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Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2

There have been many surveys of genetic variation in BRCA1 and BRCA2 to identify variant prevalence and catalogue population specific variants, yet none have evaluated the magnitude of unobserved variation. We applied species richness estimation methods from ecology to estimate “variant richness” an...

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Autores principales: Rao, Nandana D., Shirts, Brian H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907816/
https://www.ncbi.nlm.nih.gov/pubmed/36753473
http://dx.doi.org/10.1371/journal.pone.0278010
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author Rao, Nandana D.
Shirts, Brian H.
author_facet Rao, Nandana D.
Shirts, Brian H.
author_sort Rao, Nandana D.
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description There have been many surveys of genetic variation in BRCA1 and BRCA2 to identify variant prevalence and catalogue population specific variants, yet none have evaluated the magnitude of unobserved variation. We applied species richness estimation methods from ecology to estimate “variant richness” and determine how many germline pathogenic BRCA1/2 variants have yet to be identified and the frequency of these missing variants in different populations. We also estimated the prevalence of germline pathogenic BRCA1/2 variants and identified those expected to be most common. Data was obtained from a literature search including studies conducted globally that tested the entirety of BRCA1/2 for pathogenic variation. Across countries, 45% to 88% of variants were estimated to be missing, i.e., present in the population but not observed in study data. Estimated variant frequencies in each country showed a higher proportion of rare variants compared to recurrent variants. The median prevalence estimate of BRCA1/2 pathogenic variant carriers was 0.64%. BRCA1 c.68_69del is likely the most recurrent BRCA1/2 variant globally due to its estimated prevalence in India. Modeling variant richness using ecology methods may assist in evaluating clinical targeted assays by providing a picture of what is observed with estimates of what is still unknown.
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spelling pubmed-99078162023-02-08 Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2 Rao, Nandana D. Shirts, Brian H. PLoS One Research Article There have been many surveys of genetic variation in BRCA1 and BRCA2 to identify variant prevalence and catalogue population specific variants, yet none have evaluated the magnitude of unobserved variation. We applied species richness estimation methods from ecology to estimate “variant richness” and determine how many germline pathogenic BRCA1/2 variants have yet to be identified and the frequency of these missing variants in different populations. We also estimated the prevalence of germline pathogenic BRCA1/2 variants and identified those expected to be most common. Data was obtained from a literature search including studies conducted globally that tested the entirety of BRCA1/2 for pathogenic variation. Across countries, 45% to 88% of variants were estimated to be missing, i.e., present in the population but not observed in study data. Estimated variant frequencies in each country showed a higher proportion of rare variants compared to recurrent variants. The median prevalence estimate of BRCA1/2 pathogenic variant carriers was 0.64%. BRCA1 c.68_69del is likely the most recurrent BRCA1/2 variant globally due to its estimated prevalence in India. Modeling variant richness using ecology methods may assist in evaluating clinical targeted assays by providing a picture of what is observed with estimates of what is still unknown. Public Library of Science 2023-02-08 /pmc/articles/PMC9907816/ /pubmed/36753473 http://dx.doi.org/10.1371/journal.pone.0278010 Text en © 2023 Rao, Shirts https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rao, Nandana D.
Shirts, Brian H.
Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2
title Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2
title_full Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2
title_fullStr Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2
title_full_unstemmed Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2
title_short Using species richness calculations to model the global profile of unsampled pathogenic variants: Examples from BRCA1 and BRCA2
title_sort using species richness calculations to model the global profile of unsampled pathogenic variants: examples from brca1 and brca2
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907816/
https://www.ncbi.nlm.nih.gov/pubmed/36753473
http://dx.doi.org/10.1371/journal.pone.0278010
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