↓ Skip to main content

Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts

Overview of attention for article published in Nature Genetics, December 2008
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
2 blogs
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
769 Dimensions

Readers on

mendeley
426 Mendeley
citeulike
5 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts
Published in
Nature Genetics, December 2008
DOI 10.1038/ng.269
Pubmed ID
Abstract

Recent genome-wide association (GWA) studies of lipids have been conducted in samples ascertained for other phenotypes, particularly diabetes. Here we report the first GWA analysis of loci affecting total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides sampled randomly from 16 population-based cohorts and genotyped using mainly the Illumina HumanHap300-Duo platform. Our study included a total of 17,797-22,562 persons, aged 18-104 years and from geographic regions spanning from the Nordic countries to Southern Europe. We established 22 loci associated with serum lipid levels at a genome-wide significance level (P < 5 x 10(-8)), including 16 loci that were identified by previous GWA studies. The six newly identified loci in our cohort samples are ABCG5 (TC, P = 1.5 x 10(-11); LDL, P = 2.6 x 10(-10)), TMEM57 (TC, P = 5.4 x 10(-10)), CTCF-PRMT8 region (HDL, P = 8.3 x 10(-16)), DNAH11 (LDL, P = 6.1 x 10(-9)), FADS3-FADS2 (TC, P = 1.5 x 10(-10); LDL, P = 4.4 x 10(-13)) and MADD-FOLH1 region (HDL, P = 6 x 10(-11)). For three loci, effect sizes differed significantly by sex. Genetic risk scores based on lipid loci explain up to 4.8% of variation in lipids and were also associated with increased intima media thickness (P = 0.001) and coronary heart disease incidence (P = 0.04). The genetic risk score improves the screening of high-risk groups of dyslipidemia over classical risk factors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 426 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 8 2%
Canada 3 <1%
Netherlands 2 <1%
France 1 <1%
Uruguay 1 <1%
South Africa 1 <1%
Italy 1 <1%
Colombia 1 <1%
Other 7 2%
Unknown 393 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 116 27%
Student > Ph. D. Student 86 20%
Professor 41 10%
Professor > Associate Professor 34 8%
Student > Master 31 7%
Other 83 19%
Unknown 35 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 142 33%
Biochemistry, Genetics and Molecular Biology 78 18%
Medicine and Dentistry 76 18%
Psychology 9 2%
Social Sciences 6 1%
Other 57 13%
Unknown 58 14%
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 09 October 2017.
All research outputs
#1,324,122
of 22,655,397 outputs
Outputs from Nature Genetics
#2,011
of 7,173 outputs
Outputs of similar age
#5,248
of 164,763 outputs
Outputs of similar age from Nature Genetics
#10
of 61 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.9. This one has gotten more attention than average, scoring higher than 71% 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 164,763 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 96% of its contemporaries.
We're also able to compare this research output to 61 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.