OBJECTIVE:The aim of the study was to evaluate the ability of a combinatorial pharmacogenomic test to predict medication blood levels and relative clinical improvements in a selected pediatric population.METHODS:This study enrolled patients between ages 3 to 18 years who presented to a pediatric emergency department with acute psychiatric, behavioral, or mental health crisis and/or concerns, and had previously been prescribed psychotropic medications. Patients received combinatorial pharmacogenomic testing with medications categorized according to gene-drug interactions (GDIs); medications with a GDI were considered "incongruent," and medications without a GDI were considered "congruent." Blood levels for escitalopram, fluoxetine, aripiprazole, and clonidine were evaluated according to level of GDI. Relative clinical improvements in response to the prescribed psychotropic medications were measured using a parent-rated Clinical Global Impression of Improvement (CGI-I) assessment, where lower scores corresponded with greater improvement.RESULTS:Of the 100 patients enrolled, 73% reported taking ≥1 incongruent medication. There was no significant difference in CGI-I scores between patients prescribed congruent versus incongruent medications (3.37 vs 3.68, P = 0.343). Among patients who presented for depression or suicidal ideation, those prescribed congruent medications had significantly lower CGI-I scores compared with those taking incongruent medications ( P = 0.036 for depression, P = 0.018 for suicidal ideation). There was a significant association between medication GDI and blood levels for aripiprazole (n = 15, P = 0.01) and escitalopram (n = 10, P = 0.01).CONCLUSIONS:Our preliminary findings suggest that combinatorial pharmacogenomic testing can predict medication blood levels and relative outcomes based on medication congruency in children presenting to an emergency department with acute psychiatric/behavioral crises. Additional studies will be needed to confirm these findings.

Background and aims: Heterozygous truncating pathogenic variants (PVs) in CHEK2 confer a 1.5 to 3-fold increased risk for breast cancer and may elevate colorectal cancer risks. Less is known regarding missense variants. Here we compared the cancer associations with truncating and missense PVs in CHEK2 across breast and colorectal cancer.Methods: This was a retrospective analysis of 705,797 patients who received single laboratory multigene panel testing between 2013 and 2020. Multivariable logistic regression models determined cancer risk associated with CHEK2 variants as odds ratios (ORs) and 95% confidence intervals (CIs) after adjusting for age at diagnosis, cancer history, and ancestry. Breast and colorectal cancer analyses were performed using 6255 CHEK2 PVs, including truncating PVs (N = 4505) and missense PVs (N = 1750).Results: CHEK2 PVs were associated with an increased risk of ductal invasive breast cancer (p < 0.001) and ductal carcinoma in situ (DCIS) (p < 0.001), with no statistically significant differences when truncating PVs (p < 0.001) and missense PVs (p < 0.001) were evaluated separately. All CHEK2 variants assessed conferred little to no risk of colorectal cancer.Conclusions: In our large cohort, CHEK2 truncating and missense PVs conferred similar risks for breast cancer and did not seem to elevate risk for colorectal cancer.

Background Although several hereditary cancer predisposition genes have been implicated in pancreatic ductal adenocarcinoma (PDAC) susceptibility, gene-specific risks are not well defined and are potentially biased because of the design of previous studies. More precise and unbiased risk estimates can result in screening and prevention better tailored to genetic findings. Methods This is a retrospective analysis of 676 667 individuals, 2445 of whom had a personal diagnosis of PDAC, who received multigene panel testing between 2013 and 2020 from a single laboratory. Clinical data were obtained from test requisition forms. Multivariable logistic regression models determined the increased risk of PDAC because of pathogenic variants (PVs) in various genes as adjusted odds ratios (ORs) with 95% confidence intervals (CIs). Multivariable odds ratios were adjusted for age, personal and/or family cancer history, and ancestry. Results Overall, 11.1% of patients with PDAC had a PV. Statistically significantly elevated PDAC risk (2-sided P < .05) was observed for CDK2NA (p16INK4a) (OR = 8.69, 95% CI = 4.69 to 16.12), ATM (OR = 3.44, 95% CI = 2.58 to 4.60), MSH2 (OR = 3.17, 95% CI = 1.70 to 5.91), PALB2 (OR = 3.09, 95% CI = 2.02 to 4.74), BRCA2 (OR = 2.55, 95% CI = 1.99 to 3.27), and BRCA1 (OR = 1.62, 95% CI = 1.07 to 2.43). Conclusions This study provides PDAC risk estimates for 6 genes commonly included in multigene panel testing for hereditary cancer risk. These estimates are lower than those from previous studies, possibly because of adjustment for family history, and support current recommendations for germline testing in all PDAC patients, regardless of a personal or family history of cancer.

Objective To evaluate the efficacy of three different carrier screening workflows designed to identify couples at risk for having offspring with autosomal recessive conditions. Methods Partner testing compliance, unnecessary testing, turnaround time, and ability to identify at-risk couples (ARCs) were measured across all three screening strategies (sequential, tandem, or tandem reflex). Results A total of 314,100 individuals who underwent carrier screening were analyzed. Sequential, tandem, and tandem reflex screening yielded compliance frequencies of 25.8%, 100%, and 95.9%, respectively. Among 14,595 couples tested in tandem, 42.2% of females were screen-negative, resulting in unnecessary testing of the male partner. In contrast, less than 1% of tandem reflex couples included unnecessary male testing. The median turnaround times were 29.2 days (sequential), 8 days (tandem), and 13.3 days (tandem reflex). The proportion of ARCs detected per total number of individual screens were 0.5% for sequential testing and 1.3% for both tandem and tandem reflex testing. Conclusion The tandem reflex strategy simplifies a potentially complex clinical scenario by providing a mechanism by which providers can maximize partner compliance and the detection of at-risk couples while minimizing workflow burden and unnecessary testing and is more efficacious than both sequential and tandem screening strategies.

The prevalence, penetrance, and spectrum of pathogenic variants that predispose women to two or more breast cancers is largely unknown. We queried clinical and genetic data from women with one or more breast cancer diagnosis who received multigene panel testing between 2013 and 2018. Clinical data were obtained from provider-completed test request forms. For each gene on the panel, a multivariable logistic regression model was constructed to test for association with risk of multiple breast cancer diagnoses. Models accounted for age of diagnosis, personal and family cancer history, and ancestry. Results are reported as odds ratios (ORs) with 95% confidence intervals (CIs). This study included 98,979 patients: 88,759 (89.7%) with a single breast cancer and 10,220 (10.3%) with ≥ 2 breast cancers. Of women with two or more breast cancers, 13.2% had a pathogenic variant in a cancer predisposition gene compared to 9.4% with a single breast cancer. BRCA1, BRCA2, CDH1, CHEK2, MSH6, PALB2, PTEN, and TP53 were significantly associated with two or more breast cancers, with ORs ranging from 1.35 for CHEK2 to 3.80 for PTEN. Overall, pathogenic variants in all breast cancer risk genes combined were associated with both metachronous (OR 1.65, 95% CI 1.53–1.79, p = 7.2 × 10–33) and synchronous (OR 1.33, 95% CI 1.19–1.50, p = 2.4 × 10–6) breast cancers. This study demonstrated that several high and moderate penetrance breast cancer susceptibility genes are associated with ≥ 2 breast cancers, affirming the association of two or more breast cancers with diverse genetic etiologies.