Evidence map›Paper›PMID 26240362›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

The genetics of human infertility by functional interrogation of SNPs in mice.

Priti Singh, John C Schimenti

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. Review
  3. Disruption ineLife · 2024
    Article
  4. Review
  5. Article
  6. In vivo versus in silico assessment of potentially pathogenic missense variants in human reproductive genes.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
  9. Computationally predicted pathogenicZoological research · 2022
    Article
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  11. Review
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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.

Priti SinghDepartment of Biomedical Sciences, Cornell University, Ithaca, NY 14853.
John C SchimentiDepartment of Biomedical Sciences, Cornell University, Ithaca, NY 14853 jcs92@cornell.edu.
Cornell University · US

Funding

Genetics of recombination/genomic instability in miceR01GM045415 · NIGMS · JACKSON LABORATORY · PI SCHIMENTI, JOHN C · 1992 to 2016
$4.9M
NIGMS NIH HHS GM45415NIGMS NIH HHS R01 GM045415
6 · The paper itself

Abstract

Infertility is a prevalent health issue, affecting ∼15% of couples of childbearing age. Nearly one-half of idiopathic infertility cases are thought to have a genetic basis, but the underlying causes are largely unknown. Traditional methods for studying inheritance, such as genome-wide association studies and linkage analyses, have been confounded by the genetic and phenotypic complexity of reproductive processes. Here we describe an association- and linkage-free approach to identify segregating infertility alleles, in which CRISPR/Cas9 genome editing is used to model putatively deleterious nonsynonymous SNPs (nsSNPs) in the mouse orthologs of fertility genes. Mice bearing "humanized" alleles of four essential meiosis genes, each predicted to be deleterious by most of the commonly used algorithms for analyzing functional SNP consequences, were examined for fertility and reproductive defects. Only a Cdk2 allele mimicking SNP rs3087335, which alters an inhibitory WEE1 protein kinase phosphorylation site, caused infertility and revealed a novel function in regulating spermatogonial stem cell maintenance. Our data indicate that segregating infertility alleles exist in human populations. Furthermore, whereas computational prediction of SNP effects is useful for identifying candidate causal mutations for diverse diseases, this study underscores the need for in vivo functional evaluation of physiological consequences. This approach can revolutionize personalized reproductive genetics by establishing a permanent reference of benign vs. infertile alleles.

Indexed as

MutationPolymorphism, Single NucleotideAlgorithmsAllelesAnimalsBinding SitesClustered Regularly Interspaced Short Palindromic RepeatsCyclin-Dependent Kinase 2FemaleGenetic VariationHumansInfertility, FemaleInfertility, MaleMaleMeiosisMiceCDK2 protein, humanCdk2 protein, mouseCyclin-Dependent Kinase 2CRISPR/Cas9cyclingenome editingmeiosisspermatogenesis

Identifiers

PMID26240362
PMCPMC4547237
OpenAlexW2157603578

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.