Evidence map›Paper›PMID 26444257›Full record

ArticlePharmacogenetics and genomics2016

Genetic diversity of variants involved in drug response and metabolism in Sri Lankan populations: implications for clinical implementation of pharmacogenomics.

Sze Ling Chan, Nilakshi Samaranayake, Colin J D Ross, Meng Tiak Toh, Bruce Carleton, Michael R Hayden, Yik Ying Teo, Vajira H W Dissanayake, Liam R Brunham

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Pharmacogenetics and genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genetics and genomic medicine in Sri Lanka.Molecular genetics & genomic medicine · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Implementing Precision Medicine: The Ethical Challenges.Trends in pharmacological sciences · 2017
    Review
  12. Article
  13. 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

9 authors at 7 institutions in 6 countries.

Sze Ling ChanaTranslational Laboratory in Genetic Medicine, Agency for Science, Technology, and Research bSaw Swee Hock School of Public Health cNUS Graduate School for Integrative Sciences and Engineering dLife Sciences Institute Departments of eStatistics and Applied Probability fMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore Departments of gParasitology hAnatomy, University of Colombo, Colombo, Sri Lanka iDepartment of Pediatrics, Division of Translational Therapeutics jCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute kDepartment of Medicine, Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada.
Nilakshi Samaranayake
Colin J D Ross
Meng Tiak Toh
Bruce Carleton
Michael R Hayden
Yik Ying Teo
Vajira H W Dissanayake
Liam R Brunham
Agency for Science, Technology and Research · SGTranslational Therapeutics (United States) · USChild and Family Research Institute · CAInstitute of Parasitology · CZNational University of Singapore · SGPharmacoGenetics (China) · CNUniversity of Colombo · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterpopulation differences in drug responses are well documented, and in some cases they correspond to differences in the frequency of associated genetic markers. Understanding the diversity of genetic markers associated with drug response across different global populations is essential to infer population rates of drug response or risk for adverse drug reactions, and to guide implementation of pharmacogenomic testing. Sri Lanka is a culturally and linguistically diverse nation, but little is known about the population genetics of the major Sri Lankan ethnic groups. The objective of this study was to investigate the diversity of pharmacogenomic variants in the major Sri Lankan ethnic groups.

methodsWe examined the allelic diversity of more than 7000 variants in genes involved in drug biotransformation and response in the three major ethnic populations of Sri Lanka (Sinhalese, Sri Lankan Tamils, and Moors), and compared them with other South Asian, South East Asian, and European populations using Wright's Fixation Index, principal component analysis, and STRUCTURE analysis.

resultsWe observed overall high levels of similarity within the Sri Lankan populations (median FST=0.0034), and between Sri Lankan and other South Asian populations (median FST=0.0064). Notably, we observed substantial differentiation between Sri Lankan and European populations for important pharmacogenomic variants related to warfarin (VKORC1 rs9923231) and clopidogrel (CYP2C19 rs4986893) response.

conclusionThese data expand our understanding of the population structure of Sri Lanka, provide a resource for pharmacogenomic research, and have implications for the clinical use of genetic testing of pharmacogenomic variants in these populations.

Indexed as

ClopidogrelEthnicityGenetic MarkersGenetics, PopulationGenetic VariationHumansPharmacogeneticsPrincipal Component AnalysisSri LankaTiclopidineWarfarinClopidogrelGenetic MarkersTiclopidineWarfarin

Identifiers

PMID26444257
PMCPMC4890825
OpenAlexW2343497810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.