Precise, Genotype-First Breast Cancer Prevention: Experience With Transferring Monogenic Findings From a Population Biobank to the Clinical Setting

Although hereditary breast cancer screening and management are well accepted and established in clinical settings, these efforts result in the detection of only a fraction of genetic predisposition at the population level. Here, we describe our experience from a national pilot study (2018–2021) in w...

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Vydáno v:	Frontiers in genetics Ročník 13; s. 881100
Hlavní autoři:	Jürgens, Hannes, Roht, Laura, Leitsalu, Liis, Nõukas, Margit, Palover, Marili, Nikopensius, Tiit, Reigo, Anu, Kals, Mart, Kallak, Kersti, Kütner, Riina, Budrikas, Kai, Kuusk, Saskia, Valvere, Vahur, Laidre, Piret, Toome, Kadri, Rekker, Kadri, Tooming, Mikk, Ülle Murumets, Kahre, Tiina, Kruuv-Käo, Krista, Õunap, Katrin, Padrik, Peeter, Metspalu, Andres, Esko, Tõnu, Fischer, Krista, Tõnisson, Neeme
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 22.07.2022
Témata:	clinical practice personalized medicine Genetics genotype-first approach precision screening research findings/results in healthcare return of results to biobank participants return of results to biobank participants research findings/results in healthcare clinical practice personalized medicine genotype-first approach precision screening
ISSN:	1664-8021, 1664-8021
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Popis
Shrnutí:	Although hereditary breast cancer screening and management are well accepted and established in clinical settings, these efforts result in the detection of only a fraction of genetic predisposition at the population level. Here, we describe our experience from a national pilot study (2018–2021) in which 180 female participants of Estonian biobank (of >150,000 participants in total) were re-contacted to discuss personalized clinical prevention measures based on their genetic predisposition defined by 11 breast cancer–related genes. Our results show that genetic risk variants are relatively common in the average-risk Estonian population. Seventy-five percent of breast cancer cases in at-risk subjects occurred before the age of 50 years. Only one-third of subjects would have been eligible for clinical screening according to the current criteria. The participants perceived the receipt of genetic risk information as valuable. Fluent cooperation of project teams supported by state-of-art data management, quality control, and secure transfer can enable the integration of research results to everyday medical practice in a highly efficient, timely, and well-accepted manner. The positive experience in this genotype-first breast cancer study confirms the value of using existing basic genomic data from population biobanks for precise prevention.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Kelvin Yuen-Kwong Chan, Hong Kong Genome Institute (HKGI), Hong Kong, SAR China This article was submitted to Human and Medical Genomics, a section of the journal Frontiers in Genetics Reviewed by: Valentina Silvestri, Sapienza University of Rome, Italy Qi Guo, Benevolent AI, United Kingdom
ISSN:	1664-8021 1664-8021
DOI:	10.3389/fgene.2022.881100