Certain genetic processes of neurodegeneration, as seen in dementia, have been identified by a research team led by UCLA scientists. Two major groups of genes which create over-productions of the tau protein, which is integral to loss of neurons seen in major dementia forms, were found using mouse models of dementia, although the researchers performed additional experiments which determined the same processes occur in human brains.
He Jiankui, the Chinese scientist who stunned the world by announcing the birth of two CRISPR-edited twins this week, has claimed that another woman is already pregnant with a separate CRISPR baby.
There is a large genetic component to attention deficit/hyperactivity disorder (ADHD), a study published recently in Nature Genetics has confirmed. The study assessed 20,183 individuals diagnosed with ADHD and 35,191 controls, finding variants in 12 independent loci which all contribute to ADHD.
Despite what was previously thought, some mitochondrial DNA can be inherited from fathers as well as mothers, scientists have found. A study, published recently in PNAS, began when the Cincinnati Children’s Hospital Medical Centre tested a child showing signs of fatigue and muscle pain to see if he had a mitochondrial disorder.
Differential brain responses to speech in toddlers with autism and poor language development associated with widespread gene expression activity in blood leukocyte cells.
Twin girls in China have allegedly been born after having their embryonic genetic code modified using CRISPR. Chinese researcher He Jiankui, from the Southern University of Science and Technology, claims to have turned off a gene called CCR5 to offer total protection against HIV, as well as smallpox and cholera.
Gene discovery could help pave way for development treatment for hearing loss
New technology reveals DNA in neurons is ‘mixed and matched,’ producing thousands of previously unknown gene variations — and identifying a potential near-term treatment for Alzheimer’s disease
Single nucleotide variations could be the key to better identification of tumour subpopulations
Cancer scientists led by principal investigator Dr. Daniel De Carvalho at Princess Margaret Cancer Centre have combined “liquid biopsy,” epigenetic alterations and machine learning to develop a blood test to detect and classify cancer at its earliest stages.
Neural networks and supervised machine learning (ML) techniques can characterise cells studied using single cell RNA-sequencing (scRNA-seq), scientists from Carnegie Mellon University (CMU) have learnt. This could aid others in identifying new cell subtypes and in discerning diseased cells.