Screening
Genotyping + quality control + breeding values + composite index + herd ranking.
- Who it suits
- Operations doing genomic testing for the first time.
- Delivery time
- 4–6 weeks
Veterinary molecular diagnostics and genomics
Services
Our services are structured in four layers. Depending on customer need, service can be obtained from a single layer alone, or an end-to-end package can be chosen.
Our Service Architecture
01
Sample & Analysis
Sample plan, acceptance, sample chain tracking, DNA/RNA isolation, PCR, and SNP genotyping.
A quality-controlled, traceable raw result. Carried out through the authorized and accredited laboratories we partner with.
02
Interpretation & Modeling
Quality control, population structure, breeding value estimation, index, defect screening, diagnostic interpretation.
A value, confidence level, and within-population position for every result.
03
Decision & Reporting
Selection recommendation, mating plan, relatedness management, herd health roadmap.
An actionable decision at the animal level and the herd level. Standard report structure.
04
Platform & Integration
Multi-tenant software, API, data exchange with herd management software.
The operation's continuous management of its own data; a living system instead of a one-off report.
Our Service Lines
Cattle genomics
Bos taurus — Black and White (Holstein), Simmental, Brown Swiss, and their crossbreds
Equine genomics
Equus caballus — racing and breeding horses
Small-ruminant genomics
Ovis aries and Capra hircus — sheep and goats
Molecular diagnostics
Ruminant, equine, pet, and poultry — PCR panels and antibiotic resistance tests
R&D and bioinformatics
Species-independent; academic, public-sector, and private-sector projects
Farm consulting
Operation-level breeding strategy
Clinical genomics
Homo sapiens — pharmacogenomics and clinical exome
Why Genomic Testing?
Türkiye has a cattle population of 17.5 million head, approximately 94% of which consists of improved breeds and their crosses (reference date: 31 December 2025).
In classical selection, a heifer's true production potential can only be understood once she completes her first lactation — that is, roughly three years later. Genomic testing provides this information from birth.
Result: the generation interval shortens, genetic progress accelerates, and the cost of raising the wrong heifers falls. In addition, an additional government subsidy is envisaged for calves that are genomically tested in herdbook-registered A/B-class operations (Section 16).
Service Packages
Packages are defined according to typical needs and can be combined. Pricing is finalized at the proposal stage based on the number of animals, panel density, and scope of service; the current price list can be requested from info@vethia.com.tr.
Screening + Defect
Genetic defect screening is added to the Screening package.
- Who it suits
- Breeding-stock producers.
- Delivery time
- 4–6 weeks
Breeding Program
A mating plan, relatedness management, and a results consultation are added to the Screening + Defect package.
- Who it suits
- Operations actively running a breeding program.
- Delivery time
- 5–7 weeks
Annual Consulting
Breeding Program + platform access + annual progress report + periodic consultations.
- Who it suits
- Those who want to run an ongoing program.
- Delivery time
- Annual
Molecular Diagnostics
PCR panels and antibiotic resistance tests; single or periodic monitoring.
- Who it suits
- Clinics, operations, and stud farms.
- Delivery time
- Per panel
Association Program
Multi-operation platform account, batch analysis, association-level reporting, member training.
- Who it suits
- Breeder associations and cooperatives.
- Delivery time
- Project-based
R&D Project
GWAS, genomic prediction, panel design, pipeline development, publication-ready output.
- Who it suits
- Universities and research institutions.
- Delivery time
- Project-based
Clinical Platform
PGx and/or clinical exome interpretation infrastructure, setup, and training.
- Who it suits
- Clinical laboratories.
- Delivery time
- Project-based
Who It Is For
| Segment | Need | Solution |
|---|---|---|
| Dairy cattle operations | Deciding correctly which heifer stays in the breeding herd; lowering the cost of raising the wrong heifers; monitoring herd health. | Genomic testing + index ranking + heifer selection plan + diagnostic panels + platform access. |
| Breeding-stock producers | Creating a price difference in the market with a certified breeding value. | An individual breeding profile report, defect screening, and a document set usable in sales. |
| Breeder associations | Setting up a collective genomic program for their members; building a reference population. | A multi-operation platform account, batch analysis, association-level reporting, and member training. |
| Beef (fattening) operations | Early differentiation in growth and carcass traits; rapid detection of respiratory diseases. | Genomic screening with the relevant trait set and ruminant diagnostic panels. |
| Horse breeders and stud farms | Relatedness control, mating planning, and infectious disease screening. | Population structure analysis, genomic relatedness, defect screening, and equine diagnostic panels. |
| Small-ruminant operations and associations | An objective criterion for selecting rams and bucks; native-breed characterization. | A two-phase program: population characterization, followed by a prediction model. |
| Veterinary clinics and animal hospitals | Fast, reliable agent detection; evidence for antibiotic selection. | Pet and ruminant PCR panels, antibiotic resistance tests, and a structured report. |
| Poultry operations | Flock health monitoring and early warning. | Poultry diagnostic panels and a periodic monitoring program. |
| Research institutions | A competent partner to carry out the project analysis work package. | GWAS, genomic prediction, panel design, pipeline development, and publication-ready output. |
| Clinical laboratories | Reliable, auditable infrastructure for PGx and clinical exome interpretation. | Clinical genomic platform, a versioned analysis pipeline, and a standard report. |
- Segment
- Dairy cattle operations
- Need
- Deciding correctly which heifer stays in the breeding herd; lowering the cost of raising the wrong heifers; monitoring herd health.
- Solution
- Genomic testing + index ranking + heifer selection plan + diagnostic panels + platform access.
- Segment
- Breeding-stock producers
- Need
- Creating a price difference in the market with a certified breeding value.
- Solution
- An individual breeding profile report, defect screening, and a document set usable in sales.
- Segment
- Breeder associations
- Need
- Setting up a collective genomic program for their members; building a reference population.
- Solution
- A multi-operation platform account, batch analysis, association-level reporting, and member training.
- Segment
- Beef (fattening) operations
- Need
- Early differentiation in growth and carcass traits; rapid detection of respiratory diseases.
- Solution
- Genomic screening with the relevant trait set and ruminant diagnostic panels.
- Segment
- Horse breeders and stud farms
- Need
- Relatedness control, mating planning, and infectious disease screening.
- Solution
- Population structure analysis, genomic relatedness, defect screening, and equine diagnostic panels.
- Segment
- Small-ruminant operations and associations
- Need
- An objective criterion for selecting rams and bucks; native-breed characterization.
- Solution
- A two-phase program: population characterization, followed by a prediction model.
- Segment
- Veterinary clinics and animal hospitals
- Need
- Fast, reliable agent detection; evidence for antibiotic selection.
- Solution
- Pet and ruminant PCR panels, antibiotic resistance tests, and a structured report.
- Segment
- Poultry operations
- Need
- Flock health monitoring and early warning.
- Solution
- Poultry diagnostic panels and a periodic monitoring program.
- Segment
- Research institutions
- Need
- A competent partner to carry out the project analysis work package.
- Solution
- GWAS, genomic prediction, panel design, pipeline development, and publication-ready output.
- Segment
- Clinical laboratories
- Need
- Reliable, auditable infrastructure for PGx and clinical exome interpretation.
- Solution
- Clinical genomic platform, a versioned analysis pipeline, and a standard report.
How We Work
The process from sample to decision is seven steps. Durations are for the standard workflow and are confirmed per project at the proposal stage.
01
Needs consultation
The operation's breeding goal, herd structure, existing record infrastructure, and budget framework are assessed. Free of charge.
1 day
02
Sample plan
Which animals will be sampled, by which method, and in what order is planned. The kit and protocol are sent.
2–3 days
03
Sample collection and acceptance
Samples are collected, barcoded, and delivered to the laboratory. Acceptance criteria are checked.
Depends on the operation
04
Genotyping
DNA isolation and SNP genotyping. A call file is produced.
2–4 weeks
05
Quality control and analysis
Quality control at the individual and marker level, breeding value estimation, index calculation, defect screening.
3–5 business days
06
Reporting
Production of the eight-section report at the animal level and the herd level; upload to the platform.
2–3 business days
07
Results consultation
Joint review of the report, finalization of selection and mating decisions, and an implementation plan.
1 day
Afterwards
- After the report is delivered, your platform access continues; the herd ranking is updated as new animals are added.
- Genetic gain, relatedness trend, and selection accuracy are measured through the annual progress report.
- You are notified when the methodology version is updated; your past reports do not change, and can be recalculated with the new version on request.
Methodology and Transparency Statement
The nine statements below are the public disclosure of our methodology. Our goal is for the customer and the auditor to be able to evaluate the result independently.
- 01 — Reference population
- The type, breed, number of individuals, geographic origin, phenotype source, and measurement period of the reference population used are stated for every report. The version number is incremented when the population is updated.
- 02 — Panel
- Panel density, manufacturer, reference genome version, and coordinate system are disclosed explicitly. A panel change requires a separate methodology version.
- 03 — Quality control thresholds
- The numerical values of the individual call rate, marker call rate, minor allele frequency, and Hardy–Weinberg thresholds are published. We do not consider the statement "quality control is performed" to be sufficient.
- 04 — Statistical model
- The model family used, the variance components, and the heritabilities are stated together with their sources. Values taken from the external literature are shown separately from those derived from our own population.
- 05 — Frozen constants
- All values held constant in the analysis are listed and tied to a version number. These values are not silently recalculated during analysis.
- 06 — Accuracy
- The calculation method, the definition of the validation set, and the accuracies obtained per trait are published. Low-accuracy traits are flagged in the report, not hidden.
- 07 — Evidence layering
- Every numerical value is flagged with one of three layers: direct measurement, model-derived, or assumption-based. The definitions and the flagging format are explained in the report.
- 08 — Fail-closed policy
- The conditions under which the analysis stops and no prediction is produced are explicitly defined. There is no silent skipping; every stop is visible in the report.
- 09 — Version and change log
- Every change to the methodology is recorded together with its date, rationale, and the outputs affected. The policy for retroactive recalculation is defined.
Laboratory and Analysis Infrastructure
Genotyping and Molecular Analysis
Genotyping and PCR analyses are carried out through partnerships established with authorized and accredited laboratories. This is a deliberate structural choice: laboratory competence and analysis-and-interpretation competence are different disciplines; we chose to be the best at the interpretation layer.
| Component | Description |
|---|---|
| Partnership model | A written partnership protocol with laboratories that are authorized by the Ministry and/or accredited. The current partnership list and their scopes of authorization are provided in the proposal file. |
| Genotyping technology | SNP microarray-based genotyping. Sequencing-based approaches can also be applied depending on project needs. |
| Panel densities | 20K, 50K, and 100K options. The density is selected jointly based on the targeted accuracy and budget. |
| Molecular diagnostics | Real-time PCR-based agent detection and resistance gene analysis. |
| Advanced analyses | Whole-genome sequencing (WGS), targeted sequencing, and gene expression (RNA-Seq) studies are offered on a project basis. |
- Component
- Partnership model
- Description
- A written partnership protocol with laboratories that are authorized by the Ministry and/or accredited. The current partnership list and their scopes of authorization are provided in the proposal file.
- Component
- Genotyping technology
- Description
- SNP microarray-based genotyping. Sequencing-based approaches can also be applied depending on project needs.
- Component
- Panel densities
- Description
- 20K, 50K, and 100K options. The density is selected jointly based on the targeted accuracy and budget.
- Component
- Molecular diagnostics
- Description
- Real-time PCR-based agent detection and resistance gene analysis.
- Component
- Advanced analyses
- Description
- Whole-genome sequencing (WGS), targeted sequencing, and gene expression (RNA-Seq) studies are offered on a project basis.
Sample Chain
- The sample collection kit, protocol, and barcoded labels are provided by us.
- Every sample is tracked under a single identity from the moment of collection through to the result report. If an identity mismatch is detected at any step in the chain, the process is stopped.
- Sample acceptance criteria (quantity, storage, transport conditions) are shared in writing in advance; a sample that does not meet the criteria is rejected and the reason is reported.
- The retention period for residual samples and the disposal policy are defined in the contract.
Compute Infrastructure
- Analyses run on versioned, containerized pipelines; result deviation caused by environment differences is prevented.
- Every run is logged together with an input file summary, software versions, parameters, and the time of the run.
- A data backup and recovery policy is defined; customer data is kept in separate storage areas.
Contact and Getting Started
The process begins with a non-binding needs consultation. In this meeting, we discuss your herd's current status, your goals, and your budget framework; together we determine the package that suits you.
0532 287 04 87WhatsAppinfo@vethia.com.trKocatepe Mah. Olcay Sok. No: 7, 34045 Bayrampaşa / Istanbul, Türkiye
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