
doi: 10.1136/bmj.e5908
pmid: 22990995
#### Summary points Preimplantation genetic (PG) testing is the practice of obtaining a cellular biopsy sample from a developing human oocyte or embryo, acquired via a cycle of in vitro fertilisation (IVF); evaluating the genetic composition of this sample; and using this information to determine which embryos will be optimal for subsequent uterine transfer. PG testing was first described in 1990 when the sex of cleavage stage embryos in two couples, both with X linked diseases, was determined.1 The applications and use of various types of PG testing have continued to increase. However, the benefits and limitations of PG testing, both in popular culture and the medical community, are often misunderstood. This article reviews the technologies available in PG testing, and discusses the risks, ethical considerations, appropriateness, and controversy surrounding its use in different clinical situations. #### Sources and selection criteria The information sources used to compile this …
Genetic Diseases, Inborn, Humans, Mass Screening, Embryo Implantation, Fertilization in Vitro, Genetic Testing, Diagnostic Errors, Risk Assessment, Preimplantation Diagnosis
Genetic Diseases, Inborn, Humans, Mass Screening, Embryo Implantation, Fertilization in Vitro, Genetic Testing, Diagnostic Errors, Risk Assessment, Preimplantation Diagnosis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 88 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
