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Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes

BACKGROUND: Small supernumerary marker chromosomes (sSMCs) are rare structural abnormalities in the population; however, they are frequently found in children or fetuses with hypoevolutism and infertile adults. sSMCs are usually observed first by karyotyping, and further analysis of their molecular...

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Autores principales: Li, Tingting, Sang, Haiquan, Chu, Guoming, Zhang, Yuanyuan, Qi, Manlong, Liu, Xiaoliang, Cui, Wanting, Zhao, Yanyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362453/
https://www.ncbi.nlm.nih.gov/pubmed/32684981
http://dx.doi.org/10.1186/s13039-020-00494-2
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author Li, Tingting
Sang, Haiquan
Chu, Guoming
Zhang, Yuanyuan
Qi, Manlong
Liu, Xiaoliang
Cui, Wanting
Zhao, Yanyan
author_facet Li, Tingting
Sang, Haiquan
Chu, Guoming
Zhang, Yuanyuan
Qi, Manlong
Liu, Xiaoliang
Cui, Wanting
Zhao, Yanyan
author_sort Li, Tingting
collection PubMed
description BACKGROUND: Small supernumerary marker chromosomes (sSMCs) are rare structural abnormalities in the population; however, they are frequently found in children or fetuses with hypoevolutism and infertile adults. sSMCs are usually observed first by karyotyping, and further analysis of their molecular origin is important in clinical practice. Next-generation sequencing (NGS) combined with Sanger sequencing helps to identify the chromosomal origins of sSMCs and correlate certain sSMCs with a specific clinical picture. RESULTS: Karyotyping identified 75 sSMCs in 74,266 samples (0.1% incidence). The chromosomal origins of 27 of these sSMCs were detected by sequencing-related techniques (NGS, MLPA and STR). Eight of these sSMCs are being reported for the first time. sSMCs mainly derived from chromosomal X, Y, 15, and 18, and some sSMC chromosomal origins could be correlated with clinical phenotypes. However, the chromosomal origins of the remaining 48 sSMC cases are unknown. Thus, we will develop a set of economical and efficient methods for clinical sSMC diagnosis. CONCLUSIONS: This study details the comprehensive characterization of 27 sSMCs. Eight of these sSMCs are being reported here for the first time, providing additional information to sSMC research. Identifying sSMCs may reveal genotype-phenotype correlations and integrate genomic data into clinical care.
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spelling pubmed-73624532020-07-17 Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes Li, Tingting Sang, Haiquan Chu, Guoming Zhang, Yuanyuan Qi, Manlong Liu, Xiaoliang Cui, Wanting Zhao, Yanyan Mol Cytogenet Research BACKGROUND: Small supernumerary marker chromosomes (sSMCs) are rare structural abnormalities in the population; however, they are frequently found in children or fetuses with hypoevolutism and infertile adults. sSMCs are usually observed first by karyotyping, and further analysis of their molecular origin is important in clinical practice. Next-generation sequencing (NGS) combined with Sanger sequencing helps to identify the chromosomal origins of sSMCs and correlate certain sSMCs with a specific clinical picture. RESULTS: Karyotyping identified 75 sSMCs in 74,266 samples (0.1% incidence). The chromosomal origins of 27 of these sSMCs were detected by sequencing-related techniques (NGS, MLPA and STR). Eight of these sSMCs are being reported for the first time. sSMCs mainly derived from chromosomal X, Y, 15, and 18, and some sSMC chromosomal origins could be correlated with clinical phenotypes. However, the chromosomal origins of the remaining 48 sSMC cases are unknown. Thus, we will develop a set of economical and efficient methods for clinical sSMC diagnosis. CONCLUSIONS: This study details the comprehensive characterization of 27 sSMCs. Eight of these sSMCs are being reported here for the first time, providing additional information to sSMC research. Identifying sSMCs may reveal genotype-phenotype correlations and integrate genomic data into clinical care. BioMed Central 2020-07-14 /pmc/articles/PMC7362453/ /pubmed/32684981 http://dx.doi.org/10.1186/s13039-020-00494-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Tingting
Sang, Haiquan
Chu, Guoming
Zhang, Yuanyuan
Qi, Manlong
Liu, Xiaoliang
Cui, Wanting
Zhao, Yanyan
Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
title Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
title_full Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
title_fullStr Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
title_full_unstemmed Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
title_short Genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
title_sort genotype-phenotype correlation in 75 patients with small supernumerary marker chromosomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362453/
https://www.ncbi.nlm.nih.gov/pubmed/32684981
http://dx.doi.org/10.1186/s13039-020-00494-2
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