DYNATE: Localizing rare-variant association regions via multiple testing embedded in an aggregation tree.

Area of Science:

• Genetics
• Statistical Genetics
• Genomic Association Studies

Background:

• Rare variants (RVs) contribute to phenotypic variation not explained by common variants.
• Traditional single-variant analysis has limited power for RVs.
• Existing RV aggregation methods often use static or overly broad genomic regions, leading to suboptimal signal detection.

Purpose of the Study:

• To develop a novel method for pinpointing short genomic regions highly enriched for disease-associated rare variants.
• To improve the power and accuracy of rare-variant genetic association studies.

Main Methods:

• Developed DYNamic Aggregation TEsting (DYNATE), a novel method for rare-variant association testing.
• DYNATE dynamically and hierarchically aggregates genomic regions.
• Employs a controlled weighted false discovery rate for multiple testing.

Main Results:

• Extensive simulations show DYNATE outperforms existing methods across various scenarios.
• DYNATE effectively identifies short genomic regions with high enrichment of disease-associated RVs.
• Application to amyotrophic lateral sclerosis (ALS) data identified the gene EPG5 as potentially harboring pathogenic mutations.

Conclusions:

• DYNATE offers a powerful and accurate approach for rare-variant genetic association studies.
• The method excels at identifying localized signals of association.
• DYNATE has potential for discovering novel disease-associated genes, as demonstrated by the EPG5 finding in ALS.