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Assessing the digenic model in rare disorders using population sequencing data
An important fraction of patients with rare disorders remains with no clear genetic diagnostic, even after whole-exome or whole-genome sequencing, posing a difficulty in giving adequate treatment and genetic counseling. The analysis of genomic data in rare disorders mostly considers the presence of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712436/ https://www.ncbi.nlm.nih.gov/pubmed/36192439 http://dx.doi.org/10.1038/s41431-022-01191-x |
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author | Moreno-Ruiz, Nerea Lao, Oscar Aróstegui, Juan Ignacio Laayouni, Hafid Casals, Ferran |
author_facet | Moreno-Ruiz, Nerea Lao, Oscar Aróstegui, Juan Ignacio Laayouni, Hafid Casals, Ferran |
author_sort | Moreno-Ruiz, Nerea |
collection | PubMed |
description | An important fraction of patients with rare disorders remains with no clear genetic diagnostic, even after whole-exome or whole-genome sequencing, posing a difficulty in giving adequate treatment and genetic counseling. The analysis of genomic data in rare disorders mostly considers the presence of single gene variants in coding regions that follow a concrete monogenic mode of inheritance. A digenic inheritance, with variants in two functionally-related genes in the same individual, is a plausible alternative that might explain the genetic basis of the disease in some cases. In this case, digenic disease combinations should be absent or underrepresented in healthy individuals. We develop a framework to evaluate the significance of digenic combinations and test its statistical power in different scenarios. We suggest that this approach will be relevant with the advent of new sequencing efforts including hundreds of thousands of samples. |
format | Online Article Text |
id | pubmed-9712436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97124362022-12-02 Assessing the digenic model in rare disorders using population sequencing data Moreno-Ruiz, Nerea Lao, Oscar Aróstegui, Juan Ignacio Laayouni, Hafid Casals, Ferran Eur J Hum Genet Brief Communication An important fraction of patients with rare disorders remains with no clear genetic diagnostic, even after whole-exome or whole-genome sequencing, posing a difficulty in giving adequate treatment and genetic counseling. The analysis of genomic data in rare disorders mostly considers the presence of single gene variants in coding regions that follow a concrete monogenic mode of inheritance. A digenic inheritance, with variants in two functionally-related genes in the same individual, is a plausible alternative that might explain the genetic basis of the disease in some cases. In this case, digenic disease combinations should be absent or underrepresented in healthy individuals. We develop a framework to evaluate the significance of digenic combinations and test its statistical power in different scenarios. We suggest that this approach will be relevant with the advent of new sequencing efforts including hundreds of thousands of samples. Springer International Publishing 2022-10-03 2022-12 /pmc/articles/PMC9712436/ /pubmed/36192439 http://dx.doi.org/10.1038/s41431-022-01191-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Brief Communication Moreno-Ruiz, Nerea Lao, Oscar Aróstegui, Juan Ignacio Laayouni, Hafid Casals, Ferran Assessing the digenic model in rare disorders using population sequencing data |
title | Assessing the digenic model in rare disorders using population sequencing data |
title_full | Assessing the digenic model in rare disorders using population sequencing data |
title_fullStr | Assessing the digenic model in rare disorders using population sequencing data |
title_full_unstemmed | Assessing the digenic model in rare disorders using population sequencing data |
title_short | Assessing the digenic model in rare disorders using population sequencing data |
title_sort | assessing the digenic model in rare disorders using population sequencing data |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712436/ https://www.ncbi.nlm.nih.gov/pubmed/36192439 http://dx.doi.org/10.1038/s41431-022-01191-x |
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