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Copy Number Variations in Female Infertility in China

Copy number variation (CNV) is a main cause of male infertility, yet its influence still remains elusive in that of females. To investigate the correlation between CNV and female infertility, we applied whole-genome CNV analyses by next generation Sequencing (NGS), and analyzed 324 female infertilit...

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Autores principales: Huang, W, Wang, J, Pang, M, Zhao, Q, Kong, L, Mao, Y, Li, W, Liang, Β
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714343/
https://www.ncbi.nlm.nih.gov/pubmed/31523614
http://dx.doi.org/10.2478/bjmg-2019-0005
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author Huang, W
Wang, J
Pang, M
Zhao, Q
Kong, L
Mao, Y
Li, W
Liang, Β
author_facet Huang, W
Wang, J
Pang, M
Zhao, Q
Kong, L
Mao, Y
Li, W
Liang, Β
author_sort Huang, W
collection PubMed
description Copy number variation (CNV) is a main cause of male infertility, yet its influence still remains elusive in that of females. To investigate the correlation between CNV and female infertility, we applied whole-genome CNV analyses by next generation Sequencing (NGS), and analyzed 324 female infertility samples in Xinjiang Province, People's Republic of China. We identified 29 CNVs in total, of which 10 were novel CNVs. We found these CNVs mostly in chromosome X. The CNVs from one sample overlapped the POF1B gene that was related to premature ovarian failure (POF). The rest of these CNVs overlapped important functional genes related to neuropathy, brain, skin and retina, and the relationship between these CNVs and fertility needs to be studied further. We also found recurrent CNVs located on Xp22.31 and 22ql 1.21 in five and three cases, respectively. Our study first identified and characterized CNVs (CNVs preference, recurrent CNVs) in female infertility, also provided genetic evidence and references for future study and infertility etiology research.
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spelling pubmed-67143432019-09-13 Copy Number Variations in Female Infertility in China Huang, W Wang, J Pang, M Zhao, Q Kong, L Mao, Y Li, W Liang, Β Balkan J Med Genet Original Article Copy number variation (CNV) is a main cause of male infertility, yet its influence still remains elusive in that of females. To investigate the correlation between CNV and female infertility, we applied whole-genome CNV analyses by next generation Sequencing (NGS), and analyzed 324 female infertility samples in Xinjiang Province, People's Republic of China. We identified 29 CNVs in total, of which 10 were novel CNVs. We found these CNVs mostly in chromosome X. The CNVs from one sample overlapped the POF1B gene that was related to premature ovarian failure (POF). The rest of these CNVs overlapped important functional genes related to neuropathy, brain, skin and retina, and the relationship between these CNVs and fertility needs to be studied further. We also found recurrent CNVs located on Xp22.31 and 22ql 1.21 in five and three cases, respectively. Our study first identified and characterized CNVs (CNVs preference, recurrent CNVs) in female infertility, also provided genetic evidence and references for future study and infertility etiology research. Sciendo 2019-08-28 /pmc/articles/PMC6714343/ /pubmed/31523614 http://dx.doi.org/10.2478/bjmg-2019-0005 Text en © 2019 Huang W, Wang J, Pang M, Zhao Q, Kong L, Mao Y, Li W, Liang Β, published by Sciendo http://creativecommons.org/licenses/by-nc-nd/3.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
spellingShingle Original Article
Huang, W
Wang, J
Pang, M
Zhao, Q
Kong, L
Mao, Y
Li, W
Liang, Β
Copy Number Variations in Female Infertility in China
title Copy Number Variations in Female Infertility in China
title_full Copy Number Variations in Female Infertility in China
title_fullStr Copy Number Variations in Female Infertility in China
title_full_unstemmed Copy Number Variations in Female Infertility in China
title_short Copy Number Variations in Female Infertility in China
title_sort copy number variations in female infertility in china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714343/
https://www.ncbi.nlm.nih.gov/pubmed/31523614
http://dx.doi.org/10.2478/bjmg-2019-0005
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