z-logo
open-access-imgOpen Access
HmtVar: a new resource for human mitochondrial variations and pathogenicity data
Author(s) -
Roberto Preste,
Ornella Vitale,
Rosanna Clima,
Giuseppe Gasparre,
Marcella Attimonelli
Publication year - 2018
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gky1024
Subject(s) - biology , mitochondrial dna , human mitochondrial genetics , resource (disambiguation) , mitochondrial disease , interface (matter) , pathogenicity , computational biology , human genetic variation , variation (astronomy) , mitochondrion , genetics , database , bioinformatics , human genome , genome , computer science , gene , computer network , pulmonary surfactant , biochemistry , gibbs isotherm , physics , astrophysics , microbiology and biotechnology
Interest in human mitochondrial genetic data is constantly increasing among both clinicians and researchers, due to the involvement of mitochondrial DNA (mtDNA) in a number of physiological and pathological processes. Thanks to new sequencing technologies and modern databases, the large amount of information on mtDNA variability may be exploited to gain insights into the relationship between mtDNA variants, phenotypes and diseases. To facilitate this process, we have developed the HmtVar resource, a variant-focused database that allows the exploration of a dataset of over 40 000 human mitochondrial variants. Mitochondrial variation data, initially gathered from the HmtDB platform, are integrated with in-house pathogenicity assessments based on various evaluation criteria and with a set of additional annotations from third-party resources. The result is a comprehensive collection of information of crucial importance for human mitochondrial variation studies and investigation of common and rare diseases in which the mitochondrion may be involved. HmtVar is accessible at https://www.hmtvar.uniba.it and data may be retrieved using either a web interface through the Query page or a state-of-the-art API for programmatic access.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom