Evidence map›Paper›PMID 37757824›Full record

ArticleAmerican journal of human genetics2023

Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank.

Binglan Li, Katrin Sangkuhl, Ryan Whaley, Mark Woon, Karl Keat, Michelle Whirl-Carrillo, Marylyn D Ritchie, Teri E Klein

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Guideline
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  15. Pharmacogenetics: Opportunities for theAnnual review of pharmacology and toxicology · 2025
    Review
  16. Article
  17. Article
  18. PharmVar GeneFocus: CYP4F2.Clinical pharmacology and therapeutics · 2024
    Review
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Binglan LiDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
Katrin SangkuhlDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
Ryan WhaleyDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
Mark WoonDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
Karl KeatGenomics and Computational Biology PhD Program, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michelle Whirl-CarrilloDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Teri E KleinDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Genetics (by courtesy), Stanford University, Stanford, CA 94305, USA; Department of Medicine (BMIR), Stanford University, Stanford, CA 94305, USA. Electronic address: teri.klein@stanford.edu.
Stanford University · USUniversity of Pennsylvania · US

Funding

Clinical Implementation Resources for Pharmacogenomics (CIRP)U24HG013077 · NHGRI · STANFORD UNIVERSITY · PI CAUDLE, KELLY E., KLEIN, TERI ELLEN · 2023 to 2025
$4.4M
Pharmacogenomics Clinical Annotation Tool (PharmCAT)U24HG010862 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI KLEIN, TERI ELLEN, RITCHIE, MARYLYN D · 2020 to 2022
$1.7M
NHGRI NIH HHS U24 HG010862NHGRI NIH HHS U24 HG013077
6 · The paper itself

Abstract

Pharmacogenomics (PGx) is an integral part of precision medicine and contributes to the maximization of drug efficacy and reduction of adverse drug event risk. Accurate information on PGx allele frequencies improves the implementation of PGx. Nonetheless, curating such information from published allele data is time and resource intensive. The limited number of allelic variants in most studies leads to an underestimation of certain alleles. We applied the Pharmacogenomics Clinical Annotation Tool (PharmCAT) on an integrated 200K UK Biobank genetic dataset (N = 200,044). Based on PharmCAT results, we estimated PGx frequencies (alleles, diplotypes, phenotypes, and activity scores) for 17 pharmacogenes in five biogeographic groups: European, Central/South Asian, East Asian, Afro-Caribbean, and Sub-Saharan African. PGx frequencies were distinct for each biogeographic group. Even biogeographic groups with similar proportions of phenotypes were driven by different sets of dominant PGx alleles. PharmCAT also identified "no-function" alleles that were rare or seldom tested in certain groups by previous studies, e.g., SLCO1B1

Indexed as

Biological Specimen BanksPharmacogeneticsAllelesGene FrequencyHumansLiver-Specific Organic Anion Transporter 1Precision MedicineLiver-Specific Organic Anion Transporter 1SLCO1B1 protein, humanbiobankclinical implementationfrequencypharmacogeneticspharmacogenomicspopulation genetics

Identifiers

PMID37757824
PMCPMC10577080
OpenAlexW4387063472

What OpenQuestion holds

Textmetadata
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.