lcsh:Diseases of the endocrine glands. Clinical endocrinology ,population based ,metabolic syndrome ,age adjusted ,INTERNATIONAL-DIABETES-FEDERATION ,03 medical and health sciences ,BMI ,0302 clinical medicine ,Endocrinology ,ISOLATED SYSTOLIC HYPERTENSION ,PRESSURE TREATMENT TARGETS ,Internal medicine ,Internal Medicine ,medicine ,3RD NATIONAL-HEALTH ,sex ,US POPULATION ,Abdominal obesity ,Gender disparity ,2. Zero hunger ,lcsh:RC648-665 ,Age differences ,business.industry ,Research ,blood pressure ,medicine.disease ,3. Good health ,Blood pressure ,CARDIOVASCULAR-DISEASE ,RISK-FACTORS ,medicine.symptom ,Metabolic syndrome ,business ,Body mass index ,Cohort study - Abstract
Introduction To evaluate the prevalence of metabolic syndrome (MetS) and its individual components within sex-, body mass index (BMI)- and age combined clusters. In addition, we used the age-adjusted blood pressure thresholds to demonstrate the effect on the prevalence of MetS and elevated blood pressure. Subjects and methods Cross-sectional data from 74,531 Western European participants, aged 18–79 years, were used from the Dutch Lifelines Cohort Study. MetS was defined according to the revised NCEP-ATPIII. Age-adjusted blood pressure thresholds were defined as recommended by the eight reports of the Joint National Committee (≥140/90 mmHg for those aged Results 19.2% men and 12.1% women had MetS. MetS prevalence increased with BMI and age. Independent of BMI, abdominal obesity dominated MetS prevalence especially in women, while elevated blood pressure was already highly prevalent among young men. Applying age-adjusted blood pressure thresholds resulted in a 0.2–11.9% prevalence drop in MetS and 6.0–36.3% prevalence drop in elevated blood pressure, within the combined sex, BMI and age clusters. Conclusions We observed a gender disparity with age and BMI for the prevalence of MetS and, especially, abdominal obesity and elevated blood pressure. The strict threshold level for elevated blood pressure in the revised NCEP-ATPIII, results in an overestimation of MetS prevalence.
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- 2017
44. Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults
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Amélie Bonnefond, Nancy L. Heard-Costa, Julius S. Ngwa, Jennifer E. Huffman, Tanja B. Grammer, Jaakko Tuomilehto, Lu Qi, Nicholas G. Martin, Massimo Mangino, Henrik Vestergaard, Penny Gordon-Larsen, Reedik Mägi, Natalia V. Rivera, Charles Kooperberg, Alain G. Bertoni, Sarah H. Wild, Robert Luben, Veikko Salomaa, Claude Bouchard, Lynda M. Rose, Patricia A. Peyser, Graciela E. Delgado, Jessica D. Faul, Tuija Tammelin, John C. Chambers, Tsegaselassie Workalemahu, Kari E. North, David J. Porteous, Peter Vollenweider, Kennet Harald, Claire Bellis, Serena Sanna, Nicholas D. Hastie, Robert J. Klein, Marie-Claude Vohl, Ruth J. F. Loos, Jian Gong, Igor Rudan, Unhee Lim, Christopher A. Haiman, Martina Müller-Nurasyid, Konstantin Strauch, Mark A. Sarzynski, Albert V. Smith, Mark Walker, Tapani Ebeling, Göran Hallmans, Nicole Dueker, Caroline S. Fox, Sven Bergmann, Keri L. Monda, Thorkild I. A. Sørensen, André G. Uitterlinden, Johanne Marie Justesen, Aki S. Havulinna, Torben Hansen, Ivana Kolcic, Cecilia M. Lindgren, Marcel den Hoed, Richard N. Bergman, Mariaelisa Graff, Alan R. Shuldiner, Dorota Pasko, James F. Wilson, John Whitfield, Joel Eriksson, Jaspal S. Kooner, Mette Hollensted, Winfried März, Gonçalo R. Abecasis, Weihua Zhang, Harold Snieder, Rajesh Rawal, Tao Huang, Åsa Johansson, Lydia Quaye, Ying Wu, Benjamin Lehne, Matthias Nauck, Caroline Hayward, Linda S. Adair, Michel Marre, Tanguy Corre, Alan James, Frida Renström, Jian'an Luan, Zoltán Kutalik, Kurt Lohman, Jennifer A. Smith, Mao Fu, Jennifer L. Bragg-Gresham, Tamara B. Harris, Claudia Langenberg, Tõnu Esko, Mattias Lorentzon, Ken K. Ong, Blair H. Smith, Fabio Busonero, Alan F. Wright, Gemma Cadby, Andrew D. Johnson, Steve Buyske, Anubha Mahajan, Antonella Mulas, Gérard Waeber, Lori L. Bonnycastle, Daniel I. Chasman, Jennie Hui, Audrey Y. Chu, Uwe Völker, Albertine J. Oldehinkel, Jing Hua Zhao, Robert A. Scott, Ilja M. Nolte, Loic LeMarchand, Yu-Ching Cheng, David P. Strachan, Jie Huang, Gerard van Grootheest, John D. Eicher, Marcus E. Kleber, Francis S. Collins, Cornelia M. van Duijn, Timothy M. Frayling, Pau Navarro, Leo-Pekka Lyytikäinen, Cinzia Sarti, Paul M. Ridker, John-Olov Jansson, Shafqat Ahmad, Philippe Froguel, Albert Hofman, Inga Prokopenko, Vilmundur Gudnason, Anne U. Jackson, David R. Weir, Lyle J. Palmer, Alexander Teumer, Ulf Gyllensten, Mette Aadahl, Niels Grarup, Beverley Balkau, Oluf Pedersen, Cornelia Huth, Dorret I. Boomsma, Harry Campbell, Charlotte Huppertz, Ingrid B. Borecki, Juha Auvinen, Soren Snitker, Yuri Milaneschi, Iris M. Heid, Barbara Thorand, Wouter J. Peyrot, Lavinia Paternoster, Sian-Tsung Tan, Anne E. Justice, Dena G. Hernandez, Marcus Dörr, Nicholas J. Wareham, Marilyn C. Cornelis, Claes Ohlsson, Amy J. Swift, Ozren Polasek, Brenda W.J.H. Penninx, James E. Hayes, Stephanie A. Bien, Jana V. van Vliet-Ostaptchouk, Eric Boerwinkle, Louis Pérusse, Peter J. van der Most, Ulrike Peters, Pirjo Komulainen, Lynne J. Hocking, Catharina A. Hartman, William R. Scott, Jeffrey R. O'Connell, Stefania Bandinelli, Tuomo Rankinen, Timo A. Lakka, Leena Kinnunen, Markus Perola, John Blangero, Sharon L.R. Kardia, Veronique Vitart, Mika Kähönen, Marie Neergaard Harder, Diana Kuh, Kai Savonen, Kristin L. Young, Jeremiah Perez, Nina Hutri-Kähönen, George Davey Smith, Toshiko Tanaka, Barbara Sternfeld, Jennifer A. Nettleton, Jouke-Jan Hottenga, Christian Gieger, Gonneke Willemsen, Soren Brage, Mika Kivimäki, Lucia A. Hindorff, Steve Sidney, Tarunveer S. Ahluwalia, Liesbeth Vandenput, Loic Yengo, Markku Laakso, Yongmei Liu, Arthur W. Musk, Harald Grallert, Kirsti Kvaløy, Rainer Rauramaa, Satu Männistö, Tuomas O. Kilpeläinen, M. Carola Zillikens, Hannu Puolijoki, Luting Xue, Oddgeir L. Holmens, Sandosh Padmanabhan, Inês Barroso, Ching-Ti Liu, L. Adrienne Cupples, Judith B. Borja, Karen L. Mohlke, Matthias Olden, Henry Völzke, Myriam Fornage, Michael Boehnke, Pedro Marques-Vidal, John Beilby, Fernando Rivadeneira, Maija Hassinen, Najaf Amin, Kristian Hveem, Gudny Eiriksdottir, Lenore J. Launer, Johanna Kuusisto, Dorothée Thuillier, Heather M. Stringham, Sven Gläser, Min A. Jhun, Marjo-Riitta Järvelin, Niha Zubair, Annette Peters, Llilda Barata, Paula J. Griffin, Markus Juonala, Wei Zhao, Andres Metspalu, Christina Holzapfel, Lawrence F. Bielak, Thomas W. Winkler, Alena Stančáková, Anke Tönjes, Narisu Narisu, David Hadley, Peter S. Chines, Andrew Wong, Günther Silbernagel, Kati Kristiansson, Eco J. C. de Geus, Grant W. Montgomery, Elise Lim, Laura J. Rasmussen-Torvik, Terho Lehtimäki, Heikki A. Koistinen, Meena Kumari, Qibin Qi, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Reija Männikkö, Jonathan Marten, Olli T. Raitakari, Mary F. Feitosa, Paul W. Franks, Kristine Færch, Mark I. McCarthy, Marleen H.M. de Moor, Joel N. Hirschhorn, Toomas Haller, Graff, Mariaelisa [0000-0001-6380-1735], Young, Kristin L [0000-0003-0070-6145], Winkler, Thomas W [0000-0003-0292-5421], Heard-Costa, Nancy L [0000-0001-9730-0306], Renström, Frida [0000-0001-6053-298X], Barroso, Inês [0000-0001-5800-4520], Strachan, David P [0000-0001-7854-1366], Liu, Ching-Ti [0000-0002-0703-0742], Klein, Robert J [0000-0003-3539-5391], Apollo - University of Cambridge Repository, University of Helsinki, Institute for Molecular Medicine Finland, Quantitative Genetics, Clinicum, Department of Medicine, Endokrinologian yksikkö, HUS Internal Medicine and Rehabilitation, Complex Disease Genetics, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, CHARGE Consortium, EPIC-InterAct Consortium, PAGE Consortium, Edwards, Todd L., Biological Psychology, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Clinical Child and Family Studies, APH - Methodology, School of Medicine / Biomedicine, Public and occupational health, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Epidemiology, Medical Microbiology & Infectious Diseases, Erasmus MC other, Child and Adolescent Psychiatry / Psychology, and Internal Medicine
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Netherlands Twin Register (NTR) ,Epigenomics ,Male ,Genome-wide association study ,genome ,obesity ,BMI ,Body Mass Index ,0302 clinical medicine ,Cell Signaling ,Public and Occupational Health ,GENE-EXPRESSION ,Adiposity ,Genetics & Heredity ,ADIPOCYTE DIFFERENTIATION ,1184 Genetics, developmental biology, physiology ,Genomics ,Functional Genomics ,3. Good health ,Meta-analysis ,Physical Sciences ,REACTIVE PROTEIN-LEVELS ,Waist Circumference ,Statistics (Mathematics) ,Waist ,Genotype ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Single-nucleotide polymorphism ,Locus (genetics) ,BINDING PROTEIN ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Genome-Wide Association Studies ,Genetics ,Humans ,Statistical Methods ,Molecular Biology ,Exercise ,Ecology, Evolution, Behavior and Systematics ,0604 Genetics ,Science & Technology ,ASSOCIATION METAANALYSIS ,Physical activity ,ta1184 ,Biology and Life Sciences ,Computational Biology ,Physical Activity ,030104 developmental biology ,Genetic Loci ,Body mass index ,Mathematics ,030217 neurology & neurosurgery ,Meta-Analysis ,Developmental Biology ,BODY-MASS INDEX ,IDENTICAL-TWINS ,ACTIVITY QUESTIONNAIRES ,FAT DISTRIBUTION ,FOOD-INTAKE ,0301 basic medicine ,Cancer Research ,Medicin och hälsovetenskap ,Offita ,Physiology ,FTO gene ,Genome-wide association studies ,Medical and Health Sciences ,Mathematical and Statistical Techniques ,Waist–hip ratio ,Medicine and Health Sciences ,Genetics (clinical) ,Public Health, Global Health, Social Medicine and Epidemiology ,Physiological Parameters ,Female ,Genomic Signal Processing ,Life Sciences & Biomedicine ,Research Article ,Signal Transduction ,lcsh:QH426-470 ,Biology ,Research and Analysis Methods ,Hreyfing (heilsurækt) ,Journal Article ,Erfðafræði ,Genetic Predisposition to Disease ,Obesity ,Waist-Hip Ratio ,Body Weight ,Human Genetics ,Cell Biology ,Rannsóknir ,Genome Analysis ,lcsh:Genetics ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,3111 Biomedicine ,Genome-Wide Association Study - 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., 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; the National Institutes of Health; or the U.S. Department of Health and Human Services. Funding for this study was provided by the Aase and Ejner Danielsens Foundation; Academy of Finland (102318; 104781, 120315, 123885, 129619, 286284, 134309, 126925, 121584, 124282, 129378, 117787, 250207, 258753, 41071, 77299, 124243, 1114194, 24300796); Accare Center for Child and Adolescent Psychiatry; Action on Hearing Loss (G51); Agence Nationale de la Recherche; Agency for Health Care Policy Research (HS06516); Age UK Research into Ageing Fund; Åke Wiberg Foundation; ALF/LUA Research Grant in Gothenburg; ALFEDIAM; ALK-Abello´ A/S (Hørsholm, Denmark); American Heart Association (13POST16500011, 10SDG269004); Ardix Medical; Arthritis Research UK; Association Diabète Risque Vasculaire; AstraZeneca; Australian Associated Brewers; Australian National Health and Medical Research Council (241944, 339462, 389927, 389875, 389891, 389892, 389938, 442915, 442981, 496739, 552485, 552498); Avera Research Institute; Bayer Diagnostics; Becton Dickinson; Biobanking and Biomolecular Resources Research Infrastructure (BBMRI –NL, 184.021.007); Biocentrum Helsinki; Boston Obesity Nutrition Research Center (DK46200); British Heart Foundation (RG/10/12/28456, SP/04/002); Canada Foundation for Innovation; Canadian Institutes of Health Research (FRN-CCT-83028); Cancer Research UK; Cardionics; Center for Medical Systems Biology; Center of Excellence in Complex Disease Genetics and SALVECenter of Excellence in Genomics (EXCEGEN); Chief Scientist Office of the Scottish Government; City of Kuopio; 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–1331-007308); Danish Diabetes Academy; Danish Medical Research Council; Department of Psychology and Education of the VU University Amsterdam; Diabetes Hilfs- und Forschungsfonds Deutschland; Dutch Brain Foundation; Dutch Ministry of Justice; Emil Aaltonen Foundation; Erasmus Medical Center; Erasmus University; Estonian Government (IUT20-60, IUT24-6); Estonian Ministry of Education and Research (3.2.0304.11-0312); European Commission (230374, 284167, 323195, 692145, FP7 EurHEALTHAgeing-277849, FP7 BBMRI-LPC 313010, nr 602633, HEALTH-F2-2008-201865-GEFOS, HEALTH-F4-2007-201413, FP6 LSHM-CT-2004-005272, FP5 QLG2-CT-2002-01254, FP6 LSHG-CT-2006-01947, FP7 HEALTH-F4-2007-201413, FP7 279143, FP7 201668, FP7 305739, FP6 LSHG-CT-2006-018947, HEALTH-F4-2007-201413, QLG1-CT-2001-01252); European Regional Development Fund; European Science Foundation (EuroSTRESS project FP-006, ESF, EU/QLRT-2001-01254); Faculty of Biology and Medicine of Lausanne; Federal Ministry of Education and Research (01ZZ9603, 01ZZ0103, 01ZZ0403, 03ZIK012, 03IS2061A); Federal State of Mecklenburg - West Pomerania; Fédération Française de Cardiologie; Finnish Cultural Foundation; Finnish Diabetes Association; Finnish Foundation of Cardiovascular Research; Finnish Heart Association; Food Standards Agency; Fondation de France; Fonds Santé; Genetic Association Information Network of the Foundation for the National Institutes of Health; German Diabetes Association; German Federal Ministry of Education and Research (BMBF, 01ER1206, 01ER1507); German Research Council (SFB-1052, SPP 1629 TO 718/2-1); GlaxoSmithKline; Göran Gustafssons Foundation; Göteborg Medical Society; Health and Safety Executive; Heart Foundation of Northern Sweden; Icelandic Heart Association; Icelandic Parliament; Imperial College Healthcare NHS Trust; INSERM, Réseaux en Santé Publique, Interactions entre les déterminants de la santé; Interreg IV Oberrhein Program (A28); Italian Ministry of Economy and Finance; Italian Ministry of Health (ICS110.1/RF97.71); John D and Catherine T MacArthur Foundation; Juho Vainio Foundation; King's College London; Kjell och Märta Beijers Foundation; Kuopio University Hospital; Kuopio, Tampere and Turku University Hospital Medical Funds (X51001); Leiden University Medical Center; Lilly; LMUinnovativ; Lundbeck Foundation; Lundberg Foundation; Medical Research Council of Canada; MEKOS Laboratories (Denmark); Merck Santé; Mid-Atlantic Nutrition Obesity Research Center (P30 DK72488); Ministère de l’Économie, de l’Innovation et des Exportations; Ministry for Health, Welfare and Sports of the Netherlands; Ministry of Cultural Affairs of the Federal State of Mecklenburg-West Pomerania; Ministry of Education and Culture of Finland (627;2004-2011); Ministry of Education, Culture and Science of the Netherlands; MRC Human Genetics Unit; MRC-GlaxoSmithKline Pilot Programme Grant (G0701863); Municipality of Rotterdam; Netherlands Bioinformatics Centre (2008.024); Netherlands Consortium for Healthy Aging (050-060-810); Netherlands Genomics Initiative; Netherlands Organisation for Health Research and Development (904-61-090, 985-10-002, 904-61-193, 480-04-004, 400-05-717, Addiction-31160008, Middelgroot-911-09-032, Spinozapremie 56-464-14192); Netherlands Organisation for Health Research and Development (2010/31471/ZONMW); Netherlands Organisation for Scientific Research (10-000-1002, GB-MW 940-38-011, 100-001-004, 60-60600-97-118, 261-98-710, GB-MaGW 480-01-006, GB-MaGW 480-07-001, GB-MaGW 452-04-314, GB-MaGW 452-06-004, 175.010.2003.005, 175.010.2005.011, 481-08-013, 480-05-003, 911-03-012); Neuroscience Campus Amsterdam; NHS Foundation Trust; Novartis Pharmaceuticals; Novo Nordisk; Office National Interprofessionel des Vins; Paavo Nurmi Foundation; Påhlssons Foundation; Päivikki and Sakari Sohlberg Foundation; Pierre Fabre; Republic of Croatia Ministry of Science, Education and Sport (108-1080315-0302); Research Centre for Prevention and Health, the Capital Region for Denmark; Research Institute for Diseases in the Elderly (014-93-015, RIDE2); Roche; Russian Foundation for Basic Research (NWO-RFBR 047.017.043); Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06); Sanofi-Aventis; Scottish Executive Health Department (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 Diabète; State of Bavaria; Stroke Association; Swedish Diabetes Association; Swedish Foundation for Strategic Research; Swedish Heart-Lung Foundation (20140543); Swedish Research Council (2015-03657); Swedish Medical Research Council (K2007-66X-20270-01-3, 2011-2354); Swedish Society for Medical Research; Swiss National Science Foundation (33CSCO-122661, 33CS30-139468, 33CS30-148401); Tampere Tuberculosis Foundation; The Marcus Borgström Foundation; The Royal Society; The Wellcome Trust (084723/Z/08/Z, 088869/B/09/Z); Timber Merchant Vilhelm Bangs Foundation; Topcon; Torsten and Ragnar Söderberg's Foundation; UK Department of Health; UK Diabetes Association; UK Medical Research Council (MC_U106179471, G0500539, G0600705, G0601966, G0700931, G1002319, K013351, MC_UU_12019/1); UK National Institute for Health Research BioResource Clinical Research Facility and Biomedical Research Centre; UK National Institute for Health Research (NIHR) Comprehensive Biomedical Research Centre; UK National Institute for Health Research (RP-PG-0407-10371); Umeå University Career Development Award; United States – Israel Binational Science Foundation Grant (2011036); University Hospital Oulu (75617); University Medical Center Groningen; University of Tartu (SP1GVARENG); National Institutes of Health (AG13196, CA047988, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, HHSC271201100004C, HHSN268200900041C, HHSN268201300025C, HHSN268201300026C, HHSN268201300027C, HHSN268201300028C, HHSN268201300029C, HHSN268201500001I, HL36310, HG002651, HL034594, HL054457, HL054481, HL071981, HL084729, HL119443, HL126024, N01-AG12100, N01-AG12109, N01-HC25195, N01-HC55015, N01-HC55016, N01-HC55018, N01-HC55019, N01-HC55020, N01-HC55021, N01-HC55022, N01-HD95159, N01-HD95160, N01-HD95161, N01-HD95162, N01-HD95163, N01-HD95164, N01-HD95165, N01-HD95166, N01-HD95167, N01-HD95168, N01-HD95169, N01-HG65403, N02-HL64278, R01-HD057194, R01-HL087641, R01-HL59367, R01HL-086694, R01-HL088451, R24-HD050924, U01-HG-004402, HHSN268200625226C, UL1-RR025005, UL1-RR025005, UL1-TR-001079, UL1-TR-00040, AA07535, AA10248, AA11998, AA13320, AA13321, AA13326, AA14041, AA17688, DA12854, MH081802, MH66206, R01-D004215701A, R01-DK075787, R01-DK089256, R01-DK8925601, R01-HL088451, R01-HL117078, R01-DK062370, R01-DK072193, DK091718, DK100383, DK078616, 1Z01-HG000024, HL087660, HL100245, R01DK089256, 2T32HL007055-36, U01-HL072515-06, U01-HL84756, NIA-U01AG009740, RC2-AG036495, RC4-AG039029, R03 AG046389, 263-MA-410953, 263-MD-9164, 263-MD-821336, U01-HG004802, R37CA54281, R01CA63, P01CA33619, U01-CA136792, U01-CA98758, RC2-MH089951, MH085520, R01-D0042157-01A, MH081802, 1RC2-MH089951, 1RC2-MH089995, 1RL1MH08326801, U01-HG007376, 5R01-HL08767902, 5R01MH63706:02, HG004790, N01-WH22110, U01-HG007033, UM1CA182913, 24152, 32100-2, 32105-6, 32108-9, 32111-13, 32115, 32118-32119, 32122, 42107-26, 42129-32, 44221); USDA National Institute of Food and Agriculture (2007-35205-17883); Västra Götaland Foundation; Velux Foundation; Veterans Affairs (1 IK2 BX001823); Vleugels Foundation; VU University’s Institute for Health and Care Research (EMGO+, HEALTH-F4-2007-201413) and Neuroscience Campus Amsterdam; Wellcome Trust (090532, 091551, 098051, 098381); Wissenschaftsoffensive TMO; and Yrjö Jahnsson Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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45. Skin autofluorescence, a non-invasive biomarker for advanced glycation end products, is associated with the metabolic syndrome and its individual components
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Helen L. Lutgers, Sandra N. Slagter, Robert P. van Waateringe, Melanie M. van der Klauw, Jana V. van Vliet-Ostaptchouk, André P van Beek, Bruce H. R. Wolffenbuttel, Andrew D. Paterson, Reindert Graaff, Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Life Course Epidemiology (LCE)
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medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,Population ,030209 endocrinology & metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Insulin resistance ,Diabetes mellitus ,Internal medicine ,Internal Medicine ,medicine ,ARTERY-DISEASE ,Prospective cohort study ,education ,lcsh:RC620-627 ,ACCUMULATION ,INSULIN-RESISTANCE ,education.field_of_study ,business.industry ,Research ,fungi ,medicine.disease ,PREVALENCE ,3. Good health ,lcsh:Nutritional diseases. Deficiency diseases ,Endocrinology ,CARDIOVASCULAR-DISEASE ,OBESITY ,DIABETIC COMPLICATIONS ,RISK-FACTORS ,Biomarker (medicine) ,Metabolic syndrome ,HDL ANTIOXIDATIVE CAPACITY ,business ,MAILLARD REACTION ,Cohort study - Abstract
Background: The metabolic syndrome (MetS) comprises several cardiometabolic risk factors associated with increased risk for both type 2 diabetes and cardiovascular disease. Skin autofluorescence (SAF), a non-invasive bio-marker of advanced glycation end products accumulation, is associated with cardiovascular complications in subjects with diabetes. The aim of the present study was to examine the association between SAF and the presence of MetS as well as its individual components in a general population.Methods: For this cross-sectional analysis, we included 78,671 non-diabetic subjects between 18 and 80 years of age who participated in the LifeLines Cohort Study and had SAF measurement obtained non-invasively using the AGE Reader. MetS was defined according to the revised NCEP ATP III criteria. Students unpaired t test was used to test differences between groups. Both logistic and linear regression analyses were performed in order to test associations between the individual MetS components and SAF.Results: Subjects with MetS had higher SAF (2.07 +/- 0.45 arbitrary units, AU) compared to individuals without MetS (1.89 +/- 0.42 AU) (p Conclusion: Skin autofluorescence was associated with the presence of MetS and some of its individual components. In addition, increasing SAF Z-scores were observed with a higher number of MetS components. Prospective studies are needed to establish whether SAF can be used as an (additional) screening tool to predict both cardiovascular disease and type 2 diabetes in high-risk populations.
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- 2017
46. Genetic evidence of assortative mating in humans
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Matt McGue, Jian Yang, Brendan P. Zietsch, Matthew R. Robinson, Wouter J. Peyrot, Harold Snieder, Anna A. E. Vinkhuyzen, Peter M. Visscher, Abdel Abdellaoui, Sarah E. Medland, Mariaelisa Graff, Patrik K. E. Magnusson, Nicholas G. Martin, Aaron Kleinman, Ilja M. Nolte, Michael B. Miller, Jana V. van Vliet-Ostaptchouk, Kari E. North, David Couper, William G. Iacono, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Life Course Epidemiology (LCE), Center for Liver, Digestive and Metabolic Diseases (CLDM), Biological Psychology, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
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0301 basic medicine ,Social Psychology ,Experimental and Cognitive Psychology ,Genome-wide association study ,Biology ,Quantitative trait locus ,VARIANTS ,DISEASE ,03 medical and health sciences ,Behavioral Neuroscience ,SDG 17 - Partnerships for the Goals ,STRATIFICATION ,GENOME-WIDE ASSOCIATION ,Behavioural genetics ,Genetic association ,RISK ,EDUCATIONAL-ATTAINMENT ,Assortative mating ,Phenotypic trait ,Genetic architecture ,FINNISH TWINS ,BODY-MASS INDEX ,MATE CHOICE ,030104 developmental biology ,Mate choice ,Evolutionary biology ,HUMAN HEIGHT - Abstract
In human populations, assortative mating is almost univer-sally positive, with similarities between partners for quantit-ative phenotypes 1-6, common disease risk 1,3,7-10, beha-vi-our 6,11, social factors 12-14 and personality 4,5,11. The causes and genetic consequences of assortative mating remain un-re-solved because partner similarity can arise from different mechanisms: Phenotypic assortment based on mate choice 15,16, partner interaction and convergence in phenotype over time 14,17, or social homogamy where individuals pair according to social or environmental background. Here, we present theory and an analytical approach to test for genetic evidence of assortative mating and find a correlation in genetic value among partners for a range of phenotypes. Across three independent samples of 24,662 spousal pairs in total, we infer a correlation at trait-associated loci between partners for height (0.200, 0.004 standard error, SE) that matched the phenotypic correlation (0.201, 0.004 SE), and a correlation at trait-associated loci for BMI (0.143, 0.007 SE) that was significantly lower than the phenotypic value (0.228, 0.004 SE). We extend our analysis to the UK Biobank study (7,780 pairs), finding evidence of a correlation at trait-associated loci for waist-to-hip ratio (0.101, 0.041 SE), systolic blood pressure (0.138, 0.064 SE) and educational attainment (0.654, 0.014 SE). Our results imply that mate choice, combined with widespread pleiotropy among traits, affects the genomic architecture of traits in humans.
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- 2017
47. Distribution of Non-Persistent Endocrine Disruptors in Two Different Regions of the Human Brain
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Dicky Struik, Konstantinos C. Makris, Francisco Artacho-Cordón, Dick F. Swaab, Jana V. van Vliet-Ostaptchouk, Bruce H. R. Wolffenbuttel, Hanne Frederiksen, Thomas P van der Meer, Netherlands Institute for Neuroscience (NIN), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), [van der Meer, Thomas P.] Univ Groningen, Univ Med Ctr Groningen, Dept Endocrinol, NL-9713 GZ Groningen, Netherlands, [Wolffenbuttel, Bruce H. R.] Univ Groningen, Univ Med Ctr Groningen, Dept Endocrinol, NL-9713 GZ Groningen, Netherlands, [van Vliet-Ostaptchouk, Jana V.] Univ Groningen, Univ Med Ctr Groningen, Dept Endocrinol, NL-9713 GZ Groningen, Netherlands, [Artacho-Cordon, Francisco] Univ Granada, Radiol & Phys Med Dept, Ibs Granada, Granada 18016, Spain, [Swaab, Dick F.] Netherlands Inst Neurosci, NL-1105 BA Amsterdam, Netherlands, [Struik, Dicky] Univ Groningen, Univ Med Ctr Groningen, Dept Pediat, Sect Mol Metab & Nutr, NL-9713 GZ Groningen, Netherlands, [Makris, Konstantinos C.] Cyprus Univ Technol, Cyprus Int Inst Environm & Publ Hlth, CY-3041 Limassol, Cyprus, [Frederiksen, Hanne] Copenhagen Univ Hosp, Rigshosp, Dept Growth & Reprod, Blegdamsvej 9, DK-2100 Copenhagen, Denmark, Dutch Diabetes Research Foundation, National Consortium for Healthy Ageing (NCHA) (NCHA NGI), BioSHaRE-EU (Biobank Standardization and Harmonization for Research Excellence in the European Union), International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), and Danish Center on Endocrine Disrupters
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0301 basic medicine ,Male ,obesity ,Bisphenol-A ,Health, Toxicology and Mutagenesis ,lcsh:Medicine ,Pilot Projects ,phenols ,010501 environmental sciences ,Endocrine Disruptors ,01 natural sciences ,HUMAN ADIPOSE-TISSUE ,parabens ,chemistry.chemical_compound ,bisphenol-A ,ADIPONECTIN ,Tandem Mass Spectrometry ,hypothalamus ,Methylparaben ,methylparaben ,Chemistry ,Brief Report ,Brain ,ENVIRONMENTAL CHEMICALS ,ASSOCIATION ,Human brain ,Human exposure ,3. Good health ,Paraben ,Environmental chemicals ,medicine.anatomical_structure ,Hypothalamus ,PUBLIC-HEALTH ,Environmental Pollutants ,Female ,Adiponectin ,Earth and Related Environmental Sciences ,Natural Sciences ,BISPHENOL-A CONCENTRATION ,Adult ,medicine.medical_specialty ,DISORDERS ,Triclocarban ,brain ,Parabens ,TRICLOSAN ,Association ,03 medical and health sciences ,Phenols ,Internal medicine ,medicine ,Journal Article ,Endocrine system ,Humans ,Obesity ,0105 earth and related environmental sciences ,lcsh:R ,Public Health, Environmental and Occupational Health ,Bisphenol-a concentration ,Environmental Exposure ,Triclosan ,030104 developmental biology ,Endocrinology ,HUMAN EXPOSURE ,Statement ,Human adipose-tissue ,Body mass index ,Chromatography, Liquid - Abstract
Non-persistent endocrine disrupting chemicals (npEDCs) can affect multiple organs and systems in the body. Whether npEDCs can accumulate in the human brain is largely unknown. The major aim of this pilot study was to examine the presence of environmental phenols and parabens in two distinct brain regions: the hypothalamus and white-matter tissue. In addition, a potential association between these npEDCs concentrations and obesity was investigated. Post-mortem brain material was obtained from 24 individuals, made up of 12 obese and 12 normal-weight subjects (defined as body mass index (BMI) > 30 and BMI < 25 kg/m2, respectively). Nine phenols and seven parabens were measured by isotope dilution TurboFlow-LC-MS/MS. In the hypothalamus, seven suspect npEDCs (bisphenol A, triclosan, triclocarban and methyl-, ethyl-, n-propyl-, and benzyl paraben) were detected, while five npEDCs (bisphenol A, benzophenone-3, triclocarban, methyl-, and n-propyl paraben) were found in the white-matter brain tissue. We observed higher levels of methylparaben (MeP) in the hypothalamic tissue of obese subjects as compared to controls (p = 0.008). Our findings indicate that some suspected npEDCs are able to cross the blood–brain barrier. Whether the presence of npEDCs can adversely affect brain function and to which extent the detected concentrations are physiologically relevant needs to be further investigated., Jana V. van Vliet-Ostaptchouk is supported by a Diabetes Funds Junior Fellowship from the Dutch Diabetes Research Foundation (project no. 2013.81.1673). This work was supported by the National Consortium for Healthy Ageing (NCHA) (NCHA NGI Grant 050-060-810), and the European Union’s Seventh Framework program (FP7/2007-2013) through the BioSHaRE-EU (Biobank Standardization and Harmonization for Research Excellence in the European Union) project, grant agreement 261433, and by the Danish Center on Endocrine Disrupters and the International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC).
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- 2017
48. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits
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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
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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.
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49. Influence of storage and inter- and Intra-assay variability on the measurement of inflammatory biomarkers in population-based biobanking
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Kristian Hveem, Jan Koerts, Anneke C. Muller Kobold, Bruce H. R. Wolffenbuttel, Kirsti Kvaløy, Annette Peters, Marit Næss, Robert P. van Waateringe, Vibeke Videm, Gabriele Anton, Wolfgang Koenig, Gerlinde Trischler, Jana V. van Vliet-Ostaptchouk, Melanie M. van der Klauw, Melanie Waldenberger, Lifestyle Medicine (LM), Life Course Epidemiology (LCE), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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Male ,0301 basic medicine ,BLOOD ,PROTEIN ,Medicine (miscellaneous) ,Gastroenterology ,VARIABLES ,biobanking ,Short term stability ,Biological Specimen Banks ,Aged, 80 and over ,PLASMA ,Plasma samples ,General Medicine ,Middle Aged ,Inflammatory biomarkers ,Biobank ,C-Reactive Protein ,Elisa ,Assay ,Biobanking ,Nephelometry ,Storage ,Variability ,Female ,ELISA ,HUMAN SERUM ,Adult ,medicine.medical_specialty ,Enzyme-Linked Immunosorbent Assay ,Population based ,SHORT-TERM STABILITY ,General Biochemistry, Genetics and Molecular Biology ,Specimen Handling ,storage ,nephelometry ,03 medical and health sciences ,Internal medicine ,medicine ,Humans ,Obesity ,Aged ,Reproducibility ,Interleukin-6 ,Tumor Necrosis Factor-alpha ,variability ,business.industry ,Reproducibility of Results ,Cell Biology ,assay ,030104 developmental biology ,BIOSPECIMENS ,Immunology ,business ,Biomarkers - Abstract
Background: In the present study, we examined the effect of sample storage on the reproducibility of several inflammatory biomarkers, including high-sensitivity C-reactive protein (hsCRP), high-sensitivity interleukin-6 (hsIL6), and high-sensitivity tumor necrosis factor alpha (hsTNFα). In addition, we assessed inter- and intra-assay variability between collaborating biobanks.Methods: In total, 240 fasting plasma samples were obtained from the LifeLines biobank. Samples had been stored for less than 2 or more than 4 years at −80°C. Measurements were performed at three different laboratories. hsCRP was measured by immunonephelometry and ELISA, hsIL6, and hsTNFα samples were measured with ELISAs from two different manufacturers. For confirmation, similar analyses were performed on samples obtained from a subpopulation of 80 obese individuals. Passing–Bablok regression analysis and Bland–Altman plots were used to compare the results.Results: We observed good stability of samples stored at −80°C. hsCRP measured on the day of blood draw was similar to levels measured after more than 4 years of storage. There were small interlaboratory differences with the R&D ELISAs for hsIL6 and hsTNFα. We found a linear correlation between the Bender Medsystems ELISA and the R&D ELISA for hsIL6, with significantly higher levels measured with the R&D ELISA. Over 90% of hsTNFα samples measured with the IBL ELISA were below the detection limit of 0.13 ng/L, rendering this assay unsuitable for large-scale analysis. Similar results were found in the confirmation study.Conclusion: In summary, plasma hsCRP showed good stability in samples stored for either less than 2 years or more than 4 years at −80°C. Both the R&D and Bender Medsystems for hsIL6 measurement yielded similar results. The IBL hsTNFα assay is not suited for use in biobanking samples. Assays for the measurement of inflammatory biomarker assays should be rigorously tested before large sample sets are measured. This is a submitted manuscript of an article published by Mary Ann Liebert in Biopreservation and Biobanking, 1 Dec 2017. Locked until 1.12.2018 due to copyright restrictions.
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- 2017
50. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape
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Niina Eklund, Robert C. Kaplan, Niek Verweij, Marcus Richards, Nancy L. Heard-Costa, Angelo Tremblay, Lu Qi, Andres Metspalu, Mark A. Sarzynski, Charleston W. K. Chiang, Tõnu Esko, Jaana Lindström, Pirro G. Hysi, Torben Hansen, James F. Wilson, Serena Sanna, Marie-Claude Vohl, Lynda M. Rose, Daniele Cusi, Megan T. Smith, Anne U. Jackson, Jing Hua Zhao, Anubha Mahajan, Nele Friedrich, Marcel Bruinenberg, Lori L. Bonnycastle, Ilja M. Nolte, Timothy M. Frayling, Weihua Zhang, Lavinia Paternoster, Jenny van Dongen, Torben Jørgensen, Aarno Palotie, Jana V. van Vliet-Ostaptchouk, Martin Farrall, Konstantin Strauch, Jan Smit, Zoltán Kutalik, Anne E. Justice, Elisabeth Widen, Tuomo Rankinen, Timo A. Lakka, Maria Dimitriou, Louis Pérusse, Peter J. van der Most, Yun Ju Sung, George Dedoussis, Caroline Hayward, Tom Wilsgaard, Peter P. Pramstaller, Maria Karaleftheri, Seppo Koskinen, Clive Osmond, Panos Deloukas, David J. Hunter, Kathleen Stirrups, Nicola Glorioso, Andrew T. Hattersley, Hugh Watkins, Sven Bergmann, Eric Boerwinkle, Catharina A. Hartman, Anke Tönjes, Daniel I. Chasman, May E. Montasser, Alan James, Ben A. Oostra, Nigel W. Rayner, Massimo Mangino, Ron T. Gansevoort, Cristina Barlassina, Johanna Kuusisto, Andrew A. Hicks, Roberto Lorbeer, Tomi Laitinen, Narisu Narisu, Stefan R. Bornstein, Gemma Cadby, Johan G. Eriksson, Gudmar Thorleifsson, Erika Salvi, Jari Lahti, Cornelia M. van Duijn, Janina M. Jeff, Heather M. Stringham, Bruce M. Psaty, Thomas W. Winkler, Paul M. Ridker, Unnur Thorsteinsdottir, Lyle J. Palmer, Alexander Teumer, Jürgen Gräßler, Allan Linneberg, Francesca D'Avila, Markku Heliövaara, Harald Grallert, Ivana Kolcic, Kari E. North, Eleftheria Zeggini, James S. Pankow, Alena Standáková, Marjo-Riitta Järvelin, Ozren Polasek, Krista Fischer, Valeriya Lyssenko, Thorkild I. A. Sørensen, André G. Uitterlinden, Stavroula Kanoni, Caroline S. Fox, Sophie R. Wang, Treva Rice, Maria Grazia Pilia, Olli T. Raitakari, Claudia Langenberg, Thomas Sparsø, Emmanouil Tsafantakis, Irene Pichler, Kathy Ryan, Eero Jokinen, Mika Kähönen, Leif Groop, Irene Mateo Leach, Gabriele Müller, Annette Peters, Peter Vollenweider, Oddgeir L. Holmen, David Schlessinger, Paul Knekt, M. Carola Zillikens, Evelin Mihailov, Erkki Vartiainen, Nicholas J. Wareham, Francis S. Collins, Sirkka Keinänen-Kiukaanniemi, Mark I. McCarthy, Joel N. Hirschhorn, Frank B. Hu, Janina S. Ried, Valgerdur Steinthorsdottir, Shapour Jalilzadeh, Peter Kovacs, Anuj Goel, Pim van der Harst, Peter Schwarz, Mathias Gorski, Jorma Viikari, Uwe Völker, Cecilia M. Lindgren, Theodosios Kyriakou, Morris A. Swertz, Inga Prokopenko, Ken K. Ong, Leena Kinnunen, Markus Perola, Kristian Hveem, Matthias Blüher, Rebecca Mills, Albertine J. Oldehinkel, Anders Hamsten, Mattias Lorentzon, Joel Eriksson, Karen L. Mohlke, Rasmus Ribel-Madsen, Pekka Jousilahti, Paolo Manunta, Eva Albrecht, Jeffrey R. O'Connell, Wendy L. McArdle, Amy J. Swift, Dorret I. Boomsma, Harry Campbell, Fracensco Cucca, Aaron Isaacs, Andrew Wong, Georg Homuth, Laura M. Yerges-Armstrong, Carolina Medina-Gomez, Kay-Tee Khaw, Claes Ohlsson, Claude Bouchard, John Blangero, Aliki-Eleni Farmaki, Lorraine Southam, Anette P. Gjesing, Traci M. Bartz, Dabeeru C. Rao, Andrew P. Morris, David P. Strachan, Nita G. Forouhi, Eco J. C. de Geus, Jaakko Tuomilehto, Antti Jula, Ryan W. Walker, Mary F. Feitosa, Reedik Mägi, Aki S. Havulinna, Inger Njølstad, Alan R. Shudiner, Jennifer E. Huffman, Peter Lichtner, Richard N. Bergman, Mariaelisa Graff, Diana Kuh, Tim D. Spector, Robert Luben, Veikko Salomaa, Christian Gieger, Jaspal S. Kooner, Teresa Ferreira, Jennifer L. Bragg-Gresham, Sylvain Sebert, Terho Lehtimäki, Heikki A. Koistinen, Alexandra M. Lewin, Alexessander Couto Alves, Peter S. Chines, Lise Lotte N. Husemoen, Salome Scholtens, Yii-Der Ida Chen, Kati Kristiansson, Barbara McKnight, Sara M. Willems, Rainer Rauramaa, Satu Männistö, Stephan J. L. Bakker, Angela Döring, Audrey Y. Chu, Niels Grarup, Matti Uusitupa, Hannu Puolijoki, L. Adrienne Cupples, Veronique Vitart, Marie Neergaard Harder, Jouke-Jan Hottenga, Kari Stefansson, Alan F. Wright, Igor Rudan, Keri L. Monda, Jian'an Luan, Robert A. Scott, Albert Hofman, Tarunveer S. Ahluwalia, Liesbeth Vandenput, Maija Hassinen, Sarah H. Wild, Iris M. Heid, Brenda W.J.H. Penninx, John C. Chambers, Claire Bellis, Nicholas D. Hastie, Ruth J. F. Loos, Martina Müller-Nurasyid, Johanne Marie Justesen, Gérard Waeber, Jennie Hui, Gonçalo R. Abecasis, Ishminder K. Kooner, Harold Snieder, Judith M. Vonk, Ioanna Tachmazidou, Ronald P. Stolk, Michael Stumvoll, Till Ittermann, Oluf Pedersen, Ingrid B. Borecki, Gonneke Willemsen, Jagvir Grewal, Markku Laakso, Arthur W. Musk, Eero Kajantie, Hans L. Hillege, Michael Boehnke, Cristina Venturini, Lili Milani, John Beilby, Fernando Rivadeneira, Biochemie, RS: FHML MaCSBio, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, Goel, Anuj [0000-0003-2307-4021], Jackson, Anne U [0000-0002-9672-2547], Kristiansson, Kati [0000-0003-4688-107X], Medina-Gomez, Carolina [0000-0001-7999-5538], Nolte, Ilja M [0000-0001-5047-4077], Prokopenko, Inga [0000-0003-1624-7457], Teumer, Alexander [0000-0002-8309-094X], Wong, Andrew [0000-0003-2079-4779], Beilby, John [0000-0002-4915-2254], Bergmann, Sven [0000-0002-6785-9034], Strachan, David P [0000-0001-7854-1366], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Energy & Sustainability Programme, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Children's Hospital, Lastentautien yksikkö, Clinicum, Institute for Molecular Medicine Finland, Behavioural Sciences, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Department of Medicine, Endokrinologian yksikkö, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, University of Helsinki, Leif Groop Research Group, Quantitative Genetics, HUS Children and Adolescents, Developmental Psychology Research Group, Complex Disease Genetics, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, School of Medicine / Clinical Medicine, School of Medicine / Biomedicine,School of Medicine / Clinical Nutrition, Ried, Janina S., Jeff, Janina M., Chu, Audrey Y., Bragg Gresham, Jennifer L., Van Dongen, Jenny, Huffman, Jennifer E., Ahluwalia, Tarunveer S., Cadby, Gemma, Eklund, Niina, Eriksson, Joel, Esko, Toñu, Feitosa, Mary F., Goel, Anuj, Gorski, Mathia, Hayward, Caroline, Heard Costa, Nancy L., Jackson, Anne U., Jokinen, Eero, Kanoni, Stavroula, Kristiansson, Kati, Kutalik, Zoltán, Lahti, Jari, Luan, Jian'An, Mägi, Reedik, Mahajan, Anubha, Mangino, Massimo, Medina Gomez, Carolina, Monda, Keri L., Nolte, Ilja M., Pérusse, Loui, Prokopenko, Inga, Qi, Lu, Rose, Lynda M., Salvi, Erika, Smith, Megan T., Snieder, Harold, Standáková, Alena, Ju Sung, Yun, Tachmazidou, Ioanna, Teumer, Alexander, Thorleifsson, Gudmar, Van Der Harst, Pim, Walker, Ryan W., Wang, Sophie R., Wild, Sarah H., Willems, Sara M., Wong, Andrew, Zhang, Weihua, Albrecht, Eva, Couto Alves, Alexessander, Bakker, Stephan J. L., Barlassina, Cristina, Bartz, Traci M., Beilby, John, Bellis, Claire, Bergman, Richard N., Bergmann, Sven, Blangero, John, Blüher, Matthia, Boerwinkle, Eric, Bonnycastle, Lori L., Bornstein, Stefan R., Bruinenberg, Marcel, Campbell, Harry, Chen, Yii Der Ida, Chiang, Charleston W. K., Chines, Peter S., Collins, Francis S, Cucca, Fracensco, Cupples, L. Adrienne, D'Avila, Francesca, De Geus, Eco J. C., Dedoussis, George, Dimitriou, Maria, Döring, Angela, Eriksson, Johan G., Farmaki, Aliki Eleni, Farrall, Martin, Ferreira, Teresa, Fischer, Krista, Forouhi, Nita G., Friedrich, Nele, Gjesing, Anette Prior, Glorioso, Nicola, Graff, Mariaelisa, Grallert, Harald, Grarup, Niel, Gräßler, Jürgen, Grewal, Jagvir, Hamsten, Ander, Harder, Marie Neergaard, Hartman, Catharina A., Hassinen, Maija, Hastie, Nichola, Hattersley, Andrew Tym, Havulinna, Aki S., Heliövaara, Markku, Hillege, Han, Hofman, Albert, Holmen, Oddgeir, Homuth, Georg, Hottenga, Jouke Jan, Hui, Jennie, Husemoen, Lise Lotte, Hysi, Pirro G., Isaacs, Aaron, Ittermann, Till, Jalilzadeh, Shapour, James, Alan L., Jørgensen, Torben, Jousilahti, Pekka, Jula, Antti, Marie Justesen, Johanne, Justice, Anne E., Kähönen, Mika, Karaleftheri, Maria, Tee Khaw, Kay, Keinanen Kiukaanniemi, Sirkka M., Kinnunen, Leena, Knekt, Paul B., Koistinen, Heikki A., Kolcic, Ivana, Kooner, Ishminder K., Koskinen, Seppo, Kovacs, Peter, Kyriakou, Theodosio, Laitinen, Tomi, Langenberg, Claudia, Lewin, Alexandra M., Lichtner, Peter, Lindgren, Cecilia M., Lindström, Jaana, Linneberg, Allan, Lorbeer, Roberto, Lorentzon, Mattia, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Manunta, Paolo, Leach, Irene Mateo, Mcardle, Wendy L., Mcknight, Barbara, Mohlke, Karen L., Mihailov, Evelin, Milani, Lili, Mills, Rebecca, Montasser, May E., Morris, Andrew P., Müller, Gabriele, Musk, Arthur W., Narisu, Narisu, Ong, Ken K., Oostra, Ben A., Osmond, Clive, Palotie, Aarno, Pankow, James S., Paternoster, Lavinia, Penninx, Brenda W., Pichler, Irene, Pilia, Maria G., Polašek, Ozren, Pramstaller, Peter P., Raitakari, Olli T, Rankinen, Tuomo, Rao, D. C., Rayner, Nigel W., Ribel Madsen, Rasmu, Rice, Treva K., Richards, Marcu, Ridker, Paul M., Rivadeneira, Fernando, Ryan, Kathy A., Sanna, Serena, Sarzynski, Mark A., Scholtens, Salome, Scott, Robert A., Sebert, Sylvain, Southam, Lorraine, Sparsø, Thomas Hempel, Steinthorsdottir, Valgerdur, Stirrups, Kathleen, Stolk, Ronald P., Strauch, Konstantin, Stringham, Heather M., Swertz, Morris A., Swift, Amy J., Tönjes, Anke, Tsafantakis, Emmanouil, Van Der Most, Peter J., Van Vliet Ostaptchouk, Jana V., Vandenput, Liesbeth, Vartiainen, Erkki, Venturini, Cristina, Verweij, Niek, Viikari, Jorma S., Vitart, Veronique, Vohl, Marie Claude, Vonk, Judith M., Waeber, Gérard, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Winkler, Thomas W., Wright, Alan F., Yerges Armstrong, Laura M., Zhao, Jing Hua, Carola Zillikens, M., Boomsma, Dorret I., Bouchard, Claude, Chambers, John C., Chasman, Daniel I., Cusi, Daniele, Gansevoort, Ron T., Gieger, Christian, Hansen, Torben, Hicks, Andrew A., Hu, Frank, Hveem, Kristian, Jarvelin, Marjo Riitta, Kajantie, Eero, Kooner, Jaspal S., Kuh, Diana, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Metspalu, Andre, Njølstad, Inger, Ohlsson, Clae, Oldehinkel, Albertine J., Palmer, Lyle J., Pedersen, Oluf, Perola, Marku, Peters, Annette, Psaty, Bruce M., Puolijoki, Hannu, Rauramaa, Rainer, Rudan, Igor, Salomaa, Veikko, Schwarz, Peter E. H., Shudiner, Alan R., Smit, Jan H., Sørensen, Thorkild I. A., Spector, Timothy D., Stefansson, Kari, Stumvoll, Michael, Tremblay, Angelo, Tuomilehto, Jaakko, Uitterlinden, André G., Uusitupa, Matti, Völker, Uwe, Vollenweider, Peter, Wareham, Nicholas J., Watkins, Hugh, Wilson, James F., Zeggini, Eleftheria, Abecasis, Goncalo R., Boehnke, Michael, Borecki, Ingrid B., Deloukas, Pano, Van Duijn, Cornelia M., Fox, Caroline, Groop, Leif C., Heid, Iris M., Hunter, David J., Kaplan, Robert C., Mccarthy, Mark I., North, Kari E., O'Connell, Jeffrey R., Schlessinger, David, Thorsteinsdottir, Unnur, Strachan, David P., Frayling, Timothy, Hirschhorn, Joel N., Müller Nurasyid, Martina, Loos, Ruth J. F., Internal medicine, Psychiatry, EMGO - Mental health, Public Health, Epidemiology, Surgery, Internal Medicine, Erasmus MC other, and Child and Adolescent Psychiatry / Psychology
- Subjects
0301 basic medicine ,Netherlands Twin Register (NTR) ,Statistical methods ,General Physics and Astronomy ,Genome-wide association study ,Genome-wide association studies ,Mice ,HEIGHT ,Body Size ,Mass index ,2. Zero hunger ,Genetics ,Principal Component Analysis ,Multidisciplinary ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Anthropometry ,Chemistry (all) ,Phenotype ,Common ,gene, body, shape ,Multidisciplinary Sciences ,Principal component analysis ,Trait ,Science & Technology - Other Topics ,DIET-INDUCED OBESITY ,Waist ,Genotype ,515 Psychology ,Science ,EARLY-ONSET ,Snp ,BIOLOGY ,HIP RATIO ,Genome-wide association studies Statistical methods ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Physics and Astronomy (all) ,MASS INDEX ,DISEASE ASSOCIATIONS ,RESOURCE ,MD Multidisciplinary ,Humans ,GENOME-WIDE ASSOCIATION ,Biochemistry, Genetics and Molecular Biology (all) ,Science & Technology ,Models, Genetic ,ta1184 ,FAT DISTRIBUTION ,General Chemistry ,ta3121 ,030104 developmental biology ,3121 General medicine, internal medicine and other clinical medicine ,3111 Biomedicine ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,Body mass index ,Genome-Wide Association Study - Abstract
Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways., published version, peerReviewed
- Published
- 2016
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