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Common variants in SIRT1 and human longevity in a Chinese population

Overview of attention for article published in BMC Medical Genomics, April 2016
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Common variants in SIRT1 and human longevity in a Chinese population
Published in
BMC Medical Genomics, April 2016
DOI 10.1186/s12881-016-0293-3
Pubmed ID
Authors

Rong Lin, Dongjing Yan, Yunxia Zhang, Xiaoping Liao, Gu Gong, Junjie Hu, Yunxin Fu, Wangwei Cai

Abstract

The silent information regulator SIR2/SIRT1gene has been demonstrated as regulating lifespan in many model organisms, including yeast, worms, fruit flies and rodents. SIRT1, the human homolog of SIR2, is considered a candidate gene as a modifier of human life expectancy. In the current study we included 616 long-lived individuals and 846 matched younger controls to investigate associations between 8 common single nucleotide polymorphisms (SNPs) (i.e., rs12778366, rs3758391, rs3740051, rs33957861, rs7896005, rs12413112, rs11599176 and rs4746720) in the SIRT1 gene and human longevity. The 8 SNPs had strong linkage disequilibrium (LD) and were in an LD block, which was characterized by 4 common haplotypes that capture 99.3 % of the genetic variation present within it. We found no evidence for statistically significant associations between the tested SIRT1 SNPs and longevity at the allele, genotype or haplotype levels. Current findings show that several common variants in SIRT1 are not associated with human longevity.

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X Demographics

The data shown below were collected from the profiles of 3 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Bachelor 4 18%
Lecturer 2 9%
Student > Postgraduate 2 9%
Researcher 2 9%
Other 3 14%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Agricultural and Biological Sciences 5 23%
Biochemistry, Genetics and Molecular Biology 5 23%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2016.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,102
of 2,444 outputs
Outputs of similar age
#171,986
of 313,519 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% 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 313,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 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 58% of its contemporaries.