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333 results on '"Yan, Peijing"'

2. Associations of sleep with cardiometabolic risk factors and cardiovascular diseases: An umbrella review of observational and mendelian randomization studies

Author

Yang, Chao, Yan, Peijing, Wu, Xueyao, Zhang, Wenqiang, Cui, Huijie, Zhang, Li, Xu, Zhengxing, Peng, Shanshan, Tang, Mingshuang, Wang, Yutong, Chen, Lin, Zou, Yanqiu, Liu, Yunjie, Zhang, Min, Zhao, Xunying, Xiao, Jinyu, Xiao, Chenghan, Zhang, Ling, Yao, Yuqin, Li, Jiayuan, Liu, Zhenmi, Yang, Chunxia, Jiang, Xia, and Zhang, Ben

Published
2024
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4. Impact of gallstone disease on the risk of stroke and coronary artery disease: evidence from prospective observational studies and genetic analyses

Author

Zhang, Li, Zhang, Wenqiang, He, Lin, Cui, Huijie, Wang, Yutong, Wu, Xueyao, Zhao, Xunying, Yan, Peijing, Yang, Chao, Xiao, Changfeng, Tang, Mingshuang, Chen, Lin, Xiao, Chenghan, Zou, Yanqiu, Liu, Yunjie, Yang, Yanfang, Zhang, Ling, Yao, Yuqin, Li, Jiayuan, Liu, Zhenmi, Yang, Chunxia, Jiang, Xia, and Zhang, Ben

Published
2023
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7. Risk factors for prostate cancer: An umbrella review of prospective observational studies and mendelian randomization analyses

Author

Cui, Huijie, Zhang, Wenqiang, Zhang, Li, Qu, Yang, Xu, Zhengxing, Tan, Zhixin, Yan, Peijing, Tang, Mingshuang, Yang, Chao, Wang, Yutong, Chen, Lin, Xiao, Chenghan, Zou, Yanqiu, Liu, Yunjie, Zhang, Ling, Yang, Yanfang, Yao, Yuqin, Li, Jiayuan, Liu, Zhenmi, Yang, Chunxia, Jiang, Xia, and Zhang, Ben

Subjects
EPUB (Standard), Oncology, Experimental -- Health aspects, Prostate cancer -- Risk factors, Genetics -- Health aspects, Cancer -- Research, Type 2 diabetes -- Risk factors, Biological sciences
Abstract

Background The incidence of prostate cancer is increasing in older males globally. Age, ethnicity, and family history are identified as the well-known risk factors for prostate cancer, but few modifiable factors have been firmly established. The objective of this study was to identify and evaluate various factors modifying the risk of prostate cancer reported in meta-analyses of prospective observational studies and mendelian randomization (MR) analyses. Methods and findings We searched PubMed, Embase, and Web of Science from the inception to January 10, 2022, updated on September 9, 2023, to identify meta-analyses and MR studies on prostate cancer. Eligibility criteria for meta-analyses were (1) meta-analyses including prospective observational studies or studies that declared outcome-free at baseline; (2) evaluating the factors of any category associated with prostate cancer incidence; and (3) providing effect estimates for further data synthesis. Similar criteria were applied to MR studies. Meta-analysis was repeated using the random-effects inverse-variance model with DerSimonian-Laird method. Quality assessment was then conducted for included meta-analyses using AMSTAR-2 tool and for MR studies using STROBE-MR and assumption evaluation. Subsequent evidence grading criteria for significant associations in meta-analyses contained sample size, P values and 95% confidence intervals, 95% prediction intervals, heterogeneity, and publication bias, assigning 4 evidence grades (convincing, highly suggestive, suggestive, or weak). Significant associations in MR studies were graded as robust, probable, suggestive, or insufficient considering P values and concordance of effect directions. Finally, 92 selected from 411 meta-analyses and 64 selected from 118 MR studies were included after excluding the overlapping and outdated studies which were published earlier and contained fewer participants or fewer instrument variables for the same exposure. In total, 123 observational associations (45 significant and 78 null) and 145 causal associations (55 significant and 90 null) were categorized into lifestyle; diet and nutrition; anthropometric indices; biomarkers; clinical variables, diseases, and treatments; and environmental factors. Concerning evidence grading on significant associations, there were 5 highly suggestive, 36 suggestive, and 4 weak associations in meta-analyses, and 10 robust, 24 probable, 4 suggestive, and 17 insufficient causal associations in MR studies. Twenty-six overlapping factors between meta-analyses and MR studies were identified, with consistent significant effects found for physical activity (PA) (occupational PA in meta: OR = 0.87, 95% CI: 0.80, 0.94; accelerator-measured PA in MR: OR = 0.49, 95% CI: 0.33, 0.72), height (meta: OR = 1.09, 95% CI: 1.06, 1.12; MR: OR = 1.07, 95% CI: 1.01, 1.15, for aggressive prostate cancer), and smoking (current smoking in meta: OR = 0.74, 95% CI: 0.68, 0.80; smoking initiation in MR: OR = 0.91, 95% CI: 0.86, 0.97). Methodological limitation is that the evidence grading criteria could be expanded by considering more indices. Conclusions In this large-scale study, we summarized the associations of various factors with prostate cancer risk and provided comparisons between observational associations by meta-analysis and genetically estimated causality by MR analyses. In the absence of convincing overlapping evidence based on the existing literature, no robust associations were identified, but some effects were observed for height, physical activity, and smoking., Author(s): Huijie Cui 1, Wenqiang Zhang 1, Li Zhang 1, Yang Qu 1, Zhengxing Xu 1, Zhixin Tan 1, Peijing Yan 1, Mingshuang Tang 1, Chao Yang 1, Yutong Wang [...]

Published
2024
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24. Observational and genetic analyses clarify the relationship between type 2 diabetes mellitus and gallstone disease

Author

Yan, Peijing, primary, Zhang, Li, additional, Yang, Chao, additional, Zhang, Wenqiang, additional, Wang, Yutong, additional, Zhang, Min, additional, Cui, Huijie, additional, Tang, Mingshuang, additional, Chen, Lin, additional, Wu, Xueyao, additional, Zhao, Xunying, additional, Zou, Yanqiu, additional, Xiao, Jinyu, additional, Liu, Yunjie, additional, Xiao, Chenghan, additional, Yang, Yanfang, additional, Zhang, Ling, additional, Yao, Yuqin, additional, Li, Jiayuan, additional, Liu, Zhenmi, additional, Yang, Chunxia, additional, Jiang, Xia, additional, and Zhang, Ben, additional

Published
2024
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25. Bidirectional relationship between type 2 diabetes mellitus and coronary artery disease: Prospective cohort study and genetic analyses

Author

Zhang, Wenqiang, primary, Zhang, Li, additional, Xiao, Chenghan, additional, Wu, Xueyao, additional, Cui, Huijie, additional, Yang, Chao, additional, Yan, Peijing, additional, Tang, Mingshuang, additional, Wang, Yutong, additional, Chen, Lin, additional, Liu, Yunjie, additional, Zou, Yanqiu, additional, Zhang, Ling, additional, Yang, Chunxia, additional, Yao, Yuqin, additional, Li, Jiayuan, additional, Liu, Zhenmi, additional, Jiang, Xia, additional, and Zhang, Ben, additional

Published
2023
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29. Using human genetics to understand the phenotypic association between chronotype and breast cancer.

Author

Wu, Xueyao, Yang, Chao, Zou, Yanqiu, Jones, Samuel E., Zhao, Xunying, Zhang, Li, Han, Zhitong, Hao, Yu, Xiao, Jinyu, Xiao, Chenghan, Zhang, Wenqiang, Yan, Peijing, Cui, Huijie, Tang, Mingshuang, Wang, Yutong, Chen, Lin, Zhang, Ling, Yao, Yuqin, Liu, Zhenmi, and Li, Jiayuan

Subjects
CHRONOTYPE, BREAST cancer, GENOME-wide association studies, GENETIC correlations, HUMAN genetics, PHENOTYPES
Abstract

Summary: Little is known regarding the shared genetic influences underlying the observed phenotypic association between chronotype and breast cancer in women. Leveraging summary statistics from the hitherto largest genome‐wide association study conducted in each trait, we investigated the genetic correlation, pleiotropic loci, and causal relationship of chronotype with overall breast cancer, and with its subtypes defined by the status of oestrogen receptor. We identified a negative genomic correlation between chronotype and overall breast cancer (rg = −0.06, p = 3.00 × 10−4), consistent across oestrogen receptor‐positive (rg = −0.05, p = 3.30 × 10−3) and oestrogen receptor‐negative subtypes (rg = −0.05, p = 1.11 × 10−2). Five specific genomic regions were further identified as contributing a significant local genetic correlation. Cross‐trait meta‐analysis identified 78 loci shared between chronotype and breast cancer, of which 23 were novel. Transcriptome‐wide association study revealed 13 shared genes, targeting tissues of the nervous, cardiovascular, digestive, and exocrine/endocrine systems. Mendelian randomisation demonstrated a significantly reduced risk of overall breast cancer (odds ratio 0.89, 95% confidence interval 0.83–0.94; p = 1.30 × 10−4) for genetically predicted morning chronotype. No reverse causality was found. Our work demonstrates an intrinsic link underlying chronotype and breast cancer, which may provide clues to inform management of sleep habits to improve female health. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Epidemiological and Genetic Analyses of Schizophrenia and Breast Cancer.

Author

Tang, Mingshuang, Wu, Xueyao, Zhang, Wenqiang, Cui, Huijie, Zhang, Li, Yan, Peijing, Yang, Chao, Wang, Yutong, Chen, Lin, Xiao, Chenghan, Liu, Yunjie, Zou, Yanqiu, Yang, Chunxia, Zhang, Ling, Yao, Yuqin, Liu, Zhenmi, Li, Jiayuan, Jiang, Xia, and Zhang, Ben

Subjects
BREAST tumor risk factors, GENETICS of schizophrenia, GENOMICS, BREAST tumors, SCIENTIFIC observation, SCHIZOPHRENIA, META-analysis, DESCRIPTIVE statistics, LONGITUDINAL method, CONFIDENCE intervals, PHENOTYPES, GENETICS
Abstract

Background and Hypothesis While the phenotypic association between schizophrenia and breast cancer has been observed, the underlying intrinsic link is not adequately understood. We aim to conduct a comprehensive interrogation on both phenotypic and genetic relationships between schizophrenia and breast cancer. Study Design We first used data from UK Biobank to evaluate a phenotypic association and performed an updated meta-analysis incorporating existing cohort studies. We then leveraged genomic data to explore the shared genetic architecture through a genome-wide cross-trait design. Study Results Incorporating results of our observational analysis, meta-analysis of cohort studies suggested a significantly increased incidence of breast cancer among women with schizophrenia (RR = 1.30, 95% CIs = 1.14–1.48). A positive genomic correlation between schizophrenia and overall breast cancer was observed (⁠ r g = 0.12, P = 1.80 × 10−10), consistent across ER+ (⁠ r g   = 0.10, P = 5.74 × 10−7) and ER– subtypes (⁠ r g = 0.09, P =.003). This was further corroborated by four local signals. Cross-trait meta-analysis identified 23 pleiotropic loci between schizophrenia and breast cancer, including five novel loci. Gene-based analysis revealed 27 shared genes. Mendelian randomization demonstrated a significantly increased risk of overall breast cancer (OR = 1.07, P = 4.81 × 10−10) for genetically predisposed schizophrenia, which remained robust in subgroup analysis (ER+: OR = 1.10, P = 7.26 × 10−12; ER–: OR = 1.08, P = 3.50 × 10−6). No mediation effect and reverse causality was found. Conclusions Our study demonstrates an intrinsic link underlying schizophrenia and breast cancer, which may inform tailored screening and management of breast cancer in schizophrenia. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Additional Evidence for the Relationship between Type 2 Diabetes Mellitus and Stroke through Observational and Genetic Analyses

Author

Zhang, Wenqiang, primary, Zhang, Li, primary, Zhu, Jingwei, primary, Xiao, Chenghan, primary, Cui, Huijie, primary, Yang, Chao, primary, Yan, Peijing, primary, Tang, Mingshuang, primary, Wang, Yutong, primary, Chen, Lin, primary, Liu, Yunjie, primary, Zou, Yanqiu, primary, Wu, Xueyao, primary, Zhang, Ling, primary, Yang, Chunxia, primary, Yao, Yuqin, primary, Li, Jiayuan, primary, Liu, Zhenmi, primary, Jiang, Xia, primary, and Zhang, Ben, primary

Published
2023
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37. The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study

Author

Long, Feiwu, primary, Xiao, Chenghan, additional, Cui, Huijie, additional, Wang, Wei, additional, Jiang, Zongze, additional, Tang, Mingshuang, additional, Zhang, Wenqiang, additional, Liu, Yunjie, additional, Xiang, Rong, additional, Zhang, Li, additional, Zhao, Xunying, additional, Yang, Chao, additional, Yan, Peijing, additional, Wu, Xueyao, additional, Wang, Yutong, additional, Zhou, Yanqiu, additional, Lu, Ran, additional, Chen, Yulin, additional, Li, Jiayuan, additional, Jiang, Xia, additional, Fan, Chuanwen, additional, and Zhang, Ben, additional

Published
2023
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38. Additional Evidence for the Relationship Between Type 2 Diabetes and Stroke Through Observational and Genetic Analyses

Author

Zhang, Wenqiang, primary, Zhang, Li, additional, Zhu, Jingwei, additional, Xiao, Chenghan, additional, Cui, Huijie, additional, Yang, Chao, additional, Yan, Peijing, additional, Tang, Mingshuang, additional, Wang, Yutong, additional, Chen, Lin, additional, Liu, Yunjie, additional, Zou, Yanqiu, additional, Wu, Xueyao, additional, Zhang, Ling, additional, Yang, Chunxia, additional, Yao, Yuqin, additional, Li, Jiayuan, additional, Liu, Zhenmi, additional, Jiang, Xia, additional, and Zhang, Ben, additional

Published
2023
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39. Epidemiological and Genetic Analyses of Schizophrenia and Breast Cancer

Author

Tang, Mingshuang, primary, Wu, Xueyao, additional, Zhang, Wenqiang, additional, Cui, Huijie, additional, Zhang, Li, additional, Yan, Peijing, additional, Yang, Chao, additional, Wang, Yutong, additional, Chen, Lin, additional, Xiao, Chenghan, additional, Liu, Yunjie, additional, Zou, Yanqiu, additional, Yang, Chunxia, additional, Zhang, Ling, additional, Yao, Yuqin, additional, Liu, Zhenmi, additional, Li, Jiayuan, additional, Jiang, Xia, additional, and Zhang, Ben, additional

Published
2023
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47. Epidemiological and genetic evidence for the relationship between ABO blood group and human cancer

Author

Cui, Huijie, primary, Qu, Yang, additional, Zhang, Li, additional, Zhang, Wenqiang, additional, Yan, Peijing, additional, Yang, Chao, additional, Zhang, Min, additional, Bai, Ye, additional, Tang, Mingshuang, additional, Wang, Yutong, additional, Chen, Lin, additional, Xiao, Chenghan, additional, Zou, Yanqiu, additional, Liu, Yunjie, additional, Zhang, Ling, additional, Yang, Yanfang, additional, Yao, Yuqin, additional, Li, Jiayuan, additional, Liu, Zhenmi, additional, Yang, Chunxia, additional, Jiang, Xia, additional, and Zhang, Ben, additional

Published
2023
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