Using systems biology, investigators put cancer risk SNPs in a network context, identifying immune, tumor-related, and other genes influenced by the variants in multiple tissue types.
Using single-cell sequencing and an in vitro culture system, researchers followed transcriptomic and epigenomic features over time in three main embryonic cell lineages.
Researchers focused on candidate genes near expression quantitative trait loci identified by combining cancer susceptibility SNPs and available transcriptomic data.
Using brain samples from individuals with or without multiple sclerosis, researchers detected declining projection neuron levels and related immune cell shifts.
