Cargando…

Transcriptome variation in human populations and its potential application in forensics

This review presents the state-of-the-art in the forensic application of genetic methods driven by the research in population transcriptomics. In the first part of the review, the constraints of using classical genomic markers are shortly reviewed. In the second part, the developments in the field o...

Descripción completa

Detalles Bibliográficos
Autores principales: Daca-Roszak, P., Zietkiewicz, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803616/
https://www.ncbi.nlm.nih.gov/pubmed/31401728
http://dx.doi.org/10.1007/s13353-019-00510-1
_version_ 1783460979351224320
author Daca-Roszak, P.
Zietkiewicz, E.
author_facet Daca-Roszak, P.
Zietkiewicz, E.
author_sort Daca-Roszak, P.
collection PubMed
description This review presents the state-of-the-art in the forensic application of genetic methods driven by the research in population transcriptomics. In the first part of the review, the constraints of using classical genomic markers are shortly reviewed. In the second part, the developments in the field of inter-population diversity at the transcriptomic level are presented. Subsequently, a potential of population-specific transcriptomic markers in forensic science applications, including ascertaining population affiliation of human samples and cell mixtures separation, are presented.
format Online
Article
Text
id pubmed-6803616
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-68036162019-11-05 Transcriptome variation in human populations and its potential application in forensics Daca-Roszak, P. Zietkiewicz, E. J Appl Genet Human Genetics • Review This review presents the state-of-the-art in the forensic application of genetic methods driven by the research in population transcriptomics. In the first part of the review, the constraints of using classical genomic markers are shortly reviewed. In the second part, the developments in the field of inter-population diversity at the transcriptomic level are presented. Subsequently, a potential of population-specific transcriptomic markers in forensic science applications, including ascertaining population affiliation of human samples and cell mixtures separation, are presented. Springer Berlin Heidelberg 2019-08-10 2019 /pmc/articles/PMC6803616/ /pubmed/31401728 http://dx.doi.org/10.1007/s13353-019-00510-1 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Human Genetics • Review
Daca-Roszak, P.
Zietkiewicz, E.
Transcriptome variation in human populations and its potential application in forensics
title Transcriptome variation in human populations and its potential application in forensics
title_full Transcriptome variation in human populations and its potential application in forensics
title_fullStr Transcriptome variation in human populations and its potential application in forensics
title_full_unstemmed Transcriptome variation in human populations and its potential application in forensics
title_short Transcriptome variation in human populations and its potential application in forensics
title_sort transcriptome variation in human populations and its potential application in forensics
topic Human Genetics • Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803616/
https://www.ncbi.nlm.nih.gov/pubmed/31401728
http://dx.doi.org/10.1007/s13353-019-00510-1
work_keys_str_mv AT dacaroszakp transcriptomevariationinhumanpopulationsanditspotentialapplicationinforensics
AT zietkiewicze transcriptomevariationinhumanpopulationsanditspotentialapplicationinforensics