Universal Germline-Genetic Testing for Breast Cancer: Implementation in a Rural Practice and Impact on Shared Decision-Making.

BACKGROUND: Whereas the National Comprehensive Cancer Network (NCCN) criteria restrict germline-genetic testing (GGT) to a subset of breast cancer (BC) patients, the American Society of Breast Surgeons recommends universal GGT. Although the yield of pathogenic germline variants (PGV) in unselected BC patients has been studied, the practicality and utility of incorporating universal GGT into routine cancer care in community and rural settings is understudied. This study reports real-world implementation of universal GGT for patients with breast cancer and genetics-informed, treatment decision-making in a rural, community practice with limited resources. METHODS: From 2019 to 2022, all patients with breast cancer at a small, rural hospital were offered GGT, using a genetics-extender model. Statistical analyses included Fisher's exact test, t-tests, and calculation of odds ratios. Significance was set at p < 0.05. RESULTS: Of 210 patients with breast cancer who were offered GGT, 192 (91.4%) underwent testing with 104 (54.2%) in-criteria (IC) and 88 (45.8%) out-of-criteria (OOC) with NCCN guidelines. Pathogenic germline variants were identified in 25 patients (13.0%), with PGV frequencies of 15 of 104 (14.4%) in IC and ten of 88 (11.4%) in OOC patients (p = 0.495). GGT informed treatment for 129 of 185 (69.7%) patients. CONCLUSIONS: Universal GGT was successfully implemented in a rural, community practice with > 90% uptake. Treatment was enhanced or de-escalated in those with and without clinically actionable PGVs, respectively. Universal GGT for patients with breast cancer is feasible within rural populations, enabling optimization of clinical care to patients' genetic profile, and may reduce unnecessary healthcare, resource utilization.

Genetic analysis of choroideremia families in the Australian population.

BACKGROUND: Choroideremia is an X-linked inherited chorioretinal disease known to be caused by mutations in the CHM gene. In this study, Australian families clinically diagnosed with choroideremia were genetically analysed for mutations in the CHM gene. DESIGN: The Australian Inherited Retinal Disease Register and DNA Bank (AIRDR) was investigated to identify a cohort of choroideremia-affected families for genetic analysis. PARTICIPANTS: Participants were sourced from the AIRDR. Thirty-two participants (15 affected, 10 carriers, 7 unaffected) sourced from 11 unrelated families having at least one member clinically diagnosed with choroideremia were included in the study. METHODS: We performed sequence analysis of the CHM gene on the DNA of nine probands. We received the direct sequencing results of two probands by other means. Targeted analysis was subsequently performed for all 32 participants to confirm the direct sequencing results in the 11 probands and to establish the presence or absence of the implicated mutation in the remaining 21 affected, carrier or unaffected family members. MAIN OUTCOME MEASURES: Genetic characterisation of 11 choroideremia families in the Australian population. RESULTS: A CHM mutation was detected in all 11 families. Each family had a different mutation. Mutations segregated within each family according to disease status. Five mutations were novel and six have been previously reported. CONCLUSIONS: Six previously reported and five novel CHM mutations were detected in 11 Australian families clinically diagnosed with choroideremia. We anticipate that this work will facilitate access for AIRDR participants and their progeny to CHM gene therapy trials.

Correlates of Health Literacy among Farmers in Northern Thailand.

Low health literacy is a barrier to public health efforts worldwide. Agricultural workers have an elevated risk for lower health literacy, with important health implications because of their potential exposure to harmful chemicals. The Asian Health Literacy Survey (AHLS) has been developed and translated for use in several different Asian countries and is standardized for easy comparisons across regions. However, it has not been translated for use in Thailand. The purpose of this study was to (1) to determine the health literacy of rural Thai farmers in Northern Thailand, and (2) identify correlates of health literacy within this group. Internal consistency of the Thai AHLS translation was "excellent" (alpha = 0.92). Descriptive results showed that health literacy was relatively high (M = 34.98/50, SD = 6.87). Education, income, working as a village health volunteer, age, length of time farming, no chemical use in farming, health, and pesticide screening were statistically significant correlates of health literacy (R2 = 0.19). Thai farmers had higher health literacy than reported for several other Asian countries. Results may be used to inform the design of future health promotion programs.

The genetic profile of Leber congenital amaurosis in an Australian cohort.

BACKGROUND: Leber congenital amaurosis (LCA) is a severe visual impairment responsible for infantile blindness, representing ~5% of all inherited retinal dystrophies. LCA encompasses a group of heterogeneous disorders, with 24 genes currently implicated in pathogenesis. Such clinical and genetic heterogeneity poses great challenges for treatment, with personalized therapies anticipated to be the best treatment candidates. Unraveling the individual genetic etiology of disease is a prerequisite for personalized therapies, and could identify potential treatment candidates, inform patient management, and discriminate syndromic forms of disease. METHODS: We have genetically analyzed 45 affected and 82 unaffected individuals from 34 unrelated LCA pedigrees using predominantly next-generation sequencing and Array CGH technology. RESULTS: We present the molecular findings for an Australian LCA cohort, sourced from the Australian Inherited Retinal Disease Registry & DNA Bank. CEP290 and GUCY2D mutations, each represent 19% of unrelated LCA cases, followed by NMNAT1 (12%). Genetic subtypes were consistent with other reports, and were resolved in 90% of this cohort. CONCLUSION: The high resolution rate achieved, equivalent to recent findings using whole exome/genome sequencing, reflects the progression from hypothesis (LCA Panel) to non-hypothesis (RD Panel) testing and, coupled with Array CGH analysis, is a highly effective first-tier test for LCA.

A computer-assisted method for pathogenicity assessment and genetic reporting of variants stored in the Australian Inherited Retinal Disease Register.

The assignment of pathogenicity to variants suspected of causing an inherited retinal disease and the subsequent creation of molecular genetic reports sent to clinical geneticists and ophthalmologists has traditionally been time-consuming and subject to error and ambiguity. The purpose of this paper is to describe a computer-assisted method we have developed for (1) assessment of the predicted pathogenicity of genetic variants identified in patients diagnosed with an inherited retinal disease and (2) the incorporation of these results into the Australian Inherited Retinal Disease Register and DNA Bank's databases, for the production of molecular genetics reports. This method has significantly accelerated the assessment of variant pathogenicity prediction and subsequent patient report generation for the Australian Inherited Retinal Disease Register and DNA Bank, and has reduced the potential for human error. The principles described in this paper may be applied in any situation where genetic variants and patient information are stored in a well-organised database.

Progress and prospects of next-generation sequencing testing for inherited retinal dystrophy.

Next-generation sequencing, also known as massively paralleled sequencing, offers an unprecedented opportunity to study disease mechanisms of inherited retinal dystrophies: a dramatic change from a few years ago. The specific involvement of the retina and the manageable number of genes to sequence make inherited retinal dystrophies an attractive model to study genotype-phenotype correlations. Costs are reducing rapidly and the current overall mutation detection rate of approximately 60% offers real potential for personalized medicine and treatments. This report addresses the challenges ahead, which include: better understanding of the mutation mechanisms of syndromic genes in apparent non-syndromic patients; finding mutations in patients who have tested negative or inconclusive; better variant calling, especially for intronic and synonymous variants; more precise genotype-phenotype correlations and making genetic testing more broadly accessible.