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Nucleic Acids Research, 2004, Vol. 32, Database issue D537-D541
© 2004 Oxford University Press

Improvements in the HbVar database of human hemoglobin variants and thalassemia mutations for population and sequence variation studies

George P. Patrinos*, Belinda Giardine1, Cathy Riemer1, Webb Miller1, David H. K. Chui3, Nicholas P. Anagnou4, Henri Wajcman5 and Ross C. Hardison2

MGC-Department of Cell Biology and Genetics, Erasmus MC, Faculty of Medicine and Health Sciences, PO Box 1738, 3000 DR, Rotterdam, The Netherlands, 1 Departments of Computer Science and Engineering, 2 Departments of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA, 3 Departments of Medicine and Pathology, Boston University School of Medicine, Boston, MA, USA, 4 Department of Basic Sciences, University of Crete, Heraklion, Greece and 5 INSERM-U468, Génétique Moléculaire et Physiopathologie, Hôpital Henri Mondor, Créteil Cédex, France

*To whom correspondence should be addressed. Tel: +31 10 408 7949; Fax: +31 10 408 9468; Email: g.patrinos{at}erasmusmc.nl

HbVar (http://globin.cse.psu.edu/globin/hbvar/) is a relational database developed by a multi-center academic effort to provide up-to-date and high quality information on the genomic sequence changes leading to hemoglobin variants and all types of thalassemia and hemoglobinopathies. Extensive information is recorded for each variant and mutation, including sequence alterations, biochemical and hematological effects, associated pathology, ethnic occurrence and references. In addition to the regular updates to entries, we report two significant advances: (i) The frequencies for a large number of mutations causing ß-thalassemia in at-risk populations have been extracted from the published literature and made available for the user to query upon. (ii) HbVar has been linked with the GALA (Genome Alignment and Annotation database, available at http://globin.cse.psu.edu/gala/) so that users can combine information on hemoglobin variants and thalassemia mutations with a wide spectrum of genomic data. It also expands the capacity to view and analyze the data, using tools within GALA and the University of California at Santa Cruz (UCSC) Genome Browser.


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