Evidence map›Paper›PMID 36445690›Full record

ArticleGenome biology and evolution2022

Joint Analysis of Phenotypic and Genomic Diversity Sheds Light on the Evolution of Xenobiotic Metabolism in Humans.

Médéric Mouterde, Youssef Daali, Victoria Rollason, Martina Čížková, Anwar Mulugeta, Khalid A Al Balushi, Giannoulis Fakis, Theodoros C Constantinidis, Khalid Al-Thihli, Marie Černá and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2022. 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
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

17 authors at 9 institutions in 6 countries.

Médéric MouterdeDepartment of Genetics and Evolution (GENEV), University of Geneva, Geneva, Switzerland.ORCID 0000-0002-5951-7130
Youssef DaaliDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID 0000-0002-8391-9383
Victoria RollasonDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID 0000-0002-8073-6610
Martina ČížkováInstitute of Archaeology of the Academy of Sciences of the Czech Republic, Prague, Czech Republic.ORCID 0000-0001-5776-8107
Anwar MulugetaDepartment of Pharmacology and Clinical Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-8018-3454
Khalid A Al BalushiCollege of Pharmacy, National University of Science and Technology, Muscat, Sultanate of Oman.ORCID 0000-0003-4638-8787
Giannoulis FakisDepartment of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece.ORCID 0000-0003-1613-3943
Theodoros C ConstantinidisDepartment of Medicine, Democritus University of Thrace Medical School, Alexandroupolis, Greece.
Khalid Al-ThihliDepartment of Genetics, Sultan Qaboos University Hospital, Muscat, Sultanate of Oman.ORCID 0000-0001-7518-4615
Marie ČernáDepartment of Medical Genetics, Third Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0002-1208-5588
Eyasu MakonnenDepartment of Pharmacology and Clinical Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-9259-5288
Sotiria BoukouvalaDepartment of Molecular Biology and Genetics, Democritus University of Thrace, Alexandroupolis, Greece.ORCID 0000-0002-3162-5375
Said Al-YahyaeeDepartment of Genetics, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.ORCID 0000-0001-8217-6445
Getnet YimerCenter for Global Genomics & Health Equity, Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-1469-837X
Viktor ČernýDepartment of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic.ORCID 0000-0003-1197-6634
Jules DesmeulesDivision of Clinical Pharmacology and Toxicology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID 0000-0003-2702-1795
Estella S PoloniDepartment of Genetics and Evolution (GENEV), University of Geneva, Geneva, Switzerland.ORCID 0000-0002-8465-003X
University of Geneva · CHDemocritus University of Thrace · GRAddis Ababa University · ETCharles University · CZCzech Academy of Sciences, Institute of Archaeology, Prague · CZMuscat College · OMSultan Qaboos University · OMSultan Qaboos University Hospital · OMUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in genes involved in the absorption, distribution, metabolism, and excretion of drugs (ADME) can influence individual response to a therapeutic treatment. The study of ADME genetic diversity in human populations has led to evolutionary hypotheses of adaptation to distinct chemical environments. Population differentiation in measured drug metabolism phenotypes is, however, scarcely documented, often indirectly estimated via genotype-predicted phenotypes. We administered seven probe compounds devised to target six cytochrome P450 enzymes and the P-glycoprotein (P-gp) activity to assess phenotypic variation in four populations along a latitudinal transect spanning over Africa, the Middle East, and Europe (349 healthy Ethiopian, Omani, Greek, and Czech volunteers). We demonstrate significant population differentiation for all phenotypes except the one measuring CYP2D6 activity. Genome-wide association studies (GWAS) evidenced that the variability of phenotypes measuring CYP2B6, CYP2C9, CYP2C19, and CYP2D6 activity was associated with genetic variants linked to the corresponding encoding genes, and additional genes for the latter three. Instead, GWAS did not indicate any association between genetic diversity and the phenotypes measuring CYP1A2, CYP3A4, and P-gp activity. Genome scans of selection highlighted multiple candidate regions, a few of which included ADME genes, but none overlapped with the GWAS candidates. Our results suggest that different mechanisms have been shaping the evolution of these phenotypes, including phenotypic plasticity, and possibly some form of balancing selection. We discuss how these contrasting results highlight the diverse evolutionary trajectories of ADME genes and proteins, consistent with the wide spectrum of both endogenous and exogenous molecules that are their substrates.

Indexed as

Cytochrome P-450 CYP2D6Genome-Wide Association StudyGenomicsHumansPhenotypeXenobioticsCytochrome P-450 CYP2D6XenobioticsADME genesdrug metabolism phenotypesgenome-wide association studiesgenome-wide selection scanshuman evolution

Identifiers

PMID36445690
PMCPMC9750130
OpenAlexW4310281872

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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.