Evidence map›Paper›PMID 32683419›Full record

ArticleThe pharmacogenomics journal2021

Group-based pharmacogenetic prediction: is it feasible and do current NHS England ethnic classifications provide appropriate data?

Catherine J E Ingram, Rosemary Ekong, Naser Ansari-Pour, Neil Bradman, Dallas M Swallow

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Article in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Catherine J E Ingram *Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, UK.
Rosemary Ekong *Research Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, UK.
Naser Ansari-Pour *Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, OX3 7LF, UK.
Neil BradmanHenry Stewart Group, 40-41 Museum Street, London, WC1A 1LT, UK.
Dallas M SwallowResearch Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, UK. d.swallow@ucl.ac.uk.ORCID http://orcid.org/0000-0001-7310-2735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inter-individual variation of drug metabolising enzymes (DMEs) leads to variable efficacy of many drugs and even adverse drug responses. Consequently, it would be desirable to test variants of many DMEs before drug treatment. Inter-ethnic differences in frequency mean that the choice of SNPs to test may vary across population groups. Here we examine the utility of testing representative groups as a way of assessing what variants might be tested. We show that publicly available population information is potentially useful for determining loci for pre-treatment genetic testing, and for determining the most prevalent risk haplotypes in defined groups. However, we also show that the NHS England classifications have limitations for grouping for these purposes, in particular for people of African descent. We conclude: (1) genotyping of hospital patients and people from the hospital catchment area confers no advantage over using samples from appropriate existing ethnic group collections or publicly available data, (2) given the current NHS England Black African grouping, a decision as to whether to test, would have to apply to all patients of recent Black African ancestry to cover reported risk alleles and (3) the current scarcity of available genome and drug effect data from Africans is a problem for both testing and treatment decisions.

Indexed as

PharmacogeneticsPharmacogenomic TestingAllelesArylamine N-AcetyltransferaseBlack PeopleCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Cytochrome P-450 CYP3AEnglandEthnicityFemaleGenotypeGlucuronosyltransferaseHaplotypesHumansInactivation, MetabolicArylamine N-AcetyltransferaseCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Cytochrome P-450 CYP3Adimethylaniline monooxygenase (N-oxide forming)GlucuronosyltransferaseNAT2 protein, humanOxygenasesUGT1A1 Enzyme

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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.