Feasibility of Linking Molecular Genetic Markers to Real-World Social Network Size Tracked on Smartphones

• Main Authors: Rayna Sariyska, Eva-Maria Rathner, Harald Baumeister, Christian Montag
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2018-12-01
• Series: Frontiers in Neuroscience
• Subjects: Personality Neuroscience; molecular genetics; oxytocin; oxytocin genetics; extraversion; smartphones
• Online Access: https://www.frontiersin.org/article/10.3389/fnins.2018.00945/full

The study of individual differences in human social behavior has a long tradition in (personality) psychology focusing on traits such as extraversion linked to vividness and assertiveness. The study of molecular genetic underpinnings of individual differences in social behavior produced many genetic association studies with only few genetic variants, robustly associated with individual differences in personality. One possible reason for non-replication of findings might be the different inventories used to assess human social traits. Moreover, self-report methods to assess personality and social behavior might be problematic due to their susceptibility to different biases such as social desirability or poor abilities in self-reflection. We stress the importance of including recorded behavior to understand the molecular genetic basis of individual differences in personality and linked social traits. We present preliminary data linking oxytocin genetics to individual differences in social network size derived from smartphones. Here, the genetic variation rs2268498, located in the adjacent area of the promoter of the gene coding for the oxytocin receptor (OXTR), was linked to the number of active contacts and incoming calls, tracked on the smartphone for 12 days (note that these results became a bit weaker when age was controlled for). Although the present empirical findings should only be seen as a proof of concept study, this work demonstrates the feasibility to combine molecular genetic variables with real world behavior. If this approach keeps its promises, the field of personality research might experience a boost in psychometric quality in the near future.