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Exploring the relationship between lifestyles, diets and genetic adaptations in humans

Overview of attention for article published in BMC Genomic Data, May 2015
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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13 X users
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1 Wikipedia page

Readers on

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76 Mendeley
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2 CiteULike
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Title
Exploring the relationship between lifestyles, diets and genetic adaptations in humans
Published in
BMC Genomic Data, May 2015
DOI 10.1186/s12863-015-0212-1
Pubmed ID
Authors

Cristina Valente, Luis Alvarez, Sarah J. Marks, Ana M. Lopez-Parra, Walther Parson, Ockie Oosthuizen, Erica Oosthuizen, António Amorim, Cristian Capelli, Eduardo Arroyo-Pardo, Leonor Gusmão, Maria J. Prata

Abstract

One of the most important dietary shifts underwent by human populations began to occur in the Neolithic, during which new modes of subsistence emerged and new nutrients were introduced in diets. This change might have worked as a selective pressure over the metabolic pathways involved in the breakdown of substances extracted from food. Here we applied a candidate gene approach to investigate whether in populations with different modes of subsistence, diet-related genetic adaptations could be identified in the genes AGXT, PLRP2, MTRR, NAT2 and CYP3A5. At CYP3A5, strong signatures of positive selection were detected, though not connected to any dietary variable, but instead to an environmental factor associated with the Tropic of Cancer. Suggestive signals of adaptions that could indeed be connected with differences in dietary habits of populations were only found for PLRP2 and NAT2. Contrarily, the demographic history of human populations seemed enough to explain patterns of diversity at AGXT and MTRR, once both conformed the evolutionary expectations under selective neutrality. Accumulated evidence indicates that CYP3A5 has been under adaptive evolution during the history of human populations. PLRP2 and NAT2 also appear to have been modelled by some selective constrains, although clear support for that did not resist to a genome wide perspective. It is still necessary to clarify which were the biological mechanisms and the environmental factors involved as well as their interactions, to understand the nature and strength of the selective pressures that contributed to shape current patterns of genetic diversity at those loci.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
United States 1 1%
Germany 1 1%
Canada 1 1%
Unknown 72 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 13 17%
Student > Master 9 12%
Student > Bachelor 9 12%
Professor > Associate Professor 5 7%
Other 13 17%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 30%
Biochemistry, Genetics and Molecular Biology 21 28%
Medicine and Dentistry 6 8%
Social Sciences 3 4%
Computer Science 2 3%
Other 10 13%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 June 2016.
All research outputs
#3,267,401
of 25,374,647 outputs
Outputs from BMC Genomic Data
#95
of 1,204 outputs
Outputs of similar age
#40,324
of 280,046 outputs
Outputs of similar age from BMC Genomic Data
#4
of 39 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 92% 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 280,046 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 85% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.