Log in to save to my catalogue

What could be the role of genetic tests and machine learning of AXIN2 variant dominance in non-syndr...

What could be the role of genetic tests and machine learning of AXIN2 variant dominance in non-syndr...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec7031a8342549959a11cca4ad3e0dbe

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

About this item

Full title

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

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Progress in Orthodontics, 2024-08, Vol.25 (1), p.31-11, Article 31

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Background
Hypodontia is the most prevalent dental anomaly in humans, and is primarily attributed to genetic factors. Although genome-wide association studies (GWAS) have identified single-nucleotide polymorphisms (SNP) associated with hypodontia, genetic risk assessment remains challenging due to population-specific SNP variants. Therefore, we...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ec7031a8342549959a11cca4ad3e0dbe

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec7031a8342549959a11cca4ad3e0dbe

Other Identifiers

ISSN

2196-1042,1723-7785

E-ISSN

2196-1042

DOI

10.1186/s40510-024-00532-4

How to access this item