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Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation
Müllerian duct anomalies (MDAs) are developmental disorders of the Müllerian duct, the embryonic anlage of most of the female reproductive tract. The prevalence of MDAs is 6.7% in the general female population and 16.7% in women who exhibit recurrent miscarriages. Individuals affected by these anoma...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Company of Biologists Ltd
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246269/ https://www.ncbi.nlm.nih.gov/pubmed/34160006 http://dx.doi.org/10.1242/dmm.047977 |
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author | Santana González, Laura Artibani, Mara Ahmed, Ahmed Ashour |
author_facet | Santana González, Laura Artibani, Mara Ahmed, Ahmed Ashour |
author_sort | Santana González, Laura |
collection | PubMed |
description | Müllerian duct anomalies (MDAs) are developmental disorders of the Müllerian duct, the embryonic anlage of most of the female reproductive tract. The prevalence of MDAs is 6.7% in the general female population and 16.7% in women who exhibit recurrent miscarriages. Individuals affected by these anomalies suffer from high rates of infertility, first-trimester pregnancy losses, premature labour, placental retention, foetal growth retardation and foetal malpresentations. The aetiology of MDAs is complex and heterogeneous, displaying a range of clinical pictures that generally lack a direct genotype-phenotype correlation. De novo and familial cases sharing the same genomic lesions have been reported. The familial cases follow an autosomal-dominant inheritance, with reduced penetrance and variable expressivity. Furthermore, few genetic factors and molecular pathways underpinning Müllerian development and dysregulations causing MDAs have been identified. The current knowledge in this field predominantly derives from loss-of-function experiments in mouse and chicken models, as well as from human genetic association studies using traditional approaches, such as microarrays and Sanger sequencing, limiting the discovery of causal factors to few genetic entities from the coding genome. In this Review, we summarise the current state of the field, discuss limitations in the number of studies and patient samples that have stalled progress, and review how the development of new technologies provides a unique opportunity to overcome these limitations. Furthermore, we discuss how these new technologies can improve functional validation of potential causative alterations in MDAs. |
format | Online Article Text |
id | pubmed-8246269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Company of Biologists Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-82462692021-07-06 Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation Santana González, Laura Artibani, Mara Ahmed, Ahmed Ashour Dis Model Mech Review Müllerian duct anomalies (MDAs) are developmental disorders of the Müllerian duct, the embryonic anlage of most of the female reproductive tract. The prevalence of MDAs is 6.7% in the general female population and 16.7% in women who exhibit recurrent miscarriages. Individuals affected by these anomalies suffer from high rates of infertility, first-trimester pregnancy losses, premature labour, placental retention, foetal growth retardation and foetal malpresentations. The aetiology of MDAs is complex and heterogeneous, displaying a range of clinical pictures that generally lack a direct genotype-phenotype correlation. De novo and familial cases sharing the same genomic lesions have been reported. The familial cases follow an autosomal-dominant inheritance, with reduced penetrance and variable expressivity. Furthermore, few genetic factors and molecular pathways underpinning Müllerian development and dysregulations causing MDAs have been identified. The current knowledge in this field predominantly derives from loss-of-function experiments in mouse and chicken models, as well as from human genetic association studies using traditional approaches, such as microarrays and Sanger sequencing, limiting the discovery of causal factors to few genetic entities from the coding genome. In this Review, we summarise the current state of the field, discuss limitations in the number of studies and patient samples that have stalled progress, and review how the development of new technologies provides a unique opportunity to overcome these limitations. Furthermore, we discuss how these new technologies can improve functional validation of potential causative alterations in MDAs. The Company of Biologists Ltd 2021-06-23 /pmc/articles/PMC8246269/ /pubmed/34160006 http://dx.doi.org/10.1242/dmm.047977 Text en © 2021. Published by The Company of Biologists Ltd 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 that the original work is properly attributed. |
spellingShingle | Review Santana González, Laura Artibani, Mara Ahmed, Ahmed Ashour Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
title | Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
title_full | Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
title_fullStr | Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
title_full_unstemmed | Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
title_short | Studying Müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
title_sort | studying müllerian duct anomalies – from cataloguing phenotypes to discovering causation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246269/ https://www.ncbi.nlm.nih.gov/pubmed/34160006 http://dx.doi.org/10.1242/dmm.047977 |
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