• 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

欧洲裔儿童C反应蛋白遗传风险的全表型组关联研究(PheWAS):ABCD研究结果

A Phenome-Wide association study (PheWAS) of genetic risk for C-reactive protein in children of European Ancestry: Results from the ABCD study.

作者信息

Norton Sara A, Gorelik Aaron J, Paul Sarah E, Johnson Emma C, Baranger David Aa, Siudzinski Jayne L, Li Zhaolong Adrian, Bondy Erin, Modi Hailey, Karcher Nicole R, Hershey Tamara, Hatoum Alexander S, Agrawal Arpana, Bogdan Ryan

机构信息

Washington University in St. Louis, Department of Psychological & Brain Sciences, United States.

Washington University School of Medicine in St. Louis, Department of Psychiatry, United States.

出版信息

Brain Behav Immun. 2025 Apr 12;128:487-496. doi: 10.1016/j.bbi.2025.04.012.

DOI:10.1016/j.bbi.2025.04.012
PMID:40228565
Abstract

BACKGROUND

C-reactive protein (CRP) is a moderately heritable marker of systemic inflammation that is associated with adverse physical and mental health outcomes. Identifying factors associated with genetic liability to elevated CRP in childhood may inform our understanding of variability in CRP that could be targeted to prevent and/or delay the onset of related health outcomes.

METHODS

We conducted a phenome-wide association study (PheWAS) of genetic risk for elevated CRP (i.e. CRP polygenic risk score [PRS]) among children genetically similar to European ancestry reference populations (median analytic n = 5,509, range = 120-5,556) from the Adolescent Brain and Cognitive Development (ABCD) Study baseline assessment. Associations between CRP PRS and 2,377 psychosocial and neuroimaging phenotypes were estimated using independent mixed effects models nested by recruitment site (or scanner) and family, with ancestral genomic principal components (n = 10), age, and sex, as well as global brain metrics (when relevant) included as fixed effect covariates. Post hoc analyses examined whether: (1) covarying for measured body mass index (BMI) or removing the shared genetic architecture between CRP and BMI altered phenotypic associations, (2) sex moderated CRP PRS associations, and (3) associations were unconfounded by assortative mating or passive gene-environment correlations (using within-family analyses). Multiple testing was adjusted for using Bonferroni and false discovery rate (FDR) correction.

RESULTS

Nine phenotypes were positively associated with CRP PRS after multiple testing correction: five weight- and eating-related phenotypes (e.g. BMI, overeating), three phenotypes related to caregiver somatic problems (e.g. caregiver somatic complaints), as well as weekday video watching (all ps = 1.2 x 10 - 2.5 x 10, all ps = 0.0002-0.05). No neuroimaging phenotypes were associated with CRP PRS (all ps = 0.0003-0.998; all ps = 0.08-0.998) after correction for multiple testing. Eating and weight-related phenotypes remained associated with CRP PRS in within-family analyses. Covarying for BMI resulted in largely consistent results, and sex did not moderate any CRP PRS associations. Removing the shared genetic variance between CRP and BMI attenuated all relationships; associations with weekday video watching, caregiver somatic problems and caregiver report that the child is overweight remained significant while associations with waist circumference, weight, and caregiver report that child overeats did not.

DISCUSSION

Genetic liability to elevated CRP is associated with higher weight, eating, and weekday video watching during childhood as well as caregiver somatic problems. These associations were consistent with direct genetic effects (i.e., not solely due to confounding factors like passive gene-environment correlations) and were independent of measured BMI. The majority of associations with weight and eating phenotypes were attributable to shared genetic architecture between BMI and inflammation. The relationship between genetics and heightened inflammation in later life may be partially attributable to modifiable behaviors (e.g. weight and activity levels) that are expressed as early as childhood.

摘要

背景

C反应蛋白(CRP)是全身炎症的一种中度可遗传标志物,与不良身心健康结果相关。识别与儿童期CRP升高的遗传易感性相关的因素,可能有助于我们理解CRP的变异性,从而针对这些因素预防和/或延缓相关健康结果的发生。

方法

我们在青少年大脑与认知发展(ABCD)研究基线评估中,对与欧洲血统参考人群基因相似的儿童(中位分析样本量n = 5509,范围 = 120 - 5556)进行了一项全表型关联研究(PheWAS),以探究CRP升高的遗传风险(即CRP多基因风险评分[PRS])。使用按招募地点(或扫描仪)和家庭嵌套的独立混合效应模型,估计CRP PRS与2377种心理社会和神经影像表型之间的关联,将祖先基因组主成分(n = 10)、年龄、性别以及(相关时)全脑指标作为固定效应协变量纳入模型。事后分析检验了以下内容:(1)对测量的体重指数(BMI)进行协变量调整或去除CRP与BMI之间的共享遗传结构是否会改变表型关联;(2)性别是否会调节CRP PRS关联;(3)关联是否不受选型交配或被动基因 - 环境相关性的混淆影响(使用家庭内部分析)。采用Bonferroni法和错误发现率(FDR)校正对多重检验进行调整。

结果

经过多重检验校正后,9种表型与CRP PRS呈正相关:5种与体重和饮食相关的表型(如BMI、暴饮暴食)、3种与照顾者躯体问题相关的表型(如照顾者躯体不适主诉)以及工作日观看视频的时间(所有p值 = 1.2×10 - 2.5×10,所有p值 = 0.0002 - 0.05)。经过多重检验校正后,没有神经影像表型与CRP PRS相关(所有p值 = 0.0003 - 0.998;所有p值 = 0.08 - 0.998)。在家庭内部分析中,饮食和体重相关表型仍与CRP PRS相关。对BMI进行协变量调整后结果基本一致,且性别并未调节任何CRP PRS关联。去除CRP与BMI之间的共享遗传方差减弱了所有关系;与工作日观看视频时间、照顾者躯体问题以及照顾者报告孩子超重之间的关联仍然显著,而与腰围、体重以及照顾者报告孩子暴饮暴食之间的关联不再显著。

讨论

儿童期CRP升高的遗传易感性与更高的体重、饮食、工作日观看视频时间以及照顾者躯体问题相关。这些关联与直接遗传效应一致(即不仅仅是由于被动基因 - 环境相关性等混杂因素),并且独立于测量的BMI。与体重和饮食表型的大多数关联归因于BMI与炎症之间的共享遗传结构。遗传与晚年炎症加剧之间的关系可能部分归因于早在儿童期就表现出的可改变行为(如体重和活动水平)。

相似文献

1
A Phenome-Wide association study (PheWAS) of genetic risk for C-reactive protein in children of European Ancestry: Results from the ABCD study.欧洲裔儿童C反应蛋白遗传风险的全表型组关联研究(PheWAS):ABCD研究结果
Brain Behav Immun. 2025 Apr 12;128:487-496. doi: 10.1016/j.bbi.2025.04.012.
2
A Phenome-Wide Association Study (PheWAS) of Genetic Risk for C-Reactive Protein in Children of European Ancestry: Results From the ABCD Study.欧洲裔儿童C反应蛋白遗传风险的全表型组关联研究(PheWAS):ABCD研究结果
medRxiv. 2024 Aug 31:2024.08.30.24312857. doi: 10.1101/2024.08.30.24312857.
3
Healthy eating interventions delivered in early childhood education and care settings for improving the diet of children aged six months to six years.在幼儿教育和照护环境中实施的健康饮食干预措施,以改善 6 个月至 6 岁儿童的饮食。
Cochrane Database Syst Rev. 2023 Aug 22;8(8):CD013862. doi: 10.1002/14651858.CD013862.pub3.
4
Phenome-wide association study identifies multiple traits associated with a polygenic risk score for colorectal cancer.全表型关联研究确定了与结直肠癌多基因风险评分相关的多个性状。
Hum Genomics. 2025 Jul 9;19(1):77. doi: 10.1186/s40246-025-00791-0.
5
Gut microbiome-based interventions for the management of obesity in children and adolescents aged up to 19 years.基于肠道微生物群的干预措施用于管理19岁及以下儿童和青少年的肥胖问题。
Cochrane Database Syst Rev. 2025 Jul 10;7(7):CD015875. doi: 10.1002/14651858.CD015875.
6
Physical exercise training interventions for children and young adults during and after treatment for childhood cancer.针对儿童癌症治疗期间及治疗后的儿童和青少年的体育锻炼训练干预措施。
Cochrane Database Syst Rev. 2016 Mar 31;3(3):CD008796. doi: 10.1002/14651858.CD008796.pub3.
7
Sexual Harassment and Prevention Training性骚扰与预防培训
8
Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences.社区居住的老年人跌倒预防干预措施:系统评价和荟萃分析的益处、危害以及患者的价值观和偏好。
Syst Rev. 2024 Nov 26;13(1):289. doi: 10.1186/s13643-024-02681-3.
9
The effect of sample site and collection procedure on identification of SARS-CoV-2 infection.样本采集部位和采集程序对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染鉴定的影响。
Cochrane Database Syst Rev. 2024 Dec 16;12(12):CD014780. doi: 10.1002/14651858.CD014780.
10
A New Measure of Quantified Social Health Is Associated With Levels of Discomfort, Capability, and Mental and General Health Among Patients Seeking Musculoskeletal Specialty Care.一种新的量化社会健康指标与寻求肌肉骨骼专科护理的患者的不适程度、能力以及心理和总体健康水平相关。
Clin Orthop Relat Res. 2025 Apr 1;483(4):647-663. doi: 10.1097/CORR.0000000000003394. Epub 2025 Feb 5.

本文引用的文献

1
Associations between polygenic scores for cognitive and non-cognitive factors of educational attainment and measures of behavior, psychopathology, and neuroimaging in the adolescent brain cognitive development study.青少年大脑认知发展研究中教育成就的认知和非认知因素的多基因分数与行为、精神病理学及神经影像学测量之间的关联。
Psychol Med. 2024 Oct 23;54(13):1-15. doi: 10.1017/S0033291724002174.
2
Annual Research Review: Neuroimmune network model of depression: a developmental perspective.年度研究综述:抑郁症的神经免疫网络模型:发展的视角。
J Child Psychol Psychiatry. 2024 Apr;65(4):538-567. doi: 10.1111/jcpp.13961. Epub 2024 Mar 1.
3
Evidence of correlations between human partners based on systematic reviews and meta-analyses of 22 traits and UK Biobank analysis of 133 traits.
基于 22 项特征的系统评价和荟萃分析以及对英国生物库 133 项特征的分析,为人类特征相关性提供证据。
Nat Hum Behav. 2023 Sep;7(9):1568-1583. doi: 10.1038/s41562-023-01672-z. Epub 2023 Aug 31.
4
Inflammation and aging: signaling pathways and intervention therapies.炎症与衰老:信号通路与干预治疗。
Signal Transduct Target Ther. 2023 Jun 8;8(1):239. doi: 10.1038/s41392-023-01502-8.
5
A Phenome-Wide Association Study (PheWAS) of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results from the ABCD Study.儿童中期具有欧洲血统的个体中晚期阿尔茨海默病遗传风险的表型全基因组关联研究:ABCD 研究结果。
Behav Genet. 2023 May;53(3):249-264. doi: 10.1007/s10519-023-10140-3. Epub 2023 Apr 18.
6
Targeting integrin pathways: mechanisms and advances in therapy.靶向整合素途径:机制与治疗进展。
Signal Transduct Target Ther. 2023 Jan 2;8(1):1. doi: 10.1038/s41392-022-01259-6.
7
A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets.使用 ABCD 研究和其他大型纵向数据集的研究人员和审查者实用指南。
Dev Cogn Neurosci. 2022 Jun;55:101115. doi: 10.1016/j.dcn.2022.101115. Epub 2022 May 20.
8
Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects.同一家系全基因组关联分析可减少直接遗传效应估计的偏差。
Nat Genet. 2022 May;54(5):581-592. doi: 10.1038/s41588-022-01062-7. Epub 2022 May 9.
9
Genetic analysis of over half a million people characterises C-reactive protein loci.对超过 50 万人的基因分析确定了 C 反应蛋白基因座。
Nat Commun. 2022 Apr 22;13(1):2198. doi: 10.1038/s41467-022-29650-5.
10
Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.在 300 万人的全基因组关联分析中,对家庭内和家庭间的受教育程度进行多基因预测。
Nat Genet. 2022 Apr;54(4):437-449. doi: 10.1038/s41588-022-01016-z. Epub 2022 Mar 31.