Filiptsova O. Population and genetics analysis of behavior traits: Ukraine population research experience

The first in Ukraine population and genetics research was conducted as a result of which behavior genetics analysis methodology was worked out. Distribution indexes of traits, their heritability and associations with demography and biology characteristics were obtained. It was shown, that absolute efficiency of psychogenealogical information collection is 23%, efficiency of psychometrical information collection is 15-84%. Relative efficiency of data collection in females is higher (67%) in comparison with males (33%). Efficiency of relatives pairs collection for genetics analysis purposes is lined as «mother-daughter»> «mother-son»> «father-daughter»> «father-son». Population analysis of 122 behavior traits, related to groups of cognitive (general intelligence IQ), personality (temperament, aggression, communicative/organization abilities, clinically significant traits, motivation behavior), neuropsychological traits (qualitative and quantitative characteristics of sleep and dreams) and preferences (mate, face, food and vocational). Distribution of majority of them does not correspond to Gauss law, but has positive and negative asymmetry and excess. For quantitative traits full statistics is calculated, which include 13 general statistics. Correlation coefficients in behavior traits (0,12-0,56) in majority cases have higher values in sibling pairs in comparison with “parent-offspring” pairs. On 25 behavior traits their was positive assortative mating in the population (correlation coefficients are in the range 0,26-0,52). For 59 behavior traits regression equations are suggested. Heritability coefficients of 70 behavior traits vary in the range 24-100%. 13 quantitative behavior traits were attributed to emergent ones as a result of genetic analysis. Maternal age influenced 15 behavior traits, paternal age effect was determined for 25 traits. Markers in early ontogenesis appeared not to be effective for behavior peculiarities prognosis use. The most informative were unhealthy habits, sleep duration and hobbies scope. Detected associations can be used for selective option of individuals with specific behavior peculiarities in medical and academic institutions and interest groups.