Informativeness of genetic markers for forensic inference--An information theoretic approach

Steffen L. Lauritzen*, Anjali Mazumder

*Corresponding author for this work
3 Citations (Scopus)

Abstract

Forensic inference from genetic markers uses highly polymorphic multi-locus genotypes. Measures of informativeness can aid in selecting efficient genetic markers. Existing measures do not account for multiple sources of genetic variation (i.e. mutation, silent alleles, etc.) and they are not directly applicable to complex identification problems. Using information theoretic principles within a probabilistic expert system (PES) we define a general measure of informativeness, Iq, of a marker for answering a forensic query. Iq gives a slightly different ranking of most genetic markers as its comparable measures. Accounting for sources of variation such as mutation, silent and null alleles reduces Iq and may further affect ranking. This criterion has a solid theoretical basis and can account for multiple sources of genetic variation and other anomalies. It can be directly applied to a variety of planning issues concerning the type, quantity and specific choice of markers for use in paternity testing and more general forensic problems.

Original languageEnglish
JournalForensic Science International: Genetics Supplement Series
Volume1
Issue number1
Pages (from-to)652-653
Number of pages2
ISSN1875-1768
DOIs
Publication statusPublished - 1 Aug 2008

Keywords

  • Bayesian networks
  • Entropy
  • Mutual information
  • Paternity testing
  • Planning
  • Probabilistic expert systems

Fingerprint

Dive into the research topics of 'Informativeness of genetic markers for forensic inference--An information theoretic approach'. Together they form a unique fingerprint.

Cite this