Multi-Omics in Human Reproductive Health

Despite major advances in reproductive medicine, the biological mechanisms driving infertility, implantation failure, pregnancy complications, and inter-individual variability in reproductive outcomes remain incompletely understood. Omics technologies offer an opportunity to bridge this gap by connecting molecular states in relevant tissues to clinically meaningful phenotypes, and by supporting reproducible biomarkers and precision approaches to reproductive care. This Research Topic aims to advance human functional and translational genomics in reproduction by promoting studies that move from discovery to validation and mechanistic insight, with clear relevance to human health.Metabolomics and transcriptomics have enabled new views of the embryo, endometrium, placenta, and reproductive microenvironments, capturing dynamic processes not readily reflected in conventional clinical measurements. At the same time, the field faces persistent challenges related to small cohorts, heterogeneous phenotyping, batch effects, and limited cross-study comparability. Multi-omics and integrative genomics approaches provide a route to more robust inference by linking genomic variation to molecular phenotypes and downstream outcomes, but these approaches require careful study design, transparent pipelines, and appropriate replication to avoid overinterpretation and to support translation.We welcome submissions addressing metabolomics, transcriptomics, and multi-omics or integrative genomics in human reproductive contexts, including embryo, endometrium, placenta, and clinically defined reproductive phenotypes. Studies that integrate inter-individual genetic variability with molecular profiling to elucidate mechanisms, stratify risk, or support clinically relevant biomarker development are particularly encouraged. Submissions should provide reproducible methods and clear validation strategies, including replication across cohorts where feasible. In line with the Human and Medical Genomics scope, manuscripts limited to bioinformatic investigation of publicly available datasets without new validation, or studies using animal models without explicit linkage to human variation and translation, are not considered suitable. Topic editors: Seang Lin Tan, Svetlana Madjunkova, Andrew Shuen Source: https://www.frontiersin.org/research-topics/80205/multi-omics-in-human-reproductive-health