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Characterization of 114 Insertion/deletion (INDEL) Polymorphisms, and Selection for a Global INDEL Panel for Human Identification

NCJ Number
310172
Journal
Legal Medicine Volume: 16 Issue: 1 Dated: January 2014 Pages: 26-32
Author(s)
Bobby L. Larue; Robert Lagacé; Chien-wei Chang; Allison Holt; Lori Hennessy; Jianye Ge; Et Al
Date Published
January 2014
Length
7 pages
Annotation

This article reports on genotype and allele frequency distributions that were generated for 114 candidate insertion/deletion polymorphisms (INDELs) in four major population groups from North America, resulting in two subpanels of INDELs that may be well-suited for use in a global INDEL panel for human identification.

Abstract

Bi-Allelic Insertions and Deletions (INDELs) are a powerful set of genetic markers for Human Identification (HID). They have certain desirable features, such as low mutation rates, no stutter, and potentially small amplicon sizes that could prove effective in some circumstances. In this study, the authors analyzed the distribution of 114 INDELs in four North American populations (Caucasian, African American, Southwest Hispanic, and Asian) to estimate their distribution in major global populations. Of the 114 INDELs a primary panel of 38 candidate markers was selected that met the criteria of (1) a minimum allele frequency of greater than 0.20 across the populations studied; (2) general concordance with Hardy–Weinberg equilibrium (HWE) expectations; (3) relatively low FST based on the major populations; (4) physical distance between markers greater than 40 Mbp; and (5) a lack of linkage disequilibria between syntenic markers. Additionally, another 11 supplemental markers were selected for an expanded panel of 49 markers which met the above criteria, with the exception that they are separated at least by 20 Mbp. The resulting panels had Random Match Probabilities that were at least 10−16 and 10−19, respectively, and combined FST values of approximately 0.02. Given these findings, these INDELs should be useful for HID. (Published Abstract Provided)