Preimplantation genetic diagnosis and screening (PGD/S) using a semiconductor sequencing platform

Hum Genomics. 2019 Jan 3;13(1):1. doi: 10.1186/s40246-018-0187-x.

Abstract

Background: Recent advances in semiconductor sequencing platform (SSP) have provided new methods for preimplantation genetic diagnosis/screening (PGD/S). The present study aimed to evaluate the applicability and efficiency of SSP in PGD/S.

Methods: The artificial positive single-cell-like DNAs and normal single-cell samples were chosen to test our semiconductor sequencing platform for preimplantation genetic diagnosis/screening (SSP-PGD/S) method with two widely used whole-genome amplification (WGA) kits. A total of 557 single blastomeres were collected from in vitro fertilization (IVF) couples, and their WGA products were processed and analyzed by our SSP-PGD/S method in comparison with array comparative genomic hybridization (array-CGH).

Results: Our SSP-PGD/S method indicated high compatibilities with two commercial WGA kits. For 557 single blastomeres, our method with four million reads in average could detect 24-chromosome aneuploidies as well as microdeletion/microduplication of the size over 4 Mb, providing 100% consistent conclusion with array-CGH method in the classification of whether it was transplantable.

Conclusions: Our studies suggested that SSP-PGD/S represents a valuable alternative to array-CGH and brought PGD/S into a new era of more rapid, accurate, and economic.

Keywords: Array comparative genomic hybridization; Copy number variation; Preimplantation genetic diagnosis/screening; Semiconductor sequencing platform; Whole genome amplification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aneuploidy
  • Blastomeres / cytology
  • Blastomeres / physiology*
  • Comparative Genomic Hybridization
  • DNA Copy Number Variations
  • Female
  • Fertilization in Vitro
  • Humans
  • Male
  • Preimplantation Diagnosis / methods*
  • Semiconductors
  • Sex Chromosome Aberrations
  • Single-Cell Analysis / instrumentation
  • Single-Cell Analysis / methods
  • Whole Genome Sequencing / instrumentation
  • Whole Genome Sequencing / methods*