Predictive SNPs for β⁰-thalassemia/HbE disease severity

Area of Science:

• Genetics
• Hematology
• Genomic Medicine

Background:

• Beta-thalassemia/HbE disease presents diverse clinical phenotypes, impacting management decisions.
• Existing severity scores are based on Mediterranean populations, necessitating ethnic-specific models.
• Predicting disease severity aids in clinical management and treatment strategies for beta-thalassemia/HbE.

Purpose of the Study:

• To identify single nucleotide polymorphisms (SNPs) predictive of clinical severity in Thai beta-thalassemia/HbE patients.
• To develop and validate a multi-SNP risk score for predicting disease severity in Southeast Asian populations.

Main Methods:

• Genome-wide association studies (GWAS) data from 487 Thai patients were analyzed using the iLoci algorithm.
• Three SNPs (rs766432, rs9399137, rs72872548) were identified through SNP interaction analysis.
• The predictive score was validated in independent Thai and Malaysian cohorts.

Main Results:

• A three-SNP risk score incorporating rs766432 (BCL11A), rs9399137 (HBS1L-MYB), and rs72872548 (HBE1) was developed.
• The score demonstrated over 85% specificity and 75% accuracy in predicting disease severity.
• Validation in independent cohorts confirmed comparable predictive performance.

Conclusions:

• A novel three-SNP predictive score accurately assesses clinical severity in Southeast Asian beta-thalassemia/HbE patients.
• This SNP risk score offers a valuable tool for personalized risk stratification and clinical management.
• The findings highlight the importance of ethnic-specific genetic markers for predicting disease severity.