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PMID: 20960467 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

HaploGrep: a fast and reliable algorithm for automatic classification of mitochondrial DNA haplogroups.

Human mutation ·Vol. 32 ·No. 1 ·2011-01-00 ·Pages 25-32

Kloss-Brandstätter A, Pacher D, Schönherr S, Weissensteiner H, Binna R, Specht G, Kronenberg F

Abstract

An ongoing source of controversy in mitochondrial DNA (mtDNA) research is based on the detection of numerous errors in mtDNA profiles that led to erroneous conclusions and false disease associations. Most of these controversies could be avoided if the samples' haplogroup status would be taken into consideration. Knowing the mtDNA haplogroup affiliation is a critical prerequisite for studying mechanisms of human evolution and discovering genes involved in complex diseases, and validating phylogenetic consistency using haplogroup classification is an important step in quality control. However, despite the availability of Phylotree, a regularly updated classification tree of global mtDNA variation, the process of haplogroup classification is still time-consuming and error-prone, as researchers have to manually compare the polymorphisms found in a population sample to those summarized in Phylotree, polymorphism by polymorphism, sample by sample. We present HaploGrep, a fast, reliable and straight-forward algorithm implemented in a Web application to determine the haplogroup affiliation of thousands of mtDNA profiles genotyped for the entire mtDNA or any part of it. HaploGrep uses the latest version of Phylotree and offers an all-in-one solution for quality assessment of mtDNA profiles in clinical genetics, population genetics and forensics. HaploGrep can be accessed freely at http://haplogrep.uibk.ac.at.

MeSH Terms
Algorithms DNA, Mitochondrial/classification,genetics Databases, Genetic Haplotypes/genetics Humans Software/trends
Chemicals
DNA, Mitochondrial
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Kloss-Brandstätter Anita
Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Austria. [email protected]
Pacher Dominic
Schönherr Sebastian
Weissensteiner Hansi
Binna Robert
Specht Günther
Kronenberg Florian
Article Info
Journal
Human mutation
Abbr.
Hum Mutat
ISSN
1098-1004
Published
2011-01-00
Epub
2010-00-16
Pages
25-32
Language
English
Region
United States
NLM ID
9215429
Subset
IM
Analysis Services
Analysis Services

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