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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
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Exploring functional variant discovery in non-coding regions with SInBaD.

Kjong-Van Lehmann1, Ting Chen

  • 1Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.

Nucleic Acids Research
|September 4, 2012
PubMed
Summary

A new Sequence-Information-Based-Decision-model (SInBaD) predicts functional genetic variants using nucleotide conservation. Predicted functional variants show higher occurrence in cancer patients, aiding genotype-phenotype understanding.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale sequencing projects necessitate advanced methods for predicting functional genetic variants.
  • Understanding genotype-phenotype relationships requires accurate variant functional prediction in coding and non-coding regions.

Purpose of the Study:

  • To introduce SInBaD (Sequence-Information-Based-Decision-model), a novel computational model for predicting functional human variants.
  • To evaluate SInBaD's accuracy and utility in identifying disease-associated variants.

Main Methods:

  • SInBaD utilizes nucleotide conservation information to assess human variants across exons, introns, splice junctions, and promoters.
  • Separate mathematical models are developed for promoters, exons, and introns, trained on human disease mutation data.
  • Ten-fold cross-validation and independent test set validations were performed.

Main Results:

  • SInBaD demonstrates high prediction accuracy through cross-validation.
  • Variants predicted as functional by SInBaD occur significantly more frequently in cancer patients.
  • The model identified potentially functional variants in four individual genomes.

Conclusions:

  • SInBaD offers a robust method for functional variant prediction, aiding in genotype-phenotype correlation.
  • The model's findings suggest a link between predicted functional variants and cancer.
  • SInBaD is compatible with standard variant call files (VCF 4.0) and is accessible online.