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Genetic determinants of mortality. Can findings from genome-wide association studies explain variation in human mortality?

Overview of attention for article published in Human Genetics, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
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7 X users
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1 Facebook page
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1 research highlight platform

Readers on

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93 Mendeley
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Title
Genetic determinants of mortality. Can findings from genome-wide association studies explain variation in human mortality?
Published in
Human Genetics, January 2013
DOI 10.1007/s00439-013-1267-6
Pubmed ID
Authors

Andrea Ganna, Fernando Rivadeneira, Albert Hofman, André G. Uitterlinden, Patrik K. E. Magnusson, Nancy L. Pedersen, Erik Ingelsson, Henning Tiemeier

Abstract

Twin studies have estimated the heritability of longevity to be approximately 20-30 %. Genome-wide association studies (GWAS) have revealed a large number of determinants of morbidity, but so far, no new polymorphisms have been discovered to be associated with longevity per se in GWAS. We aim to determine whether the genetic architecture of mortality can be explained by single nucleotide polymorphisms (SNPs) associated with common traits and diseases related to mortality. By extensive quality control of published GWAS we created a genetic score from 707 common SNPs associated with 125 diseases or risk factors related with overall mortality. We prospectively studied the association of the genetic score with: (1) time-to-death; (2) incidence of the first of nine major diseases (coronary heart disease, stroke, heart failure, diabetes, dementia, lung, breast, colon and prostate cancers) in two population-based cohorts of Dutch and Swedish individuals (N = 15,039; age range 47-99 years). During a median follow-up of 6.3 years (max 22.2 years), we observed 4,318 deaths and 2,132 incident disease events. The genetic score was significantly associated with time-to-death [hazard ratio (HR) per added risk allele = 1.003, P value = 0.006; HR 4th vs. 1st quartile = 1.103]. The association between the genetic score and incidence of major diseases was stronger (HR per added risk allele = 1.004, P value = 0.002; HR 4th vs. 1st quartile = 1.160). Associations were stronger for individuals dying at older ages. Our findings are compatible with the view of mortality as a complex and highly polygenetic trait, not easily explainable by common genetic variants related to diseases and physiological traits.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Netherlands 1 1%
Unknown 90 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Master 14 15%
Student > Ph. D. Student 11 12%
Student > Bachelor 9 10%
Professor > Associate Professor 6 6%
Other 19 20%
Unknown 16 17%
Readers by discipline Count As %
Medicine and Dentistry 27 29%
Agricultural and Biological Sciences 11 12%
Biochemistry, Genetics and Molecular Biology 11 12%
Social Sciences 6 6%
Psychology 4 4%
Other 10 11%
Unknown 24 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 02 February 2016.
All research outputs
#1,466,918
of 23,577,654 outputs
Outputs from Human Genetics
#114
of 2,994 outputs
Outputs of similar age
#14,334
of 284,645 outputs
Outputs of similar age from Human Genetics
#2
of 14 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,994 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 284,645 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 94% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.