WGS + PRS

Hereditary cancer. From 26 to 92 genes.

Targeted whole-gene analysis · WGS + PRS

26 genes for inherited breast cancer predisposition, with expansion to a 92-gene hereditary cancer panel. Clinical WGS at a mean depth >30×, with PRS for breast, ovarian and prostate cancer.

A woman speaking with a doctor in an examination room.
26Breast cancer genes
92Hereditary cancer genes
>30×Mean clinical WGS depth
3 PRSBreast · ovarian · prostate
01 / 09

The right panel, from the first test.

Targeted whole-gene analysis, with a scope selected according to the clinical indication and personal and family history.

The scope your personal history calls for

Targeted analysis of complete genes.

Breast cancer
26genes

A focused panel for genetic predisposition to breast cancer.

A focused clinical question
Hereditary cancer
92genes

An expanded panel covering more hereditary cancer predisposition syndromes.

Broader genetic assessment
WGS + PRS

A shared genomic foundation. An analysis scope tailored to personal and family history.

Regional coverage and variant classes are documented for the selected panel. PRS adds complementary information for breast, ovarian and prostate cancer.
Sources & evidence ↓
The scientific basis for a broader approach

Memorial Sloan Kettering Cancer Center

Genetic testing after a cancer diagnosis, with broader access criteria.

The study supports broader testing for inherited predisposition beyond a single age threshold. This approach provides a scientific reference for expanding genetic assessment.

39,184patients in the study
32solid tumour types
90+predisposition genes
72%

of pathogenic variant carriers in the study would have been missed if diagnosis before age 50 had been the sole testing criterion.

Stadler et al. · Cancer Discovery, 2026 · Read the study
The original publication figure

Inherited findings also occur in late-onset cancer.

Original Figure 2B: five stacked bars show the percentage of patients with pathogenic germline variants across age-of-onset groups.

Figure 2B. Age at onset is compared with the mean age for the corresponding tumour type. Red: early onset; blue: average onset; yellow: late onset. SD: standard deviation.

Darker shades: high- or moderate-penetrance genes. Lighter shades: low or uncertain penetrance, or recessive carrier status.

These numbers describe the study and do not measure the accuracy of the NeoScreen service. The 32 tumour types describe the study population. NeoScreen provides its service independently of MSK.

02 / 09

Genes with clinical significance

The final scope of analysis is selected according to the clinical question. It focuses on BRCA1 and BRCA2 and other predisposition genes, such as TP53, PALB2, ATM and CHEK2. Associations and levels of risk differ between genes, so each finding requires specialist interpretation.

Illustrative laboratory scene showing preparation of a DNA sample for sequencing.
Process illustrationWGS · from sample to genome

The 26-gene and 92-gene panels are defined testing options. The platform also supports customised panels to address the clinical question. New panels can be configured in seconds using existing WGS data; clinical interpretation and reporting follow the established assessment process.

BRCA1 · BRCA2

TP53 · PALB2

ATM · CHEK2

Additional genes according to the indication and history

Sources & evidence ↓
03 / 09

What WGS adds

Whole genome sequencing creates a broad foundation of data for targeted clinical analysis and future reassessment. Alongside protein-coding regions, it allows investigation of selected non-coding and intronic regions within the method's validated limits.

Mean coverage of >30× describes the average sequencing depth across the genome. The quality of the final result also depends on coverage of individual regions, sample quality, bioinformatic analysis and clinical assessment. This number alone does not translate into a percentage of diagnostic accuracy.

Genetic information, visualised

One genome. Two complementary analyses.

WGS data support clinical analysis of pathogenic variants and PRS. Both are considered together with clinical history.

Schematic illustration of the combined approach. Interpretation brings together gene findings, an appropriate PRS, and personal and family history.

Open at full size
Sources & evidence ↓
04 / 09

Intronic variants and RNA splicing

Some variants may affect how sections of RNA are joined together, a process known as splicing. NeoScreen's platform supports assessment of intronic variants and computational prediction of their potential effects on splicing.

Illustrative laboratory scene showing preparation of RNA samples.
Process illustrationRNA sequencing · expression of genetic information

A prediction is one element of interpretation. It is considered alongside the clinical presentation, published evidence and other genetic data. Where needed and feasible, RNA analysis or another confirmatory test may be proposed to investigate the actual functional consequence.

The process in pictures

How RNA reveals splicing

Example of RNA splicingFour exons are shown above. In form A, exons 1, 2, 3 and 4 are joined. In the illustrative form B, exons 1 and 4 are joined directly, skipping exons 2 and 3.Before splicing1234Form A1234Form B14exons 2 and 3 skipped
Form A: joining 1 → 2 → 3 → 4
Form B: joining 1 → 4
A hypothetical diagram, not a patient's result. RNA analysis can examine splicing. The clinical significance of a change is determined from all the available evidence. Key concepts: NHGRI ↗
Sources & evidence ↓
05 / 09

PRS: your position within a risk distribution

A Polygenic Risk Score combines the contributions of many common variants into one score. The service includes separate PRS for breast, ovarian and prostate cancer, interpreted appropriately for the relevant model and reference population.

A person's position on a PRS curve compares their score with the reference population. For example, the 90th percentile does not mean a 90% probability of developing cancer. Absolute risk over a specific period is calculated by combining further information.

Breast

polygenic information combined with genes and personal factors.

Ovarian

additional predisposition information within an overall clinical assessment.

Prostate

a separate PRS assessed within the appropriate risk model.

Genetic information, visualised

Polygenic predisposition at a glance.

Schematic bell-shaped PRS distribution in a reference population: lower, intermediate and higher PRS. It is not an individual probability of cancer.

The 90th percentile does not mean a 90% probability of cancer. This is a schematic diagram with no individual results or clinical thresholds.

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Sources & evidence ↓
06 / 09

BRCA and PRS: four different combinations

The BRCA result and PRS answer different, complementary questions. A low PRS does not cancel out a pathogenic or likely pathogenic BRCA variant. Equally, the absence of a pathogenic finding in the genes examined does not mean zero risk.

Pathogenic BRCA + higher PRS

both findings contribute to the assessment.

Pathogenic BRCA + lower PRS

the BRCA finding remains clinically significant.

No pathogenic finding + higher PRS

polygenic predisposition may add useful information.

No pathogenic finding + lower PRS

the assessment continues to consider history and other factors.

Genetic information, visualised

BRCA and PRS: four combinations.

Four schematic examples: a pathogenic BRCA finding with low or high PRS, and no pathogenic finding with high or low PRS.

A low PRS does not override a pathogenic BRCA finding. BRCA + means a pathogenic or likely pathogenic variant, not a VUS. “No finding” means no pathogenic finding in the genes analysed.

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Sources & evidence ↓
07 / 09

BOADICEA / CanRisk: history is part of the analysis

Accurate recording of personal and family history is an essential part of the assessment. Within CanRisk, the BOADICEA models concern breast and ovarian cancer, while CanRisk-Prostate is used for prostate cancer. Model selection and interpretation are performed by an appropriately qualified healthcare professional.

Illustrative scene of a couple discussing their history with a genetics professional.
Process illustrationTurning genetic information into a conversation

NeoScreen's existing breast cancer risk assessment form remains available to record personal and family history. Before completing it, it helps to know which relatives have had cancer, the cancer type, age at diagnosis and any previous genetic result.

Sources & evidence ↓
08 / 09

Who can discuss testing with their clinician

Testing is selected individually. It may be relevant to people with a personal history of cancer, families with a known pathogenic variant or a history suggestive of hereditary predisposition, and people whose clinician considers a more complete risk assessment useful.

Testing for hereditary predisposition differs from molecular analysis of the tumour itself. The former examines variants that may also be relevant to relatives; the latter examines characteristics of cancer tissue to address specific clinical questions.

Sources & evidence ↓
09 / 09

From the first question to clinical interpretation

The value of the test lies in using the result on the basis of sound evidence. NeoScreen connects laboratory information with the clinical question and supports discussion with the treating clinician.

1. Recording the indication, personal history and family history.

2. Information, consent and instructions for the appropriate sample.

3. WGS, quality control and analysis of the selected range of genes.

4. Calculation and interpretation of the appropriate PRS.

5. Combined assessment, a results report and genetic counselling.

6. Discussion of next steps and, where indicated, informing or testing relatives.

Sources & evidence ↓
Helpful answers

Frequently asked questions

26 or 92 genes: which panel is appropriate?

The 26-gene panel focuses on inherited breast cancer predisposition. The 92-gene panel extends the assessment to a broader range of hereditary cancer syndromes. Selection is guided by the indication, clinical history and genetic counselling.

What does whole-gene analysis mean?

The assessment uses WGS data across the selected genes, including coding and clinically relevant non-coding regions. Regional coverage and the variant classes reported are defined by the validated protocol and laboratory quality control.

Does a positive result mean I have cancer?

Identifying a pathogenic predisposition finding indicates increased genetic risk, not the presence of cancer. Its significance is discussed with the clinician in the context of the specific gene and history.

What is a variant of uncertain significance (VUS)?

It is a finding for which the available evidence is not yet sufficient for reliable classification as pathogenic or benign. It is not equivalent to a pathogenic BRCA variant and is not treated as a confirmed positive diagnosis.

What if BRCA is positive and PRS is low?

A pathogenic or likely pathogenic BRCA variant remains clinically significant. PRS adds information to the assessment; it does not erase the BRCA finding or the corresponding monitoring needs.

Is an ovarian PRS a stand-alone screening test?

No. It provides predisposition information that is considered alongside genes, family history and clinical factors. The next steps are determined through medical assessment.

Can new genes be added in the future?

WGS generates data that can be reassessed. The option of reanalysis, the new scope and any need for additional testing are evaluated according to the new clinical question, data quality and the terms of the service.

What sample is needed, and when will I receive a result?

The NeoScreen team provides sampling instructions and the turnaround time for the agreed scope of testing. If confirmation, testing of relatives or RNA analysis is needed, you will be informed about the additional stages.

Sources & scientific evidence

Service description: NeoScreen information brochure, October 2026 edition, p. 9. The detailed WGS + PRS description follows NeoScreen's hereditary cancer information programme.

  1. Stadler et al. · Universal Germline Genetic Testing after a Diagnosis of Cancer · Cancer Discovery, 2026 ↗
  2. Witt et al. · Clinical genome sequencing in hereditary breast and ovarian cancer · The Breast, 2025 ↗
  3. Barnes et al. · PRS and breast/ovarian cancer risk in BRCA1/2 carriers · Genetics in Medicine, 2020 ↗
  4. CanRisk · BOADICEA and CanRisk-Prostate · University of Cambridge ↗
  5. ClinGen SVI · Interpreting predicted and observed effects on splicing ↗
  6. National Cancer Institute · Genetic Testing for Inherited Cancer Risk ↗
  7. National Cancer Institute · BRCA Gene Changes: Cancer Risk and Genetic Testing ↗

Knowledge becomes care.NeoScreen · 5,000+ WGS / WES analyses
Scientific Director: Ioannis L. Loukas, Professor, National and Kapodistrian University of Athens

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Prevention begins with your own story.

Discuss with NeoScreen which analysis is appropriate for your personal and family history.

+30 211 1826130 · LAB3@NEOSCREENGR.COM

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