Evidence map›Paper›PMID 23835662›Full record

ArticleThe pharmacogenomics journal2014

Pharmacogenomics, ancestry and clinical decision making for global populations.

E Ramos, A Doumatey, A G Elkahloun, D Shriner, H Huang, G Chen, J Zhou, H McLeod, A Adeyemo, C N Rotimi

Abstract read
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In one paragraph

Article in The pharmacogenomics journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 pooled it
12.2field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 4 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
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  13. Pharmacogenetic DPYD allele variant frequencies: A comprehensive analysis across an ancestrally diverse Iranian population.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
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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

10 authors at 4 institutions in 1 country.

E RamosCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
A DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
A G ElkahlounCancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
D ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
H HuangCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
G ChenCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
J ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
H McLeodInstitute for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, NC, USA.
A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
C N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
National Human Genome Research Institute · USNational Institutes of Health · USCancer Genetics (United States) · USUniversity of North Carolina at Chapel Hill · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
NHGRI/DIR Microarray CoreZICHG200365 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ELKAHLOUN, ABDEL · 2011 to 2025
$9.0M
Genetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7M
NCRR NIH HHS 2M01RR010284NHGRI NIH HHS Z01HG200362NIGMS NIH HHS S06GM008016-320107NIGMS NIH HHS S06GM008016-380111
6 · The paper itself

Abstract

Pharmacogenomically relevant markers of drug response and adverse drug reactions are known to vary in frequency across populations. We examined minor allele frequencies (MAFs), genetic diversity (FST) and population structure of 1156 genetic variants (including 42 clinically actionable variants) in 212 genes involved in drug absorption, distribution, metabolism and excretion (ADME) in 19 populations (n=1478). There was wide population differentiation in these ADME variants, reflected in the range of mean MAF (ΔMAF) and FST. The largest mean ΔMAF was observed in African ancestry populations (0.10) and the smallest mean ΔMAF in East Asian ancestry populations (0.04). MAFs ranged widely, for example, from 0.93 for single-nucleotide polymorphism (SNP) rs9923231, which influences warfarin dosing to 0.01 for SNP rs3918290 associated with capecitabine metabolism. ADME genetic variants show marked variation between and within continental groupings of populations. Enlarging the scope of pharmacogenomics research to include multiple global populations can improve the evidence base for clinical translation to benefit all peoples.

Indexed as

PharmacogeneticsPopulation GroupsPractice Patterns, Physicians'Gene FrequencyHumansPolymorphism, Single Nucleotide

Identifiers

PMID23835662
OpenAlexW2012747935

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.