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Host genetic variation and its microbiome interactions within the Human Microbiome Project

Overview of attention for article published in Genome Medicine, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
41 X users
facebook
1 Facebook page

Citations

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132 Dimensions

Readers on

mendeley
301 Mendeley
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2 CiteULike
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Title
Host genetic variation and its microbiome interactions within the Human Microbiome Project
Published in
Genome Medicine, January 2018
DOI 10.1186/s13073-018-0515-8
Pubmed ID
Authors

Raivo Kolde, Eric A. Franzosa, Gholamali Rahnavard, Andrew Brantley Hall, Hera Vlamakis, Christine Stevens, Mark J. Daly, Ramnik J. Xavier, Curtis Huttenhower

Abstract

Despite the increasing recognition that microbial communities within the human body are linked to health, we have an incomplete understanding of the environmental and molecular interactions that shape the composition of these communities. Although host genetic factors play a role in these interactions, these factors have remained relatively unexplored given the requirement for large population-based cohorts in which both genotyping and microbiome characterization have been performed. We performed whole-genome sequencing of 298 donors from the Human Microbiome Project (HMP) healthy cohort study to accompany existing deep characterization of their microbiomes at various body sites. This analysis yielded an average sequencing depth of 32x, with which we identified 27 million (M) single nucleotide variants and 2.3 M insertions-deletions. Taxonomic composition and functional potential of the microbiome covaried significantly with genetic principal components in the gastrointestinal tract and oral communities, but not in the nares or vaginal microbiota. Example associations included validation of known associations between FUT2 secretor status, as well as a variant conferring hypolactasia near the LCT gene, with Bifidobacterium longum abundance in stool. The associations of microbial features with both high-level genetic attributes and single variants were specific to particular body sites, highlighting the opportunity to find unique genetic mechanisms controlling microbiome properties in the microbial communities from multiple body sites. This study adds deep sequencing of host genomes to the body-wide microbiome sequences already extant from the HMP healthy cohort, creating a unique, versatile, and well-controlled reference for future studies seeking to identify host genetic modulators of the microbiome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 301 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 18%
Student > Ph. D. Student 53 18%
Student > Bachelor 36 12%
Student > Master 25 8%
Other 14 5%
Other 44 15%
Unknown 75 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 66 22%
Agricultural and Biological Sciences 56 19%
Immunology and Microbiology 25 8%
Medicine and Dentistry 24 8%
Neuroscience 7 2%
Other 45 15%
Unknown 78 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 13 September 2020.
All research outputs
#1,374,517
of 25,711,518 outputs
Outputs from Genome Medicine
#283
of 1,608 outputs
Outputs of similar age
#31,798
of 452,734 outputs
Outputs of similar age from Genome Medicine
#7
of 26 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 82% 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 452,734 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 92% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.