Bone Marrow Engraftment Monitoring Using Mixture Deconvolution Software Designed for Forensic Casework.

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dc.contributor.advisorWarren, Joseph
dc.creatorNewman, Alexandra
dc.date.accessioned2019-08-22T21:01:11Z
dc.date.available2019-08-22T21:01:11Z
dc.date.issued2009-08-01
dc.date.submitted2010-03-11T09:10:34-08:00
dc.description.abstractFollowing a bone marrow transplant, patients are monitored closely for evidence of graft rejection or recurrence of the original disease. Bone marrow transplantation creates a donor-recipient cellular chimerism in the patient, which can be quantitively measured through short tandem repeat (STR) analysis of peripheral whole blood to determine the percent chimerism of the sample. Increasing recipient chimerism is an indication of graft rejection or relapse. Software programs designed to analyze forensic mixture samples have the potential to be useful in analyzing post-transplant mixed chimeric samples. Post-transplant samples were analyzed using three mixture deconvolution software programs. The programs were fast, accurate and consistent in determining the mixing proportions of the samples and the three programs gave concordant results.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12503/29003
dc.language.isoen
dc.provenance.legacyDownloads4927
dc.subjectMedical Sciences
dc.subjectMedicine and Health Sciences
dc.subjectOther Genetics and Genomics
dc.subjectbone marrow transplant
dc.subjectmixture deconvolution
dc.subjectforensic
dc.subjecthematopoietic stem cell transplant
dc.titleBone Marrow Engraftment Monitoring Using Mixture Deconvolution Software Designed for Forensic Casework.
dc.typeInternship Practicum Report
dc.type.materialtext
thesis.degree.departmentGraduate School of Biomedical Sciences
thesis.degree.disciplineForensic Genetics
thesis.degree.grantorUniversity of North Texas Health Science Center at Fort Worth
thesis.degree.nameMaster of Science

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