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Genetic Risk Scores and Missing Heritability in Ovarian Cancer

Ovarian cancers are curable by surgical resection when discovered early. Unfortunately, most ovarian cancers are diagnosed in the later stages. One strategy to identify early ovarian tumors is to screen women who have the highest risk. This opinion article summarizes the accuracy of different method...

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Detalles Bibliográficos
Autores principales: Fatapour, Yasaman, Brody, James P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048518/
https://www.ncbi.nlm.nih.gov/pubmed/36981032
http://dx.doi.org/10.3390/genes14030762
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author Fatapour, Yasaman
Brody, James P.
author_facet Fatapour, Yasaman
Brody, James P.
author_sort Fatapour, Yasaman
collection PubMed
description Ovarian cancers are curable by surgical resection when discovered early. Unfortunately, most ovarian cancers are diagnosed in the later stages. One strategy to identify early ovarian tumors is to screen women who have the highest risk. This opinion article summarizes the accuracy of different methods used to assess the risk of developing ovarian cancer, including family history, BRCA genetic tests, and polygenic risk scores. The accuracy of these is compared to the maximum theoretical accuracy, revealing a substantial gap. We suggest that this gap, or missing heritability, could be caused by epistatic interactions between genes. An alternative approach to computing genetic risk scores, using chromosomal-scale length variation should incorporate epistatic interactions. Future research in this area should focus on this and other alternative methods of characterizing genomes.
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spelling pubmed-100485182023-03-29 Genetic Risk Scores and Missing Heritability in Ovarian Cancer Fatapour, Yasaman Brody, James P. Genes (Basel) Opinion Ovarian cancers are curable by surgical resection when discovered early. Unfortunately, most ovarian cancers are diagnosed in the later stages. One strategy to identify early ovarian tumors is to screen women who have the highest risk. This opinion article summarizes the accuracy of different methods used to assess the risk of developing ovarian cancer, including family history, BRCA genetic tests, and polygenic risk scores. The accuracy of these is compared to the maximum theoretical accuracy, revealing a substantial gap. We suggest that this gap, or missing heritability, could be caused by epistatic interactions between genes. An alternative approach to computing genetic risk scores, using chromosomal-scale length variation should incorporate epistatic interactions. Future research in this area should focus on this and other alternative methods of characterizing genomes. MDPI 2023-03-21 /pmc/articles/PMC10048518/ /pubmed/36981032 http://dx.doi.org/10.3390/genes14030762 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Opinion
Fatapour, Yasaman
Brody, James P.
Genetic Risk Scores and Missing Heritability in Ovarian Cancer
title Genetic Risk Scores and Missing Heritability in Ovarian Cancer
title_full Genetic Risk Scores and Missing Heritability in Ovarian Cancer
title_fullStr Genetic Risk Scores and Missing Heritability in Ovarian Cancer
title_full_unstemmed Genetic Risk Scores and Missing Heritability in Ovarian Cancer
title_short Genetic Risk Scores and Missing Heritability in Ovarian Cancer
title_sort genetic risk scores and missing heritability in ovarian cancer
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048518/
https://www.ncbi.nlm.nih.gov/pubmed/36981032
http://dx.doi.org/10.3390/genes14030762
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