Author: "Renée, de Mutsert" - Searchworks@Jio Institute Digital Library Search Results

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1. Validation of the SQUASH physical activity questionnaire using accelerometry: The NEO study

Author: Sietse E.S. Terpstra, Lotje A. Hoogervorst, Jeroen H.P.M. van der Velde, Renée de Mutsert, Lotte A. van de Stadt, Frits R. Rosendaal, and Margreet Kloppenburg
Subjects: Physical activity, Patient reported outcomes, Quality of life, Epidemiology, Accelerometer, Diseases of the musculoskeletal system, RC925-935
Abstract: Objective: To investigate the construct validity of the SQUASH (Short QUestionnaire to ASsess Health-enhancing physical activity). Design: This is a cross-sectional analysis using baseline measurements from middle-aged participants in the Netherlands Epidemiology of Obesity (NEO) study. The SQUASH consists of questions on eleven physical activities investigating days per week, average duration per day and intensity, leading to a summed score in Metabolic Equivalent of Task hours (MET h) per week. To assess convergent validity, a Spearman's rank correlation between SQUASH and ActiHeart was calculated. To assess extreme group validity, three groups expected to differ in SQUASH total physical activity outcome were compared. For discriminative validity, a Spearman's rank correlation between SQUASH physical activity and participant height was investigated. Results: SQUASH data were available for 6550 participants (mean age 56 years, 44% men, mean BMI 26.3, 15% with knee OA, 13% with hand OA). Median physical activity (interquartile range) was 118 (76; 154) MET h/week according to SQUASH and 75 (58; 99) according to ActiHeart. Convergent validity was weak (rho = 0.20). For all three extreme group comparisons, a statistically significant difference was present. Discriminative validity was present (rho = 0.01). Compared with the reference quintile, those with a discrepancy SQUASH > ActiHeart and SQUASH
Published: 2024
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2. Genetic insights into resting heart rate and its role in cardiovascular disease

Author: Yordi J. van de Vegte, Ruben N. Eppinga, M. Yldau van der Ende, Yanick P. Hagemeijer, Yuvaraj Mahendran, Elias Salfati, Albert V. Smith, Vanessa Y. Tan, Dan E. Arking, Ioanna Ntalla, Emil V. Appel, Claudia Schurmann, Jennifer A. Brody, Rico Rueedi, Ozren Polasek, Gardar Sveinbjornsson, Cecile Lecoeur, Claes Ladenvall, Jing Hua Zhao, Aaron Isaacs, Lihua Wang, Jian’an Luan, Shih-Jen Hwang, Nina Mononen, Kirsi Auro, Anne U. Jackson, Lawrence F. Bielak, Linyao Zeng, Nabi Shah, Maria Nethander, Archie Campbell, Tuomo Rankinen, Sonali Pechlivanis, Lu Qi, Wei Zhao, Federica Rizzi, Toshiko Tanaka, Antonietta Robino, Massimiliano Cocca, Leslie Lange, Martina Müller-Nurasyid, Carolina Roselli, Weihua Zhang, Marcus E. Kleber, Xiuqing Guo, Henry J. Lin, Francesca Pavani, Tessel E. Galesloot, Raymond Noordam, Yuri Milaneschi, Katharina E. Schraut, Marcel den Hoed, Frauke Degenhardt, Stella Trompet, Marten E. van den Berg, Giorgio Pistis, Yih-Chung Tham, Stefan Weiss, Xueling S. Sim, Hengtong L. Li, Peter J. van der Most, Ilja M. Nolte, Leo-Pekka Lyytikäinen, M. Abdullah Said, Daniel R. Witte, Carlos Iribarren, Lenore Launer, Susan M. Ring, Paul S. de Vries, Peter Sever, Allan Linneberg, Erwin P. Bottinger, Sandosh Padmanabhan, Bruce M. Psaty, Nona Sotoodehnia, Ivana Kolcic, The DCCT/EDIC Research Group, David O. Arnar, Daniel F. Gudbjartsson, Hilma Holm, Beverley Balkau, Claudia T. Silva, Christopher H. Newton-Cheh, Kjell Nikus, Perttu Salo, Karen L. Mohlke, Patricia A. Peyser, Heribert Schunkert, Mattias Lorentzon, Jari Lahti, Dabeeru C. Rao, Marilyn C. Cornelis, Jessica D. Faul, Jennifer A. Smith, Katarzyna Stolarz-Skrzypek, Stefania Bandinelli, Maria Pina Concas, Gianfranco Sinagra, Thomas Meitinger, Melanie Waldenberger, Moritz F. Sinner, Konstantin Strauch, Graciela E. Delgado, Kent D. Taylor, Jie Yao, Luisa Foco, Olle Melander, Jacqueline de Graaf, Renée de Mutsert, Eco J. C. de Geus, Åsa Johansson, Peter K. Joshi, Lars Lind, Andre Franke, Peter W. Macfarlane, Kirill V. Tarasov, Nicholas Tan, Stephan B. Felix, E-Shyong Tai, Debra Q. Quek, Harold Snieder, Johan Ormel, Martin Ingelsson, Cecilia Lindgren, Andrew P. Morris, Olli T. Raitakari, Torben Hansen, Themistocles Assimes, Vilmundur Gudnason, Nicholas J. Timpson, Alanna C. Morrison, Patricia B. Munroe, David P. Strachan, Niels Grarup, Ruth J. F. Loos, Susan R. Heckbert, Peter Vollenweider, Caroline Hayward, Kari Stefansson, Philippe Froguel, Leif Groop, Nicholas J. Wareham, Cornelia M. van Duijn, Mary F. Feitosa, Christopher J. O’Donnell, Mika Kähönen, Markus Perola, Michael Boehnke, Sharon L. R. Kardia, Jeanette Erdmann, Colin N. A. Palmer, Claes Ohlsson, David J. Porteous, Johan G. Eriksson, Claude Bouchard, Susanne Moebus, Peter Kraft, David R. Weir, Daniele Cusi, Luigi Ferrucci, Sheila Ulivi, Giorgia Girotto, Adolfo Correa, Stefan Kääb, Annette Peters, John C. Chambers, Jaspal S. Kooner, Winfried März, Jerome I. Rotter, Andrew A. Hicks, J. Gustav Smith, Lambertus A. L. M. Kiemeney, Dennis O. Mook-Kanamori, Brenda W. J. H. Penninx, Ulf Gyllensten, James F. Wilson, Stephen Burgess, Johan Sundström, Wolfgang Lieb, J. Wouter Jukema, Mark Eijgelsheim, Edward L. M. Lakatta, Ching-Yu Cheng, Marcus Dörr, Tien-Yin Wong, Charumathi Sabanayagam, Albertine J. Oldehinkel, Harriette Riese, Terho Lehtimäki, Niek Verweij, and Pim van der Harst
Subjects: Science
Abstract: Abstract Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.
Published: 2023
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3. Lifestyle and clinical risk factors in relation with the prevalence of diabetes in the Indonesian urban and rural populations: The 2018 Indonesian Basic Health Survey

Author: Farid Kurniawan, Fathimah S. Sigit, Stella Trompet, Em Yunir, Tri Juli E. Tarigan, Dante S. Harbuwono, Pradana Soewondo, Dicky L. Tahapary, and Renée de Mutsert
Subjects: Urban/rural, Urbanization, Indonesia, Diabetes, Lifestyle factors, Clinical factors, Medicine
Abstract: Aims: To investigate the differences between Indonesian urban and rural populations in the association of lifestyle and clinical factors with diabetes prevalence. Methods: Using database of the 2018 Indonesian Basic Health Survey, which was conducted in April-May 2018, non-pregnant respondents aged ≥15 years old with available blood glucose data (n urban = 17,129, n rural = 16,585) were included in this study. The diagnosis of diabetes was based on the combination of known diabetes, i.e., a previous history of diabetes or use of anti-diabetes medication, and unknown diabetes based on blood glucose criteria. We performed logistic regression analyses separately for the urban and rural populations to examine the association of lifestyle and clinical factors with prevalent diabetes. Results: Indonesian urban population was less physically active, had a lower proportion of adequate fruit and vegetable intake, and had higher individuals with obesity than rural population. Although there were no differences in the total prevalence of diabetes between the two populations (10.9 % vs. 11.0 %, for urban and rural, respectively), the prevalence of known diabetes was twice higher in urban than in rural population (3.8 % vs. 1.9 %). Physical activity was associated with lower risk of diabetes, especially in the urban population [prevalence OR (95 %CI): 0.91 (0.85; 0.98) for urban and 0.94 (0.89; 1.00) for rural). Obesity, hypertension, and dyslipidemia were risk factors for prevalent diabetes in both populations. Conclusions: Indonesian rural population showed relatively better lifestyle and clinical profiles compared to their urban counterparts. However, no differences were observed between the two populations in the relation between risk factors and diabetes. Special attention needs to be addressed to the high prevalence of undiagnosed and untreated diabetes in Indonesia.
Published: 2024
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4. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci

Author: Lisa de las Fuentes, Karen L. Schwander, Michael R. Brown, Amy R. Bentley, Thomas W. Winkler, Yun Ju Sung, Patricia B. Munroe, Clint L. Miller, Hugo Aschard, Stella Aslibekyan, Traci M. Bartz, Lawrence F. Bielak, Jin Fang Chai, Ching-Yu Cheng, Rajkumar Dorajoo, Mary F. Feitosa, Xiuqing Guo, Fernando P. Hartwig, Andrea Horimoto, Ivana Kolčić, Elise Lim, Yongmei Liu, Alisa K. Manning, Jonathan Marten, Solomon K. Musani, Raymond Noordam, Sandosh Padmanabhan, Tuomo Rankinen, Melissa A. Richard, Paul M. Ridker, Albert V. Smith, Dina Vojinovic, Alan B. Zonderman, Maris Alver, Mathilde Boissel, Kaare Christensen, Barry I. Freedman, Chuan Gao, Franco Giulianini, Sarah E. Harris, Meian He, Fang-Chi Hsu, Brigitte Kühnel, Federica Laguzzi, Xiaoyin Li, Leo-Pekka Lyytikäinen, Ilja M. Nolte, Alaitz Poveda, Rainer Rauramaa, Muhammad Riaz, Antonietta Robino, Tamar Sofer, Fumihiko Takeuchi, Bamidele O. Tayo, Peter J. van der Most, Niek Verweij, Erin B. Ware, Stefan Weiss, Wanqing Wen, Lisa R. Yanek, Yiqiang Zhan, Najaf Amin, Dan E. Arking, Christie Ballantyne, Eric Boerwinkle, Jennifer A. Brody, Ulrich Broeckel, Archie Campbell, Mickaël Canouil, Xiaoran Chai, Yii-Der Ida Chen, Xu Chen, Kumaraswamy Naidu Chitrala, Maria Pina Concas, Ulf de Faire, Renée de Mutsert, H. Janaka de Silva, Paul S. de Vries, Ahn Do, Jessica D. Faul, Virginia Fisher, James S. Floyd, Terrence Forrester, Yechiel Friedlander, Giorgia Girotto, C. Charles Gu, Göran Hallmans, Sami Heikkinen, Chew-Kiat Heng, Georg Homuth, Steven Hunt, M. Arfan Ikram, David R. Jacobs, Maryam Kavousi, Chiea Chuen Khor, Tuomas O. Kilpeläinen, Woon-Puay Koh, Pirjo Komulainen, Carl D. Langefeld, Jingjing Liang, Kiang Liu, Jianjun Liu, Kurt Lohman, Reedik Mägi, Ani W. Manichaikul, Colin A. McKenzie, Thomas Meitinger, Yuri Milaneschi, Matthias Nauck, Christopher P. Nelson, Jeffrey R. O’Connell, Nicholette D. Palmer, Alexandre C. Pereira, Thomas Perls, Annette Peters, Ozren Polašek, Olli T. Raitakari, Kenneth Rice, Treva K. Rice, Stephen S. Rich, Charumathi Sabanayagam, Pamela J. Schreiner, Xiao-Ou Shu, Stephen Sidney, Mario Sims, Jennifer A. Smith, John M. Starr, Konstantin Strauch, E. Shyong Tai, Kent D. Taylor, Michael Y. Tsai, André G. Uitterlinden, Diana van Heemst, Melanie Waldenberger, Ya-Xing Wang, Wen-Bin Wei, Gregory Wilson, Deng Xuan, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, Diane M. Becker, Amélie Bonnefond, Donald W. Bowden, Richard S. Cooper, Ian J. Deary, Jasmin Divers, Tõnu Esko, Paul W. Franks, Philippe Froguel, Christian Gieger, Jost B. Jonas, Norihiro Kato, Timo A. Lakka, Karin Leander, Terho Lehtimäki, Patrik K. E. Magnusson, Kari E. North, Ioanna Ntalla, Brenda Penninx, Nilesh J. Samani, Harold Snieder, Beatrice Spedicati, Pim van der Harst, Henry Völzke, Lynne E. Wagenknecht, David R. Weir, Mary K. Wojczynski, Tangchun Wu, Wei Zheng, Xiaofeng Zhu, Claude Bouchard, Daniel I. Chasman, Michele K. Evans, Ervin R. Fox, Vilmundur Gudnason, Caroline Hayward, Bernardo L. Horta, Sharon L. R. Kardia, Jose Eduardo Krieger, Dennis O. Mook-Kanamori, Patricia A. Peyser, Michael M. Province, Bruce M. Psaty, Igor Rudan, Xueling Sim, Blair H. Smith, Rob M. van Dam, Cornelia M. van Duijn, Tien Yin Wong, Donna K. Arnett, Dabeeru C. Rao, James Gauderman, Ching-Ti Liu, Alanna C. Morrison, Jerome I. Rotter, and Myriam Fornage
Subjects: educational attainment, lipids, cholesterol, triglycerides, genome-wide association study, meta-analysis, Genetics, QH426-470
Abstract: Introduction: Educational attainment, widely used in epidemiologic studies as a surrogate for socioeconomic status, is a predictor of cardiovascular health outcomes.Methods: A two-stage genome-wide meta-analysis of low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and triglyceride (TG) levels was performed while accounting for gene-educational attainment interactions in up to 226,315 individuals from five population groups. We considered two educational attainment variables: “Some College” (yes/no, for any education beyond high school) and “Graduated College” (yes/no, for completing a 4-year college degree). Genome-wide significant (p < 5 × 10−8) and suggestive (p < 1 × 10−6) variants were identified in Stage 1 (in up to 108,784 individuals) through genome-wide analysis, and those variants were followed up in Stage 2 studies (in up to 117,531 individuals).Results: In combined analysis of Stages 1 and 2, we identified 18 novel lipid loci (nine for LDL, seven for HDL, and two for TG) by two degree-of-freedom (2 DF) joint tests of main and interaction effects. Four loci showed significant interaction with educational attainment. Two loci were significant only in cross-population analyses. Several loci include genes with known or suggested roles in adipose (FOXP1, MBOAT4, SKP2, STIM1, STX4), brain (BRI3, FILIP1, FOXP1, LINC00290, LMTK2, MBOAT4, MYO6, SENP6, SRGAP3, STIM1, TMEM167A, TMEM30A), and liver (BRI3, FOXP1) biology, highlighting the potential importance of brain-adipose-liver communication in the regulation of lipid metabolism. An investigation of the potential druggability of genes in identified loci resulted in five gene targets shown to interact with drugs approved by the Food and Drug Administration, including genes with roles in adipose and brain tissue.Discussion: Genome-wide interaction analysis of educational attainment identified novel lipid loci not previously detected by analyses limited to main genetic effects.
Published: 2023
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5. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization [version 1; peer review: 2 approved]

Author: Natasha H. J. Ng, Sara M. Willems, Jian'an Luan, Rebecca S. Fine, Juan Fernandez, Jennifer Wessel, Eleanor Wheeler, Gaelle Marenne, Hidetoshi Kitajima, Hanieh Yaghootkar, Xueling Sim, Ian J. Deary, Sai Chen, Shuai Wang, Yii-Der Ida Chen, Caroline Hayward, Yuning Chen, Jennifer L. Asimit, Claudia Langenberg, Tibor V. Varga, Archie Campbell, Rona J. Strawbridge, Shuang Feng, Tarunveer S. Ahluwalia, Erica L. Kleinbrink, Emil V. Appel, Ping An, Lawrence F. Bielak, Dan E. Arking, Jennifer A. Brody, Nathan A. Bihlmeyer, David Porteous, Ayse Demirkan, Audrey Y. Chu, Franco Giulianini, James S. Floyd, Stefan Gustafsson, Xiuqing Guo, Johanna Jakobsdottir, Anne U. Jackson, Stavroula Kanoni, Richard A. Jensen, Igor Rudan, Man Li, Sirkka Keinanen-Kiukaanniemi, Alisa K. Manning, Yingchang Lu, Karina Meidtner, Jonathan Marten, Giorgio Pistis, Taulant Muka, Kenneth M. Rice, Bram Prins, Albert Vernon Smith, Serena Sanna, Lorraine Southam, Jennifer A. Smith, Vinicius Tragante, Heather M. Stringham, Helen R. Warren, Sander W. van der Laan, Andrianos M. Yiorkas, Jie Yao, Wei Zhao, Weihua Zhang, Heather M. Highland, Mariaelisa Graff, Eirini Marouli, Anne E. Justice, Wesam A. Alhejily, Saima Afaq, Folkert W. Asselbergs, Najaf Amin, Michiel L. Bots, Lori L. Bonnycastle, Ji Chen, Ivan Brandslund, Abbas Dehghan, John Danesh, Tapani Ebeling, Jessica D. Faul, Aliki-Eleni Farmaki, Steve Franks, Paul W. Franks, Anette P. Gjesing, Andreas Fritsche, Göran Hallmans, Mark O. Goodarzi, Karl-Heinz Herzig, Tamara B. Harris, Min A Jhun, Marie-France Hivert, Marit E. Jørgensen, Torben Jørgensen, Eero Kajantie, Pekka Jousilahti, Sharon L.R. Kardia, Maria Karaleftheri, Heikki A. Koistinen, Leena Kinnunen, Peter Kovacs, Pirjo Komulainen, Markku Laakso, Johanna Kuusisto, Aaron Leong, Lenore J. Launer, Jocelyn E. Manning Fox, Jaana Lindström, Nisa M. Maruthur, Satu Männistö, Antonella Mulas, Leena Moilanen, Matthew Neville, Mike A. Nalls, Alison Pattie, James S. Pankow, Hannu Puolijoki, Eva R.B. Petersen, Paul Redmond, Asif Rasheed, Michael Roden, Frida Renström, Juha Saltevo, Danish Saleheen, Sylvain Sebert, Kai Savonen, Alena Stančáková, Kerrin S. Small, Konstantin Strauch, Jakob Stokholm, Betina H. Thuesen, Juha Auvinen, E-Shyong Tai, Emmanouil Tsafantakis, Anke Tönjes, Jaakko Tuomilehto, Tiinamaija Tuomi, Marja Vääräsmäki, Matti Uusitupa, Magdalena Zoledziewska, Ilonca Vaartjes, Beverley Balkau, Goncalo Abecasis, Alexandra I. Blakemore, Hans Bisgaard, Heiner Boeing, Ruth J.F. Loos, Matthias Blüher, Klaus Bønnelykke, Eric Boerwinkle, Mark J. Caulfield, Erwin P. Bottinger, Daniel I. Chasman, John C. Chambers, Francis S. Collins, Ching-Yu Cheng, Francesco Cucca, Josef Coresh, George Dedoussis, Gert J. de Borst, Hester M. den Ruijter, Panos Deloukas, Ele Ferrannini, Michele K. Evans, Harald Grallert, Oscar H. Franco, Arfan Ikram, Joel N. Hirschhorn, Fredrik Karpe, Erik Ingelsson, Wieland Kiess, Carolina Medina-Gomez, Kay-Tee Kaw, Antje Körner, Jaspal S. Kooner, Cecilia M. Lindgren, Timo Lakka, Ching-Ti Liu, Leonard Lipovich, Patrick E. MacDonald, Jun Liu, Andrew D. Morris, Karen L. Mohlke, Alison Murray, Patricia B. Munroe, Gerard Pasterkamp, Colin N. A . Palmer, Patricia A. Peyser, Oluf Pedersen, Paul M. Ridker, Rainer Rauramaa, Patrik Rorsman, Olov Rolandsson, Veikko Salomaa, Frits R. Rosendaal, Robert Sladek, Matthias B. Schulze, Michael Stumvoll, Timothy D. Spector, Mark Walker, Cornelia M. van Duijn, David R. Weir, Nick J. Wareham, Tien Yin Wong, James G. Wilson, Alan B. Zonderman, Eleftheria Zeggini, Andrew P. Morris, Jerome I. Rotter, Jose C. Florez, Michael Boehnke, James B. Meigs, Mark I. McCarthy, Robert A. Scott, Anubha Mahajan, Inês Barroso, Anna L. Gloyn, Michael A. Province, Niels Grarup, Ruifang Li-Gao, Jette Bork-Jensen, Yongmei Liu, Allan Linneberg, Leslie A. Lange, Sandosh Padmanabhan, Gail Davies, Lars Lind, Bruce M. Psaty, Tea Skaaby, Torben Hansen, Ozren Polasek, John M. Starr, Dennis O. Mook-Kanamori, Vilmundur Gudnason, Kent D. Taylor, Marjo-Riitta Järvelin, Renée de Mutsert, Paul Elliott, Josée Dupuis, Blair H. Smith, and Andrew T. Hattersley
Subjects: exome chip, glycaemic traits, genetic discovery, effector genes, summary statistics resources, eng, Medicine, Science
Abstract: Background Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways. Methods To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses. Results Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology. Conclusions Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries.
Published: 2023
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6. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author: Thomas W. Winkler, Humaira Rasheed, Alexander Teumer, Mathias Gorski, Bryce X. Rowan, Kira J. Stanzick, Laurent F. Thomas, Adrienne Tin, Anselm Hoppmann, Audrey Y. Chu, Bamidele Tayo, Chris H. L. Thio, Daniele Cusi, Jin-Fang Chai, Karsten B. Sieber, Katrin Horn, Man Li, Markus Scholz, Massimiliano Cocca, Matthias Wuttke, Peter J. van der Most, Qiong Yang, Sahar Ghasemi, Teresa Nutile, Yong Li, Giulia Pontali, Felix Günther, Abbas Dehghan, Adolfo Correa, Afshin Parsa, Agnese Feresin, Aiko P. J. de Vries, Alan B. Zonderman, Albert V. Smith, Albertine J. Oldehinkel, Alessandro De Grandi, Alexander R. Rosenkranz, Andre Franke, Andrej Teren, Andres Metspalu, Andrew A. Hicks, Andrew P. Morris, Anke Tönjes, Anna Morgan, Anna I. Podgornaia, Annette Peters, Antje Körner, Anubha Mahajan, Archie Campbell, Barry I. Freedman, Beatrice Spedicati, Belen Ponte, Ben Schöttker, Ben Brumpton, Bernhard Banas, Bernhard K. Krämer, Bettina Jung, Bjørn Olav Åsvold, Blair H. Smith, Boting Ning, Brenda W. J. H. Penninx, Brett R. Vanderwerff, Bruce M. Psaty, Candace M. Kammerer, Carl D. Langefeld, Caroline Hayward, Cassandra N. Spracklen, Cassianne Robinson-Cohen, Catharina A. Hartman, Cecilia M. Lindgren, Chaolong Wang, Charumathi Sabanayagam, Chew-Kiat Heng, Chiara Lanzani, Chiea-Chuen Khor, Ching-Yu Cheng, Christian Fuchsberger, Christian Gieger, Christian M. Shaffer, Christina-Alexandra Schulz, Cristen J. Willer, Daniel I. Chasman, Daniel F. Gudbjartsson, Daniela Ruggiero, Daniela Toniolo, Darina Czamara, David J. Porteous, Dawn M. Waterworth, Deborah Mascalzoni, Dennis O. Mook-Kanamori, Dermot F. Reilly, E. Warwick Daw, Edith Hofer, Eric Boerwinkle, Erika Salvi, Erwin P. Bottinger, E-Shyong Tai, Eulalia Catamo, Federica Rizzi, Feng Guo, Fernando Rivadeneira, Franco Guilianini, Gardar Sveinbjornsson, Georg Ehret, Gerard Waeber, Ginevra Biino, Giorgia Girotto, Giorgio Pistis, Girish N. Nadkarni, Graciela E. Delgado, Grant W. Montgomery, Harold Snieder, Harry Campbell, Harvey D. White, He Gao, Heather M. Stringham, Helena Schmidt, Hengtong Li, Hermann Brenner, Hilma Holm, Holgen Kirsten, Holly Kramer, Igor Rudan, Ilja M. Nolte, Ioanna Tzoulaki, Isleifur Olafsson, Jade Martins, James P. Cook, James F. Wilson, Jan Halbritter, Janine F. Felix, Jasmin Divers, Jaspal S. Kooner, Jeannette Jen-Mai Lee, Jeffrey O’Connell, Jerome I. Rotter, Jianjun Liu, Jie Xu, Joachim Thiery, Johan Ärnlöv, Johanna Kuusisto, Johanna Jakobsdottir, Johanne Tremblay, John C. Chambers, John B. Whitfield, John M. Gaziano, Jonathan Marten, Josef Coresh, Jost B. Jonas, Josyf C. Mychaleckyj, Kaare Christensen, Kai-Uwe Eckardt, Karen L. Mohlke, Karlhans Endlich, Katalin Dittrich, Kathleen A. Ryan, Kenneth M. Rice, Kent D. Taylor, Kevin Ho, Kjell Nikus, Koichi Matsuda, Konstantin Strauch, Kozeta Miliku, Kristian Hveem, Lars Lind, Lars Wallentin, Laura M. Yerges-Armstrong, Laura M. Raffield, Lawrence S. Phillips, Lenore J. Launer, Leo-Pekka Lyytikäinen, Leslie A. Lange, Lorena Citterio, Lucija Klaric, M. Arfan Ikram, Marcus Ising, Marcus E. Kleber, Margherita Francescatto, Maria Pina Concas, Marina Ciullo, Mario Piratsu, Marju Orho-Melander, Markku Laakso, Markus Loeffler, Markus Perola, Martin H. de Borst, Martin Gögele, Martina La Bianca, Mary Ann Lukas, Mary F. Feitosa, Mary L. Biggs, Mary K. Wojczynski, Maryam Kavousi, Masahiro Kanai, Masato Akiyama, Masayuki Yasuda, Matthias Nauck, Melanie Waldenberger, Miao-Li Chee, Miao-Ling Chee, Michael Boehnke, Michael H. Preuss, Michael Stumvoll, Michael A. Province, Michele K. Evans, Michelle L. O’Donoghue, Michiaki Kubo, Mika Kähönen, Mika Kastarinen, Mike A. Nalls, Mikko Kuokkanen, Mohsen Ghanbari, Murielle Bochud, Navya Shilpa Josyula, Nicholas G. Martin, Nicholas Y. Q. Tan, Nicholette D. Palmer, Nicola Pirastu, Nicole Schupf, Niek Verweij, Nina Hutri-Kähönen, Nina Mononen, Nisha Bansal, Olivier Devuyst, Olle Melander, Olli T. Raitakari, Ozren Polasek, Paolo Manunta, Paolo Gasparini, Pashupati P. Mishra, Patrick Sulem, Patrik K. E. Magnusson, Paul Elliott, Paul M. Ridker, Pavel Hamet, Per O. Svensson, Peter K. Joshi, Peter Kovacs, Peter P. Pramstaller, Peter Rossing, Peter Vollenweider, Pim van der Harst, Rajkumar Dorajoo, Ralene Z. H. Sim, Ralph Burkhardt, Ran Tao, Raymond Noordam, Reedik Mägi, Reinhold Schmidt, Renée de Mutsert, Rico Rueedi, Rob M. van Dam, Robert J. Carroll, Ron T. Gansevoort, Ruth J. F. Loos, Sala Cinzia Felicita, Sanaz Sedaghat, Sandosh Padmanabhan, Sandra Freitag-Wolf, Sarah A. Pendergrass, Sarah E. Graham, Scott D. Gordon, Shih-Jen Hwang, Shona M. Kerr, Simona Vaccargiu, Snehal B. Patil, Stein Hallan, Stephan J. L. Bakker, Su-Chi Lim, Susanne Lucae, Suzanne Vogelezang, Sven Bergmann, Tanguy Corre, Tarunveer S. Ahluwalia, Terho Lehtimäki, Thibaud S. Boutin, Thomas Meitinger, Tien-Yin Wong, Tobias Bergler, Ton J. Rabelink, Tõnu Esko, Toomas Haller, Unnur Thorsteinsdottir, Uwe Völker, Valencia Hui Xian Foo, Veikko Salomaa, Veronique Vitart, Vilmantas Giedraitis, Vilmundur Gudnason, Vincent W. V. Jaddoe, Wei Huang, Weihua Zhang, Wen Bin Wei, Wieland Kiess, Winfried März, Wolfgang Koenig, Wolfgang Lieb, Xin Gao, Xueling Sim, Ya Xing Wang, Yechiel Friedlander, Yih-Chung Tham, Yoichiro Kamatani, Yukinori Okada, Yuri Milaneschi, Zhi Yu, Lifelines cohort study, DiscovEHR/MyCode study, VA Million Veteran Program, Klaus J. Stark, Kari Stefansson, Carsten A. Böger, Adriana M. Hung, Florian Kronenberg, Anna Köttgen, Cristian Pattaro, and Iris M. Heid
Subjects: Biology (General), QH301-705.5
Abstract: A large-scale GWAS provides insight on diabetes-dependent genetic effects on the glomerular filtration rate, a common metric to monitor kidney health in disease.
Published: 2022
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7. Agreement between nicotine metabolites in blood and self-reported smoking status: The Netherlands Epidemiology of Obesity study

Author: Sofia Folpmers, Dennis O Mook-Kanamori, Renée de Mutsert, Frits R. Rosendaal, Ko Willems van Dijk, Diana van Heemst, Raymond Noordam, and Saskia le Cessie
Subjects: Smoking, Agreement, Nicotine metabolites, Self reported smoking status, Psychology, BF1-990, Social pathology. Social and public welfare. Criminology, HV1-9960
Abstract: Introduction: Self-report and nicotine detection are methods to measure smoking exposure and can both lead to misclassification. It is important to highlight discrepancies between these two methods in the context of epidemiological research. Objective: The aim of this cross-sectional study is to assess the agreements between self-reported smoking status and nicotine metabolite detection. Methods: Data of 599 participants from the Netherlands Epidemiology of Obesity study were used to compare serum metabolite levels of five nicotine metabolites (cotinine, hydroxy-cotinine, cotinine N-Oxide, norcotinine, 3-hydroxy-cotinine-glucuronide) between self-reported never smokers (n = 245), former smokers (n = 283) and current smokers (n = 71). We assessed whether metabolites were absent or present and used logistic regression to discriminate between current and never smokers based on nicotine metabolite information. A classification tree was derived to classify individuals into current smokers and non/former smokers based on metabolite information. Results: In 94% of the self-reported current smokers, at least one metabolite was present, versus in 19% of the former smokers and in 10% of the never smokers. In none of the never smokers, cotinine-n-oxide, 3-hydroxy-cotinine-n-glucorinide or norcotinine was present, while at least one of these metabolites was detected in 68% of the self-reported current smokers. The classification tree classified 95% of the participants in accordance to their self-reported smoking status. All self-reported smokers who were classified as non-smokers according to the metabolite profile, had reported to be occasional smokers. Conclusion: The agreement between self-reported smoking status and metabolite information was high. This indicates that self-reported smoking status is generally reliable.
Published: 2022
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8. Differential effect of statin use on coagulation markers: an active comparative analysis in the NEO study

Author: Mohammadreza Bordbar, Renée de Mutsert, Melike Cevval, Frits R. Rosendaal, J. Wouter Jukema, and Willem M. Lijfering
Subjects: Statins, Venous thromboembolism, Coagulation factors, Niacin, Fibrates, Diseases of the blood and blood-forming organs, RC633-647.5
Abstract: Abstract Background Statins are a potential treatment for venous thromboembolism (VTE) prophylaxis complementary to conventional anticoagulants without associated bleeding complications. This study aimed to compare pro-thrombotic activities of different classes of lipid-lowering drugs in an active comparator design and determine whether there is a relation between statin versus fibrate/niacin use and pro-coagulant factor outcomes. Methods This is a cross-sectional analysis of participants from the Netherlands Epidemiology of Obesity study using any class of lipid-lowering drugs, including any types of statins, niacin, and fibrates. We performed linear regression analyses to determine fibrinogen, factor (F) VIII, FIX, and FXI activity in statins versus fibrate/niacin users and adjusted for age, sex, tobacco smoking, body mass index (BMI), hypertension, diabetes, and prevalent cardiovascular disease. Results Among 1043 participants, the mean age was 58.4 ± 5.2 years, 61% were men, and the mean BMI was 31.3 ± 4.5 kg/m2. Clinical characteristics were balanced between statin and fibrate/niacin users. Statin users had lower mean FXI (18.3 IU/dL, 95% confidence interval (CI) 9.4 to 27.3) levels compared to fibrate/niacin users. The level of FVIII (15.8 IU/dL, 95% CI − 0.003 to 31.6), and FIX (11.3 IU/dL, 95% CI − 0.4 to 23.2) were lower in statin users than fibrate/niacin users with marginal statistical significance. Conclusion Current statin use was associated with lower plasma levels of FXI than fibrate/niacin use. The effects on coagulation factors may, in part, explain the benefit of statin therapy rendered in primary and secondary prevention of VTE.
Published: 2021
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9. Adherence to the healthy lifestyle guideline in relation to the metabolic syndrome: Analyses from the 2013 and 2018 Indonesian national health surveys

Author: Fathimah S. Sigit, Stella Trompet, Dicky L. Tahapary, Dante S. Harbuwono, Saskia le Cessie, Frits R. Rosendaal, and Renée de Mutsert
Subjects: Metabolic syndrome (MetS), Healthy lifestyle, Adherence, ‘GERMAS’ guideline, Indonesia, Medicine
Abstract: In this study, we aimed to investigate differences in lifestyle factors and prevalence of metabolic syndrome (MetS) in the Indonesian population between 2013 and 2018. In addition, we investigated whether adherence to the 2015-released national healthy lifestyle guideline (‘GERMAS’) is associated with MetS in different sex, age, urban/rural, and BMI categories. We performed cross-sectional analyses in individuals aged >15 of the 2013 (n = 34,274) and 2018 (n = 33,786) Indonesian National Health Surveys. A stratified, multi-stage, systematic random sampling design and the probability proportional to size method were used to select households in the 34 provinces across the country. MetS was defined according to the Joint Interim Statement Criteria, and adherence to ‘GERMAS’ guideline was defined as fulfilling the national healthy lifestyle recommendations of ≥150 min/week physical activity (PA), ≥5 portions/day fruit and vegetable (FV), no smoking (NS), and no alcohol consumption (NA). We examined the associations of each lifestyle factor with MetS using logistic regression categorised by sex, age groups, urban/rural, and BMI, and adjusted for sociodemographic factors. We observed that men who adhered to the guideline had lower odds ratio of MetS [OR(95%CI) associated with PA: 0.85(0.75–0.97); NA: 0.75(0.56–1.00)] than non-adherent men. Middle-aged adults who adhered to the guideline had lower OR of MetS [PA: 0.85(0.72–1.01); FV: 0.78(0.62–0.99); NA: 0.66(0.46–0.93)] than non-adherent adults
Published: 2022
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10. Normal and reference values for cardiovascular magnetic resonance-based pulse wave velocity in the middle-aged general population

Author: Max J. van Hout, Ilona A. Dekkers, Jos J. Westenberg, Martin J. Schalij, Ralph L. Widya, Renée de Mutsert, Frits R. Rosendaal, Albert de Roos, J. Wouter Jukema, Arthur J. Scholte, and Hildo J. Lamb
Subjects: Pulse Wave Velocity, Magnetic Resonance Imaging, Arterial stiffness, Cardiovascular disease, Epidemiology, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Abstract Background Aortic stiffness, assessed through pulse wave velocity (PWV), is an independent predictor for cardiovascular disease risk. However, the scarce availability of normal and reference values for cardiovascular magnetic resonance imaging (CMR) based PWV is limiting clinical implementation. The aim of this study was to determine normal and reference values for CMR assessed PWV in the general population. Methods From the 2,484 participants of the Netherlands Epidemiology of Obesity (NEO) study that have available CMR-PWV data, 1,394 participants free from cardiovasculard disease, smokers or treatment for diabetes, hypertension or dyslipidaemia were selected (45–65 years, 51% female). Participants were divided into sex, age and blood pressure (BP) subgroups. Normal values were specified for participants with a BP 140/90 mmHg women had a higher PWV (p = 0.005). The interpercentile ranges were smaller for participants
Published: 2021
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11. Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses

Author: Maxime M. Bos, Neil J. Goulding, Matthew A. Lee, Amy Hofman, Mariska Bot, René Pool, Lisanne S. Vijfhuizen, Xiang Zhang, Chihua Li, Rima Mustafa, Matt J. Neville, Ruifang Li-Gao, Stella Trompet, Marian Beekman, Nienke R. Biermasz, Dorret I. Boomsma, Irene de Boer, Constantinos Christodoulides, Abbas Dehghan, Ko Willems van Dijk, Ian Ford, Mohsen Ghanbari, Bastiaan T. Heijmans, M. Arfan Ikram, J. Wouter Jukema, Dennis O. Mook-Kanamori, Fredrik Karpe, Annemarie I. Luik, L. H. Lumey, Arn M. J. M. van den Maagdenberg, Simon P. Mooijaart, Renée de Mutsert, Brenda W. J. H. Penninx, Patrick C. N. Rensen, Rebecca C. Richmond, Frits R. Rosendaal, Naveed Sattar, Robert A. Schoevers, P. Eline Slagboom, Gisela M. Terwindt, Carisha S. Thesing, Kaitlin H. Wade, Carolien A. Wijsman, Gonneke Willemsen, Aeilko H. Zwinderman, Diana van Heemst, Raymond Noordam, and Deborah A. Lawlor
Subjects: Mendelian randomization, Metabolomics, Sleep, Epidemiology, Medicine
Abstract: Abstract Background Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease. Methods We used AMV (N = 17,368) combined with two-sample MR (N = 38,618) to examine effects of self-reported insomnia symptoms, total habitual sleep duration, and chronotype on 113 metabolomic traits. The AMV analyses were conducted on data from 10 cohorts of mostly Europeans, adjusted for age, sex, and body mass index. For the MR analyses, we used summary results from published European-ancestry genome-wide association studies of self-reported sleep traits and of nuclear magnetic resonance (NMR) serum metabolites. We used the inverse-variance weighted (IVW) method and complemented this with sensitivity analyses to assess MR assumptions. Results We found consistent evidence from AMV and MR analyses for associations of usual vs. sometimes/rare/never insomnia symptoms with lower citrate (− 0.08 standard deviation (SD)[95% confidence interval (CI) − 0.12, − 0.03] in AMV and − 0.03SD [− 0.07, − 0.003] in MR), higher glycoprotein acetyls (0.08SD [95% CI 0.03, 0.12] in AMV and 0.06SD [0.03, 0.10) in MR]), lower total very large HDL particles (− 0.04SD [− 0.08, 0.00] in AMV and − 0.05SD [− 0.09, − 0.02] in MR), and lower phospholipids in very large HDL particles (− 0.04SD [− 0.08, 0.002] in AMV and − 0.05SD [− 0.08, − 0.02] in MR). Longer total sleep duration associated with higher creatinine concentrations using both methods (0.02SD per 1 h [0.01, 0.03] in AMV and 0.15SD [0.02, 0.29] in MR) and with isoleucine in MR analyses (0.22SD [0.08, 0.35]). No consistent evidence was observed for effects of chronotype on metabolomic measures. Conclusions Whilst our results suggested that unfavourable sleep traits may not cause widespread metabolic disruption, some notable effects were observed. The evidence for possible effects of insomnia symptoms on glycoprotein acetyls and citrate and longer total sleep duration on creatinine and isoleucine might explain some of the effects, found in MR analyses of these sleep traits on coronary heart disease, which warrant further investigation.
Published: 2021
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12. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Author: Ioanna Ntalla, Lu-Chen Weng, James H. Cartwright, Amelia Weber Hall, Gardar Sveinbjornsson, Nathan R. Tucker, Seung Hoan Choi, Mark D. Chaffin, Carolina Roselli, Michael R. Barnes, Borbala Mifsud, Helen R. Warren, Caroline Hayward, Jonathan Marten, James J. Cranley, Maria Pina Concas, Paolo Gasparini, Thibaud Boutin, Ivana Kolcic, Ozren Polasek, Igor Rudan, Nathalia M. Araujo, Maria Fernanda Lima-Costa, Antonio Luiz P. Ribeiro, Renan P. Souza, Eduardo Tarazona-Santos, Vilmantas Giedraitis, Erik Ingelsson, Anubha Mahajan, Andrew P. Morris, Fabiola Del Greco M, Luisa Foco, Martin Gögele, Andrew A. Hicks, James P. Cook, Lars Lind, Cecilia M. Lindgren, Johan Sundström, Christopher P. Nelson, Muhammad B. Riaz, Nilesh J. Samani, Gianfranco Sinagra, Sheila Ulivi, Mika Kähönen, Pashupati P. Mishra, Nina Mononen, Kjell Nikus, Mark J. Caulfield, Anna Dominiczak, Sandosh Padmanabhan, May E. Montasser, Jeff R. O’Connell, Kathleen Ryan, Alan R. Shuldiner, Stefanie Aeschbacher, David Conen, Lorenz Risch, Sébastien Thériault, Nina Hutri-Kähönen, Terho Lehtimäki, Leo-Pekka Lyytikäinen, Olli T. Raitakari, Catriona L. K. Barnes, Harry Campbell, Peter K. Joshi, James F. Wilson, Aaron Isaacs, Jan A. Kors, Cornelia M. van Duijn, Paul L. Huang, Vilmundur Gudnason, Tamara B. Harris, Lenore J. Launer, Albert V. Smith, Erwin P. Bottinger, Ruth J. F. Loos, Girish N. Nadkarni, Michael H. Preuss, Adolfo Correa, Hao Mei, James Wilson, Thomas Meitinger, Martina Müller-Nurasyid, Annette Peters, Melanie Waldenberger, Massimo Mangino, Timothy D. Spector, Michiel Rienstra, Yordi J. van de Vegte, Pim van der Harst, Niek Verweij, Stefan Kääb, Katharina Schramm, Moritz F. Sinner, Konstantin Strauch, Michael J. Cutler, Diane Fatkin, Barry London, Morten Olesen, Dan M. Roden, M. Benjamin Shoemaker, J. Gustav Smith, Mary L. Biggs, Joshua C. Bis, Jennifer A. Brody, Bruce M. Psaty, Kenneth Rice, Nona Sotoodehnia, Alessandro De Grandi, Christian Fuchsberger, Cristian Pattaro, Peter P. Pramstaller, Ian Ford, J. Wouter Jukema, Peter W. Macfarlane, Stella Trompet, Marcus Dörr, Stephan B. Felix, Uwe Völker, Stefan Weiss, Aki S. Havulinna, Antti Jula, Katri Sääksjärvi, Veikko Salomaa, Xiuqing Guo, Susan R. Heckbert, Henry J. Lin, Jerome I. Rotter, Kent D. Taylor, Jie Yao, Renée de Mutsert, Arie C. Maan, Dennis O. Mook-Kanamori, Raymond Noordam, Francesco Cucca, Jun Ding, Edward G. Lakatta, Yong Qian, Kirill V. Tarasov, Daniel Levy, Honghuang Lin, Christopher H. Newton-Cheh, Kathryn L. Lunetta, Alison D. Murray, David J. Porteous, Blair H. Smith, Bruno H. Stricker, André Uitterlinden, Marten E. van den Berg, Jeffrey Haessler, Rebecca D. Jackson, Charles Kooperberg, Ulrike Peters, Alexander P. Reiner, Eric A. Whitsel, Alvaro Alonso, Dan E. Arking, Eric Boerwinkle, Georg B. Ehret, Elsayed Z. Soliman, Christy L. Avery, Stephanie M. Gogarten, Kathleen F. Kerr, Cathy C. Laurie, Amanda A. Seyerle, Adrienne Stilp, Solmaz Assa, M. Abdullah Said, M. Yldau van der Ende, Pier D. Lambiase, Michele Orini, Julia Ramirez, Stefan Van Duijvenboden, David O. Arnar, Daniel F. Gudbjartsson, Hilma Holm, Patrick Sulem, Gudmar Thorleifsson, Rosa B. Thorolfsdottir, Unnur Thorsteinsdottir, Emelia J. Benjamin, Andrew Tinker, Kari Stefansson, Patrick T. Ellinor, Yalda Jamshidi, Steven A. Lubitz, and Patricia B. Munroe
Subjects: Science
Abstract: On the electrocardiogram, the PR interval reflects conduction from the atria to ventricles and also serves as risk indicator of cardiovascular morbidity and mortality. Here, the authors perform genome-wide meta-analyses for PR interval in multiple ancestries and identify 141 previously unreported genetic loci.
Published: 2020
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13. Hepatic saturated fatty acid fraction is associated with de novo lipogenesis and hepatic insulin resistance

Author: Kay H. M. Roumans, Lucas Lindeboom, Pandichelvam Veeraiah, Carlijn M. E. Remie, Esther Phielix, Bas Havekes, Yvonne M. H. Bruls, Martijn C. G. J. Brouwers, Marcus Ståhlman, Marjan Alssema, Harry P. F. Peters, Renée de Mutsert, Bart Staels, Marja-Riitta Taskinen, Jan Borén, Patrick Schrauwen, and Vera B. Schrauwen-Hinderling
Subjects: Science
Abstract: Hepatic steatosis is associated with poor cardiometabolic health, with de novo lipogenesis (DNL) contributing to hepatic steatosis and subsequent insulin resistance. Here, the authors use 1H-MRS methodology to show hepatic SFA fraction is a measure of DNL and specifically may hamper hepatic insulin sensitivity.
Published: 2020
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14. The prevalence of metabolic syndrome and its association with body fat distribution in middle-aged individuals from Indonesia and the Netherlands: a cross-sectional analysis of two population-based studies

Author: Fathimah S. Sigit, Dicky L. Tahapary, Stella Trompet, Erliyani Sartono, Ko Willems van Dijk, Frits R. Rosendaal, and Renée de Mutsert
Subjects: Metabolic syndrome, Abdominal obesity, BMI, Waist circumference, Nutritional diseases. Deficiency diseases, RC620-627
Abstract: Abstract Background The prevalence of metabolic syndrome varies among populations with different ethnicities. Asian populations develop metabolic complications at lower amounts of adiposity than western populations. The role of abdominal obesity in the metabolic differences between the two populations is poorly understood. Objectives Our objectives were to estimate the prevalence of metabolic syndrome and the relative contribution of its components in the Indonesian and the Dutch population, as well as to examine the associations of overall and abdominal obesity with metabolic syndrome. Methods In this cross-sectional study of middle-aged adults in the Netherlands Epidemiology of Obesity Study (n = 6602) and the Indonesian National Health Surveillance (n = 10,575), metabolic syndrome was defined by the unified IDF and AHA/NHLBI criteria. We performed logistic and linear regressions to examine associations of BMI and waist circumference with the metabolic syndrome, mutually adjusted for waist circumference and BMI. Results The prevalence of metabolic syndrome was 28% and 46% in Indonesian men and women, and 36% and 24% in Dutch men and women. The most prominent components were hypertension (61%) and hyperglycemia (51%) in the Indonesian, and hypertension (62%) and abdominal obesity (40%) in the Dutch population. Per SD in BMI and waist circumference, odds ratios (ORs, 95% CI) of metabolic syndrome were 1.5 (1.3–1.8) and 2.3 (1.9–2.7) in Indonesian men and 1.7 (1.2–2.5) and 2.9 (2.1–4.1) in Dutch men. The ORs of metabolic syndrome were 1.4 (1.2–1.6) and 2.3 (2.0–2.7) in Indonesian women and 1.0 (0.8–1.3) and 4.2 (3.2–5.4) in Dutch women. Conclusion More Indonesian women than men have metabolic syndrome, whereas the opposite is true for the Dutch population. In both the Indonesian and the Dutch populations, hypertension is the primary contributor to the prevalence of metabolic syndrome. In both populations, abdominal adiposity was more strongly associated with metabolic syndrome than overall adiposity.
Published: 2020
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15. Replacing Foods with a High-Glycemic Index and High in Saturated Fat by Alternatives with a Low Glycemic Index and Low Saturated Fat Reduces Hepatic Fat, Even in Isocaloric and Macronutrient Matched Conditions

Author: Jeremy Basset-Sagarminaga, Kay H. M. Roumans, Bas Havekes, Ronald P. Mensink, Harry P. F. Peters, Peter L. Zock, Renée de Mutsert, Jan Borén, Lucas Lindeboom, Patrick Schrauwen, and Vera B. Schrauwen-Hinderling
Subjects: adults with overweight and obesity, magnetic resonance spectroscopy, heavy water, de novo lipogenesis, dietary intervention, liver glycogen, Nutrition. Foods and food supply, TX341-641
Abstract: Background: Current guidelines aim to limit the dietary glycemic index (GI) and intake of saturated fatty acids (SFA). Several studies have shown favorable effects of low-GI or low-SFA diets on intrahepatic lipid content (IHL), but these studies were performed under overfeeding conditions or extreme differences in GI or SFA to maximize the contrast between diets. By combining changes in GI and SFA, we can mimic how people can improve their diet in a realistic setting. Objectives: We investigated the effect on liver fat content and substrate metabolism of both reducing GI and replacing SFA with polyunsaturated fat in practically realistic amounts under isocaloric conditions. Design and Methods: In a randomized crossover study, thirteen overweight participants consumed two diets, one high in GI and SFA (high GI/SFA) and one low in GI and SFA (low GI/SFA) with identical macronutrient composition, for two weeks each. Diets were equal in caloric content, consisted of habitual food items, and had a macronutrient composition that can be easily achieved in daily life. At the end of each intervention, IHL content/composition and liver glycogen were measured by magnetic resonance spectroscopy. Additionally, fasted and postprandial hepatic de novo lipogenesis and glycemic and metabolic responses were investigated. Results: IHL was significantly lower (−28%) after the two-week low-GI/SFA diet (2.4 ± 0.5% 95% CI [1.4, 3.4]) than after the two-week high-GI/SFA diet (3.3 ± 0.6% 95% CI [1.9, 4.7], p < 0.05). Although hepatic glycogen content, hepatic de novo lipogenesis, hepatic lipid composition, and substrate oxidation during the night were similar between the two diets, the glycemic response to the low-GI/SFA diet was reduced (p < 0.05). Conclusions: Changes in macronutrient quality can already have drastic effects on liver fat content and postprandial glycemia after two weeks and even when energy content and the percentage of total fat and carbohydrate remains unchanged.
Published: 2023
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16. Factors associated with physical activity among COPD patients with mild or moderate airflow obstruction

Author: Amanda R. van Buul, Marise J. Kasteleyn, Vitalii Poberezhets, Tobias N. Bonten, Renée de Mutsert, Pieter S. Hiemstra, Saskia le Cessie, Frits R. Rosendaal, Niels H. Chavannes, and Christian Taube
Subjects: physical activity, chronic obstructive pulmonary disease, pulmonology, general practice, Medicine
Abstract: Physical inactivity is already present among patients with chronic obstructive pulmonary disease (COPD) of mild or moderate airflow obstruction. Most previous studies that reported on determinants of physical activity in COPD included patients with severe COPD. Therefore, the aim of this study was to explore which patient characteristics were related with physical activity in COPD patients with mild or moderate airflow obstruction. Cross-sectional analyses were performed on patients selected from the population-based Netherlands Epidemiology of Obesity study. Patients were included if they had a physician-diagnosed COPD GOLD 0-2 or had newly diagnosed COPD GOLD 1-2. Physical activity was evaluated using the Short Questionnaire to Assess Health-Enhancing Physical Activity (SQUASH) questionnaire and reported in hours per week of metabolic equivalents (MET-h/week). Associations between sociodemographic, lifestyle, clinical and functional characteristics were examined using regression analysis. 323 patients were included in research (77 with physician-diagnosed and 246 with newly diagnosed COPD). We found that physical activity was positively associated with pulmonary function: FEV1 (regression coefficient 0.40 (95% CI 0.09,0.71)) and FVC (regression coefficient 0.34 (95% CI 0.06,0.61)). Physical activity was associated with anxiety (regression coefficient =0.9 (95% CI 0.3,1.6)) only for physician-diagnosed patients. Lung function and anxiety level determine level of physical activity among COPD patients with mild or moderate airflow obstruction. Thus, integrating it into the physical activity plans could help to increase physical activity level of the patients.
Published: 2021
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17. Association of mental health and negative life events with weight change in patients with overweight: A cohort study

Author: Willemijn J. van den Hout, Dennis O. Mook-Kanamori, Petra G. van Peet, Frederike L. Büchner, Bernet M. Elzinga, Frits R. Rosendaal, Renée de Mutsert, and Mattijs E. Numans
Subjects: Psychiatry and Mental health, Clinical Psychology
Published: 2023

18. Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity

Author: Mark K. Bakker, Jos P. Kanning, Gad Abraham, Amy E. Martinsen, Bendik S. Winsvold, John-Anker Zwart, Romain Bourcier, Tomonobu Sawada, Masaru Koido, Yoichiro Kamatani, Sandrine Morel, Philippe Amouyel, Stéphanie Debette, Philippe Bijlenga, Takiy Berrandou, Santhi K. Ganesh, Nabila Bouatia-Naji, Gregory Jones, Matthew Bown, Gabriel J.E. Rinkel, Jan H. Veldink, Ynte M. Ruigrok, Anne Hege Aamodt, Anne Heidi Skogholt, Ben M Brumpton, Cristen J Willer, Else C Sandset, Espen S Kristoffersen, Hanne Ellekjær, Ingrid Heuch, Jonas B Nielsen, Knut Hagen, Kristian Hveem, Lars G Fritsche, Laurent F Thomas, Linda M Pedersen, Maiken E Gabrielsen, Oddgeir L Holmen, Sigrid Børte, Wei Zhou, Shérine Abboud, Massimo Pandolfo, Vincent Thijs, Didier Leys, Marie Bodenant, Fabien Louillet, Emmanuel Touzé, Jean-Louis Mas, Yves Samson, Sara Leder, Anne Léger, Sandrine Deltour, Sophie Crozier, Isabelle Méresse, Sandrine Canaple, Olivier Godefroy, Maurice Giroud, Yannick Béjot, Pierre Decavel, Elizabeth Medeiros, Paola Montiel, Thierry Moulin, Fabrice Vuillier, Jean Dallongeville, Antti J Metso, Tiina Metso, Turgut Tatlisumak, Caspar Grond-Ginsbach, Christoph Lichy, Manja Kloss, Inge Werner, Marie-Luise Arnold, Michael Dos Santos, Armin Grau, Martin Dichgans, Constanze Thomas-Feles, Ralf Weber, Tobias Brandt, Alessandro Pezzini, Valeria De Giuli, Filomena Caria, Loris Poli, Alessandro Padovani, Anna Bersano, Silvia Lanfranconi, Simone Beretta, Carlo Ferrarese, Giacomo Giacolone, Stefano Paolucci, Philippe Lyrer, Stefan Engelter, Felix Fluri, Florian Hatz, Dominique Gisler, Leo Bonati, Henrik Gensicke, Margareth Amort, Hugh Markus, Jennifer Majersik, Bradford Worrall, Andrew Southerland, John Cole, Steven Kittner, Evangelos Evangelou, Helen R Warren, He Gao, Georgios Ntritsos, Niki Dimou, Tonu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Jun Ding, Franco Giulianini, Elizabeth G Holliday, Anne U Jackson, Ruifang Li-Gao, Wei-Yu Lin, Jian’an Luan, Massimo Mangino, Christopher Oldmeadow, Bram Peter Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M Willems, Jing-Hua Zhao, John Connell, Renée de Mutsert, Alex SF Doney, Martin Farrall, Cristina Menni, Andrew D Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E Arking, Kristin L Ayers, Caterina M Barbieri, Chiara Batini, Joshua C Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I Boomsma, Erwin P Bottinger, Peter S Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis Collins, Heather J Cordell, Gail Davies, Martin H de Borst, Eco J de Geus, Ian J Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg B Ehret, Roberto Elosua, Stefan Enroth, A Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H Franco, Ilaria Gandin, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Anuj Goel, Alan J Gow, Vilmundur Gudnason, Xiuqing Guo, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Sarah E Harris, Catharina A Hartman, Aki S Havulinna, Andrew A Hicks, Edith Hofer, Albert Hofman, Jouke-Jan Hottenga, Jennifer E Huffman, Shih-Jen Hwang, Erik Ingelsson, Alan James, Rick Jansen, Marjo-Riitta Jarvelin, Roby Joehanes, Åsa Johansson, Andrew D Johnson, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Antti Jula, Mika Kähönen, Sekar Kathiresan, Bernard D Keavney, Kay-Tee Khaw, Paul Knekt, Joanne Knight, Ivana Kolcic, Jaspal S Kooner, Seppo Koskinen, Kati Kristiansson, Zoltan Kutalik, Maris Laan, Marty Larson, Lenore J Launer, Benjamin Lehne, Terho Lehtimäki, David CM Liewald, Li Lin, Lars Lind, Cecilia M Lindgren, YongMei Liu, Ruth JF Loos, Lorna M Lopez, Yingchang Lu, Leo-Pekka Lyytikäinen, Anubha Mahajan, Chrysovalanto Mamasoula, Jaume Marrugat, Jonathan Marten, Yuri Milaneschi, Anna Morgan, Andrew P Morris, Alanna C Morrison, Peter J Munson, Mike A Nalls, Priyanka Nandakumar, Christopher P Nelson, Teemu Niiranen, Ilja M Nolte, Teresa Nutile, Albertine J Oldehinkel, Ben A Oostra, Paul F O’Reilly, Elin Org, Sandosh Padmanabhan, Walter Palmas, Aarno Palotie, Alison Pattie, Brenda WJH Penninx, Markus Perola, Annette Peters, Ozren Polasek, Peter P Pramstaller, Quang Tri Nguyen, Olli T Raitakari, Rainer Rettig, Kenneth Rice, Paul M Ridker, Janina S Ried, Harriëtte Riese, Samuli Ripatti, Antonietta Robino, Lynda M Rose, Jerome I Rotter, Igor Rudan, Daniela Ruggiero, Yasaman Saba, Cinzia F Sala, Veikko Salomaa, Nilesh J Samani, Antti-Pekka Sarin, Reinhold Schmidt, Helena Schmidt, Nick Shrine, David Siscovick, Albert V Smith, Harold Snieder, Siim Sõber, Rossella Sorice, John M Starr, David J Stott, David P Strachan, Rona J Strawbridge, Johan Sundström, Morris A Swertz, Kent D Taylor, Alexander Teumer, Martin D Tobin, Maciej Tomaszewski, Daniela Toniolo, Michela Traglia, Stella Trompet, Jaakko Tuomilehto, Christophe Tzourio, André G Uitterlinden, Ahmad Vaez, Peter J van der Most, Cornelia M van Duijn, Germaine C Verwoert, Veronique Vitart, Uwe Völker, Peter Vollenweider, Dragana Vuckovic, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, James F Wilson, Alan F Wright, Jie Yao, Tatijana Zemunik, Weihua Zhang, John R Attia, Adam S Butterworth, Daniel I Chasman, David Conen, Francesco Cucca, John Danesh, Caroline Hayward, Joanna MM Howson, Markku Laakso, Edward G Lakatta, Claudia Langenberg, Olle Melander, Dennis O Mook-Kanamori, Colin NA Palmer, Lorenz Risch, Robert A Scott, Rodney J Scott, Peter Sever, Tim D Spector, Pim van der Harst, Nicholas J Wareham, Eleftheria Zeggini, Daniel Levy, Patricia B Munroe, Christopher Newton-Cheh, Morris J Brown, Andres Metspalu, Bruce M. Psaty, Louise V Wain, Paul Elliott, Mark J Caulfield, Padhraig Gormley, Verneri Anttila, Priit Palta, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, Mikko Kallela, Tobias M Freilinger, Caroline Ran, Scott G Gordon, Anine H Stam, Stacy Steinberg, Guntram Borck, Markku Koiranen, Lydia Quaye, Hieab H H Adams, Juho Wedenoja, David A Hinds, Julie E Buring, Markus Schürks, Maria Gudlaug Hrafnsdottir, Hreinn Stefansson, Susan M Ring, Brenda W J H Penninx, Markus Färkkilä, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Rainer Malik, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Mart Kals, Kalle Pärn, Eija Hämäläinen, Hailiang Huang, Andrea E Byrnes, Lude Franke, Jie Huang, Evie Stergiakouli, Phil H Lee, Cynthia Sandor, Caleb Webber, Zameel Cader, Bertram Muller-Myhsok, Stefan Schreiber, Thomas Meitinger, Johan G Eriksson, Kauko Heikkilä, Elizabeth Loehrer, Andre G Uitterlinden, Lynn Cherkas, Audun Stubhaug, Christopher S Nielsen, Minna Männikkö, Evelin Mihailov, Hartmut Göbel, Ann-Louise Esserlind, Anne Francke Christensen, Thomas Folkmann Hansen, Thomas Werge, Jaakko Kaprio, Arpo J Aromaa, Olli Raitakari, M Arfan Ikram, Tim Spector, Marjo-Riitta Järvelin, Christian Kubisch, Michel D Ferrari, Andrea C Belin, Maija Wessman, Arn M J M van den Maagdenberg, George Davey Smith, Kari Stefansson, Nicholas Eriksson, Mark J Daly, Benjamin M Neale, Jes Olesen, Dale R Nyholt, Masato Akiyama, Varinder S. Alg, Joseph P. Broderick, Ben M. Brumpton, Jérôme Dauvillier, Hubert Desal, Christian Dina, Christoph M. Friedrich, Emília I. Gaál-Paavola, Jean-Christophe Gentric, Sven Hirsch, Isabel C. Hostettler, Henry Houlden, Juha E. Jääskeläinen, Marianne Bakke Johnsen, Liming Li, Kuang Lin, Antti Lindgren, Olivier Martin, Koichi Matsuda, Iona Y. Millwood, Olivier Naggara, Mika Niemelä, Joanna Pera, Richard Redon, Guy A. Rouleau, Marie Søfteland Sandvei, Sabine Schilling, Eimad Shotar, Agnieszka Slowik, Chikashi Terao, W. M. Monique Verschuren, Robin G. Walters, David J. Werring, Cristen J. Willer, Daniel Woo, Bradford B. Worrall, Sirui Zhou, Biological Psychology, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, AMS - Sports, AMS - Ageing & Vitality, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Systems Ecology, Sociology and Social Gerontology, Bakker, Mark K., Kanning, Jos P., Abraham, Gad, Martinsen, Amy E., Winsvold, Bendik S., Zwart, John-Anker, Bourcier, Romain, Sawada, Tomonobu, Koido, Masaru, Kamatani, Yoichiro, Morel, Sandrine, Amouyel, Philippe, Debette, Stéphanie, Bijlenga, Philippe, Berrandou, Takiy, Ganesh, Santhi K., Bouatia-Naji, Nabila, Jones, Gregory, Bown, Matthew, Rinkel, Gabriel J. E., Veldink, Jan H., Ruigrok, Ynte M., Girotto, G., All-In Stroke, Hunt, Group, Cadisp, Consortium for Blood Pressure, International, Headache Genetics Consortium, International, Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group, International, Utrecht University [Utrecht], Baker Heart and Diabetes Institute (AUSTRALIA), University of Melbourne, University of Oslo (UiO), Norwegian University of Science and Technology (NTNU), Oslo University Hospital [Oslo], Centre hospitalier universitaire de Nantes (CHU Nantes), unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), The University of Tokyo (UTokyo), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Hôpital Universitaire de Genève = University Hospitals of Geneva (HUG), Université de Genève = University of Geneva (UNIGE), Excellence Laboratory LabEx DISTALZ, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Bordeaux [Bordeaux], Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), University of Michigan Medical School [Ann Arbor], University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, University of Otago [Dunedin, Nouvelle-Zélande], University of Leicester, Laboratoire de Neurosciences Fonctionnelles et Pathologies - UR UPJV 4559 (LNFP), Université de Picardie Jules Verne (UPJV), CHU Amiens-Picardie, HUNT All-In Stroke, CADISP group, International Consortium for Blood Pressure, International Headache Genetics Consortium, International Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group: Anne Hege Aamodt, Anne Heidi Skogholt, Ben M Brumpton, Cristen J Willer, Else C Sandset, Espen S Kristoffersen, Hanne Ellekjær, Ingrid Heuch, Jonas B Nielsen, Knut Hagen, Kristian Hveem, Lars G Fritsche, Laurent F Thomas, Linda M Pedersen, Maiken E Gabrielsen, Oddgeir L Holmen, Sigrid Børte, Wei Zhou, Shérine Abboud, Massimo Pandolfo, Vincent Thijs, Didier Leys, Marie Bodenant, Fabien Louillet, Emmanuel Touzé, Jean-Louis Mas, Yves Samson, Sara Leder, Anne Léger, Sandrine Deltour, Sophie Crozier, Isabelle Méresse, Sandrine Canaple, Olivier Godefroy, Maurice Giroud, Yannick Béjot, Pierre Decavel, Elizabeth Medeiros, Paola Montiel, Thierry Moulin, Fabrice Vuillier, Jean Dallongeville, Antti J Metso, Tiina Metso, Turgut Tatlisumak, Caspar Grond-Ginsbach, Christoph Lichy, Manja Kloss, Inge Werner, Marie-Luise Arnold, Michael Dos Santos, Armin Grau, Martin Dichgans, Constanze Thomas-Feles, Ralf Weber, Tobias Brandt, Alessandro Pezzini, Valeria De Giuli, Filomena Caria, Loris Poli, Alessandro Padovani, Anna Bersano, Silvia Lanfranconi, Simone Beretta, Carlo Ferrarese, Giacomo Giacolone, Stefano Paolucci, Philippe Lyrer, Stefan Engelter, Felix Fluri, Florian Hatz, Dominique Gisler, Leo Bonati, Henrik Gensicke, Margareth Amort, Hugh Markus, Jennifer Majersik, Bradford Worrall, Andrew Southerland, John Cole, Steven Kittner, Evangelos Evangelou, Helen R Warren, He Gao, Georgios Ntritsos, Niki Dimou, Tonu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Jun Ding, Franco Giulianini, Elizabeth G Holliday, Anne U Jackson, Ruifang Li-Gao, Wei-Yu Lin, Jian'an Luan, Massimo Mangino, Christopher Oldmeadow, Bram Peter Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M Willems, Jing-Hua Zhao, John Connell, Renée de Mutsert, Alex Sf Doney, Martin Farrall, Cristina Menni, Andrew D Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E Arking, Kristin L Ayers, Caterina M Barbieri, Chiara Batini, Joshua C Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I Boomsma, Erwin P Bottinger, Peter S Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis Collins, Heather J Cordell, Gail Davies, Martin H de Borst, Eco J de Geus, Ian J Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg B Ehret, Roberto Elosua, Stefan Enroth, A Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H Franco, Ilaria Gandin, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Anuj Goel, Alan J Gow, Vilmundur Gudnason, Xiuqing Guo, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Sarah E Harris, Catharina A Hartman, Aki S Havulinna, Andrew A Hicks, Edith Hofer, Albert Hofman, Jouke-Jan Hottenga, Jennifer E Huffman, Shih-Jen Hwang, Erik Ingelsson, Alan James, Rick Jansen, Marjo-Riitta Jarvelin, Roby Joehanes, Åsa Johansson, Andrew D Johnson, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Antti Jula, Mika Kähönen, Sekar Kathiresan, Bernard D Keavney, Kay-Tee Khaw, Paul Knekt, Joanne Knight, Ivana Kolcic, Jaspal S Kooner, Seppo Koskinen, Kati Kristiansson, Zoltan Kutalik, Maris Laan, Marty Larson, Lenore J Launer, Benjamin Lehne, Terho Lehtimäki, David Cm Liewald, Li Lin, Lars Lind, Cecilia M Lindgren, YongMei Liu, Ruth Jf Loos, Lorna M Lopez, Yingchang Lu, Leo-Pekka Lyytikäinen, Anubha Mahajan, Chrysovalanto Mamasoula, Jaume Marrugat, Jonathan Marten, Yuri Milaneschi, Anna Morgan, Andrew P Morris, Alanna C Morrison, Peter J Munson, Mike A Nalls, Priyanka Nandakumar, Christopher P Nelson, Teemu Niiranen, Ilja M Nolte, Teresa Nutile, Albertine J Oldehinkel, Ben A Oostra, Paul F O'Reilly, Elin Org, Sandosh Padmanabhan, Walter Palmas, Aarno Palotie, Alison Pattie, Brenda Wjh Penninx, Markus Perola, Annette Peters, Ozren Polasek, Peter P Pramstaller, Quang Tri Nguyen, Olli T Raitakari, Rainer Rettig, Kenneth Rice, Paul M Ridker, Janina S Ried, Harriëtte Riese, Samuli Ripatti, Antonietta Robino, Lynda M Rose, Jerome I Rotter, Igor Rudan, Daniela Ruggiero, Yasaman Saba, Cinzia F Sala, Veikko Salomaa, Nilesh J Samani, Antti-Pekka Sarin, Reinhold Schmidt, Helena Schmidt, Nick Shrine, David Siscovick, Albert V Smith, Harold Snieder, Siim Sõber, Rossella Sorice, John M Starr, David J Stott, David P Strachan, Rona J Strawbridge, Johan Sundström, Morris A Swertz, Kent D Taylor, Alexander Teumer, Martin D Tobin, Maciej Tomaszewski, Daniela Toniolo, Michela Traglia, Stella Trompet, Jaakko Tuomilehto, Christophe Tzourio, André G Uitterlinden, Ahmad Vaez, Peter J van der Most, Cornelia M van Duijn, Germaine C Verwoert, Veronique Vitart, Uwe Völker, Peter Vollenweider, Dragana Vuckovic, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, James F Wilson, Alan F Wright, Jie Yao, Tatijana Zemunik, Weihua Zhang, John R Attia, Adam S Butterworth, Daniel I Chasman, David Conen, Francesco Cucca, John Danesh, Caroline Hayward, Joanna Mm Howson, Markku Laakso, Edward G Lakatta, Claudia Langenberg, Olle Melander, Dennis O Mook-Kanamori, Colin Na Palmer, Lorenz Risch, Robert A Scott, Rodney J Scott, Peter Sever, Tim D Spector, Pim van der Harst, Nicholas J Wareham, Eleftheria Zeggini, Daniel Levy, Patricia B Munroe, Christopher Newton-Cheh, Morris J Brown, Andres Metspalu, Bruce M Psaty, Louise V Wain, Paul Elliott, Mark J Caulfield, Padhraig Gormley, Verneri Anttila, Priit Palta, Tonu Esko, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, Mikko Kallela, Tobias M Freilinger, Caroline Ran, Scott G Gordon, Anine H Stam, Stacy Steinberg, Guntram Borck, Markku Koiranen, Lydia Quaye, Hieab H H Adams, Terho Lehtimäki, Antti-Pekka Sarin, Juho Wedenoja, David A Hinds, Julie E Buring, Markus Schürks, Paul M Ridker, Maria Gudlaug Hrafnsdottir, Hreinn Stefansson, Susan M Ring, Jouke-Jan Hottenga, Brenda W J H Penninx, Markus Färkkilä, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Rainer Malik, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Mart Kals, Reedik Mägi, Kalle Pärn, Eija Hämäläinen, Hailiang Huang, Andrea E Byrnes, Lude Franke, Jie Huang, Evie Stergiakouli, Phil H Lee, Cynthia Sandor, Caleb Webber, Zameel Cader, Bertram Muller-Myhsok, Stefan Schreiber, Thomas Meitinger, Johan G Eriksson, Veikko Salomaa, Kauko Heikkilä, Elizabeth Loehrer, Andre G Uitterlinden, Albert Hofman, Cornelia M van Duijn, Lynn Cherkas, Linda M Pedersen, Audun Stubhaug, Christopher S Nielsen, Minna Männikkö, Evelin Mihailov, Lili Milani, Hartmut Göbel, Ann-Louise Esserlind, Anne Francke Christensen, Thomas Folkmann Hansen, Thomas Werge, Jaakko Kaprio, Arpo J Aromaa, Olli Raitakari, M Arfan Ikram, Tim Spector, Marjo-Riitta Järvelin, Andres Metspalu, Christian Kubisch, David P Strachan, Michel D Ferrari, Andrea C Belin, Martin Dichgans, Maija Wessman, Arn M J M van den Maagdenberg, Dorret I Boomsma, George Davey Smith, Kari Stefansson, Nicholas Eriksson, Mark J Daly, Benjamin M Neale, Jes Olesen, Daniel I Chasman, Dale R Nyholt, Aarno Palotie, Masato Akiyama, Varinder S Alg, Sigrid Børte, Joseph P Broderick, Ben M Brumpton, Jérôme Dauvillier, Hubert Desal, Christian Dina, Christoph M Friedrich, Emília I Gaál-Paavola, Jean-Christophe Gentric, Sven Hirsch, Isabel C Hostettler, Henry Houlden, Kristian Hveem, Juha E Jääskeläinen, Marianne Bakke Johnsen, Liming Li, Kuang Lin, Antti Lindgren, Olivier Martin, Koichi Matsuda, Iona Y Millwood, Olivier Naggara, Mika Niemelä, Joanna Pera, Richard Redon, Guy A Rouleau, Marie Søfteland Sandvei, Sabine Schilling, Eimad Shotar, Agnieszka Slowik, Chikashi Terao, W M Monique Verschuren, Robin G Walters, David J Werring, Cristen J Willer, Daniel Woo, Bradford B Worrall, Sirui Zhou, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and Admin, Oskar
Subjects: Advanced and Specialized Nursing, Incidence, risk assessment, Smoking/epidemiology, intracranial aneurysm, genetic heterogeneity, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Risk Factors, Intracranial Aneurysm/epidemiology, Humans, Subarachnoid Hemorrhage/epidemiology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, genetics, Neurology (clinical), aneurysmal subarachnoid hemorrhage, genetic, Cardiology and Cardiovascular Medicine
Abstract: Background: Recently, common genetic risk factors for intracranial aneurysm (IA) and aneurysmal subarachnoid hemorrhage (ASAH) were found to explain a large amount of disease heritability and therefore have potential to be used for genetic risk prediction. We constructed a genetic risk score to (1) predict ASAH incidence and IA presence (combined set of unruptured IA and ASAH) and (2) assess its association with patient characteristics. Methods: A genetic risk score incorporating genetic association data for IA and 17 traits related to IA (so-called metaGRS) was created using 1161 IA cases and 407 392 controls from the UK Biobank population study. The metaGRS was validated in combination with risk factors blood pressure, sex, and smoking in 828 IA cases and 68 568 controls from the Nordic HUNT population study. Furthermore, we assessed association between the metaGRS and patient characteristics in a cohort of 5560 IA patients. Results: Per SD increase of metaGRS, the hazard ratio for ASAH incidence was 1.34 (95% CI, 1.20–1.51) and the odds ratio for IA presence 1.09 (95% CI, 1.01–1.18). Upon including the metaGRS on top of clinical risk factors, the concordance index to predict ASAH hazard increased from 0.63 (95% CI, 0.59–0.67) to 0.65 (95% CI, 0.62–0.69), while prediction of IA presence did not improve. The metaGRS was statistically significantly associated with age at ASAH (β=−4.82×10 −3 per year [95% CI, −6.49×10 −3 to −3.14×10 −3 ]; P =1.82×10 −8 ), and location of IA at the internal carotid artery (odds ratio=0.92 [95% CI, 0.86–0.98]; P =0.0041). Conclusions: The metaGRS was predictive of ASAH incidence, although with limited added value over clinical risk factors. The metaGRS was not predictive of IA presence. Therefore, we do not recommend using this metaGRS in daily clinical care. Genetic risk does partly explain the clinical heterogeneity of IA warranting prioritization of clinical heterogeneity in future genetic prediction studies of IA and ASAH.
Published: 2023

19. Associations of autozygosity with a broad range of human phenotypes

Author: David W Clark, Yukinori Okada, Kristjan H S Moore, Dan Mason, Nicola Pirastu, Ilaria Gandin, Hannele Mattsson, Catriona L K Barnes, Kuang Lin, Jing Hua Zhao, Patrick Deelen, Rebecca Rohde, Claudia Schurmann, Xiuqing Guo, Franco Giulianini, Weihua Zhang, Carolina Medina-Gomez, Robert Karlsson, Yanchun Bao, Traci M Bartz, Clemens Baumbach, Ginevra Biino, Matthew J Bixley, Marco Brumat, Jin-Fang Chai, Tanguy Corre, Diana L Cousminer, Annelot M Dekker, David A Eccles, Kristel R van Eijk, Christian Fuchsberger, He Gao, Marine Germain, Scott D Gordon, Hugoline G de Haan, Sarah E Harris, Edith Hofer, Alicia Huerta-Chagoya, Catherine Igartua, Iris E Jansen, Yucheng Jia, Tim Kacprowski, Torgny Karlsson, Marcus E Kleber, Shengchao Alfred Li, Ruifang Li-Gao, Anubha Mahajan, Koichi Matsuda, Karina Meidtner, Weihua Meng, May E Montasser, Peter J van der Most, Matthias Munz, Teresa Nutile, Teemu Palviainen, Gauri Prasad, Rashmi B Prasad, Tallapragada Divya Sri Priyanka, Federica Rizzi, Erika Salvi, Bishwa R Sapkota, Daniel Shriner, Line Skotte, Melissa C Smart, Albert Vernon Smith, Ashley van der Spek, Cassandra N Spracklen, Rona J Strawbridge, Salman M Tajuddin, Stella Trompet, Constance Turman, Niek Verweij, Clara Viberti, Lihua Wang, Helen R Warren, Robyn E Wootton, Lisa R Yanek, Jie Yao, Noha A Yousri, Wei Zhao, Adebowale A Adeyemo, Saima Afaq, Carlos Alberto Aguilar-Salinas, Masato Akiyama, Matthew L Albert, Matthew A Allison, Maris Alver, Tin Aung, Fereidoun Azizi, Amy R Bentley, Heiner Boeing, Eric Boerwinkle, Judith B Borja, Gert J de Borst, Erwin P Bottinger, Linda Broer, Harry Campbell, Stephen Chanock, Miao-Li Chee, Guanjie Chen, Yii-Der I Chen, Zhengming Chen, Yen-Feng Chiu, Massimiliano Cocca, Francis S Collins, Maria Pina Concas, Janie Corley, Giovanni Cugliari, Rob M van Dam, Anna Damulina, Maryam S Daneshpour, Felix R Day, Graciela E Delgado, Klodian Dhana, Alexander S F Doney, Marcus Dörr, Ayo P Doumatey, Nduna Dzimiri, S Sunna Ebenesersdóttir, Joshua Elliott, Paul Elliott, Ralf Ewert, Janine F Felix, Krista Fischer, Barry I Freedman, Giorgia Girotto, Anuj Goel, Martin Gögele, Mark O Goodarzi, Mariaelisa Graff, Einat Granot-Hershkovitz, Francine Grodstein, Simonetta Guarrera, Daniel F Gudbjartsson, Kamran Guity, Bjarni Gunnarsson, Yu Guo, Saskia P Hagenaars, Christopher A Haiman, Avner Halevy, Tamara B Harris, Mehdi Hedayati, David A van Heel, Makoto Hirata, Imo Höfer, Chao Agnes Hsiung, Jinyan Huang, Yi-Jen Hung, M Arfan Ikram, Anuradha Jagadeesan, Pekka Jousilahti, Yoichiro Kamatani, Masahiro Kanai, Nicola D Kerrison, Thorsten Kessler, Kay-Tee Khaw, Chiea Chuen Khor, Dominique P V de Kleijn, Woon-Puay Koh, Ivana Kolcic, Peter Kraft, Bernhard K Krämer, Zoltán Kutalik, Johanna Kuusisto, Claudia Langenberg, Lenore J Launer, Deborah A Lawlor, I-Te Lee, Wen-Jane Lee, Markus M Lerch, Liming Li, Jianjun Liu, Marie Loh, Stephanie J London, Stephanie Loomis, Yingchang Lu, Jian’an Luan, Reedik Mägi, Ani W Manichaikul, Paolo Manunta, Gísli Másson, Nana Matoba, Xue W Mei, Christa Meisinger, Thomas Meitinger, Massimo Mezzavilla, Lili Milani, Iona Y Millwood, Yukihide Momozawa, Amy Moore, Pierre-Emmanuel Morange, Hortensia Moreno-Macías, Trevor A Mori, Alanna C Morrison, Taulant Muka, Yoshinori Murakami, Alison D Murray, Renée de Mutsert, Josyf C Mychaleckyj, Mike A Nalls, Matthias Nauck, Matt J Neville, Ilja M Nolte, Ken K Ong, Lorena Orozco, Sandosh Padmanabhan, Gunnar Pálsson, James S Pankow, Cristian Pattaro, Alison Pattie, Ozren Polasek, Neil Poulter, Peter P Pramstaller, Lluis Quintana-Murci, Katri Räikkönen, Sarju Ralhan, Dabeeru C Rao, Wouter van Rheenen, Stephen S Rich, Paul M Ridker, Cornelius A Rietveld, Antonietta Robino, Frank J A van Rooij, Daniela Ruggiero, Yasaman Saba, Charumathi Sabanayagam, Maria Sabater-Lleal, Cinzia Felicita Sala, Veikko Salomaa, Kevin Sandow, Helena Schmidt, Laura J Scott, William R Scott, Bahareh Sedaghati-Khayat, Bengt Sennblad, Jessica van Setten, Peter J Sever, Wayne H-H Sheu, Yuan Shi, Smeeta Shrestha, Sharvari Rahul Shukla, Jon K Sigurdsson, Timo Tonis Sikka, Jai Rup Singh, Blair H Smith, Alena Stančáková, Alice Stanton, John M Starr, Lilja Stefansdottir, Leon Straker, Patrick Sulem, Gardar Sveinbjornsson, Morris A Swertz, Adele M Taylor, Kent D Taylor, Natalie Terzikhan, Yih-Chung Tham, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Annika Tillander, Russell P Tracy, Teresa Tusié-Luna, Ioanna Tzoulaki, Simona Vaccargiu, Jagadish Vangipurapu, Jan H Veldink, Veronique Vitart, Uwe Völker, Eero Vuoksimaa, Salma M Wakil, Melanie Waldenberger, Gurpreet S Wander, Ya Xing Wang, Nicholas J Wareham, Sarah Wild, Chittaranjan S Yajnik, Jian-Min Yuan, Lingyao Zeng, Liang Zhang, Jie Zhou, Najaf Amin, Folkert W Asselbergs, Stephan J L Bakker, Diane M Becker, Benjamin Lehne, David A Bennett, Leonard H van den Berg, Sonja I Berndt, Dwaipayan Bharadwaj, Lawrence F Bielak, Murielle Bochud, Mike Boehnke, Claude Bouchard, Jonathan P Bradfield, Jennifer A Brody, Archie Campbell, Shai Carmi, Mark J Caulfield, David Cesarini, John C Chambers, Giriraj Ratan Chandak, Ching-Yu Cheng, Marina Ciullo, Marilyn Cornelis, Daniele Cusi, George Davey Smith, Ian J Deary, Rajkumar Dorajoo, Cornelia M van Duijn, David Ellinghaus, Jeanette Erdmann, Johan G Eriksson, Evangelos Evangelou, Michele K Evans, Jessica D Faul, Bjarke Feenstra, Mary Feitosa, Sylvain Foisy, Andre Franke, Yechiel Friedlander, Paolo Gasparini, Christian Gieger, Clicerio Gonzalez, Philippe Goyette, Struan F A Grant, Lyn R Griffiths, Leif Groop, Vilmundur Gudnason, Ulf Gyllensten, Hakon Hakonarson, Anders Hamsten, Pim van der Harst, Chew-Kiat Heng, Andrew A Hicks, Hagit Hochner, Heikki Huikuri, Steven C Hunt, Vincent W V Jaddoe, Philip L De Jager, Magnus Johannesson, Åsa Johansson, Jost B Jonas, J Wouter Jukema, Juhani Junttila, Jaakko Kaprio, Sharon L. R. Kardia, Fredrik Karpe, Meena Kumari, Markku Laakso, Sander W van der Laan, Jari Lahti, Matthias Laudes, Rodney A Lea, Wolfgang Lieb, Thomas Lumley, Nicholas G Martin, Winfried März, Giuseppe Matullo, Mark I McCarthy, Sarah E Medland, Tony R Merriman, Andres Metspalu, Brian F Meyer, Karen L Mohlke, Grant W Montgomery, Dennis Mook-Kanamori, Patricia B Munroe, Kari E North, Dale R Nyholt, Jeffery R O’connell, Carole Ober, Albertine J Oldehinkel, Walter Palmas, Colin Palmer, Gerard G Pasterkamp, Etienne Patin, Craig E Pennell, Louis Perusse, Patricia A Peyser, Mario Pirastu, Tinca J. C. Polderman, David J Porteous, Danielle Posthuma, Bruce M Psaty, John D Rioux, Fernando Rivadeneira, Charles Rotimi, Jerome I Rotter, Igor Rudan, Hester M Den Ruijter, Dharambir K Sanghera, Naveed Sattar, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Robert A Scott, Alan R Shuldiner, Xueling Sim, Neil Small, Jennifer A Smith, Nona Sotoodehnia, E-Shyong Tai, Alexander Teumer, Nicholas J Timpson, Daniela Toniolo, David-Alexandre Tregouet, Tiinamaija Tuomi, Peter Vollenweider, Carol A Wang, David R Weir, John B Whitfield, Cisca Wijmenga, Tien-Yin Wong, John Wright, Jingyun Yang, Lei Yu, Babette S Zemel, Alan B Zonderman, Markus Perola, Patrik K. E. Magnusson, André G Uitterlinden, Jaspal S Kooner, Daniel I Chasman, Ruth J. F. Loos, Nora Franceschini, Lude Franke, Chris S Haley, Caroline Hayward, Robin G Walters, John R. B. Perry, Tōnu Esko, Agnar Helgason, Kari Stefansson, Peter K Joshi, Michiaki Kubo, and James F Wilson
Subjects: Science
Abstract: Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.
Published: 2019
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20. Electrocardiographic Detection of Left Ventricular Hypertrophy; Adding Body Mass Index and Spatial QRS-T Angle: A Cross-Sectional Study

Author: Theodora W. Elffers, Stella Trompet, Renée de Mutsert, Arie C. Maan, Hildo J. Lamb, Peter W. Macfarlane, Frits R. Rosendaal, and J. Wouter Jukema
Subjects: Electrocardiography, Left ventricular hypertrophy, Obesity, Spatial QRS-T angle, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Abstract Introduction We investigated improvement of electrocardiographic LVH detection by adding measures of adiposity and/or novel electrocardiographic measures. Left ventricular hypertrophy (LVH) is an important risk factor for adverse cardiovascular outcomes. Improvement of electrocardiographic criteria for LVH is desirable, since electrocardiography is widely used. Methods We included 1091 participants of the Netherlands Epidemiology of Obesity Study (NEO) who underwent cardiac magnetic resonance imaging (MRI). Performance of Sokolow–Lyon and Cornell voltage and product criteria was assessed. Stepwise regression analysis was performed with each conventional electrocardiographic criterion and age, sex, body mass index (BMI), waist circumference, and waist:hip ratio (p-entry 0.10). T-wave abnormalities or the spatial QRS-T angle (SA) were added to the improved models. Results The study population had a mean (SD) age of 56 (6) years, BMI of 26.1 (4.0) kg/m2 and 46% were men. MRI-LVH was present in 10% of participants. The c-statistic for Sokolow–Lyon voltage was 0.58, R 2 was 0.02 and sensitivity at 90% specificity was 16%, for Sokolow–Lyon product this was 0.62, 0.02, and 21%, for Cornell voltage 0.65, 0.04, and 28% and for Cornell product 0.67, 0.04, and 25%. Best performing models were obtained by addition of both BMI and SA (Sokolow-Lyon voltage: c-statistic 0.74, R 2 0.11, sensitivity of 41% at 90% specificity; Sokolow-Lyon product: 0.75, 0.12, 42%; Cornell voltage: c-statistic 0.70, R 2 0.08, sensitivity of 38% at 90% specificity; Cornell product: c-statistic 0.72, R 2 0.08, sensitivity of 44% at 90% specificity). Conclusions Electrocardiographic detection of LVH improved by adding BMI and SA to a model with conventional electrocardiographic criteria. This approach would require little extra effort and application in clinical practice is feasible. However, results should first be replicated in high-risk populations.
Published: 2019
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21. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

Author: Alexander Teumer, Yong Li, Sahar Ghasemi, Bram P. Prins, Matthias Wuttke, Tobias Hermle, Ayush Giri, Karsten B. Sieber, Chengxiang Qiu, Holger Kirsten, Adrienne Tin, Audrey Y. Chu, Nisha Bansal, Mary F. Feitosa, Lihua Wang, Jin-Fang Chai, Massimiliano Cocca, Christian Fuchsberger, Mathias Gorski, Anselm Hoppmann, Katrin Horn, Man Li, Jonathan Marten, Damia Noce, Teresa Nutile, Sanaz Sedaghat, Gardar Sveinbjornsson, Bamidele O. Tayo, Peter J. van der Most, Yizhe Xu, Zhi Yu, Lea Gerstner, Johan Ärnlöv, Stephan J. L. Bakker, Daniela Baptista, Mary L. Biggs, Eric Boerwinkle, Hermann Brenner, Ralph Burkhardt, Robert J. Carroll, Miao-Li Chee, Miao-Ling Chee, Mengmeng Chen, Ching-Yu Cheng, James P. Cook, Josef Coresh, Tanguy Corre, John Danesh, Martin H. de Borst, Alessandro De Grandi, Renée de Mutsert, Aiko P. J. de Vries, Frauke Degenhardt, Katalin Dittrich, Jasmin Divers, Kai-Uwe Eckardt, Georg Ehret, Karlhans Endlich, Janine F. Felix, Oscar H. Franco, Andre Franke, Barry I. Freedman, Sandra Freitag-Wolf, Ron T. Gansevoort, Vilmantas Giedraitis, Martin Gögele, Franziska Grundner-Culemann, Daniel F. Gudbjartsson, Vilmundur Gudnason, Pavel Hamet, Tamara B. Harris, Andrew A. Hicks, Hilma Holm, Valencia Hui Xian Foo, Shih-Jen Hwang, M. Arfan Ikram, Erik Ingelsson, Vincent W. V. Jaddoe, Johanna Jakobsdottir, Navya Shilpa Josyula, Bettina Jung, Mika Kähönen, Chiea-Chuen Khor, Wieland Kiess, Wolfgang Koenig, Antje Körner, Peter Kovacs, Holly Kramer, Bernhard K. Krämer, Florian Kronenberg, Leslie A. Lange, Carl D. Langefeld, Jeannette Jen-Mai Lee, Terho Lehtimäki, Wolfgang Lieb, Su-Chi Lim, Lars Lind, Cecilia M. Lindgren, Jianjun Liu, Markus Loeffler, Leo-Pekka Lyytikäinen, Anubha Mahajan, Joseph C. Maranville, Deborah Mascalzoni, Barbara McMullen, Christa Meisinger, Thomas Meitinger, Kozeta Miliku, Dennis O. Mook-Kanamori, Martina Müller-Nurasyid, Josyf C. Mychaleckyj, Matthias Nauck, Kjell Nikus, Boting Ning, Raymond Noordam, Jeffrey O’ Connell, Isleifur Olafsson, Nicholette D. Palmer, Annette Peters, Anna I. Podgornaia, Belen Ponte, Tanja Poulain, Peter P. Pramstaller, Ton J. Rabelink, Laura M. Raffield, Dermot F. Reilly, Rainer Rettig, Myriam Rheinberger, Kenneth M. Rice, Fernando Rivadeneira, Heiko Runz, Kathleen A. Ryan, Charumathi Sabanayagam, Kai-Uwe Saum, Ben Schöttker, Christian M. Shaffer, Yuan Shi, Albert V. Smith, Konstantin Strauch, Michael Stumvoll, Benjamin B. Sun, Silke Szymczak, E-Shyong Tai, Nicholas Y. Q. Tan, Kent D. Taylor, Andrej Teren, Yih-Chung Tham, Joachim Thiery, Chris H. L. Thio, Hauke Thomsen, Unnur Thorsteinsdottir, Anke Tönjes, Johanne Tremblay, André G. Uitterlinden, Pim van der Harst, Niek Verweij, Suzanne Vogelezang, Uwe Völker, Melanie Waldenberger, Chaolong Wang, Otis D. Wilson, Charlene Wong, Tien-Yin Wong, Qiong Yang, Masayuki Yasuda, Shreeram Akilesh, Murielle Bochud, Carsten A. Böger, Olivier Devuyst, Todd L. Edwards, Kevin Ho, Andrew P. Morris, Afshin Parsa, Sarah A. Pendergrass, Bruce M. Psaty, Jerome I. Rotter, Kari Stefansson, James G. Wilson, Katalin Susztak, Harold Snieder, Iris M. Heid, Markus Scholz, Adam S. Butterworth, Adriana M. Hung, Cristian Pattaro, and Anna Köttgen
Subjects: Science
Abstract: Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.
Published: 2019
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22. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: 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
Subjects: 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.
Published: 2019
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23. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes

Author: Nora Franceschini, Claudia Giambartolomei, Paul S. de Vries, Chris Finan, Joshua C. Bis, Rachael P. Huntley, Ruth C. Lovering, Salman M. Tajuddin, Thomas W. Winkler, Misa Graff, Maryam Kavousi, Caroline Dale, Albert V. Smith, Edith Hofer, Elisabeth M. van Leeuwen, Ilja M. Nolte, Lingyi Lu, Markus Scholz, Muralidharan Sargurupremraj, Niina Pitkänen, Oscar Franzén, Peter K. Joshi, Raymond Noordam, Riccardo E. Marioni, Shih-Jen Hwang, Solomon K. Musani, Ulf Schminke, Walter Palmas, Aaron Isaacs, Adolfo Correa, Alan B. Zonderman, Albert Hofman, Alexander Teumer, Amanda J. Cox, André G. Uitterlinden, Andrew Wong, Andries J. Smit, Anne B. Newman, Annie Britton, Arno Ruusalepp, Bengt Sennblad, Bo Hedblad, Bogdan Pasaniuc, Brenda W. Penninx, Carl D. Langefeld, Christina L. Wassel, Christophe Tzourio, Cristiano Fava, Damiano Baldassarre, Daniel H. O’Leary, Daniel Teupser, Diana Kuh, Elena Tremoli, Elmo Mannarino, Enzo Grossi, Eric Boerwinkle, Eric E. Schadt, Erik Ingelsson, Fabrizio Veglia, Fernando Rivadeneira, Frank Beutner, Ganesh Chauhan, Gerardo Heiss, Harold Snieder, Harry Campbell, Henry Völzke, Hugh S. Markus, Ian J. Deary, J. Wouter Jukema, Jacqueline de Graaf, Jacqueline Price, Janne Pott, Jemma C. Hopewell, Jingjing Liang, Joachim Thiery, Jorgen Engmann, Karl Gertow, Kenneth Rice, Kent D. Taylor, Klodian Dhana, Lambertus A. L. M. Kiemeney, Lars Lind, Laura M. Raffield, Lenore J. Launer, Lesca M. Holdt, Marcus Dörr, Martin Dichgans, Matthew Traylor, Matthias Sitzer, Meena Kumari, Mika Kivimaki, Mike A. Nalls, Olle Melander, Olli Raitakari, Oscar H. Franco, Oscar L. Rueda-Ochoa, Panos Roussos, Peter H. Whincup, Philippe Amouyel, Philippe Giral, Pramod Anugu, Quenna Wong, Rainer Malik, Rainer Rauramaa, Ralph Burkhardt, Rebecca Hardy, Reinhold Schmidt, Renée de Mutsert, Richard W. Morris, Rona J. Strawbridge, S. Goya Wannamethee, Sara Hägg, Sonia Shah, Stela McLachlan, Stella Trompet, Sudha Seshadri, Sudhir Kurl, Susan R. Heckbert, Susan Ring, Tamara B. Harris, Terho Lehtimäki, Tessel E. Galesloot, Tina Shah, Ulf de Faire, Vincent Plagnol, Wayne D. Rosamond, Wendy Post, Xiaofeng Zhu, Xiaoling Zhang, Xiuqing Guo, Yasaman Saba, MEGASTROKE Consortium, Abbas Dehghan, Adrie Seldenrijk, Alanna C. Morrison, Anders Hamsten, Bruce M. Psaty, Cornelia M. van Duijn, Deborah A. Lawlor, Dennis O. Mook-Kanamori, Donald W. Bowden, Helena Schmidt, James F. Wilson, James G. Wilson, Jerome I. Rotter, Joanna M. Wardlaw, John Deanfield, Julian Halcox, Leo-Pekka Lyytikäinen, Markus Loeffler, Michele K. Evans, Stéphanie Debette, Steve E. Humphries, Uwe Völker, Vilmundur Gudnason, Aroon D. Hingorani, Johan L. M. Björkegren, Juan P. Casas, and Christopher J. O’Donnell
Subjects: Science
Abstract: Carotid intima-media thickness (cIMT) and plaque are associated with subclinical atherosclerosis and coronary heart disease (CHD). Here, the authors identify and prioritize genetic loci for cIMT and plaque by GWAS and colocalization approaches and further demonstrate genetic correlation with CHD and stroke.
Published: 2018
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24. The association between leptin and subclinical cardiovascular disease explained by body fat: Observational and Mendelian randomization analyses

Author: Tim Christen, Renée de Mutsert, Roelof AJ. Smit, Ko Willems van Dijk, Hildo J. Lamb, Frits R. Rosendaal, J Wouter Jukema, and Stella Trompet
Subjects: Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), Cardiology and Cardiovascular Medicine
Published: 2023

25. Multi-ancestry genome-wide association study accounting for gene-psychosocial factor interactions identifies novel loci for blood pressure traits

Author: Daokun Sun, Melissa A. Richard, Solomon K. Musani, Yun Ju Sung, Thomas W. Winkler, Karen Schwander, Jin Fang Chai, Xiuqing Guo, Tuomas O. Kilpeläinen, Dina Vojinovic, Hugues Aschard, Traci M. Bartz, Lawrence F. Bielak, Michael R. Brown, Kumaraswamy Chitrala, Fernando P. Hartwig, Andrea R.V.R. Horimoto, Yongmei Liu, Alisa K. Manning, Raymond Noordam, Albert V. Smith, Sarah E. Harris, Brigitte Kühnel, Leo-Pekka Lyytikäinen, Ilja M. Nolte, Rainer Rauramaa, Peter J. van der Most, Rujia Wang, Erin B. Ware, Stefan Weiss, Wanqing Wen, Lisa R. Yanek, Dan E. Arking, Donna K. Arnett, Ana Barac, Eric Boerwinkle, Ulrich Broeckel, Aravinda Chakravarti, Yii-Der Ida Chen, L. Adrienne Cupples, Martha L. Davigulus, Lisa de las Fuentes, Renée de Mutsert, Paul S. de Vries, Joseph A.C. Delaney, Ana V. Diez Roux, Marcus Dörr, Jessica D. Faul, Amanda M. Fretts, Linda C. Gallo, Hans Jörgen Grabe, C. Charles Gu, Tamara B. Harris, Catharina C.A. Hartman, Sami Heikkinen, M. Arfan Ikram, Carmen Isasi, W. Craig Johnson, Jost Bruno Jonas, Robert C. Kaplan, Pirjo Komulainen, Jose E. Krieger, Daniel Levy, Jianjun Liu, Kurt Lohman, Annemarie I. Luik, Lisa W. Martin, Thomas Meitinger, Yuri Milaneschi, Jeff R. O’Connell, Walter R. Palmas, Annette Peters, Patricia A. Peyser, Laura Pulkki-Råback, Leslie J. Raffel, Alex P. Reiner, Kenneth Rice, Jennifer G. Robinson, Frits R. Rosendaal, Carsten Oliver Schmidt, Pamela J. Schreiner, Lars Schwettmann, James M. Shikany, Xiao-ou Shu, Stephen Sidney, Mario Sims, Jennifer A. Smith, Nona Sotoodehnia, Konstantin Strauch, E. Shyong Tai, Kent D. Taylor, André G. Uitterlinden, Cornelia M. van Duijn, Melanie Waldenberger, Hwee-Lin Wee, Wen-Bin Wei, Gregory Wilson, Deng Xuan, Jie Yao, Donglin Zeng, Wei Zhao, Xiaofeng Zhu, Alan B. Zonderman, Diane M. Becker, Ian J. Deary, Christian Gieger, Timo A. Lakka, Terho Lehtimäki, Kari E. North, Albertine J. Oldehinkel, Brenda W.J.H. Penninx, Harold Snieder, Ya-Xing Wang, David R. Weir, Wei Zheng, Michele K. Evans, W. James Gauderman, Vilmundur Gudnason, Bernardo L. Horta, Ching-Ti Liu, Dennis O. Mook-Kanamori, Alanna C. Morrison, Alexandre C. Pereira, Bruce M. Psaty, Najaf Amin, Ervin R. Fox, Charles Kooperberg, Xueling Sim, Laura Bierut, Jerome I. Rotter, Sharon L.R. Kardia, Nora Franceschini, Dabeeru C. Rao, and Myriam Fornage
Subjects: gene-environment interaction, genome-wide association study, blood pressure, hypertension, psychosocial factors, depressive symptoms, Genetics, QH426-470
Abstract: Summary: Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP, taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from five ancestry groups. In the combined meta-analyses of stages 1 and 2, we identified 59 loci (p value < 5e−8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A and PFIA2), as well as genes previously implicated in neuropsychiatric or stress-related disorders (FSTL5 and CHODL). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.
Published: 2021
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26. Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.

Author: Peitao Wu, Denis Rybin, Lawrence F Bielak, Mary F Feitosa, Nora Franceschini, Yize Li, Yingchang Lu, Jonathan Marten, Solomon K Musani, Raymond Noordam, Sridharan Raghavan, Lynda M Rose, Karen Schwander, Albert V Smith, Salman M Tajuddin, Dina Vojinovic, Najaf Amin, Donna K Arnett, Erwin P Bottinger, Ayse Demirkan, Jose C Florez, Mohsen Ghanbari, Tamara B Harris, Lenore J Launer, Jingmin Liu, Jun Liu, Dennis O Mook-Kanamori, Alison D Murray, Mike A Nalls, Patricia A Peyser, André G Uitterlinden, Trudy Voortman, Claude Bouchard, Daniel Chasman, Adolfo Correa, Renée de Mutsert, Michele K Evans, Vilmundur Gudnason, Caroline Hayward, Linda Kao, Sharon L R Kardia, Charles Kooperberg, Ruth J F Loos, Michael M Province, Tuomo Rankinen, Susan Redline, Paul M Ridker, Jerome I Rotter, David Siscovick, Blair H Smith, Cornelia van Duijn, Alan B Zonderman, D C Rao, James G Wilson, Josée Dupuis, James B Meigs, Ching-Ti Liu, and Jason L Vassy
Subjects: Medicine, Science
Abstract: Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with baseline smoking status (ever vs. never) on incident T2D and fasting glucose (FG). Analyses were performed in participants of European (EA) and African ancestry (AA) separately. Discovery analyses were conducted using genotype data from the 50,000-single-nucleotide polymorphism (SNP) ITMAT-Broad-CARe (IBC) array in 5 cohorts from from the Candidate Gene Association Resource Consortium (n = 23,189). Replication was performed in up to 16 studies from the Cohorts for Heart Aging Research in Genomic Epidemiology Consortium (n = 74,584). In meta-analysis of discovery and replication estimates, 5 SNPs met at least one criterion for potential interaction with smoking on incident T2D at p
Published: 2020
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27. Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function

Author: Annah B. Wyss, Tamar Sofer, Mi Kyeong Lee, Natalie Terzikhan, Jennifer N. Nguyen, Lies Lahousse, Jeanne C. Latourelle, Albert Vernon Smith, Traci M. Bartz, Mary F. Feitosa, Wei Gao, Tarunveer S. Ahluwalia, Wenbo Tang, Christopher Oldmeadow, Qing Duan, Kim de Jong, Mary K. Wojczynski, Xin-Qun Wang, Raymond Noordam, Fernando Pires Hartwig, Victoria E. Jackson, Tianyuan Wang, Ma’en Obeidat, Brian D. Hobbs, Tianxiao Huan, Hongsheng Gui, Margaret M. Parker, Donglei Hu, Lauren S. Mogil, Gleb Kichaev, Jianping Jin, Mariaelisa Graff, Tamara B. Harris, Ravi Kalhan, Susan R. Heckbert, Lavinia Paternoster, Kristin M. Burkart, Yongmei Liu, Elizabeth G. Holliday, James G. Wilson, Judith M. Vonk, Jason L. Sanders, R. Graham Barr, Renée de Mutsert, Ana Maria Baptista Menezes, Hieab H. H. Adams, Maarten van den Berge, Roby Joehanes, Albert M. Levin, Jennifer Liberto, Lenore J. Launer, Alanna C. Morrison, Colleen M. Sitlani, Juan C. Celedón, Stephen B. Kritchevsky, Rodney J. Scott, Kaare Christensen, Jerome I. Rotter, Tobias N. Bonten, Fernando César Wehrmeister, Yohan Bossé, Shujie Xiao, Sam Oh, Nora Franceschini, Jennifer A. Brody, Robert C. Kaplan, Kurt Lohman, Mark McEvoy, Michael A. Province, Frits R. Rosendaal, Kent D. Taylor, David C. Nickle, L. Keoki Williams, Esteban G. Burchard, Heather E. Wheeler, Don D. Sin, Vilmundur Gudnason, Kari E. North, Myriam Fornage, Bruce M. Psaty, Richard H. Myers, George O’Connor, Torben Hansen, Cathy C. Laurie, Patricia A. Cassano, Joohon Sung, Woo Jin Kim, John R. Attia, Leslie Lange, H. Marike Boezen, Bharat Thyagarajan, Stephen S. Rich, Dennis O. Mook-Kanamori, Bernardo Lessa Horta, André G. Uitterlinden, Hae Kyung Im, Michael H. Cho, Guy G. Brusselle, Sina A. Gharib, Josée Dupuis, Ani Manichaikul, and Stephanie J. London
Subjects: Science
Abstract: Pulmonary function is influenced by environmental factors, lifestyle, and genetics. Here, in a multiethnic GWAS meta-analysis for pulmonary function traits, the authors identify over 50 additional genetic loci, a subset of which are specific for European, African, Asian, or Hispanic/Latino ancestry.
Published: 2018
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28. Pulmonary function, exhaled nitric oxide and symptoms in asthma patients with obesity: a cross-sectional study

Author: Marise J. Kasteleyn, Tobias N. Bonten, Renée de Mutsert, Willemien Thijs, Pieter S. Hiemstra, Saskia le Cessie, Frits R. Rosendaal, Niels H. Chavannes, and Christian Taube
Subjects: Asthma, Obesity, FeNO, Symptoms, Lung function, Diseases of the respiratory system, RC705-779
Abstract: Abstract Background Obesity is a risk factor for the development of asthma. In patients with obesity the diagnosis of asthma is often based on symptoms, but without objective measurements. Nevertheless, obesity-associated asthma is recognized as a distinct asthma phenotype. Therefore, this study explores lung function and symptoms in asthma patients with and without obesity. Methods The Netherlands Epidemiology of Obesity (NEO) study is a population-based cohort study with 6671 participants (aged 45–65 years) of whom 472 had asthma. Of this latter group, linear regression analysis was used to examine differences in lung function and symptoms between asthma patients with (n = 248) and without obesity (n = 224), and between asthma patients with and without increased FeNO. Analyses were adjusted for confounders. Results Asthma patients with obesity had lower predicted FEV1 and FVC values than patients without obesity [adjusted mean difference (MD) -3.3% predicted, 95% CI -6.5, −0.2; adjusted MD −5.0% predicted, 95% CI -7.8, −2.1]. The prevalence of symptoms was higher in patients with obesity. Asthma patients with obesity and with increased FeNO had lower FEV1 and FEV1/FVC values compared with those with low FeNO (adjusted MD −6.9% predicted, 95% CI -11.7, −2.0; −2.4%, 95% CI -4.6, −0.2). Conclusion Asthma patients with obesity had lower FEV1 and FVC values than patients without obesity. This suggests that patients with obesity have restrictive lung function changes, rather than obstructive changes. Asthma patients with obesity and increased FeNO showed more obstructive changes. FeNO might help to identify patients with eosinophilic inflammation-driven asthma, whereas patients with low FeNO might have an obesity-associated asthma phenotype in which symptoms are partly caused by the obesity.
Published: 2017
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29. Reference intervals of urinary kidney injury biomarkers for middle-aged men and women determined by quantitative protein mass spectrometry

Author: Tirsa T van Duijl, L Renee Ruhaak, Ellen K Hoogeveen, Renée de Mutsert, Frits R Rosendaal, Saskia le Cessie, Johan W de Fijter, and Christa M Cobbaert
Subjects: Male, Mass spectrometry, Clinical Biochemistry, Proteins, General Medicine, Middle Aged, Acute Kidney Injury, Kidney, Renal disease, Analytes, Lipocalin-2, Tandem Mass Spectrometry, Creatinine, Laboratory methods, Humans, Female, Hepatitis A Virus Cellular Receptor 1, Biomarkers, Clinical studies, Chromatography, Liquid
Abstract: Background and Aims There is an ongoing need to recognize early kidney injury and its progression in structural chronic pathologies. The proteins neutrophil-gelatinase-associated lipocalin (NGAL), insulin-like growth factor-binding protein 7 (IGFBP7), tissue inhibitor of metalloproteinases 2 (TIMP2), kidney injury molecule-1 (KIM-1), C-X-C motif chemokine 9 (CXCL9), transforming growth factor-beta 1 (TGF-β1), solute carrier family 22 member 2 (SLC22A2), nephrin, cubilin, and uromodulin (UMOD) have been proposed as early kidney injury biomarkers. To guide clinical interpretation, their urinary concentrations should be accompanied by reference intervals, which we here establish in a representative Dutch middle-aged population. Materials and Methods The 24 h urine samples from 1443 Caucasian middle-aged men and women were analyzed for the biomarkers by quantitative LC-MS/MS. Biomarker excretion per 24 h were calculated, and urine creatinine and osmolality were measured for dilution normalization. This population was characterized by demographic and anthropometric parameters, comorbid conditions, and conventional kidney function measures. Results NGAL, IGFBP7, TIMP2, KIM-1, and UMOD could be quantified in this population, whereas nephrin, SLC22A2, and CXCL9 were below their detection limits. Urine creatinine and osmolality were correlated to urine volume (r = −0.71; −0.74) and to IGFBP7 (r = 0.73; 0.71) and TIMP2 (r = 0.71; 0.69). Crude and normalized biomarker concentrations were affected by sex, but not by age, body mass index, smoking, kidney function, or common comorbid conditions. The reference intervals (men; women) were 18–108; 21–131 pmol IGFBP7/mmol creatinine, 1–63; 4–224 pmol NGAL/mmol creatinine, 7–48; 7–59 pmol TIMP2/mmol creatinine, Conclusion We present dilution-normalized and sex-stratified urinary reference intervals of kidney injury biomarkers in a middle-aged Caucasian population.
Published: 2022

30. Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease

Author: Theodora W. Elffers, Renée de Mutsert, Hildo J. Lamb, Arie C. Maan, Peter W. Macfarlane, Ko Willems van Dijk, Frits R. Rosendaal, J. Wouter Jukema, and Stella Trompet
Subjects: Metabolic syndrome, Obesity, Cardiovascular disease, Nutritional diseases. Deficiency diseases, RC620-627
Abstract: Abstract Background The metabolic syndrome (MetS) and its components are well-established risk factors for cardiovascular diseases (CVD). It is inconclusive whether MetS and MetS score are associated with electrocardiographic markers of subclinical CVD, therefore we investigated this in a population without pre-existing CVD. Methods We performed a cross-sectional analysis in the Netherlands Epidemiology of Obesity study, a population-based cohort including 6671 participants aged 45–65. We excluded participants with pre-existing CVD (n = 499) or missing MetS components (n = 58). MetS was defined based on a modified definition of Adult Treatment Panel III. Subclinical CVD parameters were determined with 12-lead ECGs. MetS score was defined as number of abnormal MetS components and obesity as Body Mass Index (BMI) ≥30 kg/m2. We performed weighted adjusted linear regression analyses. Results Our study population (n = 6114) had a mean (SD) BMI of 26.3 (4.4) kg/m2 and MetS was present in 24% of participants. All ECG parameters differed between participants with and without MetS. Per additional MetS component, heart rate was 0.17 SD (95% CI 0.15, 0.19) higher, P wave duration, QRS complex duration and corrected QT interval were longer [0.07 SD (0.05, 0.10), 0.04 SD (0.01, 0.06) and 0.05 SD (0.02, 0.08) respectively], P wave axis, T wave axis and QRS axis were lower [−0.10 SD (−0.12, −0.07), −0.07 SD (−0.10, −0.05) and −0.19 SD (−0.22, −0.16)] and percentage small Q-waves also increased per additional MetS component. Associations were stronger in non-obese than obese participants. In joint modelling of all MetS components, increased waist circumference showed strongest associations with ECG parameters. Conclusions Metabolic syndrome score and its individual components, in particular abdominal obesity, are associated with ECG markers of subclinical CVD, showing the importance of limiting the amount of MetS components in both obese and non-obese persons.
Published: 2017
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31. Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study

Author: Ian J. Neeland, Sebastiaan C. Boone, Dennis O. Mook‐Kanamori, Colby Ayers, Roelof A. J. Smit, Ioanna Tzoulaki, Ibrahim Karaman, Claire Boulange, Dhananjay Vaidya, Naresh Punjabi, Matthew Allison, David M. Herrington, J. Wouter Jukema, Frits R. Rosendaal, Hildo J. Lamb, Ko Willems van Dijk, Philip Greenland, and Renée de Mutsert
Subjects: adipose tissue, cohort, metabolite, metabolomics, obesity, visceral adipose tissue, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Background Identifying associations between serum metabolites and visceral adipose tissue (VAT) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity‐related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT. Methods and Results Associations between fasting serum metabolites and VAT area (by computed tomography or magnetic resonance imaging) were assessed with cross‐sectional linear regression of individual‐level data from participants in MESA (Multi‐Ethnic Study of Atherosclerosis; discovery, N=1103) and the NEO (Netherlands Epidemiology of Obesity) study (replication, N=2537). Untargeted 1H nuclear magnetic resonance metabolomics profiling of serum was performed in MESA, and metabolites were replicated in the NEO study using targeted 1H nuclear magnetic resonance spectroscopy. A total of 30 590 metabolomic spectral variables were evaluated. After adjustment for age, sex, race/ethnicity, socioeconomic status, smoking, physical activity, glucose/lipid‐lowering medication, and body mass index, 2104 variables representing 24 nonlipid and 49 lipid/lipoprotein subclass metabolites remained significantly associated with VAT (P=4.88×10−20–1.16×10−3). These included conventional metabolites, amino acids, acetylglycoproteins, intermediates of glucose and hepatic metabolism, organic acids, and subclasses of apolipoproteins, cholesterol, phospholipids, and triglycerides. Metabolites mapped to 31 biochemical pathways, including amino acid substrate use/metabolism and glycolysis/gluconeogenesis. In the replication cohort, acetylglycoproteins, branched‐chain amino acids, lactate, glutamine (inversely), and atherogenic lipids remained associated with VAT (P=1.90×10−35–8.46×10−7), with most associations remaining after additional adjustment for surrogates of VAT (glucose level, waist circumference, and serum triglycerides), reflecting novel independent associations. Conclusions We identified and replicated a metabolite panel associated with VAT in 2 community‐based cohorts. These findings persisted after adjustment for body mass index and appear to define a metabolic signature of visceral adiposity.
Published: 2019
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32. Assessment of reproducibility and biological variability of fasting and postprandial plasma metabolite concentrations using 1H NMR spectroscopy.

Author: Ruifang Li-Gao, David A Hughes, Saskia le Cessie, Renée de Mutsert, Martin den Heijer, Frits R Rosendaal, Ko Willems van Dijk, Nicholas J Timpson, and Dennis O Mook-Kanamori
Subjects: Medicine, Science
Abstract: IntroductionIt is crucial to understand the factors that introduce variability before applying metabolomics to clinical and biomarker research.ObjectivesWe quantified technical and biological variability of both fasting and postprandial metabolite concentrations measured using 1H NMR spectroscopy in plasma samples.MethodsIn the Netherlands Epidemiology of Obesity study (n = 6,671), 148 metabolite concentrations (101 metabolites belonging to lipoprotein subclasses) were measured under fasting and postprandial states (150 minutes after a mixed liquid meal). Technical variability was evaluated among 265 fasting and 851 postprandial samples, with the identical blood plasma sample being measured twice by the same laboratory protocol. Biological reproducibility was assessed by measuring 165 individuals twice across time for evaluation of short- (3 years) biological variability. Intra-class coefficients (ICCs) were used to assess variability. The ICCs of the fasting metabolites were compared with the postprandial metabolites using two-sided paired Wilcoxon test separately for short- and long-term measurements.ResultsBoth fasting and postprandial metabolite concentrations showed high technical reproducibility using 1H NMR spectroscopy (median ICC = 0.99). Postprandial metabolite concentrations revealed slightly higher ICC scores than fasting ones in short-term repeat measures (median ICC in postprandial and fasting metabolite concentrations 0.72 versus 0.67, Wilcoxon p-value = 8.0×10-14). Variability did not increase further in a long-term repeat measure, with median ICC in postprandial of 0.64 and in fasting metabolite concentrations 0.66.ConclusionTechnical reproducibility is excellent. Biological reproducibility of postprandial metabolite concentrations showed a less or equal variability than fasting metabolite concentrations over time.
Published: 2019
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33. Hepatic triglyceride content is intricately associated with numerous metabolites and biochemical pathways

Author: Tariq O. Faquih, Jan Bert van Klinken, Ruifang Li‐Gao, Raymond Noordam, Diana van Heemst, Sebastiaan Boone, Patricia A. Sheridan, Gregory Michelotti, Hildo Lamb, Renée de Mutsert, Frits R. Rosendaal, Astrid van Hylckama Vlieg, Ko Willems van Dijk, Dennis O. Mook‐Kanamori, Laboratory Genetic Metabolic Diseases, Laboratory for General Clinical Chemistry, and AGEM - Amsterdam Gastroenterology Endocrinology Metabolism
Subjects: dysregulation, Hepatology, genetic targets, liver triglyceride content, metabolomics, pathway analysis
Abstract: Background and Aims: Non-alcoholic fatty liver disease (NAFLD) is characterized by the pathological accumulation of triglycerides in hepatocytes and is associated with insulin resistance, atherogenic dyslipidaemia and cardiometabolic diseases. Thus far, the extent of metabolic dysregulation associated with hepatic triglyceride accumulation has not been fully addressed. In this study, we aimed to identify metabolites associated with hepatic triglyceride content (HTGC) and map these associations using network analysis. Methods: To gain insight in the spectrum of metabolites associated with hepatic triglyceride accumulation, we performed a comprehensive plasma metabolomics screening of 1363 metabolites in apparently healthy middle aged (age 45–65) individuals (N = 496) in whom HTGC was measured by proton magnetic resonance spectroscopy. An atlas of metabolite–HTGC associations, based on univariate results, was created using correlation-based Gaussian graphical model (GGM) and genome scale metabolic model network analyses. Pathways associated with the clinical prognosis marker fibrosis 4 (FIB-4) index were tested using a closed global test. Results: Our analyses revealed that 118 metabolites were univariately associated with HTGC (p-value
Published: 2023

34. Associations between Lifestyle Factors and Vitamin E Metabolites in the General Population

Author: Leon G. Martens, Jiao Luo, Fleur L. Meulmeester, Nadia Ashrafi, Esther Winters van Eekelen, Renée de Mutsert, Dennis O. Mook-Kanamori, Frits R. Rosendaal, Ko Willems van Dijk, Kevin Mills, Raymond Noordam, and Diana van Heemst
Subjects: vitamin E, antioxidants, lifestyle, smoking, sleep, physical activity, Therapeutics. Pharmacology, RM1-950
Abstract: The antioxidant vitamin E (α-tocopherol, α-TOH) protects lipids from oxidation by reactive oxygen species. We hypothesized that lifestyle factors associate with vitamin E metabolism marked by urinary α-tocopheronolactone hydroquinone (α-TLHQ) and α-carboxymethyl-hydroxychroman (α-CEHC levels), as potential reflection of lipid oxidation. We conducted a cross-sectional study in the Netherlands Epidemiology of Obesity Study. Serum α-TOH, and urinary α-TLHQ and α-CEHC were quantified by liquid chromatography coupled with tandem mass spectrometry. Information on the lifestyle factors (sleep, physical activity (PA), smoking and alcohol) were collected through questionnaires. Multivariable linear regression analyses were performed to assess the associations between the lifestyle factors and α-TOH measures. A total of 530 participants (46% men) were included with mean (SD) age of 56 (6) years. Of the examined lifestyle factors, only poor sleep was associated with a higher serum α-TOH (mean difference: 4% (95% CI: 1, 7%)). Current smoking was associated with higher urinary α-CEHC (32%: (14%, 53%)), with evidence of a dose–response relationship with smoking intensity (low pack years, 24% (2, 52%); high pack years, 55% (25, 93%)). Moderate physical activity was associated with a lower α-TLHQ relative to α-CEHC (−17%: (−26, −6%), compared with low PA). Only specific lifestyle factors associate with vitamin E metabolism. Examining serum α-TOH does not provide complete insight in vitamin E antioxidant capacity.
Published: 2020
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35. Change in Visceral Fat and Total Body Fat and the Effect on Cardiometabolic Risk Factors During Transgender Hormone Therapy

Author: Guy T'Sjoen, Martin den Heijer, Alessandra D. Fisher, Christel J. M. de Blok, Jaap Seidell, Maartje Klaver, Thomas Schreiner, Jos W. R. Twisk, Justine Defreyne, Renée de Mutsert, Daan M. van Velzen, Nota Nienke, Chantal M. Wiepjes, Internal medicine, Epidemiology and Data Science, APH - Health Behaviors & Chronic Diseases, APH - Methodology, APH - Aging & Later Life, Amsterdam Gastroenterology Endocrinology Metabolism, APH - Quality of Care, Youth and Lifestyle, and Network Institute
Subjects: Male, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Clinical Biochemistry, Blood lipids, Obesity/physiopathology, Type 2 diabetes, Biochemistry, Body Mass Index, Endocrinology, Risk Factors, insulin resistance, Medicine and Health Sciences, Prospective Studies, skin and connective tissue diseases, Adiposity, Cardiometabolic risk, Total body, Prognosis, transgender, adipose tissue, Cardiovascular Diseases, Female, AcademicSubjects/MED00250, cardiovascular risk, Adult, medicine.medical_specialty, Hormone Replacement Therapy, visceral fat, body fat distribution, Hormone Replacement Therapy/adverse effects, Intra-Abdominal Fat, Transgender Persons, lipids, Young Adult, Insulin resistance, Transgender Persons/statistics & numerical data, SDG 3 - Good Health and Well-being, Internal medicine, Commentaries, medicine, Humans, Obesity, Cardiovascular Diseases/etiology, Online Only Articles, Visceral fat, hormone therapy, business.industry, Biochemistry (medical), Cardiometabolic Risk Factors, medicine.disease, Hormone therapy, sense organs, Insulin Resistance, Intra-Abdominal Fat/physiopathology, business, metabolism, Hormone, trans persons, Follow-Up Studies
Abstract: Introduction Excess visceral fat increases the risk of type 2 diabetes and cardiovascular disease and is influenced by sex hormones. Our aim was to investigate changes in visceral fat and the ratio of visceral fat to total body fat (VAT/TBF) and their associations with changes in lipids and insulin resistance after 1 year of hormone therapy in trans persons. Methods In 179 trans women and 162 trans men, changes in total body and visceral fat estimated with dual-energy X-ray absorptiometry before and after 1 year of hormone therapy were related to lipids and insulin resistance [homeostatic model assessment of insulin resistance (HOMA-IR)] with linear regression analysis. Results In trans women, total body fat increased by 4.0 kg (95% CI 3.4, 4.7), while the amount of visceral fat did not change (−2 grams; 95% CI −15, 11), albeit with a large range from −318 to 281, resulting in a decrease in the VAT/TBF ratio of 17% (95% CI 15, 19). In trans men, total body fat decreased with 2.8 kg (95% CI 2.2, 3.5), while the amount of visceral fat did not change (3 g; 95% CI −10, 16; range −372, 311), increasing the VAT/TBF ratio by 14% (95% CI 10, 17). In both groups, VAT/TBF was not associated with changes in blood lipids or HOMA-IR. Conclusions Hormone therapy in trans women and trans men resulted in changes in VAT/TBF, mainly due to changes in total body fat and were unrelated to changes in cardiometabolic risk factors, which suggests that any unfavorable cardiometabolic effects of hormone therapy are not mediated by changes in visceral fat or VAT/TBF.
Published: 2022

36. List of contributors

Author: Ines Abdesselam, Monica Agarwal, Mandala Ajie, Adrianus J. Bakermans, Matthias Bauwens, Chris Boesch, Emer M. Brady, Michael Brady, Stacy A. Brethauer, Daniel Bulte, Emanuel Christ, Ilona A. Dekkers, Renée de Mutsert, Albert de Roos, Jean-Pierre Després, Wayne J. English, Stefan Fischli, Charles R. Flynn, Bénédicte Gaborit, Gaurav S. Gulsin, Joseph Henson, Ryota Higuchi, A.G. (Onno) Holleboom, Philip Jansen, György Jermendy, Janey Jiang, Jaap A. Joles, Ivica Just, J.J. Keller, Radka Klepochová, Michael Krebs, Roland Kreis, Martin Krššák, Hildo J. Lamb, Eylem Levelt, Ling Lin, Hannah Loher, Amanda MacCannell, Pál Maurovich-Horvat, Christopher P. Menzel, Daisuke Murakami, Karl Nadolsky, Isabel T.N. Nguyen, Mattijs E. Numans, Sean M. O'Neill, Andreas Paulus, Hanno Pijl, Jennifer J. Rayner, Matthew Robson, M.M. Ruissen, Yuichi Saito, Michiel Sala, Thomas Scherer, Marjolein P. Schoonakker, Jacob C. Seidell, Janina Senn, Sonia Severin, Rinke Stienstra, Sam Straw, Alexandre Triay Bagur, Jena Shaw Tronieri, Maarten E. Tushuizen, Philippe Valet, Elske L. van den Burg, Petra G. van Peet, Koen C. van Son, Marianne C. Verhaar, and Peter Wolf
Published: 2023

37. Overall, abdominal, and visceral obesity in men and women: an introduction

Author: Renée de Mutsert and Jean-Pierre Després
Published: 2023

38. Normal range CAG repeat size variations in the HTT gene are associated with an adverse lipoprotein profile partially mediated by body mass index

Author: Tariq O Faquih, N Ahmad Aziz, Sarah L Gardiner, Ruifang Li-Gao, Renée de Mutsert, Yuri Milaneschi, Stella Trompet, J Wouter Jukema, Frits R Rosendaal, Astrid van Hylckama Vlieg, Ko Willems van Dijk, and Dennis O Mook-Kanamori
Subjects: ddc:570, Genetics, General Medicine, Molecular Biology, Genetics (clinical)
Abstract: Tandem cytosine-adenine-guanine (CAG) repeat sizes of 36 or more in the huntingtin gene (HTT) cause Huntington's disease (HD). Apart from neuropsychiatric complications, the disease is also accompanied by metabolic dysregulation and weight loss, which contribute to a progressive functional decline. Recent studies also reported an association between repeats below the pathogenic threshold (
Published: 2023

39. The association between adiposity and atypical energy-related symptoms of depression: a role for metabolic dysregulations

Author: Tahani Alshehri, Dennis O Mook-Kanamori, Renée de Mutsert, Brenda WJH Penninx, Frits R Rosendaal, Saskia le Cessie, Yuri Milaneschi, Psychiatry, APH - Digital Health, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
Subjects: Metabolic Syndrome, Behavioral Neuroscience, Endocrine and Autonomic Systems, Depression, Immunology, Body Fat Distribution, Homeostasis, Genetic risk score, Body Mass Index
Abstract: BackgroundAdiposity has been shown to be linked with atypical energy-related symptoms (AES) of depression. We used genomics to separate the effect of adiposity from that of metabolic dysregulations to examine whether the link between obesity and AES is dependent on the presence of metabolic dysregulations.MethodData were from NEO (n=5734 individuals) and NESDA (n=2238 individuals) cohorts, in which the Inventory of Depressive Symptomatology (IDS-SR30) was assessed. AES profile was based on four symptoms: increased appetite, increased weight, low energy level, and leaden paralysis. We estimated associations between AES and two genetic risk scores (GRS) indexing increasing total body fat with (metabolically unhealthy adiposity, GRS-MUA) and without (metabolically healthy adiposity, GRS-MHA) metabolic dysregulations.ResultsGRS-MUA and GRS-MHA were both associated with higher total body fat in NEO study, but divergently associated with biomarkers of metabolic health (e.g. fasting glucose and HDL) in both cohorts. In the pooled results, per standard deviation, GRS-MUA was specifically associated with a higher AES score (β=0.03, 95%CI: 0.01; 0.05), while there was no association between GRS-MHA and AES (β=-0.01, 95%CI: -0.03; 0.01).ConclusionThese results suggest that the established link between adiposity and AES profile emerges in the presence of metabolic dysregulations, which may represent the connecting substrate between the two conditions.
Published: 2022

40. Meta-analysis of exome array data identifies six novel genetic loci for lung function [version 3; referees: 2 approved]

Author: Victoria E. Jackson, Jeanne C. Latourelle, Louise V. Wain, Albert V. Smith, Megan L. Grove, Traci M. Bartz, Ma'en Obeidat, Michael A. Province, Wei Gao, Beenish Qaiser, David J. Porteous, Patricia A. Cassano, Tarunveer S. Ahluwalia, Niels Grarup, Jin Li, Elisabeth Altmaier, Jonathan Marten, Sarah E. Harris, Ani Manichaikul, Tess D. Pottinger, Ruifang Li-Gao, Allan Lind-Thomsen, Anubha Mahajan, Lies Lahousse, Medea Imboden, Alexander Teumer, Bram Prins, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Nora Franceschini, Colleen M. Sitlani, Jennifer A. Brody, Yohan Bossé, Wim Timens, Aldi Kraja, Anu Loukola, Wenbo Tang, Yongmei Liu, Jette Bork-Jensen, Johanne M. Justesen, Allan Linneberg, Leslie A. Lange, Rajesh Rawal, Stefan Karrasch, Jennifer E. Huffman, Blair H. Smith, Gail Davies, Kristin M. Burkart, Josyf C. Mychaleckyj, Tobias N. Bonten, Stefan Enroth, Lars Lind, Guy G. Brusselle, Ashish Kumar, Beate Stubbe, Understanding Society Scientific Group, Mika Kähönen, Annah B. Wyss, Bruce M. Psaty, Susan R. Heckbert, Ke Hao, Taina Rantanen, Stephen B. Kritchevsky, Kurt Lohman, Tea Skaaby, Charlotta Pisinger, Torben Hansen, Holger Schulz, Ozren Polasek, Archie Campbell, John M. Starr, Stephen S. Rich, Dennis O. Mook-Kanamori, Åsa Johansson, Erik Ingelsson, André G. Uitterlinden, Stefan Weiss, Olli T. Raitakari, Vilmundur Gudnason, Kari E. North, Sina A. Gharib, Don D. Sin, Kent D. Taylor, George T. O'Connor, Jaakko Kaprio, Tamara B. Harris, Oluf Pederson, Henrik Vestergaard, James G. Wilson, Konstantin Strauch, Caroline Hayward, Shona Kerr, Ian J. Deary, R. Graham Barr, Renée de Mutsert, Ulf Gyllensten, Andrew P. Morris, M. Arfan Ikram, Nicole Probst-Hensch, Sven Gläser, Eleftheria Zeggini, Terho Lehtimäki, David P. Strachan, Josée Dupuis, Alanna C. Morrison, Ian P. Hall, Martin D. Tobin, and Stephanie J. London
Subjects: Genomics, Medicine, Science
Abstract: Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P
Published: 2018
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41. Meta-analysis of exome array data identifies six novel genetic loci for lung function [version 2; referees: 2 approved]

Author: Victoria E. Jackson, Jeanne C. Latourelle, Louise V. Wain, Albert V. Smith, Megan L. Grove, Traci M. Bartz, Ma'en Obeidat, Michael A. Province, Wei Gao, Beenish Qaiser, David J. Porteous, Patricia A. Cassano, Tarunveer S. Ahluwalia, Niels Grarup, Jin Li, Elisabeth Altmaier, Jonathan Marten, Sarah E. Harris, Ani Manichaikul, Tess D. Pottinger, Ruifang Li-Gao, Allan Lind-Thomsen, Anubha Mahajan, Lies Lahousse, Medea Imboden, Alexander Teumer, Bram Prins, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Nora Franceschini, Colleen M. Sitlani, Jennifer A. Brody, Yohan Bossé, Wim Timens, Aldi Kraja, Anu Loukola, Wenbo Tang, Yongmei Liu, Jette Bork-Jensen, Johanne M. Justesen, Allan Linneberg, Leslie A. Lange, Rajesh Rawal, Stefan Karrasch, Jennifer E. Huffman, Blair H. Smith, Gail Davies, Kristin M. Burkart, Josyf C. Mychaleckyj, Tobias N. Bonten, Stefan Enroth, Lars Lind, Guy G. Brusselle, Ashish Kumar, Beate Stubbe, Understanding Society Scientific Group, Mika Kähönen, Annah B. Wyss, Bruce M. Psaty, Susan R. Heckbert, Ke Hao, Taina Rantanen, Stephen B. Kritchevsky, Kurt Lohman, Tea Skaaby, Charlotta Pisinger, Torben Hansen, Holger Schulz, Ozren Polasek, Archie Campbell, John M. Starr, Stephen S. Rich, Dennis O. Mook-Kanamori, Åsa Johansson, Erik Ingelsson, André G. Uitterlinden, Stefan Weiss, Olli T. Raitakari, Vilmundur Gudnason, Kari E. North, Sina A. Gharib, Don D. Sin, Kent D. Taylor, George T. O'Connor, Jaakko Kaprio, Tamara B. Harris, Oluf Pederson, Henrik Vestergaard, James G. Wilson, Konstantin Strauch, Caroline Hayward, Shona Kerr, Ian J. Deary, R. Graham Barr, Renée de Mutsert, Ulf Gyllensten, Andrew P. Morris, M. Arfan Ikram, Nicole Probst-Hensch, Sven Gläser, Eleftheria Zeggini, Terho Lehtimäki, David P. Strachan, Josée Dupuis, Alanna C. Morrison, Ian P. Hall, Martin D. Tobin, and Stephanie J. London
Subjects: Genomics, Medicine, Science
Abstract: Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P
Published: 2018
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42. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

Author: Mary F Feitosa, Aldi T Kraja, Daniel I Chasman, Yun J Sung, Thomas W Winkler, Ioanna Ntalla, Xiuqing Guo, Nora Franceschini, Ching-Yu Cheng, Xueling Sim, Dina Vojinovic, Jonathan Marten, Solomon K Musani, Changwei Li, Amy R Bentley, Michael R Brown, Karen Schwander, Melissa A Richard, Raymond Noordam, Hugues Aschard, Traci M Bartz, Lawrence F Bielak, Rajkumar Dorajoo, Virginia Fisher, Fernando P Hartwig, Andrea R V R Horimoto, Kurt K Lohman, Alisa K Manning, Tuomo Rankinen, Albert V Smith, Salman M Tajuddin, Mary K Wojczynski, Maris Alver, Mathilde Boissel, Qiuyin Cai, Archie Campbell, Jin Fang Chai, Xu Chen, Jasmin Divers, Chuan Gao, Anuj Goel, Yanick Hagemeijer, Sarah E Harris, Meian He, Fang-Chi Hsu, Anne U Jackson, Mika Kähönen, Anuradhani Kasturiratne, Pirjo Komulainen, Brigitte Kühnel, Federica Laguzzi, Jian'an Luan, Nana Matoba, Ilja M Nolte, Sandosh Padmanabhan, Muhammad Riaz, Rico Rueedi, Antonietta Robino, M Abdullah Said, Robert A Scott, Tamar Sofer, Alena Stančáková, Fumihiko Takeuchi, Bamidele O Tayo, Peter J van der Most, Tibor V Varga, Veronique Vitart, Yajuan Wang, Erin B Ware, Helen R Warren, Stefan Weiss, Wanqing Wen, Lisa R Yanek, Weihua Zhang, Jing Hua Zhao, Saima Afaq, Najaf Amin, Marzyeh Amini, Dan E Arking, Tin Aung, Eric Boerwinkle, Ingrid Borecki, Ulrich Broeckel, Morris Brown, Marco Brumat, Gregory L Burke, Mickaël Canouil, Aravinda Chakravarti, Sabanayagam Charumathi, Yii-Der Ida Chen, John M Connell, Adolfo Correa, Lisa de Las Fuentes, Renée de Mutsert, H Janaka de Silva, Xuan Deng, Jingzhong Ding, Qing Duan, Charles B Eaton, Georg Ehret, Ruben N Eppinga, Evangelos Evangelou, Jessica D Faul, Stephan B Felix, Nita G Forouhi, Terrence Forrester, Oscar H Franco, Yechiel Friedlander, Ilaria Gandin, He Gao, Mohsen Ghanbari, Bruna Gigante, C Charles Gu, Dongfeng Gu, Saskia P Hagenaars, Göran Hallmans, Tamara B Harris, Jiang He, Sami Heikkinen, Chew-Kiat Heng, Makoto Hirata, Barbara V Howard, M Arfan Ikram, InterAct Consortium, Ulrich John, Tomohiro Katsuya, Chiea Chuen Khor, Tuomas O Kilpeläinen, Woon-Puay Koh, José E Krieger, Stephen B Kritchevsky, Michiaki Kubo, Johanna Kuusisto, Timo A Lakka, Carl D Langefeld, Claudia Langenberg, Lenore J Launer, Benjamin Lehne, Cora E Lewis, Yize Li, Shiow Lin, Jianjun Liu, Jingmin Liu, Marie Loh, Tin Louie, Reedik Mägi, Colin A McKenzie, Thomas Meitinger, Andres Metspalu, Yuri Milaneschi, Lili Milani, Karen L Mohlke, Yukihide Momozawa, Mike A Nalls, Christopher P Nelson, Nona Sotoodehnia, Jill M Norris, Jeff R O'Connell, Nicholette D Palmer, Thomas Perls, Nancy L Pedersen, Annette Peters, Patricia A Peyser, Neil Poulter, Leslie J Raffel, Olli T Raitakari, Kathryn Roll, Lynda M Rose, Frits R Rosendaal, Jerome I Rotter, Carsten O Schmidt, Pamela J Schreiner, Nicole Schupf, William R Scott, Peter S Sever, Yuan Shi, Stephen Sidney, Mario Sims, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, John M Starr, Konstantin Strauch, Heather M Stringham, Nicholas Y Q Tan, Hua Tang, Kent D Taylor, Yik Ying Teo, Yih Chung Tham, Stephen T Turner, André G Uitterlinden, Peter Vollenweider, Melanie Waldenberger, Lihua Wang, Ya Xing Wang, Wen Bin Wei, Christine Williams, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, Alan B Zonderman, Diane M Becker, Michael Boehnke, Donald W Bowden, John C Chambers, Ian J Deary, Tõnu Esko, Martin Farrall, Paul W Franks, Barry I Freedman, Philippe Froguel, Paolo Gasparini, Christian Gieger, Jost Bruno Jonas, Yoichiro Kamatani, Norihiro Kato, Jaspal S Kooner, Zoltán Kutalik, Markku Laakso, Cathy C Laurie, Karin Leander, Terho Lehtimäki, Lifelines Cohort Study, Patrik K E Magnusson, Albertine J Oldehinkel, Brenda W J H Penninx, Ozren Polasek, David J Porteous, Rainer Rauramaa, Nilesh J Samani, James Scott, Xiao-Ou Shu, Pim van der Harst, Lynne E Wagenknecht, Nicholas J Wareham, Hugh Watkins, David R Weir, Ananda R Wickremasinghe, Tangchun Wu, Wei Zheng, Claude Bouchard, Kaare Christensen, Michele K Evans, Vilmundur Gudnason, Bernardo L Horta, Sharon L R Kardia, Yongmei Liu, Alexandre C Pereira, Bruce M Psaty, Paul M Ridker, Rob M van Dam, W James Gauderman, Xiaofeng Zhu, Dennis O Mook-Kanamori, Myriam Fornage, Charles N Rotimi, L Adrienne Cupples, Tanika N Kelly, Ervin R Fox, Caroline Hayward, Cornelia M van Duijn, E Shyong Tai, Tien Yin Wong, Charles Kooperberg, Walter Palmas, Kenneth Rice, Alanna C Morrison, Paul Elliott, Mark J Caulfield, Patricia B Munroe, Dabeeru C Rao, Michael A Province, and Daniel Levy
Subjects: Medicine, Science
Abstract: Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
Published: 2018
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43. Illness perceptions and health-related quality of life in individuals with overweight and obesity

Author: Yvette Meuleman, Hildo J. Lamb, Fathimah S. Sigit, Renée de Mutsert, and Adrian A. Kaptein
Subjects: Adult, Male, Endocrinology, Diabetes and Metabolism, media_common.quotation_subject, Medicine (miscellaneous), Overweight, Body Mass Index, Quality of life, Surveys and Questionnaires, Intervention (counseling), Perception, medicine, Humans, Obesity, Abdominal obesity, Netherlands, media_common, Nutrition and Dietetics, business.industry, Self-Management, Middle Aged, medicine.disease, Cross-Sectional Studies, Epidemiology of obesity, Quality of Life, Female, medicine.symptom, Worry, business, Clinical psychology
Abstract: Introduction To understand how individuals (self-)manage obesity, insight is needed into how patients perceive their condition and how this perception translates into health outcomes (e.g., health-related quality of life, HRQOL). Our objectives were (1) to examine illness perceptions in individuals with overweight and obesity, and (2) to investigate associations of these perceptions with physical and mental HRQOL. Methods In a cross-sectional analysis of the Netherlands Epidemiology of Obesity Study (n = 6432; 52% women), illness perceptions were assessed using the Brief Illness Perception Questionnaire, and HRQOL was assessed using the 36-Item Short-Form Health Survey. Illness perceptions were calculated for different categories of overall, abdominal, and metabolically unhealthy obesity. We investigated associations of illness perceptions with HRQOL using BMI-stratified multivariable linear regression analyses. Results Compared to individuals with normal weight, individuals with obesity believed to a higher extent that their condition had more serious consequences [Mean Difference (95%CI): 1.8 (1.6-2.0)], persisted for a longer time [3.4 (3.2-3.6)], manifested in more symptoms [3.8 (3.6-4.0)], caused more worry [4.2 (3.9-4.4)] and emotional distress [2.0 (1.8-2.2)], but was more manageable with medical treatment [3.1 (2.9-3.4)]. They perceived to a lesser extent that they had personal control [-2.2 (-2.4, -2.0)] and understanding [-0.3 (-0.5, -0.1)] regarding their condition. These negative perceptions were less pronounced in individuals with abdominal obesity. Behaviour/Lifestyle was attributed by 73% of participants to be the cause of their obesity. Stronger negative illness perceptions were associated with impaired HRQOL, particularly the physical component. Conclusion Individuals with obesity perceived their conditions as threatening, and this seemed somewhat stronger in individuals with overall obesity than those with abdominal obesity. Behaviour/Lifestyle is a crucial target intervention and empowering self-management behaviour to achieve a healthy body weight may deliver promising results. In addition, strategies that aim to change negative perceptions of obesity into more adaptive ones may improve HRQOL.
Published: 2021

44. Timing of physical activity in relation to liver fat content and insulin resistance

Author: Jeroen H. P. M. van der Velde, Sebastiaan C. Boone, Esther Winters-van Eekelen, Matthijs K. C. Hesselink, Vera B. Schrauwen-Hinderling, Patrick Schrauwen, Hildo J. Lamb, Frits R. Rosendaal, Renée de Mutsert, Nutrition and Movement Sciences, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, and MUMC+: DA BV Research (9)
Subjects: Epidemiology, Physical activity, Endocrinology, Diabetes and Metabolism, HEART-RATE, TRIGLYCERIDE CONTENT, EXERCISE, Sedentary behaviour, SEDENTARY TIME, DISEASE, OBESITY, insulin resistance, BENEFITS, Internal Medicine, Liver fat, Timing, VALIDITY, BEHAVIOR, Sedentary breaks, ASSOCIATIONS
Abstract: Aims/hypothesis We hypothesised that the insulin-sensitising effect of physical activity depends on the timing of the activity. Here, we examined cross-sectional associations of breaks in sedentary time and timing of physical activity with liver fat content and insulin resistance in a Dutch cohort. Methods In 775 participants of the Netherlands Epidemiology of Obesity (NEO) study, we assessed sedentary time, breaks in sedentary time and different intensities of physical activity using activity sensors, and liver fat content by magnetic resonance spectroscopy (n=256). Participants were categorised as being most active in the morning (06:00–12:00 hours), afternoon (12:00–18:00 hours) or evening (18:00–00:00 hours) or as engaging in moderate-to-vigorous-physical activity (MVPA) evenly distributed throughout the day. Most active in a certain time block was defined as spending the majority (%) of total daily MVPA in that block. We examined associations between sedentary time, breaks and timing of MVPA with liver fat content and HOMA-IR using linear regression analyses, adjusted for demographic and lifestyle factors including total body fat. Associations of timing of MVPA were additionally adjusted for total MVPA. Results The participants (42% men) had a mean (SD) age of 56 (4) years and a mean (SD) BMI of 26.2 (4.1) kg/m2. Total sedentary time was not associated with liver fat content or insulin resistance, whereas the amount of breaks in sedentary time was associated with higher liver fat content. Total MVPA (−5%/h [95% CI −10%/h, 0%/h]) and timing of MVPA were associated with reduced insulin resistance but not with liver fat content. Compared with participants who had an even distribution of MVPA throughout the day, insulin resistance was similar (−3% [95% CI −25%, 16%]) in those most active in morning, whereas it was reduced in participants who were most active in the afternoon (−18% [95% CI −33%, −2%]) or evening (−25% [95% CI −49%, −4%]). Conclusions/interpretation The number of daily breaks in sedentary time was not associated with lower liver fat content or reduced insulin resistance. Moderate-to-vigorous activity in the afternoon or evening was associated with a reduction of up to 25% in insulin resistance. Further studies should assess whether timing of physical activity is also important for the occurrence of type 2 diabetes. Graphical abstract
Published: 2022

45. The effect of physical activity level and exercise training on the association between plasma branched-chain amino acids and intrahepatic lipid content in participants with obesity

Author: Froukje Vanweert, Dennis O. Mook-Kanamori, Esther Phielix, Renée de Mutsert, Patrick Schrauwen, Frits R. Rosendaal, Hildo J. Lamb, Sebastiaan C. Boone, Bram Brouwers, Matthijs K. C. Hesselink, Vera B. Schrauwen-Hinderling, Nutrition and Movement Sciences, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, Promovendi NTM, MUMC+: DA BV Research (9), and MUMC+: DA BV Klinisch Fysicus (9)
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Epidemiology, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), 030209 endocrinology & metabolism, Type 2 diabetes, Article, 03 medical and health sciences, 0302 clinical medicine, Valine, Non-alcoholic Fatty Liver Disease, Internal medicine, Medicine, Humans, Obesity, Exercise, Aged, chemistry.chemical_classification, Nutrition and Dietetics, business.industry, Fatty liver, Middle Aged, medicine.disease, Lipid Metabolism, Lipids, Physical activity level, Amino acid, 030104 developmental biology, Endocrinology, Cross-Sectional Studies, chemistry, Diabetes Mellitus, Type 2, Liver, Lipid content, Isoleucine, business, Amino Acids, Branched-Chain
Abstract: Aims To evaluate whether the association between plasma branched-chain amino acids (BCAA) and intrahepatic lipid (IHL) was affected by physical activity level. Furthermore, to investigate if a conventional exercise training program, a subcategory of physical activity, could lower plasma BCAA along with alterations in IHL content in patients with type 2 diabetes (T2DM) and people with nonalcoholic fatty liver (NAFL). Methods To investigate the effect of physical activity on the association between plasma BCAA and IHL content, linear regression analyses were performed in 1983 individuals from the Netherlands Epidemiology of Obesity (NEO) stratified by physical activity frequency. Furthermore, the effect of a 12-week supervised combined aerobic resistance-exercise program on plasma BCAA, insulin sensitivity (hyperinsulinemic–euglycemic clamp), and IHL (proton-magnetic resonance spectroscopy (1H-MRS)) was investigated in seven patients with T2DM, seven individuals with NAFL and seven BMI-matched control participants (CON). Results We observed positive associations between plasma valine, isoleucine and leucine level, and IHL content (1.29 (95% CI: 1.21, 1.38), 1.52 (95% CI: 1.43, 1.61), and 1.54 (95% CI: 1.44, 1.64) times IHL, respectively, per standard deviation of plasma amino acid level). Similar associations were observed in less active versus more active individuals. Exercise training did not change plasma BCAA levels among groups, but reduced IHL content in NAFL (from 11.6 ± 3.0% pre-exercise to 8.1 ± 2.0% post exercise, p p p Conclusions The association between plasma BCAA levels and IHL is not affected by physical activity level. Exercise training reduced IHL without affecting plasma BCAA levels in individuals with NAFL and CON. We conclude that exercise training-induced reduction in IHL content is not related to changes in plasma BCAA levels. Trial registration Trial registry number: NCT01317576.
Published: 2021

46. Association of measures of body fat with serum alpha-tocopherol and its metabolites in middle-aged individuals

Author: Leon G. Martens, Nadia Ashrafi, Kevin Mills, Frits R. Rosendaal, Jiao Luo, Diana van Heemst, Fleur L. Meulmeester, Hildo J. Lamb, Renée de Mutsert, Dennis O. Mook-Kanamori, Ko Willems van Dijk, and Raymond Noordam
Subjects: Male, medicine.medical_specialty, Subcutaneous adipose tissue, Epidemiology, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Urinary system, alpha-Tocopherol, Medicine (miscellaneous), Adipose tissue, 030209 endocrinology & metabolism, Urine, Intra-Abdominal Fat, 030204 cardiovascular system & hematology, Body Mass Index, Vitamin E metabolites, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Internal medicine, medicine, Humans, Obesity, Adiposity, Netherlands, Nutrition and Dietetics, Mass spectrometry, business.industry, Vitamin E, Confounding, Age Factors, Alpha tocopherol, Middle Aged, medicine.disease, Cross-Sectional Studies, Endocrinology, chemistry, Visceral adipose tissue, Obesity, Abdominal, Female, Lipid Peroxidation, Cardiology and Cardiovascular Medicine, business, Body mass index, Biomarkers
Abstract: Background and aims: The accumulation of fat increases the formation of lipid perox-ides, which are partly scavenged by alpha-tocopherol (a-TOH). Here, we aimed to investigate the associations between different measures of (abdominal) fat and levels of urinary a-TOH metab-olites in middle-aged individuals. Methods and results: In this cross-sectional analysis in the Netherlands Epidemiology of Obesity study (N Z 511, 53% women; mean [SD] age of 55 [6.1] years), serum a-TOH and a-TOH metab-olites from 24-h urine were measured as alpha-tocopheronolactone hydroquinone (a-TLHQ, oxidized) and alpha-carboxymethyl-hydroxychroman (a-CEHC, enzymatically converted) using liquid-chromatography-tandem mass spectrometry. Body mass index and total body fat were measured, and abdominal subcutaneous and visceral adipose tissue (aSAT and VAT) were as-sessed using magnetic resonance imaging. Using multivariable-adjusted linear regression ana -lyses, we analysed the associations of BMI, TBF, aSAT and VAT with levels of urinary a-TOH metabolites, adjusted for confounders. We observed no evidence for associations between body fat measures and serum a-TOH. Higher BMI and TBF were associated with lower urinary levels of TLHQ (0.95 [95%CI: 0.90, 1.00] and 0.94 [0.88, 1.01] times per SD, respectively) and with lower TLHQ relative to CEHC (0.93 [0.90, 0.98] and 0.93 [0.87, 0.98] times per SD, respectively). We observed similar associations for VAT (TLHQ: 0.94 [0.89, 0.99] times per SD), but not for aSAT. Conclusions: Opposite to our research hypothesis, higher abdominal adiposity was moderately associated with lower levels of oxidized a-TOH metabolites, which might reflect lower vitamin E antioxidative activity in individuals with higher abdominal fat instead. (c) 2021 The Author(s). Published by Elsevier B.V. on behalf of The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Published: 2021

47. The Relation Between Adult Weight Gain, Adipocyte Volume, and the Metabolic Profile at Middle Age

Author: Costantinos Christodoulides, Inge Verkouter, Dennis O. Mook-Kanamori, Frits R. Rosendaal, Fredrik Karpe, Nellie Y. Loh, Peter L. Zock, Renée de Mutsert, Saskia le Cessie, Raymond Noordam, and Ko Willems van Dijk
Subjects: 0301 basic medicine, Male, Aging, Endocrinology, Diabetes and Metabolism, Biopsy, Clinical Biochemistry, 030204 cardiovascular system & hematology, Biochemistry, Cohort Studies, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Adipocyte, Adipocytes, Medicine, Netherlands, chemistry.chemical_classification, weight gain, Middle Aged, metabolomics, metabolic profile, Nutritional Biology, Metabolome, Female, medicine.symptom, AcademicSubjects/MED00250, Polyunsaturated fatty acid, medicine.medical_specialty, Lipoproteins, Abdominal Fat, Context (language use), body mass index, 03 medical and health sciences, Internal medicine, cohort study, Humans, Obesity, Online Only Articles, Clinical Research Articles, adipocyte volume, business.industry, Biochemistry (medical), Middle age, 030104 developmental biology, chemistry, Adipocyte hypertrophy, business, Weight gain, Body mass index, Lipoprotein
Abstract: Context Weight gain during adulthood increases cardiometabolic disease risk, possibly through adipocyte hypertrophy. Objective We aimed to study the specific metabolomic profile of adult weight gain, and to examine its association with adipocyte volume. Methods Nuclear magnetic resonance–based metabolomics were measured in the Netherlands Epidemiology of Obesity (NEO) study (n = 6347, discovery) and Oxford Biobank (n = 6317, replication). Adult weight gain was calculated as the absolute difference between body mass index (BMI) at middle age and recalled BMI at age 20 years. We performed linear regression analyses with both exposures BMI at age 20 years and weight gain, and separately with BMI at middle age in relation to 149 serum metabolomic measures, adjusted for age, sex, and multiple testing. Additionally, subcutaneous abdominal adipocyte biopsies were collected in a subset of the Oxford Biobank (n = 114) to estimate adipocyte volume. Results Mean (SD) weight gain was 4.5 (3.7) kg/m2 in the NEO study and 3.6 (3.7) kg/m2 in the Oxford Biobank. Weight gain, and not BMI at age 20 nor middle age, was associated with concentrations of 7 metabolomic measures after successful replication, which included polyunsaturated fatty acids, small to medium low-density lipoproteins, and total intermediate-density lipoprotein. One SD weight gain was associated with 386 μm3 (95% CI, 143-629) higher median adipocyte volume. Adipocyte volume was associated with lipoprotein particles specific for adult weight gain. Conclusion Adult weight gain is associated with specific metabolomic alterations of which the higher lipoprotein concentrations were likely contributed by larger adipocyte volumes, presumably linking weight gain to cardiometabolic disease.
Published: 2021

48. Body fat distribution, in particular visceral fat, is associated with cardiometabolic risk factors in obese women.

Author: Theodora W Elffers, Renée de Mutsert, Hildo J Lamb, Albert de Roos, Ko Willems van Dijk, Frits R Rosendaal, J Wouter Jukema, and Stella Trompet
Subjects: Medicine, Science
Abstract: Body fat distribution is, next to overall obesity, an important risk factor for cardiometabolic outcomes in the general population. In particular, visceral adipose tissue (VAT) is strongly associated with cardiometabolic risk factors. Since it is unclear whether body fat distribution is also important in men and women with obesity we investigated the associations between measures of body fat distribution and cardiometabolic risk factors in men and women with obesity.In this cross-sectional analysis of obese men and women (BMI≥30 kg/m2) included in the Netherlands Epidemiology of Obesity Study, waist:hip ratio(WHR), waist circumference, and MRI-based abdominal subcutaneous adipose tissue (aSAT) and VAT were determined. Associations between measures of body fat distribution and presence of ≥1 risk factor, such as hypertension or hypertriglyceridemia, were examined using logistic regression analyses; stratified by sex and adjusted for age, ethnicity, education, tobacco smoking, alcohol consumption, physical activity and depending on the association additionally for total body fat or VAT.We included 2,983 obese individuals (57% women) with a mean age of 56 and standard deviation (SD) of 6 and mean BMI of 34.0 kg/m2 (4.0), after exclusion of individuals with missing values of cardiometabolic risk factors (n = 33). 241 individuals were obese without other cardiometabolic risk factors. In obese women, all measures of body fat distribution except aSAT (OR per SD:0.76, 95%CI: 0.53, 1.10) were associated with having ≥1 cardiometabolic risk factor, of which VAT most strongly associated (5.77; 3.02, 11.01). In obese men, associations of body fat distribution and the presence of cardiometabolic risk factors were attenuated. (e.g. VAT:1.42; 0.84, 2.41).In obese women, but less so in men, measures of body fat distribution, of which VAT most strongly, are associated with cardiometabolic risk factors.
Published: 2017
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49. Poor sleep quality and later sleep timing are risk factors for osteopenia and sarcopenia in middle-aged men and women: The NEO study.

Author: Eliane A Lucassen, Renée de Mutsert, Saskia le Cessie, Natasha M Appelman-Dijkstra, Frits R Rosendaal, Diana van Heemst, Martin den Heijer, Nienke R Biermasz, and NEO study group
Subjects: Medicine, Science
Abstract: Sleep deprivation has detrimental metabolic consequences. Osteopenia and sarcopenia usually occur together and increase risk of fractures and disease. Results from studies linking sleep parameters to osteopenia or sarcopenia are scarce and inconsistent.To examine the associations of sleep parameters with osteopenia and sarcopenia, considering the influence of sex and menopause.Cross-sectional analysis of 915 participants (45-65 years, 56% women, BMI 26 (range: 18-56) kg/m2) in the Netherlands Epidemiology of Obesity (NEO) study, a population-based cohort study. Sleep duration, quality, and timing were assessed with the Pittsburgh Sleep Quality Index (PSQI); bone mineral density and relative appendicular muscle mass were measured by DXA scans. Linear and logistic regressions were performed to associate sleep parameters to bone mineral density, relative appendicular muscle mass, osteopenia (t-score between -1 and -2.5) and sarcopenia (1 SD below average muscle mass).After adjustment for confounding factors, one unit increase in PSQI score (OR and 95% CI, 1.09, 1.03-1.14), declined self-rated sleep quality (1.76, 1.03-3.01), sleep latency (1.18, 1.06-1.31), and a one hour later sleep timing (1.51, 1.08-2.11), but not sleep duration (1.05, 0.90-1.23), were associated with osteopenia. PSQI score (1.10, 1.02-1.19) was also associated with sarcopenia; OR's of sleep latency and later mid-sleep time with sarcopenia were 1.14 (0.99-1.31) and 1.54 (0.91-2.61), respectively. Associations were somewhat stronger in women and varied per menopausal status.These results suggest that decreased sleep quality and a later sleep timing are risk factors for osteopenia and sarcopenia in middle aged individuals.
Published: 2017
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50. Obesity and risk of death or dialysis in younger and older patients on specialized pre-dialysis care.

Author: Ellen K Hoogeveen, Kenneth J Rothman, Pauline W M Voskamp, Renée de Mutsert, Nynke Halbesma, Friedo W Dekker, and PREPARE-2 Study Group
Subjects: Medicine, Science
Abstract: Obesity is associated with increased mortality and accelerated decline in kidney function in the general population. Little is known about the effect of obesity in younger and older pre-dialysis patients. The aim of this study was to assess the extent to which obesity is a risk factor for death or progression to dialysis in younger and older patients on specialized pre-dialysis care.In a multicenter Dutch cohort study, 492 incident pre-dialysis patients (>18y) were included between 2004-2011 and followed until start of dialysis, death or October 2016. We grouped patients into four categories of baseline body mass index (BMI):
Published: 2017
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