Unraveling the Influence of Genetic Variants on Gene Regulation

A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Genetics and Genomics".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 139

Special Issue Editor


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Guest Editor
School of Medicine, University of Texas Rio Grande Valley, Edinburg, TX 78539, USA
Interests: genetics; gene expression; genomics; T2D genetics and Alzheimer’s disease genetics

Special Issue Information

Dear Colleagues,

The genetics field is reaching a new stage. Over the last few years, multiple projects have increased our understanding of species-specific genetic variability. Large-scale sequencing projects identified millions of genetic variants and the subset of variants associated with relevant phenotypes. Most associated genetic variants identified have modest effect, low replicability, and are unable to explain the observed heritability of a phenotype. Global gene expression profiles provide a genomic functional landscape that led to the identification of functional networks altered in the presence of a pathology, pollutants, or condition of interest. The integration of gene expression and genomic variation will provide the identification of highly functional genetic variants with higher potential to affect any phenotype. The challenging integration demands new statistical associative frameworks and methods relying on machine learning and artificial intelligence to reduce the computation burden. We are pleased to invite you to submit your scientific work on this Special Issue entitled “Unraveling the Influence of Genetic Variants on Gene Regulation”. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: EQTL identification, methodological advances, machine learning methods applied to the identification of EQTLs, and the identification of EQTL associated with phenotypes of interest. We look forward to receiving your contributions.

Dr. Marcio A.A. Almeida
Guest Editor

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Keywords

  • genetics
  • genomics
  • gene expression analysis
  • EQTL identification
  • machine learning and artificial intelligence

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Published Papers

This special issue is now open for submission.
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