{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T20:56:01Z","timestamp":1791665761134,"version":"4.3.4"},"reference-count":45,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genes"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/genes12081105","type":"journal-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T23:19:51Z","timestamp":1626823191000},"page":"1105","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Embryo Screening for Polygenic Disease Risk: Recent Advances and Ethical Considerations"],"prefix":"10.3390","volume":"12","author":[{"given":"Laurent C. A. M.","family":"Tellier","sequence":"first","affiliation":[{"name":"Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA"},{"name":"Genomic Prediction, Inc., North Brunswick, NJ 08902, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Eccles","sequence":"additional","affiliation":[{"name":"Genomic Prediction, Inc., North Brunswick, NJ 08902, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan R.","family":"Treff","sequence":"additional","affiliation":[{"name":"Genomic Prediction, Inc., North Brunswick, NJ 08902, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louis","family":"Lello","sequence":"additional","affiliation":[{"name":"Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA"},{"name":"Genomic Prediction, Inc., North Brunswick, NJ 08902, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Fishel","sequence":"additional","affiliation":[{"name":"CARE Fertility Group, Nottingham NG8 6PZ, UK"},{"name":"School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool L2 2QP, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Hsu","sequence":"additional","affiliation":[{"name":"Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USA"},{"name":"Genomic Prediction, Inc., North Brunswick, NJ 08902, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"P133","DOI":"10.1016\/j.rbmo.2018.12.001","article-title":"Towards the global coverage of a unified registry of IVF outcomes","volume":"38","author":"Fauser","year":"2019","journal-title":"Reprod. 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