↓ Skip to main content

Gene-centric Association Signals for Lipids and Apolipoproteins Identified via the HumanCVD BeadChip

Overview of attention for article published in American Journal of Human Genetics, November 2009
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

54 Wikipedia pages


132 Dimensions

Readers on

167 Mendeley
1 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.
Gene-centric Association Signals for Lipids and Apolipoproteins Identified via the HumanCVD BeadChip
Published in
American Journal of Human Genetics, November 2009
DOI 10.1016/j.ajhg.2009.10.014
Pubmed ID

Philippa J. Talmud, Fotios Drenos, Sonia Shah, Tina Shah, Jutta Palmen, Claudio Verzilli, Tom R. Gaunt, Jacky Pallas, Ruth Lovering, Kawah Li, Juan Pablo Casas, Reecha Sofat, Meena Kumari, Santiago Rodriguez, Toby Johnson, Stephen J. Newhouse, Anna Dominiczak, Nilesh J. Samani, Mark Caulfield, Peter Sever, Alice Stanton, Denis C. Shields, Sandosh Padmanabhan, Olle Melander, Claire Hastie, Christian Delles, Shah Ebrahim, Michael G. Marmot, George Davey Smith, Debbie A. Lawlor, Patricia B. Munroe, Ian N. Day, Mika Kivimaki, John Whittaker, Steve E. Humphries, Aroon D. Hingorani


Blood lipids are important cardiovascular disease (CVD) risk factors with both genetic and environmental determinants. The Whitehall II study (n=5592) was genotyped with the gene-centric HumanCVD BeadChip (Illumina). We identified 195 SNPs in 16 genes/regions associated with 3 major lipid fractions and 2 apolipoprotein components at p<10(-5), with the associations being broadly concordant with prior genome-wide analysis. SNPs associated with LDL cholesterol and apolipoprotein B were located in LDLR, PCSK9, APOB, CELSR2, HMGCR, CETP, the TOMM40-APOE-C1-C2-C4 cluster, and the APOA5-A4-C3-A1 cluster; SNPs associated with HDL cholesterol and apolipoprotein AI were in CETP, LPL, LIPC, APOA5-A4-C3-A1, and ABCA1; and SNPs associated with triglycerides in GCKR, BAZ1B, MLXIPL, LPL, and APOA5-A4-C3-A1. For 48 SNPs in previously unreported loci that were significant at p<10(-4) in Whitehall II, in silico analysis including the British Women's Heart and Health Study, BRIGHT, ASCOT, and NORDIL studies (total n>12,500) revealed previously unreported associations of SH2B3 (p<2.2x10(-6)), BMPR2 (p<2.3x10(-7)), BCL3/PVRL2 (flanking APOE; p<4.4x10(-8)), and SMARCA4 (flanking LDLR; p<2.5x10(-7)) with LDL cholesterol. Common alleles in these genes explained 6.1%-14.7% of the variance in the five lipid-related traits, and individuals at opposite tails of the additive allele score exhibited substantial differences in trait levels (e.g., >1 mmol/L in LDL cholesterol [approximately 1 SD of the trait distribution]). These data suggest that multiple common alleles of small effect can make important contributions to individual differences in blood lipids potentially relevant to the assessment of CVD risk. These genes provide further insights into lipid metabolism and the likely effects of modifying the encoded targets therapeutically.

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
United Kingdom 3 2%
Netherlands 2 1%
France 1 <1%
Jamaica 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Unknown 153 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 25%
Researcher 40 24%
Professor > Associate Professor 14 8%
Professor 14 8%
Student > Bachelor 12 7%
Other 45 27%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 37%
Medicine and Dentistry 39 23%
Biochemistry, Genetics and Molecular Biology 22 13%
Unspecified 16 10%
Computer Science 6 4%
Other 22 13%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 September 2018.
All research outputs
of 12,348,754 outputs
Outputs from American Journal of Human Genetics
of 4,390 outputs
Outputs of similar age
of 268,481 outputs
Outputs of similar age from American Journal of Human Genetics
of 54 outputs
Altmetric has tracked 12,348,754 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 268,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.