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26 results on '"Said, Saredo"'

1. Risk prediction of ischemic heart disease using plasma proteomics, conventional risk factors and polygenic scores in Chinese and European adults

Author

Mazidi, Mohsen, Wright, Neil, Yao, Pang, Kartsonaki, Christiana, Millwood, Iona Y., Fry, Hannah, Said, Saredo, Pozarickij, Alfred, Pei, Pei, Chen, Yiping, Wang, Baihan, Avery, Daniel, Du, Huaidong, Schmidt, Dan Valle, Yang, Ling, Lv, Jun, Yu, Canqing, Sun, DianJianYi, Chen, Junshi, Hill, Michael, Peto, Richard, Collins, Rory, Bennett, Derrick A., Walters, Robin G., Li, Liming, Clarke, Robert, and Chen, Zhengming

Published
2024
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2. Proteo-genomic analyses in relatively lean Chinese adults identify proteins and pathways that affect general and central adiposity levels

Author

Iona, Andri, Yao, Pang, Pozarickij, Alfred, Kartsonaki, Christiana, Said, Saredo, Wright, Neil, Lin, Kuang, Millwood, Iona, Fry, Hannah, Mazidi, Mohsen, Wang, Baihan, Chen, Yiping, Du, Huaidong, Yang, Ling, Avery, Daniel, Schmidt, Dan, Sun, Dianjianyi, Pei, Pei, Lv, Jun, Yu, Canqing, Hill, Michael, Chen, Junshi, Bragg, Fiona, Bennett, Derrick, Walters, Robin, Li, Liming, Clarke, Robert, and Chen, Zhengming

Published
2024
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3. Conventional and genetic associations of adiposity with 1463 proteins in relatively lean Chinese adults

Author

Yao, Pang, Iona, Andri, Kartsonaki, Christiana, Said, Saredo, Wright, Neil, Lin, Kuang, Pozarickij, Alfred, Millwood, Iona, Fry, Hannah, Mazidi, Mohsen, Chen, Yiping, Du, Huaidong, Bennett, Derrick, Avery, Daniel, Schmidt, Dan, Pei, Pei, Lv, Jun, Yu, Canqing, Hill, Michael, Chen, Junshi, Peto, Richard, Walters, Robin, Collins, Rory, Li, Liming, Clarke, Robert, and Chen, Zhengming

Published
2023
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4. One-size-fits-all versus risk-category-based screening interval strategies for cardiovascular disease prevention in Chinese adults: a prospective cohort study

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Belbasis, Lazaros, Boxall, Ruth, Chan, Ka Hung, Chen, Yiping, Clarke, Charlotte, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Rahmati, Maryanm, Ryder, Paul, Said, Saredo, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Pan, Lang, 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, Fang Liu, Jian Su., 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, Sun, Zhijia, Ma, Yu, and Pang, Yuanjie

Published
2024
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5. Association between health insurance cost-sharing and choice of hospital tier for cardiovascular diseases in China: a prospective cohort study

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Wang, Chen, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Boxall, Ruth, Chan, Kahung, Chen, Yiping, Clarke, Johnathan, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozaricki, Alfred, Ryder, Paul, Said, Saredo, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Chen, Naying, Liu, Duo, Tang, Zhenzhu, Chen, Ningyu, Jiang, Qilian, Lan, Jian, Li, Mingqiang, Liu, Yun, Meng, Fanwen, Meng, Jinhuai, Pan, Rong, Qin, Yulu, Wang, Ping, Wang, Sisi, Wei, Liuping, Zhou, Liyuan, Dong, Caixia, Ge, Pengfei, Ren, Xiaolan, Li, Zhongxiao, Mao, Enke, Wang, Tao, Zhang, Hui, Zhang, Xi, Chen, Jinyan, Hu, Ximin, Wang, Xiaohuan, Guo, Zhendong, Li, Huimei, Li, Yilei, Weng, Min, Wu, Shukuan, Yan, Shichun, Zou, Mingyuan, Zhou, Xue, Guo, Ziyan, Kang, Quan, Li, Yanjie, Yu, Bo, Xu, Qinai, Chang, Liang, Fan, Lei, Feng, Shixian, Zhang, Ding, Zhou, Gang, Gao, Yulian, He, Tianyou, He, Pan, Hu, Chen, Sun, Huarong, Zhang, Xukui, Chen, Biyun, Fu, Zhongxi, Huang, Yuelong, Liu, Huilin, Xu, Qiaohua, Yin, Li, Long, Huajun, Xu, Xin, Zhang, Hao, Zhang, Libo, Su, Jian, Tao, Ran, Wu, Ming, Yang, Jie, Zhou, Jinyi, Zhou, Yonglin, Hu, Yihe, Hua, Yujie, Jin, Jianrong, Liu, Fang, Liu, Jingchao, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Jun, Cheng, Liang, Du, Ranran, Gao, Ruqin, Li, Feifei, Li, Shanpeng, Liu, Yongmei, Ning, Feng, Pang, Zengchang, Sun, Xiaohui, Tian, Xiaocao, Wang, Shaojie, Zhai, Yaoming, Zhang, Hua, Hou, Wei, Lv, Silu, Wang, Junzheng, Chen, Xiaofang, Wu, Xianping, Zhang, Ningmei, Chang, Xiaoyu, Li, Jianguo, Liu, Jiaqiu, Luo, Guojin, Sun, Qiang, Zhong, Xunfu, Gong, Weiwei, Hu, Ruying, Wang, Hao, Wang, Meng, Yu, Min, Chen, Lingli, Gu, Qijun, Pan, Dongxia, Wang, Chunmei, Xie, Kaixu, Zhang, Xiaoyi, Chen, Hongyuan, Liu, Liyang, Gou, Haiyan, Wang, Xun, Ding, Jing, Zhang, Ning, Mao, Yueshi, Zhou, Shanshan, Jin, Lirong, Cheng, Xin, Lu, Yun, Chen, Li, Hao, Zilong, Xing, Xiaona, Wang, Lei, Ju, Naixin, Mao, Yiting, Li, Shuya, Du, Peng, Wang, Deren, Sun, Xiaojia, You, Shihao, Wang, Weizhi, Zhu, Yanmei, Li, Xiaojiu, Dong, Yi, Levy, Muriel, Buckell, John, Wu, Nina, Yip, Winnie, and Mihaylova, Borislava

Published
2024
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6. 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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8. A wide landscape of morbidity and mortality risk associated with marital status in 0.5 million Chinese men and women: a prospective cohort study

Author

Chen, Junshi, Chen (PI, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li (PI, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Burgess, Sue, Chan, Ka Hung, Chang, Yumei, Chen, Yiping, Chen, Zhengming, 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, 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, Xiao, Meng, Li, Aolin, Wang, Yueqing, Pang, Yuanjie, Li, Liming, and Sun, Dianjianyi

Published
2024
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9. Multi-omics approach to explore the effects of chronic low-grade inflammation marked by C-reactive protein

Author

Said, Saredo, Tzoulaki, Ioanna, Dehghan, Abbas, and Pazoki, Raha

Abstract

Chronic low-grade inflammation is linked to a multitude of chronic diseases and conditions. However, chronic low-grade inflammation has not been fully characterised, as there remains conflicting and inconclusive evidence from epidemiological studies. My thesis aimed to explore chronic inflammation using a multi-omic approach. Data from the UK Biobank and Airwave cohort was used. Within this thesis I report genome-wide association on C-reactive protein (CRP), a marker of systemic inflammation, in UK Biobank participants (N = 427,367) and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (total N= 575,531). I identify 266 independent loci, of which 211 were not previously reported. Gene-set analysis highlighted 42 gene sets associated with CRP levels (p ≤ 3.2 x 10-6) and tissue expression analysis indicated a strong association of CRP related genes to the liver and whole blood gene expression. Phenome-wide association identified 27 clinical outcomes associated with genetically determined CRP, including five phenotypes of the respiratory system, nine of the circulatory system, three musculoskeletal, three sense organs, one mental disorder, five endocrine/metabolic, and lastly one genitourinary. Mendelian randomisation analyses of chronic diseases supported a causal association with several outcomes, such as schizophrenia (beta (β) = -0.074, 95%, p = 7.83 x 10-6), chronic airway obstruction (β=0.330, p=7.94 x 10-4) and breast cancer (β = 0.044, p = 2.02 x 10-5). Metabolome-wide causal association MR analyses tested CRP associated genetic variants with 123 NMR platform measured metabolites and identified five with convincing evidence, including citrate (β=-0.13, p=1.6 x 10-5) and phenylalanine (β=0.13, p=1.3 x 10-5). In combination these results provides insight into the genomic, phenotypic, metabolomic profile, and functional properties of CRP proxied systemic chronic low-grade inflammation. Results provide novel findings, which can be investigated further to understand the underlying molecular pathways of disease afflicted by systemic chronic low-grade inflammation. As CRP proxied chronic inflammation is modifiable, this may be of interest for therapeutic intervention.

Published
2021
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10. Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes

Author

Pazoki, Raha, Vujkovic, Marijana, Elliott, Joshua, Evangelou, Evangelos, Gill, Dipender, Ghanbari, Mohsen, van der Most, Peter J, Pinto, Rui Climaco, Wielscher, Matthias, Farlik, Matthias, Zuber, Verena, de Knegt, Robert J, Snieder, Harold, Uitterlinden, André G, Lynch, Julie A, Jiang, Xiyun, Said, Saredo, Kaplan, David E, Lee, Kyung Min, Serper, Marina, Carr, Rotonya M, Tsao, Philip S, Atkinson, Stephen R, Dehghan, Abbas, Tzoulaki, Ioanna, Ikram, M Arfan, Herzig, Karl-Heinz, Järvelin, Marjo-Riitta, Alizadeh, Behrooz Z, O’Donnell, Christopher J, Saleheen, Danish, Voight, Benjamin F, Chang, Kyong-Mi, Thursz, Mark R, and Elliott, Paul

Subjects
Cardiovascular, Digestive Diseases, Heart Disease, Liver Disease, Genetics, 2.1 Biological and endogenous factors, Aetiology, Oral and gastrointestinal, Metabolic and endocrine, Good Health and Well Being, Aged, Alanine Transaminase, Alkaline Phosphatase, Cardiovascular Diseases, Cohort Studies, Databases, Genetic, Female, Gene Expression Regulation, Enzymologic, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Humans, Insulin Resistance, Lipid Metabolism, Liver, Male, Mendelian Randomization Analysis, Metabolic Diseases, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, White People, gamma-Glutamyltransferase, Lifelines Cohort Study, VA Million Veteran Program
Abstract

Serum concentration of hepatic enzymes are linked to liver dysfunction, metabolic and cardiovascular diseases. We perform genetic analysis on serum levels of alanine transaminase (ALT), alkaline phosphatase (ALP) and gamma-glutamyl transferase (GGT) using data on 437,438 UK Biobank participants. Replication in 315,572 individuals from European descent from the Million Veteran Program, Rotterdam Study and Lifeline study confirms 517 liver enzyme SNPs. Genetic risk score analysis using the identified SNPs is strongly associated with serum activity of liver enzymes in two independent European descent studies (The Airwave Health Monitoring study and the Northern Finland Birth Cohort 1966). Gene-set enrichment analysis using the identified SNPs highlights involvement in liver development and function, lipid metabolism, insulin resistance, and vascular formation. Mendelian randomization analysis shows association of liver enzyme variants with coronary heart disease and ischemic stroke. Genetic risk score for elevated serum activity of liver enzymes is associated with higher fat percentage of body, trunk, and liver and body mass index. Our study highlights the role of molecular pathways regulated by the liver in metabolic disorders and cardiovascular disease.

Published
2021

11. Long-Term Exposure to Fine Particulate Matter and Incidence of Esophageal Cancer: A Prospective Study of 0.5 Million Chinese Adults

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Peto, Richard, Walters, 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, Gilbert, Simon, Hacker, Alex, 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, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Lv, Jun, 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, Sun, Dong, Liu, Cong, Zhu, Yunqing, Sun, Dianjianyi, Pang, Yuanjie, Meng, Xia, Liu, Yang, and Kan, Haidong

Published
2023
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12. Tobacco smoking and risks of more than 470 diseases in China: a prospective cohort study

Author

Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Burgess, Sushila, Chan, Peter Ka Hung, Chen, Yiping, Chen, Zhengming, Clarke, Johnathan, Clarke, Robert, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Hill, Mike, Im, Becky Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Mazidi, Mohsen, Millwood, Iona Y, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Ryder, Paul, Said, Saredo, Schmidt, Dan, Sherliker, Paul, Stevens, Rebecca, Turnbull, Iain, Walters, Robin, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Guo, Yu, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Lv, Jun, Pei, Pei, Yu, Canqing, Chen, Junshi, Collins, Rory, Li, Liming, Wang, Chen, Peto, Richard, Chen, Naying, Liu, Duo, Tang, Zhenzhu, Chen, Ningyu, Jiang, Qilian, Lan, Jian, Li, Mingqiang, Liu, Yun, Meng, Fanwen, Meng, Jinhuai, Pan, Rong, Qin, Yulu, Wang, Ping, Wang, Sisi, Wei, Liuping, Zhou, Liyuan, Dong, Caixia, Ge, Pengfei, Ren, Xiaolan, Li, Zhongxiao, Mao, Enke, Wang, Tao, Zhang, Hui, Zhang, Xi, Chen, Jinyan, Hu, Ximin, Wang, Xiaohuan, Guo, Zhendong, Li, Huimei, Li, Yilei, Weng, Min, Wu, Shukuan, Yan, Shichun, Zou, Mingyuan, Zhou, Xue, Guo, Ziyan, Kang, Quan, Li, Yanjie, Yu, Bo, Xu, Qinai, Chang, Liang, Fan, Lei, Feng, Shixian, Zhang, Ding, Zhou, Gang, Gao, Yulian, He, Tianyou, He, Pan, Hu, Chen, Sun, Huarong, Zhang, Xukui, Chen, Biyun, Fu, Zhongxi, Huang, Yuelong, Liu, Huilin, Xu, Qiaohua, Yin, Li, Long, Huajun, Xu, Xin, Zhang, Hao, Zhang, Libo, Su, Jian, Tao, Ran, Wu, Ming, Yang, Jie, Zhou, Jinyi, Zhou, Yonglin, Hu, Yihe, Hua, Yujie, Jin, Jianrong, Liu, Fang, Liu, Jingchao, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Jun, Cheng, Liang, Du, Ranran, Gao, Ruqin, Li, Feifei, Li, Shanpeng, Liu, Yongmei, Ning, Feng, Pang, Zengchang, Sun, Xiaohui, Tian, Xiaocao, Wang, Shaojie, Zhai, Yaoming, Zhang, Hua, Hou, Wei, Lv, Silu, Wang, Junzheng, Chen, Xiaofang, Wu, Xianping, Zhang, Ningmei, Zhou, Weiwei, Li, Jianguo, Liu, Jiaqiu, Luo, Guojin, Sun, Qiang, Zhong, Xunfu, Gong, Weiwei, Hu, Ruying, Wang, Hao, Wang, Meng, Yu, Min, Chen, Lingli, Gu, Qijun, Pan, Dongxia, Wang, Chunmei, Xie, Kaixu, Zhang, Xiaoyi, Chan, Ka Hung, and Xiao, Dan

Published
2022
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16. Proteomic analyses in diverse populations improved risk prediction and identified new drug targets for type 2 diabetes

Author

Yao, Pang, primary, Iona, Andri, primary, Pozarickij, Alfred, primary, Said, Saredo, primary, Wright, Neil, primary, Lin, Kuang, primary, Millwood, Iona, primary, Fry, Hannah, primary, Kartsonaki, Christiana, primary, Mazidi, Mohsen, primary, Chen, Yiping, primary, Bragg, Fiona, primary, Liu, Bowen, primary, Yang, Ling, primary, Liu, Junxi, primary, Avery, Daniel, primary, Schmidt, Dan, primary, Sun, Dianjianyi, primary, Pei, Pei, primary, Lv, Jun, primary, Yu, Canqing, primary, Hill, Michael, primary, Bennett, Derrick, primary, Walters, Robin, primary, Li, Liming, primary, Clarke, Robert, primary, Du, Huaidong, primary, and Chen, Zhengming, primary

Published
2024
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17. Association between health insurance cost-sharing and choice of hospital tier for cardiovascular diseases in China: a prospective cohort study

Author

Levy, Muriel, primary, Buckell, John, additional, Clarke, Robert, additional, Wu, Nina, additional, Pei, Pei, additional, Sun, Dianjianyi, additional, Avery, Daniel, additional, Zhang, Hua, additional, Lv, Jun, additional, Yu, Canqing, additional, Li, Liming, additional, Chen, Zhengming, additional, Yip, Winnie, additional, Chen, Yiping, additional, Mihaylova, Borislava, additional, Chen, Junshi, additional, Collins, Rory, additional, Wang, Chen, additional, Peto, Richard, additional, Walters, Robin, additional, Barnard, Maxim, additional, Bennett, Derrick, additional, Boxall, Ruth, additional, Chan, Kahung, additional, Clarke, Johnathan, additional, Du, Huaidong, additional, Mohamed, Ahmed Edris, additional, Fry, Hannah, additional, Gilbert, Simon, additional, Im, Pek Kei, additional, Iona, Andri, additional, Kakkoura, Maria, additional, Kartsonaki, Christiana, additional, Lam, Hubert, additional, Lin, Kuang, additional, Liu, James, additional, Mazidi, Mohsen, additional, Millwood, Iona, additional, Morris, Sam, additional, Nie, Qunhua, additional, Pozaricki, Alfred, additional, Ryder, Paul, additional, Said, Saredo, additional, Schmidt, Dan, additional, Stevens, Becky, additional, Turnbull, Iain, additional, Wang, Baihan, additional, Wang, Lin, additional, Wright, Neil, additional, Yang, Ling, additional, Yang, Xiaoming, additional, Yao, Pang, additional, Han, Xiao, additional, Hou, Can, additional, Xia, Qingmei, additional, Liu, Chao, additional, Chen, Naying, additional, Liu, Duo, additional, Tang, Zhenzhu, additional, Chen, Ningyu, additional, Jiang, Qilian, additional, Lan, Jian, additional, Li, Mingqiang, additional, Liu, Yun, additional, Meng, Fanwen, additional, Meng, Jinhuai, additional, Pan, Rong, additional, Qin, Yulu, additional, Wang, Ping, additional, Wang, Sisi, additional, Wei, Liuping, additional, Zhou, Liyuan, additional, Dong, Caixia, additional, Ge, Pengfei, additional, Ren, Xiaolan, additional, Li, Zhongxiao, additional, Mao, Enke, additional, Wang, Tao, additional, Zhang, Hui, additional, Zhang, Xi, additional, Chen, Jinyan, additional, Hu, Ximin, additional, Wang, Xiaohuan, additional, Guo, Zhendong, additional, Li, Huimei, additional, Li, Yilei, additional, Weng, Min, additional, Wu, Shukuan, additional, Yan, Shichun, additional, Zou, Mingyuan, additional, Zhou, Xue, additional, Guo, Ziyan, additional, Kang, Quan, additional, Li, Yanjie, additional, Yu, Bo, additional, Xu, Qinai, additional, Chang, Liang, additional, Fan, Lei, additional, Feng, Shixian, additional, Zhang, Ding, additional, Zhou, Gang, additional, Gao, Yulian, additional, He, Tianyou, additional, He, Pan, additional, Hu, Chen, additional, Sun, Huarong, additional, Zhang, Xukui, additional, Chen, Biyun, additional, Fu, Zhongxi, additional, Huang, Yuelong, additional, Liu, Huilin, additional, Xu, Qiaohua, additional, Yin, Li, additional, Long, Huajun, additional, Xu, Xin, additional, Zhang, Hao, additional, Zhang, Libo, additional, Su, Jian, additional, Tao, Ran, additional, Wu, Ming, additional, Yang, Jie, additional, Zhou, Jinyi, additional, Zhou, Yonglin, additional, Hu, Yihe, additional, Hua, Yujie, additional, Jin, Jianrong, additional, Liu, Fang, additional, Liu, Jingchao, additional, Lu, Yan, additional, Ma, Liangcai, additional, Tang, Aiyu, additional, Zhang, Jun, additional, Cheng, Liang, additional, Du, Ranran, additional, Gao, Ruqin, additional, Li, Feifei, additional, Li, Shanpeng, additional, Liu, Yongmei, additional, Ning, Feng, additional, Pang, Zengchang, additional, Sun, Xiaohui, additional, Tian, Xiaocao, additional, Wang, Shaojie, additional, Zhai, Yaoming, additional, Hou, Wei, additional, Lv, Silu, additional, Wang, Junzheng, additional, Chen, Xiaofang, additional, Wu, Xianping, additional, Zhang, Ningmei, additional, Chang, Xiaoyu, additional, Li, Jianguo, additional, Liu, Jiaqiu, additional, Luo, Guojin, additional, Sun, Qiang, additional, Zhong, Xunfu, additional, Gong, Weiwei, additional, Hu, Ruying, additional, Wang, Hao, additional, Wang, Meng, additional, Yu, Min, additional, Chen, Lingli, additional, Gu, Qijun, additional, Pan, Dongxia, additional, Wang, Chunmei, additional, Xie, Kaixu, additional, Zhang, Xiaoyi, additional, Chen, Hongyuan, additional, Liu, Liyang, additional, Gou, Haiyan, additional, Wang, Xun, additional, Ding, Jing, additional, Zhang, Ning, additional, Mao, Yueshi, additional, Zhou, Shanshan, additional, Jin, Lirong, additional, Cheng, Xin, additional, Lu, Yun, additional, Chen, Li, additional, Hao, Zilong, additional, Xing, Xiaona, additional, Wang, Lei, additional, Ju, Naixin, additional, Mao, Yiting, additional, Li, Shuya, additional, Du, Peng, additional, Wang, Deren, additional, Sun, Xiaojia, additional, You, Shihao, additional, Wang, Weizhi, additional, Zhu, Yanmei, additional, Li, Xiaojiu, additional, and Dong, Yi, additional

Published
2024
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18. 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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19. Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes.

Author

Yao, Pang, Iona, Andri, Pozarickij, Alfred, Said, Saredo, Wright, Neil, Lin, Kuang, Millwood, Iona, Fry, Hannah, Kartsonaki, Christiana, Mazidi, Mohsen, Chen, Yiping, Bragg, Fiona, Liu, Bowen, Yang, Ling, Liu, Junxi, Avery, Daniel, Schmidt, Dan, Sun, Dianjianyi, Pei, Pei, and Lv, Jun

Subjects
TYPE 2 diabetes, DRUG target, PROTEOMICS, LOCUS (Genetics), GENOME-wide association studies, FALSE memory syndrome
Abstract

OBJECTIVE: Integrated analyses of plasma proteomics and genetic data in prospective studies can help assess the causal relevance of proteins, improve risk prediction, and discover novel protein drug targets for type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: We measured plasma levels of 2,923 proteins using Olink Explore among ∼2,000 randomly selected participants from China Kadoorie Biobank (CKB) without prior diabetes at baseline. Cox regression assessed associations of individual protein with incident T2D (n = 92 cases). Proteomic-based risk models were developed with discrimination, calibration, reclassification assessed using area under the curve (AUC), calibration plots, and net reclassification index (NRI), respectively. Two-sample Mendelian randomization (MR) analyses using cis -protein quantitative trait loci identified in a genome-wide association study of CKB and UK Biobank for specific proteins were conducted to assess their causal relevance for T2D, along with colocalization analyses to examine shared causal variants between proteins and T2D. RESULTS: Overall, 33 proteins were significantly associated (false discovery rate <0.05) with risk of incident T2D, including IGFBP1, GHR, and amylase. The addition of these 33 proteins to a conventional risk prediction model improved AUC from 0.77 (0.73–0.82) to 0.88 (0.85–0.91) and NRI by 38%, with predicted risks well calibrated with observed risks. MR analyses provided support for the causal relevance for T2D of ENTR1, LPL, and PON3, with replication of ENTR1 and LPL in Europeans using different genetic instruments. Moreover, colocalization analyses showed strong evidence (pH4 > 0.6) of shared genetic variants of LPL and PON3 with T2D. CONCLUSIONS: Proteomic analyses in Chinese adults identified novel associations of multiple proteins with T2D with strong genetic evidence supporting their causal relevance and potential as novel drug targets for prevention and treatment of T2D. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Ancestry diversity in the genetic determinants of the human plasma proteome and associated new drug targets

Author

Said, Saredo, primary, Pozarickij, Alfred, additional, Lin, Kuang, additional, Morris, Sam, additional, Kartsonaki, Christiana, additional, Wright, Neil, additional, Fry, Hannah, additional, Chen, Yiping, additional, Du, Huaidong, additional, Bennett, Derrick, additional, Avery, Daniel, additional, Schmidt, Dan Valle, additional, Li, Liming, additional, Lv, Jun, additional, Yu, Canqing, additional, Sun, Dianjianyi, additional, Pei, Pei, additional, Chen, Junshi, additional, Hill, Michael, additional, Peto, Richard, additional, Collins, Rory, additional, Clarke, Robert, additional, Millwood, Iona, additional, Chen, Zhengming, additional, and Walters, Robin, additional

Published
2023
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21. Long-Term Exposure to Fine Particulate Matter and Incidence of Esophageal Cancer: A Prospective Study of 0.5 Million Chinese Adults

Author

Sun, Dong, primary, Liu, Cong, additional, Zhu, Yunqing, additional, Yu, Canqing, additional, Guo, Yu, additional, Sun, Dianjianyi, additional, Pang, Yuanjie, additional, Pei, Pei, additional, Du, Huaidong, additional, Yang, Ling, additional, Chen, Yiping, additional, Meng, Xia, additional, Liu, Yang, additional, Zhang, Jun, additional, Schmidt, Dan, additional, Avery, Daniel, additional, Chen, Junshi, additional, Chen, Zhengming, additional, Lv, Jun, additional, Kan, Haidong, additional, Li, Liming, additional, Clarke, Robert, additional, Collins, Rory, additional, Peto, Richard, additional, Walters, 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, Gilbert, Simon, additional, Hacker, Alex, 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, Sansome, Sam, additional, Sherliker, Paul, additional, Sohoni, Rajani, additional, Stevens, Becky, additional, Turnbull, Iain, 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, 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, Wu, Xianping, 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
2023
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22. Tobacco smoking and risks of more than 470 diseases in China: a prospective cohort study

Author

Chan, Ka Hung, primary, Wright, Neil, additional, Xiao, Dan, additional, Guo, Yu, additional, Chen, Yiping, additional, Du, Huaidong, additional, Yang, Ling, additional, Millwood, Iona Y, additional, Pei, Pei, additional, Wang, Junzheng, additional, Turnbull, Iain, additional, Gilbert, Simon, additional, Avery, Daniel, additional, Kartsonaki, Christiana, additional, Yu, Canqing, additional, Chen, Junshi, additional, Lv, Jun, additional, Clarke, Robert, additional, Collins, Rory, additional, Peto, Richard, additional, Li, Liming, additional, Wang, Chen, additional, Chen, Zhengming, additional, Bennett, Derrick, additional, Boxall, Ruth, additional, Burgess, Sushila, additional, Chan, Peter Ka Hung, additional, Clarke, Johnathan, additional, Mohamed, Ahmed Edris, additional, Fry, Hannah, additional, Hill, Mike, additional, Im, Becky Pek Kei, additional, Iona, Andri, additional, Kakkoura, Maria, additional, Lam, Hubert, additional, Lin, Kuang, additional, Mazidi, Mohsen, additional, Morris, Sam, additional, Nie, Qunhua, additional, Pozarickij, Alfred, additional, Ryder, Paul, additional, Said, Saredo, additional, Schmidt, Dan, additional, Sherliker, Paul, additional, Stevens, Rebecca, additional, Walters, Robin, additional, Wang, Lin, additional, Yang, Xiaoming, additional, Yao, Pang, additional, Han, Xiao, additional, Hou, Can, additional, Xia, Qingmei, additional, Liu, Chao, additional, Chen, Naying, additional, Liu, Duo, additional, Tang, Zhenzhu, additional, Chen, Ningyu, additional, Jiang, Qilian, additional, Lan, Jian, additional, Li, Mingqiang, additional, Liu, Yun, additional, Meng, Fanwen, additional, Meng, Jinhuai, additional, Pan, Rong, additional, Qin, Yulu, additional, Wang, Ping, additional, Wang, Sisi, additional, Wei, Liuping, additional, Zhou, Liyuan, additional, Dong, Caixia, additional, Ge, Pengfei, additional, Ren, Xiaolan, additional, Li, Zhongxiao, additional, Mao, Enke, additional, Wang, Tao, additional, Zhang, Hui, additional, Zhang, Xi, additional, Chen, Jinyan, additional, Hu, Ximin, additional, Wang, Xiaohuan, additional, Guo, Zhendong, additional, Li, Huimei, additional, Li, Yilei, additional, Weng, Min, additional, Wu, Shukuan, additional, Yan, Shichun, additional, Zou, Mingyuan, additional, Zhou, Xue, additional, Guo, Ziyan, additional, Kang, Quan, additional, Li, Yanjie, additional, Yu, Bo, additional, Xu, Qinai, additional, Chang, Liang, additional, Fan, Lei, additional, Feng, Shixian, additional, Zhang, Ding, additional, Zhou, Gang, additional, Gao, Yulian, additional, He, Tianyou, additional, He, Pan, additional, Hu, Chen, additional, Sun, Huarong, additional, Zhang, Xukui, additional, Chen, Biyun, additional, Fu, Zhongxi, additional, Huang, Yuelong, additional, Liu, Huilin, additional, Xu, Qiaohua, additional, Yin, Li, additional, Long, Huajun, additional, Xu, Xin, additional, Zhang, Hao, additional, Zhang, Libo, additional, Su, Jian, additional, Tao, Ran, additional, Wu, Ming, additional, Yang, Jie, additional, Zhou, Jinyi, additional, Zhou, Yonglin, additional, Hu, Yihe, additional, Hua, Yujie, additional, Jin, Jianrong, additional, Liu, Fang, additional, Liu, Jingchao, additional, Lu, Yan, additional, Ma, Liangcai, additional, Tang, Aiyu, additional, Zhang, Jun, additional, Cheng, Liang, additional, Du, Ranran, additional, Gao, Ruqin, additional, Li, Feifei, additional, Li, Shanpeng, additional, Liu, Yongmei, additional, Ning, Feng, additional, Pang, Zengchang, additional, Sun, Xiaohui, additional, Tian, Xiaocao, additional, Wang, Shaojie, additional, Zhai, Yaoming, additional, Zhang, Hua, additional, Hou, Wei, additional, Lv, Silu, additional, Chen, Xiaofang, additional, Wu, Xianping, additional, Zhang, Ningmei, additional, Zhou, Weiwei, additional, Li, Jianguo, additional, Liu, Jiaqiu, additional, Luo, Guojin, additional, Sun, Qiang, additional, Zhong, Xunfu, additional, Gong, Weiwei, additional, Hu, Ruying, additional, Wang, Hao, additional, Wang, Meng, additional, Yu, Min, additional, Chen, Lingli, additional, Gu, Qijun, additional, Pan, Dongxia, additional, Wang, Chunmei, additional, Xie, Kaixu, additional, and Zhang, Xiaoyi, additional

Published
2022
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23. Genome-wide association study and replication of liver enzyme loci

Author

Pazoki, Raha, Vujkovic, Marijana, Elliott, Joshua, Evangelou, Evangelos, Gill, Dipender, Ghanbari, Mohsen, Van der Most, Peter J., Pinto, Rui Climaco, Wielscher, Matthias, Farlik, Matthias, Zuber, Verena, de Knegt, Robert J., Snieder, Harold, Uitterlinden, Andre G., Lynch, Julie A., Jiang, Xiyun, Said, Saredo, Kaplan, David E., Lee, Kyung Min, Serper, Marina, Carr, Rotonya M., Tsao, Philip S., Atkinson, Stephen R., Dehghan, Abbas, Tzoulaki, Ioanna, Ikram, Arfan, Herzig, Karl-Heinz, Jarvelin, Marjo-Riitta, Alizadeh, Behrooz Z., O'Don-Nell, Christopher J., Saleheen, Danish, Voight, Benjamin F., Chang, Kyong-Mi, Thursz, Mark R., Elliott, Paul, Life Course Epidemiology (LCE), and Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET)

Published
2022

24. One-size-fits-all versus risk-category-based screening interval strategies for cardiovascular disease prevention in Chinese adults: a prospective cohort study

Author

Sun, Zhijia, Ma, Yu, Yu, Canqing, Sun, Dianjianyi, Pang, Yuanjie, Pei, Pei, Yang, Ling, Chen, Yiping, Du, Huaidong, Zhang, Hao, Yang, Xiaoming, Barnard, Maxim, Clarke, Robert, Chen, Junshi, Chen, Zhengming, Li, Liming, Lv, Jun, Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Barnard, Maxim, Bennett, Derrick, Belbasis, Lazaros, Boxall, Ruth, Chan, Ka Hung, Chen, Yiping, Chen, Zhengming, Clarke, Charlotte, Clarke, Johnathan, Clarke, Robert, Du, Huaidong, Mohamed, Ahmed Edris, Fry, Hannah, Gilbert, Simon, Im, Pek Kei, Iona, Andri, Kakkoura, Maria, Kartsonaki, Christiana, Lam, Hubert, Lin, Kuang, Liu, James, Mazidi, Mohsen, Millwood, Iona, Morris, Sam, Nie, Qunhua, Pozarickij, Alfred, Rahmati, Maryanm, Ryder, Paul, Said, Saredo, Schmidt, Dan, Stevens, Becky, Turnbull, Iain, Walters, Robin, Wang, Baihan, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Han, Xiao, Hou, Can, Xia, Qingmei, Liu, Chao, Lv, Jun, Pei, Pei, Sun, Dianjianyi, Yu, Canqing, Pan, Lang, 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, Fang Liu, Jian Su., 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, Chen, Xiaofang, 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, and Qu, Chan

Abstract

In non-high-risk individuals, risk-category-based atherosclerotic cardiovascular disease (ASCVD) screening strategies may be more cost-effective than one-size-fits-all approaches. However, current decisions are constrained by a lack of research evidence. We aimed to explore appropriate risk-category-based screening interval strategies for non-high-risk individuals in ASCVD primary prevention in the Chinese population.

Published
2024
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25. A wide landscape of morbidity and mortality risk associated with marital status in 0·5 million Chinese men and women: a prospective cohort study

Author

Xiao, Meng, Li, Aolin, Wang, Yueqing, Yu, Canqing, Pang, Yuanjie, Pei, Pei, Yang, Ling, Chen, Yiping, Du, Huaidong, Schmidt, Dan, Avery, Daniel, Sun, Qiang, Chen, Junshi, Chen, Zhengming, Li, Liming, Lv, Jun, Sun, Dianjianyi, Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Burgess, Sue, Chan, Ka Hung, Chang, Yumei, Chen, Yiping, Chen, Zhengming, Clarke, Johnathan, Clarke, Robert, 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, Guo, Yu, Han, Xiao, Hou, Can, Lv, Jun, 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, Chen, Xiaofang, 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, and Qu, Chan

Abstract

A comprehensive depiction of long-term health impacts of marital status is lacking.

Published
2023
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26. Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease.

Author

Mazidi, Mohsen, Wright, Neil, Yao, Pang, Kartsonaki, Christiana, Millwood, Iona Y., Fry, Hannah, Said, Saredo, Pozarickij, Alfred, Pei, Pei, Chen, Yiping, Avery, Daniel, Du, Huaidong, Schmidt, Dan Valle, Yang, Ling, Lv, Jun, Yu, Canqing, Chen, Junshi, Hill, Michael, Holmes, Michael V., and Howson, Joanna M.M.

Subjects
*MYOCARDIAL ischemia, *CORONARY disease, *DRUG target, *PROTEOMICS, *BRAIN natriuretic factor
Abstract

Integrated analyses of plasma proteomic and genetic markers in prospective studies can clarify the causal relevance of proteins and discover novel targets for ischemic heart disease (IHD) and other diseases. The purpose of this study was to examine associations of proteomics and genetics data with IHD in population studies to discover novel preventive treatments. We conducted a nested case-cohort study in the China Kadoorie Biobank (CKB) involving 1,971 incident IHD cases and 2,001 subcohort participants who were genotyped and free of prior cardiovascular disease. We measured 1,463 proteins in the stored baseline samples using the OLINK EXPLORE panel. Cox regression yielded adjusted HRs for IHD associated with individual proteins after accounting for multiple testing. Moreover, cis -protein quantitative loci (pQTLs) identified for proteins in genome-wide association studies of CKB and of UK Biobank were used as instrumental variables in separate 2-sample Mendelian randomization (MR) studies involving global CARDIOGRAM+C4D consortium (210,842 IHD cases and 1,378,170 controls). Overall 361 proteins were significantly associated at false discovery rate <0.05 with risk of IHD (349 positively, 12 inversely) in CKB, including N-terminal prohormone of brain natriuretic peptide and proprotein convertase subtilisin/kexin type 9. Of these 361 proteins, 212 had cis -pQTLs in CKB, and MR analyses of 198 variants in CARDIOGRAM+C4D identified 13 proteins that showed potentially causal associations with IHD. Independent MR analyses of 307 cis -pQTLs identified in Europeans replicated associations for 4 proteins (FURIN, proteinase-activated receptor-1, Asialoglycoprotein receptor-1, and matrix metalloproteinase-3). Further downstream analyses showed that FURIN, which is highly expressed in endothelial cells, is a potential novel target and matrix metalloproteinase-3 a potential repurposing target for IHD. Integrated analyses of proteomic and genetic data in Chinese and European adults provided causal support for FURIN and multiple other proteins as potential novel drug targets for treatment of IHD. [Display omitted] [ABSTRACT FROM AUTHOR]

Published
2023
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