Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity

Simone Wahl, Alexander Drong, Benjamin Lehne, Marie Loh, William R. Scott, Sonja Kunze, Pei-Chien Tsai, Janina S. Ried, Weihua Zhang, Youwen Yang, Sili Tan, Giovanni Fiorito, Lude Franke, Simonetta Guarrera, Silva Kasela, Jennifer Kriebel, Rebecca C. Richmond, Marco Adamo, Uzma Afzal, Mika Ala‐Korpela, Benedetta Albetti, Ole Ammerpohl, Jane F. Apperley, Marian Beekman, Pier Alberto Bertazzi, S. Lucas Black, Christine Blancher, Marc Jan Bonder, Mario Brosch, Maren Carstensen‐Kirberg, Anton J. M. de Craen, Simon de Lusignan, Abbas Dehghan, Mohamed Elkalaawy, Krista Fischer, Oscar H. Franco, Tom R. Gaunt, Jochen Hampe, Majid Hashemi, Aaron Isaacs, Andrew Jenkinson, Sujeet Jha, Norihiro Kato, Vittorio Krogh, Michael Laffan, Christa Meisinger, Thomas Meitinger, Zuan Yu Mok, Valeria Motta, Hong Kiat Ng, Zacharoula Nikolakopoulou, Georgios Nteliopoulos, Salvatore Panico, Natalia Pervjakova, Holger Prokisch, Wolfgang Rathmann, Michael Roden, Federica Rota, Michelle Ann Rozario, Johanna K. Sandling, Clemens Schafmayer, Katharina Schramm, Reiner Siebert, P. Eline Slagboom, Pasi Soininen, Lisette Stolk, Konstantin Strauch, E Shyong Tai, Letizia Tarantini, Barbara Thorand, Ettje F. Tigchelaar, ­Rosario ­Tumino, André G. Uitterlinden, Cornelia M. van Duijn, Joyce B. J. van Meurs, Paolo Vineis, Ananda R. Wickremasinghe, Cisca Wijmenga, Tsun-Po Yang, Wei Yuan, Alexandra Zhernakova, Rachel L. Batterham, George Davey Smith, Panos Deloukas, Bastiaan T. Heijmans, Christian Herder, Albert Hofman, Cecilia M. Lindgren, Lili Milani, Pim van der Harst, Annette Peters, Thomas Illig, Caroline L. Relton, Mélanie Waldenberger, Marjo‐Riitta Järvelin, Valentina Bollati, Richie Soong, Tim D. Spector, James Scott, Mark I. McCarthy

Nature · 2016

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Summary

This large-scale epigenome-wide association study, published in Nature in 2016, identified DNA methylation sites associated with body mass index across multiple international cohorts. The research examined whether these epigenetic markers could predict adverse health outcomes linked to adiposity, contributing to understanding of the molecular mechanisms underlying obesity and metabolic disease. The multi-cohort design and focus on epigenetic pathways as potential biomarkers may inform future stratification and prediction of obesity-related disease risk.

UK applicability

The findings identify epigenetic signatures potentially applicable to UK population health monitoring and obesity risk stratification, though the study was international and findings would require validation in UK-specific cohorts. The work may support development of methylation-based biomarkers for NHS-led obesity prevention and personalised health interventions.

Key measures

DNA methylation sites (CpG positions) associated with BMI; correlation with adiposity-related health outcomes; cross-cohort validation of epigenetic associations

Outcomes reported

The study identified DNA methylation sites associated with body mass index across multiple international cohorts and examined whether these epigenetic markers predict adverse health outcomes linked to adiposity. The research explored molecular mechanisms underlying obesity and metabolic disease risk through epigenetic biomarkers.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Research
Study design
Epigenome-wide association study (EWAS) with multi-cohort meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/nature20784
Catalogue ID
BFmowc2by2-m1f8vq

Topic tags

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