Comprehensive evaluation of smoking exposures and their interactions on DNA methylationResearch in context

Autor: Thanh T. Hoang, Yunsung Lee, Daniel L. McCartney, Elin T.G. Kersten, Christian M. Page, Paige M. Hulls, Mikyeong Lee, Rosie M. Walker, Charles E. Breeze, Brian D. Bennett, Adam B. Burkholder, James Ward, Anne Lise Brantsæter, Ida H. Caspersen, Alison A. Motsinger-Reif, Marie Richards, Julie D. White, Shanshan Zhao, Rebecca C. Richmond, Maria C. Magnus, Gerard H. Koppelman, Kathryn L. Evans, Riccardo E. Marioni, Siri E. Håberg, Stephanie J. London, Bastiaan Heijmans, Peter ’t Hoen, Joyce van Meurs, Rick Jansen, Lude Franke, Dorret Boomsma, René Pool, Jenny van Dongen, Jouke Hottenga, Marleen van Greevenbroek, Coen Stehouwer, Carla van der Kallen, Casper Schalkwijk, Cisca Wijmenga, Sasha Zhernakova, Ettje Tigchelaar, P. Eline Slagboom, Marian Beekman, Joris Deelen, Diana Van Heemst, Jan Veldink, Leonard van den Berg, Cornelia van Duijn, Bert Hofman, Aaron Isaacs, André Uitterlinden, P. Mila Jhamai, Michael Verbiest, H. Eka Suchiman, Marijn Verkerk, Ruud van der Breggen, Jeroen van Rooij, Nico Lakenberg, Hailiang Mei, Maarten van Iterson, Michiel van Galen, Jan Bot, Dasha Zhernakova, Peter van ‘t Hof, Patrick Deelen, Irene Nooren, Matthijs Moed, Martijn Vermaat, René Luijk, Marc Bonder, Freerk van Dijk, Wibowo Arindrarto, Szymon Kielbasa, Morris Swertz, Erik van Zwet

Publikováno v: EBioMedicine, Vol 100, Iss , Pp 104956- (2024)

Summary: Background: Smoking impacts DNA methylation, but data are lacking on smoking-related differential methylation by sex or dietary intake, recent smoking cessation (

Externí odkaz: https://doaj.org/article/3985b627485b4ff999b2ec073dfaf4e4

A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids

Autor: Mina-A Jhun, Michael Mendelson, Rory Wilson, Rahul Gondalia, Roby Joehanes, Elias Salfati, Xiaoping Zhao, Kim Valeska Emilie Braun, Anh Nguyet Do, Åsa K. Hedman, Tao Zhang, Elena Carnero-Montoro, Jincheng Shen, Traci M. Bartz, Jennifer A. Brody, May E. Montasser, Jeff R. O’Connell, Chen Yao, Rui Xia, Eric Boerwinkle, Megan Grove, Weihua Guan, Pfeiffer Liliane, Paula Singmann, Martina Müller-Nurasyid, Thomas Meitinger, Christian Gieger, Annette Peters, Wei Zhao, Erin B. Ware, Jennifer A. Smith, Klodian Dhana, Joyce van Meurs, Andre Uitterlinden, Mohammad Arfan Ikram, Mohsen Ghanbari, Deugi Zhi, Stefan Gustafsson, Lars Lind, Shengxu Li, Dianjianyi Sun, Tim D. Spector, Yii-der Ida Chen, Coleen Damcott, Alan R. Shuldiner, Devin M. Absher, Steve Horvath, Philip S. Tsao, Sharon Kardia, Bruce M. Psaty, Nona Sotoodehnia, Jordana T. Bell, Erik Ingelsson, Wei Chen, Abbas Dehghan, Donna K. Arnett, Melanie Waldenberger, Lifang Hou, Eric A. Whitsel, Andrea Baccarelli, Daniel Levy, Myriam Fornage, Marguerite R. Irvin, Themistocles L. Assimes

Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)

Abnormal blood lipid levels are important risk factors for cardiovascular and other various diseases. Here the authors conduct a large-scale multi-ethnic epigenome-wide association study combined with epigenetic (cis-QTL and eQTM) data, and identify

Externí odkaz: https://doaj.org/article/5a34ff34ea7042f0b1ef2141f1a26dde

Genetic Determinants of Serum Calcification Propensity and Cardiovascular Outcomes in the General Population

Autor: Amber de Haan, Fariba Ahmadizar, Peter J. van der Most, Chris H. L. Thio, Zoha Kamali, Alireza Ani, Mohsen Ghanbari, Layal Chaker, Joyce van Meurs, M. Kamran Ikram, Harry van Goor, Stephan J. L. Bakker, Pim van der Harst, Harold Snieder, Maryam Kavousi, Andreas Pasch, Mark Eijgelsheim, Martin H. de Borst

Publikováno v: Frontiers in Cardiovascular Medicine, Vol 8 (2022)

Background:Serum calciprotein particle maturation time (T50), a measure of vascular calcification propensity, is associated with cardiovascular morbidity and mortality. We aimed to identify genetic loci associated with serum T50 and study their assoc

Externí odkaz: https://doaj.org/article/48988c58c0864600b7eea9dddfd79484

GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures

Autor: Unnur Styrkarsdottir, Olafur A. Stefansson, Kristbjorg Gunnarsdottir, Gudmar Thorleifsson, Sigrun H. Lund, Lilja Stefansdottir, Kristinn Juliusson, Arna B. Agustsdottir, Florian Zink, Gisli H. Halldorsson, Erna V. Ivarsdottir, Stefania Benonisdottir, Hakon Jonsson, Arnaldur Gylfason, Kristjan Norland, Katerina Trajanoska, Cindy G. Boer, Lorraine Southam, Jason C. S. Leung, Nelson L. S. Tang, Timothy C. Y. Kwok, Jenny S. W. Lee, Suzanne C. Ho, Inger Byrjalsen, Jacqueline R. Center, Seung Hun Lee, Jung-Min Koh, L. Stefan Lohmander, Lan T. Ho-Pham, Tuan V. Nguyen, John A. Eisman, Jean Woo, Ping-C. Leung, John Loughlin, Eleftheria Zeggini, Claus Christiansen, Fernando Rivadeneira, Joyce van Meurs, Andre G. Uitterlinden, Brynjolfur Mogensen, Helgi Jonsson, Thorvaldur Ingvarsson, Gunnar Sigurdsson, Rafn Benediktsson, Patrick Sulem, Ingileif Jonsdottir, Gisli Masson, Hilma Holm, Gudmundur L. Norddahl, Unnur Thorsteinsdottir, Daniel F. Gudbjartsson, Kari Stefansson

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)

Size and shape of bones are important for height and body shape. Here, Styrkarsdottir et al identify 12 loci in a GWAS for bone area derived from DXA scans and show that these loci associate with other bone-related phenotypes including osteoarthritis

Externí odkaz: https://doaj.org/article/80e678269bfd4ce6a62646dd799db50a

Genome-wide identification of directed gene networks using large-scale population genomics data

Autor: René Luijk, Koen F. Dekkers, Maarten van Iterson, Wibowo Arindrarto, Annique Claringbould, Paul Hop, Dorret I. Boomsma, Cornelia M. van Duijn, Marleen M. J. van Greevenbroek, Jan H. Veldink, Cisca Wijmenga, Lude Franke, Peter A. C. ’t Hoen, Rick Jansen, Joyce van Meurs, Hailiang Mei, P. Eline Slagboom, Bastiaan T. Heijmans, Erik W. van Zwet, BIOS (Biobank-based Integrative Omics Study) Consortium

Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)

Identification of causal drivers behind expression is essential for understanding gene function. Here authors develop a method for the large-scale inference of gene–gene interactions in observational population genomics data and characterize a netw

Externí odkaz: https://doaj.org/article/fe4640ea326848b3a9330f5cfa121bef