ReviewTrends in molecular medicine2021
Strategies to Identify Genetic Variants Causing Infertility.
Review in Trends in molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Loss of DLGAP5 impairs human and mouse oocyte maturation via disrupting the PI3K-AKT signaling axis.Journal of ovarian research · 2026Article
- The role of satellite DNA-enriched heterochromatic variants in reproductive disorders: Insights from standardized cytogenetic analysis.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2026Article
- Genetic alterations in poor-quality individually selected sperm highlight candidate biomarkers for male subfertility.Scientific reports · 2026Article
- Electroacupuncture ameliorates embryo implantation dysfunction in mice via miR-30c-5p.Frontiers in endocrinology · 2026Article
- Advanced maternal age and assisted reproductive technologies: outcomes, genomics, and real-world evidence.Frontiers in reproductive health · 2026Review
- A primordial germ cell-like-cell platform enables CRISPRi screen for epigenetic fertility modifiers.EMBO reports · 2025Article
- Review
- Article
- Effects of acupuncture and moxibustion therapy on endometrial receptivity of infertile women withFrontiers in medicine · 2025Review
- Genomic aspects in reproductive medicine.Clinical and experimental reproductive medicine · 2024Article
- Gene-knockout by iSTOP enables rapid reproductive disease modeling and phenotyping in germ cells of the founder generation.Science China. Life sciences · 2024Article
- Whole transcriptome screening for novel genes involved in meiosis and fertility in Drosophila melanogaster.Scientific reports · 2024Article
- Dnali1 is required for sperm motility and male fertility in mice.Basic and clinical andrology · 2023Article
- Reproductive genomics of the mouse: implications for human fertility and infertility.Development (Cambridge, England) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Genetic causes are thought to underlie about half of infertility cases, but understanding the genetic bases has been a major challenge. Modern genomics tools allow more sophisticated exploration of genetic causes of infertility through population, family-based, and individual studies. Nevertheless, potential therapies based on genetic diagnostics will be limited until there is certainty regarding the causality of genetic variants identified in an individual. Genome modulation and editing technologies have revolutionized our ability to functionally test such variants, and also provide a potential means for clinical correction of infertility variants. This review addresses strategies being used to identify causative variants of infertility.
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Identifiers
What OpenQuestion holds
Registered trials
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.