Topic List : Genetics
Uncovering the evolution of echolocation
Evolutionary adaptations like echolocation that are shared by unrelated species arose in part due to identical, independently acquired genetic changes, according to a new Stanford study of whole genome sequences.
Jennifer Doudna to discuss CRISPR
Jennifer Doudna, who pioneered the gene-editing technology known as CRISPR-Cas9, will come to Stanford to discuss the ethics and future applications of the tool.
Mildred Cho to co-lead new biomedical ethics hub
The new center, funded by a $7.1 million award from the National Human Genome Research Institute, will collect and share research on the ethical, legal and social implications of genomics.
Dennis Wall on new discoveries in autism genetics
Wall discusses how he and his collaborators used whole-genome data from hundreds of families affected by autism to identify 16 new autism risk genes and a rare genetic syndrome that explains some cases of the disorder.
Genetics of protein aggregates in ALS
Stanford researchers identified a gene crucial to the formation of toxic proteins in amyotrophic lateral sclerosis and showed how it could inform potential therapies for the disease.
Immune cells speed aging brains’ demise
Stanford researchers have found intrusive immune cells in a place in the brains of humans and older mice where new nerve cells are born. The intruders appear to impair nerve cell generation.
Gene networks and heart failure
A Stanford-led research team has mapped out a network of gene activity before and after heart failure to better understand how heart health declines.
Increasing diversity in genome studies
Data scientist Genevieve Wojcik speaks about the lack of diversity in genomewide association studies, why it’s a problem and how increasing diversity in these studies can elevate the entire population.
Using RNA for rare-disease diagnosis
Geneticist Stephen Montgomery explains why the transcriptome, the collection of RNA molecules in a cell, is a crucial piece of deciphering the source of rare diseases.
Revealing health through big data
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease, a Stanford-led study reports.