J.H. Fowler's research while affiliated with University of California, San Diego and other places

... While they can efficiently analyze GWAS data, they assume that phenotypic similarity within families is entirely due to their genetic similarity and ignore the effect of shared environment. As a result, they tend to lose power when analyzing data where shared environmental effects explain a substantial proportion of the total phenotypic variation (see McGue et al. (2013) andDe Neve et al. (2013) for example). In contrast, the RFGLS method proposed by Li et al. (2011) takes into account genetic and environmental sources of familial similarity and still provides fast inference through a rapid approximation of the single-SNP mixed effect model. ...

... After the study by Alford, Funk and Hibbing, which gave rise to numerous discussions and controversies both in academia and beyond it, 2 the development of genopolitics accelerated. In the following years, genetic conditions were analysed for: voter preferences and behaviours (Aarøe et al., 2021;Deppe, Stoltenberg, Smith, & Hibbing, 2013;Fowler & Dawes, 2008;Hatemi, Medland, Morley, Heath, & Martin, 2007), partisanship (Dawes & Fowler, 2009), attitudes towards homosexuality and abortion (Eaves & Hatemi, 2008), the transmission of political attitudes in different stages of one's lifetime (Hatemi et al., 2009;Hufer, Kornadt, Kandler, & Riemann, 2020), political and religious beliefs (Ksiazkiewicz & Friesen, 2019;Ludeke, Johnson, & Bouchard, 2013), psychological traits and political attitudes and engagement (Dawes, Settle, Loewen, McGue, & Iacono, 2015;de Vries, Wesseldijk, Karinen, Jern, & Tybur, 2021;Hatemi & Verhulst, 2015;Kleppestø et al., 2019;Weinschenk, Dawes, Klemmensen, & Rasmussen, 2023;Weinschenk, Dawes, Kandler, Bell, & Riemann, 2019), political ideologies and political extremism (Ksiazkiewicz & Krueger, 2017;Ksiazkiewicz, Ludeke, & Krueger, 2016;Verhulst, Eaves, & Hatemi, 2012) and political violence (McDermott, Dawes, Prom-Wormley, Eaves, & Hatemi, 2013;McDermott, Tingley, Cowden, Frazzetto, & Johnson, 2009). 3 Genopolitics is one of many attempts to link social sciences with the biological sciences. ...

... While this study advances our knowledge of the evolution of emotions in social networks, it is important to note that it does not explore the role of social network structures and user characteristics on the results or distinguish the individual vs. collective nature of emotions and disentangle the mechanisms that give rise to them. The structure of networks can influence the diffusion of behaviors and mental states, such as depression 60 , obesity 61 , exercising 62 , and high-risk movements 63 . Future research could examine how social network structures impact the persistence and transformation of emotions such as pride, gratitude, and contentment, which are known to benefit from social support 64 . ...

... These points are significant in the context of obesity because dynamic behaviour over extended timeframes (decades) is identified as a key element in the modelling process [14]. Additionally, our data were collected at the national level, and, thus, we have no specific data on network topography or the incidence of multiplexity. ...