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Genetic Polymorphism of 24 Autosomal STR in the Population of Rwanda
Gasana Paul1,2,3, JunLin Liu1, Pan Ma1
1College of Medicine & Forensic, Health Science Center, Xi'an Jiao Tong University, 76 Yan Ta West Road, Xi'an, 710061, Shaanxi, People's Republic of China.
This study analyzed 24 Short Tandem Repeats (STRs) in 505 Rwandans, establishing a genetic profile for forensic applications. The findings confirm the high informativeness of these STRs for individual identification and paternity testing in Rwanda.
Area of Science:
- Forensic Genetics
- Population Genetics
- Human Genetics
Background:
- Forensic genetic studies and DNA databases are scarce in Rwanda.
- Understanding genetic diversity is crucial for developing forensic tools.
Purpose of the Study:
- To investigate Short Tandem Repeat (STR) polymorphisms in the Rwandan population.
- To assess the forensic utility of 24 STR loci for individual identification and paternity testing.
- To analyze genetic distances between the Rwandan population and other global populations.
Main Methods:
- Genotyping of 505 unrelated Rwandan individuals using the HUMDNA TYPING (Yanhuang) Kit.
- Analysis of 24 STR loci: D3S1358, D13S317, D7S820, D16S539, SE33, D10S1248, D5S818, D21S11, TPOX, D1S1656, D6S1043, D19S433, D22S1045, D8S1179, Penta E, D2S441, D12S391, D2S1338, vWA, Penta D, TH01, D18S51, CSF1PO, and FGA.
- Calculation of forensic parameters and genetic distances, including phylogenetic analysis.
Main Results:
- A total of 360 alleles were identified with frequencies ranging from 0.001 to 0.442.
- SE33 locus showed the highest polymorphism (PIC=0.921), while D13S317 had the lowest (PIC=0.671).
- No deviation from Hardy-Weinberg equilibrium was observed; combined power of discrimination and exclusion demonstrated high informativeness.
Conclusions:
- The panel of 24 STRs is highly informative and suitable for forensic applications in Rwanda.
- Genetic distance analysis revealed population clusters correlating with geographic and historical relationships.
- This study provides a foundational genetic dataset for Rwanda, essential for forensic and anthropological research.
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