Evidence map›Paper›PMID 25069476›Full record

Trial reportThe pharmacogenomics journal2015

Clinical and pharmacogenomic implications of genetic variation in a Southern Ethiopian population.

Fasil Tekola-Ayele, Adebowale Adeyemo, Abraham Aseffa, Elena Hailu, Chris Finan, Gail Davey, Charles N Rotimi, Melanie J Newport

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The pharmacogenomics journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Trial
  3. Review
  4. DissectingFrontiers in genetics · 2019
    Article
  5. Article
  6. Review
  7. Review
  8. Is there a role of pharmacogenomics in Africa.Global health, epidemiology and genomics · 2016
    Article
  9. Article
  10. Novel genomic signals of recent selection in an Ethiopian population.European journal of human genetics : EJHG · 2015
    Article
  11. Article
  12. 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

8 authors.

Fasil Tekola-AyeleCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Abraham AseffaArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Elena HailuArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Chris FinanWellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Gail DaveyBrighton and Sussex Medical School, Falmer, Brighton, UK.
Charles N Rotimi *Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Melanie J Newport *Brighton and Sussex Medical School, Falmer, Brighton, UK.

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
Ethiopia-Emory TB Research Training ProgramD43TW009127 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Kidist Bobosha · 2013 to 2026
$3.4M
FIC NIH HHS D43 TW009127Medical Research Council MR/J008621/1NIMHD NIH HHS P20 MD006899Wellcome Trust 079791Wellcome Trust 100715
6 · The paper itself

Abstract

Africa is home to genetically diverse human populations. We compared the genetic structure of the Wolaita ethnic population from Southern Ethiopia (WETH, n=120) with HapMap populations using genome-wide variants. We investigated allele frequencies of 443 clinically and pharmacogenomically relevant genetic variants in WETH compared with HapMap populations. We found that WETH were genetically most similar to the Kenya Maasai and least similar to the Japanese in HapMap. Variant alleles associated with increased risk of adverse reactions to drugs used for treating tuberculosis (rs1799929 and rs1495741 in NAT2), thromboembolism (rs7294, rs9923231 and rs9934438 in VKORC1), and HIV/AIDS and solid tumors (rs2242046 in SLC28A1) had significantly higher frequencies in WETH compared with African ancestry HapMap populations. Our results illustrate that clinically relevant pharmacogenomic loci display allele frequency differences among African populations. We conclude that drug dosage guidelines for important global health diseases should be validated in genetically diverse African populations.

Indexed as

Population SurveillanceBlack PeopleCohort StudiesEthiopiaGenetic VariationHumansPharmacogeneticsPolymorphism, Single Nucleotide

Identifiers

PMID25069476
PMCPMC4277706

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.