酒精和睡眠相关特征之间的关系:多基因风险评分和门德尔随机化分析的结果
Subhajit Chakravorty1, Rachel L Kember1, Diego R Mazzotti2
1Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA; Perelman School of Medicine, Philadelphia, PA 19104, USA.
Drug and alcohol dependence
|August 17, 2023
概括
对失眠的遗传倾向和睡眠时间缩短增加了酒精使用障碍 (AUD) 的风险. 睡眠异常对AUD发育有因果影响,突出显示睡眠与酒精消费之间存在重大联系.
科学领域:
- 遗传学 是一个遗传学.
- 睡眠医学 睡眠医学
- 精神病学是一个精神病学.
背景情况:
- 失眠和睡眠时间异常很普遍,并与各种健康状况有关.
- 酒精使用障碍 (AUD) 构成了重大的公共卫生挑战.
- 了解睡眠和酒精使用之间的相互作用对于开发有效干预措施至关重要.
研究的目的:
- 调查失眠遗传风险和睡眠时间与AUD和酒精消费之间的关联.
- 用门德尔随机化评估睡眠特征和与酒精有关的疾病之间的因果关系.
- 探索睡眠障碍的遗传风险与AUD之间的性效应.
主要方法:
- 利用来自百万退伍军人计划的个体级表型和基因型数据.
- 来自大型全基因组关联研究 (GWAS) 的失眠和睡眠时间的计算多基因风险评分 (PRS).
- 进行双向双样本的门德尔随机化 (MR) 分析,以评估因果关系.
主要成果:
- 失眠PRS与AUD积极相关,与酒精消费负相关 (AUDIT-C).
- 睡眠时间较短的PRS与酒精消费有积极的关联 (AUDIT-C).
- 核磁共振分析证实了失眠对AUD和睡眠时间缩短对AUD风险的因果关系,失眠的异质性显著.
结论:
- 不眠症的遗传风险是 AUD 的 pleiotropic.
- 睡眠连续性的异常因果关系地影响了AUD的发展.
- 这些发现强调了在AUD预防和治疗策略中解决睡眠障碍的重要性.
相关概念视频
Substance Use Disorders Affecting Sleep
196
Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
Understanding the concepts of physical dependence,...
196
Insufficient Sleep and Sleep Deprivation
171
Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
Sleep deprivation is a more severe form of sleep loss...
171
Human Genetics
611
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
The complex relationship between genetics and psychology is observable through common biological components such...
611
Genome-wide Association Studies-GWAS
13.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.6K
Polygenic Traits
66.0K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
66.0K
Correlations
33.1K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
33.1K


