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Variants Identified in a GWAS Meta-Analysis for Blood Lipids Are Associated with the Lipid Response to Fenofibrate

Overview of attention for article published in PLOS ONE, October 2012
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Title
Variants Identified in a GWAS Meta-Analysis for Blood Lipids Are Associated with the Lipid Response to Fenofibrate
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048663
Pubmed ID
Authors

Stella Aslibekyan, Mark O. Goodarzi, Alexis C. Frazier-Wood, Xiaofei Yan, Marguerite R. Irvin, Eric Kim, Hemant K. Tiwari, Xiuqing Guo, Robert J. Straka, Kent D. Taylor, Michael Y. Tsai, Paul N. Hopkins, Stanley G. Korenman, Ingrid B. Borecki, Yii-Der I. Chen, Jose M. Ordovas, Jerome I. Rotter, Donna K. Arnett

Abstract

A recent large-scale meta-analysis of genome-wide studies has identified 95 loci, 59 of them novel, as statistically significant predictors of blood lipid traits; we tested whether the same loci explain the observed heterogeneity in response to lipid-lowering therapy with fenofibrate. Using data from the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN, n = 861) we fit linear mixed models with the genetic markers as predictors and high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, total cholesterol, and triglyceride concentrations as outcomes. For all four traits, we analyzed both baseline levels and changes in response to treatment with fenofibrate. For the markers that were significantly associated with fenofibrate response, we fit additional models evaluating potential epistatic interactions. All models were adjusted for age, sex, and study center as fixed effects, and pedigree as a random effect. Statistically significant associations were observed between the rs964184 polymorphism near APOA1 (P-value≤0.0001) and fenofibrate response for HDL and triglycerides. The association was replicated in the Pharmacogenetics of Hypertriglyceridemia in Hispanics study (HyperTG, n = 267). Suggestive associations with fenofibrate response were observed for markers in or near PDE3A, MOSC1, FLJ36070, CETP, the APOE-APOC1-APOC4-APOC2, and CILP2. Finally, we present strong evidence for epistasis (P-value for interaction =  0.0006 in GOLDN, 0.05 in HyperTG) between rs10401969 near CILP2 and rs4420638 in the APOE-APOC1-APOC4-APOC2 cluster with total cholesterol response to fenofibrate. In conclusion, we present evidence linking several novel and biologically relevant genetic polymorphisms to lipid lowering drug response, as well as suggesting novel gene-gene interactions in fenofibrate pharmacogenetics.

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Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 29%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 5 8%
Professor > Associate Professor 5 8%
Student > Bachelor 4 7%
Other 13 22%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 25%
Biochemistry, Genetics and Molecular Biology 10 17%
Medicine and Dentistry 9 15%
Nursing and Health Professions 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 10 17%
Unknown 11 19%
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 November 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from PLOS ONE
#153,899
of 193,651 outputs
Outputs of similar age
#140,538
of 184,188 outputs
Outputs of similar age from PLOS ONE
#3,595
of 4,894 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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