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Meta-Analysis
. 2016 Dec;53(12):835-845.
doi: 10.1136/jmedgenet-2016-103966. Epub 2016 Sep 1.

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

Iris Postmus  1 Helen R Warren  2   3 Stella Trompet  1   4 Benoit J Arsenault  5 Christy L Avery  6 Joshua C Bis  7 Daniel I Chasman  8   9 Catherine E de Keyser  10 Harshal A Deshmukh  11 Daniel S Evans  12 QiPing Feng  13 Xiaohui Li  14 Roelof A J Smit  4 Albert V Smith  15   16 Fangui Sun  17 Kent D Taylor  14 Alice M Arnold  18 Michael R Barnes  2   3 Bryan J Barratt  19 John Betteridge  20 S Matthijs Boekholdt  21 Eric Boerwinkle  22 Brendan M Buckley  23 Y-D Ida Chen  14 Anton J M de Craen  1 Steven R Cummings  12 Joshua C Denny  24   25 Marie Pierre Dubé  5 Paul N Durrington  26 Gudny Eiriksdottir  15 Ian Ford  27 Xiuqing Guo  14 Tamara B Harris  28 Susan R Heckbert  29   30   31 Albert Hofman  10   32 G Kees Hovingh  33 John J P Kastelein  33 Leonore J Launer  28 Ching-Ti Liu  17 Yongmei Liu  34 Thomas Lumley  7   35 Paul M McKeigue  36 Patricia B Munroe  2   3 Andrew Neil  37 Deborah A Nickerson  38 Fredrik Nyberg  39   40 Eoin O'Brien  41 Christopher J O'Donnell  42   43   44 Wendy Post  45 Neil Poulter  46 Ramachandran S Vasan  47 Kenneth Rice  18 Stephen S Rich  48 Fernando Rivadeneira  49 Naveed Sattar  50 Peter Sever  46 Sue Shaw-Hawkins  2   3 Denis C Shields  41   51 P Eline Slagboom  52 Nicholas L Smith  29   31   53 Joshua D Smith  38 Nona Sotoodehnia  7   54 Alice Stanton  55   56 David J Stott  57 Bruno H Stricker  10   49   58 Til Stürmer  6 André G Uitterlinden  10   32   49 Wei-Qi Wei  24 Rudi G J Westendorp  59 Eric A Whitsel  6   60 Kerri L Wiggins  7 Russell A Wilke  61   62 Christie M Ballantyne  63 Helen M Colhoun  11   64 L Adrienne Cupples  17   42 Oscar H Franco  10 Vilmundur Gudnason  15   16 Graham Hitman  65 Colin N A Palmer  11 Bruce M Psaty  7   29   31   66 Paul M Ridker  8 Jeanette M Stafford  67 Charles M Stein  25   68 Jean-Claude Tardif  5 Mark J Caulfield  2   3 J Wouter Jukema  4   69   70 Jerome I Rotter  14 Ronald M Krauss  71
Affiliations
Meta-Analysis

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

Iris Postmus et al. J Med Genet. 2016 Dec.

Abstract

Background: 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.

Methods and results: 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.

Conclusions: 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.

Keywords: Genome-wide association study; HDL-cholesterol; Statins; pharmacogenetics.

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Conflict of interest statement

Competing financial interests: BMP serves on the Data and Safety Monitoring Board of a clinical trial funded by the device manufacturer (Zoll LifeCor) and serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. NP and AS received funding from Pfizer for the extended follow-up of the ASCOT UK participants. DIC and PMR received research support for independent genetic analysis in JUPITER from AstraZeneca. FN and BJB have employment, stock and stock options in AstraZeneca, a for-profit company engaged in the discovery, development, manufacture and marketing of proprietary therapeutics such as rosuvastatin, but do not consider that this creates any conflict of interest with the subject-matter of this publication. RMK serves on the Merck Global Atherosclerosis Advisory Board. The remaining authors declare no competing financial interests.

Figures

Figure 1
Figure 1
Results of the GWAS meta-analysis. Manhattan plot presenting the –log10 P-values from the combined stage 1 and 2 meta-analysis on HDL-C response to statin treatment. The top (red) line represents the genome-wide significant P-value 5×10−8, the second (blue) line represents the P-value 1×10−4, the threshold used for selecting SNPs to take forward to the second stage. Hence the results of these SNPs come from the lager combined meta-analysis, whereas all other results are taken from the stage 1 discovery meta-analysis.
Figure 2
Figure 2
Forest plot showing the association in each study and overall association of the lead CETP SNP rs247616 with HDL-C response to statin treatment. Beta represents fractional HDL-C change for each copy of the minor allele.
Figure 3
Figure 3
Regional association plot of the CETP region that was genome-wide significant for association with HDL-C response to statin treatment, using the results of the combined meta-analysis (generated using LocusZoom [39]). The color of each SNP is based on the LD (r2) with the lead SNP rs247616 (shown in purple). The RefSeq genes in the region are shown in the lower panel.
Figure 4
Figure 4
Plot of the per-allele association of genetic variants with HDL-C levels (x-axis, per allele in SD units, as reported by Willer et al. [11]) against the association with HDL-C response to statin treatment (y-axis, percentage) (generated using [22]). The regression line shows the linear relationship between these two variables, with 95% confidence boundaries.

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