ReviewJournal of medical genetics2019
Genetic diagnosis of subfertility: the impact of meiosis and maternal effects.
Review in Journal of medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 18 citations in OpenAlex.
- MicroRNA dysregulation in male infertility: Insights into mechanisms, biomarkers, and therapeutic strategies- review.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Review
- ICSI and PGT-A in PCOS phenotype-D patients: a matched case-control study versus idiopathic infertile women.Journal of assisted reproduction and genetics · 2024Article
- Defects in meiosis I contribute to the genesis of androgenetic hydatidiform moles.The Journal of clinical investigation · 2024Article
- Maternal effect genes as risk factors for congenital heart defects.HGG advances · 2022Article
- Maternal effect genes: Update and review of evidence for a link with birth defects.HGG advances · 2022Review
- Further Introduction of DNA Methylation (DNAm) Arrays in Regular Diagnostics.Frontiers in genetics · 2022Review
- Coiled-Coil Domain-Containing (CCDC) Proteins: Functional Roles in General and Male Reproductive Physiology.Reproductive sciences (Thousand Oaks, Calif.) · 2021Review
- Contributions of Flow Cytometry to the Molecular Study of Spermatogenesis in Mammals.International journal of molecular sciences · 2021Review
- Transcriptomics of Meiosis in the Male Mouse.Frontiers in cell and developmental biology · 2021Review
- Crossover patterns under meiotic chromosome program.Asian journal of andrologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 4 countries.
Funding
Abstract
During reproductive age, approximately one in seven couples are confronted with fertility problems. While the aetiology is diverse, including infections, metabolic diseases, hormonal imbalances and iatrogenic effects, it is becoming increasingly clear that genetic factors have a significant contribution. Due to the complex nature of infertility that often hints at a multifactorial cause, the search for potentially causal gene mutations in idiopathic infertile couples has remained difficult. Idiopathic infertility patients with a suspicion of an underlying genetic cause can be expected to have mutations in genes that do not readily affect general health but are only essential in certain processes connected to fertility. In this review, we specifically focus on genes involved in meiosis and maternal-effect processes, which are of critical importance for reproduction and initial embryonic development. We give an overview of genes that have already been linked to infertility in human, as well as good candidates which have been described in other organisms. Finally, we propose a phenotypic range in which we expect an optimal diagnostic yield of a meiotic/maternal-effect gene panel.
Indexed as
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.