Vijay Kumar Pounraja

The paper examines how modifier variants affect clinical outcomes in individuals with primary disease variants, showing context-dependent phenotypic associations and synergistic interactions.

This paper introduces a framework to identify rare variant combinations in complex disorders by combining the apriori algorithm with statistical inference, revealing significant associations with phenotypes like ID and schizophrenia.

The paper tests a 'two-hit' model for neurodevelopmental defects by examining interactions between 16p12.1 homologs and 'second-hit' genes in Drosophila and Xenopus laevis, finding genetic interactions in 63% of tested pairs.

CN-Learn improves CNV detection from exome sequencing by integrating multiple callers and machine learning, achieving higher precision and recall than individual methods or Venn diagram approaches.