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ORE identifies extreme expression effects enriched for rare variants.

F Richter1, G E Hoffman2,3, K B Manheimer4

  • 1Graduate School of Biomedical Sciences.

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|March 24, 2019
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Summary
This summary is machine-generated.

We developed Outlier-RV Enrichment (ORE) software to identify rare variants (RVs) in non-coding DNA linked to Mendelian disorders. This tool enhances the study of genetic contributions to rare diseases.

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Area of Science:

  • Genomics
  • Computational Biology
  • Human Genetics

Background:

  • Non-coding rare variants (RVs) are implicated in Mendelian disorders but are difficult to study.
  • Previous research faced challenges due to small sample sizes, genetic heterogeneity, and undefined non-coding features.
  • Existing methods for identifying RVs associated with expression outliers lacked standardization and open-source software.

Purpose of the Study:

  • To develop a comprehensive, open-source software tool for identifying biologically meaningful non-coding rare variants.
  • To address the limitations of previous studies in analyzing non-coding RVs associated with disease phenotypes.

Main Methods:

  • Developed Outlier-RV Enrichment (ORE), a novel software tool.
  • Integrated whole-genome sequencing and cardiac RNA sequencing data from congenital heart defect patients and deceased adults.
  • Employed rank-based outlier detection for sensitivity and a most extreme outlier approach for specificity.

Main Results:

  • ORE successfully identified biologically meaningful non-coding RVs.
  • Rarer variants demonstrated stronger associations with expression outliers.
  • Findings suggest negative selective pressure on rare variants, supporting their role in Mendelian disorders.

Conclusions:

  • Outlier-RV Enrichment (ORE) provides a robust framework for studying non-coding rare variants.
  • The software facilitates the investigation of genetic contributions to Mendelian disorders.
  • The developed tool is available as open-source, promoting further research in the field.