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

Overview of attention for article published in Nature, December 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

26 news outlets
4 blogs
773 tweeters
8 Facebook pages
2 Wikipedia pages
1 Google+ user


317 Dimensions

Readers on

613 Mendeley
6 CiteULike
Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity
Published in
Nature, December 2016
DOI 10.1038/nature20784
Pubmed ID

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, Andre G. Uitterlinden, Cornelia van Duijn, Joyce B. J. van Meurs, Paolo Vineis, Ananda Rajitha 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, Melanie Waldenberger, Marjo-Riitta Järvelin, Valentina Bollati, Richie Soong, Tim D. Spector, James Scott, Mark I. McCarthy, Paul Elliott, Jordana T. Bell, Giuseppe Matullo, Christian Gieger, Jaspal S. Kooner, Harald Grallert, John C. Chambers


Approximately 1.5 billion people worldwide are overweight or affected by obesity, and are at risk of developing type 2 diabetes, cardiovascular disease and related metabolic and inflammatory disturbances. Although the mechanisms linking adiposity to associated clinical conditions are poorly understood, recent studies suggest that adiposity may influence DNA methylation, a key regulator of gene expression and molecular phenotype. Here we use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci with P < 1 × 10(-7), range P = 9.2 × 10(-8) to 6.0 × 10(-46); n = 10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find that methylation loci are enriched for functional genomic features in multiple tissues (P < 0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (P < 9.0 × 10(-6), range P = 5.5 × 10(-6) to 6.1 × 10(-35), n = 1,785 samples). The methylation loci identify genes involved in lipid and lipoprotein metabolism, substrate transport and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future development of type 2 diabetes (relative risk per 1 standard deviation increase in methylation risk score: 2.3 (2.07-2.56); P = 1.1 × 10(-54)). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type 2 diabetes and other adverse clinical consequences of obesity.

Twitter Demographics

The data shown below were collected from the profiles of 773 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 613 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Switzerland 2 <1%
Korea, Republic of 2 <1%
Italy 1 <1%
Indonesia 1 <1%
France 1 <1%
Sweden 1 <1%
Germany 1 <1%
Estonia 1 <1%
Other 2 <1%
Unknown 598 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 148 24%
Student > Ph. D. Student 140 23%
Student > Master 61 10%
Student > Bachelor 46 8%
Professor 39 6%
Other 123 20%
Unknown 56 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 171 28%
Agricultural and Biological Sciences 141 23%
Medicine and Dentistry 112 18%
Computer Science 15 2%
Psychology 12 2%
Other 72 12%
Unknown 90 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 611. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 November 2019.
All research outputs
of 14,566,333 outputs
Outputs from Nature
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Outputs of similar age
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Outputs of similar age from Nature
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Altmetric has tracked 14,566,333 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 72,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 80.9. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 376,729 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 871 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.