Xueyi Shen

This study analyzes rare variants in the FADS region and their associations with metabolites and Major Depression using genome-wide sequencing data from large cohorts.

This study identifies shared genetic loci between chronic pain and depression using genome-wide association data, revealing potential molecular mechanisms underlying their comorbidity.

This study identifies 49 CpG sites associated with generalized anxiety disorder across three ancestries but finds limited replication in an independent cohort.

This study identifies 52 genetic variants associated with adolescent-onset depression through a large GWAS, revealing age-specific mechanisms and potential drug targets.

The paper describes a large DNA methylation dataset from the Generation Scotland cohort, providing methylation profiles and associated phenotypes for research purposes.

This study identifies lifestyle, early-life, and genetic factors associated with brain age gaps in individuals with major depressive disorder compared to controls.

The paper identifies general and specific patterns of cortical gene expression related to cognitive functioning using principal component analysis and validates them across datasets.

The paper identifies parent-of-origin effects on the methylome linked to aging rates by analyzing CpG methylation in a large family cohort.

The paper identifies DNA methylation and proteomic markers associated with brain health through integrated methylome and phenome analyses.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

The paper associates eQTL-derived gene expression scores with white matter microstructure in UK Biobank, identifying 8 significant genetic proxies linked to structural connectivity traits.

The paper examines brain age trajectories in young individuals with and without familial risk of mood disorder, finding decelerated brain maturation in those who later develop the disorder.

This study identifies genetic loci associated with household income and links them to biological pathways and cognitive ability, showing genetic differences between income and education.

The paper identifies a neurobiological distinction in MDD subtypes based on SCZ polygenic risk, showing varying RACC thickness differences between MDD cases and controls.

The paper examines the relationship between white matter microstructure and longitudinal depressive symptoms in mid-late life, finding significant associations across different measures of symptomatology.

This study examines associations between vascular risk factors and brain MRI indices in UK Biobank, finding that higher vascular risk is linked to poorer brain health across macro- and microstructural measures.

A meta-analysis of 807,553 people from 23andMe, UK Biobank and PGC finds 102 depression variants. 87 of them replicate in 1,306,354 individuals, and heritability is enriched in prefrontal brain regions.

The paper examines resting-state brain connectivity in UK Biobank data and finds associations with cognitive performance, educational attainment, and household income.

Across 5,216 UK Biobank adults, males had larger brain volumes and surface areas, females thicker cortices and stronger default-mode connectivity; male variance was generally greater.

This study conducts a GWAS on depression phenotypes in UK Biobank, identifying genetic variants enriched in excitatory synaptic pathways.

This study examines the association between polygenic risk scores for Major Depressive Disorder derived from the NETRIN1 pathway and whole-genome variants with white matter microstructure in the UK Biobank.

This study finds reduced white matter integrity in individuals with major depressive disorder using UK Biobank imaging data, but no significant subcortical volume differences.

This study examines the genetic overlap between major psychiatric disorders and brain structure in UK Biobank data but finds no significant associations.