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Gene Age Predicts the Strength of Purifying Selection Acting on Gene Expression Variation in Humans

Overview of attention for article published in American Journal of Human Genetics, December 2014
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Gene Age Predicts the Strength of Purifying Selection Acting on Gene Expression Variation in Humans
Published in
American Journal of Human Genetics, December 2014
DOI 10.1016/j.ajhg.2014.11.003
Pubmed ID
Authors

Konstantin Y. Popadin, Maria Gutierrez-Arcelus, Tuuli Lappalainen, Alfonso Buil, Julia Steinberg, Sergey I. Nikolaev, Samuel W. Lukowski, Georgii A. Bazykin, Vladimir B. Seplyarskiy, Panagiotis Ioannidis, Evgeny M. Zdobnov, Emmanouil T. Dermitzakis, Stylianos E. Antonarakis

Abstract

Gene expression levels can be subject to selection. We hypothesized that the age of gene origin is associated with expression constraints, given that it affects the level of gene integration into the functional cellular environment. By studying the genetic variation affecting gene expression levels (cis expression quantitative trait loci [cis-eQTLs]) and protein levels (cis protein QTLs [cis-pQTLs]), we determined that young, primate-specific genes are enriched in cis-eQTLs and cis-pQTLs. Compared to cis-eQTLs of old genes originating before the zebrafish divergence, cis-eQTLs of young genes have a higher effect size, are located closer to the transcription start site, are more significant, and tend to influence genes in multiple tissues and populations. These results suggest that the expression constraint of each gene increases throughout its lifespan. We also detected a positive correlation between expression constraints (approximated by cis-eQTL properties) and coding constraints (approximated by Ka/Ks) and observed that this correlation might be driven by gene age. To uncover factors associated with the increase in gene-age-related expression constraints, we demonstrated that gene connectivity, gene involvement in complex regulatory networks, gene haploinsufficiency, and the strength of posttranscriptional regulation increase with gene age. We also observed an increase in heritability of gene expression levels with age, implying a reduction of the environmental component. In summary, we show that gene age shapes key gene properties during evolution and is therefore an important component of genome function.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Spain 2 2%
Italy 2 2%
Switzerland 1 <1%
Netherlands 1 <1%
Norway 1 <1%
Russia 1 <1%
Unknown 97 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 34%
Researcher 25 23%
Student > Master 13 12%
Professor > Associate Professor 6 6%
Student > Bachelor 5 5%
Other 12 11%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 52%
Biochemistry, Genetics and Molecular Biology 28 26%
Medicine and Dentistry 3 3%
Computer Science 2 2%
Psychology 2 2%
Other 3 3%
Unknown 14 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 06 April 2019.
All research outputs
#2,639,322
of 25,374,647 outputs
Outputs from American Journal of Human Genetics
#1,410
of 5,879 outputs
Outputs of similar age
#35,449
of 369,133 outputs
Outputs of similar age from American Journal of Human Genetics
#13
of 38 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 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 75% 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 369,133 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 90% of its contemporaries.
We're also able to compare this research output to 38 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 65% of its contemporaries.