Journal of Precision Biosciences
Precision sciences | Online ISSN 3064-9226
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Articles
Volume 7 Number 1 2025
REVIEWS (Open Access)
Benchmarking the Omics Revolution: A Comprehensive Meta-Analysis of Methodological Consistency and Clinical Readiness
Samima Nasrin Setu1*, Rifat Bin Amin2, Raihan Mia1
Journal of Precision Biosciences 7 (1) 1-8 https://doi.org/10.25163/biosciences.7110539
Submitted: 13 October 2025 Revised: 09 December 2025 Accepted: 17 December 2025 Published: 19 December 2025
Abstract
Omics technologies—including genomics, transcriptomics, proteomics, and metabolomics—have revolutionized our understanding of complex biological systems, offering unprecedented insights into health, disease progression, and therapeutic responses. This systematic review and meta-analysis synthesize findings from recent studies to evaluate the performance, reproducibility, and clinical applicability of various omics approaches. A comprehensive search of databases was performed, and studies meeting predefined inclusion criteria were analyzed qualitatively and quantitatively. Forest and funnel plot analyses revealed heterogeneity in omics data, influenced by experimental design, sample type, and analytical platforms. Statistical analyses demonstrated that while genomics and transcriptomics consistently provided high-resolution molecular insights, metabolomics and proteomics showed variable reproducibility across studies, often due to technical and biological variability. Bias assessment indicated potential publication bias in studies reporting extreme effect sizes, highlighting the need for standardized protocols and cross-validation. Overall, omics approaches offer powerful tools for biomarker discovery, pathway analysis, and precision medicine applications. However, translating omics findings into clinical practice requires rigorous validation, integration with other datasets, and careful interpretation of statistical results. This review consolidates current evidence, identifies strengths and limitations of omics methodologies, and provides guidance for future research. By offering a meta-analytical perspective, it emphasizes the potential of omics in advancing personalized healthcare while addressing challenges related to data reproducibility, technical variability, and study design.Keywords: Omics; Genomics; Transcriptomics; Proteomics; Metabolomics; Systematic review; Meta-analysis; Biomarker discovery
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