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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic Signatures of Exceptional Longevity in Humans
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0029848 |
| Pubmed ID | |
| Authors |
Paola Sebastiani, Nadia Solovieff, Andrew T. DeWan, Kyle M. Walsh, Annibale Puca, Stephen W. Hartley, Efthymia Melista, Stacy Andersen, Daniel A. Dworkis, Jemma B. Wilk, Richard H. Myers, Martin H. Steinberg, Monty Montano, Clinton T. Baldwin, Josephine Hoh, Thomas T. Perls |
| Abstract |
Like most complex phenotypes, exceptional longevity is thought to reflect a combined influence of environmental (e.g., lifestyle choices, where we live) and genetic factors. To explore the genetic contribution, we undertook a genome-wide association study of exceptional longevity in 801 centenarians (median age at death 104 years) and 914 genetically matched healthy controls. Using these data, we built a genetic model that includes 281 single nucleotide polymorphisms (SNPs) and discriminated between cases and controls of the discovery set with 89% sensitivity and specificity, and with 58% specificity and 60% sensitivity in an independent cohort of 341 controls and 253 genetically matched nonagenarians and centenarians (median age 100 years). Consistent with the hypothesis that the genetic contribution is largest with the oldest ages, the sensitivity of the model increased in the independent cohort with older and older ages (71% to classify subjects with an age at death>102 and 85% to classify subjects with an age at death>105). For further validation, we applied the model to an additional, unmatched 60 centenarians (median age 107 years) resulting in 78% sensitivity, and 2863 unmatched controls with 61% specificity. The 281 SNPs include the SNP rs2075650 in TOMM40/APOE that reached irrefutable genome wide significance (posterior probability of association = 1) and replicated in the independent cohort. Removal of this SNP from the model reduced the accuracy by only 1%. Further in-silico analysis suggests that 90% of centenarians can be grouped into clusters characterized by different "genetic signatures" of varying predictive values for exceptional longevity. The correlation between 3 signatures and 3 different life spans was replicated in the combined replication sets. The different signatures may help dissect this complex phenotype into sub-phenotypes of exceptional longevity. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 30% |
| Australia | 2 | 9% |
| Saudi Arabia | 1 | 4% |
| Portugal | 1 | 4% |
| United Kingdom | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 10 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 6 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 466 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 3% |
| United Kingdom | 8 | 2% |
| Germany | 4 | <1% |
| Netherlands | 3 | <1% |
| Brazil | 3 | <1% |
| Spain | 3 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 425 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 120 | 26% |
| Student > Ph. D. Student | 85 | 18% |
| Student > Master | 45 | 10% |
| Student > Bachelor | 36 | 8% |
| Other | 25 | 5% |
| Other | 99 | 21% |
| Unknown | 56 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 148 | 32% |
| Biochemistry, Genetics and Molecular Biology | 70 | 15% |
| Medicine and Dentistry | 69 | 15% |
| Computer Science | 19 | 4% |
| Neuroscience | 16 | 3% |
| Other | 74 | 16% |
| Unknown | 70 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 159. 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 19 November 2022.
All research outputs
#260,539
of 26,017,215 outputs
Outputs from PLOS ONE
#3,763
of 225,486 outputs
Outputs of similar age
#1,325
of 257,633 outputs
Outputs of similar age from PLOS ONE
#36
of 3,309 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 98% 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 257,633 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 99% of its contemporaries.
We're also able to compare this research output to 3,309 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.