Evidence map›Paper›PMID 33837531›Full record

ArticleClinical pharmacology and therapeutics2021

Biobank Scale Pharmacogenomics Informs the Genetic Underpinnings of Simvastatin Use.

Frank R Wendt, Dora Koller, Gita A Pathak, Daniel Jacoby, Edward J Miller, Renato Polimanti

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Pharmacogenomics Informs Cardiovascular Pharmacotherapy.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Frank R WendtDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Dora KollerDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Gita A PathakDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.
Daniel JacobySection of Cardiovascular Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Edward J MillerSection of Cardiovascular Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Renato PolimantiDivision of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Genome-wide Investigation of the Interplay Between Age-Related Hearing Loss and Smoking BehaviorsR21DC018098 · NIDCD · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2021
$440k
Investigating the Systems Genetics of the Patterns of Polysubstance Abuse and AddictionR21DA047527 · NIDA · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2019 to 2020
$369k
Decoding the Sex-Specific Biological Mechanisms of Psychiatric Disorders Using Genome-Wide AnalysesF32MH122058 · NIMH · YALE UNIVERSITY · PI WENDT, FRANK · 2020 to 2021
$118k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS UL1 TR001863NIDA NIH HHS R21 DA047527NIDCD NIH HHS R21 DC018098NIMH NIH HHS F32 MH122058
6 · The paper itself

Abstract

Studying drug-metabolizing enzymes, encoded by pharmacogenes, may inform biological mechanisms underlying the diseases for which a medication is prescribed. Until recently, pharmacogenes could not be studied at biobank scale. In 7,649 unrelated African-ancestry (AFR) and 326,214 unrelated European-ancestry (EUR) participants from the UK Biobank, we associated pharmacogene haplotypes from 50 genes with 265 (EUR) and 17 (AFR) medication use phenotypes using generalized linear models. In EUR, N-acetyltransferase 2 (NAT2) metabolizer phenotype and activity score were associated with simvastatin use. The dose of NAT2*1 was associated with simvastatin use when compared with NAT2*5 (the most common haplotype). This association was robust to effects of low-density lipoprotein cholesterol (LDL-C) concentration (NAT2*1 odds ratio (OR) = 1.07, 95% CI: 1.05-1.09, P = 1.14 × 10

Indexed as

AdultAgedArylamine N-AcetyltransferaseBiological Specimen BanksCholesterol, LDLCohort StudiesFemaleGenotypeHaplotypesHumansInactivation, MetabolicMaleMiddle AgedOdds RatioPharmacogeneticsPhenotypeArylamine N-AcetyltransferaseCholesterol, LDLSimvastatin

Identifiers

PMID33837531
PMCPMC8376807

What Socratic holds

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Registered trials

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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 Socratic graph.