Table of Contents
Molecular Biology International
Volume 2010 (2010), Article ID 740152, 5 pages
Research Article

Allele Frequencies of 10 Autosomal STR Loci from Chakma and Tripura Tribal Populations in Bangladesh

1National Forensic DNA Profiling Laboratory, Department of Forensic Medicine, Dhaka Medical College, Dhaka 1000, Bangladesh
2Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh

Received 14 January 2010; Accepted 28 March 2010

Academic Editor: Alessandro Desideri

Copyright © 2010 Ahmad Ferdous et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Allele frequencies of ten autosomal STR loci, D3S1358, vWA, D16S539, D2S1338, D8S1179, D21S11, D18S51, D19S433, TH01, and FGA were investigated in Chakma and Tripura tribal populations of Bangladesh. In both the populations, all loci were in Hardy-Weinberg equilibrium except for FGA locus in Chakma and D21S11 in Tripura. All the loci were highly polymorphic in Chakma population with an observed heterozygosity of 0.7 and moderately polymorphic in Tripura population . However, both the population showed least polymorphism at TH01 locus . A comparison between Chakma and Tripura population data revealed statistically significant differences in allele frequency distribution for most of the loci. A similar comparison with the mainstream Bengali population using previously published data from this lab also showed significant difference in allele frequency with these two tribal populations.

1. Introduction

Short tandem repeats (STRs) are highly polymorphic sequences of nucleotides, which are abundant in eukaryotic genome. They form approximately 3% of the total human genome and occur on average in every 10 000 nucleotides [1]. Due to their small dimension, low mutation, and high level of polymorphism, these markers are intensely used as important genetic markers for mapping studies, disease diagnosis, and human identity testing [2]. STRs remained the mainstays in most of the forensic laboratories in the world for the last two decades, as these markers provide high statistical capability of discrimination and individualization [3]. With the growing number of laboratories which use STR markers, more and more population data are reported from all over the world.

In this study, we report the allele frequency data from Chakma and Tripura tribal population of Bangladesh. Besides the forensic uses, we find this study a very powerful adjunct for further regional and worldwide meta analysis.

2. Materials and Methods

2.1. Population

Liquid blood samples were collected from randomly selected 109 Chakma and 58 Tripura individuals in Bangladesh. There are four ethnic groups in Bangladesh; the Dravidian, proto-Australian, Mongolian, and Bengalis. The Bengalis are by far of all, constituting 98% of the population of the country. The Chakmas and Tripuras tribal groups along with Marmas, Garos, and Manipuris belong to the Mongoloid stock and are Sino-Tibetan in origin. They live in Chittagong Hill Tract, Khagrachari, and Bandarban districts along the eastern border of Bangladesh adjoining Myanmar and Indian states of Mizoram and Tripura. The Chittagong Hill Tracts host 13 main tribes of which Chakmas are largest single tribes in Bangladesh. According to the 2001 population census, there were about 300 000 Chakmas and 90 000 Tripuras. The Dravidian element of population is represented mainly by Oraons, a tribe of central India in origin. The Australoid group includes Khasias and Santals, mainly labourers in the tea garden at the Sylhet district.

2.2. DNA Extraction

DNA was extracted using the Chelex-100 method as described by Walsh et al. [4]. Extracted DNA was quantified by using NanoDrop-1000 (NanoDrop Technologies, Inc., Wilmington, DE 19810, USA).

2.3. PCR Amplification

Approximately 1-2 ng of template DNA was used for each PCR amplification process. Ten autosomal STR loci namely D3S1358, vWA, D16S539, D2S1338, D8S1179, D21S11, D18S51, D19S433, TH01, and FGA were coamplified using AmpFlSTR SGM Plus PCR amplification kit (Applied Biosystems, Foster City, CA, USA). The PCR reaction was carried out in a GenAmp PCR System 2720 (Appliled Biosystems). Thermal cycling parameters were setup according to the manufacturer’s protocol.

2.4. STR Typing

PCR-amplified fragments were separated and analyzed on ABI Prism 3100-avant Genetic Analyzer (Applied Biosystems) using POP-4 polymer and data collection software ver. 1.1. Data were sized using GeneScan Software version 3.7 and internal GeneScan-500 ROX size standard. Genotype of each locus was determined after comparison with allelic ladder using Genotyper software version 3.7 NT.

2.5. Analysis of Data

Allele frequencies at each locus and statistical parameters of forensic efficiency were calculated by using PowerStat Microsoft Excel Workbook template [5]. Possible divergence from Hardy-Weinberg equilibrium was evaluated by Fisher’s exact test [6]. Population differentiation test using exact test was carried out using Arlequine 2.0 software [7].

2.6. Quality Control

Positive control DNA and allelic ladder provided in AmpFlSTR SGM Plus PCR amplification kit (Applied Biosystems). Approximately 10% of samples from both the populations were regenotypes to ensure reproducibility and accuracy. All genotype results were in full concordance.

3. Results and Discussion

Allele frequencies of Chakma and Tripura tribal groups are shown in Tables 1 and 2, respectively. Forensic efficiency parameters for both the populations are summarized in Table 3. Population differentiation test per locus is summarized in Table 4. The combined probability of match (PM) for the 10 STR loci are (1 in ) and (1 in ), respectively, for Chakma and Tripura populations. The combined power of exclusion of paternity (PE) for the Chakma and Tripura were calculated to be 0.99997 and 0.9998, respectively. Significant deviation from Hardy-Weinberg equilibrium was observed for FGA locus in Chakma and D21S11 in Tripura population. Both the populations showed least polymorphism at TH01 locus (PIC ). This may be due to inbreeding and lack of admixture, which is a characteristic feature of these populations. Although both the populations achieved combined probability of match (PM) in the order of 1010 to 1011, it would be reasonable to implement a “ correction” while using this data in forensic casework, as recommended by the National Research Council (1996) [8] and by Foreman and Lambert [9]. Population differentiation test for each population pair per locus revealed significant difference in the allele frequency distribution for most of the loci (Table 4) between Chakma and Tripura populations. Both Chakma and Tripura populations also showed significant difference in the allele frequency distribution with the mainstream Bengali population when compared with previously published data from this lab [10]. Among the populations THO1 locus showed least differentiation whereas, highest differentiation was observed in D18S51 locus which was followed by D2S1338 locus (Table 4).

Table 1: Allele frequency distribution of 10 autosomal STR loci in Chakma population .
Table 2: Allele frequency distribution of 10 autosomal STR loci in Tripura population (n = 58).
Table 3: Forensic parameters of 10 autosomal STR loci in Chakma and Tripura populations.
Table 4: Exact test of population differences based on allele frequency.

The present study was undertaken from the standpoint of compiling own-population genetic database, owing to the fact that population and subpopulation differences at STR loci of forensic interest are growing up. In this context, we embarked on compiling the allele frequency database of two ethnolinguistic populations of Bangladesh. The obtained high combined PM and PE values demonstrated that STR loci employed in SGM Plus PCR amplification kit would be highly efficient for personal identification and paternity cases in spite of some population substructuring. Besides forensic benefits, we find this study very useful for regional and worldwide human population meta-analysis.


This study was supported by Multisectoral Program on Violence Against Women, Ministry of Women and Children’s Affairs, Government of the People’s Republic of Bangladesh and the Danish International Development Assistance (DANIDA).


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