Literature DB >> 23349234

Massively parallel sequencing for chromosomal abnormality testing in trophectoderm cells of human blastocysts.

XuYang Yin1, Ke Tan, Gábor Vajta, Hui Jiang, YueQiu Tan, ChunLei Zhang, Fang Chen, ShengPei Chen, ChunSheng Zhang, XiaoYu Pan, Chun Gong, XuChao Li, ChuYu Lin, Ya Gao, Yu Liang, Xin Yi, Feng Mu, LiJian Zhao, HuanHuan Peng, Bo Xiong, ShuoPing Zhang, DeHua Cheng, GuangXiu Lu, XiuQing Zhang, Ge Lin, Wei Wang.   

Abstract

Preimplantation genetic diagnosis and screening are widely accepted for chromosomal abnormality identification to avoid transferring embryos with genetic defects. Massively parallel sequencing (MPS) is a rapidly developing approach for genome analysis with increasing application in clinical practice. The purpose of this study was to use MPS for identification of aneuploidies and unbalanced chromosomal rearrangements after blastocyst biopsy. Trophectoderm (TE) samples of 38 blastocysts from 16 in vitro fertilization cycles were subjected to analysis. Low-coverage whole genome sequencing was performed using the Illumina HiSeq2000 platform with a novel algorithm purposely created for chromosomal analysis. The efficiency of this MPS approach was estimated by comparing results obtained by an Affymetrix single-nucleotide polymorphism (SNP) array. Whole genome amplification (WGA) products of TE cells were detected by MPS, with an average of 0.07× depth and 5.5% coverage of the human genome. Twenty-six embryos (68.4%) were detected as euploid, while six embryos (15.8%) contained uniform aneuploidies. Four of these (10.5%) were with solely unbalanced chromosomal rearrangements, whereas the remaining two embryos (5.3%) showed both aneuploidies and unbalanced rearrangements. Almost all these results were confirmed by the SNP array, with the exception of one sample, where different sizes of unbalanced rearrangements were detected, possibly due to chromosomal GC bias in array analysis. Our study demonstrated MPS could be applied to accurately detect embryonic chromosomal abnormality with a flexible and cost-effective strategy and higher potential accuracy.

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Year:  2013        PMID: 23349234     DOI: 10.1095/biolreprod.112.106211

Source DB:  PubMed          Journal:  Biol Reprod        ISSN: 0006-3363            Impact factor:   4.285


  34 in total

1.  Characterisation of the methylation pattern in the intragenic CpG island of the IGF2 gene in Bos taurus indicus cumulus cells during in vitro maturation.

Authors:  Maurício Machaim Franco; Nádia Simarro Fagundes; Valquíria Alice Michalczechen-Lacerda; Ester Siqueira Caixeta; Fernanda de Castro Rodrigues; Grazieli Marinheiro Machado; Allice Rodrigues Ferreira; Margot Alves Nunes Dode
Journal:  J Assist Reprod Genet       Date:  2013-10-31       Impact factor: 3.412

2.  Clinical application of next-generation sequencing in preimplantation genetic diagnosis cycles for Robertsonian and reciprocal translocations.

Authors:  Wenke Zhang; Ying Liu; Li Wang; Hui Wang; Minyue Ma; Mengnan Xu; Xiaofei Xu; ZhiYing Gao; Jinliang Duan; David S Cram; Yuanqing Yao
Journal:  J Assist Reprod Genet       Date:  2016-05-11       Impact factor: 3.412

3.  Genotyping single-sperm cells by universal MARSALA enables the acquisition of linkage information for combined pre-implantation genetic diagnosis and genome screening.

Authors:  Haitao Wu; Xiaoting Shen; Lei Huang; Yanhong Zeng; Yumei Gao; Lin Shao; Baomin Lu; Yiping Zhong; Benyu Miao; Yanwen Xu; Yali Wang; Yubin Li; Luoxing Xiong; Sijia Lu; X Sunney Xie; Canquan Zhou
Journal:  J Assist Reprod Genet       Date:  2018-05-22       Impact factor: 3.412

Review 4.  Next-generation molecular diagnosis: single-cell sequencing from bench to bedside.

Authors:  Wanjun Zhu; Xiao-Yan Zhang; Sadie L Marjani; Jialing Zhang; Wengeng Zhang; Shixiu Wu; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2016-10-13       Impact factor: 9.261

5.  Natural selection between day 3 and day 5/6 PGD embryos in couples with reciprocal or Robertsonian translocations.

Authors:  Claire E Beyer; E Willats
Journal:  J Assist Reprod Genet       Date:  2017-07-29       Impact factor: 3.412

Review 6.  Recent advances in preimplantation genetic diagnosis and screening.

Authors:  Lina Lu; Bo Lv; Kevin Huang; Zhigang Xue; Xianmin Zhu; Guoping Fan
Journal:  J Assist Reprod Genet       Date:  2016-06-07       Impact factor: 3.412

7.  A whole-genome sequencing-based novel preimplantation genetic testing method for de novo mutations combined with chromosomal balanced translocations.

Authors:  Ping Yuan; Jun Xia; Songbang Ou; Ping Liu; Tao Du; Lingyan Zheng; Xuyang Yin; Lin Xie; Sijia Zhang; Huijuan Yan; Ya Gao; Qingxue Zhang; Hui Jiang; Fang Chen; Wenjun Wang
Journal:  J Assist Reprod Genet       Date:  2020-08-11       Impact factor: 3.412

8.  Live births after simultaneous avoidance of monogenic diseases and chromosome abnormality by next-generation sequencing with linkage analyses.

Authors:  Liying Yan; Lei Huang; Liya Xu; Jin Huang; Fei Ma; Xiaohui Zhu; Yaqiong Tang; Mingshan Liu; Ying Lian; Ping Liu; Rong Li; Sijia Lu; Fuchou Tang; Jie Qiao; X Sunney Xie
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-28       Impact factor: 11.205

Review 9.  Genetic considerations in recurrent pregnancy loss.

Authors:  Kassie J Hyde; Danny J Schust
Journal:  Cold Spring Harb Perspect Med       Date:  2015-02-06       Impact factor: 6.915

10.  Analysis of implantation and ongoing pregnancy rates following the transfer of mosaic diploid-aneuploid blastocysts.

Authors:  Elpida Fragouli; Samer Alfarawati; Katharina Spath; Dhruti Babariya; Nicoletta Tarozzi; Andrea Borini; Dagan Wells
Journal:  Hum Genet       Date:  2017-04-09       Impact factor: 4.132

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