Development of a forensic identity SNP panel for Indonesia

Daniel Augustinus, Michelle GAHAN, Dennis MCNEVIN

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Genetic markers included in forensic identity panels must exhibit Hardy-Weinberg and linkage equilibrium (HWE and LE). “Universal” panels designed for global use can fail these tests in regional jurisdictions exhibiting high levels of genetic differentiation such as the Indonesian archipelago. This is especially the case where a single DNA database is required for allele frequency estimates to calculate random match probabilities (RMPs) and associated likelihood ratios (LRs). A panel of 65 single nucleotide polymorphisms (SNPs) and a reduced set of 52 SNPs have been selected from 15 Indonesian subpopulations in the HUGO Pan Asian SNP database using a SNP selection strategy that could be applied to any panel of forensic identity markers. The strategy consists of four screening steps: (1) application of a G test for HWE; (2) ranking for high heterozygosity; (3) selection for LE; and (4) selection for low inbreeding depression. SNPs in our Indonesian panel perform well in comparison to some other universal SNP and short tandem repeat (STR) panels as measured by Fisher’s exact test for HWE and LE and Wright’s F statistics
Original languageEnglish
Pages (from-to)681–691
Number of pages11
JournalInternational Journal of Legal Medicine
Volume129
Issue number4
DOIs
Publication statusPublished - Jul 2015

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Indonesia
Single Nucleotide Polymorphism
Nucleic Acid Databases
Genetic Markers
Gene Frequency
Microsatellite Repeats
Databases

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Augustinus, Daniel ; GAHAN, Michelle ; MCNEVIN, Dennis. / Development of a forensic identity SNP panel for Indonesia. In: International Journal of Legal Medicine. 2015 ; Vol. 129, No. 4. pp. 681–691.
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Development of a forensic identity SNP panel for Indonesia. / Augustinus, Daniel; GAHAN, Michelle; MCNEVIN, Dennis.

In: International Journal of Legal Medicine, Vol. 129, No. 4, 07.2015, p. 681–691.

Research output: Contribution to journalArticle

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