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.
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Authors | Philippe Burlet, Nelly Frydman, Nadine Gigarel, Jean Paul Bonnefont, Violaine Kerbrat, Gérard Tachdjian, René Frydman, Arnold Munnich, Julie Steffann, Pierre F Ray |
Journal | Fertility and sterility
(Fertil Steril)
Vol. 84
Issue 3
Pg. 734-9
(Sep 2005)
ISSN: 1556-5653 [Electronic] United States |
PMID | 16169410
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Topics |
- Base Sequence
- Embryo, Mammalian
(cytology, physiology)
- Female
- Genetic Testing
(methods, statistics & numerical data)
- Humans
- Lymphocytes
(cytology, physiology)
- Molecular Sequence Data
- Muscular Atrophy, Spinal
(diagnosis, genetics)
- Polymerase Chain Reaction
(methods, statistics & numerical data)
- Pregnancy
- Preimplantation Diagnosis
(methods, statistics & numerical data)
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