Evidence map›Paper›PMID 36779988›Full record

ArticleDevelopment (Cambridge, England)2023

Reproductive genomics of the mouse: implications for human fertility and infertility.

Alexis Garretson, Beth L Dumont, Mary Ann Handel

Open access · bronzeAbstract read
In one paragraph

Article in Development (Cambridge, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

Alexis GarretsonThe Jackson Laboratory, Bar Harbor, ME 04609, USA.ORCID 0000-0002-7260-0131
Beth L DumontThe Jackson Laboratory, Bar Harbor, ME 04609, USA.ORCID 0000-0003-0918-0389
Mary Ann HandelThe Jackson Laboratory, Bar Harbor, ME 04609, USA.ORCID 0000-0001-6669-3354
Tufts University · US

Funding

Population genomics in laboratory and outbred mouse populationsR35GM133415 · NIGMS · JACKSON LABORATORY · PI BETHANY L DUMONT · 2019 to 2026
$3.1M
6 · The paper itself

Abstract

Genetic analyses of mammalian gametogenesis and fertility have the potential to inform about two important and interrelated clinical areas: infertility and contraception. Here, we address the genetics and genomics underlying gamete formation, productivity and function in the context of reproductive success in mammalian systems, primarily mouse and human. Although much is known about the specific genes and proteins required for meiotic processes and sperm function, we know relatively little about other gametic determinants of overall fertility, such as regulation of gamete numbers, duration of gamete production, and gamete selection and function in fertilization. As fertility is not a binary trait, attention is now appropriately focused on the oligogenic, quantitative aspects of reproduction. Multiparent mouse populations, created by complex crossing strategies, exhibit genetic diversity similar to human populations and will be valuable resources for genetic discovery, helping to overcome current limitations to our knowledge of mammalian reproductive genetics. Finally, we discuss how what we know about the genomics of reproduction can ultimately be brought to the clinic, informing our concepts of human fertility and infertility, and improving assisted reproductive technologies.

Indexed as

InfertilitySemenAnimalsFertilityGenomicsHumansMaleMammalsMiceReproductionFertilityGametogenesisGeneticsGenomicsHumanInfertilityMouseMutagenesisQuantitative trait

Identifiers

PMID36779988
PMCPMC10836652
OpenAlexW4320485981

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.