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      Haplogrep 3 - an interactive haplogroup classification and analysis platform

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          Abstract

          Over the last decade, Haplogrep has become a standard tool for haplogroup classification in the field of human mitochondrial DNA and is widely used by medical, forensic, and evolutionary researchers. Haplogrep scales well for thousands of samples, supports many file formats and provides an intuitive graphical web interface. Nevertheless, the currently available version has limitations when applying it to large biobank-scale data. In this paper, we present a major upgrade to the software by adding (a) haplogroup summary statistics and variant annotations from various publicly available genome databases, (b) an interface to connect new phylogenetic trees, (c) a new state-of-the-art web framework managing large scale data, (d) algorithmic adaptions to improve FASTA classification using BWA-specific alignment rules and (e) a pre-classification quality control step for VCF samples. These improvements will give researchers the opportunity to classify thousands of samples as usual but providing additional ways to investigate the dataset directly in the browser. The web service and its documentation can be accessed freely without any registration at https://haplogrep.i-med.ac.at.

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          Graphical Abstract

          Haplogrep 3 allows the upload of mitochondrial profiles in different formats for haplogroup classification and also includes steps for input validation or quality control. The user interface reports summary statistics and provides annotations for each sample.

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          Most cited references19

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          A global reference for human genetic variation

          The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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            HaploGrep 2: mitochondrial haplogroup classification in the era of high-throughput sequencing

            Mitochondrial DNA (mtDNA) profiles can be classified into phylogenetic clusters (haplogroups), which is of great relevance for evolutionary, forensic and medical genetics. With the extensive growth of the underlying phylogenetic tree summarizing the published mtDNA sequences, the manual process of haplogroup classification would be too time-consuming. The previously published classification tool HaploGrep provided an automatic way to address this issue. Here, we present the completely updated version HaploGrep 2 offering several advanced features, including a generic rule-based system for immediate quality control (QC). This allows detecting artificial recombinants and missing variants as well as annotating rare and phantom mutations. Furthermore, the handling of high-throughput data in form of VCF files is now directly supported. For data output, several graphical reports are generated in real time, such as a multiple sequence alignment format, a VCF format and extended haplogroup QC reports, all viewable directly within the application. In addition, HaploGrep 2 generates a publication-ready phylogenetic tree of all input samples encoded relative to the revised Cambridge Reference Sequence. Finally, new distance measures and optimizations of the algorithm increase accuracy and speed-up the application. HaploGrep 2 can be accessed freely and without any registration at http://haplogrep.uibk.ac.at.
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              Reanalysis and revision of the Cambridge reference sequence for human mitochondrial DNA.

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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                05 July 2023
                18 April 2023
                18 April 2023
                : 51
                : W1
                : W263-W268
                Affiliations
                Institute of Genetic Epidemiology, Medical University of Innsbruck , Innsbruck 6020, Austria
                Institute of Genetic Epidemiology, Medical University of Innsbruck , Innsbruck 6020, Austria
                Institute of Genetic Epidemiology, Medical University of Innsbruck , Innsbruck 6020, Austria
                Institute of Genetic Epidemiology, Medical University of Innsbruck , Innsbruck 6020, Austria
                Author notes
                To whom correspondence should be addressed. Tel: +43 512 9003 70562; Fax: +43 512 9003 73510; Email: lukas.forer@ 123456i-med.ac.at

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as Joint First Authors.

                Author information
                https://orcid.org/0000-0002-2871-8669
                https://orcid.org/0000-0003-2229-1120
                https://orcid.org/0000-0003-2139-7329
                Article
                gkad284
                10.1093/nar/gkad284
                10320078
                37070190
                2348f2c8-e67a-4d60-937e-038c7d5aede3
                © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 April 2023
                : 01 April 2023
                : 28 February 2023
                Page count
                Pages: 6
                Funding
                Funded by: Medical University of Innsbruck, DOI 10.13039/501100009980;
                Categories
                AcademicSubjects/SCI00010
                Web Server Issue

                Genetics
                Genetics

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