• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一项大麻使用障碍的大规模全基因组关联研究荟萃分析。

A large-scale genome-wide association study meta-analysis of cannabis use disorder.

机构信息

Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.

Department of Biomedicine-Human Genetics and Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark.

出版信息

Lancet Psychiatry. 2020 Dec;7(12):1032-1045. doi: 10.1016/S2215-0366(20)30339-4. Epub 2020 Oct 20.

DOI:10.1016/S2215-0366(20)30339-4
PMID:33096046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7674631/
Abstract

BACKGROUND

Variation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder.

METHODS

To conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the genetic overlap between cannabis use disorder and 22 traits of interest (chosen because of previously published phenotypic correlations [eg, psychiatric disorders] or hypothesised associations [eg, chronotype] with cannabis use disorder), we used linkage disequilibrium score regression to calculate genetic correlations.

FINDINGS

We identified two genome-wide significant loci: a novel chromosome 7 locus (FOXP2, lead single-nucleotide polymorphism [SNP] rs7783012; odds ratio [OR] 1·11, 95% CI 1·07-1·15, p=1·84 × 10) and the previously identified chromosome 8 locus (near CHRNA2 and EPHX2, lead SNP rs4732724; OR 0·89, 95% CI 0·86-0·93, p=6·46 × 10). Cannabis use disorder and cannabis use were genetically correlated (r 0·50, p=1·50 × 10), but they showed significantly different genetic correlations with 12 of the 22 traits we tested, suggesting at least partially different genetic underpinnings of cannabis use and cannabis use disorder. Cannabis use disorder was positively genetically correlated with other psychopathology, including ADHD, major depression, and schizophrenia.

INTERPRETATION

These findings support the theory that cannabis use disorder has shared genetic liability with other psychopathology, and there is a distinction between genetic liability to cannabis use and cannabis use disorder.

FUNDING

National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institute on Drug Abuse; Center for Genomics and Personalized Medicine and the Centre for Integrative Sequencing; The European Commission, Horizon 2020; National Institute of Child Health and Human Development; Health Research Council of New Zealand; National Institute on Aging; Wellcome Trust Case Control Consortium; UK Research and Innovation Medical Research Council (UKRI MRC); The Brain & Behavior Research Foundation; National Institute on Deafness and Other Communication Disorders; Substance Abuse and Mental Health Services Administration (SAMHSA); National Institute of Biomedical Imaging and Bioengineering; National Health and Medical Research Council (NHMRC) Australia; Tobacco-Related Disease Research Program of the University of California; Families for Borderline Personality Disorder Research (Beth and Rob Elliott) 2018 NARSAD Young Investigator Grant; The National Child Health Research Foundation (Cure Kids); The Canterbury Medical Research Foundation; The New Zealand Lottery Grants Board; The University of Otago; The Carney Centre for Pharmacogenomics; The James Hume Bequest Fund; National Institutes of Health: Genes, Environment and Health Initiative; National Institutes of Health; National Cancer Institute; The William T Grant Foundation; Australian Research Council; The Virginia Tobacco Settlement Foundation; The VISN 1 and VISN 4 Mental Illness Research, Education, and Clinical Centers of the US Department of Veterans Affairs; The 5th Framework Programme (FP-5) GenomEUtwin Project; The Lundbeck Foundation; NIH-funded Shared Instrumentation Grant S10RR025141; Clinical Translational Sciences Award grants; National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences.

摘要

背景

大麻使用障碍的易感性具有很强的遗传成分(双胞胎和家庭遗传度约为 50-70%),与负面结果相关,包括精神病理学风险增加。本研究的目的是进行大规模全基因组关联研究(GWAS),以确定与大麻使用障碍相关的新遗传变异。

方法

为了进行这项大麻使用障碍的 GWAS 荟萃分析,并确定与遗传位点的关联,我们使用了来自精神药理学基因组学联盟物质使用障碍工作组、iPSYCH 和 deCODE 的样本(总共 20916 例病例样本,363116 例对照样本),将大麻使用障碍病例与对照进行对比。为了研究大麻使用障碍与 22 个感兴趣的特征(选择这些特征是因为先前发表的表型相关性[例如,精神障碍]或假设的与大麻使用障碍的关联[例如,睡眠类型])之间的遗传重叠,我们使用连锁不平衡得分回归计算遗传相关性。

结果

我们确定了两个全基因组显著的位点:一个新的 7 号染色体位点(FOXP2,主要单核苷酸多态性[SNP]rs7783012;优势比[OR]1.11,95%置信区间[CI]1.07-1.15,p=1.84×10)和先前确定的 8 号染色体位点(靠近 CHRNA2 和 EPHX2,主要 SNP rs4732724;OR 0.89,95%CI 0.86-0.93,p=6.46×10)。大麻使用障碍和大麻使用具有遗传相关性(r=0.50,p=1.50×10),但它们与我们测试的 22 个特征中的 12 个具有显著不同的遗传相关性,这表明大麻使用和大麻使用障碍至少具有部分不同的遗传基础。大麻使用障碍与其他精神病理学呈正相关,包括 ADHD、重度抑郁症和精神分裂症。

结论

这些发现支持大麻使用障碍与其他精神病理学具有共同遗传易感性的理论,并且大麻使用与大麻使用障碍之间存在遗传易感性的区别。

资助

美国国立卫生研究院;美国国家酒精滥用和酒精中毒研究所;美国国家药物滥用研究所;基因组学和个性化医学与整合测序中心;欧盟地平线 2020 计划;美国国家儿童健康与人类发育研究所;新西兰健康研究理事会;美国国家老龄化研究所;英国惠康信托基金会病例对照研究联盟;英国研究与创新部医学研究理事会(英国研究与创新部);大脑与行为研究基金会;美国国立耳聋和其他交流障碍研究所;物质滥用和心理健康服务管理局;美国国立生物医学成像和生物工程研究所;澳大利亚国家健康与医学研究理事会;加州大学与边缘型人格障碍相关的疾病研究计划 2018 年 NARSAD 青年研究员赠款;全国儿童健康研究基金会(治愈儿童);坎特伯雷医学研究基金会;新西兰彩票委员会;奥塔哥大学;Carney 基因组学中心;詹姆斯·休姆遗赠基金;美国国立卫生研究院:基因、环境与健康倡议;美国国立卫生研究院;美国国家癌症研究所;威廉 T 格兰特基金会;澳大利亚研究理事会;弗吉尼亚烟草和解基金会;美国退伍军人事务部第 1 和第 4 号精神病学研究、教育和临床中心;第 5 框架计划(FP-5)GenomEUtwin 项目;丹麦隆德基金会;美国国立卫生研究院资助的共享仪器拨款 S10RR025141;临床转化科学奖;美国国立神经疾病与中风研究所;美国国家心肺血液研究所;美国国立普通医学科学研究所。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/2ac92a3d1d64/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/c9c704595ea7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/15315aba673a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/eb34fa6d3c77/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/2ac92a3d1d64/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/c9c704595ea7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/15315aba673a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/eb34fa6d3c77/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e10/7674631/2ac92a3d1d64/gr4.jpg

相似文献

1
A large-scale genome-wide association study meta-analysis of cannabis use disorder.一项大麻使用障碍的大规模全基因组关联研究荟萃分析。
Lancet Psychiatry. 2020 Dec;7(12):1032-1045. doi: 10.1016/S2215-0366(20)30339-4. Epub 2020 Oct 20.
2
Genome-wide association study meta-analysis of dizygotic twinning illuminates genetic regulation of female fecundity.全基因组关联研究荟萃分析揭示了二倍体双胞胎的遗传调控对女性生育能力的影响。
Hum Reprod. 2024 Jan 5;39(1):240-257. doi: 10.1093/humrep/dead247.
3
Genome-wide association study meta-analysis identifies three novel loci for circulating anti-Müllerian hormone levels in women.全基因组关联研究荟萃分析确定了女性循环抗苗勒管激素水平的三个新基因座。
Hum Reprod. 2022 May 3;37(5):1069-1082. doi: 10.1093/humrep/deac028.
4
The relationship between cannabis use, schizophrenia, and bipolar disorder: a genetically informed study.大麻使用与精神分裂症和双相情感障碍之间的关系:一项基于遗传学的研究。
Lancet Psychiatry. 2023 Jun;10(6):441-451. doi: 10.1016/S2215-0366(23)00143-8.
5
Association of medically assisted reproduction with offspring cord blood DNA methylation across cohorts.医学辅助生殖与队列间脐带血 DNA 甲基化的关联。
Hum Reprod. 2021 Jul 19;36(8):2403-2413. doi: 10.1093/humrep/deab137.
6
Genetic overlap analysis of endometriosis and asthma identifies shared loci implicating sex hormones and thyroid signalling pathways.子宫内膜异位症和哮喘的遗传重叠分析确定了与性激素和甲状腺信号通路相关的共同位点。
Hum Reprod. 2022 Jan 28;37(2):366-383. doi: 10.1093/humrep/deab254.
7
Genome-wide genetic analyses highlight mitogen-activated protein kinase (MAPK) signaling in the pathogenesis of endometriosis.全基因组遗传分析突出了丝裂原活化蛋白激酶(MAPK)信号通路在子宫内膜异位症发病机制中的作用。
Hum Reprod. 2017 Apr 1;32(4):780-793. doi: 10.1093/humrep/dex024.
8
Circulating anti-Müllerian hormone levels in pre-menopausal women: novel genetic insights from a genome-wide association meta-analysis.绝经前女性循环抗苗勒管激素水平:全基因组关联荟萃分析的新遗传学见解
Hum Reprod. 2024 May 30;39(7):1564-72. doi: 10.1093/humrep/deae117.
9
Genome-wide association study identifies genetic regulation of oestrone concentrations and association with endometrial cancer risk in postmenopausal women.全基因组关联研究鉴定出雌酮浓度的遗传调控及其与绝经后妇女子宫内膜癌风险的关联。
EBioMedicine. 2024 Mar;101:104997. doi: 10.1016/j.ebiom.2024.104997. Epub 2024 Feb 6.
10
Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study.评估表观遗传时钟在多种癌症发生发展中的因果作用:一项孟德尔随机化研究。
Elife. 2022 Mar 29;11:e75374. doi: 10.7554/eLife.75374.

引用本文的文献

1
Multiancestry brain pQTL fine-mapping and integration with genome-wide association studies of 21 neurologic and psychiatric conditions.多祖先脑蛋白定量性状基因座精细定位及与21种神经和精神疾病全基因组关联研究的整合
Nat Genet. 2025 Sep 8. doi: 10.1038/s41588-025-02291-2.
2
Prenatal cannabis exposure, the brain, and psychopathology during early adolescence.产前大麻暴露、大脑与青春期早期的精神病理学
Nat Ment Health. 2024 Aug;2(8):975-986. doi: 10.1038/s44220-024-00281-7. Epub 2024 Jul 4.
3
Genome-wide association study of borderline personality disorder identifies 11 loci and highlights shared risk with mental and somatic disorders.

本文引用的文献

1
Polygenic risk scores: from research tools to clinical instruments.多基因风险评分:从研究工具到临床工具。
Genome Med. 2020 May 18;12(1):44. doi: 10.1186/s13073-020-00742-5.
2
A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles.一种计算工具 (H-MAGMA),通过整合大脑染色质互作谱,提高了大脑疾病风险基因的预测能力。
Nat Neurosci. 2020 Apr;23(4):583-593. doi: 10.1038/s41593-020-0603-0. Epub 2020 Mar 9.
3
Genetic risk for major depressive disorder and loneliness in sex-specific associations with coronary artery disease.
边缘型人格障碍的全基因组关联研究确定了11个基因座,并突出了与精神和躯体疾病的共同风险。
medRxiv. 2025 Aug 12:2024.11.12.24316957. doi: 10.1101/2024.11.12.24316957.
4
Intergenerational Transmission of Cannabis Use: Testing Genetic Risk and the Mitigating Influences of Parent Positive Behavior Support in Early Childhood.大麻使用的代际传递:测试遗传风险及幼儿期父母积极行为支持的缓解影响。
Res Child Adolesc Psychopathol. 2025 Aug 18. doi: 10.1007/s10802-025-01354-6.
5
Measuring the Associations Between Brain Morphometry and Polygenic Risk Scores for Substance use Disorders in Drug-Naive Adolescents.测量初涉毒品青少年的脑形态测量学与物质使用障碍多基因风险评分之间的关联。
Behav Genet. 2025 Jul 25. doi: 10.1007/s10519-025-10227-z.
6
Examining the genetic links between clusters of immune-mediated diseases and psychiatric disorders.研究免疫介导疾病集群与精神疾病之间的遗传联系。
Transl Psychiatry. 2025 Jul 21;15(1):252. doi: 10.1038/s41398-025-03470-9.
7
Chronic Pain and Substance Use Disorders: A Brief Narrative Review of Genetic, Neurobiological, and Environmental Contributions to Comorbidity.慢性疼痛与物质使用障碍:关于遗传、神经生物学和环境因素对共病影响的简要叙述性综述
J Psychiatr Brain Sci. 2025;10(3). doi: 10.20900/jpbs.20250003. Epub 2025 Jun 10.
8
Genetic liability to major psychiatric disorders contributes to multi-faceted quality of life outcomes in children and adults.主要精神疾病的遗传易感性会影响儿童和成人多方面的生活质量。
Transl Psychiatry. 2025 Jul 7;15(1):232. doi: 10.1038/s41398-025-03443-y.
9
The Landscape of Shared and Divergent Genetic Influences across 14 Psychiatric Disorders.14种精神疾病中共同和不同遗传影响的情况
medRxiv. 2025 Jan 15:2025.01.14.25320574. doi: 10.1101/2025.01.14.25320574.
10
Investigating the Polygenic Relationship Between Cannabis Use and Schizophrenia in the All of Us Research Program.在“我们所有人”研究项目中探究大麻使用与精神分裂症之间的多基因关系。
medRxiv. 2025 May 21:2025.05.20.25327979. doi: 10.1101/2025.05.20.25327979.
性别特异性关联中,主要抑郁障碍和孤独的遗传风险与冠状动脉疾病的关系。
Mol Psychiatry. 2021 Aug;26(8):4254-4264. doi: 10.1038/s41380-019-0614-y. Epub 2019 Dec 3.
4
Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations.全基因组关联研究在遗传背景多样化的人群中的应用:机遇、方法、陷阱和建议。
Cell. 2019 Oct 17;179(3):589-603. doi: 10.1016/j.cell.2019.08.051. Epub 2019 Oct 10.
5
A global overview of pleiotropy and genetic architecture in complex traits.复杂性状中的多效性和遗传结构的全球概述。
Nat Genet. 2019 Sep;51(9):1339-1348. doi: 10.1038/s41588-019-0481-0. Epub 2019 Aug 19.
6
RICOPILI: Rapid Imputation for COnsortias PIpeLIne.RICOPILI:Consortium Pipeline 的快速推断。
Bioinformatics. 2020 Feb 1;36(3):930-933. doi: 10.1093/bioinformatics/btz633.
7
PRSice-2: Polygenic Risk Score software for biobank-scale data.PRSice-2:用于生物库规模数据的多基因风险评分软件。
Gigascience. 2019 Jul 1;8(7). doi: 10.1093/gigascience/giz082.
8
Genome-wide association study implicates CHRNA2 in cannabis use disorder.全基因组关联研究提示 CHRNA2 与大麻使用障碍有关。
Nat Neurosci. 2019 Jul;22(7):1066-1074. doi: 10.1038/s41593-019-0416-1. Epub 2019 Jun 17.
9
Polygenic prediction via Bayesian regression and continuous shrinkage priors.基于贝叶斯回归和连续收缩先验的多基因预测。
Nat Commun. 2019 Apr 16;10(1):1776. doi: 10.1038/s41467-019-09718-5.
10
Adjustment for index event bias in genome-wide association studies of subsequent events.针对后续事件全基因组关联研究中指标事件偏倚的调整。
Nat Commun. 2019 Apr 5;10(1):1561. doi: 10.1038/s41467-019-09381-w.