MitoVariome: A variome database of human mitochondrial DNA

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Title
MitoVariome: A variome database of human mitochondrial DNA
Author(s)
Young Seok Lee; Woo Yeon Kim; Mihyun Ji; Ji Han Kim; Jong Hwa Park
Bibliographic Citation
BMC Genomics, vol. 10, no. Sup 3, pp. S12-S12
Publication Year
2009
Abstract
Background: Mitochondrial sequence variation provides critical information for studying human evolution and variation. Mitochondrial DNA provides information on the origin of humans, and plays a substantial role in forensics, degenerative diseases, cancers, and aging process. Typically, human mitochondrial DNA has various features such as HVSI, HVSII, single-nucleotide polymorphism (SNP), restriction enzyme sites, and short tandem repeat (STR). Results: We present a variome database (MitoVariome) of human mitochondrial DNA sequences. Queries against MitoVariome can be made using accession numbers or haplogroup/continent. Query results are presented not only in text but also in HTML tables to report extensive mitochondrial sequence variation information. The variation information includes repeat pattern, restriction enzyme site polymorphism, short tandem repeat, disease information as well as single nucleotide polymorphism. It also provides a graphical interface as Gbrowse displaying all variations at a glance. The web interface also provides the tool for assigning haplogroup based on the haplogroup-diagnostic system with complete human mitochondrial SNP position list and for retrieving sequences that users query against by using accession numbers. Conclusion: MitoVariome is a freely accessible web application and database that enables human mitochondrial genome researchers to study genetic variation in mitochondrial genome with textual and graphical views accompanied by assignment function of haplogrouping if users submit their own data. Hence, the MitoVariome containing many kinds of variation features in the human mitochondrial genome will be useful for understanding mitochondrial variations of each individual, haplogroup, or geographical location to elucidate the history of human evolution.
ISSN
1471-2164
Publisher
Springer-BMC
DOI
http://dx.doi.org/10.1186/1471-2164-10-S3-S12
Type
Article
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1. Journal Articles > Journal Articles
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