Genetic relationships between suicide attempts, suicidal ideation and major psychiatric disorders: A genome-wide association and polygenic scoring study.

Epidemiological studies have recognized a genetic diathesis for suicidal behavior, which is independent of other psychiatric disorders. Genome-wide association studies (GWAS) on suicide attempt (SA) and ideation have failed to identify specific genetic variants. Here, we conduct further GWAS and for the first time, use polygenic score analysis in cohorts of patients with mood disorders, to test for common genetic variants for mood disorders and suicide phenotypes. Genome-wide studies for SA were conducted in the RADIANT and GSK-Munich recurrent depression samples and London Bipolar Affective Disorder Case-Control Study (BACCs) then meta-analysis was performed. A GWAS on suicidal ideation during antidepressant treatment had previously been conducted in the Genome Based Therapeutic Drugs for Depression (GENDEP) study. We derived polygenic scores from each sample and tested their ability to predict SA in the mood disorder cohorts or ideation status in the GENDEP study. Polygenic scores for major depressive disorder, bipolar disorder and schizophrenia from the Psychiatric Genomics Consortium were used to investigate pleiotropy between psychiatric disorders and suicide phenotypes. No significant evidence for association was detected at any SNP in GWAS or meta-analysis. Polygenic scores for major depressive disorder significantly predicted suicidal ideation in the GENDEP pharmacogenetics study and also predicted SA in a combined validation dataset. Polygenic scores for SA showed no predictive ability for suicidal ideation. Polygenic score analysis suggests pleiotropy between psychiatric disorders and suicidal ideation whereas the tendency to act on such thoughts may have a partially independent genetic diathesis. © 2014 Wiley Periodicals, Inc.

Forensic intelligence framework. Part II: study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring

The development of forensic intelligence relies on the expression of suitable models that better represent the contribution of forensic intelligence in relation to the criminal justice system, policing and security. Such models assist in comparing and evaluating methods and new technologies, provide transparency and foster the development of new applications. Interestingly, strong similarities between two separate projects focusing on specific forensic science areas were recently observed. These observations have led to the induction of a general model (Part I) that could guide the use of any forensic science case data in an intelligence perspective. The present article builds upon this general approach by focusing on decisional and organisational issues. The article investigates the comparison process and evaluation system that lay at the heart of the forensic intelligence framework, advocating scientific decision criteria and a structured but flexible and dynamic architecture. These building blocks are crucial and clearly lay within the expertise of forensic scientists. However, it is only part of the problem. Forensic intelligence includes other blocks with their respective interactions, decision points and tensions (e.g. regarding how to guide detection and how to integrate forensic information with other information). Formalising these blocks identifies many questions and potential answers. Addressing these questions is essential for the progress of the discipline. Such a process requires clarifying the role and place of the forensic scientist within the whole process and their relationship to other stakeholders.

Altered structural connectivity in patients with medial temporal lobe epilepsy: A Diffusion Spectrum Imaging and Graph Analysis study

In this study we investigated the effect of medial temporal lobe epilepsy (MTLE) on the global characteristics of brain connectivity estimated by topological measures. We used DSI (Diffusion Spectrum Imaging) to construct a connectivity matrix where the nodes represents the anatomical ROIs and the edges are the connections between any pair of ROIs weighted by the mean GFA/FA values. A significant difference was found between the patient group vs control group in characteristic path length, clustering coefficient and small-worldness. This suggests that the MTLE network is less efficient compared to the network of the control group.

Impact of infection on the prognosis of critically ill cirrhotic patients: results from a large worldwide study.

BACKGROUND: Infections are a leading cause of death in patients with advanced cirrhosis, but there are relatively few data on the epidemiology of infection in intensive care unit (ICU) patients with cirrhosis. AIMS: We used data from the Extended Prevalence of Infection in Intensive Care (EPIC) II 1-day point-prevalence study to better define the characteristics of infection in these patients. METHODS: We compared characteristics, including occurrence and types of infections in non-cirrhotic and cirrhotic patients who had not undergone liver transplantation. RESULTS: The EPIC II database includes 13,796 adult patients from 1265 ICUs: 410 of the patients had cirrhosis. The prevalence of infection was higher in cirrhotic than in non-cirrhotic patients (59 vs. 51%, P < 0.01). The lungs were the most common site of infection in all patients, but abdominal infections were more common in cirrhotic than in non-cirrhotic patients (30 vs. 19%, P < 0.01). Infected cirrhotic patients more often had Gram-positive (56 vs. 47%, P < 0.05) isolates than did infected non-cirrhotic patients. Methicillin-resistant Staphylococcus aureus (MRSA) was more frequent in cirrhotic patients. The hospital mortality rate of cirrhotic patients was 42%, compared to 24% in the non-cirrhotic population (P < 0.001). Severe sepsis and septic shock were associated with higher in-hospital mortality rates in cirrhotic than in non-cirrhotic patients (41% and 71% vs. 30% and 49%, respectively, P < 0.05). CONCLUSIONS: Infection is more common in cirrhotic than in non-cirrhotic ICU patients and more commonly caused by Gram-positive organisms, including MRSA. Infection in patients with cirrhosis was associated with higher mortality rates than in non-cirrhotic patients.