Evidence map›Paper›PMID 39206687›Full record

ArticleClinical and translational science2024

Patterns of pharmacogenetic variation in nine biogeographic groups.

Sophia Hernandez, Lucia A Hindorff, Joannella Morales, Erin M Ramos, Teri A Manolio

Abstract read
In one paragraph

Article in Clinical and translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Pharmacogenetics and Molecular Ancestry ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
  6. Article
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

5 authors.

Sophia HernandezNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Lucia A HindorffNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Joannella MoralesNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Erin M RamosNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Teri A ManolioNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-5844-4382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx-guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data.

Indexed as

Gene FrequencyPharmacogenomic VariantsAllelesCytochrome P-450 CYP2B6Cytochrome P-450 CYP2C9Genetics, PopulationHumansLiver-Specific Organic Anion Transporter 1PharmacogeneticsPharmacogenomic TestingCYP2B6 protein, humanCYP2C9 protein, humanCytochrome P-450 CYP2B6Cytochrome P-450 CYP2C9Liver-Specific Organic Anion Transporter 1SLCO1B1 protein, human

Identifiers

PMID39206687
PMCPMC11358764

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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 OpenQuestion graph.