Evidence map›Paper›PMID 29099791›Full record

ArticleInternational journal of molecular sciences2017

High Resolution Melting (HRM) for High-Throughput Genotyping-Limitations and Caveats in Practical Case Studies.

Marcin Słomka, Marta Sobalska-Kwapis, Monika Wachulec, Grzegorz Bartosz, Dominik Strapagiel

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
–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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Identification of Acantamoeba isolated from water resources located in the northwest of Iran by using the high-resolution melting analysis assay.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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  11. Rapid Authentication of Flowers ofMolecules (Basel, Switzerland) · 2026
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  14. The use of high-resolution melting analysis to distinguish feline enteric and feline infectious peritonitis coronaviruses.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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  15. Rapid Detection ofGenes · 2025
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12 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

5 authors.

Marcin SłomkaBiobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland. marcin.slomka@biol.uni.lodz.pl.
Marta Sobalska-KwapisBiobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland. marta.sobalska@biol.uni.lodz.pl.
Monika WachulecDepartment of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pomorska 141/143, 90-236 Łódź, Poland. monika.caban@biol.uni.lodz.pl.
Grzegorz BartoszDepartment of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pomorska 141/143, 90-236 Łódź, Poland. gbartosz@biol.uni.lodz.pl.
Dominik StrapagielBiobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland. dominik.strapagiel@biol.uni.lodz.pl.ORCID 0000-0001-9752-4270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High resolution melting (HRM) is a convenient method for gene scanning as well as genotyping of individual and multiple single nucleotide polymorphisms (SNPs). This rapid, simple, closed-tube, homogenous, and cost-efficient approach has the capacity for high specificity and sensitivity, while allowing easy transition to high-throughput scale. In this paper, we provide examples from our laboratory practice of some problematic issues which can affect the performance and data analysis of HRM results, especially with regard to reference curve-based targeted genotyping. We present those examples in order of the typical experimental workflow, and discuss the crucial significance of the respective experimental errors and limitations for the quality and analysis of results. The experimental details which have a decisive impact on correct execution of a HRM genotyping experiment include type and quality of DNA source material, reproducibility of isolation method and template DNA preparation, primer and amplicon design, automation-derived preparation and pipetting inconsistencies, as well as physical limitations in melting curve distinction for alternative variants and careful selection of samples for validation by sequencing. We provide a case-by-case analysis and discussion of actual problems we encountered and solutions that should be taken into account by researchers newly attempting HRM genotyping, especially in a high-throughput setup.

Indexed as

DNAGenotypeGenotyping TechniquesHumansNucleic Acid DenaturationPolymorphism, Single NucleotideReproducibility of ResultsDNAgene scanninggenotypinghigh resolution meltingHRM limitations

Identifiers

PMID29099791
PMCPMC5713285

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LicenceCC BY
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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.