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常见和罕见基因变异对英国生物银行中不同情绪和焦虑症测量指标的贡献。

Contributions of common and rare genetic variation to different measures of mood and anxiety disorder in the UK Biobank.

作者信息

Katzourou Ioanna K, Barroso Inês, Benger Lauren, Ingason Andrés, Stow Daniel, Tsang Ruby, Wood Megan, Kirov George, Walters James, Owen Michael J, Holmans Peter, van den Bree Marianne B M

机构信息

Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.

Medical School, University of Exeter, Exeter, UK.

出版信息

BJPsych Open. 2025 May 9;11(3):e97. doi: 10.1192/bjo.2025.43.

Abstract

BACKGROUND

Mood and anxiety disorders co-occur and share symptoms, treatments and genetic risk, but it is unclear whether combining them into a single phenotype would better capture genetic variation. The contribution of common genetic variation to these disorders has been investigated using a range of measures; however, the differences in their ability to capture variation remain unclear, while the impact of rare variation is mostly unexplored.

AIMS

We aimed to explore the contributions of common genetic variation and copy number variations associated with risk of psychiatric morbidity (P-CNVs) to different measures of internalising disorders.

METHOD

We investigated eight definitions of mood and anxiety disorder, and a combined internalising disorder, derived from self-report questionnaires, diagnostic assessments and electronic healthcare records (EHRs). Association of these definitions with polygenic risk scores (PRSs) of major depressive disorder and anxiety disorder, as well as presence of a P-CNV, was assessed.

RESULTS

The effect sizes of both PRSs and P-CNVs were similar for mood and anxiety disorder. Compared to mood and anxiety disorder, internalising disorder resulted in higher prediction accuracy for PRSs, and increased significance of associations with P-CNVs for most definitions. Comparison across the eight definitions showed that PRSs had higher prediction accuracy and effect sizes for stricter definitions, whereas P-CNVs were more strongly associated with EHR- and self-report-based definitions.

CONCLUSIONS

Future studies may benefit from using a combined internalising disorder phenotype, and may need to consider that different phenotype definitions may be more informative depending on whether common or rare variation is studied.

摘要

背景

情绪障碍和焦虑障碍常同时出现,且症状、治疗方法和遗传风险存在重叠,但尚不清楚将它们合并为单一表型是否能更好地捕捉遗传变异。人们已使用一系列指标研究了常见遗传变异对这些疾病的影响;然而,它们捕捉变异能力的差异仍不明确,而罕见变异的影响大多未被探索。

目的

我们旨在探讨与精神疾病发病风险相关的常见遗传变异和拷贝数变异(P - CNV)对内化障碍不同指标的影响。

方法

我们研究了从自我报告问卷、诊断评估和电子健康记录(EHR)中得出的八种情绪和焦虑障碍定义,以及一种合并的内化障碍定义。评估了这些定义与重度抑郁症和焦虑症的多基因风险评分(PRS)以及P - CNV的存在之间的关联。

结果

PRS和P - CNV对情绪障碍和焦虑障碍的效应大小相似。与情绪障碍和焦虑障碍相比,内化障碍使PRS的预测准确性更高,并且对于大多数定义,与P - CNV的关联显著性增加。对八种定义的比较表明,对于更严格的定义,PRS具有更高的预测准确性和效应大小,而P - CNV与基于EHR和自我报告的定义相关性更强。

结论

未来的研究可能会受益于使用合并的内化障碍表型,并且可能需要考虑根据研究的是常见变异还是罕见变异,不同的表型定义可能提供更多信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f156/12089803/c4ea59acad06/S2056472425000432_fig1.jpg

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