Using whole exome sequencing as a molecular diagnostic tool to identify disease-causing mutations in consanguineous families in Qatar
Notice bibliographique
Résumé
Background: Whole exome sequencing (WES), which focuses on sequencing of protein-coding regions of human genome, has greatly improved the identification of causal mutations for diverse human genetic disorders in the past four years. We applied WES as a molecular diagnostic tool to identify disease-causing mutations in consanguineous families displaying autosomal recessive (AR) disorders in Qatar. AR diseases are usually severe and rare that occurs with higher rate in consanguineous families. In Qatar, like other Middle East countries, consanguineous marriage and endogamy are common (54%) that results in a higher incidence of several/new AR disorders where many of these disorders are yet to be defined and their causative genes are to be discovered. In order to decrease the overall socio-economic burden of such diseases in the society and development of specific testing tools that will be helpful with the molecular diagnosis, parental testing, carrier identification, and informed genetic counseling, we must first discover the causative genes of these recessive disorders. Methods: All of the experimental (whole exome library preparation, capturing and sequencing) and bioinformatics analyses were performed according to our well-established protocols at Genome Quebec Innovation Center, Montreal, Canada. Results: We performed WES on several consanguineous families, with one or more affected children, where the result of initial molecular screening of known or potential candidate genes was negative. Because of unaffected status of parents and their consanguinity, the mode of inheritance was considered to be autosomal recessive. We also tested de novo and X-linked mode of inheritance in families with one or only male affected child. Based on these assumptions, we identified the definitive damaging mutations for Hypophosphatemic rickets; Hurler syndrome; Glycogen storage disease; Dubowitz-like syndrome; Seckel syndrome; Geleophysic dysplasia; Limb-girdle muscular dystrophy; Multiple Fractures; Metachromatic Leukodystrophy; Immunodeficiency and Juvenile onset cataract. In addition, several candidate genes were identified in families with mental retardation (n=3); CNS anomaly (n=1); eye anomalies (n= 26); peripheral neuropathy (n=7); axonal peripheral neuropathy (n=3) and oro-facio-digital syndrome (n=2), that have been considered for functional follow-up investigations and further characterizations. Conclusion: Our study highlights the importance of using WES as molecular diagnostic approach for discovery pathogenic gene mutations compared to traditional molecular genetic testing. We showed that the WES was successful to identify causal mutations underlying phenotypically complex disorders in ~46% of our patients. The results of this study will help to establish population-specific diagnostic panels, and improve clinical diagnosis and patient management in the country.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».