Objective: Suicide is a major public health problem and it has a prominent genetic component. We performed a genome-wide association study (GWAS) of suicidal behaviour severity. Methods: Suicide behaviour severity was assessed within the Schedules for Clinical Assessment in Neuropsychiatry in our mood disorder sample (n = 3506) for the GWAS. We also performed polygenic risk score analyses to explore genetic sharing between suicidal behaviour severity and a number of phenotypes, including bipolar disorder, major depressive disorder, alcoholism, post-traumatic stress disorder, impulsivity, insomnia, educational attainment, loneliness, maltreatment, and amygdala volume. Results: We did not detect genome-wide significant findings at the single-marker or gene level. We report a number of suggestive single-marker and gene-based findings. Our polygenic risk score analyses did not yield significant findings with these phenotypes. Conclusions: Larger sample sizes are required to detect moderate effects.
Titolo: | Genome-wide association study of suicidal behaviour severity in mood disorders | |
Autore/i: | Zai C. C.; Fabbri C.; Hosang G. M.; Zhang R. S.; Koyama E.; de Luca V.; Tiwari A. K.; King N.; Strauss J.; Jones I.; Jones L.; Breen G.; Farmer A. E.; McGuffin P.; Vincent J. B.; Kennedy J. L.; Lewis C. M. | |
Autore/i Unibo: | ||
Anno: | 2021 | |
Rivista: | ||
Digital Object Identifier (DOI): | http://dx.doi.org/10.1080/15622975.2021.1907711 | |
Abstract: | Objective: Suicide is a major public health problem and it has a prominent genetic component. We performed a genome-wide association study (GWAS) of suicidal behaviour severity. Methods: Suicide behaviour severity was assessed within the Schedules for Clinical Assessment in Neuropsychiatry in our mood disorder sample (n = 3506) for the GWAS. We also performed polygenic risk score analyses to explore genetic sharing between suicidal behaviour severity and a number of phenotypes, including bipolar disorder, major depressive disorder, alcoholism, post-traumatic stress disorder, impulsivity, insomnia, educational attainment, loneliness, maltreatment, and amygdala volume. Results: We did not detect genome-wide significant findings at the single-marker or gene level. We report a number of suggestive single-marker and gene-based findings. Our polygenic risk score analyses did not yield significant findings with these phenotypes. Conclusions: Larger sample sizes are required to detect moderate effects. | |
Data stato definitivo: | 2022-02-12T17:39:20Z | |
Appare nelle tipologie: | 1.01 Articolo in rivista |