Colocalization analysis has emerged as a powerful tool to uncover the overlapping of causal
variants responsible for both molecular and complex disease phenotypes. The findings from …

Background Major depression (MD) is determined by a multitude of factors including genetic
risk variants that regulate gene expression. We examined the genetic component of gene …

Molecular quantitative trait loci (xQTLs) are often harnessed to prioritize genes or functional
elements underpinning variant-trait associations identified from genome-wide association …

Genome-wide association studies (GWAS) are not fully comprehensive, as current strategies
typically test only the additive model, exclude the X chromosome, and use only one …

Complex brain disorders are highly heritable and arise from a complex polygenic risk
architecture. Many disease-associated loci are found in non-coding regions that house …

DNA methylation provides a crucial epigenetic mark linking genetic variations to
environmental influence. We have analyzed array-based DNA methylation profiles of 160 …

Identifying genetic variants that are associated with variation in DNA methylation, an
analysis commonly referred to as methylation quantitative trait locus (meQTL) mapping, is an …

Poor metabolic control and host genetic predisposition are critical for diabetic kidney
disease (DKD) development. The epigenome integrates information from sequence …

Single-cell genomic technologies are revealing the cellular composition, identities and
states in tissues at unprecedented resolution. They have now scaled to the point that it is …

Major depressive disorder (MDD) is a complex and heterogeneous psychiatric syndrome
with genetic and environmental influences. In addition to neuroanatomical and circuit-level …