The application provides a detection
system for
genetic risk assessment of
neural tube defects, and relates to the technical field of
bioinformatics. The
system comprises: obtaining
genomic sequencing data of a to-be-detected individual, performing targeted filtering based on a preset NTD-
related gene set, and screening out rare pathogenic variants located in the
gene set, MAF satisfying a preset frequency threshold, and predicted to have biological
pathogenicity; then, the total number of the rare pathogenic variants is counted to obtain a
mutation load value, which is compared with a preset determination threshold, and a
risk assessment result is output. The application effectively removes the whole
genome background noise by limiting the
gene set range and quantifying the
cumulative effect of rare pathogenic variants, breaks through the limitations of narrow coverage of traditional
single gene detection and
lag of
imaging diagnosis, significantly improves the specificity and sensitivity of
neural tube defect diagnosis, and can realize precise risk early warning in early
pregnancy or before
embryo implantation.