Updates of the HbVar database of human hemoglobin variants and thalassemia mutations

Belinda Giardine, Joseph Borg, Emmanouil Viennas, Cristiana Pavlidis, Kamran Moradkhani, Philippe Joly, Marina Bartsakoulia, Cathy Riemer, Webb Miller, Giannis Tzimas, Henri Wajcman, Ross C. Hardison, George P. Patrinos

Research output: Contribution to journalArticlepeer-review

236 Scopus citations

Abstract

HbVar (http://globin.bx.psu.edu/hbvar) is one of the oldest and most appreciated locus-specific databases launched in 2001 by a multi-center academic effort to provide timely information on the genomic alterations leading to hemoglobin variants and all types of thalassemia and hemoglobinopathies. Database records include extensive phenotypic descriptions, biochemical and hematological effects, associated pathology and ethnic occurrence, accompanied by mutation frequencies and references. Here, we report updates to >600 HbVar entries, inclusion of population-specific data for 28 populations and 27 ethnic groups for α-, and β-thalassemias and additional querying options in the HbVar query page. HbVar content was also inter-connected with two other established genetic databases, namely FINDbase (http://www.findbase.org) and Leiden Open-Access Variation database (http://www.lovd.nl), which allows comparative data querying and analysis. HbVar data content has contributed to the realization of two collaborative projects to identify genomic variants that lie on different globin paralogs. Most importantly, HbVar data content has contributed to demonstrate the microattribution concept in practice. These updates significantly enriched the database content and querying potential, enhanced the database profile and data quality and broadened the inter-relation of HbVar with other databases, which should increase the already high impact of this resource to the globin and genetic database community.

Original languageEnglish (US)
Pages (from-to)D1063-D1069
JournalNucleic acids research
Volume42
Issue numberD1
DOIs
StatePublished - Jan 1 2014

All Science Journal Classification (ASJC) codes

  • Genetics

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