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Scientists in the United Kingdom managed to identify 14 genetic regions, seven of them unknown to date, Which may contain, in part, the wildness to physical activity of men, according to a study published on Monday by the journal Nature Communications.
The research, developed by the Big Data Institute of the Oxford University, tells, for example, the time we sit, sleeping or moving with our genes. The research used the Genome-Wide Association Study method that uses correlation – not cassation – to achieve its conclusions.
The experts programmed a "machine study machine" to distribute sedentary and active lives (and some intermediate levels) in 200 volunteers who took a camera and a two-day wristbands that monitored their activity every 20 seconds.
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Still, They compared the information with the of 91,105 people registered in the BBQ UK database Who wear that same type of bracelet for a week in previous periods.
"How and what we move does not depend only on genes, But understanding the role they play will help us to improve our knowledge of the causes and consequences of physical activity, "said the director of this project, Aiden Doherty, in a statement.
Only through the study of large amounts of data, he said, will be able to decipher the "complex genetic elements" of some of the most basic functions, "such as movement, rest or sleep."
In addition to detecting 14 related genetic regions, seven of them are new, scientists They noticed the first time, Thanks to great data, that "Increased physical activity spontaneously reduces blood pressure"
Also, genetic analysis reveals the existence of a "superposition" among neurodegenerative diseases, mental health and brain structure, which demonstrates the important role of the central nervous system in physical activity and sleep.
Physical inactivity, according to experts, is a threat to global public health, with broad spectrum of diseases with sectarian lifestyle, such as obesity, diabetes or cardiovascular problems. Also, alterations in sleep are associated with heart and metabolic diseases and psychiatric disorders.
The experts of the study emphasized that the use of the "machine of automatic learning" to analyze large amounts of health data is rapidly changing and that the type of studies that can be developed.
"We have designed machine study models to learn how to analyze complex functions such as activity," explains Carl Smith Bern, one of the participants in this work.
"They can help us, for example, to determine whether inactivity is a cause or a consequence of obesity," added Michael Holmes, of the British Heart Foundation from the University of Oxford.
The prosecution age researcher Marcelo Rubinstein, which is dedicated to the study of brain, genes and nature, is critical of this type of studies, because in his view, they leave a casual relationship between genes and physical activity. "There is currently a discussion about the extent that physical activity is linked to obesity, or if there is a causal relationship between the two." It has been demonstrated that the surprised sedentary lifestyle, which in fact is not such, does not contribute to clarifying the phenomenon of obesity, and it can not be shown that physical inactivity is a genetic issue, "said the researcher A professor at the Department of Physiology, Molecular and Cellular Biology at the Faculty of Accurate and Natural Science of the UBA. "Going to look for genetic traces that can explain physical inactivity is a nonsense – emphasizes – is ne Eat genetically conditioned, which is conditioned by someone relating to the environment, a person who, for example, is a nurse will have more physical activity if he works as a telephone operator. "
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