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Updated: Feb 2, 2026

FISH for Pre-implantation Genetic Diagnosis
Published on: February 23, 2011
The challenge of CDG diagnosis
R Francisco1, D Marques-da-Silva1, S Brasil1
1UCIBIO, Departamento Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Portugal; Portuguese Association for CDG, Lisboa, Portugal; CDG & Allies - Professionals and Patient Associations International Network (CDG & Allies - PPAIN), Portugal.
Congenital disorders of glycosylation (CDG) are rare genetic diseases. This guide offers tools to aid healthcare professionals in diagnosing CDG, improving patient outcomes.
Area of Science:
- Biochemistry
- Genetics
- Pediatrics
Background:
- Congenital disorders of glycosylation (CDG) encompass over 130 genetic conditions.
- Diagnosis is challenging due to the large number of types and clinical heterogeneity.
- The standard screening test for CDG is often insufficient, missing many cases.
Purpose of the Study:
- To provide practical diagnostic tools for Congenital disorders of glycosylation (CDG).
- To simplify the diagnostic process for healthcare professionals.
- To raise awareness and improve the timeliness of CDG diagnosis.
Main Methods:
- Compilation of clinical features suggestive of specific CDG types.
- Creation of tables detailing clinical, biochemical, and laboratory findings by organ system.
- Development of a diagnostic decision tree for suspected CDG cases.
- Review of current biochemical and genetic testing options.
Main Results:
- A comprehensive list of clinical and biochemical hallmarks for various CDG.
- An updated overview of identified CDG types and affected systems.
- Practical diagnostic aids including suggestive features, organ-specific findings, and a decision tree.
Conclusions:
- A CDG diagnosis should be considered in unexplained syndromes, especially with neurological involvement.
- The provided tools aim to streamline CDG diagnosis for healthcare providers.
- Enhanced diagnostic strategies are crucial for effective and prompt management of CDG patients.
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