Genome-wide association study of antisocial personality disorder

The pathophysiology of antisocial personality disorder (ASPD) remains unclear. Although the most consistent biological finding is reduced grey matter volume in the frontal cortex, about 50% of the total liability to developing ASPD has been attributed to genetic factors. The contributing genes remain largely unknown. Therefore, we sought to study the genetic background of ASPD. We conducted a genome-wide association study (GWAS) and a replication analysis of Finnish criminal offenders fulfilling DSM-IV criteria for ASPD (N = 370, N = 5850 for controls, GWAS; N = 173, N = 3766 for controls and replication sample). The GWAS resulted in suggestive associations of two clusters of single-nucleotide polymorphisms at 6p21.2 and at 6p21.32 at the human leukocyte antigen (HLA) region. Imputation of HLA alleles revealed an independent association with DRB1*01:01 (odds ratio (OR) = 2.19 (1.53-3.14), P = 1.9 x 10(-5)). Two polymorphisms at 6p21.2 LINC00951-LRFN2 gene region were replicated in a separate data set, and rs4714329 reached genome-wide significance (OR = 1.59 (1.37-1.85), P = 1.6 x 10(-9)) in the meta-analysis. The risk allele also associated with antisocial features in the general population conditioned for severe problems in childhood family (beta = 0.68, P = 0.012). Functional analysis in brain tissue in open access GTEx and Braineac databases revealed eQTL associations of rs4714329 with LINC00951 and LRFN2 in cerebellum. In humans, LINC00951 and LRFN2 are both expressed in the brain, especially in the frontal cortex, which is intriguing considering the role of the frontal cortex in behavior and the neuroanatomical findings of reduced gray matter volume in ASPD. To our knowledge, this is the first study showing genome-wide significant and replicable findings on genetic variants associated with any personality disorder.Peer reviewe

Being Fred: Big stories, small stories and the accomplishment of a positive ageing identity

This article is informed by recent trends in narrative research that focus on the meaning-making actions of those involved in describing the life course. Drawing upon data generated during a series of interactive interviews with a 70-year-old physically active man named Fred, his story is presented to illustrate a strategic model of narrative activity. In particular, using the concepts of ‘big stories’ and ‘small stories’ as an analytical framework, we trace Fred’s use of two specific identities; being fit and healthy, and being leisurely to analyse the ways that he accomplishes an ontological narrative where the plot line reads; ‘Life is what you make it’. The ways in which this narrative enables Fred to perform a narrative of positive self-ageing in his everyday life is illustrated. Finally, the analytical possibilities of being attentive to both big and small stories in narrative analysis are discussed