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449 results on '"Rijsdijk, Frühling"'

2. The Colombo Twin and Singleton Study (COTASS): Piloting the Feasibility of Collecting Nutritional Data and Extension of the Sample to Include Children of Twins

Author

Dissanayake, Lasith, Herath, Binoli, Opatha, Janani, Jabir, Sameeha, Siriwardana, Rajindra, Sirisena, Kavish, Wickramasinghe, Malmi, Wimalasekera, Manouri, Liyanage, Ruvini, Duminda Guruge, G. N., Jayaweera, Kaushalya, Jayawardena, Ranil, Zavos, Helena M. S., Sumathipala, Athula, and Rijsdijk, Frühling

Published
2024
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26. sj-docx-1-jad-10.1177_10870547231159908 – Supplemental material for The Etiological and Predictive Association Between ADHD and Cognitive Performance From Childhood to Young Adulthood

Author

Vainieri, Isabella, Michelini, Giorgia, Cheung, Celeste H. M., Oginni, Olakunle A., Asherson, Philip, Rijsdijk, Frühling, and Kuntsi, Jonna

Subjects
FOS: Psychology, 170199 Psychology not elsewhere classified, Education
Abstract

Supplemental material, sj-docx-1-jad-10.1177_10870547231159908 for The Etiological and Predictive Association Between ADHD and Cognitive Performance From Childhood to Young Adulthood by Isabella Vainieri, Giorgia Michelini, Celeste H. M. Cheung, Olakunle A. Oginni, Philip Asherson, Frühling Rijsdijk and Jonna Kuntsi in Journal of Attention Disorders

Published
2023
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29. Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study

Author

Lim, Kai Xiang, Rijsdijk, Frühling, Hagenaars, Saskia P., Socrates, Adam, Choi, Shing Wan, Coleman, Jonathan R. I., Glanville, Kylie P., Lewis, Cathryn M., and Pingault, Jean-Baptiste

Subjects
Health surveys, Substance abuse -- Genetic aspects -- Risk factors, Marijuana, Schizophrenia -- Risk factors -- Genetic aspects, Mental health, Medical research, Epidemiology, Bipolar disorder -- Risk factors -- Genetic aspects, Genomics -- Genetic aspects, Biological sciences
Abstract

Background Identifying causal risk factors for self-harm is essential to inform preventive interventions. Epidemiological studies have identified risk factors associated with self-harm, but these associations can be subject to confounding. By implementing genetically informed methods to better account for confounding, this study aimed to better identify plausible causal risk factors for self-harm. Methods and findings Using summary statistics from 24 genome-wide association studies (GWASs) comprising 16,067 to 322,154 individuals, polygenic scores (PSs) were generated to index 24 possible individual risk factors for self-harm (i.e., mental health vulnerabilities, substance use, cognitive traits, personality traits, and physical traits) among a subset of UK Biobank participants (N = 125,925, 56.2% female) who completed an online mental health questionnaire in the period from 13 July 2016 to 27 July 2017. In total, 5,520 (4.4%) of these participants reported having self-harmed in their lifetime. In binomial regression models, PSs indexing 6 risk factors (major depressive disorder [MDD], attention deficit/hyperactivity disorder [ADHD], bipolar disorder, schizophrenia, alcohol dependence disorder, and lifetime cannabis use) predicted self-harm, with effect sizes ranging from odds ratio (OR) = 1.05 (95% CI 1.02 to 1.07, q = 0.008) for lifetime cannabis use to OR = 1.20 (95% CI 1.16 to 1.23, q = 1.33 x 10.sup.-35) for MDD. No systematic differences emerged between suicidal and non-suicidal self-harm. To further probe causal relationships, two-sample Mendelian randomisation (MR) analyses were conducted, with MDD, ADHD, and schizophrenia emerging as the most plausible causal risk factors for self-harm. The genetic liabilities for MDD and schizophrenia were associated with self-harm independently of diagnosis and medication. Main limitations include the lack of representativeness of the UK Biobank sample, that self-harm was self-reported, and the limited power of some of the included GWASs, potentially leading to possible type II error. Conclusions In addition to confirming the role of MDD, we demonstrate that ADHD and schizophrenia likely play a role in the aetiology of self-harm using multivariate genetic designs for causal inference. Among the many individual risk factors we simultaneously considered, our findings suggest that systematic detection and treatment of core psychiatric symptoms, including psychotic and impulsivity symptoms, may be beneficial among people at risk for self-harm., Author(s): Kai Xiang Lim 1, Frühling Rijsdijk 1, Saskia P. Hagenaars 1, Adam Socrates 1, Shing Wan Choi 1,2, Jonathan R. I. Coleman 1, Kylie P. Glanville 1, Cathryn M. [...]

Published
2020
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31. The Sri Lankan twin registry: 2012 update

Author

Sumathipala, Athula, Siribaddana, Sisira, Hotopf, Matthew, McGuffin, Peter, Glozier, Nick, Ball, Harriet, Kovas, Yulia, Rijsdijk, Fruhling, Yatawara, Lalani, Pariante, Carmine, Zavos, Helena, Siriwardhana, Chesmal, Pannala, Gayani, Jayaweera, Kaushalya, Adikari, Anushka, and Gunewardane, Dinesha

Published
2013

37. Relationship between CRP and depression: A genetically sensitive study in Sri Lanka

Author

Zavos, Helena M.S., primary, Zunszain, Patricia A., additional, Jayaweera, Kaushalya, additional, Powell, Timothy R., additional, Chatzivasileiadou, Maria, additional, Harber-Aschan, Lisa, additional, Adikari, Anushka, additional, Pannala, Gayani, additional, Siribaddana, Sisira, additional, Badini, Isabella, additional, Pariante, Carmine M., additional, Hotopf, Matthew, additional, Sumathipala, Athula, additional, and Rijsdijk, Frühling, additional

Published
2022
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42. Investigating the genetic and environmental aetiologies of non-suicidal and suicidal self-harm: a twin study.

Author

Lim, Kai Xiang, Krebs, Georgina, Rimfeld, Kaili, Pingault, Jean-Baptiste, and Rijsdijk, Frühling Vesta

Subjects
SUICIDE, STRUCTURAL equation modeling, DESCRIPTIVE statistics, DISEASE prevalence, SELF-mutilation, PHENOTYPES
Abstract

Background: Self-harm is a major health concern, not only as a signal of distress but also as a strong predictor of later suicide. Self-harm can be further refined into suicidal self-harm (SSH, i.e. suicide attempt) and non-suicidal self-harm (NSSH). Understanding the aetiologies of NSSH and SSH can help inform suicide prevention strategies. Using a twin design, we investigated the phenotypic and aetiological relationships between NSSH and SSH, and their aetiological overlap with mental health problems. Methods: We analysed data from the Twins Early Development Study using structural equation modelling. At age 21 years, 9063 twins (62.4% female) answered questions related to self-harm. At age 16 years, 19 self- or parent-reported mental health measures were administered, including measures of internalising and externalising problems, psychotic-like experiences and substance abuse. Results: Prevalences for NSSH and SSH were 21.9% and 10.5%, respectively. Additive genetic factors explained half of the variance in NSSH (55%) and SSH (50%), with the rest explained by non-shared environmental factors. Phenotypically, NSSH and SSH were strongly correlated (r = 0.87) with their correlation explained by genetic (57%) and non-shared environmental (43%) factors. We found no evidence that NSSH and SSH differed in their phenotypic and aetiological relationships with mental health measures. Conclusion: Our findings suggest no aetiological difference between NSSH and SSH. NSSH and SSH should be regarded as two different ends of a continuum, rather than as two distinct categories. [ABSTRACT FROM AUTHOR]

Published
2022
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