[Practice and insights into standardized multi-omics processing frameworks: a study based on the healthy aging cohort...

Multi-omics technologies have been instrumental in contemporary medical research, offering a comprehensive perspective on the biological characteristics of aging and associated diseases across multiple dimensions. However, challenges remain in standardizing multi-omics data processing in China, particularly with regard to inconsistencies in sample collection, detection platforms, quality control, and data storage. These discrepancies hinder the integration of data across diverse cohorts and limit the broader applicability of multi-omics research. Based on the Chinese Healthy Aging Cohort, this study established a standardized processing framework covering sample collection, omics profiling, data storage, and quality control. By optimizing the integration of multi-center data, the consistency and comparability of the datasets were improved, thereby providing robust support for research on aging mechanisms and precision health. This work offers a valuable technical reference and practical insights for multi-omics studies in related fields.