Evidence map›Paper›PMID 39818318›Full record

ArticleThe Journal of molecular diagnostics : JMD2025

A Software Tool for Reagent Design to Expand Access to Single-Nucleotide Variant Detection by the Oligonucleotide Ligation Assay.

Dalton J Nelson, Kunal Chugh, Heather H Pua, Frederick R Haselton

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Dalton J NelsonDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.
Kunal ChughDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.
Heather H PuaDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.
Frederick R HaseltonDepartment of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee. Electronic address: rick.haselton@vanderbilt.edu.

Funding

Point-of-Care RT-PCR System to Inform COVID-19 and Respiratory Illness DecisionsR01AI157827 · NIAID · VANDERBILT UNIVERSITY · PI Frederick R Haselton, Jonathan E Schmitz · 2020 to 2026
$4.7M
NIAID NIH HHS R01 AI157827
6 · The paper itself

Abstract

Single-nucleotide variants (SNVs) and polymorphisms are characteristic biomarkers in various biological contexts, including pathogen drug resistances and human diseases. Tools that lower the implementation barrier of molecular SNV detection methods would provide greater leverage of the expanding single-nucleotide polymorphism/SNV database. The oligonucleotide ligation assay (OLA) is a highly specific means for detection of known SNVs and is especially powerful when coupled with PCR. Yet, the OLA design process remains intensive, and criteria for success are uncertain. To assist in the design process, this study describes OLAgen, an open-source tool to automate development of OLAs and their coupled PCR assays. The software facilitates alignment of sequences surrounding SNVs and generates ligation probes while screening for dimerization potential. OLAgen successfully produced ligation probes that closely matched previously validated designs for HIV-1, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and KRAS, confirming its reliability and potential for clinical applications. The tool was used to generate new assays targeting Mycobacterium tuberculosis drug resistance and variants in the human JAK2, BRAF, and factor V genes, all of which demonstrated 100% sensitivity and specificity in controlled laboratory experiments. The OLAgen predicted assay designs detected mutant frequencies as low as 1% to 5% in wild-type backgrounds in proof-of-concept laboratory studies. OLAgen represents a significant advancement in accessible assay design, promoting the broader application of OLA technology in clinical and research settings.

Indexed as

Polymorphism, Single NucleotideSoftwareCOVID-19HIV-1HumansMycobacterium tuberculosisOligonucleotidesPolymerase Chain ReactionProto-Oncogene Proteins p21(ras)SARS-CoV-2KRAS protein, humanOligonucleotidesProto-Oncogene Proteins p21(ras)

Identifiers

PMID39818318
PMCPMC12179523

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.