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Current status on genome–metabolome-wide associations: an opportunity in nutrition research

Overview of attention for article published in Genes & Nutrition, October 2012
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
twitter
1 X user

Citations

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28 Dimensions

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73 Mendeley
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1 CiteULike
Title
Current status on genome–metabolome-wide associations: an opportunity in nutrition research
Published in
Genes & Nutrition, October 2012
DOI 10.1007/s12263-012-0313-7
Pubmed ID
Authors

Ivan Montoliu, Ulrich Genick, Mirko Ledda, Sebastiano Collino, François-Pierre Martin, Johannes le Coutre, Serge Rezzi

Abstract

Genome-wide association studies (GWASs) have become a very important tool to address the genetic origin of phenotypic variability, in particular associated with diseases. Nevertheless, these types of studies provide limited information about disease etiology and the molecular mechanisms involved. Recently, the incorporation of metabolomics into the analysis has offered novel opportunities for a better understanding of disease-related metabolic deregulation. The pattern emerging from this work is that gene-driven changes in metabolism are prevalent and that common genetic variations can have a profound impact on the homeostatic concentrations of specific metabolites. A particularly interesting aspect of this work takes into account interactions of environment and lifestyle with the genome and how this interaction translates into changes in the metabolome. For instance, the role of PYROXD2 in trimethylamine metabolism points to an interaction between host and microbiome genomes (host/microbiota). Often, these findings reveal metabolic deregulations, which could eventually be tuned with a nutritional intervention. Here we review the development of gene-metabolism association studies from a single-gene/single-metabolite to a genome-wide/metabolome-wide approach and highlight the conceptual changes associated with this ongoing transition. Moreover, we report some of our recent GWAS results on a cohort of 265 individuals from an ethnically diverse population that validate and refine previous findings on gene-urine metabolism interactions. Specifically, our results confirm the effect of PYROXD2 polymorphisms on trimethylamine metabolism and suggest that a previously reported association of N-acetylated compounds with the ALMS1/NAT8 locus is driven by SNPs in the ALMS1 gene.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Japan 1 1%
Qatar 1 1%
Canada 1 1%
Unknown 69 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Ph. D. Student 12 16%
Student > Master 9 12%
Student > Bachelor 8 11%
Professor 7 10%
Other 9 12%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 34%
Biochemistry, Genetics and Molecular Biology 13 18%
Medicine and Dentistry 9 12%
Chemistry 5 7%
Engineering 2 3%
Other 6 8%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 January 2018.
All research outputs
#4,046,266
of 22,681,577 outputs
Outputs from Genes & Nutrition
#87
of 387 outputs
Outputs of similar age
#29,998
of 174,267 outputs
Outputs of similar age from Genes & Nutrition
#3
of 6 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 77% 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 174,267 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 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.