Massively Parallel Sequencing for Chromosomal Abnormality Testing in Trophectoderm Cells of Human Blastocysts1

作者：Xuyang Yin, Ke Tan, Gábor Vajta, Hui Jiang, Yue‐Qiu 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, Shuo-Ping Zhang, Dehua Cheng, Guangxiu Lu, Xiuqing Zhang, Ge Lin, Wei Wang · 发表于：Biology of Reproduction · 年份：2013 · DOI：10.1095/biolreprod.112.106211 · 被引用次数：154 · 研究领域：Prenatal Screening and Diagnostics、Genomic variations and chromosomal abnormalities、Chromosomal and Genetic Variations

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. Ou...