NDLI: Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units

Content Provider	IEEE Xplore Digital Library
Author	Aminian, M. Shabbeer, A. Bennett, K.P.
Copyright Year	2009
Abstract	Abstract—We present a novel Bayesian network (BN) to classify strains of Mycobacterium tuberculosis Complex (MTBC) into six major genetic lineages using mycobacterial interspersed repetitive units (MIRUs), a high-throughput biomarker. MTBC is the causative agent of tuberculosis (TB), which remains one of the leading causes of disease and morbidity world-wide. DNA fingerprinting methods such as MIRU are key components of modern TB control and tracking. The BN achieves high accuracy on four large MTBC genotype collections consisting of over 4700 distinct 12-loci MIRU genotypes. The BN captures distinct MIRU signatures associated with each lineage, explaining the excellent performance of the BN. The errors in the BN support the need for additional biomarkers such as the expanded 24-loci MIRU used in CDC genotyping labs since May 2009. The conditional independence assumption of each locus given the lineage makes the BN easily extensible to additional MIRU loci and other biomarkers.
Starting Page	338
Ending Page	343
File Size	290944
Page Count	6
File Format	PDF
ISBN	9780769538853
DOI	10.1109/BIBM.2009.86
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	tuberculosis Fingerprint recognition Capacitive sensors Diseases Content addressable storage Databases Bayesian methods DNA lineages Biomarkers Genetics MIRU-VNTR Bayesian network Immune system
Content Type	Text
Resource Type	Article

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