A recent study by Colorado University of Boulder was standing out in earlier studies which said it had genetic links to depression. The study confirmed that the scientific community should stop what is known as “bargains of applicant candidates” which open the hope of identifying people in danger of mental disorder. T and developing effective drugs for treatment.
By examining the genetic data of 620,000 people, the researchers concluded that the 18 genres that are candidates for assimilation are not more important than the random genres.
“This study confirms that efforts to find a single gene or species of species that agrees to depression have failed,” said Richard Porter, a student and graduate graduate of the Institute of Conduct Genetics.
"We don't say there is no genetic dilemma, but what we say is that many different differences affect depression, and that little one doesn't have influence," said Matthew. Keller, associate professor of psychology and neurocience.
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The researchers looked at 18 genes that appeared at least 10 times in checks aimed at depression, including a gene called SLC6A4 involved in the movement of neurotransmitter serotonin.
Previous studies that have taken place over 20 years ago suggest that people with a "short" version of this gene are at serious risk of depression, particularly when they are receiving t influence on early trauma.
Using genetic data and survey data collected from people across the UK, researchers began to understand whether a variable in gene or gene was associated with an individual mass or when it was combined. to an environmental characteristic such as childhood trauma or social and economic diversity.
In the new study, the most comprehensive and comprehensive study to date in the history of candidate genes for decline, the researchers found that these genes do not relate to depression more than any.
These results do not mean that research into the genetic depression base should be depressed, but rather that we need to recognize that genetic design is reducing more complex than previously thought.
By understanding thousands of genes associated with the disease and what they do, researchers can finally find more accurate results for risk prediction and possibly develop drugs. designed to block the risk, the researchers said.
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