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Meta-analysis of genome-wide association studies of HDL cholesterol response to statins

Overview of attention for article published in Journal of Medical Genetics, September 2016
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  • Good Attention Score compared to outputs of the same age (72nd percentile)

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Title
Meta-analysis of genome-wide association studies of HDL cholesterol response to statins
Published in
Journal of Medical Genetics, September 2016
DOI 10.1136/jmedgenet-2016-103966
Pubmed ID
Authors

Iris Postmus, Helen R Warren, Stella Trompet, Benoit J Arsenault, Christy L Avery, Joshua C Bis, Daniel I Chasman, Catherine E de Keyser, Harshal A Deshmukh, Daniel S Evans, QiPing Feng, Xiaohui Li, Roelof A J Smit, Albert V Smith, Fangui Sun, Kent D Taylor, Alice M Arnold, Michael R Barnes, Bryan J Barratt, John Betteridge, S Matthijs Boekholdt, Eric Boerwinkle, Brendan M Buckley, Y-D Ida Chen, Anton J M de Craen, Steven R Cummings, Joshua C Denny, Marie Pierre Dubé, Paul N Durrington, Gudny Eiriksdottir, Ian Ford, Xiuqing Guo, Tamara B Harris, Susan R Heckbert, Albert Hofman, G Kees Hovingh, John J P Kastelein, Leonore J Launer, Ching-Ti Liu, Yongmei Liu, Thomas Lumley, Paul M McKeigue, Patricia B Munroe, Andrew Neil, Deborah A Nickerson, Fredrik Nyberg, Eoin O'Brien, Christopher J O'Donnell, Wendy Post, Neil Poulter, Ramachandran S Vasan, Kenneth Rice, Stephen S Rich, Fernando Rivadeneira, Naveed Sattar, Peter Sever, Sue Shaw-Hawkins, Denis C Shields, P Eline Slagboom, Nicholas L Smith, Joshua D Smith, Nona Sotoodehnia, Alice Stanton, David J Stott, Bruno H Stricker, Til Stürmer, André G Uitterlinden, Wei-Qi Wei, Rudi G J Westendorp, Eric A Whitsel, Kerri L Wiggins, Russell A Wilke, Christie M Ballantyne, Helen M Colhoun, L Adrienne Cupples, Oscar H Franco, Vilmundur Gudnason, Graham Hitman, Colin N A Palmer, Bruce M Psaty, Paul M Ridker, Jeanette M Stafford, Charles M Stein, Jean-Claude Tardif, Mark J Caulfield, J Wouter Jukema, Jerome I Rotter, Ronald M Krauss

Abstract

In addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation. We performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p<1×10(-4) from the 16 769 statin-treated participants in the first analysis stage were followed up in an independent group of 10 951 statin-treated individuals, providing a total sample size of 27 720 individuals. The only associations of genome-wide significance (p<5×10(-8)) were between minor alleles at the CETP locus and greater HDL-C response to statin treatment. Based on results from this study that included a relatively large sample size, we suggest that CETP may be the only detectable locus with common genetic variants that influence HDL-C response to statins substantially in individuals of European descent. Although CETP is known to be associated with HDL-C, we provide evidence that this pharmacogenetic effect is independent of its association with baseline HDL-C levels.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 13%
Student > Master 14 13%
Student > Bachelor 12 12%
Student > Ph. D. Student 10 10%
Professor 10 10%
Other 23 22%
Unknown 21 20%
Readers by discipline Count As %
Medicine and Dentistry 31 30%
Biochemistry, Genetics and Molecular Biology 12 12%
Agricultural and Biological Sciences 9 9%
Nursing and Health Professions 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 14 13%
Unknown 29 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 August 2017.
All research outputs
#6,621,593
of 26,017,215 outputs
Outputs from Journal of Medical Genetics
#1,348
of 3,243 outputs
Outputs of similar age
#95,559
of 353,959 outputs
Outputs of similar age from Journal of Medical Genetics
#21
of 30 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 57% 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 353,959 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 72% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.