Evidence map›Paper›PMID 19056844›Full record

ArticleThe Journal of molecular diagnostics : JMD2009

Single nucleotide polymorphism-based system improves the applicability of quantitative PCR for chimerism monitoring.

Egle Gineikiene, Mindaugas Stoskus, Laimonas Griskevicius

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

3 authors.

Egle GineikieneHematology, Oncology, and Transfusion Medicine Center, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania. Electronic address: egle.gineikiene@santa.lt.
Mindaugas StoskusHematology, Oncology, and Transfusion Medicine Center, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania.
Laimonas GriskeviciusHematology, Oncology, and Transfusion Medicine Center, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania; Clinics of Internal, Family Medicine, and Oncology, Vilnius University, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, several studies demonstrated the feasibility of a real-time quantitative PCR (qPCR) approach for chimerism monitoring. qPCR offers a fast, sensitive, and elegant quantification of genotypes. However, before it becomes an established method for routine chimerism monitoring, a qPCR marker set for every transplant pair should be available. This requirement poses a major challenge since the genetic markers for qPCR--short insertions/deletions (Indels) and single nucleotide polymorphisms (SNPs)--published to-date do not guarantee applicability for every transplant pair. The aim of our study was to design and validate a new SNP allele-specific system to supplement an already existing Indel primer panel and improve applicability of the qPCR approach for chimerism status monitoring. Here, we present an approach for an economical in-house design of SNP allele-specific qPCR primers/probe sets with a locus-individualized reference system that allows for the accurate quantification of the respective informative locus using a simple DeltaDeltaCt method. We designed primers/probe sets specific for seven biallelic SNP loci and validated them in a population of 30 transplant pairs. Repeatability varied depending on the amount of quantifiable genotype. The combination of our SNP-qPCR system and Indel primers increased recipient genotype identification from 86.6% to 96.6% when tested in a population of our transplant pairs. These results demonstrate the feasibility of our SNP-based qPCR approach to improve the applicability of a qPCR for chimerism monitoring.

Indexed as

ChimerismGenetic MarkersPolymorphism, Single NucleotideAllelesBone Marrow TransplantationDNA PrimersGenotypeHumansPolymerase Chain ReactionDNA PrimersGenetic Markers

Identifiers

PMID19056844
PMCPMC2607568

What OpenQuestion holds

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Registered trials

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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.