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8. Causal association between snoring and stroke: a Mendelian randomization study in a Chinese population

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walter, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Burgess, Sue, Chan, Ka Hung, Chang, Yumei, Chen, Yiping, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fairhurst-Hunter, Zammy, Fry, Hannah, Hill, Mike, Holmes, Michael, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Kerosi, Rene, Lin, Kuang, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Ryder, Paul, Said, Saredo, Schmidt, Dan, Sherliker, Paul, Stevens, Becky, Turnbull, Iain, Walters, Robin, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Yu, Canqing, Xia, Qingmei, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Duan, Haiping, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Sun, Wei, Yan, Shichun, Cui, Xiaoming, Wang, Chi, Wu, Zhenyuan, Li, Yanjie, Kang, Quan, Luo, Huiming, Ou, Tingting, Zheng, Xiangyang, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Wu, Ming, Zhou, Yonglin, Zhou, Jinyi, Tao, Ran, Yang, Jie, Su, Jian, Liu, Fang, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Lin, Mei, Lu, Zhenzhen, Zhou, Lifang, Xie, Changping, Lan, Jian, Zhu, Tingping, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Chang, Xiaoyu, Yuan, Mingqiang, Wu, Xia, Jiang, Wei, Liu, Jiaqiu, Sun, Qiang, Chen, Faqing, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, zhang, Xi, Kang, Kai, Feng, Shixian, Tian, Huizi, Fan, Lei, Li, XiaoLin, Sun, Huarong, He, Pan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Zhang, Xiaoyi, Cao, Yuan, Xie, Kaixu, Chen, Lingli, Shen, Dun, Li, Xiaojun, Jin, Donghui, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Xin, Zhang, Hao, Chen, Jianwei, Peng, Yuan, Zhang, Libo, Qu, Chan, Zhu, Yunqing, Zhuang, Zhenhuang, Sun, Dianjianyi, Millwood, Iona Y., and Walters, Robin G.

Published
2024
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18. Genetically determined blood pressure, antihypertensive drug classes, and frailty: A Mendelian randomization study

Author

Zhuang, Zhenhuang, primary, Li, Yueying, additional, Zhao, Yimin, additional, Huang, Ninghao, additional, Wang, Wenxiu, additional, Xiao, Wendi, additional, Du, Jie, additional, Dong, Xue, additional, Song, Zimin, additional, Jia, Jinzhu, additional, Liu, Zhonghua, additional, Clarke, Robert, additional, Qi, Lu, additional, and Huang, Tao, additional

Published
2024
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20. Causal association between snoring and stroke: a Mendelian randomization study in a Chinese population

Author

Zhu, Yunqing, primary, Zhuang, Zhenhuang, additional, Lv, Jun, additional, Sun, Dianjianyi, additional, Pei, Pei, additional, Yang, Ling, additional, Millwood, Iona Y., additional, Walters, Robin G., additional, Chen, Yiping, additional, Du, Huaidong, additional, Wu, Xianping, additional, Schmidt, Dan, additional, Avery, Daniel, additional, Chen, Junshi, additional, Chen, Zhengming, additional, Li, Liming, additional, Yu, Canqing, additional, Clarke, Robert, additional, Collins, Rory, additional, Guo, Yu, additional, Peto, Richard, additional, Walter, Robin, additional, Bennett, Derrick, additional, Boxall, Ruth, additional, Burgess, Sue, additional, Chan, Ka Hung, additional, Chang, Yumei, additional, Clarke, Johnathan, additional, Mohamed, Ahmed Edris, additional, Fairhurst-Hunter, Zammy, additional, Fry, Hannah, additional, Hill, Mike, additional, Holmes, Michael, additional, Im, Pek Kei, additional, Iona, Andri, additional, Kakkoura, Maria, additional, Kartsonaki, Christiana, additional, Kerosi, Rene, additional, Lin, Kuang, additional, Mazidi, Mohsen, additional, Millwood, Iona, additional, Morris, Sam, additional, Nie, Qunhua, additional, Pozarickij, Alfred, additional, Ryder, Paul, additional, Said, Saredo, additional, Sherliker, Paul, additional, Stevens, Becky, additional, Turnbull, Iain, additional, Walters, Robin, additional, Wang, Lin, additional, Wright, Neil, additional, Yang, Xiaoming, additional, Yao, Pang, additional, Han, Xiao, additional, Hou, Can, additional, Liu, Chao, additional, Xia, Qingmei, additional, Pang, Zengchang, additional, Gao, Ruqin, additional, Li, Shanpeng, additional, Duan, Haiping, additional, Wang, Shaojie, additional, Liu, Yongmei, additional, Du, Ranran, additional, Zang, Yajing, additional, Cheng, Liang, additional, Tian, Xiaocao, additional, Zhang, Hua, additional, Zhai, Yaoming, additional, Ning, Feng, additional, Sun, Xiaohui, additional, Li, Feifei, additional, Lv, Silu, additional, Wang, Junzheng, additional, Hou, Wei, additional, Sun, Wei, additional, Yan, Shichun, additional, Cui, Xiaoming, additional, Wang, Chi, additional, Wu, Zhenyuan, additional, Li, Yanjie, additional, Kang, Quan, additional, Luo, Huiming, additional, Ou, Tingting, additional, Zheng, Xiangyang, additional, Guo, Zhendong, additional, Wu, Shukuan, additional, Li, Yilei, additional, Li, Huimei, additional, Wu, Ming, additional, Zhou, Yonglin, additional, Zhou, Jinyi, additional, Tao, Ran, additional, Yang, Jie, additional, Su, Jian, additional, Liu, Fang, additional, Zhang, Jun, additional, Hu, Yihe, additional, Lu, Yan, additional, Ma, Liangcai, additional, Tang, Aiyu, additional, Zhang, Shuo, additional, Jin, Jianrong, additional, Liu, Jingchao, additional, Lin, Mei, additional, Lu, Zhenzhen, additional, Zhou, Lifang, additional, Xie, Changping, additional, Lan, Jian, additional, Zhu, Tingping, additional, Liu, Yun, additional, Wei, Liuping, additional, Zhou, Liyuan, additional, Chen, Ningyu, additional, Qin, Yulu, additional, Wang, Sisi, additional, Zhang, Ningmei, additional, Chen, Xiaofang, additional, Chang, Xiaoyu, additional, Yuan, Mingqiang, additional, Wu, Xia, additional, Jiang, Wei, additional, Liu, Jiaqiu, additional, Sun, Qiang, additional, Chen, Faqing, additional, Ren, Xiaolan, additional, Dong, Caixia, additional, Zhang, Hui, additional, Mao, Enke, additional, Wang, Xiaoping, additional, Wang, Tao, additional, zhang, Xi, additional, Kang, Kai, additional, Feng, Shixian, additional, Tian, Huizi, additional, Fan, Lei, additional, Li, XiaoLin, additional, Sun, Huarong, additional, He, Pan, additional, Zhang, Xukui, additional, Yu, Min, additional, Hu, Ruying, additional, Wang, Hao, additional, Zhang, Xiaoyi, additional, Cao, Yuan, additional, Xie, Kaixu, additional, Chen, Lingli, additional, Shen, Dun, additional, Li, Xiaojun, additional, Jin, Donghui, additional, Yin, Li, additional, Liu, Huilin, additional, Fu, Zhongxi, additional, Xu, Xin, additional, Zhang, Hao, additional, Chen, Jianwei, additional, Peng, Yuan, additional, Zhang, Libo, additional, and Qu, Chan, additional

Published
2024
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23. Contributors

Author

Bonham, Maxine P., primary, Cai, Fang, additional, Chang, Jane Pei-Chen, additional, Chen, Daniel Tzu-Li, additional, Chen, Jocelyn Chia-Yu, additional, Chen, Zhen-Yu, additional, Clark, Katya M., additional, Deo, Permal, additional, Dhillon, Varinderpal, additional, Fenech, Michael, additional, Fu, Yuanqing, additional, Guo, Xiao-fei, additional, He, Canxia, additional, He, Wen-Sen, additional, Hettiarachchi, Dhanushka, additional, Hu, Xiang, additional, Hu, Xiaojie, additional, Huang, Jian-Ying, additional, Huang, Tao, additional, Huggins, Catherine E., additional, Hung, Ling-Shen, additional, James, Anthony P., additional, Jayasooriya, Anura P., additional, Jia, Min, additional, Lee, Sarah D., additional, Li, Duo, additional, Li, Jiaomei, additional, Li, Kelei, additional, Liu, Yandi, additional, Ma, Wen-Jun, additional, Premarathna, Amal D., additional, Qi, Ce, additional, Shi, Yan, additional, Sinclair, Andrew J., additional, Singh, Anish, additional, Su, Kuan-Pin, additional, Sun, Jin, additional, Sunderland, Bruce, additional, Tang, Jun, additional, Tian, Yunyi, additional, Wan, Yi, additional, Wang, Ling, additional, Wang, Xiang-Yang, additional, Xiu, Li-Li, additional, Xu, Tongcheng, additional, Yang, Bo, additional, Yu, Renqiang, additional, Yuan, Gaofeng, additional, Zhang, Xiaohong, additional, Zheng, Ju-Sheng, additional, Zhuang, Zhenhuang, additional, and Zou, Zuquan, additional

Published
2022
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25. Causal Associations of Cognitive Reserve and Hierarchical Aging-Related Outcomes: A Two-Sample Mendelian Randomization Study.

Author

Li, Yanyan, Zhuang, Zhenhuang, Si, Huaxin, Liu, Qinqin, Yu, Jiaqi, Zhou, Wendie, Huang, Tao, and Wang, Cuili

Abstract

Purpose: Two-sample Mendelian randomization methods were used to explore the causal effects of cognitive reserve proxies, such as educational attainment, occupational attainment, and physical activity (PA), on biological (leukocyte telomere length), phenotypic (sarcopenia-related features), and functional (frailty index and cognitive performance) aging levels. Results: Educational attainment had a potential protective effect on the telomere length (β = 0.10, 95% CI: 0.08–0.11), sarcopenia-related features (β = 0.04–0.24, 95% CI: 0.02–0.27), frailty risk (β = −0.31, 95% CI: −0.33 to −0.28), cognitive performance (β = 0.77, 95% CI: 0.75–0.80). Occupational attainment was causally related with sarcopenia-related features (β = 0.07–0.10, 95% CI: 0.05–0.14), and cognitive performance (β = 0.30, 95% CI: 0.24–0.36). Device-measured PA was potentially associated with one sarcopenia-related feature (β = 0.14, 95% CI: 0.03–0.25). Conclusions: Our findings support the potential causality of educational attainment on biological, phenotypic, and functional aging outcomes, of occupational attainment on phenotypic and functional aging-related outcomes, and of PA on phenotypic aging-related outcomes. [ABSTRACT FROM AUTHOR]

Published
2025
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29. Associations of birth weight, plasma metabolome in adulthood and risk of type 2 diabetes.

Author

Wang, Wenxiu, Zhuang, Zhenhuang, Zhao, Yimin, Song, Zimin, Huang, Ninghao, Li, Yueying, Dong, Xue, Xiao, Wendi, and Huang, Tao

Subjects
BIRTH weight, TYPE 2 diabetes, LOW birth weight, NUCLEAR magnetic resonance, PEARSON correlation (Statistics)
Abstract

Aims: We aimed to examine the longitudinal associations of birth weight with plasma metabolites in adulthood, and further quantify the proportions of the links between birth weight and incident adult type 2 diabetes (T2D) that were mediated by plasma metabolites. Materials and Methods: A total of 62,033 participants with complete nuclear magnetic resonance metabolomics and birth weight data from the UK Biobank were included in this study. Linear regression was used to assess the associations between birth weight and metabolites. Cox regression was used to estimate hazard ratios for T2D associated with metabolites. We further performed mediation analyses to estimate the extent to which metabolites might mediate the association between birth weight and T2D risk. Results: Low birth weight was associated with the adverse metabolic responses across multiple metabolic pathways, including lipoprotein subclasses, amino acids, fatty acids (FA), and inflammation. Metabolites associated with higher birth weight tended to be associated with a lower risk of T2D (Pearson correlation coefficient: −0.85). A total of 62 metabolites showed statistically significant mediation effects in the protective association of higher birth weight and T2D risk, including large‐sized very low‐density lipoprotein particles and triglyceride concentrations as well as saturated, and monounsaturated FA and glycoprotein acetyls. Conclusions: We identified a range of metabolites that reflect the adult metabolic response to birth weight, some of which might lie on the pathway between birth weight and adult T2D risk. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Polysocial and Polygenic Risk Scores and All-Cause Dementia, Alzheimer's Disease, and Vascular Dementia.

Author

Li, Yueying, Zeng, Zhiqing, Zhuang, Zhenhuang, Zhao, Yimin, Zhang, Linjing, Wang, Wenxiu, Song, Zimin, Dong, Xue, Xiao, Wendi, Huang, Ninghao, Jia, Jinzhu, Liu, Zhonghua, Qi, Lu, and Huang, Tao

Subjects
GENETIC risk score, ALZHEIMER'S disease, VASCULAR dementia, DISEASE risk factors, DEMENTIA, SOCIAL context
Abstract

Background To establish a polysocial risk score (PsRS) incorporating various social factors for capturing the dementia risk and investigate the benefits of favorable social conditions across different genetic backgrounds. Methods This prospective cohort study comprised 345 439 participants initially free of dementia from the UK Biobank. A total of 10 social factors were summed to create a PsRS. A polygenic risk score (PRS) was constructed based on genome-wide significant variants. Results During a median follow-up of 12.5 years, we documented 4 595 incident all-cause dementia events including 2 067 Alzheimer's disease (AD) events and 1 028 vascular dementia (VD) events. Each additional PsRS was associated with a 19% increased risk of all-cause dementia (hazard ratio [HR], 1.19; 95% confidence interval [CI], 1.17 to 1.21), a 13% increased risk of AD (1.13; 1.10 to 1.16), and a 24% increased risk of VD (1.24; 1.19 to 1.29). 29% (24% to 33%) of dementia cases, 22% (14% to 29%) of AD cases, and 39% (28% to 48%) of VD cases were associated with a disadvantageous social environment. In addition, among participants at a high genetic risk, the low social risk was linked to a lower incidence rate of all-cause dementia, AD, and VD compared to those who had a high social risk, with reductions of 67.8%, 64.5%, and 84.2%, respectively. Conclusions The PsRS could be effectively used in discriminating individuals at high risk of dementia. Around a quarter of dementia events could have a connection with a disadvantageous social environment, especially for those genetically susceptible to dementia. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Polysocial and Polygenic Risk Scores and All-cause Dementia, Alzheimer's disease, and Vascular Dementia

Author

Li, Yueying, primary, Zeng, Zhiqing, additional, Zhuang, Zhenhuang, additional, Zhao, Yimin, additional, Zhang, Linjing, additional, Wang, Wenxiu, additional, Song, Zimin, additional, Dong, Xue, additional, Xiao, Wendi, additional, Huang, Ninghao, additional, Jia, Jinzhu, additional, Liu, Zhonghua, additional, Qi, Lu, additional, and Huang, Tao, additional

Published
2023
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38. Frequency of Adding Salt to Foods, Genetic Susceptibility, and Incident Type 2 Diabetes: A Prospective Cohort Study.

Author

Zhao, Yimin, Li, Yueying, Zhuang, Zhenhuang, Song, Zimin, Jia, Jinzhu, and Huang, Tao

Subjects
GENETICS of disease susceptibility, TYPE 2 diabetes, CARDIOVASCULAR diseases risk factors
Abstract

Context Excessive salt consumption is known to increase the risk of hypertension and cardiovascular disease, but the association between salt intake and incident type 2 diabetes has not been extensively researched. Objective In this study, we aimed to investigate the relationships between the frequency of adding salt to foods and incident type 2 diabetes, as well as any potential interactions with genetic predisposition. Methods We included 368 137 eligible participants, aged 37 to 73 years, from the UK Biobank. The frequency of adding salt to foods was assessed via a food frequency questionnaire. Results During a median follow-up of 12.6 years, we documented 10 981 incident type 2 diabetes cases. After adjustment for major confounders, participants who sometimes, usually, and always added salt to foods had 7% (hazard ratio [HR]: 1.07; 95% CI, 1.03-1.12), 9% (HR: 1.09; 95% CI, 1.03-1.16), 28% (HR: 1.28; 95% CI, 1.19-1.38) higher risks of developing type 2 diabetes, respectively, than those that never/rarely added salt to foods (P for trend <.001). We found these associations to be consistent across stratified and sensitivity analyses. However, we did not observe any statistically significant multiplicative or additive interactions between the frequency of adding salt to foods and genetic predisposition regarding incident type 2 diabetes. Conclusion Our findings suggest that consuming salt regularly, regardless of genetic susceptibility, may increase the risk of type 2 diabetes. Therefore, public health interventions aimed at reducing excessive salt consumption may help prevent the onset of type 2 diabetes. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Identifying Potential Causal Effects of Telomere Length on Health Outcomes: A Phenome-Wide Investigation and Mendelian Randomization Study.

Author

Wang, Wenxiu, Huang, Ninghao, Zhuang, Zhenhuang, Song, Zimin, Li, Yueying, Dong, Xue, Xiao, Wendi, Zhao, Yimin, Jia, Jinzhu, Liu, Zhonghua, Qi, Lu, and Huang, Tao

Subjects
GENETIC risk score, TELOMERES, ESSENTIAL hypertension, GENITOURINARY diseases, MYOCARDIAL infarction
Abstract

Background Telomere length has been linked to various health outcomes. To comprehensively investigate the causal effects of telomere length throughout the human disease spectrum, we conducted a phenome-wide Mendelian randomization study (MR-PheWAS) and a systematic review of MR studies. Methods We conducted a PheWAS to screen for associations between telomere length and 1 035 phenotypes in the UK Biobank (n = 408 354). The exposure of interest was the genetic risk score (GRS) of telomere length. Observed associations passing multiple testing corrections were assessed for causality by 2-sample MR analysis. A systematic review of MR studies on telomere length was performed to harmonize the published evidence and complement our findings. Results Of the 1 035 phenotypes tested, PheWAS identified 29 and 78 associations of telomere length GRS at a Bonferroni- and false discovery rate-corrected threshold; 24 and 66 distinct health outcomes were causal in the following principal MR analysis. The replication MR using data from the FinnGen study provided evidence of causal effects of genetically instrumented telomere length on 28 out of 66 outcomes, including decreased risks of 5 diseases in respiratory diseases, digestive diseases, and myocardial infarction, and increased risks of 23 diseases, mainly comprised neoplasms, diseases of the genitourinary system, and essential hypertension. A systematic review of 53 MR studies found evidence to support 16 out of the 66 outcomes. Conclusions This large-scale MR-PheWAS identified a wide range of health outcomes that were possibly affected by telomere length, and suggested that susceptibility to telomere length may vary across disease categories. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Unprocessed Red Meat and Processed Meat Consumption, Plasma Metabolome, and Risk of Ischemic Heart Disease: A Prospective Cohort Study of UK Biobank

Author

Dong, Xue, primary, Zhuang, Zhenhuang, additional, Zhao, Yimin, additional, Song, Zimin, additional, Xiao, Wendi, additional, Wang, Wenxiu, additional, Li, Yueying, additional, Huang, Ninghao, additional, Jia, Jinzhu, additional, Liu, Zhonghua, additional, Qi, Lu, additional, and Huang, Tao, additional

Published
2023
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