Keck-led consortium finds gene changes that affect brain size
News Jan 22, 2015
An international, collaborative study of the brain, led by researchers from the Keck School of Medicine of USC, has found eight common genetic mutations that seem to age the brain an average of three years – and result in smaller brains.
“Any change in those genes appears to alter your mental bank account or brain reserve by 2 or 3 percent,” said Paul Thompson, Keck School of Medicine of USC professor and principal investigator of the Enhancing Neuro Imaging Genetics Through Meta Analysis network, or ENIGMA.
The team of some 300 scientists at 190 global institutions pooled brain scans and genetic data from people in 33 countries.
“This crowdsourcing and sheer wealth of data gives us the power to crack the brain’s genetic code,” Thompson said. The work could lead to targeted therapies and interventions for Alzheimer’s disease, autism and other neurological conditions.
The research – the first high-profile study since the National Institutes of Health launched its Big Data to Knowledge Centers of Excellence last year – was published Jan. 21 in the peer-reviewed Nature.
Most likely to benefit
Using MRIs of more than 30,000 people, the researchers looked for genetic differences affecting the size of key parts of the brain that coordinate movement, learning, memory and motivation.
The group found eight genetic variants associated with reduced brain size, several in over one-fifth of the world’s population. Some of the genes are implicated in cancer and mental illness.
The next step is to investigate whether the genes, besides influencing brain size, also cause disease or reduced mental function.
Investing in big data
In October, the NIH invested nearly $32 million in its Big Data initiative, creating 12 research hubs across the United States to improve the utility of biomedical data. USC’s two Big Data to Knowledge Centers of Excellence, including ENIGMA, were awarded a total of $23 million over four years.
“The ENIGMA Center’s work uses vast data sets as engines of biomedical discovery; it shows how each individual’s genetic blueprint shapes the human brain,” said Philip Bourne, NIH associate director for data science.
USC co-authors included Derrek Hibar, Neda Jahanshad and Arthur Toga. ENIGMA was supported in part by a consortium grant from the NIH Big Data to Knowledge Initiative, supported by a cross-NIH partnership, and by public and private agencies worldwide.
Note: Material may have been edited for length and content. For further information, please contact the cited source.
Derrek P. Hibar, Jason L. Stein, Miguel E. Renteria, Alejandro Arias-Vasquez, et al. Common genetic variants influence human subcortical brain structures. Nature, Published Online January 21 2015. doi: 10.1038/nature14101
Researchers Find a Way to Separate Side Effects of Opioid Drugs Reducing RiskNews
Scientists have discovered a way to separate these two effects -- pain relief and breathing, opening a window of opportunity to make effective pain medications without the risk of respiratory failure.READ MORE
Biological Mechanism of a Leading Cause of Childhood Blindness RevealedNews
Scientists have revealed the pathology of cells and structures stricken by optic nerve hypoplasia, a leading cause of childhood blindness in developed nations.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE