PREIMPLANTATION GENETIC TESTING: Preimplantation genetic testing for polygenic disease risk.


Journal

Reproduction (Cambridge, England)
ISSN: 1741-7899
Titre abrégé: Reproduction
Pays: England
ID NLM: 100966036

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 07 02 2020
accepted: 04 05 2020
pubmed: 16 5 2020
medline: 25 8 2021
entrez: 16 5 2020
Statut: ppublish

Résumé

Since its introduction to clinical practice, preimplantation genetic testing (PGT) has become a standard of care for couples at risk of having children with monogenic disease and for chromosomal aneuploidy to improve outcomes for patients with infertility. The primary objective of PGT is to reduce the risk of miscarriage and genetic disease and to improve the success of infertility treatment with the delivery of a healthy child. Until recently, the application of PGT to more common but complex polygenic disease was not possible, as the genetic contribution to polygenic disease has been difficult to determine, and the concept of embryo selection across multiple genetic loci has been difficult to comprehend. Several achievements, including the ability to obtain accurate, genome-wide genotypes of the human embryo and the development of population-level biobanks, have now made PGT for polygenic disease risk applicable in clinical practice. With the rapid advances in embryonic polygenic risk scoring, diverse considerations beyond technical capability have been introduced.

Identifiants

pubmed: 32413844
doi: 10.1530/REP-20-0071
pii: REP-20-0071
doi:
pii:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

A13-A17

Auteurs

Nathan R Treff (NR)

Genomic Prediction Inc., North Brunswick, New Jersey, USA.
Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers University, New Brunswick, New Jersey, USA.

Diego Marin (D)

Genomic Prediction Inc., North Brunswick, New Jersey, USA.

Louis Lello (L)

Genomic Prediction Inc., North Brunswick, New Jersey, USA.
Department of Physics and Astronomy, Michigan State University, Hannah Administration Building, East Lansing, Michigan, USA.

Stephen Hsu (S)

Genomic Prediction Inc., North Brunswick, New Jersey, USA.
Department of Physics and Astronomy, Michigan State University, Hannah Administration Building, East Lansing, Michigan, USA.

Laurent C A M Tellier (LCAM)

Genomic Prediction Inc., North Brunswick, New Jersey, USA.
Department of Physics and Astronomy, Michigan State University, Hannah Administration Building, East Lansing, Michigan, USA.

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Classifications MeSH