Application of Bioinformatics in Complex Traits

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: 20 January 2026

Special Issue Editor


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Guest Editor
Department of Biostatistics, University of Florida, Gainesville, FL 32611-7450, USA
Interests: statistical and computational methods for complex traits; multi-omics data integration (genomics, transcriptomics, epigenomics, proteomics); bioinformatics approaches for precision medicine; machine learning and deep learning for phenotype prediction and biomarker discovery; longitudinal and high-dimensional data modeling in biomedical research; design and analysis of biomarker-guided clinical trials; translational systems biology for clinical applications

Special Issue Information

Advances in bioinformatics have revolutionized the study of complex traits by enabling the integration and analysis of large-scale multi-omics data, including genomics, transcriptomics, epigenomics, proteomics, and metabolomics. This Special Issue aims to highlight innovative computational methods, statistical models, and machine learning approaches that dissect the genetic architecture and elucidate the molecular mechanisms underlying complex, multifactorial traits and diseases such as cancer, diabetes, obesity, cardiovascular disease, and substance addiction. We welcome submissions that address methodological and practical challenges in identifying gene–environment interactions, predicting polygenic risk, conducting causal inference using integrative omics, and performing network-based analysis of biological pathways.

Applications may span a broad spectrum of traits, from metabolic and behavioral phenotypes to neuropsychiatric conditions or agriculturally important traits in plants and animals. By bringing together cutting-edge research in bioinformatics, systems biology, and integrative data science, this issue will foster interdisciplinary dialog, advance our understanding of the biology of complex traits, and accelerate translational efforts in precision medicine and molecular design breeding.

Please kindly note that research articles require biological verification.

Dr. Xiang-Yang Lou
Guest Editor

Manuscript Submission Information

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Keywords

  • complex traits
  • bioinformatics
  • multi-omics integration
  • gene–environment interactions
  • polygenic risk scores
  • machine learning
  • systems biology
  • network analysis
  • statistical genetics
  • causal inference

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Published Papers

This special issue is now open for submission.
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