Association between gut microbiome and intracerebral hemorrhage based on genome-wide association study data.
10.11817/j.issn.1672-7347.2023.230107
- Author:
Dihui LIN
1
;
Xinpeng LIU
2
;
Qi LI
3
;
Jiabi QIN
4
;
Zhendong XIONG
2
;
Xinrui WU
5
Author Information
1. Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000. ldhdoct@163.com.
2. Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000.
3. Xiangxi Tujia and Miao Autonomous Prefecture Center for Disease Prevention and Control, Jishou Hunan 416000.
4. Department of Epidemic and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410006, China.
5. Department of Public Health and Medical Technology, College of Medicine, Jishou University, Jishou Hunan 416000. wuxinrui99@qq.com.
- Publication Type:Journal Article
- Keywords:
Mendelian randomization;
conditional false discovery rate;
genome wide association study;
gut microbiome;
intracerebral hemorrhage
- MeSH:
Humans;
Genome-Wide Association Study;
Gastrointestinal Microbiome/genetics*;
Genetic Predisposition to Disease;
Cerebral Hemorrhage/genetics*;
Stroke
- From:
Journal of Central South University(Medical Sciences)
2023;48(8):1176-1184
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:Intracerebral hemorrhage (ICH) has the highest mortality and disability rates among various subtypes of stroke. Previous studies have shown that the gut microbiome (GM) is closely related to the risk factors and pathological basis of ICH. This study aims to explore the causal effect of GM on ICH and the potential mechanisms.
METHODS:Genome wide association study (GWAS) data on GM and ICH were obtained from Microbiome Genome and International Stroke Genetics Consortium. Based on the GWAS data, we first performed Mendelian randomization (MR) analysis to evaluate the causal association between GM and ICH. Then, a conditional false discovery rate (cFDR) method was conducted to identify the pleiotropic variants.
RESULTS:MR analysis showed that Pasteurellales, Pasteurellaceae, and Haemophilus were negatively correlated with the risk of ICH, whileVerrucomicrobiae, Verrucomicrobiales, Verrucomicrobiaceae, Akkermansia, Holdemanella, and LachnospiraceaeUCG010 were positively correlated with ICH. By applying the cFDR method, 3 pleiotropic loci (rs331083, rs4315115, and rs12553325) were found to be associated with both GM and ICH.
CONCLUSIONS:There is a causal association and pleiotropic variants between GM and ICH.
