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Heritable components of the human fecal microbiome are associated with visceral fat

Overview of attention for article published in Genome Biology (Online Edition), September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 4,139)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
68 news outlets
blogs
7 blogs
twitter
100 tweeters
peer_reviews
1 peer review site
facebook
9 Facebook pages
googleplus
1 Google+ user
video
2 video uploaders

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
278 Mendeley
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Title
Heritable components of the human fecal microbiome are associated with visceral fat
Published in
Genome Biology (Online Edition), September 2016
DOI 10.1186/s13059-016-1052-7
Pubmed ID
Authors

Michelle Beaumont, Julia K. Goodrich, Matthew A. Jackson, Idil Yet, Emily R. Davenport, Sara Vieira-Silva, Justine Debelius, Tess Pallister, Massimo Mangino, Jeroen Raes, Rob Knight, Andrew G. Clark, Ruth E. Ley, Tim D. Spector, Jordana T. Bell

Abstract

Variation in the human fecal microbiota has previously been associated with body mass index (BMI). Although obesity is a global health burden, the accumulation of abdominal visceral fat is the specific cardio-metabolic disease risk factor. Here, we explore links between the fecal microbiota and abdominal adiposity using body composition as measured by dual-energy X-ray absorptiometry in a large sample of twins from the TwinsUK cohort, comparing fecal 16S rRNA diversity profiles with six adiposity measures. We profile six adiposity measures in 3666 twins and estimate their heritability, finding novel evidence for strong genetic effects underlying visceral fat and android/gynoid ratio. We confirm the association of lower diversity of the fecal microbiome with obesity and adiposity measures, and then compare the association between fecal microbial composition and the adiposity phenotypes in a discovery subsample of twins. We identify associations between the relative abundances of fecal microbial operational taxonomic units (OTUs) and abdominal adiposity measures. Most of these results involve visceral fat associations, with the strongest associations between visceral fat and Oscillospira members. Using BMI as a surrogate phenotype, we pursue replication in independent samples from three population-based cohorts including American Gut, Flemish Gut Flora Project and the extended TwinsUK cohort. Meta-analyses across the replication samples indicate that 8 OTUs replicate at a stringent threshold across all cohorts, while 49 OTUs achieve nominal significance in at least one replication sample. Heritability analysis of the adiposity-associated microbial OTUs prompted us to assess host genetic-microbe interactions at obesity-associated human candidate loci. We observe significant associations of adiposity-OTU abundances with host genetic variants in the FHIT, TDRG1 and ELAVL4 genes, suggesting a potential role for host genes to mediate the link between the fecal microbiome and obesity. Our results provide novel insights into the role of the fecal microbiota in cardio-metabolic disease with clear potential for prevention and novel therapies.

Twitter Demographics

The data shown below were collected from the profiles of 100 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 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Canada 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Mexico 1 <1%
Unknown 272 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 24%
Student > Ph. D. Student 59 21%
Student > Master 33 12%
Student > Bachelor 25 9%
Student > Doctoral Student 15 5%
Other 35 13%
Unknown 45 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 28%
Biochemistry, Genetics and Molecular Biology 46 17%
Medicine and Dentistry 25 9%
Immunology and Microbiology 24 9%
Nursing and Health Professions 8 3%
Other 39 14%
Unknown 59 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 658. 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 06 September 2022.
All research outputs
#26,899
of 23,002,898 outputs
Outputs from Genome Biology (Online Edition)
#8
of 4,139 outputs
Outputs of similar age
#590
of 323,276 outputs
Outputs of similar age from Genome Biology (Online Edition)
#3
of 54 outputs
Altmetric has tracked 23,002,898 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 4,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 99% 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 323,276 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 54 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 96% of its contemporaries.