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Regulatory variants: from detection to predicting impact.

Elena Rojano1, Pedro Seoane1, Juan A G Ranea2

  • 1Department of Molecular Biology and Biochemistry, University of Malaga (UMA), 29010 Malaga, Spain.

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Summary
This summary is machine-generated.

Discovering disease-associated regulatory variants in non-coding DNA is crucial for understanding complex diseases. This review details methods for identifying, annotating, and predicting the functional impact of these non-coding variants.

Keywords:
GWAScomplex diseasesnon-coding DNAregulatory variantsvariant analysis

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Non-coding genomic variants can significantly impact disease by altering regulatory elements like enhancers and transcription factor binding sites.
  • There is a growing focus on understanding these regulatory variants and their role in disease pathogenesis.
  • International consortia are actively identifying regulatory elements and assessing the impact of genetic variants on gene expression.

Purpose of the Study:

  • To describe methods for discovering disease-associated non-coding variants using sequencing technologies.
  • To explain computational approaches for annotating variants and predicting their functional effects, including pathogenicity.
  • To review validation techniques and emerging technologies like CRISPR-Cas9 for studying regulatory variants.

Main Methods:

  • Sequencing technologies for variant discovery.
  • Computational methods for variant annotation and prediction (rule-based and machine learning).
  • Experimental validation techniques including chromatin interaction mapping and CRISPR-Cas9 technology.

Main Results:

  • Examples of regulatory variants associated with complex diseases are provided.
  • The review outlines a comprehensive workflow from variant discovery to functional prediction and validation.
  • Emerging technologies like CRISPR-Cas9 are highlighted for their potential impact.

Conclusions:

  • Characterizing non-coding regulatory variants is essential for understanding disease mechanisms.
  • A combination of sequencing, computational analysis, and experimental validation is key.
  • This review serves as a guide for researchers and clinicians interested in non-coding variant analysis.