Evidence map›Paper›PMID 39488654›Full record

ArticleHuman genetics2024

Polymorphic pseudogenes in the human genome - a comprehensive assessment.

Mónica Lopes-Marques, M João Peixoto, David N Cooper, M João Prata, Luísa Azevedo, L Filipe C Castro

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Article in Human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Gene Loss DB: a curated database for gene loss in mammals-the cetacean collection.Database : the journal of biological databases and curation · 2025
    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

6 authors.

Mónica Lopes-MarquesCIIMAR-Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal. mmarques@ciimar.up.pt.
M João PeixotoCIIMAR-Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal.
David N CooperInstitute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK.
M João PrataInstituto de Investigação e Inovação em Saúde, University of Porto, Porto, Portugal.
Luísa Azevedo *UMIB-Unit for Multidisciplinary Research in Biomedicine, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, Porto, Portugal.
L Filipe C Castro *CIIMAR-Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, variations of the coding portion of the human genome have become increasingly evident. In this study, we focus on polymorphic pseudogenes, a unique and relatively unexplored type of pseudogene whose inactivating mutations have not yet been fixed in the human genome at the global population level. Thus, polymorphic pseudogenes are characterized by the presence in the population of both coding alleles and non-coding alleles originating from Loss-of-Function (LoF) mutations. These alleles can be found both in heterozygosity and in homozygosity in different human populations and thus represent pseudogenes that have not yet been fixed in the population.

resultsA methodical cross-population analysis of 232 polymorphic pseudogenes, including 35 new examples, reveals that human olfactory signalling, drug metabolism and immunity are among the systems most impacted by the variable presence of LoF variants at high frequencies. Within this dataset, a total of 179 genes presented polymorphic LoF variants in all analysed populations. Transcriptome and proteome analysis confirmed that although these genes may harbour LoF alleles, when the coding allele is present, the gene remains active and can play a functional role in various metabolic pathways, including drug/xenobiotic metabolism and immunity. The observation that many polymorphic pseudogenes are members of multigene families argues that genetic redundancy may play a key role in compensating for the inactivation of one paralogue.

conclusionsThe distribution, expression and integration of cellular/biological networks in relation to human polymorphic pseudogenes, provide novel insights into the architecture of the human genome and the dynamics of gene gain and loss with likely functional impact.

Indexed as

Genome, HumanPolymorphism, GeneticPseudogenesAllelesHumansLoss of Function MutationGene essentialityGene lossLoss of functionPolymorphic pseudogenePopulation analysis

Identifiers

PMID39488654
PMCPMC11576641

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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.