4.5 Article

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

期刊

BIOLOGY OF REPRODUCTION
卷 88, 期 3, 页码 -

出版社

SOC STUDY REPRODUCTION
DOI: 10.1095/biolreprod.112.106211

关键词

aneuploidy; blastocyst trophectoderm cells; massively parallel sequencing; SNP array; unbalanced chromosomal rearrangement

资金

  1. Key Laboratory Project in Guang Dong Province [2011A060906007]
  2. Key Laboratory Project in Shenzhen (Shenzhen Municipal Commission of Development and Reform) [[2011] 861]
  3. National Natural Science Funds for Excellent Young Scholar [81222007]
  4. National Basic Research Program of China (973 program) [2012CB944901]

向作者/读者索取更多资源

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 0.07x 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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