BMC Medical Genomics is calling for submissions to our Collection on Newborn screening for genetic disorders.

Newborn screening is a cornerstone of preventive healthcare, enabling the early identification of genetic and metabolic conditions that, if left undetected, can lead to severe health complications or developmental delays. Advances in genomic technologies have transformed the landscape of neonatal diagnostics, allowing for the identification of a wide range of inherited disorders through minimally or non-invasive methods.

By bringing together interdisciplinary work from genomics, pediatrics, public health, and bioethics, this Collection seeks to foster a comprehensive view of how genomic screening can shape the future of neonatal medicine and improve lifelong health trajectories by highlighting research that leverages genomic tools to improve the detection, diagnosis, and understanding of inherited disorders in newborns. We welcome studies that explore rare genetic diseases, evaluate the clinical utility of non-invasive or minimally invasive screening techniques, and investigate the integration of genomic data into neonatal care pathways.

This Collection encourages submissions of original research articles, reviews, methodologies, commentaries, and perspective pieces on topics including, but not limited to:

• Genomic and transcriptomic approaches to newborn screening
• Identification and characterization of rare genetic disorders in neonates
• Non-invasive and minimally invasive screening technologies
• Clinical implementation and diagnostic workflows for genomic screening
• Ethical, regulatory, and policy considerations in neonatal genomics
• Cost-effectiveness and health equity in early genetic testing
• Impact of early diagnosis on long-term health outcomes

This collection supports and amplifies research related to SDG #3: Good Health and Well-Being.

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer-review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.

BMC Medical Genomics invites submissions for a Collection on genomic predictors of vaccine response and adverse events.

Recent advances in genomics and systems biology have enabled researchers to explore how genetic variations and baseline molecular states influence individual immune responses to vaccines. This emerging field combines insights from immunogenetics and genome-wide association studies (GWAS) to identify biomarkers that can predict both the effectiveness of vaccines and the likelihood of adverse events following immunization (AEFI), an area known as adversomics. By studying these genomic factors, we can tailor vaccine strategies to maximize protective effects while minimizing risks.

The exploration of genomic predictors holds significant implications for public health and personalized medicine. Identifying genetic factors associated with vaccine responses can lead to more effective vaccination strategies, particularly in populations that exhibit varied responses. Advances in this field have already begun to inform vaccine development, allowing for the design of vaccines that are more effective in specific genetic backgrounds. Furthermore, understanding adverse events can improve vaccine safety, building greater public trust and compliance.

Continued research in this area may help pave the way for personalized vaccine regimens based on individual genomic profiles. This could lead to optimized dosing strategies and targeted interventions for populations at higher risk of adverse events. Additionally, as our understanding of the immunogenetics of vaccine response grows, we may see the development of novel vaccines tailored to specific genetic markers, ultimately improving health outcomes on a broader scale.

The Collection welcomes original research articles on topics including but not limited to:

• Genetic predictors of vaccine efficacy and safety
• Adverse events following immunization (AEFI) and their relation to genomics
• Immunogenetics and the role of the "baseline" immune state in vaccine response
• Insights from genome-wide association studies (GWAS) integrated with functional genomics
• Predictive modeling frameworks using AI/ML with independent validation
• Impact of population genetics on vaccine efficacy
• Analyses addressing diversity, ancestry representation, and health equity in vaccine genomics
• Functional roles of host-resident transcriptionally active microbes in vaccine efficacy
• Genomic surveillance as a tool to strengthen vaccine strategy, monitoring, and evaluation

We’re particularly interested in submissions that emphasize mechanistic insights, replication across independent cohorts, functional characterization of identified loci, and machine-learning-based evaluation of predictive performance. We also encourage studies that address heterogeneity in vaccine responses across age groups, ancestry backgrounds, and clinical subpopulations, as well as work that carefully evaluates effect sizes, reproducibility, and generalizability.

This Collection supports and amplifies research related to SDG 3 (Good Health and Well-being).

All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.