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Confounding effects of microbiome on the susceptibility of TNFSF15 to Crohn’s disease in the Ryukyu Islands

Overview of attention for article published in Human Genetics, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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1 blog
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Citations

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36 Mendeley
Title
Confounding effects of microbiome on the susceptibility of TNFSF15 to Crohn’s disease in the Ryukyu Islands
Published in
Human Genetics, February 2017
DOI 10.1007/s00439-017-1764-0
Pubmed ID
Authors

Shigeki Nakagome, Hiroshi Chinen, Atsushi Iraha, Akira Hokama, Yasuaki Takeyama, Shotaro Sakisaka, Toshiyuki Matsui, Judith R. Kidd, Kenneth K. Kidd, Heba S. Said, Wataru Suda, Hidetoshi Morita, Masahira Hattori, Tsunehiko Hanihara, Ryosuke Kimura, Hajime Ishida, Jiro Fujita, Fukunori Kinjo, Shuhei Mano, Hiroki Oota

Abstract

Crohn's disease (CD) involves chronic inflammation in the gastrointestinal tract due to dysregulation of the host immune response to the gut microbiome. Even though the host-microbiome interactions are likely contributors to the development of CD, a few studies have detected genetic variants that change bacterial compositions and increase CD risk. We focus on one of the well-replicated susceptible genes, tumor necrosis factor superfamily member 15 (TNFSF15), and apply statistical analyses for personal profiles of genotypes and salivary microbiota collected from CD cases and controls in the Ryukyu Islands, southernmost islands of the Japanese archipelago. Our association test confirmed the susceptibility of TNFSF15 in the Ryukyu Islands. We found that the recessive model was supported to fit the observed genotype frequency of risk alleles slightly better than the additive model, defining the genetic effect on CD if a pair of the chromosomes in an individual consists of all risk alleles. The combined analysis of haplotypes and salivary microbiome from a small set of samples showed a significant association of the genetic effect with the increase of Prevotella, which led to a significant increase of CD risk. However, the genetic effect on CD disappeared if the abundance of Prevotella was low, suggesting the genetic contribution to CD is conditionally independent given a fixed amount of Prevotella. Although our statistical power is limited due to the small sample size, these results support an idea that the genetic susceptibility of TNFSF15 to CD may be confounded, in part, by the increase of Prevotella.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Other 2 6%
Professor 2 6%
Other 5 14%
Unknown 10 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 22%
Medicine and Dentistry 7 19%
Agricultural and Biological Sciences 5 14%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 June 2017.
All research outputs
#3,118,017
of 22,953,506 outputs
Outputs from Human Genetics
#279
of 2,957 outputs
Outputs of similar age
#69,304
of 428,391 outputs
Outputs of similar age from Human Genetics
#7
of 18 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 90% 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 428,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 18 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 61% of its contemporaries.