ArticleGenes2021
Embryo Screening for Polygenic Disease Risk: Recent Advances and Ethical Considerations.
Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- Preimplantation genetic testing for polygenic diseases: A novel paradigm in embryo selection.Biochemistry and biophysics reports · 2026Review
- Ethical and social implications of implementing polygenic embryo screening into clinical care: A scoping review.Genetics in medicine open · 2026Review
- Review
- Polygenic risk scores and embryonic screening: considerations for regulation.Journal of medical ethics · 2025Article
- Preimplantation genetic testing for polygenic disorders: Viewpoints of reproductive genetic counselors and reproductive endocrinology and infertility specialists in the United States.Journal of genetic counseling · 2025Article
- Foretelling the Future: Preimplantation Genetic Testing and the Coming of Polygenic Embryo Screening.Journal of clinical medicine · 2025Review
- Inconsistent embryo selection across polygenic score methods.Nature human behaviour · 2024Article
- Screening embryos for polygenic disease risk: a review of epidemiological, clinical, and ethical considerations.Human reproduction update · 2024Review
- Polygenic embryo screening: quo vadis?Journal of assisted reproduction and genetics · 2024Review
- Genome-wide equine preimplantation genetic testing enabled by simultaneous haplotyping and copy number detection.Scientific reports · 2024Article
- Ethical, legal, and social implications of genetic risk prediction for multifactorial disease: a narrative review identifying concerns about interpretation and use of polygenic scores.Journal of community genetics · 2023Article
- Ethical layering in AI-driven polygenic risk scores-New complexities, new challenges.Frontiers in genetics · 2023Article
- Assessing agreement between different polygenic risk scores in the UK Biobank.Scientific reports · 2022Article
- Polygenic embryo screening: four clinical considerations warrant further attention.Human reproduction (Oxford, England) · 2022Article
- Preimplantation genetic testing: A narrative review.Porto biomedical journalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Machine learning methods applied to large genomic datasets (such as those used in GWAS) have led to the creation of polygenic risk scores (PRSs) that can be used identify individuals who are at highly elevated risk for important disease conditions, such as coronary artery disease (CAD), diabetes, hypertension, breast cancer, and many more. PRSs have been validated in large population groups across multiple continents and are under evaluation for widespread clinical use in adult health. It has been shown that PRSs can be used to identify which of two individuals is at a lower disease risk, even when these two individuals are siblings from a shared family environment. The relative risk reduction (RRR) from choosing an embryo with a lower PRS (with respect to one chosen at random) can be quantified by using these sibling results. New technology for precise embryo genotyping allows more sophisticated preimplantation ranking with better results than the current method of selection that is based on morphology. We review the advances described above and discuss related ethical considerations.
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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.