ReviewMolecular human reproduction2014
The future for genetic studies in reproduction.
Review in Molecular human reproduction, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 0 citations in OpenAlex.
- Trial
- Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026Review
- Review
- Genetics of female and male reproductive traits and their relationship with health, longevity and consequences for offspring.Nature aging · 2024Review
- H1299R Variant in Factor V and Recurrent Pregnancy Loss: A Systematic Review and Meta-Analysis Protocol.Genes · 2022Article
- Aberrant Notch Signaling Pathway as a Potential Mechanism of Central Precocious Puberty.International journal of molecular sciences · 2022Review
- Cancer driver mutations in endometriosis: Variations on the major theme of fibrogenesis.Reproductive medicine and biology · 2018Review
- Complex genetics of female fertility.NPJ genomic medicine · 2018Review
- Expanded Somatic Mutation Spectrum of MED12 Gene in Uterine Leiomyomas of Saudi Arabian Women.Frontiers in genetics · 2018Article
- Relevant human tissue resources and laboratory models for use in endometriosis research.Acta obstetricia et gynecologica Scandinavica · 2017Review
- Genome-wide genetic analyses highlight mitogen-activated protein kinase (MAPK) signaling in the pathogenesis of endometriosis.Human reproduction (Oxford, England) · 2017Article
- Research Priorities for Endometriosis.Reproductive sciences (Thousand Oaks, Calif.) · 2017Article
- Article
- Review
- Detection of mutations in theBalkan journal of medical genetics : BJMG · 2015Article
- Effects of increased paternal age on sperm quality, reproductive outcome and associated epigenetic risks to offspring.Reproductive biology and endocrinology : RB&E · 2015Review
- Clinically relevant known and candidate genes for obesity and their overlap with human infertility and reproduction.Journal of assisted reproduction and genetics · 2015Review
- The Biodemography of Fertility: A Review and Future Research Frontiers.Kolner Zeitschrift fur Soziologie und SozialpsychologieArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Genetic factors contribute to risk of many common diseases affecting reproduction and fertility. In recent years, methods for genome-wide association studies (GWAS) have revolutionized gene discovery for common traits and diseases. Results of GWAS are documented in the Catalog of Published Genome-Wide Association Studies at the National Human Genome Research Institute and report over 70 publications for 32 traits and diseases associated with reproduction. These include endometriosis, uterine fibroids, age at menarche and age at menopause. Results that pass appropriate stringent levels of significance are generally well replicated in independent studies. Examples of genetic variation affecting twinning rate, infertility, endometriosis and age at menarche demonstrate that the spectrum of disease-related variants for reproductive traits is similar to most other common diseases. GWAS 'hits' provide novel insights into biological pathways and the translational value of these studies lies in discovery of novel gene targets for biomarkers, drug development and greater understanding of environmental factors contributing to disease risk. Results also show that genetic data can help define sub-types of disease and co-morbidity with other traits and diseases. To date, many studies on reproductive traits have used relatively small samples. Future genetic marker studies in large samples with detailed phenotypic and clinical information will yield new insights into disease risk, disease classification and co-morbidity for many diseases associated with reproduction and infertility.
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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.