Individual Identifiability Predicts Population Identifiability in Forensic Microsatellite Markers.
TLDR
It is concluded that population identifiability regularly follows as a byproduct of the use of highly polymorphic forensic markers, and the design of new forensic marker sets is examined.About:
This article is published in Current Biology.The article was published on 2016-04-04 and is currently open access. It has received 54 citations till now. The article focuses on the topics: Identifiability & Population.read more
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Evaluating 130 microhaplotypes across a global set of 83 populations
Kenneth K. Kidd,William C. Speed,Andrew J. Pakstis,Daniele Podini,Robert Lagacé,Joseph Chang,Sharon Wootton,Eva Haigh,Usha Soundararajan +8 more
TL;DR: A new type of forensic marker, microhaplotype loci, is investigated that will provide useful information on mixtures of DNA and on ancestry when typed using massively parallel sequencing (MPS).
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Microhaplotypes in forensic genetics
TL;DR: The features of these multi-SNP markers are described and their value in forensic genetics is documents, focusing on individualization, biogeographic ancestry inference, and mixture deconvolution.
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Linkage disequilibrium matches forensic genetic records to disjoint genomic marker sets
TL;DR: The method can link a dataset similar to those used in genomic studies with another dataset containing markers used for forensics, and it shows that records can be matched across genotype datasets that have no shared markers based on linkage disequilibrium between loci appearing in different datasets.
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Forensic Autosomal Short Tandem Repeats and Their Potential Association With Phenotype
TL;DR: In this review, the possibility that forensic STRs could provide information beyond mere identity is evaluated and the likelihood of identifying significant associations is increasing as the function of non-coding STRs in gene expression is steadily revealed.
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Selecting microhaplotypes optimized for different purposes.
Kenneth K. Kidd,Andrew J. Pakstis,William C. Speed,Robert Lagacé,Sharon Wootton,Joseph Chang +5 more
TL;DR: This work presents various analyses on 83 populations in their ongoing study for a subset of the best microhaplotypes currently available illustrating their characteristics and potential utility for ancestry, identification, and mixture deconvolution.
References
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Inference of population structure using multilocus genotype data
TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
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Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.
TL;DR: It is found that in most cases the estimated ‘log probability of data’ does not provide a correct estimation of the number of clusters, K, and using an ad hoc statistic ΔK based on the rate of change in the log probability between successive K values, structure accurately detects the uppermost hierarchical level of structure for the scenarios the authors tested.
Book
Principal Component Analysis
TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
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Principal Component Analysis
TL;DR: Principal component analysis (PCA) as discussed by the authors replaces the p original variables by a smaller number, q, of derived variables, the principal components, which are linear combinations of the original variables.
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Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies
TL;DR: Extensions to the method of Pritchard et al. for inferring population structure from multilocus genotype data are described and methods that allow for linkage between loci are developed, which allows identification of subtle population subdivisions that were not detectable using the existing method.