Evidence map›Paper›PMID 32817785›Full record

ReviewCell & bioscience2020

Y chromosome in health and diseases.

Yun-Fai Chris Lau

Open access · goldAbstract readReview
In one paragraph

Review in Cell & bioscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. A Novel Regulatory Role for RPS4Y1 in Inflammatory and Fibrotic Processes.International journal of molecular sciences · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Modeling specific aneuploidies: from karyotype manipulations to biological insights.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. 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

1 author at 1 institution in 1 country.

Yun-Fai Chris LauDivision of Cell and Developmental Genetics, Department of Medicine, San Francisco VA Health Care System, University of California, San Francisco, 4150 Clement Street, San Francisco, CA 94121 USA.ORCID 0000-0002-9119-7050
University of California, San Francisco · US

Funding

Molecular Mechanisms of a Male-Specific Positive Feedback Loop in Liver CancerI01BX004446 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI LAU, YUN-FAI CHRIS · 2019 to 2023
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BLRD Research Career Scientist Award ApplicationIK6BX004854 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI LAU, YUN-FAI CHRIS · 2020 to 2025
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BLRD VA I01 BX004446BLRD VA IK6 BX004854
6 · The paper itself

Abstract

Sex differences are prevalent in normal development, physiology and disease pathogeneses. Recent studies have demonstrated that mosaic loss of Y chromosome and aberrant activation of its genes could modify the disease processes in male biased manners. This mini review discusses the nature of the genes on the human Y chromosome and identifies two general categories of genes: those sharing dosage-sensitivity functions with their X homologues and those with testis-specific expression and functions. Mosaic loss of the former disrupts the homeostasis important for the maintenance of health while aberrant activation of the latter promotes pathogenesis in non-gonadal tissues, thereby contributing to genetic predispositions to diseases in men.

Indexed as

Gene functionsMale-specific regionMosaic lossPseudoautosomal regionY chromosome

Identifiers

PMID32817785
PMCPMC7427063
OpenAlexW3049041390

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.