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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10048518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fatapouryasaman geneticriskscoresandmissingheritabilityinovariancancer AT brodyjamesp geneticriskscoresandmissingheritabilityinovariancancer |