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High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort
CONTEXT: Polycystic ovary syndrome (PCOS) etiology remains to be elucidated, but familial clustering and twin studies have shown a strong heritable component. OBJECTIVE: The purpose of this study was to identify rare genetic variants that are associated with the etiology of PCOS in a preselected coh...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309801/ https://www.ncbi.nlm.nih.gov/pubmed/35898701 http://dx.doi.org/10.1210/jendso/bvac106 |
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author | Crespo, Raiane P Rocha, Thais P Montenegro, Luciana R Nishi, Mirian Y Jorge, Alexander A L Maciel, Gustavo A R Baracat, Edmund Latronico, Ana Claudia Mendonca, Berenice B Gomes, Larissa G |
author_facet | Crespo, Raiane P Rocha, Thais P Montenegro, Luciana R Nishi, Mirian Y Jorge, Alexander A L Maciel, Gustavo A R Baracat, Edmund Latronico, Ana Claudia Mendonca, Berenice B Gomes, Larissa G |
author_sort | Crespo, Raiane P |
collection | PubMed |
description | CONTEXT: Polycystic ovary syndrome (PCOS) etiology remains to be elucidated, but familial clustering and twin studies have shown a strong heritable component. OBJECTIVE: The purpose of this study was to identify rare genetic variants that are associated with the etiology of PCOS in a preselected cohort. METHODS: This prospective study was conducted among a selected group of women with PCOS. The study’s inclusion criteria were patients with PCOS diagnosed by the Rotterdam criteria with the following phenotypes: severe insulin resistance (IR), normoandrogenic–normometabolic phenotype, adrenal hyperandrogenism, primary amenorrhea, and familial PCOS. Forty-five patients were studied by target sequencing, while 8 familial cases were studied by whole exome sequencing. RESULTS: Patients were grouped according to the inclusion criteria with the following distribution: 22 (41.5%) with severe IR, 13 (24.5%) with adrenal hyperandrogenism, 7 (13.2%) with normoandrogenic phenotype, 3 (5.7%) with primary amenorrhea, and 8 (15.1%) familial cases. DNA sequencing analysis identified 1 pathogenic variant in LMNA, 3 likely pathogenic variants in INSR, PIK3R1, and DLK1, and 6 variants of uncertain significance level with interesting biologic rationale in 5 genes (LMNA, GATA4, NR5A1, BMP15, and FSHR). LMNA was the most prevalent affected gene in this cohort (3 variants). CONCLUSION: Several rare variants in genes related to IR were identified in women with PCOS. Although IR is a common feature of PCOS, patients with extreme or atypical phenotype should be carefully evaluated to rule out monogenic conditions. |
format | Online Article Text |
id | pubmed-9309801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93098012022-07-26 High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort Crespo, Raiane P Rocha, Thais P Montenegro, Luciana R Nishi, Mirian Y Jorge, Alexander A L Maciel, Gustavo A R Baracat, Edmund Latronico, Ana Claudia Mendonca, Berenice B Gomes, Larissa G J Endocr Soc Clinical Research Article CONTEXT: Polycystic ovary syndrome (PCOS) etiology remains to be elucidated, but familial clustering and twin studies have shown a strong heritable component. OBJECTIVE: The purpose of this study was to identify rare genetic variants that are associated with the etiology of PCOS in a preselected cohort. METHODS: This prospective study was conducted among a selected group of women with PCOS. The study’s inclusion criteria were patients with PCOS diagnosed by the Rotterdam criteria with the following phenotypes: severe insulin resistance (IR), normoandrogenic–normometabolic phenotype, adrenal hyperandrogenism, primary amenorrhea, and familial PCOS. Forty-five patients were studied by target sequencing, while 8 familial cases were studied by whole exome sequencing. RESULTS: Patients were grouped according to the inclusion criteria with the following distribution: 22 (41.5%) with severe IR, 13 (24.5%) with adrenal hyperandrogenism, 7 (13.2%) with normoandrogenic phenotype, 3 (5.7%) with primary amenorrhea, and 8 (15.1%) familial cases. DNA sequencing analysis identified 1 pathogenic variant in LMNA, 3 likely pathogenic variants in INSR, PIK3R1, and DLK1, and 6 variants of uncertain significance level with interesting biologic rationale in 5 genes (LMNA, GATA4, NR5A1, BMP15, and FSHR). LMNA was the most prevalent affected gene in this cohort (3 variants). CONCLUSION: Several rare variants in genes related to IR were identified in women with PCOS. Although IR is a common feature of PCOS, patients with extreme or atypical phenotype should be carefully evaluated to rule out monogenic conditions. Oxford University Press 2022-07-05 /pmc/articles/PMC9309801/ /pubmed/35898701 http://dx.doi.org/10.1210/jendso/bvac106 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Research Article Crespo, Raiane P Rocha, Thais P Montenegro, Luciana R Nishi, Mirian Y Jorge, Alexander A L Maciel, Gustavo A R Baracat, Edmund Latronico, Ana Claudia Mendonca, Berenice B Gomes, Larissa G High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort |
title | High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort |
title_full | High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort |
title_fullStr | High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort |
title_full_unstemmed | High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort |
title_short | High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort |
title_sort | high-throughput sequencing to identify monogenic etiologies in a preselected polycystic ovary syndrome cohort |
topic | Clinical Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309801/ https://www.ncbi.nlm.nih.gov/pubmed/35898701 http://dx.doi.org/10.1210/jendso/bvac106 |
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