SEARCH · PubMed Health

Results for “Genomics education”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

PubMed2025

Education, socioeconomic status, leisure sedentary behaviors and female infertility: mendelian randomization study.

BACKGROUND: Previous studies have indicated that education, socioeconomic status, and leisure sedentary behavior may be associated with female infertility. However, it remains unclear whether these associations imply causal relationships. METHODS: Genetic variants from genome-wide association studies (GWAS) of education, socioeconomic status, and leisure sedentary behaviors were obtained from the UK Biobank and MRC-IEU database (Medical Research Council Integrative Epidemiology Unit), female infertility data was acquired from the FinnGen Biobank. Univariable and multivariable MR analyses were performed to explore the relationships between these traits and female infertility. RESULTS: The results of the univariate MR analysis indicated that age of full-time education had a protective effect on female infertility (odds ratio [OR] 0.471; 95% confidence interval [CI] 0.24 to 0.93; p = 0.03). Multivariable MR and reverse MR studies support the existence of a relationship between them. However, no causal correlation was found between other traits and female infertility. No significant heterogeneity or horizontal pleiotropy was detected, and the stability of the results was confirmed through sensitivity analysis and the leave-one-out test. CONCLUSIONS: A later age of completion of full-time education may be causally related to a reduced risk of female infertility, but no causality is established between other educational levels factors, socioeconomic status, or sedentary behaviors and infertility risk.

Humans↗

PubMed2025

Genome-wide analysis of screen behaviors among adolescents identifies novel loci and overlap with educational attainment and mental disorders.

Technological devices play a central role in adolescents' life. Despite concerns about negative effects of excessive screen time, there is little knowledge of screen behaviors' genetic architecture. Using self-reports from adolescents in the Norwegian Mother, Father, and Child Cohort Study (n = 18,490), we performed genome-wide association analysis for four screen behaviors: time spent (1) watching television; (2) gaming; (3) sitting/lying down with a screen device; and (4) using social media. The resulting summary statistics were analysed using the conditional false discovery rate (condFDR) approach to increase genetic discovery. We also estimated SNP-heritabilities of the screen behaviors and genetic correlations with eight psychiatric disorders (schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, attention-deficit hyperactivity disorder, anorexia nervosa, cannabis use disorder and alcohol use disorder), and educational attainment. Screen behaviors displayed significant SNP-heritabilities (0.048-0.12). We observed significant genetic correlations between screen behaviors and psychiatric disorders (rg range: 0.21-0.42). Educational attainment demonstrated negative genetic correlation with screen behaviors, most strongly with social media use (rg = - 0.69). CondFDR analysis identified three novel loci associated with social media use. Thus, we show that screen behaviors are heritable, polygenic traits that partly share genetic signal with mental disorders and educational attainment.

Humans↗

PubMed2026

Genomic competence in nurse practitioner practice: Bridging the gap between knowledge and clinical application.

Genomics is increasingly integral to nurse practitioner (NP) practice, informing risk assessment, diagnosis, treatment selection, and precision care. Despite expanded clinical responsibilities, recent evidence demonstrates that NP genomic knowledge remains only moderate, mirroring earlier findings among registered nurses. This persistent gap highlights the need to move beyond foundational education toward applied, practice-based genomic competency. In addition to strengthening workforce preparedness, NPs must advocate for equitable access to genomic services through organizational, state, and federal policy initiatives. Advancing genomic competence and advocacy is essential to improving patient outcomes, reducing disparities, and ensuring equitable implementation of precision health care.

Humans↗

PubMed2026

Impact of precision oncology research in pediatric poor prognosis cancer: patient, parent and healthcare provider perspectives.

BACKGROUND: Comprehensive genomic analyses are increasingly accessible to children, adolescents and young adults (AYAs) with poor prognosis cancers. Challenges and successes of pediatric precision oncology studies from the perspectives of AYA patients, parents and healthcare providers (HCPs) are poorly described. METHODS: Between March 2021 and May 2023, we interviewed AYA patients (12-21 years), parents and HCPs who participated in pediatric precision oncology studies for poor prognosis cancers in British Columbia. Interviews followed an investigator-developed semi-structured topic guide. Data were coded inductively and deductively by one qualitative researcher and one trainee, supported by two additional team members. Analytic themes were established using qualitative thematic analysis. RESULTS: We interviewed 9 AYAs, 10 parents, and 17 HCPs. We identified five analytic themes: importance of clear communication of study information between patients, families and multidisciplinary HCPs; a need to support disclosure, understanding and clinical integration of research results; barriers to accessing innovative therapy and mitigation strategies; approaches to managing parent, patient and HCP hopes and expectations; personal challenges and stressors related to participation. CONCLUSIONS: We highlight unmet needs and offer practical considerations for integrating precision oncology into clinical practice. Considerations include educating and supporting oncologists through genomics results disclosure, increasing engagement with multidisciplinary HCPs, streamlining access to study information and results, coordinating efforts to clinically validate results and access therapies, and establishing real-world outcome data to inform clinical decision-making. Implementation of these strategies will optimize care for patients and families who are navigating poor prognosis cancers.

Humans↗

PubMed2026

Investigation of Mycobacterium abscessus Cluster in Hospital, Maryland, USA, 2024.

Mycobacterium abscessus infections are frequently drug resistant and can cause severe disease, particularly among vulnerable populations in healthcare settings. In June 2024, a cluster of M. abscessus infection cases was reported at a hospital in Maryland, USA. An investigation involving hospital infection prevention staff, the Maryland Department of Health, the Centers for Disease Control and Prevention, and the Wadsworth Laboratory of the New York State Department of Health included initiation of mitigation efforts such as tap water use restrictions, point-of-use water filters, hospitalwide water flushing, and staff education regarding sink safety. Whole-genome sequencing of patient and environmental isolates, coupled with epidemiologic data, revealed a strong association (0-24 single-nucleotide polymorphism differences) between environmental and patient samples, indicating that infections were likely a result of patient exposure to M. abscessus. Ensuring initiation of mitigation initiatives likely prevented additional patient infections. Although effective in this investigation, not all mitigation strategies are equal or sustainable.

Humans↗

PubMed2026

The genetic overlap between schizophrenia and major depression with cognitive function.

This study aimed to systematically dissect the shared genetic basis of schizophrenia (SCZ) and major depression (MD) with cognitive function. To investigate this, we integrated large-scale genome-wide association studies (GWAS) summary statistics for SCZ (N = 175,799, [cases, 74,776; controls, 101,023]), MD (N = 2,622,273 [cases, 550,355; controls, 2,071,918]) and four cognitive traits (reaction time, N = 330,069; memory, N = 112,067; verbal-numerical reasoning, N = 36,035; educational attainment, N = 111,114). Linkage disequilibrium (LD) score regression analysis revealed that SCZ showed significant negative genetic correlations with reaction time, memory, and verbal-numerical reasoning. MD showed negative genetic correlations with memory, verbal-numerical reasoning, and educational attainment. Bayesian colocalization analysis identified seven genomic regions with strong or supportive evidence between SCZ and cognitive function, and two genomic regions with supportive evidence between MD and cognitive function. Gene mapping and over representation analysis (ORA) indicated that SCZ-associated genes were primarily involved in pathways related to transport processes, and MD-associated genes were significantly enriched in pathways related to neural development. Through genetic correlation and colocalization analysis, this study elucidates the genetic overlap between SCZ and MD with cognitive function, providing a new perspective for related research.

Journal Article↗

PubMed2025

Underrepresented populations in genomic research: a qualitative study of researchers' perspectives.

BACKGROUND: The lack of diversity in genomic data limits researchers' ability to investigate the relationships between genetic profiles, disease manifestations, and responses to new therapies. As a result, innovations in treatment could have potentially harmful effects on a significant portion of the population due to incomplete or inaccurate genomic data. In addition, the lack of harmonization in the use of population descriptors in genomic studies raises both ethical and scientific concerns regarding which descriptors should be used to study and recruit underrepresented populations. Therefore, understanding the factors contributing to the lack of diversity in genomic research is an urgent scientific, clinical, and public health priority. This study aims to explore the social and contextual factors influencing the participation of underrepresented populations in genomic research, from the perspective of researchers in the field. METHODS: A total of 13 semi-structured interviews were conducted with researchers experienced in genomic research in Canada and fluent in either French or English. The interview transcripts were analyzed using thematic analysis. RESULTS: Researchers identified several factors contributing to the low participation of underrepresented populations in genomic research, with one key factor being the geographic distribution of research institutions and the disconnect between research efforts and the communities being studied. To address this issue, participants stressed the importance of moving away from colonial practices, such as conducting research on a community without consulting its members in the design phase. Furthermore, it was suggested that existing diversity, equity, and inclusion policies alone were insufficient to effectively address the challenge. Lastly, the study also highlighted a potential link between how study populations are categorized and the willingness of underrepresented groups to participate in genomic research. CONCLUSION: Although researchers are generally aware of the literature on the causes, consequences, and potential solutions for increasing participation, confusion remains regarding the use of population descriptors. Our findings highlight the need for improved education, greater consensus, and expanded dialogue within the genomic research community to promote the harmonization of population descriptors.

Humans↗

PubMed2025

Myco-Ed: Mycological curriculum for education and discovery.

Fungi are important and hyperdiverse organisms, yet chronically understudied. Most fungal clades have no reference genomes, impeding our understanding of their ecosystem functions and use as solutions in health and biotechnology. Also, opportunities for training in fungal biology and genomics are lacking, creating a bottleneck that hinders the recruitment and cultivation of a talented future mycological workforce. To address these issues, we developed Myco-Ed, an educational program offering training and scientific contributions through genome sequencing and analysis. Myco-Ed empowers students to pursue careers in fungal biology while improving fungal resources. Myco-Ed has been piloted at 12 institutions (15 classrooms) ranging from online e-Campuses to R1 universities, resulting in hundreds of fungal observations and many new high-quality reference genomes.

Curriculum↗

PubMed2026

Genomic Medicine Sweden: Advancing precision medicine at the national level.

High-throughput sequencing has transformed clinical diagnostics of rare diseases (RD), cancer and infectious diseases by enabling the identification of disease-causing genetic alterations and facilitating individualised treatment and care. In response to these advances, Genomic Medicine Sweden (GMS) was established in 2017 as a national collaborative effort to accelerate implementation of genomics-based precision medicine within Sweden's regionally organized, publicly funded healthcare system. GMS brings together the seven university healthcare regions and their associated medical faculties, in collaboration with healthcare regions across Sweden, Science for Life Laboratory, patient organizations, industry and governmental agencies. Activities are coordinated through national disease-specific expert groups, supported by cross-cutting functions in bioinformatics, health economics, ethics, education and patient engagement. At the operational level, seven Genomic Medicine Centres, embedded at university hospitals, develop and deliver harmonised genomic diagnostics nationwide. The National Genomics Platform provides secure infrastructure for large-scale data storage, analysis, and national and international data sharing. Following initial project-based funding, GMS now receives long-term governmental support. This review describes the national implementation of genomic-based precision diagnostics, discusses challenges and lessons learnt, and highlights key milestones across disease areas, including whole-genome sequencing in RD and paediatric cancer, comprehensive genomic profiling of haematological malignancies and solid tumours, pathogen genomics in microbiology, pharmacogenomic testing and emerging applications of polygenic risk scores in complex diseases. Collectively, these efforts have contributed to more than 500,000 genomic tests being performed within Swedish healthcare between 2017 and 2025. Finally, we outline future diagnostic needs and priority areas to ensure sustainable, scalable and equitable access to precision medicine.

Precision Medicine↗

PubMed2024

Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study.

INTRODUCTION: Metabolic syndrome is a chronic disease associated with multiple comorbidities. Over the last few years, machine learning techniques have been used to predict metabolic syndrome. However, studies incorporating demographic, clinical, laboratory, dietary, and genetic factors to predict the incidence of metabolic syndrome in Koreans are limited. In the present study, we propose a genome-wide polygenic risk score for the prediction of metabolic syndrome, along with other factors, to improve the prediction accuracy of metabolic syndrome. METHODS: We developed 7 machine learning-based models and used Cox multivariable regression, deep neural network (DNN), support vector machine (SVM), stochastic gradient descent (SGD), random forest (RAF), Naïve Bayes (NBA) classifier, and AdaBoost (ADB) to predict the incidence of metabolic syndrome at year 14 using the dataset from the Korean Genome and Epidemiology Study (KoGES) Ansan and Ansung. RESULTS: Of the 5440 patients, 2,120 were considered to have new-onset metabolic syndrome. The AUC values of model, which included sex, age, alcohol intake, energy intake, marital status, education status, income status, smoking status, dried laver intake, and genome-wide polygenic risk score (gPRS) Z-score based on 344,447 SNPs (p-value < 1.0), were the highest for RAF (0.994 [95% CI 0.985, 1.000]) and ADB (0.994 [95% CI 0.986, 1.000]). CONCLUSIONS: Incorporating both gPRS and demographic, clinical, laboratory, and seaweed data led to enhanced metabolic syndrome risk prediction by capturing the distinct etiologies of metabolic syndrome development. The RAF- and ADB-based models predicted metabolic syndrome more accurately than the NBA-based model for the Korean population.

Humans↗

PubMed2026

Oncology nurses' readiness to implement genomics-informed care: A descriptive, cross-sectional study in a Canadian province.

INTRODUCTION: Cancer care providers need to be equipped to support cancer care recipients in evolving care contexts. Genomics is an increasingly common component of cancer care. There is limited understanding of Canadian oncology nurses' readiness to contribute to genomics-informed cancer care. PURPOSE: To describe factors influencing oncology nurses' implementation of genomics in practice in Newfoundland and Labrador (NL; i.e., knowledge, attitudes, confidence, current practices, and social system influences); and identify predictors of their genomic knowledge. METHODS: A cross-sectional online survey was administered between September 2023 to February 2024 to nurses working in cancer care in NL. Variables associated with nurses' implementation of genomics-informed practice were measured using the Genomic Nursing Concept Inventory (GNCI©) and select, modified questions from the Genetics Genomics Nursing Practice Survey (GGNPS). Descriptive and inferential statistics were used to report findings. RESULTS: The survey was completed by 50 NL oncology nurses. While 46% of participants indicated that patients had initiated conversations about genomics with them in the past 3 months, their knowledge levels and reported confidence with genomics practices were low overall. Despite this, participants indicated largely positive attitudes toward the benefits of adopting genomics in practice and a willingness to learn more. CONCLUSION: Findings highlight opportunities to support oncology nurses with practice-based education and resources, to ensure readiness to meet patients' evolving needs and expectations surrounding genomics-informed cancer nursing care.

genomics↗

PubMed2025

Mendelian randomization underscores the importance of clinical nursing in mitigating anxiety and panic attack risks among low-educated populations.

Considering the complex and underexplored interplay between educational attainment (EA) and the prevalence of anxiety and panic attacks, which carries significant societal implications, we have designed a two-sample Mendelian randomization (MR) study. The primary objective of this research is to elucidate the causal relationship between education level and the risk of anxiety and panic attacks, thereby providing novel insights for clinical and nursing strategies. Our study adheres to the STROBE-MR guidelines and employs a classical two-sample MR analysis to investigate the causal relationship between EA (exposure) and the occurrence of anxiety/panic attacks (outcome). The data for 8 education-related phenotypes, along with anxiety and panic attack outcomes, were sourced from European population-based Genome-wide association studies databases. To ensure robustness, we applied 5 distinct MR analytical methods, supplemented by comprehensive sensitivity analyses, heterogeneity assessments, and evaluations of reverse causality bias to uphold rigorous quality control standards. Our findings, robust across various MR methods and consistent after inverse variance-weighted and false discovery rate (FDR) corrections, indicate a significant association between lower EA and an increased risk of anxiety or panic attacks. Specifically, individuals with no formal qualifications exhibited a higher risk (P-value = .005, OR = 1.017, 95% CI = 1.005-1.029, FDR = 0.011). In contrast, higher levels of education were associated with a reduced risk: College or University degree (P-value < .01, OR = 0.989, 95% CI = 0.984-0.995, FDR = 0.0007), EA (P-value < .01, OR = 0.999, 95% CI = 0.998-0.9995, FDR = 0.0009), and A levels/AS levels or equivalent (P-value = .011, OR = 0.988, 95% CI = 0.978-0.997, FDR = 0.019). These conclusions were consistently supported by at least 4 MR methods and successfully passed all quality control checks. Our study demonstrates a negative correlation between years of education and the risk of anxiety and panic attacks, suggesting that clinical nursing and patient education efforts should prioritize tailored psychological support and patient communication for individuals with lower EA. This population warrants enhanced attention and more compassionate care to mitigate their elevated risk of anxiety-related disorders.

Humans↗

PubMed2026

Fantastic microbes and where to find them: evaluating learning-by-doing outcomes in a crowdfunded metagenomics workshop.

Metagenomics offers a powerful framework for authentic, interdisciplinary learning, yet it remains underrepresented in undergraduate education due to technical and infrastructural barriers. We hypothesized that a research-based, learning-by-doing metagenomics workshop supported by accessible bioinformatics tools could enhance students' perceived skills, self-efficacy, and conceptual understanding of metagenomic analysis. To test this hypothesis, we designed and evaluated a hybrid hands-on workshop in which undergraduate and postgraduate students analyzed real environmental shotgun metagenomic datasets generated from soil samples collected during a citizen science initiative. Using the graphical workflow platform KBase, participants completed an end-to-end metagenomic analysis, from quality control and assembly to genome reconstruction, taxonomic classification, functional annotation, and scientific presentation of results. Educational outcomes were assessed through validated retrospective pre-post questionnaires, self-efficacy scales, and an open-ended conceptual understanding task. Participants showed significant increases in perceived metagenomic skills and confidence in performing metagenomic analyses, while gains in perceived learning showed a positive trend. Conceptual understanding improved across educational levels, particularly among participants with limited prior experience. Together, these findings demonstrate that authentic, data-driven metagenomics activities can effectively lower barriers to computational biology and foster meaningful learning through hands-on research experiences.

Metagenomics↗

PubMed2025

Intersectionality in a sociogenomic world: How do race, disability, socioeconomic status, and polygenic prediction interact to affect perceptions of educational trajectories?

PURPOSE: Education is important for lifelong skills and economic growth; however, student placement decisions may be shaped by social biases. As genomic information captured via polygenic scores becomes more available, it may also inform student placement decisions. We assessed the intersectional effects of polygenic scores, race, disability, and socioeconomic status on US adults' views of educational trajectories using an online experimental survey design. METHODS: A total of 1367 US adults were randomized to one of 16 conditions and prompted to read a short vignette about a boy named Michael, also depicted in an image. Each condition varied Michael's race (Black/White), disability (wheelchair user/no), socioeconomic status (high/low), and polygenic score (high/low) for educational attainment (EA-PGS). After reading the vignette, the respondents were asked to answer multichoice questions about Michael's immediate and long-term educational trajectories. RESULTS: Variation in Michael's EA-PGS strongly influenced participants' expectations regarding (1) the most appropriate immediate educational program for Michael (ie, general, special, or gifted education), (2) whether he would graduate high school, and, if so, (3) the highest educational degree he would complete in his lifetime (associate, bachelor, master, or PhD). Across these responses, high EA-PGS was associated with more socially desirable outcomes, whereas the opposite was true for low EA-PGS. Depicting Michael in a wheelchair significantly influenced respondents' expectations that his most appropriate immediate educational trajectory would be special. There were significant interactions between Michael's race, disability, socioeconomic status, and the EA-PGS. CONCLUSION: Information about children's EA-PGS may affect their views about their immediate and long-term educational trajectories. The negative effects of low EA-PGS were comparable to those of high EA-PGS. The EA-PGS may be interpreted in ways that compound the existing stereotypes related to a child's race, disability, and socioeconomic status.

Humans↗

PubMed2025

Evaluating Patient Experience With Genomic Medicine: A Content Analysis of National Cancer Institute-Designated Cancer Centers' Websites.

BACKGROUND: National Cancer Institute-designated cancer centers (NCI-CCs) throughout the United States are mandated to translate state-of-the-art cancer research to communities and enhance clinical care for patients within their catchment areas. NCI-CCs play a vital role in national cancer initiatives focused on optimizing cancer care via personalized medicine in which improved risk assessment, screening, and genetic testing are foundational. In this era of targeted personalized care, although genetics has been incorporated into cancer centers, it is unknown how these innovations are being communicated to the public and communities served on cancer center websites. There is particularly limited knowledge surrounding how NCI-CCs publicly communicate their efforts to integrate patient-reported experiences with genomics to fulfill their overall mission and reduce the cancer burden in their catchment areas. OBJECTIVE: The objective of this study was to evaluate how NCI-CCs publicly share information on their websites related to cancer center programming and activities to measure and incorporate patients' experiences with the use of genetics to guide cancer care. METHODS: For all NCI-CCs providing clinical care (N=65), we conducted a review of publicly available and published information and assessed five domains relevant to patients' experiences with genomic medicine: whether NCI-CCs (1) provided genetic testing, (2) directly expressed a goal of delivering personalized care, (3) provided pharmacogenomic testing, (4) assessed patient-reported experience measures with genomic medicine (including patient-reported outcomes [PROs] and other patient experience measures [OPEMs]), and (5) indicated an established infrastructure or set of resources to evaluate patient experience. We conducted a content analysis of the publicly available websites of NCI-CCs using the validated directed approach to content analysis. We quantified the results of our content analysis using count measures based on a binary (yes or no) coding scheme. RESULTS: While almost all the NCI-CCs (64/65, 98%) discussed providing personalized care and performing genetic testing on their websites, we found that 58% (38/65) indicated online that they assessed PROs or other patient experience measures with genomic medicine. Fewer centers (25/65, 38%) discussed on their websites having a mechanism for evaluating patients' experiences with genomic medicine that captured broader types of information beyond PROs, such as measures of patient education or care team communication. Finally, approximately 1 in 3 NCI-CCs (23/65, 35%) indicated having an established infrastructure with departmental resources dedicated to monitoring patients' experiences. These centers reflecting a built-in infrastructure were 8% to 12% more likely to publicly communicate targeted activities to assess patients' experiences with genomic medicine. CONCLUSIONS: With the burgeoning use of genomics in research and clinical care, comprehensive evaluation and incorporation of measures of patients' experiences with genomic medicine present a key opportunity to enhance cancer care at NCI-CCs.

Humans↗

PubMed2025

Causal relationship between educational attainment and the occurrence of venous thromboembolism.

BACKGROUND: The association between educational attainment (EA) and arterial thrombotic disease has been reported, but the causal relationship between EA and venous thromboembolism (VTE) is not clear. We aimed to assess the causal effect of EA on VTE using the two-sample mendelian randomization (MR) method. METHODS: Data mining was conducted on the genome wide association studies (GWAS), with exposure factor EA and outcome factor VTE. Two-sample Mendelian Randomization (TSMR) analysis was conducted, with the results obtained from the random effects inverse variance weighted method (IVW). Use the MR-Egger method for pleiotropy analysis and leave one method for sensitivity analysis to verify the reliability of the data. RESULTS: Genetically predicted decreased EA was associated with a decreased risk of VTE in both the FinnGen consortium and UK Biobank (FinnGen-VTE: OR = 0.848; 95% CI 0.776-0.927; P = 2.84 × 10-4; UKB-VTE OR = 0.996; 95% CI 0.994-0.999; P = 0.008) under a multiplicative random-effects IVW model. Results were consistent in all sensitivity analyses and no horizontal pleiotropy was detected. CONCLUSIONS: The MR technique instructed a potential inverse causative relationship between EA and occurrence of VTE. Therefore, patients with low EA should be more vigilant about the occurrence of VTE.

Venous Thromboembolism↗

PubMed2026

Identifying General Practitioners, Nurses, and Pharmacists Training Needs in Precision Medicine: A Survey Study.

INTRODUCTION: The clinical advances of precision medicine, elevating clinical decision-making through use of genetic and genomic data, lifestyle, and environment factors, is improving patient outcomes. Health care professionals report they are not competent or confident to deliver precision medicine to patients. To design continuing education for advanced practice nurses, general practitioners, and pharmacists, this research investigates perceived knowledge, importance, and self-efficacy in precision medicine. METHODS: Items were informed from results of a literature review and focus group study. A one-sample t test was used to compare differences for each item toward the theoretical neutral value (indifferent in our case, to number 3). To analyze differences between professions, parametric analyses of variance (ANOVA) was used. RESULTS: A lack of time, further complicated by a lack of knowledge about precision medicine services, and how to safely share patient data, with a perceived limited network of professionals in precision medicine were reported. Respondents demonstrated low confidence in precision medicine topics while indicating a willingness to pursue training aimed at improving their genetic and genomic competencies. Participants rated topics as only slightly important to their current professional roles. No significant differences were found across professional groups. DISCUSSION: Flexible formats for continuing education aligned to needs are required to target the knowledge and skills gap in precision medicine. Improved knowledge on topics including ethics, legal frameworks, and precision services is needed. Effective educational interventions aimed at enhancing the confidence and competence of health care professionals are essential to making precision care a reality for patients.

CPD↗

PubMed2025

A Qualitative Study of the Roles and Responsibilities of Academic and Journalistic Publishing in Social and Behavioral Genomics.

The conduct and translation of scientific research is shaped by academic and journalistic publishing. Academic journals issue editorial guidelines and policies that inform how researchers shape and present their studies. Journalists select and report on academic studies for public audiences. Despite the potential importance of journal editors and journalists in the scientific process, little has been done to examine how these groups think about their roles and responsibilities-especially when it comes to ethically sensitive scientific domains like social and behavioral genomics (SBG): the study of whether and how genetic differences between individuals correlate with differences in behaviors such as aggression and outcomes such as educational attainment. To begin filling this gap, we conducted semi-structured interviews with editors working at academic journals that publish SBG research (n = 10) and journalists who have reported on SBG studies (n = 13). Journal editors largely saw themselves as mediators between authors and peer reviewers who help to shepherd along research. Journalists frequently described themselves as translators of science for wide audiences; at times they also saw themselves as interrogators of science. While both groups considered SBG especially ethically sensitive and prone to risks such as misinterpretation, many expressed that systematic ethical review processes and guidelines for SBG are lacking. Further, many deferred the ethical responsibility to minimize risks associated with SBG to others. Our findings highlight the need for more explicit frameworks in academic and journalistic publishing to support the ethically responsible conduct and communication of SBG.

ELSI↗