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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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.
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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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