dbVOR: a database system for importing pedigree, phenotype and genotype data and exporting selected subsets.

Area of Science:

• Genetics
• Bioinformatics
• Computational Biology

Background:

• Managing human genetic data from diverse experiments presents challenges due to overlapping individuals and markers.
• Inconsistencies arise from differing allele labeling, unreliable or missing genotypes, and merged markers across studies.

Purpose of the Study:

• To develop a robust database solution for efficiently storing and integrating genome-wide and targeted genotype data.
• To address the complexities of merging and reconciling genetic data from multiple, potentially conflicting, sources.

Main Methods:

• Developed the dbVOR database, indexed for rapid retrieval by person and marker.
• Incorporated storage for pedigree and phenotype data.
• Enabled data subset selection and merging based on various criteria (family, person, marker, chromosome).

Main Results:

• dbVOR efficiently holds and indexes both genome-wide and targeted genetic experiment data.
• The database allows for the selection and merging of data subsets into a consistent format.
• Results can be filtered and presented in multiple formats, including columnar, Mega2, and PLINK.

Conclusions:

• dbVOR effectively meets the needs for managing complex genetic datasets.
• The database provides a coherent and consistent view of selected genetic data.
• dbVOR is freely available with comprehensive documentation.