Genome wide analysis of pathogenic SH2 domain mutations
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Updated: Jul 7, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Ilkka Lappalainen1, Janita Thusberg, Bairong Shen
1Department of Biological and Environmental Sciences, Division of Biochemistry, FI-00014 University of Helsinki, Finland.
Abstract:
The authors have made a genome-wide analysis of mutations in Src homology 2 (SH2) domains associated with human disease. Disease-causing mutations have been detected in the SH2 domains of cytoplasmic signaling proteins Bruton tyrosine kinase (BTK), SH2D1A, Ras GTPase activating protein (RasGAP), ZAP-70, SHP-2, STAT1, STAT5B, and the p85alpha subunit of the PIP3. Mutations in the BTK, SH2D1A, ZAP70, STAT1, and STAT5B genes have been shown to cause diverse immunodeficiencies, whereas the mutations in RASA1 and PIK3R1 genes lead to basal carcinoma and diabetes, respectively. PTPN11 mutations cause Noonan sydrome and different types of cancer, depending mainly on whether the mutation is inherited or sporadic. We collected and analyzed all known pathogenic mutations affecting human SH2 domains by bioinformatics methods. Among the investigated protein properties are sequence conservation and covariance, structural stability, side chain rotamers, packing effects, surface electrostatics, hydrogen bond formation, accessible surface area, salt bridges, and residue contacts. The majority of the mutations affect positions essential for phosphotyrosine ligand binding and specificity. The structural basis of the SH2 domain diseases was elucidated based on the bioinformatic analysis.
Insights
This study analyzes human disease mutations in Src homology 2 (SH2) domains. Bioinformatics reveals most mutations impact phosphotyrosine binding, explaining SH2 domain-related diseases.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Src homology 2 (SH2) domains are crucial in cellular signaling.
- Mutations in SH2 domains are linked to various human diseases, including immunodeficiencies, cancer, and metabolic disorders.
Purpose of the Study:
- To perform a genome-wide analysis of mutations in human SH2 domains associated with disease.
- To elucidate the structural and functional basis of SH2 domain-related pathologies using bioinformatics.
Main Methods:
- Genome-wide analysis of known pathogenic mutations in human SH2 domains.
- Bioinformatic investigation of protein properties including sequence conservation, structural stability, and ligand binding interactions.
Main Results:
- Identified disease-causing mutations in SH2 domains of key signaling proteins like BTK, STAT1, and PTPN11.
- Found that the majority of mutations occur at sites critical for phosphotyrosine ligand binding and specificity.
- Established the structural underpinnings of SH2 domain-associated diseases.
Conclusions:
- SH2 domain mutations are a significant cause of diverse human diseases.
- Bioinformatic analysis provides crucial insights into the molecular mechanisms of these diseases.
- Understanding these mutations aids in diagnosing and potentially treating SH2 domain-related disorders.
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