Literature DB >> 17384212

Single nucleotide polymorphism profiling assay to confirm the identity of human tissues.

Ronald Huijsmans1, Jan Damen, Hans van der Linden, Mirjam Hermans.   

Abstract

To identify issues of sample mix-ups, various molecular techniques are currently used. These techniques, however, are time consuming and require experience and/or DNA sequencing equipment or have a relatively high risk of errors because of contamination. Therefore, a quick and straightforward single nucleotide polymorphism (SNP) profiling assay was developed to link human tissues to a source. SNPs are common sequence variations in the human genome, and each individual has a unique combination of these nucleotide variations. Using potentially mislabeled paraffin-embedded tissues, DNA was extracted and SNP profiles were determined by real-time polymerase chain reaction analysis of the purified DNA using a selection of 10 commercially available SNP amplification assays. These profiles were compared with profiles of the supposed owners. All issues (34 in total) of potential sample mix-ups during the last 3 years were adequately solved, with six cases described here. The SNP profiling assay provides a quick (within 24 hours), easy, and reliable way to link human samples to a source, without polymerase chain reaction postprocessing. The chance for two randomly chosen individuals to have an identical profile is 1 in 18,000. Solving potential sample mix-ups will secure downstream evaluations and critical decisions concerning the patients involved.

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Year:  2007        PMID: 17384212      PMCID: PMC1867440          DOI: 10.2353/jmoldx.2007.060059

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  39 in total

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Authors:  Hiroyoshi Koyama; Mineo Iwasa; Tsukasa Tsuchimochi; Yoshitaka Maeno; Ichiro Isobe; Tomohiro Matsumoto; Masataka Nagao
Journal:  Am J Forensic Med Pathol       Date:  2002-06       Impact factor: 0.921

2.  Development and validation of the AmpFlSTR Yfiler PCR amplification kit: a male specific, single amplification 17 Y-STR multiplex system.

Authors:  Julio J Mulero; Chien Wei Chang; Lisa M Calandro; Robert L Green; Yixin Li; Cassie L Johnson; Lori K Hennessy
Journal:  J Forensic Sci       Date:  2006-01       Impact factor: 1.832

3.  MENDELIAN PROPORTIONS IN A MIXED POPULATION.

Authors:  G H Hardy
Journal:  Science       Date:  1908-07-10       Impact factor: 47.728

4.  Report of the blind trial of the Cetus Amplitype HLA DQ alpha forensic deoxyribonucleic acid (DNA) amplification and typing kit.

Authors:  P S Walsh; N Fildes; A S Louie; R Higuchi
Journal:  J Forensic Sci       Date:  1991-09       Impact factor: 1.832

5.  Local audit of surgical pathology. 18 month's experience of peer review-based quality assessment in an English teaching hospital.

Authors:  A D Ramsay; P J Gallagher
Journal:  Am J Surg Pathol       Date:  1992-05       Impact factor: 6.394

6.  Sequence-specific arrest of primer extension on single-stranded DNA by an oligonucleotide-minor groove binder conjugate.

Authors:  I Afonina; I Kutyavin; E Lukhtanov; R B Meyer; H Gamper
Journal:  Proc Natl Acad Sci U S A       Date:  1996-04-16       Impact factor: 11.205

7.  Genetic analysis of hydatidiform moles in paraffin wax embedded tissue using rapid, sequence specific PCR-based HLA class II typing.

Authors:  A C Bateman; S K Hemmatpour; J M Theaker; W M Howell
Journal:  J Clin Pathol       Date:  1997-04       Impact factor: 3.411

8.  Genome-wide allelotyping of lung cancer identifies new regions of allelic loss, differences between small cell lung cancer and non-small cell lung cancer, and loci clustering.

Authors:  L Girard; S Zöchbauer-Müller; A K Virmani; A F Gazdar; J D Minna
Journal:  Cancer Res       Date:  2000-09-01       Impact factor: 12.701

9.  Fractional allele loss is a valuable marker for human lung cancer detection in sputum.

Authors:  Demetrios A Arvanitis; Emmanuel Papadakis; Alexander Zafiropoulos; Demetrios A Spandidos
Journal:  Lung Cancer       Date:  2003-04       Impact factor: 5.705

10.  Investigation of specimen mislabelling in paraffin-embedded tissue using a rapid, allele-specific, PCR-based HLA class II typing method.

Authors:  A C Bateman; D A Sage; R K Al-Talib; J M Theaker; D B Jones; W M Howell
Journal:  Histopathology       Date:  1996-02       Impact factor: 5.087

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  6 in total

1.  Clinical Validation of Discordant Trunk Driver Mutations in Paired Primary and Metastatic Lung Cancer Specimens.

Authors:  Li-Hui Tseng; Federico De Marchi; Aparna Pallavajjalla; Erika Rodriguez; Rena Xian; Deborah Belchis; Christopher D Gocke; James R Eshleman; Peter Illei; Ming-Tseh Lin
Journal:  Am J Clin Pathol       Date:  2019-10-07       Impact factor: 2.493

2.  Single-nucleotide-polymorphism genotyping of Coxiella burnetii during a Q fever outbreak in The Netherlands.

Authors:  Cornelis J J Huijsmans; Jeroen J A Schellekens; Peter C Wever; Rudolf Toman; Paul H M Savelkoul; Ingmar Janse; Mirjam H A Hermans
Journal:  Appl Environ Microbiol       Date:  2011-01-21       Impact factor: 4.792

3.  A new strategy to confirm the identity of tumour tissues using single-nucleotide polymorphisms and next-generation sequencing.

Authors:  Lijuan Sun; Qi Liu; Shujin Li; Guanju Ma; Zhandong Wang; Chunling Ma; Bin Cong; Lihong Fu
Journal:  Int J Legal Med       Date:  2019-12-06       Impact factor: 2.686

4.  Comparative analysis of four methods to extract DNA from paraffin-embedded tissues: effect on downstream molecular applications.

Authors:  Cornelis Jj Huijsmans; Jan Damen; Johannes C van der Linden; Paul Hm Savelkoul; Mirjam Ha Hermans
Journal:  BMC Res Notes       Date:  2010-09-14

5.  Single nucleotide polymorphism (SNP)-based loss of heterozygosity (LOH) testing by real time PCR in patients suspect of myeloproliferative disease.

Authors:  Cornelis J J Huijsmans; Jeroen Poodt; Jan Damen; Johannes C van der Linden; Paul H M Savelkoul; Johannes F M Pruijt; Mirrian Hilbink; Mirjam H A Hermans
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

6.  Identification and Correction of Sample Mix-Ups in Expression Genetic Data: A Case Study.

Authors:  Karl W Broman; Mark P Keller; Aimee Teo Broman; Christina Kendziorski; Brian S Yandell; Śaunak Sen; Alan D Attie
Journal:  G3 (Bethesda)       Date:  2015-08-19       Impact factor: 3.154

  6 in total

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