IBM and the Broad Institute will codevelop algorithms to apply artificial intelligence to predict cardiovascular risk from genomic and clinical data.
Medical diagnostic company CardioDx is closing down, according to the San Francisco Chronicle.
Researchers used exome data for more than 123,000 individuals to map "constrained coding regions," where disease-related variants are over-represented.
The 9p21.3 locus influences the expression of other genes, and affects cell adhesion and contractile force of vascular smooth muscle cells.
GWAS summary statistics data led to three main loci with ties to both Alzheimer's and cardiovascular disease, with additional enrichment at lipid-related sites.
In the Finnish GeneRisk study, patients at high risk for heart disease were especially motivated to take action if their polygenic risk score was high.
The phenome-wide association study focused on SNPs near potential drug target sites with ties to one or more phenotypes that might impact target suitability.
Genetic and phenotypic data for Million Veteran Program participants led to loss-of-function changes in a gene inhibited by cilostazol.
Researchers found that when combined into a risk score, heart disease loci identified in the general population were also associated with heart disease in type 2 diabetes.
Using SNP profiles, gut microbe metagenomics, and other data, researchers identified host and microbe factors influencing circulating levels of CVD markers.
NPR reports that researchers in Italy are testing a gene drive aimed at controlling mosquito populations.
Researchers may experience the effects of the government shutdown for a while, the Los Angeles Times reports.
A new study finds that the majority of patients at a Tijuana clinic received a diagnosis after first-line genome sequencing, the San Diego Union-Tribune reports.
In Genome Biology this week: post-transcriptional modification-based stratification of glioblastoma, single-cell analysis of gene expression and methylation in human iPSCs, and more.