Evidence map›Paper›PMID 37070190›Full record

ArticleNucleic acids research2023

Haplogrep 3 - an interactive haplogroup classification and analysis platform.

Sebastian Schönherr, Hansi Weissensteiner, Florian Kronenberg, Lukas Forer

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Metagenomic peek into a corn mummy.Scientific reports · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sebastian SchönherrInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Hansi WeissensteinerInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck 6020, Austria.ORCID 0000-0002-2871-8669
Florian KronenbergInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck 6020, Austria.ORCID 0000-0003-2229-1120
Lukas ForerInstitute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck 6020, Austria.ORCID 0000-0003-2139-7329

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DNA, MitochondrialSoftwareBiological EvolutionHumansMitochondriaPhylogenyDNA, Mitochondrial

Identifiers

PMID37070190
PMCPMC10320078

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.