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An international research team led by scientists in the Center for Genetic Epidemiology at the Keck School of Medicine of USC and USC Norris Comprehensive Cancer Center has singled out mutations in 11 genes that are associated with aggressive forms of prostate cancer.

These findings come from the largest-scale prostate cancer study ever exploring the exome—that is, the key sections of the genetic code that contain the instructions to make proteins. The scientists analyzed samples from about 17,500 prostate cancer patients.

Today, oncologists customize care for certain individuals with aggressive prostate cancer with help from genetic tests. The results can inform treatment, as one class of targeted therapies has proved effective against some inherited prostate cancers. Test findings also can lead to genetic screening among patients’ family members, so they have the chance to take measures that reduce risk and to work with their doctors to be more vigilant in early detection.

A team of scientists led by researchers from the University of Leicester has determined that genes responsible for learning, memory, aggression, and other complex behaviors emerged approximately 650 million years ago.

The research spearheaded by Dr. Roberto Feuda, of the Neurogenetic group within the Department of Genetics and Genome Biology, in collaboration with colleagues from the University of Leicester and the University of Fribourg (Switzerland), has recently been published in the journal Nature Communications.

<em>Nature Communications</em> is a peer-reviewed, open-access, multidisciplinary, scientific journal published by Nature Portfolio. It covers the natural sciences, including physics, biology, chemistry, medicine, and earth sciences. It began publishing in 2010 and has editorial offices in London, Berlin, New York City, and Shanghai.

Spider silk is spun by silkworms for the first time, offering a green alternative to synthetic fibers.

DeepMind has released a catalog of 71 million possible variants that can cause diseases.

Genetic mutations are changes to our DNA sequence. This happens when cells make copies of themselves during cell division. Mutation is the ultimate source of human genetic variation and has evolutionary and disease genetics implications. A mutation affecting our genes might give birth to a genetic disorder. But just because you have a mutation doesn’t mean it will be a genetic disorder.

That is why researchers at DeepMind, the artificial intelligence arm of Google, have announced that they have trained a machine learning model called AlphaMissense to classify which DNA variations in our genomes are likely to cause disease.

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There is powerful science behind how our beliefs inform our genetic expression. It’s not our genes alone that dictate our health outcomes, rather it’s the biology of belief that determines our destiny.

Continue reading “How Our GENES Listen To Our Beliefs: Heal The Body & Prevent Disease | Dr. Bruce Lipton” »

Fresh from solving the protein structure challenge, Google’s deep-learning outfit is moving on to the human genome.

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Scientists established an epigenetic mouse model for glioma, providing insight into how epigenetics can initiate cancer.

Studying genes in families with a propensity for certain diseases has led to many critical advances in medicine, including the discovery of statins in family members who suffered heart attacks at an early age.

Now, a team of researchers at Case Western Reserve University has identified an inherited mutation in a gene linked to a highly lethal cancer called esophageal adenocarcinoma (EAC).

“With this discovery, we will be able to identify early those at a high risk of developing EAC in their lifetime, and accordingly tailor screening, lifestyle and treatment strategies to prevent cancer development,” said Kishore Guda, an associate professor at the Case Western Reserve School of Medicine and member of the Case Comprehensive Cancer Center.