Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Background Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. Methods We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. Results Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. Conclusions Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Peer reviewe

An evaluation of space time cube representation of spatiotemporal patterns.

Space time cube representation is an information visualization technique where spatiotemporal data points are mapped into a cube. Information visualization researchers have previously argued that space time cube representation is beneficial in revealing complex spatiotemporal patterns in a data set to users. The argument is based on the fact that both time and spatial information are displayed simultaneously to users, an effect difficult to achieve in other representations. However, to our knowledge the actual usefulness of space time cube representation in conveying complex spatiotemporal patterns to users has not been empirically validated. To fill this gap, we report on a between-subjects experiment comparing novice users' error rates and response times when answering a set of questions using either space time cube or a baseline 2D representation. For some simple questions, the error rates were lower when using the baseline representation. For complex questions where the participants needed an overall understanding of the spatiotemporal structure of the data set, the space time cube representation resulted in on average twice as fast response times with no difference in error rates compared to the baseline. These results provide an empirical foundation for the hypothesis that space time cube representation benefits users analyzing complex spatiotemporal patterns

Sonolência excessiva diurna na população geral de um município brasileiro Excessive daytime sleepiness in the general population of Brazilian city

OBJETIVO: Buscou-se avaliar a prevalência da sonolência excessiva diurna (SED) na população geral de um município brasileiro. MÉTODO: Foram feitas 198 entrevistas domiciliares entre os adultos, em amostra representativa da população geral de Ribeirão do Largo, BA. A amostragem foi aleatória simples. Tinham SED as pessoas com 11 ou mais pontos na Escala de Sonolência de Epworth (ESE). Usaram-se os testes de qui-quadrado, Fisher e ANOVA; nível de significância 5%. RESULTADOS: Tinham SED 21,5% da população (DP = 2,9%; IC 15,8% a 27,2%); não houve associação significativa entre SED e idade (p = 0,924), nem IMC (p = 0,197), sexo (p = 0,095), instrução (p = 0,700), estado civil (p = 0,414) e uso de hipnóticos (p = 0,176). Houve associação com o despertar precoce (p = 0,046). CONCLUSÃO: Foi alta a prevalência de SED na população estudada.<br>OBJECTIVE: To assess the prevalence of excessive daytime sleepiness (ESD) in general population of a Brazilian city. METHODS: It was determined by means of 198 home interviews of adults, in a representative sample of Ribeirão do Largo city, Brazil. The random sample was simple. ESD was considered in those with index 11 or more in the Epworth Sleepiness Scale (ESS). Statistics used chi-square, Fisher and ANOVA; the significance level was 5%. RESULTS: The prevalence of ESD was 21.5% of population (SD = 2.9%; CI 15.8%-27.2%). No significant association was found between ESD and age (p=0.924), nor with body mass index (p=0.197), sex (p=0.095), schooling (p=0,700), marital status (p=0.414) and the use of hypnotics (p=0.176). There was significant association with early awakening (p=0.046). CONCLUSION: There was a high prevalence of ESD in the population