Literature DB >> 21813350

DNA microarray as a tool in establishing genetic relatedness--Current status and future prospects.

Daniel Kling1, Jenny Welander, Andreas Tillmar, Oivind Skare, Thore Egeland, Gunilla Holmlund.   

Abstract

In the past decades, microarray technology has definitely put an edge to the field of genetic research. Our aim was to determine whether single nucleotide polymorphism (SNP) microarrays could be used as a tool in establishing genetic relationships where current molecular genetic methods are not sufficient. We used the Genechip, Affymetrix GenomeWide SNP Array 6.0, which detects more than 900,000 SNP markers dispersed throughout the human genome. The intention was to find a good selection of SNP markers that could be used for statistical evaluation of relatedness in a forensic setting. We conducted pairwise comparisons in the R-package FEST as well as pedigree comparisons in Merlin. Our methods were applied on two separate families, where relationships as distant as 3rd cousins were known. In addition, a question about a possible common ancestry between the two families was tested. Relationships as distant as 2nd cousins could be readily distinguished both from unrelated and other, genetically, closer relationships. This was achieved with a selection of 5774 markers, where each pair of markers was separated by a genetic distance of at least 0.5cM (centiMorgan). When considering 3rd cousins, and more distant relationships, the number of markers needs to be extended, consequently decreasing the genetic distance between the markers. However, inclusion of a too large number of markers presents new challenges and our results imply that the use of too dense sets of markers always yields the highest probability for the genetically closest relationship hypothesis. Simulations confirm that this is most probably caused by the fact that the computational model assumes linkage equilibrium between markers, a problem that will be further evaluated. Our results do however suggest that SNP-data derived from microarrays are well suited for kinship determination provided linkage disequilibrium is properly accounted for. Copyright Â
© 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21813350     DOI: 10.1016/j.fsigen.2011.07.007

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  6 in total

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Journal:  PLoS One       Date:  2016-07-29       Impact factor: 3.240

Review 5.  Strategies for determining kinship in wild populations using genetic data.

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  6 in total

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