Waqar Ali

This study identifies genetic variants associated with photosynthetic traits in maize by controlling environmental and spatial confounders, revealing high-confidence GWAS signals and validating candidate genes through insertion alleles.

The paper identifies genomic intervals and transcripts associated with metabolite abundance variation in maize under field conditions using GWAS and transcriptome-wide association studies.

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.