Parents' attitudes towards research involving genome sequencing of their healthy children: a qualitative study.

With widespread genomic sequencing research efforts, there is increasing impetus to return results to participants. Parents of healthy children are increasingly asked to participate in genomic research, yet there are limited studies of parental expectations for the return of results amongst healthy children. We explored parental attitudes towards their healthy children's participation in genomic research and expectations for return of results. Data collection involved semi-structured telephone interviews with parents of healthy children participating in a primary care research network. Transcripts were analyzed thematically using constant comparison. A total of 26 parents were interviewed: 22 were female, 19 self-reported as White/European, and 20 were aged 30-39. Three themes emerged: (1) Reciprocity; Parents preferred to receive medically actionable, childhood-onset results and expected recontact overtime in exchange for their research participation. (2) Downstream impacts of testing; Parents expected future clinical benefits but were concerned about the risk of genetic discrimination. (3) Power and empowerment; Some parents felt empowered to take preventative action for their child and relatives, while others did not want to limit their child's autonomy. Considering these tensions may help to inform participant-centered approaches to optimize parental decision-making and participation, as well as maximize the utility of results.

Treatable traits in asthma during pregnancy: a call for a shift towards a precision-based management approach.

Asthma is the most common chronic medical condition in pregnancy. Asthma exacerbations in pregnancy are unpredictable, and are associated with adverse maternal and fetal perinatal outcomes such as preterm birth and low birthweight. Goals of asthma management in pregnancy are to establish effective asthma control and prevent exacerbations. Optimising the management of asthma in pregnancy is an important goal of practice and future research.Treatable traits is a precision medicine paradigm proposed for the management of airways diseases, which holistically addresses the complexity and heterogeneity of airways disease. It is an individualised treatment approach that aims to improve outcomes. This makes treatable traits well suited for pregnant women with asthma, who have a high prevalence of obesity, mental health conditions, poor symptom perception and suboptimal asthma management skills including low treatment adherence. These traits are measurable and treatable. In this review, we explore current knowledge on the burden of asthma, maternal and perinatal consequences of asthma during pregnancy, the treatable traits paradigm, the prevalence of treatable traits in pregnant women with asthma, and consider how the treatable traits paradigm can be integrated into the management of asthma in pregnancy.

Whole-genome sequencing across 449 samples spanning 47 ethnolinguistic groups provides insights into genetic diversity in Nigeria.

African populations have been drastically underrepresented in genomics research, and failure to capture the genetic diversity across the numerous ethnolinguistic groups (ELGs) found on the continent has hindered the equity of precision medicine initiatives globally. Here, we describe the whole-genome sequencing of 449 Nigerian individuals across 47 unique self-reported ELGs. Population structure analysis reveals genetic differentiation among our ELGs, consistent with previous findings. From the 36 million SNPs and insertions or deletions (indels) discovered in our dataset, we provide a high-level catalog of both novel and medically relevant variation present across the ELGs. These results emphasize the value of this resource for genomics research, with added granularity by representing multiple ELGs from Nigeria. Our results also underscore the potential of using these cohorts with larger sample sizes to improve our understanding of human ancestry and health in Africa.

Current Drugs and their Therapeutic Targets for Hypoxia-inducible Factors in Cancer.

Hypoxia, a prevalent characteristic of both solid and liquid malignancies, is found to regulate how genes are expressed in a way that promotes cellular adaptability and survival. Metastasis is controlled by hypoxia-inducible factors (HIFs). HIFs are dimeric protein molecules made up of an oxygen (O2) responsive HIF-1α, HIF-2α, or HIF-3α domain and a periodically produced HIF-1ß portion (also known as ARNT). Nevertheless, it is important to note that HIFs degrade under normoxic conditions. A large multitude of different biological operations, including vessels generation, oxygen delivery, stemness, pluripotency, multiplication, epithelial to mesenchymal shift, metastatic prevalence and intrusion, redox equilibrium, and programmed cell death, are strictly controlled by over 70 immediate HIF target genes that have been reported. Metabolic reprogramming, which modulates cellular energy generation aside from oxidative phosphorylation and concerning glycolysis, is among the core tasks of HIF target genes. As a result, choosing HIFs as a primary target in the treatment of various tumors is essential. We have a very limited understanding of this extremely complex topic, which is characterised by hypoxia- induced resistance. In order to combat this, scientists are investigating numerous cutting-edge approaches. Traditional chemotherapeutic drugs used to treat cancer are frequently linked to unfavourable side effects and the development of chemoresistance. The use of natural compounds in conjunction with chemotherapy drugs is rising as a result of their capacity to alter a number of molecular practices with a lower detrimental impact. Experimental and clinical research is accumulating evidence that phytochemicals can influence the genesis and progression of cancer by favourably modulating a number of signalling pathways. Combinations of phytochemicals are potent cancer treatment options because they incentivise apoptosis, limit cell prevalence, make cancerous cells more susceptible, and escalate immunity. Despite being characterised, HIF-1-independent mechanisms for medication resistance in hypoxia are still infrequently reported. The prime aim of the article is to summarise the most recent research on the molecular basis of hypoxia-induced chemoresistance and how chemotherapy and phytochemicals can be used to treat cancer patients who are resistant to drugs.

The DataHarmonizer: a tool for faster data harmonization, validation, aggregation and analysis of pathogen genomics contextual information.

Pathogen genomics is a critical tool for public health surveillance, infection control, outbreak investigations as well as research. In order to make use of pathogen genomics data, they must be interpreted using contextual data (metadata). Contextual data include sample metadata, laboratory methods, patient demographics, clinical outcomes and epidemiological information. However, the variability in how contextual information is captured by different authorities and how it is encoded in different databases poses challenges for data interpretation, integration and their use/re-use. The DataHarmonizer is a template-driven spreadsheet application for harmonizing, validating and transforming genomics contextual data into submission-ready formats for public or private repositories. The tool's web browser-based JavaScript environment enables validation and its offline functionality and local installation increases data security. The DataHarmonizer was developed to address the data sharing needs that arose during the COVID-19 pandemic, and was used by members of the Canadian COVID Genomics Network (CanCOGeN) to harmonize SARS-CoV-2 contextual data for national surveillance and for public repository submission. In order to support coordination of international surveillance efforts, we have partnered with the Public Health Alliance for Genomic Epidemiology to also provide a template conforming to its SARS-CoV-2 contextual data specification for use worldwide. Templates are also being developed for One Health and foodborne pathogens. Overall, the DataHarmonizer tool improves the effectiveness and fidelity of contextual data capture as well as its subsequent usability. Harmonization of contextual information across authorities, platforms and systems globally improves interoperability and reusability of data for concerted public health and research initiatives to fight the current pandemic and future public health emergencies. While initially developed for the COVID-19 pandemic, its expansion to other data management applications and pathogens is already underway.

Perceptions of Individuals With Chronic Lung Disease on Home Use of Pulse Oximetry.

BACKGROUND: Pulse oximeters are often used at home by patients with chronic respiratory diseases and more recently for remote monitoring of patients with COVID-19. There are no published data outside a supervised telemedicine setting regarding patients' experiences with these devices. Our objective was to explore patients' usage patterns and perceptions of using pulse oximetry at home. METHODS: Patients with chronic respiratory disease who had a pulse oximeter at home were recruited to complete a structured survey. RESULTS: Thirty participants with a range of chronic respiratory diseases (mean age 71 y, 16 females) were recruited. Most participants (83%) used home oxygen therapy. Pulse oximeters were bought online (46.7%), at a pharmacy (40%), at a medical equipment store (6.7%), through a clinic (3.3%), or from an oxygen supplier (3.3%). Use was self-initiated in 56.7% of cases and was based on a health care-related recommendation in 26.7% of cases. Sixty percent of participants used the oximeter daily, with 90% expressing confidence in interpreting their oximeter readings primarily due to education from health care professionals and in-patient experiences. Almost all participants adjusted their activity levels or management based upon oximeter readings. Most participants reported that using a pulse oximeter at home was helpful in judging their physical limitations and provided reassurance and confidence in their disease management. CONCLUSIONS: Subjects appeared confident in their use of home pulse oximetry. Health professionals should identify patients who use pulse oximeters for monitoring and ensure that they are able to interpret readings correctly and, if appropriate, adjust management safely.

GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation.

BACKGROUND: Variant interpretation is the main bottleneck in medical genomic sequencing efforts. This usually involves genome analysts manually searching through a multitude of independent databases, often with the aid of several, mostly independent, computational tools. To streamline variant interpretation, we developed the GeneTerpret platform which collates data from current interpretation tools and databases, and applies a phenotype-driven query to categorize the variants identified in the genome(s). The platform assigns quantitative validity scores to genes by query and assembly of the genotype-phenotype data, sequence homology, molecular interactions, expression data, and animal models. It also uses the American College of Medical Genetics and Genomics (ACMG) criteria to categorize variants into five tiers of pathogenicity. The final output is a prioritized list of potentially causal variants/genes. RESULTS: We tested GeneTerpret by comparing its performance to expert-curated genes (ClinGen's gene-validity database) and variant pathogenicity reports (DECIPHER database). Output from GeneTerpret was 97.2% and 83.5% concordant with the expert-curated sources, respectively. Additionally, similar concordance was observed when GeneTerpret's performance was compared with our internal expert-interpreted clinical datasets. CONCLUSIONS: GeneTerpret is a flexible platform designed to streamline the genome interpretation process, through a unique interface, with improved ease, speed and accuracy. This modular and customizable system allows the user to tailor the component-programs in the analysis process to their preference. GeneTerpret is available online at https://geneterpret.com .

Detection of the novel SARS-CoV-2 European lineage B.1.177 in Ontario, Canada.

Background: Travel-related dissemination of SARS-CoV-2 continues to contribute to the global pandemic. A novel SARS-CoV-2 lineage (B.1.177) reportedly arose in Spain in the summer of 2020, with subsequent spread across Europe linked to travel by infected individuals. Surveillance and monitoring through the use of whole genome sequencing (WGS) offers insights into the global and local movement of pathogens such as SARS-CoV-2 and can detect introductions of novel variants. Methods: We analysed the genomes of SARS-CoV-2 sequenced for surveillance purposes from specimens received by Public Health Ontario (Sept 6 - Oct 10, 2020), collected from individuals in eastern Ontario, which comprised the study sample. Taxonomic lineages were identified using pangolin (v2.08) and phylogenetic analysis incorporated publicly available genomes covering the same time period as the study sample. Epidemiological data collected from laboratory requisitions and standard reportable disease case investigation was integrated into the analysis. Results: Genomic surveillance identified a COVID-19 case with SARS-CoV-2 lineage B.1.177 from an individual in eastern Ontario in late September, 2020. The individual had recently returned from Europe. Genomic analysis with publicly available data indicate the most closely related genomes to this specimen were from Southern Europe. Genomic surveillance did not identify further cases with this lineage. Conclusions: Genomic surveillance allowed for early detection of a novel SARS-CoV-2 lineage in Ontario which was deemed to be travel related. This type of genomic-based surveillance is a key tool to measure the effectiveness of public health measures such as mandatory self-isolation for returned travellers, aimed at preventing onward transmission of newly introduced lineages of SARS-CoV-2.

Quality of life drives patients' preferences for secondary findings from genomic sequencing.

There is growing impetus to include measures of personal utility, the nonmedical value of information, in addition to clinical utility in health technology assessment (HTA) of genomic tests such as genomic sequencing (GS). However, personal utility and clinical utility are challenging to define and measure. This study aimed to explore what drives patients' preferences for hypothetically learning medically actionable and non-medically actionable secondary findings (SF), capturing clinical and personal utility; this may inform development of measures to evaluate patient outcomes following return of SF. Semi-structured interviews were conducted with adults with a personal or family cancer history participating in a trial of a decision aid for selection of SF from genomic sequencing (GS) ( www.GenomicsADvISER.com ). Interviews were analyzed thematically using constant comparison. Preserving health-related and non-health-related quality of life was an overarching motivator for both learning and not learning SF. Some participants perceived that learning SF would help them "have a good quality of life" through informing actions to maintain physical health or leading to psychological benefits such as emotional preparation for disease. Other participants preferred not to learn SF because results "could ruin your quality of life," such as by causing negative psychological impacts. Measuring health-related and non-health-related quality of life may capture outcomes related to clinical and personal utility of GS and SF, which have previously been challenging to measure. Without appropriate measures, generating and synthesizing evidence to evaluate genomic technologies such as GS will continue to be a challenge, and will undervalue potential benefits of GS and SF.

Primary care provider perspectives on using genomic sequencing in the care of healthy children.

Genome sequencing (GS) studies involving healthy children can advance scientific knowledge of genetic variation. Little research has examined primary care providers' views on using GS in this context. This study explored primary care provider perspectives on the use of GS in research and the care of healthy children. We conducted semi-structured interviews with 16 providers discussing their views on GS research and receiving results. Interviews were analyzed by thematic analysis and constant comparison. Participants were family physicians (11/16) and primary care pediatricians (5/16) in practice for >10 years (11/16). Participants valued GS in healthy children for research purposes; however, opinions diverged on using the results in primary care. Proponents valued using results for surveillance and prevention in healthy children. Skeptics questioned the clinical utility of results and the appropriateness of applying research data in primary care. Both groups shared concerns over opportunistic screening, validity, and interpretation of results, increased health system costs and inequities, and genetic discrimination. Primary care providers were ambivalent about the appropriateness and utility of GS in the care of healthy children. Providers feel unprepared and unsure of their obligations in disclosing these results. Providers do not feel they are equipped with the necessary resources and training to support their patients in using GS results in their care.

Development of patient "profiles" to tailor counseling for incidental genomic sequencing results.

Guidelines recommend that providers engage patients in shared decision-making about receiving incidental results (IR) prior to genomic sequencing (GS), but this can be time-consuming, given the myriad of IR and variation in patients' preferences. We aimed to develop patient profiles to inform pre-test counseling for IR. We conducted semi-structured interviews with participants as a part of a randomized trial of the GenomicsADvISER.com, a decision aid for selecting IR. Interviews explored factors participants considered when deliberating over learning IR. Interviews were analyzed by thematic analysis and constant comparison. Participants were mostly female (28/31) and about half of them were over the age of 50 (16/31). We identified five patient profiles that reflect common contextual factors, attitudes, concerns, and perceived utility of IR. Information Enthusiasts self-identified as "planners" and valued learning most or all IR to enable planning and disease prevention because "knowledge is power". Concerned Individuals defined themselves as "anxious," and were reluctant to learn IR, anticipating negative psychological impacts from IR. Contemplators were discerning about the value and limitations of IR, weighing health benefits with the impacts of not being able to "un-know" information. Individuals of Advanced Life Stage did not consider IR relevant for themselves and primarily considered their implications for family members. Reassurance Seekers were reassured by previous negative genetic test results which shaped their expectations for receiving no IR: "hopefully [GS will] be negative, too. And then I can rest easy". These profiles could inform targeted counseling for IR by providing a framework to address common values, concerns. and misconceptions.

Evaluation of a decision aid for incidental genomic results, the Genomics ADvISER: protocol for a mixed methods randomised controlled trial.

INTRODUCTION: Genome sequencing, a novel genetic diagnostic technology that analyses the billions of base pairs of DNA, promises to optimise healthcare through personalised diagnosis and treatment. However, implementation of genome sequencing faces challenges including the lack of consensus on disclosure of incidental results, gene changes unrelated to the disease under investigation, but of potential clinical significance to the patient and their provider. Current recommendations encourage clinicians to return medically actionable incidental results and stress the importance of education and informed consent. Given the shortage of genetics professionals and genomics expertise among healthcare providers, decision aids (DAs) can help fill a critical gap in the clinical delivery of genome sequencing. We aim to assess the effectiveness of an interactive DA developed for selection of incidental results. METHODS AND ANALYSIS: We will compare the DA in combination with a brief Q&A session with a genetic counsellor to genetic counselling alone in a mixed-methods randomised controlled trial. Patients who received negative standard cancer genetic results for their personal and family history of cancer and are thus eligible for sequencing will be recruited from cancer genetics clinics in Toronto. Our primary outcome is decisional conflict. Secondary outcomes are knowledge, satisfaction, preparation for decision-making, anxiety and length of session with the genetic counsellor. A subset of participants will complete a qualitative interview about preferences for incidental results. ETHICS AND DISSEMINATION: This study has been approved by research ethics boards of St. Michael's Hospital, Mount Sinai Hospital and Sunnybrook Health Sciences Centre. This research poses no significant risk to participants. This study evaluates the effectiveness of a novel patient-centred tool to support clinical delivery of incidental results. Results will be shared through national and international conferences, and at a stakeholder workshop to develop a consensus statement to optimise implementation of the DA in practice. TRIAL REGISTRATION NUMBER: NCT03244202; Pre-results.