Dan Li Jiang

The paper introduces PIXANT, a multi-phenotype imputation method that improves GWAS power by imputing 425 phenotypes for 277,301 individuals, leading to the discovery of 18.4% more GWAS loci.

This paper introduces Genetic Transformer (GeneT), an LLM-driven method that significantly reduces candidate variant numbers and improves recall in rare disease diagnosis.

This study identifies genomic variations and candidate genes affecting growth in large yellow croaker using whole genome resequencing and GWAS.