What could be the role of genetic tests and machine learning of AXIN2 variant dominance in non-syndromic hypodontia? A case-control study in orthodontically treated patients
Our study confirms a link between AXIN2 and hypodontia in Saudi orthodontic patients and suggests that combining machine-learning models with SNP analysis of saliva samples can effectively identify individuals with non-syndromic hypodontia.
Authors
- Bader Almuzzaini (ORCID: https://orcid.org/0000-0003-1176-9037)
- Ali Alaqla (ORCID: https://orcid.org/0009-0000-8467-7876)
- Omar Aldibasi (ORCID: https://orcid.org/0000-0002-4120-577X)
- Farah S. Almasoud
- Mohammed Aldrees
- Hala Alshamlan (ORCID: https://orcid.org/0000-0003-3123-6633)
- Ghaida H Alnaqa
- Nora Alhazmi (ORCID: https://orcid.org/0000-0002-3873-4910)
Institutions
- King Saud bin Abdulaziz University for Health Sciences (SA)
- King Saud University (SA)
- King Abdullah International Medical Research Center (SA)
- National Guard Health Affairs (SA)
Publication Details
- Journal
- Progress in Orthodontics
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1186/s40510-024-00532-4
- Citations
- 3
- Primary Topic
- dental development and anomalies
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- King Abdullah International Medical Research Center