Evidence map›Paper›PMID 41805780›Full record

ArticleInternational journal of legal medicine2026

A cloud-based solution for managing next-generation sequencing data to comprehend forensic population statistics.

Kornkiat Vongpaisarnsin, Poonyapat Sukawutthiya, Hasnee Noh, Tikumphorn Sathirapatya

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kornkiat VongpaisarnsinDepartment of Forensic Medicine, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Rd, Pathum Wan, Bangkok, 10330, Thailand. kornkiat.v@chula.ac.th.ORCID http://orcid.org/0000-0002-3434-3496
Poonyapat SukawutthiyaDepartment of Forensic Medicine, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Rd, Pathum Wan, Bangkok, 10330, Thailand.
Hasnee NohDepartment of Forensic Medicine, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Rd, Pathum Wan, Bangkok, 10330, Thailand.
Tikumphorn SathirapatyaDepartment of Forensic Medicine, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Rd, Pathum Wan, Bangkok, 10330, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) technology has revolutionized forensic DNA analysis by increasing sensitivity to detect low amounts of DNA, expanding throughput capacity, allowing multiplexed marker panels, and improving sequencing resolution. However, the diversity of marker types and the complexity of report formatting have made managing and utilizing genetic statistics for large volumes of NGS data challenging. To address these challenges, advancements in bioinformatics tools and data management systems are essential. Implementing a public database can facilitate more effective popular statistics, ultimately enhancing the application of NGS in forensic investigations. We introduce “diversID,” a forensic DNA database ( https://www.diversid.org ) focused on autosomal STRs (short tandem repeats), X- and Y-chromosomal STRs, and identity SNPs (single nucleotide polymorphisms). The database software provides comprehensive population statistics, including allele frequencies, Hardy-Weinberg equilibrium, heterozygosity, and more. Making use of cloud computing, diversID simplifies data upload and download processes to improve user convenience while maintaining the highest data quality through stringent filtering criteria. To further enrich the database’s value, we invite researchers to encourage global collaboration. We believe that collective efforts will continually refine and advance this invaluable resource, thereby benefiting the field of forensic DNA analysis.

Indexed as

Cloud ComputingDatabases, GeneticDatabases, Nucleic AcidForensic GeneticsGenetics, PopulationHigh-Throughput Nucleotide SequencingChromosomes, Human, YDNA FingerprintingGene FrequencyHumansMicrosatellite RepeatsPolymorphism, Single NucleotideSequence Analysis, DNASoftwareCloud computingDatabaseForensic statisticsNext-generation sequencing (NGS)SNPSTR

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.