Qian Zhang

This study identifies 619 IBD risk signals, resolves 81 high-confidence variants, and prioritizes 664 candidate effector genes using GWAS, eQTL, and exome sequencing.

This study uses exome and genome sequencing to identify 68 genes directly associated with inflammatory bowel disease, providing clearer genetic insights and therapeutic targets.

The paper identifies CFTR loss-of-function variants as protective against IBD using large-scale exome sequencing data and evaluates variant prioritization methods.

The paper uses network-based expansion of GWAS results to identify pleiotropic gene modules linked to multiple traits and demonstrates their application in studying inflammatory bowel disease.

The paper shows that local CpG density influences age-related DNA methylation changes in humans by analyzing longitudinal methylation data and SNP data from 600 individuals.

This study identifies genetic and epigenetic factors associated with inflammatory protein levels in older adults using GWAS and EWAS with a Bayesian framework.

This study identifies DNA methylation loci associated with age-by-sex interactions in a cohort of 2,586 individuals, finding most significant loci are X-linked and linked to disease-related genes.

This study examines how DNAm PhenoAge, a biomarker of biological ageing, relates to health outcomes and cognitive ability across the lifespan, finding that early-life cognitive factors influence later-life health.

OSCA provides a tool for omic-data-based complex trait analysis using the MOMENT method, showing improved robustness and lower false positive rates in simulations.

This study identifies genetic and epigenetic factors associated with neurological protein levels in the Lothian Birth Cohort 1936, revealing potential causal links to neurological diseases.

This paper introduces a Bayesian method to estimate epigenetic associations with complex traits, finding that methylation data captures significant variance in BMI and smoking behavior.

The paper improves age prediction from DNA methylation using larger datasets, showing reduced error and limitations in capturing biological ageing variation.

The paper develops DNA methylation predictors for BMI, smoking, alcohol, and education, finding they explain some phenotypic variance and predict mortality for some traits.

This study identifies age-related DNA methylation changes in old Swedish twins over 20 years, showing stability across cohorts and genetic influences independent of age.

This study identifies six new Alzheimer's disease-associated loci using GWAS on family history data from UK Biobank and consortium data, with potential implications for precision medicine.