A large genome-wide association meta-analysis and follow-up analyses revealed eight risk loci involving SNPs previously associated with body traits, metabolism, and psychiatric risk.
Researchers brought together blood transcriptomic, metabolomic, proteomic, and immune cell profiles for dozens of West African and Australasian infants.
Using omics and other data, researchers performed network analyses that pointed to interactions between human herpesviruses and other Alzheimer's disease risk factors.
Through a genome-wide association study, meta-analysis, and systems analysis, researchers saw enhanced common variant distribution in mutation-intolerant genes.
Using pathway and network analyses, researchers identified overlapping genes and biological processes behind smoking and schizophrenia, including new candidate genes.
Participants tried to classify samples based on the epigenomic impact of cigarette smoke cessation and aerosol from modified- or reduced-risk products.
The agency has committed $11 million for the creation of a network of research centers that will use systems biology approaches to build predictive models for infectious diseases.
Called CanPathPro, the research consortium aims to combine omics data and systems biology tools into a single commercial platform for testing cancer hypotheses.
The consortium was launched last year as a network of research centers focused on building predictive models of cancer initiation, progression, and metastasis.
In a column at the Dallas Morning News, the Stanley Medical Research Institute's E. Fuller Torrey says the Human Genome Project hasn't delivered on promised results.
