Using data for more than 140,000 individuals, researchers narrowed in on 63 new prostate cancer-associated loci and established a polygenic score linked to enhanced risk.
Using genotype and blood plasma protein information for thousands of healthy individuals, researchers documented variants influencing plasma protein levels.
The New York Genome Center spinout has focused on developing imputation algorithms to enable low-coverage whole-genome sequencing for as low as $50 per sample.
At least half a dozen cancer phenotypes showed significant associations with GWAS variant-based polygenic risk scores in a new phenome-wide association study.
MIT and Stanford computer scientists developed a technique for secure, massively scalable genomic analysis that they hope will unleash greater data sharing.
Conducting studies on Latina and African-American women produces population-specific insights on the genetics of the disease that aren't possible to glean in European-heavy GWAS.
Using large-scale GWAS data, researchers saw shared genetic contributors for ALS and frontotemporal dementia, as well as ALS and progressive supranuclear palsy.
Lawmakers have asked four direct-to-consumer genetic testing companies to explain their privacy policies and security measures, according to Stat News.
