[HerediCaRe: Documentation and IT Solution of a Specialized Registry for Hereditary Breast and Ovarian Cancer]. / HerediCaRe: Dokumentations- und IT-Lösung eines spezialisierten Registers für erblichen Brust- und Eierstockkrebs.

The national registry "HerediCaRe" for the evaluation and improvement of risk-adjusted prevention in hereditary breast and ovarian cancer is one of six "model registries in health services research" funded by the BMBF. In this paper, we describe and discuss the documentation and IT solution chosen for standardized data collection based on the specific functional requirements previously defined. The documentation is divided into different modules to be used individually for each patient, which are based on a previously defined catalog of documentation items. Due to special functional requirements, a specific data entry application based on ORACLE and ORACLE Forms was developed and implemented. The specific requirements included the integration of graphical pedigree representations, the structured upload of pedigree data and molecular genetic information, the automated transfer of old data from the previous system, as well as the free programmability of complex database queries for central data quality control. A database for patient-independent management of genetic risk variants was seamlessly integrated into the application and linked to the patient-related data. The advantages and disadvantages of the chosen IT solution are critically discussed. Overall, we come to the conclusion that, in view of the complex documentation and the special functional requirements, there are no alternative ready-made software products to the in-house development we have chosen.

Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction.

BACKGROUND: Breast cancer (BC) risk prediction models consider cancer family history (FH) and germline pathogenic variants (PVs) in risk genes. It remains elusive to what extent complementation with polygenic risk score (PRS) and non-genetic risk factor (NGRFs) data affects individual intensified breast surveillance (IBS) recommendations according to European guidelines. METHODS: For 425 cancer-free women with cancer FH (mean age 40·6 years, range 21-74), recruited in France, Germany and the Netherlands, germline PV status, NGRFs, and a 306 variant-based PRS (PRS306) were assessed to calculate estimated lifetime risks (eLTR) and estimated 10-year risks (e10YR) using CanRisk. The proportions of women changing country-specific European risk categories for IBS recommendations, i.e. ≥20 % and ≥30 % eLTR, or ≥5 % e10YR were determined. FINDINGS: Of the women with non-informative PV status, including PRS306 and NGRFs changed clinical recommendations for 31·0 %, (57/184, 20 % eLTR), 15·8 % (29/184, 30 % eLTR) and 22·4 % (41/183, 5 % e10YR), respectively whereas of the women tested negative for a PV observed in their family, clinical recommendations changed for 16·7 % (25/150), 1·3 % (2/150) and 9·5 % (14/147). No change was observed for 82 women with PVs in high-risk genes (BRCA1/2, PALB2). Combined consideration of eLTRs and e10YRs identified BRCA1/2 PV carriers benefitting from IBS <30 years, and women tested non-informative/negative for whom IBS may be postponed. INTERPRETATION: For women who tested non-informative/negative, PRS and NGRFs have a considerable impact on IBS recommendations. Combined consideration of eLTRs and e10YRs allows personalizing IBS starting age. FUNDING: Horizon 2020, German Cancer Aid, Federal Ministry of Education and Research, Köln Fortune.

Limitations in next-generation sequencing-based genotyping of breast cancer polygenic risk score loci.

Considering polygenic risk scores (PRSs) in individual risk prediction is increasingly implemented in genetic testing for hereditary breast cancer (BC) based on next-generation sequencing (NGS). To calculate individual BC risks, the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) with the inclusion of the BCAC 313 or the BRIDGES 306 BC PRS is commonly used. The PRS calculation depends on accurately reproducing the variant allele frequencies (AFs) and, consequently, the distribution of PRS values anticipated by the algorithm. Here, the 324 loci of the BCAC 313 and the BRIDGES 306 BC PRS were examined in population-specific database gnomAD and in real-world data sets of five centers of the German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC), to determine whether these expected AFs can be reproduced by NGS-based genotyping. Four PRS loci were non-existent in gnomAD v3.1.2 non-Finnish Europeans, further 24 loci showed noticeably deviating AFs. In real-world data, between 11 and 23 loci were reported with noticeably deviating AFs, and were shown to have effects on final risk prediction. Deviations depended on the sequencing approach, variant caller and calling mode (forced versus unforced) employed. Therefore, this study demonstrates the necessity to apply quality assurance not only in terms of sequencing coverage but also observed AFs in a sufficiently large cohort, when implementing PRSs in a routine diagnostic setting. Furthermore, future PRS design should be guided by the technical reproducibility of expected AFs across commonly used genotyping methods, especially NGS, in addition to the observed effect sizes.