Category: Scientists, experts, science

Scientists have discovered a gene-predictor of the time of death

U.S. researchers have identified a genetic variation that affects the body clock is so strong that it can specify at what time of the day most likely will come the death of a person.

Study author Andrew Lim Medical Center Beth Israel (USA, Boston) have found that the internal body clock influence on the advance of acute clinical conditions such as stroke or heart attack.

Lim and his colleagues looked for genetic traits that indicate an increased risk of Alzheimer's disease or Parkinson's disease. The study involved about 1.2 thousand people over 65. All of them were always a special bracelet that recorded the change of sleep and wakefulness.

The study took an unexpected turn when scientists decoded the genome of the experiment participants. It turned out that the "larks" — people who are inclined to get up early and go to sleep early, is genetically different from the "owls" — those who tend to sleep longer in the morning and go to bed later in the evening.

Group Lima found a single nucleotide (nitrogenous base, "brick" of the DNA molecule) near genome «Period 1", which is different from "larks" and "owls". Approximately 60% of the people at this point are adenine (A), and 40% — guanine (G).

Since man is the owner of a double set of chromosomes, each of us holds a set of AA, GG or AG.

As it turned out, people with a combination of AA
woke up about an hour before the media combinations GG, and those who had in the genome "record» AG — a half-hour later than the first.

When researchers analyzed the deaths of the experiment participants (many of whom joined him 15 years ago, at the age of 65 years), they found that the same genetic variation may indicate the time of death.

People withAA or AG in genotype died shortly before 11 am, like most people, while the media GG with average died shortly before 6:00 pm.

Lim said that more research is needed to determine the mechanisms linking certain genetic features with the features of the biological clock.

SQL - 6 | 1,248 сек. | 7.75 МБ