Evidence map›Paper›PMID 21741043›Full record

ArticleAtherosclerosis2011

Genetic variability within the cholesterol lowering pathway and the effectiveness of statins in reducing the risk of MI.

Bas J M Peters, Helmi Pett, Olaf H Klungel, Bruno H Ch Stricker, Bruce M Psaty, Nicole L Glazer, Kerri L Wiggins, Josh C Bis, Anthonius de Boer, Anke-Hilse Maitland-van der Zee

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PubMed Full text at PMC Publisher
In one paragraph

Article in Atherosclerosis, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Is a PCSK9 Inhibitor Right for Your Patient? A Review of Treatment Data for Individualized Therapy.International journal of environmental research and public health · 2022
    Pooled it
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  5. Review
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  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Associations between long-term exposure to PMEnvironment international · 2017
    Article
  14. Genetics of Dyslipidemia.Arquivos brasileiros de cardiologia · 2016
    Article
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  16. Article
  17. Review
  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Bas J M PetersDepartment of Pharmacoepidemiology and Pharmacotherapy, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Helmi Pett
Olaf H Klungel
Bruno H Ch Stricker
Bruce M Psaty
Nicole L Glazer
Kerri L Wiggins
Josh C Bis
Anthonius de Boer
Anke-Hilse Maitland-van der Zee
Utrecht University · NLUniversity of Washington · USDutch Health Care Inspectorate · NLGroup Health Cooperative · USKaiser Permanente Washington Health Research Institute · US

Funding

Genome-wide case-only study of antihypertensive drug-gene interactionsR01HL085251 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2010
$7.2M
Pharmacogenetics and Cardiovascular EventsR01HL074745 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2003 to 2006
$2.8M
NHLBI NIH HHS HL085251NHLBI NIH HHS R01 HL074745
6 · The paper itself

Abstract

Genetic variability has been shown to affect statin responsiveness. Participants from the Utrecht Cardiovascular Pharmacogenetics (UCP) studies were enrolled from a population-based registry of pharmacy records linked to hospital discharge records (PHARMO) to investigate tagging SNPs within candidate genes involved in the cholesterol lowering pathway for modification of the effectiveness of statins in reducing the risk of myocardial infarction (MI). Patients who received a prescription for an antihypertensive drug and/or had hypercholesterolemia were selected from the PHARMO database. We designed a nested case-control study in which cases were hospitalized for MI and controls were not. Patients were contacted through their community pharmacies. For this study, only hypercholesterolemic participants were selected. Logistic regression analysis was used to investigate pharmacogenetic interactions. The Heart and Vascular Health Study (HVH) was used to replicate findings from UCP. The study population included 668 cases and 1217 controls. We selected 231 SNPs of which 209 SNPs in 27 genes passed quality control. Ten SNPs in eight genes were found to influence the effectiveness of statins in UCP, of which the most significant interaction was found with SCARB1 rs4765615. Other genes that reached statistical significance (p<0.05) included two SNPs in PCSK9 (rs10888896 and rs505151 (E670G)), two SNPs in ABCG5 (rs4245786 and rs1864815), LIPC rs16940379, ABCA1 rs4149264, PPARG rs2972164, LRP1 rs715948, and SOAT1 rs2493121. None of the total of 5 SNPs that were available for replication in HVH reached statistical significance. In conclusion, ten SNPs were found to modify the effectiveness of statins in reducing the risk of MI in the UCP study. Five were also tested in the HVH study, but no interactions reached statistical significance.

Indexed as

Polymorphism, Single NucleotideAgedATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 5Case-Control StudiesChi-Square DistributionCholesterolFemaleGenotypeHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaLipaseLipoproteinsLogistic ModelsLow Density Lipoprotein Receptor-Related Protein-1ABCG5 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 5CholesterolHydroxymethylglutaryl-CoA Reductase InhibitorsLipaseLIPC protein, humanLipoproteinsLow Density Lipoprotein Receptor-Related Protein-1LRP1 protein, humanPCSK9 protein, humanPPAR gammaProprotein Convertase 9Proprotein ConvertasesSCARB1 protein, humanScavenger Receptors, Class BSerine EndopeptidasesSterol O-Acyltransferasesterol O-acyltransferase 1

Identifiers

PMID21741043
PMCPMC3465613
OpenAlexW2000993996

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.