Genetic analyses identify brain imaging-derived phenotypes associated with the risk of intracerebral hemorrhage

被引:0
|
作者
Liu, Yi [1 ]
Jia, Yiming [1 ]
Sun, Hongyan [2 ]
Sun, Lulu [1 ]
Wang, Yinan [1 ]
Xu, Qingyun [1 ]
He, Yu [1 ]
Chang, Xinyue [1 ]
Guo, Daoxia [3 ]
Shi, Mengyao [1 ]
Chen, Guo-Chong [4 ]
Zheng, Jin [5 ]
Zhu, Zhengbao [1 ,6 ,7 ]
机构
[1] Soochow Univ, Suzhou Med Coll, MOE Key Lab Geriatr Dis & Immunol, Sch Publ Hlth,Dept Epidemiol,Jiangsu Key Lab Preve, 199 Renai Rd, Suzhou 215123, Jiangsu, Peoples R China
[2] Soochow Univ, Affiliated Guangji Hosp, Dept Med Imaging, 11 Guangqian Rd, Suzhou, Peoples R China
[3] Soochow Univ, Suzhou Med Coll, Sch Nursing, 333 Ganjiang East Rd, Suzhou, Peoples R China
[4] Soochow Univ, Suzhou Med Coll, Sch Publ Hlth, Dept Nutr & Food Hyg, 199 Renai Rd, Suzhou, Peoples R China
[5] Fudan Univ, Minhang Hosp, Dept Neurol, 170 Xinsong Rd, Shanghai, Peoples R China
[6] Soochow Univ, Suzhou Med Coll, Sch Publ Hlth, Dept Epidemiol, 199 Renai Rd, Suzhou 215123, Jiangsu, Peoples R China
[7] Soochow Univ, Suzhou Med Coll, Jiangsu Key Lab Prevent & Translat Med Geriatr Dis, 199 Renai Rd, Suzhou 215123, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
brain imaging-derived phenotypes; stroke; intracerebral hemorrhage; biomarker; Mendelian randomization; MENDELIAN RANDOMIZATION; INTERNAL CAPSULE; ANTERIOR LIMB; LEUKOARAIOSIS; INSTRUMENTS; ASYMMETRY; THROMBOLYSIS; DYSFUNCTION;
D O I
10.1093/cercor/bhad518
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Previous observational studies have reported associations between brain imaging-derived phenotypes (IDPs) and intracerebral hemorrhage (ICH), but the causality between them remains uncertain. We aimed to investigate the potential causal relationship between IDPs and ICH by a two-sample Mendelian randomization (MR) study. We selected genetic instruments for 363 IDPs from a genome-wide association study (GWASs) based on the UK Biobank (n = 33,224). Summary-level data on ICH was derived from a European-descent GWAS with 1,545 cases and 1,481 controls. Inverse variance weighted MR method was applied in the main analysis to investigate the associations between IDPs and ICH. Reverse MR analyses were performed for significant IDPs to examine the reverse causation for the identified associations. Among the 363 IDPs, isotropic or free water volume fraction (ISOVF) in the anterior limb of the left internal capsule was identified to be associated with the risk of ICH (OR per 1-SD increase, 4.62 [95% CI, 2.18-9.81], P = 6.63 x 10-5). In addition, the reverse MR analysis indicated that ICH had no effect on ISOVF in the anterior limb of the left internal capsule (beta, 0.010 [95% CI, -0.010-0.030], P = 0.33). MR-Egger regression analysis showed no directional pleiotropy for the association between ISOVF and ICH, and sensitivity analyses with different MR models further confirmed these findings. ISOVF in the anterior limb of the left internal capsule might be a potential causal mediator of ICH, which may provide predictive guidance for the prevention of ICH. Further studies are warranted to replicate our findings and clarify the underlying mechanisms.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Genetic analyses identify brain imaging-derived phenotypes associated with the risk of amyotrophic lateral sclerosis
    Wang, Yinan
    Shen, Ouxi
    Xu, Qingyun
    Sun, Lulu
    Jia, Yiming
    Liu, Yi
    He, Yu
    Chang, Xinyue
    Guo, Daoxia
    Shi, Mengyao
    Chen, Guo-Chong
    Zheng, Jin
    Zhu, Zhengbao
    CEREBRAL CORTEX, 2024, 34 (01)
  • [2] Mendelian randomization analyses support causal relationships between brain imaging-derived phenotypes and risk of psychiatric disorders
    Jing Guo
    Ke Yu
    Shan-Shan Dong
    Shi Yao
    Yu Rong
    Hao Wu
    Kun Zhang
    Feng Jiang
    Yi-Xiao Chen
    Yan Guo
    Tie-Lin Yang
    Nature Neuroscience, 2022, 25 : 1519 - 1527
  • [3] Mendelian randomization analyses support causal relationships between brain imaging-derived phenotypes and risk of psychiatric disorders
    Guo, Jing
    Yu, Ke
    Dong, Shan-Shan
    Yao, Shi
    Rong, Yu
    Wu, Hao
    Zhang, Kun
    Jiang, Feng
    Chen, Yi-Xiao
    Guo, Yan
    Yang, Tie-Lin
    NATURE NEUROSCIENCE, 2022, 25 (11) : 1519 - +
  • [4] Associations Between Temporomandibular Disorders and Brain Imaging-Derived Phenotypes
    Lin, Jun
    Cao, Dong -Yuan
    INTERNATIONAL DENTAL JOURNAL, 2024, 74 (04) : 784 - 793
  • [5] Associations between brain imaging-derived phenotypes and cognitive functions
    Liu, Yi
    Shen, Ouxi
    Zhu, Huating
    He, Yu
    Chang, Xinyue
    Sun, Lulu
    Jia, Yiming
    Sun, Hongyan
    Wang, Yinan
    Xu, Qingyun
    Guo, Daoxia
    Shi, Mengyao
    Zheng, Jin
    Zhu, Zhengbao
    CEREBRAL CORTEX, 2024, 34 (07)
  • [6] Genetic evidence supports a causal relationship between air pollution and brain imaging-derived phenotypes
    Wang, Qitong
    Li, Shuzhu
    Cai, Benchi
    Zhong, Lifan
    Liu, Fang
    Wang, Xinyu
    Chen, Tao
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2024, 281
  • [7] Mendelian Randomization Analyses Accounting for Causal Effect of COVID-19 on Brain Imaging-Derived Phenotypes
    Lu, Jiajie
    Huang, Rihong
    Peng, Yuecheng
    Zhang, Jinming
    Liang, Kairong
    Wang, Yezhong
    Feng, Yi
    Wang, Zhaotao
    JOURNAL OF ALZHEIMERS DISEASE, 2023, 96 (03) : 1059 - 1070
  • [8] Mendelian randomization analyses support causal relationships between systemic lupus erythematosus and brain imaging-derived phenotypes
    Ma, Yan
    Li, Rui
    Li, Qianqian
    Lin, Wanyi
    Lu, Liangjing
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [9] Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization
    Lin, Siying
    Zhang, Haoyang
    Qi, Mengling
    Cooper, David N.
    Yang, Yuedong
    Yang, Yuanhao
    Zhao, Huiying
    NEUROIMAGE, 2023, 279
  • [10] Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project
    Wang, Chengyan
    Shi, Zhang
    Li, Yan
    Xia, Xueqin
    Kuang, Xutong
    Qian, Shufang
    Xue, Le
    Lan, Lizhen
    Wu, Yudan
    Zhang, Na
    Tao, Ji
    Hu, Xumei
    Cao, Wenzhao
    He, Naying
    Guo, Yike
    Chen, Weibo
    Zhang, Jun
    Luo, Jingchun
    Wang, He
    Tian, Mei
    PHENOMICS, 2023, 3 (06): : 642 - 656