Blackfan Anemia mutation database

Blackfan Anemia mutation database catalogs and annotates genetic mutations associated with Diamond-Blackfan Anemia (DBA), an autosomal dominant disorder with incomplete penetrance characterized by defective erythroid progenitors and congenital malformations.

Key Features:

• Gene coverage: Records mutations in nine genes implicated in approximately 50% of DBA cases.
• Ribosomal protein focus: Documents mutations in genes encoding ribosomal proteins (RP) implicated in defects of ribosome synthesis in DBA.
• Cohort and mutation counts: Includes data from 355 patients encompassing 220 distinct mutations, of which 56 are novel.
• Inheritance annotation: Reports that 125 patients carry de novo mutations and 72 have inherited mutations.
• Mutagenesis mechanism analysis: Quantifies that slippage accounts for 65.5% of insertions and deletions (indels) and CpG dinucleotides are involved in 23% of transitions, and notes that gene conversion is not a common mechanism despite numerous RP pseudogenes.
• Genotype–phenotype correlations: Identifies that malformations are more frequently associated with mutations in RPL5 and RPL11 than with other DBA genes.
• Integrated clinical and functional annotations: Aggregates all reported DBA mutations together with available functional and clinical data.

Scientific Applications:

• Mutation cataloging: Serves as a reference for researchers compiling and comparing DBA-associated RP gene variants.
• Genotype–phenotype studies: Enables analysis of associations between specific RP gene mutations (notably RPL5 and RPL11) and congenital malformations.
• Mutagenesis mechanism research: Supports investigation into indel slippage and CpG-related transition processes in RP gene mutagenesis.
• Ribosome synthesis research: Facilitates studies into how RP gene mutations contribute to defective ribosome biogenesis in DBA.

Methodology:

Aggregates mutation data from collaborative contributions across six research centers and integrates reported mutations with clinical and functional annotations, performing genotype–phenotype correlation analyses and mutagenesis mechanism characterization.