Evidence map›Paper›PMID 34882671›Full record

ReviewPLoS genetics2021

The good, the bad, and the ugly: Evolutionary and pathological aspects of gene dosage alterations.

M Felicia Basilicata, Claudia Isabelle Keller Valsecchi

Open access · goldAbstract readReview
In one paragraph

Review in PLoS genetics, 2021. 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
1.9field-weighted citation impact, top 13% 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, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Compensation of gene dosage on the mammalian X.Development (Cambridge, England) · 2024
    Review
  9. Harderian Gland Development and Degeneration in theJournal of developmental biology · 2024
    Article
  10. Article
  11. RNA stability controlled by mNature structural & molecular biology · 2023
    Article
  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

2 authors at 1 institution in 1 country.

M Felicia BasilicataInstitute of Molecular Biology (IMB), Mainz, Germany.ORCID 0000-0002-1111-9459
Claudia Isabelle Keller ValsecchiInstitute of Molecular Biology (IMB), Mainz, Germany.ORCID 0000-0003-4135-5927
Institute of Molecular Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diploid organisms contain a maternal and a paternal genome complement that is thought to provide robustness and allow developmental progression despite genetic perturbations that occur in heterozygosity. However, changes affecting gene dosage from the chromosome down to the individual gene level possess a significant pathological potential and can lead to developmental disorders (DDs). This indicates that expression from a balanced gene complement is highly relevant for proper cellular and organismal function in eukaryotes. Paradoxically, gene and whole chromosome duplications are a principal driver of evolution, while heteromorphic sex chromosomes (XY and ZW) are naturally occurring aneuploidies important for sex determination. Here, we provide an overview of the biology of gene dosage at the crossroads between evolutionary benefit and pathogenicity during disease. We describe the buffering mechanisms and cellular responses to alterations, which could provide a common ground for the understanding of DDs caused by copy number alterations.

Indexed as

AneuploidyEvolution, MolecularAnimalsDNA Copy Number VariationsGene DosageGene Expression RegulationHumansPlantsSex ChromosomesSex Determination Processes

Identifiers

PMID34882671
PMCPMC8659298
OpenAlexW4200282961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.