Yanchun Bao

HiCPotts is an R/Bioconductor package that identifies significant chromatin interactions in Hi-C data while modeling biases using a zero-inflated Negative Binomial distribution.

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

This study identifies epigenetic markers associated with night shift work, showing links to BMI, education, smoking, and accelerated biological aging.

ZipHiC identifies enriched interactions and experimental biases in Hi-C data using a Bayesian framework with hidden Markov random field and approximate Bayesian computation.

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

The paper identifies mQTLs and pleiotropic associations between DNAm, gene expression, and complex traits using SMR and a large UK cohort.

The paper examines the properties of the Horvath epigenetic clock in older individuals and finds age acceleration measures are age-dependent and may lead to misleading associations with diseases like Alzheimer's.

The paper identifies 63 genetic signals associated with well-being traits using genome-wide analyses and links them to gene expression and methylation in brain tissues.