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9 of October, 10:17

Scientists have learned to predict the orientation of the male DNA
A new method that takes into account epigenetic information from all 9 sites of the human genome, allows to predict the sexual orientation of men with an accuracy of 70 percent.

About the Creator of the opening revealed at the annual Congress of the American society of human genetics, which takes place October 6-10, 2015 in Baltimore.

Scientists worked with DNA methylation - modification of a molecule without the configuration of its nucleotide sequence is the entire length of the genome in pairs of identical twins male. Although the DNA of these twins is identical, different moments of the environment as the life people lead to differences in methylation. Therefore scientists have managed to remove the impact of "clean" genetic differences and to detect the effects of methylation.

Only the researchers conducted DNA analysis of 37 pairs of twins, 1 of whom was a homosexual, and 10 pairs where both twins adhere to traditional sexual orientation. The main objective was a high correlation of features of the DNA methylation study participants. It's also a huge amount of data has hampered the definition of discrepancies, znachimyh for sexual orientation.

The task of scientific workers managed to solve it using the method of machine learning called FuzzyForest. They learned that the distinctive features of methylation in 9 small sites dispersed throughout the genome, can be used to predict sexual orientation with a probability of up to 70 percent.

"As we know, this is the 1st model, able to predict sexual orientation based on molecular markers. Previously, scientists had already identified the vast areas of chromosomes related to sexual orientation. But our approach made it possible to give the precise areas - accurate to individual base pairs," said the Creator of the study So Ngun (Tuck C. Ngun).

To understand how DNA methylation at these sites is associated with sexual orientation-related research. At the moment scientists are testing their method on a more representative sample of men (not twins).

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