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PDGF-D gene polymorphism is associated with increased cardiovascular mortality in elderly men

Overview of attention for article published in BMC Medical Genomics, September 2016
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Title
PDGF-D gene polymorphism is associated with increased cardiovascular mortality in elderly men
Published in
BMC Medical Genomics, September 2016
DOI 10.1186/s12881-016-0325-z
Pubmed ID
Authors

Urban Alehagen, Renate S. Olsen, Toste Länne, Andreas Matussek, Dick Wågsäter

Abstract

Platelet-derived growth factor (PDGF) D has been reported to be active in fibroblasts, and in areas of myocardial infarction. In this longitudinal study we evaluated the association between PDGF-D polymorphism and cardiovascular mortality, and attempted to discover whether specific genotype differences regarding risk could be observed, and if gender differences could be seen. Four hundred seventy-six elderly community participants were included in this study. All participants underwent a clinical examination, echocardiography, and blood sampling including PDGF-D single nucleotide polymorphism (SNP) analyses of the rs974819 A/A, G/A and G/G SNP. The follow-up time was 6.7 years. No specific genotype of rs974819 demonstrated increased cardiovascular mortality in the total population, however, the male group with genotypes A/A and G/A demonstrated an increased risk that persisted in a multivariate evaluation where adjustments were made for well-known cardiovascular risk factors (2.7 fold compared with the G/G genotype). No corresponding finding was observed in the female group. We report here for the first time that the genotypes G/A or A/A of the SNP rs974819 near PDGF-D exhibited a 2.7 fold increased cardiovascular mortality risk in males. Corresponding increased risk could not be observed in either the total population and thus not in the female group. However, the sample size is was small and the results should be regarded as hypothesis-generating, and thus more research in the field is recommended.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 14%
Student > Bachelor 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Psychology 2 14%
Immunology and Microbiology 1 7%
Social Sciences 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 September 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#308,503
of 348,369 outputs
Outputs of similar age from BMC Medical Genomics
#40
of 49 outputs
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