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Mendeley readers
Attention Score in Context
| Title |
Genetic Variation in Healthy Oldest-Old
|
|---|---|
| Published in |
PLOS ONE, August 2009
|
| DOI | 10.1371/journal.pone.0006641 |
| Pubmed ID | |
| Authors |
Julius Halaschek-Wiener, Mahsa Amirabbasi-Beik, Nasim Monfared, Markus Pieczyk, Christian Sailer, Anita Kollar, Ruth Thomas, Georgios Agalaridis, So Yamada, Lisa Oliveira, Jennifer A. Collins, Graydon Meneilly, Marco A. Marra, Kenneth M. Madden, Nhu D. Le, Joseph M. Connors, Angela R. Brooks-Wilson |
| Abstract |
Individuals who live to 85 and beyond without developing major age-related diseases may achieve this, in part, by lacking disease susceptibility factors, or by possessing resistance factors that enhance their ability to avoid disease and prolong lifespan. Healthy aging is a complex phenotype likely to be affected by both genetic and environmental factors. We sequenced 24 candidate healthy aging genes in DNA samples from 47 healthy individuals aged eighty-five years or older (the 'oldest-old'), to characterize genetic variation that is present in this exceptional group. These healthy seniors were never diagnosed with cancer, cardiovascular disease, pulmonary disease, diabetes, or Alzheimer disease. We re-sequenced all exons, intron-exon boundaries and selected conserved non-coding sequences of candidate genes involved in aging-related processes, including dietary restriction (PPARG, PPARGC1A, SIRT1, SIRT3, UCP2, UCP3), metabolism (IGF1R, APOB, SCD), autophagy (BECN1, FRAP1), stem cell activation (NOTCH1, DLL1), tumor suppression (TP53, CDKN2A, ING1), DNA methylation (TRDMT1, DNMT3A, DNMT3B) Progeria syndromes (LMNA, ZMPSTE24, KL) and stress response (CRYAB, HSPB2). We detected 935 variants, including 848 single nucleotide polymorphisms (SNPs) and 87 insertion or deletions; 41% (385) were not recorded in dbSNP. This study is the first to present a comprehensive analysis of genetic variation in aging-related candidate genes in healthy oldest-old. These variants and especially our novel polymorphisms are valuable resources to test for genetic association in models of disease susceptibility or resistance. In addition, we propose an innovative tagSNP selection strategy that combines variants identified through gene re-sequencing- and HapMap-derived SNPs. |
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 | 4 | 4% |
| Japan | 2 | 2% |
| Mexico | 2 | 2% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 97 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 21% |
| Researcher | 23 | 21% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 27 | 25% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 32% |
| Medicine and Dentistry | 28 | 26% |
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Neuroscience | 9 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 8 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 July 2018.
All research outputs
#1,989,637
of 22,708,120 outputs
Outputs from PLOS ONE
#25,581
of 193,897 outputs
Outputs of similar age
#7,039
of 111,800 outputs
Outputs of similar age from PLOS ONE
#83
of 506 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,897 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 86% 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 111,800 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 93% of its contemporaries.
We're also able to compare this research output to 506 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.