Genetic Testing in Craniofacial Care: Development of Algorithms for Testing Patients with Orofacial Clefting, Branchial Arch Anomalies, and Craniosynostosis.

ABSTRACT

OBJECTIVE: To develop consensus-based algorithms for genetic testing in patients with common craniofacial conditions. DESIGN: An online collaborative consisting of online meetings, independent work, and feedback across groups. Setting/Participants: A collaborative of genetics and pediatrics providers from three regional craniofacial centers (four institutions). METHODS: Collaborative participants agreed upon a shared initial framework, developed algorithms independently, and presented/tested the algorithms with a national audience. Algorithms were modified based on consensus feedback. RESULTS: The collaborative group developed final algorithms for genetic testing in patients with orofacial cleft, branchial arch conditions, and craniosynostosis. CONCLUSIONS: Timely and accurate diagnosis of genetic conditions can support medical management recommendations that result in safer surgical interventions. Algorithms can help guide best-practices for testing, particularly in institutions without easy access to genetics providers.