Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identifying unknown contributors to two-person DNA mixtures via whole-genome sequencing.

Forensic science international. Genetics - 1 Sept 2026

Lei Yuting, Liu Zhen, Han Shuang, Lin Xinyi, Sun Qifan, Ou Xueling

Abstract excerpt

Forensic investigative genetic genealogy (FIGG) has demonstrated considerable promise in identifying perpetrators and unidentified human remains. While whole-genome sequencing (WGS) offers a robust foundation for FIGG, DNA mixtures-prevalent in forensic casework-remain a challenge as standard algorithms require single-source profiles. Potential solutions fall broadly into two categories: (1) deconvoluting...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to DNA
Share to DNA Fingerprinting

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Forensic Genetics

Share to Haplotypes

Share to Likelihood Functions

Share to Sequence Analysis, DNA

Share to Whole Genome Sequencing

Source

Identifiers

PMID: 42176415
DOI: 10.1016/j.fsigen.2026.103530

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying unknown contributors to two-person DNA mixtures via whole-genome sequencing.PMID 42176415Read ↗

Beyond STRs: Integrative Forensic Genomics from MPS to Genetic Genealogy and AI-Based Prediction.Semantic proximity Read ↗

Deconvoluting multi-person biological mixtures and accurate characterization and identification of separated contributors using non-targeted single-cell DNA sequencing.Semantic proximity Read ↗

Decreased accuracy of forensic DNA mixture analysis for groups with lower genetic diversitySemantic proximity Read ↗

Improved individual identification in DNA mixtures of unrelated or related contributors through massively parallel sequencing.Semantic proximity Read ↗

DNA Mixture Deconvolution: A Four-Strategy Framework from Physical Separation to Database Searching.Semantic proximity Read ↗

Facilitating complex DNA mixture interpretation by sequencing highly polymorphic haplotypes.Semantic proximity Read ↗

MixDeR: A SNP mixture deconvolution workflow for forensic genetic genealogy.Semantic proximity Read ↗

A genotype likelihood function for DNA mixtures.Semantic proximity Read ↗

Developmental and validation of a novel small and high-efficient panel of microhaplotypes for forensic genetics by the next generation sequencing.Semantic proximity Read ↗

Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays.Semantic proximity Read ↗

A New Computational Deconvolution Algorithm for the Analysis of Forensic DNA Mixtures with SNP Markers.Semantic proximity Read ↗

Development and Evaluation of a Novel Microhaplotype Panel for DNA Mixture and Kinship Analysis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.