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Puzzling role of genetic risk factors in human longevity: “risk alleles” as pro-longevity variants

Overview of attention for article published in Biogerontology, August 2015
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  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
Puzzling role of genetic risk factors in human longevity: “risk alleles” as pro-longevity variants
Published in
Biogerontology, August 2015
DOI 10.1007/s10522-015-9600-1
Pubmed ID
Authors

Svetlana Ukraintseva, Anatoliy Yashin, Konstantin Arbeev, Alexander Kulminski, Igor Akushevich, Deqing Wu, Gaurang Joshi, Kenneth C. Land, Eric Stallard

Abstract

Complex diseases are major contributors to human mortality in old age. Paradoxically, many genetic variants that have been associated with increased risks of such diseases are found in genomes of long-lived people, and do not seem to compromise longevity. Here we argue that trade-off-like and conditional effects of genes can play central role in this phenomenon and in determining longevity. Such effects may occur as result of: (i) antagonistic influence of gene on the development of different health disorders; (ii) change in the effect of gene on vulnerability to death with age (especially, from "bad" to "good"); (iii) gene-gene interaction; and (iv) gene-environment interaction, among other factors. A review of current knowledge provides many examples of genetic factors that may increase the risk of one disease but reduce chances of developing another serious health condition, or improve survival from it. Factors that may increase risk of a major disease but attenuate manifestation of physical senescence are also discussed. Overall, available evidence suggests that the influence of a genetic variant on longevity may be negative, neutral or positive, depending on a delicate balance of the detrimental and beneficial effects of such variant on multiple health and aging related traits. This balance may change with age, internal and external environments, and depend on genetic surrounding. We conclude that trade-off-like and conditional genetic effects are very common and may result in situations when a disease "risk allele" can also be a pro-longevity variant, depending on context. We emphasize importance of considering such effects in both aging research and disease prevention.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Brazil 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 14 20%
Student > Master 8 11%
Student > Doctoral Student 5 7%
Other 5 7%
Other 12 17%
Unknown 10 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 20%
Agricultural and Biological Sciences 13 18%
Medicine and Dentistry 11 15%
Psychology 4 6%
Neuroscience 2 3%
Other 13 18%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2018.
All research outputs
#7,467,888
of 22,829,683 outputs
Outputs from Biogerontology
#279
of 651 outputs
Outputs of similar age
#90,248
of 267,560 outputs
Outputs of similar age from Biogerontology
#5
of 18 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 651 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 267,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% 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 66% of its contemporaries.