DEFA3

By admin , 16 September 2025

Go ontology

GO web	GO term	GO Term Cat.




GO:0061844	antimicrobial humoral immune response mediated by antimicrobial peptide	BP
GO:0019730	antimicrobial humoral response	BP
GO:0071222	cellular response to lipopolysaccharide	BP
GO:0071219	cellular response to molecule of bacterial origin	BP
GO:0006959	humoral immune response	BP
GO:0032496	response to lipopolysaccharide	BP

Literature evidence

Literature link	GPT Summary	Evidence category	Disease type


38168840	This study explores the use of machine learning and low-coverage genome-wide sequencing of cell-free DNA (cfDNA) from maternal plasma to predict gestational diabetes mellitus (GDM) in early pregnancy. Using a dataset of 5085 pregnant women, including 1942 diagnosed with GDM, the researchers developed a deep learning model with an attention mechanism that achieved high accuracy in identifying GDM. The model also revealed several genes, such as DEFA1, DEFA3, and DEFB1, associated with GDM, suggesting potential biomarkers for early detection and management of the condition.	Risk factor	GDM

Other information links

HGNC	OMIM	UniProtKB	Entrez Gene	Ensembl

HGNC:2762	OMIM:604522	UniProtKB:P28310	Entrez Gene:1668	ENSG00000239839

RF's name

DEFA3

RF's type

cfDNA