Yanni Zeng

The paper infers circadian phase from blood biomarkers in UK Biobank using machine learning and defines a new construct, circadian acceleration, with genetic and environmental associations.

The paper integrates genetic and transcriptomic data to show that germline variants influence tumor microenvironment cell interactions and prognosis in nasopharyngeal carcinoma.

The study distinguishes between memory strengthening and generalization, finding that memory generalization, not strengthening, drives depression-like behaviors through mPFC-BNST circuit mechanisms.

This study identifies three novel germline variants associated with nasopharyngeal carcinoma risk and introduces a refined polygenic risk score linked to EBV infection.

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 KRAB-ZFP genes' influence on CpG-site methylation and links these methylation patterns to disease phenotypes like rheumatoid arthritis and HIV infection.

This study identifies modifiable parent-of-origin effects on DNA methylation by analyzing genetic and environmental factors in a large cohort.

This study uses genome-wide methylation data to assess the impact of smoking and gene-smoking interactions on obesity-related traits, showing improved variance explanation compared to traditional methods.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

This study identifies epigenome-wide DNA methylation differences between APOE ε4 and ε2 carriers in whole blood, implicating lipid-related genes.

The paper identifies DNA methylation signatures associated with dementia risk factors in blood samples from individuals without Alzheimer's disease.

This study identifies 29 differentially methylated sites associated with respiratory function and COPD, showing improved prediction of COPD risk when added to clinical models.

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.

The paper investigates the genetic and environmental contributions to stressful life events and their overlap with depression and neuroticism using a large family-based sample.

This study performs genome-wide meta-analyses of depression in two large cohorts, finding one significant locus and suggesting larger sample sizes may be more informative than phenotypic stratification.

This study performs a genome-wide haplotype-based association analysis for major depressive disorder using two cohorts, identifying significant haplotypes potentially linked to the disorder.

This study investigates shared genetic architecture between subcortical brain volumes and MDD using GWAS data from multiple cohorts, finding a non-significant positive genetic correlation for hippocampal volume.

This study identifies shared genetic and couple-associated environmental factors contributing to both clinical and self-declared depression risks.

This study identifies genetic and environmental factors contributing to chronic pain and its link to major depressive disorder using data from Generation Scotland and UK Biobank.