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Updated: May 12, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
The Biotinidase Gene Variants Registry: A Paradigm Public Database
Melinda Procter1, Barry Wolf2, David K Crockett1
1ARUP Institute for Clinical and Experimental Pathology, Salt Lake City, Utah 84108.
Biotinidase deficiency, a genetic disorder affecting biotin recycling, impacts 1 in 60,000 newborns. A new database catalogs BTD gene mutations, aiding in diagnosis and understanding genotype-phenotype correlations for this rare disease.
Area of Science:
- Genetics
- Biochemistry
- Medical Informatics
Background:
- Biotinidase deficiency is an inherited metabolic disorder affecting biotin recycling.
- It results from mutations in the BTD gene, impacting biotin-dependent carboxylases and causing health issues.
- Approximately 1 in 60,000 newborns are affected, necessitating efficient diagnostic tools.
Purpose of the Study:
- To develop a comprehensive database of known mutations and sequence variants in the BTD gene.
- To facilitate genotype-phenotype correlation for biotinidase deficiency.
- To provide a centralized resource for researchers and clinicians studying this disorder.
Main Methods:
- Collected and verified over 165 reported mutations in the BTD gene.
- Standardized variant nomenclature using Human Genome Variation Society (HGVS) guidelines.
- Incorporated protein change, pathogenicity predictions, clinical observations, and published phenotypes.
Main Results:
- Developed a publicly accessible database detailing BTD gene variants and their clinical significance.
- The database includes information on mutation type, predicted impact, and genotype-phenotype correlations.
- Features include disease information, links, reference sequences, and query capabilities.
Conclusions:
- The BTD gene mutation database serves as a valuable tool for understanding biotinidase deficiency.
- It aids in mutation analysis, result interpretation, and the diagnosis of affected individuals.
- This database model can be applied to other inherited metabolic disorders.
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