Evidence map›Paper›PMID 19644020›Full record

ArticleThe Journal of molecular diagnostics : JMD2009

Genotyping of frequent BRCA1/2 SNPs with unlabeled probes: a supplement to HRMCA mutation scanning, allowing the strong reduction of sequencing burden.

Kim De Leeneer, Ilse Coene, Bruce Poppe, Anne De Paepe, Kathleen Claes

Abstract read
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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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

5 authors.

Kim De LeeneerGhent University Hospital, De Pintelaan 185, B-9000 Gent, Belgium.
Ilse Coene
Bruce Poppe
Anne De Paepe
Kathleen Claes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We previously validated mutation scanning for BRCA1 and 2 using high-resolution melting curve analysis (HRMCA). Due to recurrent single nucleotide polymorphisms (SNPs), a considerable amount of sequencing work remains after HRMCA, as melting curves for SNPs and deleterious mutations may be similar. Here, we present a simple approach for the optimization of SNP genotyping with HRMCA using unlabeled probes. Protocols were optimized for 14 frequent SNPs in BRCA1 and 2. Two probes contained an additional mismatch to detect a rare polymorphism a few nucleotides upstream. PCR was performed in the presence of LCgreenPlus and analyzed on a Lightscanner. Genotyping assays were optimized with five wild-type, heterozygous, and homozygous mutant samples. Sensitivity and specificity of the assays were evaluated with a blind screening of 95 samples. All unlabeled probes correctly genotyped the SNPs. A 1:5 asymmetric primer ratio produced sufficient probe-strand duplexes to accurately genotype the SNP of interest. The most important parameter to optimize was the number of PCR cycles. By complementing our BRCA1/2 HRMCA with 14 unlabeled probe assays, we reduced the sequencing burden by three-fold. Our simple approach for optimization can be used as a blueprint to design genotyping assays for other genes. This is one of the largest studies reported to date and the first that presents an approach combining genotyping and mutation scanning of two large polymorphic genes.

Indexed as

GenotypeOligonucleotide ProbesApoptosis Regulatory ProteinsBRCA1 ProteinBRCA2 ProteinDNA Mutational AnalysisHumansMutationPolymerase Chain ReactionPolymorphism, Single NucleotideApoptosis Regulatory ProteinsBLID protein, humanBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanOligonucleotide Probes

Identifiers

PMID19644020
PMCPMC2729838

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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.