Improved single-cell protocol for preimplantation genetic diagnosis of spinal muscular atrophy

Fertil Steril. 2005 Sep;84(3):734-9. doi: 10.1016/j.fertnstert.2005.03.054.

Abstract

Objective: To develop and validate a simple and reliable single-cell analysis protocol for the preimplantation genetic diagnosis (PGD) of spinal muscular atrophy (SMA).

Design: Molecular tests based on specific enzymatic digestion have already been described for SMA diagnosis. We modified the amplified DNA fragments so as to introduce a novel restriction site that provides an internal control for the completeness of the digestion.

Setting: The genetics and reproduction departments of two teaching hospitals.

Patient(s): Six informed couples at risk of transmitting SMA.

Intervention(s): All patients underwent standard procedures associated with intracytoplasmic sperm injection.

Main outcome measure(s): Improvement of SMA diagnostic efficiency and accuracy on single cell.

Result(s): One hundred fifty lymphocytes were analyzed with our protocol. One hundred percent diagnostic accuracy was achieved from both homozygous normal and SMN1-deleted leukocytes. Successful molecular analysis was achieved for 36 of 42 biopsied embryos (86%). Twenty-five normal embryos were transferred, but no pregnancy was achieved.

Conclusion(s): We developed an improved protocol for PGD of SMA that is simple, robust, and accurate; unfortunately, no pregnancies were achieved for any of the six patients who have undergone PGD in the program thus far.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Base Sequence
  • Embryo, Mammalian / cytology
  • Embryo, Mammalian / physiology
  • Female
  • Genetic Testing / methods
  • Genetic Testing / statistics & numerical data
  • Humans
  • Lymphocytes / cytology
  • Lymphocytes / physiology
  • Molecular Sequence Data
  • Muscular Atrophy, Spinal / diagnosis*
  • Muscular Atrophy, Spinal / genetics*
  • Polymerase Chain Reaction / methods
  • Polymerase Chain Reaction / statistics & numerical data
  • Pregnancy
  • Preimplantation Diagnosis / methods*
  • Preimplantation Diagnosis / statistics & numerical data