1Background. Multiple individual vulnerabilities and traits are phenotypically associated with 2 suicidal and non-suicidal self-harm. However, associations between these risk factors and 3 self-harm are subject to confounding. We implemented genetically informed methods to 4 better identify individual risk factors for self-harm. 5 6 Methods. Using genotype data and online Mental Health Questionnaire responses in the UK 7Biobank sample (N = 125,925), polygenic risk scores (PRS) were generated to index 24 8 plausible individual risk factors for self-harm in the following domains: mental health 9 vulnerabilities, substance use phenotypes, cognitive traits, personality traits and physical 10 traits. PRS were entered as predictors in binomial regression models to predict self-harm. 11Multinomial regressions were used to model suicidal and non-suicidal self-harm. To further 12 probe the causal nature of these relationships, two-sample Mendelian Randomisation (MR) 13 analyses were conducted for significant risk factors identified in PRS analyses. 14 15 Outcomes. Self-harm was predicted by PRS indexing six individual risk factors, which are 16 major depressive disorder (MDD), attention deficit/hyperactivity disorder (ADHD), bipolar 17 disorder, schizophrenia, alcohol dependence disorder (ALC) and lifetime cannabis use. Effect 18 sizes ranged from β = 0.044 (95% CI: 0·016 to 0·152) for PRS for lifetime cannabis use, to β 19 = 0.179 (95% CI: 0·152 to 0·207) for PRS for MDD. No systematic distinctions emerged 20 between suicidal and non-suicidal self-harm. In follow-up MR analyses, MDD, ADHD and 21 schizophrenia emerged as plausible causal risk factors for self-harm. 22Interpretation. Among a range of potential risk factors leading to self-harm, core predictors 1 were found among psychiatric disorders. In addition to MDD, liabilities for schizophrenia 2 and ADHD increased the risk for self-harm. Detection and treatment of core symptoms of 3 these conditions, such as psychotic or impulsivity symptoms, may benefit self-harming 4 patients. 5 6