Xikun Han

This study analyzes 26 years of abstracts from two major human genetics conferences to identify geographic disparities in researcher representation and oral presentation success.

The paper identifies 46,802 enhancers and 164 psychiatric disorder variants with regulatory effects in the developing cortex and organoids using massively parallel reporter assays and deep learning.

The paper generates a molecular neuroanatomical map of the human prefrontal cortex using spatial transcriptomics and single nucleus RNA-sequencing, revealing novel spatial domains and cell-cell interactions linked to psychiatric disorders.

The paper uses AI to identify genes associated with intraocular pressure by analyzing morphological changes in trabecular meshwork cells after gene knockouts.

This study uses gene knockouts and single-cell RNA sequencing to identify genetic networks contributing to elevated intraocular pressure in glaucoma.

This study identifies genetic loci associated with PCOS and shows genetic correlations with inflammation and sex hormones, improving PCOS prediction through polygenic risk scores.

This study identifies 49 genetic loci associated with sleep apnoea risk using multi-trait GWAS, with 29 replicated in a large cohort, and finds genetic correlations with several complex traits.

This study identifies genetic and molecular differences in RPE cells from geographic atrophy patients compared to controls using transcriptomic and proteomic analyses.

This study uses iPSC-derived retinal organoids to identify retinal ganglion cell-specific expression quantitative trait loci associated with primary open-angle glaucoma.

The paper uses AI to label optic nerve head images, enabling cross-ancestry genetic studies and identifying over 200 new loci associated with glaucoma risk.