Literature DB >> 11232110

Use of single nucleotide polymorphisms (SNP) and real-time polymerase chain reaction for bone marrow engraftment analysis.

D H Oliver1, R E Thompson, C A Griffin, J R Eshleman.   

Abstract

Allogeneic bone marrow transplant engraftment assays use polymorphisms in the human genome to determine the relative percentages of donor and recipient cells present in the recipient. We describe a novel posttransplant assay approach using single nucleotide polymorphisms (SNPs), the most common type of polymorphism in humans. Using samples of defined genotype, we used real-time polymerase chain reaction (PCR) and allele-specific fluorescent TaqMan probes to assay a SNP of the cytochrome P450 CYP2C9 gene. Standard curves of chimeric mixes showed a linear relationship between the ratio of two alleles and the ratio of their respective fluorophore emission, except for mixes with a low percentage (< 5%) of the less common allele. We validated the SNP real-time PCR assay by comparing it to Southern hybridization analysis, analyzing DNA mixes in a blinded fashion with both methods. The correlation between the two methods was high. We have produced a statistical model that varies allele frequency to predict how many SNPs would be required to produce a functional SNP panel. Additional development will be necessary to produce such a panel of highly informative SNPs for clinical use. A real-time PCR SNP assay may ultimately provide more accurate quantification and shortened turnaround time compared to current post-engraftment assays.

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Year:  2000        PMID: 11232110      PMCID: PMC1906915          DOI: 10.1016/S1525-1578(10)60638-1

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


  20 in total

Review 1.  Single nucleotide polymorphism libraries: why and how are we building them?

Authors:  P Y Kwok; Z Gu
Journal:  Mol Med Today       Date:  1999-12

2.  Evaluation of an automated technique for assessment of marrow engraftment after allogeneic bone marrow transplantation using a commercially available kit.

Authors:  J D Nuckols; B K Rasheed; R C McGlennen; S H Bigner; T T Stenzel
Journal:  Am J Clin Pathol       Date:  2000-01       Impact factor: 2.493

3.  Characterization of a panel of highly variable minisatellites cloned from human DNA.

Authors:  Z Wong; V Wilson; I Patel; S Povey; A J Jeffreys
Journal:  Ann Hum Genet       Date:  1987-10       Impact factor: 1.670

4.  Use of DNA restriction fragment length polymorphisms to document marrow engraftment and mixed hematopoietic chimerism following bone marrow transplantation.

Authors:  P Y Yam; L D Petz; R G Knowlton; R B Wallace; A D Stock; G de Lange; V A Brown; H Donis-Keller; K G Blume
Journal:  Transplantation       Date:  1987-03       Impact factor: 4.939

5.  DNA typing for bone marrow engraftment follow-up after allogeneic transplant: a comparative study of current technologies.

Authors:  B Leclair; C J Frégeau; M T Aye; R M Fourney
Journal:  Bone Marrow Transplant       Date:  1995-07       Impact factor: 5.483

6.  Quantitative determination of bone marrow transplant engraftment using fluorescent polymerase chain reaction primers for human identity markers.

Authors:  S J Scharf; A G Smith; J A Hansen; C McFarland; H A Erlich
Journal:  Blood       Date:  1995-04-01       Impact factor: 22.113

7.  Use of highly polymorphic DNA probes for genotypic analysis following bone marrow transplantation.

Authors:  R G Knowlton; V A Brown; J C Braman; D Barker; J W Schumm; C Murray; T Takvorian; J Ritz; H Donis-Keller
Journal:  Blood       Date:  1986-08       Impact factor: 22.113

8.  Retrospective investigation of hematopoietic chimerism after BMT by PCR amplification of hypervariable DNA regions.

Authors:  L Stuppia; G Calabrese; P Di Bartolomeo; R Peila; P G Franchi; E Morizio; G Palka
Journal:  Cancer Genet Cytogenet       Date:  1995-12

9.  Description of an efficient and highly informative method for the evaluation of hematopoietic chimerism following allogeneic bone marrow transplantation.

Authors:  A R Oberkircher; M P Strout; G P Herzig; P D Fritz; M A Caligiuri
Journal:  Bone Marrow Transplant       Date:  1995-11       Impact factor: 5.483

10.  Restriction fragment length polymorphisms as markers of engraftment in allogeneic marrow transplantation.

Authors:  B R Blazar; H T Orr; D C Arthur; J H Kersey; A H Filipovich
Journal:  Blood       Date:  1985-12       Impact factor: 22.113

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  13 in total

1.  Chimerism interpretation with a highly sensitive quantitative PCR method: 6 months median latency before chimerism drop below 0.1.

Authors:  D C Vicente; A B A Laranjeira; E C M Miranda; J A Yunes; C A de Souza
Journal:  Bone Marrow Transplant       Date:  2016-02-15       Impact factor: 5.483

2.  Application of traditional clinical pathology quality control techniques to molecular pathology.

Authors:  Shu-Ling Liang; Ming-Tseh Lin; Michael J Hafez; Christopher D Gocke; Kathleen M Murphy; Lori J Sokoll; James R Eshleman
Journal:  J Mol Diagn       Date:  2008-02-07       Impact factor: 5.568

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

Authors:  Egle Gineikiene; Mindaugas Stoskus; Laimonas Griskevicius
Journal:  J Mol Diagn       Date:  2008-12-04       Impact factor: 5.568

4.  In situ genetic analysis of cellular chimerism.

Authors:  David Wu; Quynh Vu; Anhthu Nguyen; James R Stone; Hannah Stubbs; Georgiana Kuhlmann; Lynette M Sholl; A John Iafrate
Journal:  Nat Med       Date:  2009-01-18       Impact factor: 53.440

5.  Haplotype counting by next-generation sequencing for ultrasensitive human DNA detection.

Authors:  Marija Debeljak; Donald N Freed; Jane A Welch; Lisa Haley; Katie Beierl; Brian S Iglehart; Aparna Pallavajjala; Christopher D Gocke; Mary S Leffell; Ming-Tseh Lin; Jonathan Pevsner; Sarah J Wheelan; James R Eshleman
Journal:  J Mol Diagn       Date:  2014-09       Impact factor: 5.568

6.  Haplotype Counting for Sensitive Chimerism Testing: Potential for Early Leukemia Relapse Detection.

Authors:  Marija Debeljak; Evelina Mocci; Max C Morrison; Aparna Pallavajjalla; Katie Beierl; Marie Amiel; Michaël Noë; Laura D Wood; Ming-Tseh Lin; Christopher D Gocke; Alison P Klein; Ephraim J Fuchs; Richard J Jones; James R Eshleman
Journal:  J Mol Diagn       Date:  2017-05       Impact factor: 5.568

7.  Detection of the Bacillus anthracis gyrA gene by using a minor groove binder probe.

Authors:  William Hurtle; Elizabeth Bode; David A Kulesh; Rebecca Susan Kaplan; Jeff Garrison; Deanna Bridge; Michelle House; Melissa S Frye; Bonnie Loveless; David Norwood
Journal:  J Clin Microbiol       Date:  2004-01       Impact factor: 5.948

8.  Quantify single nucleotide polymorphism (SNP) ratio in pooled DNA based on normalized fluorescence real-time PCR.

Authors:  Airong Yu; Haifeng Geng; Xuerui Zhou
Journal:  BMC Genomics       Date:  2006-06-09       Impact factor: 3.969

9.  Quantification of the pirimicarb resistance allele frequency in pooled cotton aphid (Aphis gossypii Glover) samples by TaqMan SNP genotyping assay.

Authors:  Yizhou Chen; Daniel R Bogema; Idris M Barchia; Grant A Herron
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

10.  Enhanced specificity of TPMT*2 genotyping using unidirectional wild-type and mutant allele-specific scorpion primers in a single tube.

Authors:  Dong Chen; Zhao Yang; Han Xia; Jun-Fu Huang; Yang Zhang; Tian-Nun Jiang; Gui-Yu Wang; Zheng-Ran Chuai; Wei-Ling Fu; Qing Huang
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

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