Positive predictive value highlights four novel candidates for actionable genetic screening from analysis of 220,000 clinicogenomic records.

PURPOSE: To identify conditions that are candidates for population genetic screening based on population prevalence, penetrance of rare variants, and actionability. METHODS: We analyzed exome and medical record data from >220,000 participants across two large population health cohorts with different demographics. We performed a gene-based collapsing analysis of rare variants to identify genes significantly associated with disease status. RESULTS: We identify 74 statistically significant gene-disease associations across 27 genes. Seven of these conditions have a positive predictive value (PPV) of at least 30% in both cohorts. Three are already used in population screening programs (BRCA1, BRCA2, LDLR), and we also identify four new candidates for population screening: GCK with diabetes mellitus, HBB with ß-thalassemia minor and intermedia, PKD1 with cystic kidney disease, and MIP with cataracts. Importantly, the associations are actionable in that early genetic screening of each of these conditions is expected to improve outcomes. CONCLUSION: We identify seven genetic conditions where rare variation appears appropriate to assess in population screening, four of which are not yet used in screening programs. The addition of GCK, HBB, PKD1, and MIP rare variants into genetic screening programs would reach an additional 0.21% of participants with actionable disease risk, depending on the population.

A study of over 35,000 women with breast cancer tested with a 25-gene panel of hereditary cancer genes.

BACKGROUND: As panel testing becomes more common in clinical practice, it is important to understand the prevalence and trends associated with the pathogenic variants (PVs) identified. This is especially true for genetically heterogeneous cancers, such as breast cancer (BC), in which PVs in different genes may be associated with various risks and cancer subtypes. The authors evaluated the outcomes of genetic testing among women who had a personal history of BC. METHODS: A total of 35,409 women with a single diagnosis of BC who underwent clinical genetic testing with a 25-gene panel were included in the current analysis. Women with multiple BCs and men with BC were excluded. The frequency and distribution of PVs were assessed for the overall cohort, among women with triple-negative BC (TNBC) (n = 4797), and by age at diagnosis. RESULTS: PVs were identified in 9.3% of women tested; 51.5% of PVs were identified in genes other than breast cancer 1 (BRCA1) and BRCA2, including checkpoint kinase 2 (CHEK2) (11.7%), ataxia telangiectasia mutated (ATM; ATM serine/threonine kinase) (9.7%), and partner and localizer of BRCA2 (PALB2) (9.3%). The prevalence of PVs in BRCA1, PALB2, BRCA1-associated RING domain 1 (BARD1), BRCA1-interacting protein C-terminal helicase 1 (BRIP1), and RAD51 paralog C (RAD51C) was statistically higher among women with TNBC. The PV rate was higher among women aged <40 years, lower among women aged >59 years, and relatively constant (8.5%-9.0%) among women who were diagnosed between ages 40 and 59 years. CONCLUSIONS: These results demonstrate that panel testing increased the number of women identified as carrying a PV in this cohort compared with BRCA testing alone. Furthermore, the proportion of women identified who carried a PV in this cohort did not decrease between ages 40 and 59 years. Cancer 2017;123:1721-1730. © 2017 American Cancer Society.