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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. Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults

Author

Pozarickij, Alfred, Gan, Wei, Lin, Kuang, Clarke, Robert, Fairhurst-Hunter, Zammy, Koido, Masaru, Kanai, Masahiro, Okada, Yukinori, Kamatani, Yoichiro, Bennett, Derrick, Du, Huaidong, Chen, Yiping, Yang, Ling, Avery, Daniel, Guo, Yu, Yu, Min, Yu, Canqing, Schmidt Valle, Dan, Lv, Jun, Chen, Junshi, Peto, Richard, Collins, Rory, Li, Liming, Chen, Zhengming, Millwood, Iona Y., and Walters, Robin G.

Published
2024
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6. 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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7. 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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12. 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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13. 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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14. 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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15. Alcohol intake and cause-specific mortality: conventional and genetic evidence in a prospective cohort study of 512 000 adults in China

Author

Millwood, Iona Y, Im, Pek Kei, Bennett, Derrick, Hariri, Parisa, Yang, Ling, Du, Huaidong, Kartsonaki, Christiana, Lin, Kuang, Yu, Canqing, Chen, Yiping, Sun, Dianjianyi, Zhang, Ningmei, Avery, Daniel, Schmidt, Dan, Pei, Pei, Chen, Junshi, Clarke, Robert, Lv, Jun, Peto, Richard, Walters, Robin G, Li, Liming, and Chen, Zhengming

Published
2023
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17. Genotyping and population characteristics of the China Kadoorie Biobank

Author

Walters, Robin G., Millwood, Iona Y., Lin, Kuang, Schmidt Valle, Dan, McDonnell, Pandora, Hacker, Alex, Avery, Daniel, Edris, Ahmed, Fry, Hannah, Cai, Na, Kretzschmar, Warren W., Ansari, M. Azim, Lyons, Paul A., Collins, Rory, Donnelly, Peter, Hill, Michael, Peto, Richard, Shen, Hongbing, Jin, Xin, Nie, Chao, Xu, Xun, Guo, Yu, Yu, Canqing, Lv, Jun, Clarke, Robert J., Li, Liming, and Chen, Zhengming

Published
2023
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18. 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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19. 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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20. What's Market: Representations And Warranty Insurance

Author

Avery, Daniel R.

Subjects
Private companies -- Mergers, acquisitions and divestments -- Laws, regulations and rules, Acquisitions and mergers -- Forecasts and trends -- Laws, regulations and rules, Government regulation, Company acquisition/merger, Market trend/market analysis, Business, international
Abstract

Goulston & Storrs M&A attorney Dan Avery is a nationally recognized expert on M&A deal point trends. In partnership with Bloomberg Law, Dan has developed a series of 25 articles [...]

Published
2024

24. Genetically Predicted Differences in Systolic Blood Pressure and Risk of Cardiovascular and Noncardiovascular Diseases: A Mendelian Randomization Study in Chinese Adults

Author

Clarke, Robert, Wright, Neil, Walters, Robin, Gan, Wei, Guo, Yu, Millwood, Iona Y., Yang, Ling, Chen, Yiping, Lewington, Sarah, Lv, Jun, Yu, Canqing, Avery, Daniel, Lin, Kuang, Wang, Kang, Peto, Richard, Collins, Rory, Li, Liming, Bennett, Derrick A., Parish, Sarah, and Chen, Zhengming

Published
2023
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26. Conventional and genetic associations of BMI with major vascular and non-vascular disease incidence and mortality in a relatively lean Chinese population: U-shaped relationship revisited.

Author

Iona, Andri, Bragg, Fiona, Fairhurst-Hunter, Zammy, Millwood, Iona Y, Wright, Neil, Lin, Kuang, Yang, Ling, Du, Huaidong, Chen, Yiping, Pei, Pei, Cheng, Liang, Schmidt, Dan, Avery, Daniel, Yu, Canqing, Lv, Jun, Clarke, Robert, Walters, Robin, Li, Liming, Parish, Sarah, and Chen, Zhengming

Subjects
BODY mass index, CEREBRAL hemorrhage, ISCHEMIC stroke, CHINESE people, STROKE
Abstract

Background Higher body mass index (BMI) is associated with higher incidence of cardiovascular and some non-cardiovascular diseases (CVDs/non-CVDs). However, uncertainty remains about its associations with mortality, particularly at lower BMI levels. Methods The prospective China Kadoorie Biobank recruited >512 000 adults aged 30–79 years in 2004–08 and genotyped a random subset of 76 000 participants. In conventional and Mendelian randomization (MR) analyses, Cox regression yielded adjusted hazard ratios (HRs) associating measured and genetically predicted BMI levels with incident risks of major vascular events (MVEs; conventional/MR 68 431/23 621), ischaemic heart disease (IHD; 50 698/12 177), ischaemic stroke (IS; 42 427/11 897) and intracerebral haemorrhage (ICH; 7644/4712), and with mortality risks of CVD (15 427/6781), non-CVD (26 915/4355) and all causes (42 342/6784), recorded during ∼12 years of follow-up. Results Overall, the mean BMI was 23.8 (standard deviation: 3.2) kg/m2 and 13% had BMIs of <20 kg/m2. Measured and genetically predicted BMI showed positive log-linear associations with MVE, IHD and IS, but a shallower positive association with ICH in conventional analyses. Adjusted HRs per 5 kg/m2 higher genetically predicted BMI were 1.50 (95% CI 1.41–1.58), 1.49 (1.38–1.61), 1.42 (1.31–1.54) and 1.64 (1.58–1.69) for MVE, IHD, IS and ICH, respectively. These were stronger than associations in conventional analyses [1.21 (1.20–1.23), 1.28 (1.26–1.29), 1.31 (1.29–1.33) and 1.14 (1.10–1.18), respectively]. At BMIs of ≥20 kg/m2, there were stronger positive log-linear associations of BMI with CVD, non-CVD and all-cause mortality in MR than in conventional analyses. Conclusions Among relatively lean Chinese adults, higher genetically predicted BMI was associated with higher risks of incident CVDs. Excess mortality risks at lower BMI in conventional analyses are likely not causal and may reflect residual reverse causality. [ABSTRACT FROM AUTHOR]

Published
2024
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28. 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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29. 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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30. 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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31. Prospective evaluation of the relevance of Epstein–Barr virus antibodies for early detection of nasopharyngeal carcinoma in Chinese adults.

Author

Yang, Ling, Kartsonaki, Christiana, Simon, Julia, Yao, Pang, Guo, Yu, Lv, Jun, Walters, Robin G, Chen, Yiping, Fry, Hannah, Avery, Daniel, Yu, Canqing, Jin, Jianrong, Mentzer, Alexander J, Allen, Naomi, Butt, Julia, Hill, Michael, Li, Liming, Millwood, Iona Y, Waterboer, Tim, and Chen, Zhengming

Subjects
VIRAL antibodies, IMMUNOGLOBULIN A, NASOPHARYNX cancer, IMMUNOGLOBULIN G, SEROLOGY
Abstract

Background Epstein–Barr virus (EBV) is a major cause of nasopharyngeal carcinoma (NPC) and measurement of different EBV antibodies in blood may improve early detection of NPC. Prospective studies can help assess the roles of different EBV antibodies in predicting NPC risk over time. Methods A case-cohort study within the prospective China Kadoorie Biobank of 512 715 adults from 10 (including two NPC endemic) areas included 295 incident NPC cases and 745 subcohort participants. A multiplex serology assay was used to quantify IgA and IgG antibodies against 16 EBV antigens in stored baseline plasma samples. Cox regression was used to estimate adjusted hazard ratios (HRs) for NPC and C-statistics to assess the discriminatory ability of EBV-markers, including two previously identified EBV-marker combinations, for predicting NPC. Results Sero-positivity for 15 out of 16 EBV-markers was significantly associated with higher NPC risk. Both IgA and IgG antibodies against the same three EBV-markers showed the most extreme HRs, i.e. BGLF2 (IgA: 124.2 (95% CI: 63.3–243.9); IgG: 8.6 (5.5–13.5); LF2: [67.8 (30.0–153.1), 10.9 (7.2–16.4)]); and BFRF1: 26.1 (10.1–67.5), 6.1 (2.7–13.6). Use of a two-marker (i.e. LF2/BGLF2 IgG) and a four-marker (i.e. LF2/BGLF2 IgG and LF2/EA-D IgA) combinations yielded C-statistics of 0.85 and 0.84, respectively, which persisted for at least 5 years after sample collection in both endemic and non-endemic areas. Conclusions In Chinese adults, plasma EBV markers strongly predict NPC occurrence many years before clinical diagnosis. LF2 and BGLF2 IgG could identify NPC high-risk individuals to improve NPC early detection in community and clinical settings. [ABSTRACT FROM AUTHOR]

Published
2024
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32. 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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33. Dietary factors and patterns in relation to risk of later‐onset ulcerative colitis in Chinese: A prospective study of 0.5 million people.

Author

Song, Shuyao, Wu, Zhiyu, Lv, Jun, Yu, Canqing, Sun, Dianjianyi, Pei, Pei, Pan, Lang, Yang, Ling, Chen, Yiping, Du, Huaidong, Chen, Lingli, Schmidt, Dan, Avery, Daniel, Duan, Liping, Chen, Junshi, Chen, Zhengming, Li, Liming, and Pang, Yuanjie

Subjects
DIETARY patterns, ULCERATIVE colitis, PRINCIPAL components analysis, FOOD habits, LONGITUDINAL method, FOOD of animal origin
Abstract

Summary: Background: There is limited evidence on the associations of dietary factors and patterns with risk of later‐onset ulcerative colitis (UC) in Chinese adults. Aims: To investigate the associations of dietary factors and patterns with risk of later‐onset UC in Chinese. Methods: The prospective China Kadoorie Biobank cohort study recruited 512,726 participants aged 30–79. Dietary habits were assessed using food frequency questionnaires. Dietary patterns were derived by factor analysis with a principal component method. Cox regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: During a median follow‐up of 12.1 years, 312 cases of newly diagnosed UC were documented (median age of diagnosis 60.1 years). Egg consumption was associated with higher risk of UC (HR for daily vs. never or rarely: 2.29 [95% CI: 1.26–4.16]), while spicy food consumption was inversely associated with risk of UC (HR: 0.63 [0.45–0.88]). The traditional northern dietary pattern, characterised by high intake of wheat and low intake of rice, was associated with higher risk of UC (HR for highest vs. lowest quartile of score: 2.79 [1.93–4.05]). The modern dietary pattern, characterised by high intake of animal‐origin foods and fruits, was associated with higher risk of UC (HR: 2.48 [1.63–3.78]). Population attributable fraction was 13.04% (7.71%–19.11%) for daily/almost daily consumption of eggs and 9.87% (1.94%–18.22%) for never/rarely consumption of spicy food. Conclusions: The findings highlight the importance of evaluating dietary factors and patterns in the primary prevention of later‐onset UC in Chinese adults. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Mortality and recurrent vascular events after first incident stroke: a 9-year community-based study of 0·5 million Chinese adults

Author

Chen, Yiping, Wright, Neil, Guo, Yu, Turnbull, Iain, Kartsonaki, Christiana, Yang, Ling, Bian, Zheng, Pei, Pei, Pan, Dongxia, Zhang, Yidan, Qin, Haiqiang, Wang, Yilong, Lv, Jun, Liu, Ming, Hao, Zilong, Wang, Yongjun, Yu, Canqing, Peto, Richard, Collins, Rory, Li, Liming, Clarke, Robert, Chen, Zhengming, Chen, Junshi, Walters, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Bragg, Fiona, Chang, Yumei, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Holmes, Michael, Kerosi, Rene, Lancaster, Garry, Lin, Kuang, McDonnell, John, Millwood, Iona, Nie, Qunhua, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sohoni, Rajani, Wang, Jenny, Wang, Lin, Yang, Xiaoming, Han, Xiao, Hou, Can, Jing, Biao, Liu, Chao, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, 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, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, 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, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Chen, Ningyu, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Zhang, Xukui, Wu, Huifang, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, and Qiu, Zhe

Published
2020
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35. Cooking fuels and risk of all-cause and cardiopulmonary mortality in urban China: a prospective cohort study

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Boxall, Ruth, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Hill, Mike, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Kurmi, Om, Lancaster, Garry, Lewington, Sarah, Lin, Kuang, McDonnell, John, Millwood, Iona, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Bian, Zheng, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Tan, Yunlong, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, 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, Zeng, Mingyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Guo, Zhendong, Wu, Shukuan, Li, Yilei, Li, Huimei, Fu, Zhifang, 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, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Lan, Jian, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Wang, Ping, Meng, Fanwen, Qin, Yulu, Wang, Sisi, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Zhou, Weiwei, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Zhang, Xukui, Wu, Huifang, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixu, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Li, Xianzhi, Zhang, Libo, Qiu, Zhe, Yu, Kuai, Qiu, Gaokun, Wang, Chaolong, Pan, An, Liang, Liming, Hu, Frank B, and Wu, Tangchun

Published
2020
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37. 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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38. 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, primary, Li, Aolin, additional, Wang, Yueqing, additional, Yu, Canqing, additional, Pang, Yuanjie, additional, Pei, Pei, additional, Yang, Ling, additional, Chen, Yiping, additional, Du, Huaidong, additional, Schmidt, Dan, additional, Avery, Daniel, additional, Sun, Qiang, additional, Chen, Junshi, additional, Chen, Zhengming, additional, Li, Liming, additional, Lv, Jun, additional, and Sun, Dianjianyi, additional

Published
2023
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39. Adiposity and risk of ischaemic and haemorrhagic stroke in 0·5 million Chinese men and women: a prospective cohort study

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Bragg, Fiona, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kurmi, Om, Lewington, Sarah, Lancaster, Garry, Lin, Kuang, McDonnell, John, Millwood, Iona, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Bian, Zheng, Chen, Ge, Han, Xiao, Hou, Can, Pei, Pei, Qu, Shuzhen, Tan, Yunlong, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Lv, Silu, Wang, Junzheng, Hou, Wei, Yin, Jiyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Mu, Huaiyi, Xu, Qinai, Dou, Meiling, Ren, Jiaojiao, Wang, Shanqing, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Zheng, Xiangyang, Li, Yilei, Li, Huimei, Wang, Yanjun, Wu, Ming, Zhou, Jinyi, Tao, Ran, Yang, Jie, Ni, Chuanming, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Zhang, Weiyuan, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Guan, Hairong, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Tang, Xuefeng, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Lv, Qiannan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixue, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Huang, Yuelong, Chen, Biyun, Yin, Li, Jin, Donghui, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Xiong, Youping, Long, Huajun, Li, Xianzhi, Zhang, Libo, Qiu, Zhe, Parish, Sarah, Holmes, Michael V, Lacey, Ben, Liu, Fang, Zhang, Zengzhi, and Walters, Robin G

Published
2018
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40. Age-specific association between blood pressure and vascular and non-vascular chronic diseases in 0·5 million adults in China: a prospective cohort study

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Bragg, Fiona, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kurmi, Om, Lewington, Sarah, Lancaster, Garry, Lin, Kuang, McDonnell, John, Millwood, Iona, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Bian, Zheng, Chen, Ge, Han, Xiao, Hou, Can, Pei, Pei, Qu, Shuzhen, Tan, Yunlong, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Lv, Silu, Wang, Junzheng, Hou, Wei, Yin, Jiyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Mu, Huaiyi, Xu, Qinai, Dou, Meiling, Ren, Jiaojiao, Wang, Shanqing, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Zheng, Xiangyang, Li, Yilei, Li, Huimei, Wang, Yanjun, Wu, Ming, Zhou, Jinyi, Tao, Ran, Yang, Jie, Ni, Chuanming, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Zhang, Weiyuan, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Guan, Hairong, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Tang, Xuefeng, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Lv, Qiannan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixue, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Huang, Yuelong, Chen, Biyun, Yin, Li, Jin, Donghui, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Xiong, Youping, Long, Huajun, Li, Xianzhi, Zhang, Libo, Qiu, Zhe, Lacey, Ben, Kong, Xiang Ling, and Walters, Robin G

Published
2018
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41. Smoking and smoking cessation in relation to risk of diabetes in Chinese men and women: a 9-year prospective study of 0·5 million people

Author

Chen, Junshi, Chen, Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li, Liming, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Bennett, Derrick, Boxall, Ruth, Bragg, Fiona, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gilbert, Simon, Hacker, Alex, Holmes, Michael, Kartsonaki, Christiana, Kerosi, Rene, Lancaster, Garry, Lin, Kuang, McDonnell, John, Millwood, Iona, Nie, Qunhua, Radhakrishnan, Jayakrishnan, Ryder, Paul, Sansome, Sam, Schmidt, Dan, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Jenny, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Bian, Zheng, Chen, Ge, Han, Xiao, Hou, Can, Pei, Pei, Qu, Shuzhen, Tan, Yunlong, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Zang, Yajing, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Lv, Silu, Wang, Junzheng, Hou, Wei, Yin, Jiyuan, Jiang, Ge, Zhou, Xue, Yang, Liqiu, He, Hui, Yu, Bo, Li, Yanjie, Mu, Huaiyi, Xu, Qinai, Dou, Meiling, Ren, Jiaojiao, Wang, Shanqing, Hu, Ximin, Wang, Hongmei, Chen, Jinyan, Fu, Yan, Fu, Zhenwang, Wang, Xiaohuan, Weng, Min, Zheng, Xiangyang, Li, Yilei, Li, Huimei, Wang, Yanjun, Wu, Ming, Zhou, Jinyi, Tao, Ran, Yang, Jie, Ni, Chuanming, Zhang, Jun, Hu, Yihe, Lu, Yan, Ma, Liangcai, Tang, Aiyu, Zhang, Shuo, Jin, Jianrong, Liu, Jingchao, Tang, Zhenzhu, Chen, Naying, Huang, Ying, Li, Mingqiang, Meng, Jinhuai, Pan, Rong, Jiang, Qilian, Zhang, Weiyuan, Liu, Yun, Wei, Liuping, Zhou, Liyuan, Chen, Ningyu, Guan, Hairong, Wu, Xianping, Zhang, Ningmei, Chen, Xiaofang, Tang, Xuefeng, Luo, Guojin, Li, Jianguo, Zhong, Xunfu, Liu, Jiaqiu, Sun, Qiang, Ge, Pengfei, Ren, Xiaolan, Dong, Caixia, Zhang, Hui, Mao, Enke, Wang, Xiaoping, Wang, Tao, Zhang, Xi, Zhang, Ding, Zhou, Gang, Feng, Shixian, Chang, Liang, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Lv, Qiannan, Zhang, Xukui, Yu, Min, Hu, Ruying, Wang, Hao, Qian, Yijian, Wang, Chunmei, Xie, Kaixue, Chen, Lingli, Zhang, Yidan, Pan, Dongxia, Huang, Yuelong, Chen, Biyun, Yin, Li, Jin, Donghui, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Xiong, Youping, Long, Huajun, Li, Xianzhi, Zhang, Libo, Qiu, Zhe, Liu, Xin, and Wang, Kang

Published
2018
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43. Associations of polygenic risk scores with risks of stroke and its subtypes in Chinese

Author

Yang, Songchun, primary, Sun, Zhijia, additional, Sun, Dong, additional, Yu, Canqing, additional, Guo, Yu, additional, Sun, Dianjianyi, additional, Pang, Yuanjie, additional, Pei, Pei, additional, Yang, Ling, additional, Millwood, Iona Y, additional, Walters, Robin G, additional, Chen, Yiping, additional, Du, Huaidong, additional, Lu, Yan, additional, Burgess, Sushila, additional, Avery, Daniel, additional, Clarke, Robert, additional, Chen, Junshi, additional, Chen, Zhengming, additional, Li, Liming, additional, and Lv, Jun, additional

Published
2023
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44. Associations of alcohol intake with subclinical carotid atherosclerosis in 22,000 Chinese adults

Author

Zhou, Tianyu, primary, Im, Pek Kei, additional, Hariri, Parisa, additional, Du, Huaidong, additional, Guo, Yu, additional, Lin, Kuang, additional, Yang, Ling, additional, Yu, Canqing, additional, Chen, Yiping, additional, Sohoni, Rajani, additional, Avery, Daniel, additional, Guan, Meiyu, additional, Yang, Meng, additional, Lv, Jun, additional, Clarke, Robert, additional, Li, Liming, additional, Walters, Robin G., additional, Chen, Zhengming, additional, and Millwood, Iona Y., additional

Published
2023
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45. 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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46. Does the Intersectionality of Race/Ethnicity and Type 2 Diabetes Increase the Odds of a Cervical Cancer Diagnosis? A Nested Case–Control Study of a Florida Statewide Multisite EHR Database

Author

Mkuu, Rahma S., primary, Hall, Jaclyn M., additional, Galochkina, Zhanna, additional, Cho, Hee Deok, additional, Staras, Stephanie A. S., additional, Lee, Ji-Hyun, additional, Guo, Yi, additional, Chakrabarti, Choeeta, additional, Barrow, Sable Bowman, additional, Ortega, Selena, additional, Avery, Daniel M., additional, Higginbotham, John, additional, Lockhart, Jala, additional, and Shenkman, Elizabeth A., additional

Published
2023
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48. Helicobacter pylori multiplex serology and risk of non-cardia and cardia gastric cancer: a case-cohort study and meta-analysis

Author

Yao, Pang, primary, Kartsonaki, Christiana, additional, Butt, Julia, additional, Jeske, Rima, additional, de Martel, Catherine, additional, Plummer, Martyn, additional, Guo, Yu, additional, Clark, Sarah, additional, Walters, Robin G, additional, Chen, Yiping, additional, Avery, Daniel, additional, Lv, Jun, additional, Yu, Canqing, additional, Wang, Hao, additional, Hill, Michael, additional, Peto, Richard, additional, Li, Liming, additional, Waterboer, Tim, additional, Chen, Zhengming, additional, Millwood, Iona Y, additional, and Yang, Ling, additional

Published
2023
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49. Genome‐wide polygenic risk score, cardiometabolic risk factors, and type 2 diabetes mellitus in the Chinese population.

Author

Huang, Ninghao, Xiao, Wendi, Lv, Jun, Yu, Canqing, Guo, Yu, Pei, Pei, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Du, Huaidong, Avery, Daniel, Ou, Tingting, Chen, Junshi, Chen, Zhengming, Huang, Tao, and Li, Liming

Subjects
DISEASE risk factors, TYPE 2 diabetes, CHINESE people, MONOGENIC & polygenic inheritance (Genetics), NON-communicable diseases, BLOOD lipids
Abstract

Objective: Type 2 diabetes (T2D) is caused by both genetic and cardiometabolic risk factors. However, the magnitude of the genetic predisposition of T2D in the Chinese population remains largely unknown. Methods: This study included 93,488 participants from the China Kadoorie Biobank, and multiple polygenic risk scores (PRS) were calculated. A common cardiometabolic risk score (CRS) using smoking, alcohol consumption, physical activity, diet, obesity, blood pressure, and blood lipids was constructed to investigate the effects of cardiometabolic risk factors on T2D. Furthermore, an equation based on ideal PRS, CRS, and their interaction was established to explore the combined effects on T2D. Results: An ideally fitting PRS model (variance explained, R2 = 7.6%) was reached based on multiple PRS calculation methods. An additive interaction between PRS and CRS (coefficient = 28%, 95% CI: 0.20–0.36, p < 0.001) was found. The R2 of the T2D predictive model could increase to 8.3% when CRS and the interaction terms of PRS × CRS were considered. In the etiological composition of T2D, the ratio of genetic risk effect, cardiometabolic risk effect, and interaction between genetic and cardiometabolic factors was 67:16:17. Conclusions: This study identified an ideally fitting PRS model for identifying and predicting the risk of T2D suitable for the Chinese population. The quantified proportional structure of genetic risk factors, cardiometabolic risk factors, and their interaction was detected, which elucidated the critical effect of genetic factors. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Sleep duration and risk of stroke and coronary heart disease: a 9-year community-based prospective study of 0.5 million Chinese adults.

Author

Chen, Yiping, Kartsonaki, Christiana, Clarke, Robert, Guo, Yu, Du, Huaidong, Yu, Canqing, Yang, Ling, Pei, Pei, Stevens, Rebecca, Burgess, Sushila, Hua, Yujie, Chen, Junshi, Lv, Jun, Li, Liming, Chen, Zhengming, on behalf of the China Kadoorie Biobank Collaborative Group, Collins, Rory, Peto, Richard, Walters, Robin, and Avery, Daniel

Subjects
SLEEP duration, CORONARY disease, STROKE, NAPS (Sleep), ISCHEMIC stroke, INTRACEREBRAL hematoma
Abstract

Background: There is uncertainty about the optimum sleep duration for risk of different subtypes of stroke and ischaemic heart disease. Methods: The present analyses involved 409,156 adults in the China Kadoorie Biobank study without a prior history of coronary heart disease or stroke or insomnia symptoms. The mean age of study participants was 52 years and 59% were women. Self-reported sleep duration including daytime napping was recorded using a questionnaire. The adjusted hazard ratios (HRs) for disease outcomes associated with sleep duration were estimated by Cox proportional hazards after adjustment for confounding factors. Results: The overall mean (SD) sleep duration was 7.4 (1.4) hours. The associations of sleep duration with CVD types were U-shaped, with individuals reporting 7–8 h of sleep having the lowest risks. Compared with those who typically slept 7–8 h, individuals with very short sleep duration (≤ 5 h) had adjusted HRs of 1.10 (95% CI 1.04–1.16), 1.07 (1.01–1.13), 1.19 (1.06–1.33) and 1.23 (1.10–1.37) for total stroke, ischaemic stroke (IS), Intracerebral haemorrhage (ICH) and major coronary events (MCE), respectively. Likewise, individuals with very long sleep duration (≥ 10 h) had HRs of 1.12 (1.07–1.17), 1.08 (1.03–1.14), 1.23 (1.12–1.35) and 1.22 (1.10–1.34) for the same diseases, respectively, with little differences by sex and age. The patterns were similar for all-cause mortality. Conclusions: While abnormal sleep duration (≤ 6 h or ≥ 9 h) was associated with higher risks of CVD, the risks were more extreme for those reporting ≤ 5 or ≥ 10 h, respectively and such individuals should be prioritised for more intensive treatment for CVD prevention. [ABSTRACT FROM AUTHOR]

Published
2023
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