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New tools used to identify childhood cancer genes

Using a new computational strategy, researchers at UT Southwestern Medical Center have identified 29 genetic changes that can contribute to rhabdomyosarcoma, an aggressive childhood cancer. The group used Bayesian analysis, a method for statistical inference, in conjunction with screening using CRISPR/Cas9, the much-heralded gene-editing tool, to confirm the statistical predictions.

Altering songbird brain signaling provides insight into human behavior

A study from UT Southwestern’s Peter O’Donnell Jr. Brain Institute demonstrates that a bird’s song can be altered – to the syllable – by activating and deactivating a neuronal pathway responsible for helping the brain determine whether a vocalization is performed correctly. Previous research has shown that when a song is performed without perceived error, certain neurons release dopamine to brain areas involved in motor control. The new study shows that by activating and suppressing these neurons, scientists can prompt the birds to change specific syllables in future performances.

Polygenic Risk Score May Identify Alzheimer’s Risk in Younger Populations

Early identification may lead to early, more effective treatment

For the first time, an international team of scientists, led by researchers at University of California San Diego School of Medicine, have determined that an Alzheimer’s disease (AD) polygenic risk score can be used to correctly identify adults with mild cognitive impairment (MCI) who were only in their 50s. MCI is considered a precursor to AD.

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