Journal article icon

Journal article

The power of mouse models in the diagnostic odyssey of patients with rare congenital anomalies

Abstract:

Congenital anomalies are structural or functional abnormalities present at birth, which can be caused by genetic or environmental influences. The availability of genome sequencing has significantly increased our understanding of congenital anomalies, but linking variant identification to functional relevance and definitive diagnosis remains challenging. Many genes have unknown or poorly understood functions, and with a lack of clear genotype-to-phenotype correlations, it can be difficult to move from variant discovery to diagnosis. Thus, for most congenital anomalies, there still exists a “diagnostic odyssey” which presents a significant burden to patients, families and society. Animal models are essential in the gene discovery process because they allow researchers to validate candidate gene function and disease progression within intact organisms. However, use of advanced model systems continues to be limited due to the complexity of efficiently generating clinically relevant animals. Here we focus on the use of precisely engineered mice in variant-to-function studies for resolving molecular diagnoses and creating powerful preclinical models for congenital anomalies, covering advances in genomics, genome editing and phenotyping approaches as well as the necessity for future initiatives aligning animal modelling to deep patient multimodal datasets.

Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1007/s00335-025-10114-2

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Clinical Laboratory Sciences
Oxford college:
Christ Church
Role:
Author
ORCID:
0000-0001-5024-049X


More from this funder
Funder identifier:
https://ror.org/03x94j517
Grant:
MC_PC_21044


Publisher:
Springer
Journal:
Mammalian Genome More from this journal
Volume:
36
Issue:
2
Pages:
354-362
Publication date:
2025-03-18
Acceptance date:
2025-02-13
DOI:
EISSN:
1432-1777
ISSN:
0938-8990


Language:
English
Keywords:
Pubs id:
2093598
Local pid:
pubs:2093598
Deposit date:
2025-03-10

Terms of use



Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP