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RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency

 : Primary ovarian insufficiency (POI) is characterized by a heterogeneous genetic background. Moreover, the etiology of most POI cases remains unclear. Herein, our goal was to investigate the presence of rare deletions or duplications in patients presenting with POI, which could lead to identificat...

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Autores principales: Franca, Monica, Moraes, Daniela, Krepischi, Ana, Faria-Jr, Jose, Costa, Elaine, Hayashida, Sylvia, Maciel, Gustavo, Costa, Silvia, Kulikowski, Leslie, Jorge, Alexsander, Mendonca, Berenice, Domenice, Sorahia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9625244/
http://dx.doi.org/10.1210/jendso/bvac150.1473
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author Franca, Monica
Moraes, Daniela
Franca, Monica
Krepischi, Ana
Faria-Jr, Jose
Costa, Elaine
Hayashida, Sylvia
Maciel, Gustavo
Costa, Silvia
Kulikowski, Leslie
Jorge, Alexsander
Mendonca, Berenice
Domenice, Sorahia
author_facet Franca, Monica
Moraes, Daniela
Franca, Monica
Krepischi, Ana
Faria-Jr, Jose
Costa, Elaine
Hayashida, Sylvia
Maciel, Gustavo
Costa, Silvia
Kulikowski, Leslie
Jorge, Alexsander
Mendonca, Berenice
Domenice, Sorahia
author_sort Franca, Monica
collection PubMed
description  : Primary ovarian insufficiency (POI) is characterized by a heterogeneous genetic background. Moreover, the etiology of most POI cases remains unclear. Herein, our goal was to investigate the presence of rare deletions or duplications in patients presenting with POI, which could lead to identification of novel chromosomal regions and/or genes potentially associated with disease risk. PATIENTS AND METHODS: Sixty-six patients presenting idiopathic POI were evaluated; 44 had primary amenorrhea and 22 secondary amenorrhea. Chromosomal microarray analysis was performed to detect copy number variants (CNVs) using array-CGH or SNP-array. Identified CNVs were validated by population databases of either health individuals (Database of Genomic Variants - DGV) or patients carrying chromosomal structural alterations (DECIPHER). A set of rare CNVs was selected and annotated in regard to gene content and clinical associations using bioinformatic tools (RefSeq, OMIM, PubMed, Ovarian Kaleidoscope Database, and Mouse Genome Informatics). RESULTS: Fifteen rare CNVs were found in 13 patients, ten of them with primary amenorrhea. The identified CNVs comprised four deleted and 11 duplicated regions, in which the break points occurred intragenic in 8 of them. Most of the CNVs were mapped in the autosomes. Seven CNVs identified in 5 patients were classified as pathogenic or probably pathogenic; three were novel variants containing candidate genes associated with ovarian development [19q13.43 (NLRP5) and Xq13.2 (XIST)] or function [(2q37.3 (PER2)]. The other pathogenic CNVs were previously implicated in POI etiology; two of them [Xq27.2q28 del (14.5 Mb) and Xq22.1q27.1 dup (41.4 Mb)] were encompassed in a complex chromosome rearrangement, associated with 20p13 dup (2.7 Mb), and the last region was 15q25.2 deletion. Four VUS containing genes associated with ovarian development [2p23.1 (XDH and EHD3), 9p24.1 (KDM4C), 22q12.1 (ZNRF3)] or function [1p31.1 (PTGFR)] were identified. CONCLUSION: CNVs analysis indicated a genetic etiology in 10% of these POI patients. New candidate genes associated with ovarian development and function were revealed. Presentation: Monday, June 13, 2022 12:30 p.m. - 2:30 p.m., Monday, June 13, 2022 12:54 p.m. - 12:59 p.m.
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spelling pubmed-96252442022-11-14 RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency Franca, Monica Moraes, Daniela Franca, Monica Krepischi, Ana Faria-Jr, Jose Costa, Elaine Hayashida, Sylvia Maciel, Gustavo Costa, Silvia Kulikowski, Leslie Jorge, Alexsander Mendonca, Berenice Domenice, Sorahia J Endocr Soc Reproductive Endocrinology  : Primary ovarian insufficiency (POI) is characterized by a heterogeneous genetic background. Moreover, the etiology of most POI cases remains unclear. Herein, our goal was to investigate the presence of rare deletions or duplications in patients presenting with POI, which could lead to identification of novel chromosomal regions and/or genes potentially associated with disease risk. PATIENTS AND METHODS: Sixty-six patients presenting idiopathic POI were evaluated; 44 had primary amenorrhea and 22 secondary amenorrhea. Chromosomal microarray analysis was performed to detect copy number variants (CNVs) using array-CGH or SNP-array. Identified CNVs were validated by population databases of either health individuals (Database of Genomic Variants - DGV) or patients carrying chromosomal structural alterations (DECIPHER). A set of rare CNVs was selected and annotated in regard to gene content and clinical associations using bioinformatic tools (RefSeq, OMIM, PubMed, Ovarian Kaleidoscope Database, and Mouse Genome Informatics). RESULTS: Fifteen rare CNVs were found in 13 patients, ten of them with primary amenorrhea. The identified CNVs comprised four deleted and 11 duplicated regions, in which the break points occurred intragenic in 8 of them. Most of the CNVs were mapped in the autosomes. Seven CNVs identified in 5 patients were classified as pathogenic or probably pathogenic; three were novel variants containing candidate genes associated with ovarian development [19q13.43 (NLRP5) and Xq13.2 (XIST)] or function [(2q37.3 (PER2)]. The other pathogenic CNVs were previously implicated in POI etiology; two of them [Xq27.2q28 del (14.5 Mb) and Xq22.1q27.1 dup (41.4 Mb)] were encompassed in a complex chromosome rearrangement, associated with 20p13 dup (2.7 Mb), and the last region was 15q25.2 deletion. Four VUS containing genes associated with ovarian development [2p23.1 (XDH and EHD3), 9p24.1 (KDM4C), 22q12.1 (ZNRF3)] or function [1p31.1 (PTGFR)] were identified. CONCLUSION: CNVs analysis indicated a genetic etiology in 10% of these POI patients. New candidate genes associated with ovarian development and function were revealed. Presentation: Monday, June 13, 2022 12:30 p.m. - 2:30 p.m., Monday, June 13, 2022 12:54 p.m. - 12:59 p.m. Oxford University Press 2022-11-01 /pmc/articles/PMC9625244/ http://dx.doi.org/10.1210/jendso/bvac150.1473 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 Reproductive Endocrinology
Franca, Monica
Moraes, Daniela
Franca, Monica
Krepischi, Ana
Faria-Jr, Jose
Costa, Elaine
Hayashida, Sylvia
Maciel, Gustavo
Costa, Silvia
Kulikowski, Leslie
Jorge, Alexsander
Mendonca, Berenice
Domenice, Sorahia
RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency
title RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency
title_full RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency
title_fullStr RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency
title_full_unstemmed RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency
title_short RF34 | PMON203 Copy Number Variant Analysis Reveals Novel Candidate Genes Associated with Primary Ovarian Insufficiency
title_sort rf34 | pmon203 copy number variant analysis reveals novel candidate genes associated with primary ovarian insufficiency
topic Reproductive Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9625244/
http://dx.doi.org/10.1210/jendso/bvac150.1473
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