Preventing Suicide With Digital Phenotyping and Pharmacogenetics-Based Interventions

The goal of this protocol for an observational retrospective multi-site cohort study is to develop a predictive algorithm for suicidal behavior integrating genetic risk markers, digital phenotypes, and exposomic data in people with a lifetime history of suicide attempt. Participants will be aged from 12 onwards (requiring parental consent if under 18) and only be excluded if they are unable to provide a genetic sample or do not consent to the study. The main question\[s\] it aims to answer is: \- Can genotyping/omics analysis of individuals with a history of suicidal behaviuor reveal potential genetic factors associated with suicide risk? Secondary questions include: 1. Can behavioral factors associated with suicide risk be explored through data obtained from Google Takeout? 2. Is there an association between medication changes and suicidal behavior, as identified through the Unified Prescription Module and the Digital Health Record? 3. Do different suicidal phenotypes differ based on the collected variables? 4. Can the investigators construct an exposome using geolocated and time-stamped data from Google Takeout, combined anonymously with data from the National Statistics and Meteorology Institutes? The investigators hypothesize that: 1. Individuals with a history of suicidal behavior will show significant genotypic differences compared to the general population (based on Spanish Genome Project data). 2. Suicidal phenotypes-especially between single and multiple attempters-will differ across collected variables, including genotype, omics, and exposome data. participants will complete genetic assessments, digital phenotypes, clinical questionnaires and exposomic data