Development and validation of large-scale SNP sets for forensic purposes

dc.contributor.advisorLareu Huidobro, María Victoria
dc.contributor.advisorPhillips, Christopher Paul
dc.contributor.affiliationUniversidade de Santiago de Compostela. Escola de Doutoramento Internacional (EDIUS)
dc.contributor.authorRuiz Ramírez, Jorge
dc.date.accessioned2025-04-22T08:44:45Z
dc.date.available2025-04-22T08:44:45Z
dc.date.issued2025
dc.description.abstractSTRs (Short Tandem Repeats), DNA polymorphisms formed by a core of 2-7 base pairs (bp) that is repeated in tandem, represent the gold standard in forensic genetics and are used for the resolution of the vast majority of cases. They can be used to perform a rapid analysis, are very informative and are a standardized tool, which in turn facilitates the comparison of results between laboratories and their storage in databases of forensic interest. The main application of this type of marker is based on its capacity for individualization, i.e. to differentiate the genetic profile of two different people (except for monozygotic twins). This allows, for example, to determine the probability of a kinship relationship between two suspected relatives through the statistical evaluation of their genetic profiles, or to establish the probability that a suspect has contributed to the profile of the sample obtained at a crime scene.
dc.description.programaUniversidade de Santiago de Compostela. Programa de Doutoramento en Avances e Novas Estratexias en Ciencias Forenses
dc.identifier.urihttps://hdl.handle.net/10347/40910
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMPS
dc.subjectforensic genetics
dc.subjectbiogeographic origin
dc.subjectmissing persons identification
dc.subject.classification3203 Medicina forense
dc.subject.classification241007 Genética humana
dc.titleDevelopment and validation of large-scale SNP sets for forensic purposes
dc.typedoctoral thesis
dspace.entity.typePublication
relation.isAdvisorOfPublication50e24b5d-7ecd-4ec6-a7b6-7c13b54c370c
relation.isAdvisorOfPublication.latestForDiscovery50e24b5d-7ecd-4ec6-a7b6-7c13b54c370c

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