Evidence map›Paper›PMID 39354004›Full record

ArticleScientific reports2024

Pharmacogenetic analysis of structural variation in the 1000 genomes project using whole genome sequences.

Carissa A Sherman, Katrina G Claw, Seung-Been Lee

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. The Role of the Pediatric Pharmacist in Precision Medicine and Clinical Pharmacogenomics for Children.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    Article
  2. PharmVar GeneFocus: NAT2-Genetic Variation and Updated Nomenclature.Clinical pharmacology and therapeutics · 2026
    Review
  3. Article
  4. Article
  5. Genomics in Health and Biomedicine.Advances in experimental medicine and biology · 2026
    Review
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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

3 authors.

Carissa A ShermanDepartment of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Katrina G ClawDepartment of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Seung-Been LeeMacrogen Inc, Seoul, Republic of Korea. sbstevenlee@gmail.com.

Funding

Pharmacogenomic approaches to drug metabolism in American Indian/Alaska Native PeopleR35HG011319 · NHGRI · UNIVERSITY OF COLORADO DENVER · PI CLAW, KATRINA G · 2020 to 2024
$2.9M
NHGRI NIH HHS R35 HG011319NIH HHS R35HG011319
6 · The paper itself

Abstract

While significant strides have been made in understanding pharmacogenetics (PGx) and gene-drug interactions, there remains limited characterization of population-level PGx variation. This study aims to comprehensively profile global star alleles (haplotype patterns) and phenotype frequencies in 58 pharmacogenes associated with drug absorption, distribution, metabolism, and excretion. PyPGx, a star-allele calling tool, was employed to identify star alleles within high-coverage whole genome sequencing (WGS) data from the 1000 Genomes Project (N = 2504; 26 global populations). This process involved detecting structural variants (SVs), such as gene deletions, duplications, hybrids, as well as single nucleotide variants and insertion-deletion variants. The majority of our PyPGx calls for star alleles and phenotype frequencies aligned with the Pharmacogenomics Knowledge Base, although notable population-specific frequencies differed at least twofold. Validation efforts confirmed known SVs while uncovering several novel SVs currently undefined as star alleles. Additionally, we identified 210 small nucleotide variants associated with severe functional consequences that are not defined as star alleles. The study serves as a valuable resource, providing updated population-level star allele and phenotype frequencies while incorporating SVs. It also highlights the burgeoning potential of cost-effective WGS for PGx genotyping, offering invaluable insights to improve tailored drug therapies across diverse populations.

Indexed as

AllelesPharmacogeneticsWhole Genome SequencingGene FrequencyGenome, HumanGenomic Structural VariationHaplotypesHuman Genome ProjectHumansPharmacogenomic TestingPhenotypePolymorphism, Single NucleotideNext-generation sequencingPharmacogeneticsPopulation geneticsStar allelesStructural variation

Identifiers

PMID39354004
PMCPMC11445439

What OpenQuestion holds

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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.