Our applications support the identification and reporting of clinically-significant germline variants associated with hereditary breast and ovarian cancers (HBOC), and other hereditary cancer predispositions.
Just like MH Guide, our applications for hereditary cancer analysis analyze gene variants by comparing them with data from Dataome, one of the world’s largest knowledge bases of biomedical information. The software classifies variants through automated access to relevant databases and uses international scientific standards for variant classification. Relevant results are summarized in individual reports, giving users clear, specific indications of possible disease-causing genetic variations associated with HBOC, or other hereditary cancers.
“Ensure your variant analyses for hereditary cancer predispositions are always in line with the latest science, and benefit from intuitive applications that fit seamlessly into your lab routine.”
PhD Josef Hermanns
Director Project Office
Our software applications identify and classify germline variants related to HBOC, or other hereditary cancers. Your laboratory benefits from efficient, highly-automated analyses that automatically identify, pre-classify, and report genes according to ACMG standards.
Our applications access publicly-available databases for variant interpretation (e.g., ClinVar, BRCA Exchange, UTAH BRCA), and unique expert-curated databases for variant impact on protein and pathway functions, and cancer predisposition biomarkers described in peer-reviewed publications. All data sources are regularly updated following quality-assured processes. Users can store their own variant classifications in the protected area of their account. Highly automated and standardized analyses according to the current state of science and research are now possible.
Approved for diagnostic use
Our applications for HBOC and other hereditary cancers are modules of MH Guide, which is approved as an IVD medical device in the EU and intended for diagnostic use.
Faster results
Automatic access to relevant databases, as well as automated variant pre-classification according to ACMG criteria, help healthcare professionals identify variants related to HBOC and other hereditary cancers variants faster, and generate patient reports efficiently.
Easy to integrate
Our applications are web-based and can be immediately integrated into your lab routine. In addition, flexible interfaces make it possible to analyze standard data formats from the sequencing of commercially-available or proprietary gene panels, independent of the platform used.
Customizable analysis
Our applications are optimized for use in clinical routine. The filtering and editing options within the software allow quick access to the most important information.
Audited quality
Molecular Health is committed to meeting strict international standards – and is certified to EN ISO 13485. Users benefit from maximum safety and reliability.
Our web-based software applications can be easily integrated in the laboratory. They enable the annotation and interpretation of genetic variants from common NGS or other analysis platforms. The software allows users to generate highly-automated individual patient reports, each of which can be expanded and refined. The software generates clear, customizable report templates in various formats (PDF, JSON, XML) and is compatible with VCF and FASTQ data formats.
Our applications meet the highest standards of data privacy, data security, as well as risk and quality management.
Our applications for hereditary cancer are modules of MH Guide, a software approved in Europe as an IVD medical device (according to the EU regulation 2017/746 (IVDR)).
Our applications are offered as scalable SaaS (Software as a Service) to suit small and large institutions alike.
The design, content, and format of analysis reports can be adapted to individual needs on request.
Our applications can process the standard data formats VCF and FASTQ. Output formats are PDF, JSON, and XML.
Our applications provide secure transmission of patient data through advanced encryption standards (SSL/TLS, AES-256) and storage of patient data with controlled access authorization.
Our applications comply with GDPR in Europe, GenDG in Germany, and the Health Insurance Portability and Accountability Act (HIPAA) in the USA.
Our applications let you optimize your everyday processes. The cloud-based software automates the interpretation of germline variants and delivers high-quality analyses.
Our applications intuitively guide users from data upload to final patient report.
1. Upload sequence data to the MH Order Portal – via your browser
2. Automatic variant classification
3. Creation of the report
4. Export of the report
Dr. Ibrahim Avi Cemel
Application Specialist – Clinical Decision Support
“Our dedicated hereditary cancer applications put the latest scientific knowledge at your fingertips to ensure you have a complete overview of your patient’s risk and options. Would you like to see them in action? We’re happy to go through a specific case with you. Just get in touch!”
Our applications generate well-designed, adaptable report templates in various formats (PDF, JSON, XML) and can process FASTQ and VCF data formats.
Our applications fulfill the highest standards in terms of data privacy and data protection, as well as risk and quality management. Data sovereignty always lies with the user. Confidential patient data is transmitted using advanced encryption standards (SSL/TLS, AES-256).
This depends on your requirements. Prices are calculated based on the number of analyses and the size of the gene panels to be analyzed. We are happy to advise you personally.
You can use any commercially available or proprietary gene panels (e.g., BRCA1/2 panels, HBOC risk gene panels) and have the data analyzed in VCF format. Likewise, raw data (FASTQ) from many popular Illumina platforms can be analyzed. If uploaded, our applications will also annotate and classify gene variants not related to hereditary cancer.
On request, Molecular Health can assist you in importing ACMG-compatible variant classifications from your own databases to your account.
© 2022 Molecular Health GmbH
© 2020 Molecular Health GmbH