UMD

UMD provides cataloging and analysis of genetic variants to create locus-specific mutation databases and support genotype–phenotype correlation and therapeutic strategy design.

Key Features:

• Locus-specific databases (LSDBs): Facilitates creation and maintenance of LSDBs for genes implicated in cancer and genetic disorders, including APC, P53, RB1, MEN1, SUR1, VHL, WT1, FBN1, and LDLR.
• Gene adaptability: Employs a flexible structure enabling adaptation to additional genes such as VLCAD, MCAD, KIR6, and COL4A5.
• Integration of diverse data types: Integrates noncoding sequences, clinical data, images, monoclonal antibody data, and polymorphic markers such as SNPs.
• Analysis of complex variants: Analyzes infrequent or complex mutations including gross deletions, duplications, and deep intronic mutations at the molecular level.
• Splice site evaluation: Calculates consensus values (CVs) for potential splice sites to assess splicing impact.
• Exonic splicing enhancer (ESE) search: Searches for ESE motifs to evaluate effects of variants on exonic splicing regulation.
• Therapeutic design routines: Provides routines for exon skipping design, aminoglycoside read-through of stop codons, and monoclonal antibody selection and epitope scanning.
• Genotype–phenotype correlation support: Aggregates mutation, clinical, and marker data to facilitate genotype–phenotype analyses.
• Data transfer: Supports transfer of curated data to core databases for downstream use.

Scientific Applications:

• Mutation cataloging: Catalogs mutations associated with genetic diseases and cancers for locus-specific analysis.
• Genotype–phenotype studies: Enables correlation of variants with clinical phenotypes using integrated clinical and molecular data.
• Splicing impact assessment: Assesses potential splice site alterations and ESE disruptions caused by variants.
• Analysis of structural and intronic variants: Characterizes gross deletions, duplications, and deep intronic mutations for molecular interpretation.
• Therapeutic strategy support: Assists design of exon skipping, read-through therapies, and monoclonal antibody epitope selection for gene therapy and targeted interventions.

Methodology:

Computational capabilities explicitly include LSDB construction and adaptation for specified genes, integration of noncoding sequences, clinical data, images and SNP markers, analysis of gross deletions/duplications/deep intronic mutations, calculation of consensus values (CVs) for potential splice sites, searching for exonic splicing enhancer (ESE) motifs, and routines for exon skipping design, aminoglycoside read-through of stop codons, and monoclonal antibody selection and epitope scanning; it also supports data transfer to core databases.