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MTR3D: identifying regions within protein tertiary structures under purifying selection.

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Identifying disease-causing genetic variants is challenging. A new 3D spatial intolerance score (MTR3D) improves accuracy by analyzing protein structure, outperforming sequence-only methods for pinpointing harmful missense variants.

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Area of Science:

  • Genomics
  • Structural Biology
  • Bioinformatics

Background:

  • Identifying disease-causing genetic variants is crucial for understanding human health.
  • Existing methods often rely solely on sequence data, which can be limited.
  • Mapping population variation to protein structures is key to improving variant interpretation.

Purpose of the Study:

  • To develop and validate a novel 3D spatial intolerance score (MTR3D) for identifying disease-causal variants.
  • To compare the performance of MTR3D with sequence-based Missense Tolerance Ratio (MTR).
  • To create a consensus score (MTRX) integrating sequence and spatial information for enhanced variant prediction.

Main Methods:

  • Integrated population variation data from >448,000 exome/genome sequences with >81,000 human proteome structures.
  • Calculated regional intolerance to missense variation (MTR) using sequence-based sliding windows.
  • Developed a 3D spatial intolerance score (MTR3D) using spherical regions around amino acids.

Main Results:

  • MTR3D demonstrated reduced bias from data-limited regions and better identification of purifying selection compared to MTR.
  • Regions with low MTR3D scores were significantly enriched for pathogenic variants from ClinVar and COSMIC databases (P < 2.2 × 10-16).
  • The consensus score MTRX achieved high accuracy (AUC = 0.85) in distinguishing pathogenic from benign variants, outperforming individual scores.

Conclusions:

  • The 3D Missense Tolerance Ratio (MTR3D) is a more accurate and less biased method for identifying functionally constrained protein regions.
  • Combining sequence and spatial intolerance scores (MTRX) significantly improves the prediction of disease-causal missense variants.
  • The MTR3D web server provides accessible visualization of variant intolerance scores across human genes and protein structures.