ReviewMutation research. Reviews in mutation research2017
Advances in ligase chain reaction and ligation-based amplifications for genotyping assays: Detection and applications.
Review in Mutation research. Reviews in mutation research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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.
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Who cites it
20 citing papers in PubMed, 61 citations in OpenAlex.
- Application of SNV Detection Methods for Market Control of Food Products from New Genomic Techniques.International journal of molecular sciences · 2026Review
- Base gap switches as transcriptional regulators and their applications as biosensors.Nature sensors · 2026Article
- Emerging Biomarkers and Nanobiosensing Strategies in Diabetes.Biosensors · 2025Review
- Permissiveness of different TMEM154 genotype cell lines to different SRLV genotypes/subtypes.Journal of virology · 2025Article
- Suitability of Real-Time PCR Methods for New Genomic Technique Detection in the Context of the European Regulations: A Case Study in Arabidopsis.International journal of molecular sciences · 2025Article
- A Software Tool for Reagent Design to Expand Access to Single-Nucleotide Variant Detection by the Oligonucleotide Ligation Assay.The Journal of molecular diagnostics : JMD · 2025Article
- Nucleic Acid Based Testing (NABing): A Game Changer Technology for Public Health.Molecular biotechnology · 2024Review
- Thermostable DNA ligases from hyperthermophiles in biotechnology.Frontiers in microbiology · 2023Review
- Susceptibility of different TMEM154 genotypes in three Italian sheep breeds infected by different SRLV genotypes.Veterinary research · 2022Article
- Discrimination of Single-Nucleotide Variants Based on an Allele-Specific Hybridization Chain Reaction and Smartphone Detection.ACS sensors · 2022Article
- Magnetic Bead Processing Enables Sensitive Ligation-Based Detection of HIV Drug Resistance Mutations.Analytical chemistry · 2022Article
- Deep analysis of the LRTOMTc.242G>A variant in non-syndromic hearing loss North African patients and the Berber population: Implications for genetic diagnosis and genealogical studies.Molecular genetics & genomic medicine · 2021Article
- Diagnosing the drug resistance signature inJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021Review
- Pyrococcus furiosus Argonaute coupled with modified ligase chain reaction for detection of SARS-CoV-2 and HPV.Talanta · 2021Article
- G-quadruplex based biosensor: A potential tool for SARS-CoV-2 detection.Biosensors & bioelectronics · 2020Review
- A Fluorescent Sensor Based on Reversible Addition-Fragmentation Chain Transfer Polymerization for the Early Diagnosis of Non-small Cell Lung Cancer.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020Article
- Amplification chemistries in clinical virology.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2019Review
- Detection of KRAS mutation via ligation-initiated LAMP reaction.Scientific reports · 2019Article
- Analysis of p.Gly12Valfs*2, p.Trp24* and p.Trp77Arg mutations in GJB2 and p.Arg81Gln variant in LRTOMT among non syndromic hearing loss Egyptian patients: implications for genetic diagnosis.Molecular biology reports · 2019Article
- EPCAM mutation update: Variants associated with congenital tufting enteropathy and Lynch syndrome.Human mutation · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic variants have been reported to cause several genetic diseases. Various genotyping assays have been developed for diagnostic and screening purposes but with certain limitations in sensitivity, specificity, cost effectiveness and/or time savings. Since the discovery of ligase chain reaction (LCR) in the late nineties, it became one of the most favored platforms for detecting these variants and also for genotyping low abundant contaminants. Recent and powerful modifications with the integration of various detection strategies such as electrochemical and magnetic biosensors, nanoparticles (NPs), quantum dots, quartz crystal and leaky surface acoustic surface biosensors, DNAzyme, rolling circle amplification (RCA), strand displacement amplification (SDA), surface enhanced raman scattering (SERS), chemiluminescence and fluorescence resonance energy transfer have been introduced to both LCR and ligation based amplifications to enable high-throughput and inexpensive multiplex genotyping with improved robustness, simplicity, sensitivity and specificity. In this article, classical and up to date modifications in LCR and ligation based amplifications are critically evaluated and compared with emphasis on points of strength and weakness, sensitivity, cost, running time, equipment needed, applications and multiplexing potential. Versatile genotyping applications such as genetic diseases detection, bacterial and viral pathogens detection are also detailed. Ligation based gold NPs biosensor, ligation based RCA and ligation mediated SDA assays enhanced detection limit tremendously with a discrimination power approaching 1.5aM, 2aM and 0.1fM respectively. MLPA (multiplexed ligation dependent probe amplification) and SNPlex assays have been commercialized for multiplex detection of at least 48 SNPs at a time. MOL-PCR (multiplex oligonucleotide ligation) has high-throughput capability with multiplex detection of 50 SNPs/well in a 96 well plate. Ligase detection reaction (LDR) is one of the most widely used LCR versions that have been successfully integrated with several detection strategies with improved sensitivity down to 0.4fM.
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Registered trials
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.