Literature DB >> 20960467

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

Anita Kloss-Brandstätter1, Dominic Pacher, Sebastian Schönherr, Hansi Weissensteiner, Robert Binna, Günther Specht, Florian Kronenberg.   

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.
© 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20960467     DOI: 10.1002/humu.21382

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  208 in total

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Authors:  Gal Avital; Mor Buchshtav; Ilia Zhidkov; Jeanette Tuval Feder; Sarah Dadon; Eitan Rubin; Dan Glass; Timothy D Spector; Dan Mishmar
Journal:  Hum Mol Genet       Date:  2012-06-26       Impact factor: 6.150

2.  Whole mitochondrial genome genetic diversity in an Estonian population sample.

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Journal:  Int J Legal Med       Date:  2015-08-20       Impact factor: 2.686

3.  Natural underlying mtDNA heteroplasmy as a potential source of intra-person hiPSC variability.

Authors:  Ester Perales-Clemente; Alexandra N Cook; Jared M Evans; Samantha Roellinger; Frank Secreto; Valentina Emmanuele; Devin Oglesbee; Vamsi K Mootha; Michio Hirano; Eric A Schon; Andre Terzic; Timothy J Nelson
Journal:  EMBO J       Date:  2016-07-19       Impact factor: 11.598

4.  Complete mtDNA genomes of Filipino ethnolinguistic groups: a melting pot of recent and ancient lineages in the Asia-Pacific region.

Authors:  Frederick Delfin; Albert Min-Shan Ko; Mingkun Li; Ellen D Gunnarsdóttir; Kristina A Tabbada; Jazelyn M Salvador; Gayvelline C Calacal; Minerva S Sagum; Francisco A Datar; Sabino G Padilla; Maria Corazon A De Ungria; Mark Stoneking
Journal:  Eur J Hum Genet       Date:  2013-06-12       Impact factor: 4.246

5.  Mitochondrial DNA analysis of Swedish population samples.

Authors:  Maria Lembring; Mannis van Oven; Maria Montelius; Marie Allen
Journal:  Int J Legal Med       Date:  2013-11       Impact factor: 2.686

6.  Mitochondrial DNA history of Sri Lankan ethnic people: their relations within the island and with the Indian subcontinental populations.

Authors:  Lanka Ranaweera; Supannee Kaewsutthi; Aung Win Tun; Hathaichanoke Boonyarit; Samerchai Poolsuwan; Patcharee Lertrit
Journal:  J Hum Genet       Date:  2013-11-07       Impact factor: 3.172

7.  Peripheral Blood Mitochondrial DNA Copy Number Obtained From Genome-Wide Genotype Data Is Associated With Neurocognitive Impairment in Persons With Chronic HIV Infection.

Authors:  Todd Hulgan; Asha R Kallianpur; Yan Guo; Jill S Barnholtz-Sloan; Haley Gittleman; Todd T Brown; Ronald Ellis; Scott Letendre; Robert K Heaton; David C Samuels
Journal:  J Acquir Immune Defic Syndr       Date:  2019-04-01       Impact factor: 3.731

8.  An integrated semiconductor device enabling non-optical genome sequencing.

Authors:  Jonathan M Rothberg; Wolfgang Hinz; Todd M Rearick; Jonathan Schultz; William Mileski; Mel Davey; John H Leamon; Kim Johnson; Mark J Milgrew; Matthew Edwards; Jeremy Hoon; Jan F Simons; David Marran; Jason W Myers; John F Davidson; Annika Branting; John R Nobile; Bernard P Puc; David Light; Travis A Clark; Martin Huber; Jeffrey T Branciforte; Isaac B Stoner; Simon E Cawley; Michael Lyons; Yutao Fu; Nils Homer; Marina Sedova; Xin Miao; Brian Reed; Jeffrey Sabina; Erika Feierstein; Michelle Schorn; Mohammad Alanjary; Eileen Dimalanta; Devin Dressman; Rachel Kasinskas; Tanya Sokolsky; Jacqueline A Fidanza; Eugeni Namsaraev; Kevin J McKernan; Alan Williams; G Thomas Roth; James Bustillo
Journal:  Nature       Date:  2011-07-20       Impact factor: 49.962

9.  Identification of kinship and occupant status in Mongolian noble burials of the Yuan Dynasty through a multidisciplinary approach.

Authors:  Yinqiu Cui; Li Song; Dong Wei; Yuhong Pang; Ning Wang; Chao Ning; Chunmei Li; Binxiao Feng; Wentao Tang; Hongjie Li; Yashan Ren; Chunchang Zhang; Yanyi Huang; Yaowu Hu; Hui Zhou
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-01-19       Impact factor: 6.237

10.  mtDNA Variation and Analysis Using Mitomap and Mitomaster.

Authors:  Marie T Lott; Jeremy N Leipzig; Olga Derbeneva; H Michael Xie; Dimitra Chalkia; Mahdi Sarmady; Vincent Procaccio; Douglas C Wallace
Journal:  Curr Protoc Bioinformatics       Date:  2013-12
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