Evidence map›Paper›PMID 29720721›Full record

ArticleThe pharmacogenomics journal2018

Pharmacogenomic survey of Qatari populations using whole-genome and exome sequences.

Ambily Sivadas, Vinod Scaria

Abstract read
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In one paragraph

Article in The pharmacogenomics journal, 2018. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Genetic Variation among Pharmacogenes in the Sardinian Population.International journal of molecular sciences · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Study on the Genetics of Primary Ciliary Dyskinesia.Journal of clinical medicine · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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

2 authors.

Ambily SivadasGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi, 110020, India.
Vinod ScariaGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, Delhi, 110020, India. vinods@igib.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arabs represent one of the most genetically heterogeneous populations characterized by a high prevalence of Mendelian disorders due to consanguinity. Population-scale genomic datasets provide a unique opportunity to understand the epidemiology of variants associated with differential therapeutic response. We analyzed publicly available genomic data for 1005 Qatari individuals encompassing five subpopulations. The frequencies of known and novel pharmacogenetic variants were compared with global populations. Impact of genetic substructure on the pharmacogenetic landscape of the population was studied. We report an average of three clinically actionable pharmacogenetic variants with FDA-recommended genetic testing per Qatari individual regardless of their genetic ancestry. We observed extensive differences in the frequencies of clinically actionable pharmacogenetic variants among the Qatari subpopulations. Our analysis revealed 3579 deleterious pharmacogenetic variants potentially altering the function of 1163 genes associated with 1565 drugs. This study has thus compiled the first comprehensive landscape of pharmacogenetic variants for any Arab population.

Indexed as

Genetic Predisposition to DiseaseExomeExome SequencingFemaleGenetics, PopulationGenome, HumanGenomicsHumansMaleMolecular Sequence AnnotationPharmacogeneticsPharmacogenomic VariantsQatarWhole Genome Sequencing

Identifiers

What OpenQuestion holds

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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.