Next-gen bio-forensics

01Overview and value chain#

Markers EC: EU forensic DNA phenotyping national regulation (Netherlands, Germany) | OECD: Biotech & health | Regulator: FDA (USA, forensic use is largely outside direct FDA device clearance)

Next-generation bio-forensics uses massively parallel (next-generation) DNA sequencing to extract far more from crime-scene evidence than the short tandem repeat (STR) profiling that has been standard since the 1990s. Traditional STR profiling can only confirm a match against a known suspect or database entry — it produces no lead when there is no suspect to compare against. Forensic DNA phenotyping and forensic investigative genetic genealogy (FIGG) solve that specific problem: phenotyping predicts a DNA source’s eye colour, hair colour, skin colour and biogeographic ancestry directly from crime-scene DNA, while FIGG matches that DNA against consumer genealogy databases to identify distant relatives and build an investigative lead toward the actual source — techniques credited with generating leads in hundreds of cold cases and, per one producer’s own count, over 200 solved cases by 2022. The academic and commercial layers are tightly linked: Erasmus MC’s Department of Genetic Identification co-developed the HIrisPlex-S phenotyping assay (with Leiden University Medical Centre, the Netherlands Forensic Institute and Indiana University Purdue University Indianapolis) and publishes it as a free public webtool, while commercial producers build validated, chain-of-custody-compliant kits and services around the same underlying phenotyping science for law-enforcement customers who need a court-defensible process, not just a research assay.

The key directions of next-gen bio-forensics are:

1. Forensic DNA phenotyping (Forensic DNA Phenotyping): predicting eye colour, hair colour, skin colour and biogeographic ancestry directly from crime-scene DNA using SNP-based assays, producing an investigative description without requiring a suspect to compare against.
2. Forensic investigative genetic genealogy (Forensic Investigative Genetic Genealogy): matching crime-scene DNA against consumer genealogy databases to identify genetic relatives, then building a family tree toward the actual DNA source — the technique behind most recent cold-case breakthroughs.
3. NGS-based forensic sequencing platforms (NGS Forensic Sequencing): next-generation sequencing kits and instruments purpose-built for forensic laboratories, validated against national DNA index systems and designed to replace or supplement capillary-electrophoresis STR typing.
4. Reference-free DNA mixture deconvolution (Reference-Free Mixture ID): identifying a specific individual’s DNA within a mixed sample of multiple contributors without needing a reference sample from that individual, extending phenotyping and identification to degraded or mixed forensic evidence.

Sectoral value chain#

[Crime-Scene DNA Collection] ──> [NGS Sequencing & Genotyping] ──> [Phenotyping/Genealogy Analysis] ──> [Investigative Lead Report]
                                                    │
                                          (Validation & Chain of Custody)
                                                    │
                                                    ▼
                                          [Law-Enforcement Investigation]

Value chain levels#

Cross-cutting technologies of the sector:

• SNP-based phenotype prediction models: statistical models (such as HIrisPlex-S) trained on genotype-to-phenotype correlations across large reference populations, translating a DNA sample directly into a predicted physical description.
• Consumer genealogy database matching: using the same genetic-genealogy matching techniques that power direct-to-consumer ancestry services to trace a crime-scene DNA sample’s family tree toward its actual source.
• Forensic-grade next-generation sequencing: NGS platforms and kits validated to national DNA index system standards (such as FBI NDIS approval in the US), distinct from research-grade sequencing that lacks the chain-of-custody and reproducibility documentation forensic use requires.

02US#

The United States hosts three of the category’s most established producers, spanning phenotyping, NGS platform hardware and reference-free mixture analysis.

Forensic phenotyping, NGS sequencing platforms and reference-free mixture identification#

• Parabon NanoLabs: produces the Snapshot DNA Analysis service, predicting eye colour, hair colour, skin colour, freckling, biogeographic ancestry and facial morphology from crime-scene DNA; the company reports over 200 solved cases by 2022, including closing decades-old unidentified-remains cases for the Oregon State Medical Examiner.
• Verogen (a QIAGEN company, San Diego): produces the ForenSeq Imagen workflow (appearance and biogeographic-ancestry prediction) and the ForenSeq Kintelligence kit for forensic investigative genetic genealogy, partnered with Gene by Gene/FamilyTreeDNA for genealogy database uploads; its MiSeq FGx platform holds FBI approval for the US National DNA Index System (NDIS).
• Identitas: produces IDentify, a phenotyping test using 800,000 SNPs that predicts eye colour, hair colour, sex, biogeographic ancestry and relatedness up to the third degree without requiring a reference DNA sample, and can identify a specific individual’s contribution within a mixture of up to 10 DNA sources.

03CN#

China’s presence in next-gen bio-forensics did not surface a confirmed branded producer this screen — search results for forensic DNA phenotyping and genetic genealogy returned academic papers and document-repository uploads on next-generation sequencing in forensic genetics, plus generic paternity-testing service aggregators, not a single own-domain page from a Chinese company confirming a specific forensic phenotyping or investigative genealogy product comparable to the producers in this table.

No confirmed domestic producer this screen#

• Evidence gap, not an absence claim: next-generation sequencing in forensic genetics is an active research topic in China, but no specialized producer’s own domain confirmed a specific phenotyping or genealogy product this screen — a candidate for a future enrichment pass.

04EU#

Europe’s presence in this screen runs through an academic forensic-genetics group whose assay underpins commercial phenotyping products worldwide, rather than a standalone commercial vendor.

Academic phenotyping-assay development underpinning commercial forensic products#

• Erasmus MC Department of Genetic Identification (Rotterdam, Netherlands): co-developed the HIrisPlex-S system for eye, hair and skin colour prediction from DNA — with Leiden University Medical Centre, the Netherlands Forensic Institute and Indiana University Purdue University Indianapolis — and publishes it as a freely accessible webtool used by forensic laboratories internationally, distinct from the commercial kit producers in this table who build validated, chain-of-custody-compliant products around comparable phenotyping science.

05Leading companies and research institutes#

06Tech stack and innovations#

The stack spans SNP-based phenotype prediction, consumer-genealogy-database matching and reference-free mixture deconvolution, unified by extracting an investigative lead from DNA evidence that has no suspect to compare against.

1. SNP-Based Phenotype Prediction:
   • Erasmus MC’s HIrisPlex-S and the commercial assays built on comparable science (Parabon’s Snapshot, Verogen’s ForenSeq Imagen, Identitas’ IDentify) all convert a genotype into a predicted physical description, but differ in the specific trait panel and SNP count — Identitas’ 800,000-SNP panel is far broader than the 24-41-SNP HIrisPlex-S panel, trading assay simplicity for additional predicted traits like relatedness.
   • This is fundamentally a statistical-genetics problem, not a wet-lab one: the sequencing generates the same genotype data regardless of which company processes it, and the differentiation is in the trained prediction model and its validated accuracy.
2. Forensic Investigative Genetic Genealogy:
   • Verogen’s Kintelligence kit and partnership with Gene by Gene/FamilyTreeDNA shows the FIGG workflow concretely: sequence the crime-scene sample, upload the resulting profile to a genealogy database, and work outward from any genetic-relative matches to build a family tree toward the actual source.
   • This technique, not phenotyping, is credited with the majority of recent high-profile cold-case breakthroughs, because a genealogy match narrows a suspect pool far more precisely than a phenotype description alone.
3. Reference-Free Mixture Deconvolution:
   • Identitas’ ability to identify a specific individual’s DNA within a mixture of up to 10 contributors, without a reference sample from that individual, addresses a category of forensic evidence (degraded scenes, multiple-contributor samples) that traditional STR profiling and even standard phenotyping struggle with.
   • This capability matters most for the hardest forensic cases — mass-disaster victim identification, heavily degraded remains — where a clean single-source DNA sample was never available to begin with.

07Value chains and production pipelines#

Industrial pipeline of a forensic DNA phenotyping/genealogy service (NDIS-validated workflow)#

┌───────────────────────────┐      ┌───────────────────────────┐
│ 1. Evidence Collection     │ ───> │ 2. NGS Sequencing          │
└───────────────────────────┘      └───────────────────────────┘
                                                 │
                                                 ▼
┌───────────────────────────┐      ┌───────────────────────────┐
│ 4. Lead Report             │ <─── │ 3. Phenotype/Genealogy     │
│                             │      │    Analysis                │
└───────────────────────────┘      └───────────────────────────┘
              │
              ▼
┌───────────────────────────┐      ┌───────────────────────────┐
│ 5. Chain-of-Custody        │ ───> │ 6. Investigation           │
│    Validation              │      │                            │
└───────────────────────────┘      └───────────────────────────┘

Stage 1: Evidence collection

Biological evidence is collected from a crime scene or unidentified remains, frequently degraded, low-quantity or mixed with other contributors’ DNA compared to a standard reference sample.

Stage 2: NGS sequencing

The sample is sequenced on a forensic-validated next-generation sequencing platform, generating the SNP and STR genotype data that both phenotyping and genealogy analysis run on.

Stage 3: Phenotype/genealogy analysis

The genotype data is run through a phenotype-prediction model to generate a physical description, or uploaded to a genealogy database to identify genetic relatives and build a family tree.

Stage 4: Lead report

The phenotype prediction or genealogy match is compiled into an investigative lead report for the requesting law-enforcement agency, distinct from a court-admissible identification.

Stage 5: Chain-of-custody validation

The full analytical process, reference standards and sample-handling record are documented to a forensic-admissibility standard, the step that separates a validated forensic product from a research-only genomics workflow.

Stage 6: Investigation

Investigators use the lead to narrow a suspect pool and pursue conventional investigative confirmation, closing the loop that traditional STR profiling alone could not open without an existing suspect to compare against.