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The chromosome 9p21 variant interacts with vegetable and wine intake to influence the risk of cardiovascular disease: a population based cohort study

Overview of attention for article published in BMC Medical Genomics, December 2014
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Title
The chromosome 9p21 variant interacts with vegetable and wine intake to influence the risk of cardiovascular disease: a population based cohort study
Published in
BMC Medical Genomics, December 2014
DOI 10.1186/s12881-014-0138-x
Pubmed ID
Authors

George Hindy, Ulrika Ericson, Viktor Hamrefors, Isabel Drake, Elisabet Wirfält, Olle Melander, Marju Orho-Melander

Abstract

BackgroundChromosome 9p21 variants are associated with cardiovascular disease (CVD) but not with any of its known risk markers. However, recent studies have suggested that the risk associated with 9p21 variation is modified by a prudent dietary pattern and smoking. We tested if the increased risk of CVD by the 9p21 single nucleotide polymorphism rs4977574 is modified by intakes of vegetables, fruits, alcohol, or wine, and if rs4977574 interacts with environmental factors on known CVD risk markers.MethodsMultivariable Cox regression analyses were performed in 23,949 individuals from the population-based prospective Malmö Diet and Cancer Study (MDCS), of whom 3,164 developed CVD during 15 years of follow-up. The rs4977574 variant (major allele: A; minor allele: G) was genotyped using TaqMan® Assay Design probes. Dietary data were collected at baseline using a modified diet history method. Cross-sectional analyses were performed in 4,828 MDCS participants with fasting blood levels of circulating risk factors measured at baseline.ResultsEach rs4977574 G allele was associated with a 16% increased incidence of CVD (95% confidence interval (CI), 1.10¿1.22). Higher vegetable intake (hazard ratio (HR), 0.95 [CI: 0.91¿0.996]), wine intake (HR, 0.91 [CI: 0.86¿0.96]), and total alcohol consumption (HR, 0.92 [CI: 0.86¿0.98]) were associated with lower CVD incidence. The increased CVD incidence by the G allele was restricted to individuals with medium or high vegetable intake (Pinteraction¿=¿0.043), and to non- and low consumers of wine (Pinteraction¿=¿0.029). Although rs4977574 did not associate with any known risk markers, stratification by vegetable intake and smoking suggested an interaction with rs4977574 on glycated hemoglobin and high-density lipoprotein cholesterol (Pinteraction¿=¿0.015 and 0.049, respectively).ConclusionsOur results indicate that rs4977574 interacts with vegetable and wine intake to affect the incidence of CVD, and suggest that an interaction may exist between environmental risk factors and rs4977574 on known risk markers of CVD.

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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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Master 9 16%
Student > Bachelor 8 14%
Student > Doctoral Student 8 14%
Researcher 5 9%
Other 6 11%
Unknown 12 21%
Readers by discipline Count As %
Medicine and Dentistry 16 28%
Biochemistry, Genetics and Molecular Biology 8 14%
Agricultural and Biological Sciences 7 12%
Nursing and Health Professions 4 7%
Veterinary Science and Veterinary Medicine 2 4%
Other 6 11%
Unknown 14 25%
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 18 October 2015.
All research outputs
#15,983,785
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#1,089
of 2,444 outputs
Outputs of similar age
#197,870
of 359,110 outputs
Outputs of similar age from BMC Medical Genomics
#21
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% 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 54% 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 359,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.