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Open-Access Worldwide Population STR Database Constructed Using High-Coverage Massively Parallel Sequencing Data
Tamara Soledad Frontanilla1, Guilherme Valle-Silva2, Jesus Ayala3
1Departamento de Genética, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto 14049-900, SP, Brazil.
Genes
|December 23, 2022
Summary
This study created a reliable, open-access STR database using 1000 Genomes Project data. The database offers consistent STR genotypes and allele frequencies for forensic genetics research.
Area of Science:
- Forensic Genetics
- Population Genetics
- Bioinformatics
Background:
- Accurate short tandem repeat (STR) genotyping from next-generation sequencing (NGS) data presents challenges.
- A reliable, open-access STR database is needed for the forensic genetics community.
Purpose of the Study:
- To develop a comprehensive STR genotyping analysis.
- To create a reliable, open-access STR database using diverse population data.
Main Methods:
- Genotyping analysis of 22 STR markers from 2504 samples across 26 populations in the 1000 Genomes Project Phase 3 dataset.
- Utilized HipSTR for genotype calling and performed Hardy-Weinberg equilibrium, allele frequency, AMOVA, STRUCTURE, and Principal Coordinates analyses.
Main Results:
- HipSTR showed limitations in detecting longer alleles and specific small Penta D alleles, leading to heterozygote deficiency.
- Despite limitations, analyses demonstrated clear separation of major ancestries and confirmed overall consistency and reliability of the generated STR allele frequencies and genotypes.
- The D21S11 marker could not be detected.
Conclusions:
- The developed STR database, despite minor limitations with specific alleles, is largely consistent and reliable for forensic genetics applications.
- The findings highlight the utility of large-scale population datasets for building forensic genetic resources.
- Further refinement of genotyping tools may improve detection of rare or complex STR alleles.
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