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Host genetic variation impacts microbiome composition across human body sites

Overview of attention for article published in Genome Biology, September 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
152 X users
patent
1 patent
facebook
4 Facebook pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
592 Dimensions

Readers on

mendeley
966 Mendeley
citeulike
5 CiteULike
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Title
Host genetic variation impacts microbiome composition across human body sites
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0759-1
Pubmed ID
Authors

Ran Blekhman, Julia K. Goodrich, Katherine Huang, Qi Sun, Robert Bukowski, Jordana T. Bell, Timothy D. Spector, Alon Keinan, Ruth E. Ley, Dirk Gevers, Andrew G. Clark

Abstract

The composition of bacteria in and on the human body varies widely across human individuals, and has been associated with multiple health conditions. While microbial communities are influenced by environmental factors, some degree of genetic influence of the host on the microbiome is also expected. This study is part of an expanding effort to comprehensively profile the interactions between human genetic variation and the composition of this microbial ecosystem on a genome- and microbiome-wide scale. Here, we jointly analyze the composition of the human microbiome and host genetic variation. By mining the shotgun metagenomic data from the Human Microbiome Project for host DNA reads, we gathered information on host genetic variation for 93 individuals for whom bacterial abundance data are also available. Using this dataset, we identify significant associations between host genetic variation and microbiome composition in 10 of the 15 body sites tested. These associations are driven by host genetic variation in immunity-related pathways, and are especially enriched in host genes that have been previously associated with microbiome-related complex diseases, such as inflammatory bowel disease and obesity-related disorders. Lastly, we show that host genomic regions associated with the microbiome have high levels of genetic differentiation among human populations, possibly indicating host genomic adaptation to environment-specific microbiomes. Our results highlight the role of host genetic variation in shaping the composition of the human microbiome, and provide a starting point toward understanding the complex interaction between human genetics and the microbiome in the context of human evolution and disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 152 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 966 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
Canada 4 <1%
France 2 <1%
Finland 2 <1%
Germany 2 <1%
India 2 <1%
Japan 2 <1%
New Zealand 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 938 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 220 23%
Researcher 172 18%
Student > Master 103 11%
Student > Bachelor 103 11%
Student > Doctoral Student 50 5%
Other 141 15%
Unknown 177 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 316 33%
Biochemistry, Genetics and Molecular Biology 183 19%
Medicine and Dentistry 67 7%
Immunology and Microbiology 59 6%
Computer Science 20 2%
Other 112 12%
Unknown 209 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 10 January 2024.
All research outputs
#390,762
of 26,017,215 outputs
Outputs from Genome Biology
#192
of 4,513 outputs
Outputs of similar age
#5,039
of 284,819 outputs
Outputs of similar age from Genome Biology
#7
of 82 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done particularly well, scoring higher than 95% 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 284,819 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 97% of its contemporaries.
We're also able to compare this research output to 82 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 91% of its contemporaries.