Evidence map›Paper›PMID 11897813›Full record

ReviewJournal of medical genetics2002

Human gene mutations causing infertility.

L C Layman

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of medical genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 165 citations in OpenAlex.

  1. Genomic signatures of selection in drug metabolizing genes across cattle populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  2. Article
  3. Review
  4. DNA Damage and Repair in Human Reproductive Cells.International journal of molecular sciences · 2018
    Review
  5. Autosomal single-gene disorders involved in human infertility.Saudi journal of biological sciences · 2018
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

L C LaymanDepartment of Obstetrics and Gynecology, The Institute of Molecular Medicine and Genetics, The Medical College of Georgia, Augusta, GA 30912-3360, USA. Llayman@mail.mcg.edu
Augusta University · US

Funding

Genetics of Delayed Puberty.R01HD033004 · NICHD · MEDICAL COLLEGE OF GEORGIA (MCG) · PI LAYMAN, LAWRENCE C · 2003 to 2014
$3.1M
GENETICS OF DELAYED PUBERTYR29HD033004 · NICHD · UNIVERSITY OF CHICAGO · PI LAYMAN, LAWRENCE C · 1997 to 2001
$213k
NICHD NIH HHS HD33004
6 · The paper itself

Abstract

The identification of gene mutations causing infertility in humans remains noticeably deficient at present. Although most males and females with infertility display normal pubertal development, nearly all of the gene mutations in humans have been characterised in people with deficient puberty and subsequent infertility. Gene mutations are arbitrarily categorised into four different compartments (I, hypothalamic; II, pituitary; III, gonadal; and IV, outflow tract). Diagnoses of infertility include hypogonadotrophic hypogonadism (compartments I and II), hypergonadotrophic hypogonadism (III), and obstructive disorders (compartment IV). Most gene mutations identified to date affect gonadal function, but it is also apparent that a large number of important genes in normal fertility have yet to be realised.

Indexed as

GenesChromosome AberrationsGonadsHumansHypogonadismHypothalamusInfertilityMutationPituitary GlandPuberty

Identifiers

PMID11897813
PMCPMC1735054
OpenAlexW2035506380

What OpenQuestion holds

Textmetadata
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.