19 results on '"Millwood, Iona Y"'
Search Results
2. Association of autosomal mosaic chromosomal alterations with risk of bladder cancer in Chinese adults: a prospective cohort study.
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Song, Mingyu, Han, Yuting, Zhao, Yuxuan, Lv, Jun, Yu, Canqing, Pei, Pei, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Du, Huaidong, Yang, Xiaoming, Yao, Wei, Chen, Junshi, Chen, Zhengming, Genovese, Giulio, Terao, Chikashi, Li, Liming, Sun, Dianjianyi, and China Kadoorie Biobank Collaborative Group
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- 2024
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3. A genome-wide association study based on the China Kadoorie Biobank identifies genetic associations between snoring and cardiometabolic traits.
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Zhu, Yunqing, Zhuang, Zhenhuang, Lv, Jun, Sun, Dianjianyi, Pei, Pei, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Chen, Yiping, Du, Huaidong, Liu, Fang, Stevens, Rebecca, Chen, Junshi, Chen, Zhengming, Li, Liming, and Yu, Canqing
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GENOME-wide association studies ,SNORING ,DIASTOLIC blood pressure ,BODY mass index ,BLOOD pressure - Abstract
Despite the high prevalence of snoring in Asia, little is known about the genetic etiology of snoring and its causal relationships with cardiometabolic traits. Based on 100,626 Chinese individuals, a genome-wide association study on snoring was conducted. Four novel loci were identified for snoring traits mapped on SLC25A21, the intergenic region of WDR11 and FGFR, NAA25, ALDH2, and VTI1A, respectively. The novel loci highlighted the roles of structural abnormality of the upper airway and craniofacial region and dysfunction of metabolic and transport systems in the development of snoring. In the two-sample bi-directional Mendelian randomization analysis, higher body mass index, weight, and elevated blood pressure were causal for snoring, and a reverse causal effect was observed between snoring and diastolic blood pressure. Altogether, our results revealed the possible etiology of snoring in China and indicated that managing cardiometabolic health was essential to snoring prevention, and hypertension should be considered among snorers. A genome-wide association study in the China Kadoorie Biobank identified four novel loci related to snoring, and highlights the relevance of cardiometabolic health to snoring prevention. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Associations of diabetes, circulating protein biomarkers, and risk of pancreatic cancer.
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Pang, Yuanjie, Lv, Jun, Wu, Ting, Yu, Canqing, Guo, Yu, Chen, Yiping, Yang, Ling, Millwood, Iona Y., Walters, Robin G., Yang, Xiaoming, Stevens, Rebecca, Clarke, Robert, Chen, Junshi, Li, Liming, Chen, Zhengming, and Kartsonaki, Christiana
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Background: Type 2 diabetes (T2D) is associated with higher risk of pancreatic cancer (PC), but the underlying mechanisms are not fully understood. Methods: We conducted a case-subcohort study involving 610 PC cases and 623 subcohort participants with 92 protein biomarkers measured in baseline plasma samples. Genetically-instrumented T2D was derived using 86 single-nucleotide polymorphisms (SNPs), including insulin resistance (IR) SNPs. Results: In observational analyses of 623 subcohort participants (mean age, 52 years; 61% women), T2D was positively associated with 13 proteins (SD difference: IL6: 0.52 [0.23–0.81]; IL10: 0.41 [0.12–0.70]), of which 8 were nominally associated with incident PC. The 8 proteins potentially mediated 36.9% (18.7–75.0%) of the association between T2D and PC. In MR, no associations were observed for genetically-determined T2D with proteins, but there were positive associations of genetically-determined IR with IL6 and IL10 (SD difference: 1.23 [0.05–2.41] and 1.28 [0.31–2.24]). In two-sample MR, fasting insulin was associated with both IL6 and PC, but no association was observed between IL6 and PC. Conclusions: Proteomics were likely to explain the association between T2D and PC, but were not causal mediators. Elevated fasting insulin driven by insulin resistance might explain the associations of T2D, proteomics, and PC. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Binge-pattern alcohol consumption and genetic risk as determinants of alcohol-related liver disease.
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Ding, Chengyi, Ng Fat, Linda, Britton, Annie, Im, Pek Kei, Lin, Kuang, Topiwala, Anya, Li, Liming, Chen, Zhengming, Millwood, Iona Y., Bell, Steven, and Mehta, Gautam
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ALCOHOL-induced disorders ,ALCOHOL drinking ,LIVER diseases ,BINGE drinking ,DISEASE risk factors ,ALCOHOL - Abstract
Alcohol-related liver disease (ARLD) represents a major public health burden. Identification of high-risk individuals would allow efficient targeting of public health interventions. Here, we show significant interactions between pattern of drinking, genetic predisposition (polygenic risk score, PRS) and diabetes mellitus, and risk of incident ARLD, in 312,599 actively drinking adults in UK Biobank. Binge and heavy binge drinking significantly increase the risk of alcohol-related cirrhosis (ARC), with higher genetic predisposition further amplifying the risk. Further, we demonstrate a pronounced interaction between heavy binge drinking and high PRS, resulting in a relative excess risk due to interaction (RERI) of 6.07. Diabetes consistently elevates ARC risk across all drinking and PRS categories, and showed significant interaction with both binge patterns and genetic risk. Overall, we demonstrate synergistic effects of binge drinking, genetics, and diabetes on ARC, with potential to identify high-risk individuals for targeted interventions. Deaths from alcohol-related liver disease have sharply increased following the Covid-19 pandemic. Here, the authors show that binge-pattern alcohol consumption, genetic factors and the presence of diabetes mellitus confer the greatest risk, allowing targeted interventions for high-risk individuals. [ABSTRACT FROM AUTHOR]
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- 2023
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6. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
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Mahajan, Anubha, Spracklen, Cassandra N., Zhang, Weihua, Ng, Maggie C. Y., Petty, Lauren E., Kitajima, Hidetoshi, Yu, Grace Z., Rueger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M., Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R., Rayner, Nigel W., Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, Parolo, Pietro della Briotta, Lin, Kuang, Bragg, Fiona, Preuss, Michael H., Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel, Nakatochi, Masahiro, Scott, Robert A., Lee, Jung-Jin, Huerta-Chagoya, Alicia, Graff, Mariaelisa, Chai, Jin-Fang, Parra, Esteban J., Yao, Jie, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Steinthorsdottir, Valgerdur, Cook, James P., Kals, Mart, Grarup, Niels, Schmidt, Ellen M., Pan, Ian, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloe, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Ahmad, Meraj, Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Lecoeur, Cecile, Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Jensen, Richard A., Tajuddin, Salman, Kabagambe, Edmond K., An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Flanagan, Jack, Abaitua, Fernando, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Akiyama, Masato, Anand, Sonia S., Bertoni, Alain, Bian, Zheng, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A., Brummett, Chad M., Buchanan, Thomas A., Canouil, Mickael, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry, I, Fuchsberger, Christian, Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Maria Elena, Goodarzi, Mark O., Gordon-Larsen, Penny, Gorkin, David, Gross, Myron, Guo, Yu, Hackinger, Sophie, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jorgensen, Marit E., Jorgensen, Torben, Kamatani, Yoichiro, Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kohara, Katsuhiko, Kriebel, Jennifer, Kronenberg, Florian, Kuusisto, Johanna, Lall, Kristi, Lange, Leslie A., Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian'an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lyssenko, Valeriya, Mamakou, Vasiliki, Mani, K. Radha, Meitinger, Thomas, Metspalu, Andres, Morris, Andrew D., Nadkarni, Girish N., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Nongmaithem, Suraj S., Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Porneala, Bianca, Prasad, Gauri, Preissl, Sebastian, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Kathryn, Sabanayagam, Charumathi, Sander, Maike, Sandow, Kevin, Sattar, Naveed, Schonherr, Sebastian, Schurmann, Claudia, Shahriar, Mohammad, Shi, Jinxiu, Shin, Dong Mun, Shriner, Daniel, Smith, Jennifer A., So, Wing Yee, Stancakova, Alena, Stilp, Adrienne M., Strauch, Konstantin, Suzuki, Ken, Takahashi, Atsushi, Taylor, Kent D., Thorand, Barbara, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tomlinson, Brian, Torres, Jason M., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Vujkovic, Marijana, Wacher-Rodarte, Niels, Wheeler, Eleanor, Whitsel, Eric A., Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamauchi, Toshimasa, Yengo, Loic, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Hanis, Craig L., Peyser, Patricia A., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Zeggini, Eleftheria, Yokota, Mitsuhiro, Rich, Stephen S., Kooperberg, Charles, Pankow, James S., Engert, James C., Chen, Yii-Der Ida, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Kardia, Sharon L. R., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Groop, Leif, Mook-Kanamori, Dennis O., Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Pare, Guillaume, Sale, Michele M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Bottinger, Erwin P., Dehghan, Abbas, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Kottgen, Anna, Koh, Woon-Puay, Palmer, Colin N. A., Liu, Simin, Abecasis, Goncalo, Kooner, Jaspal S., Loos, Ruth J. F., North, Kari E., Haiman, Christopher A., Florez, Jose C., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Magi, Reedik, Langenberg, Claudia, Wareham, Nicholas J., Maeda, Shiro, Kadowaki, Takashi, Lee, Juyoung, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Myers, Simon R., Ferrer, Jorge, Gaulton, Kyle J., Meigs, James B., Mohlke, Karen L., Gloyn, Anna L., Bowden, Donald W., Below, Jennifer E., Chambers, John C., Sim, Xueling, Boehnke, Michael, Rotter, Jerome, I, McCarthy, Mark, I, Morris, Andrew P., Mahajan, Anubha, Spracklen, Cassandra N., Zhang, Weihua, Ng, Maggie C. Y., Petty, Lauren E., Kitajima, Hidetoshi, Yu, Grace Z., Rueger, Sina, Speidel, Leo, Kim, Young Jin, Horikoshi, Momoko, Mercader, Josep M., Taliun, Daniel, Moon, Sanghoon, Kwak, Soo-Heon, Robertson, Neil R., Rayner, Nigel W., Loh, Marie, Kim, Bong-Jo, Chiou, Joshua, Miguel-Escalada, Irene, Parolo, Pietro della Briotta, Lin, Kuang, Bragg, Fiona, Preuss, Michael H., Takeuchi, Fumihiko, Nano, Jana, Guo, Xiuqing, Lamri, Amel, Nakatochi, Masahiro, Scott, Robert A., Lee, Jung-Jin, Huerta-Chagoya, Alicia, Graff, Mariaelisa, Chai, Jin-Fang, Parra, Esteban J., Yao, Jie, Bielak, Lawrence F., Tabara, Yasuharu, Hai, Yang, Steinthorsdottir, Valgerdur, Cook, James P., Kals, Mart, Grarup, Niels, Schmidt, Ellen M., Pan, Ian, Sofer, Tamar, Wuttke, Matthias, Sarnowski, Chloe, Gieger, Christian, Nousome, Darryl, Trompet, Stella, Long, Jirong, Sun, Meng, Tong, Lin, Chen, Wei-Min, Ahmad, Meraj, Noordam, Raymond, Lim, Victor J. Y., Tam, Claudia H. T., Joo, Yoonjung Yoonie, Chen, Chien-Hsiun, Raffield, Laura M., Lecoeur, Cecile, Prins, Bram Peter, Nicolas, Aude, Yanek, Lisa R., Chen, Guanjie, Jensen, Richard A., Tajuddin, Salman, Kabagambe, Edmond K., An, Ping, Xiang, Anny H., Choi, Hyeok Sun, Cade, Brian E., Tan, Jingyi, Flanagan, Jack, Abaitua, Fernando, Adair, Linda S., Adeyemo, Adebowale, Aguilar-Salinas, Carlos A., Akiyama, Masato, Anand, Sonia S., Bertoni, Alain, Bian, Zheng, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A., Brummett, Chad M., Buchanan, Thomas A., Canouil, Mickael, Chan, Juliana C. N., Chang, Li-Ching, Chee, Miao-Li, Chen, Ji, Chen, Shyh-Huei, Chen, Yuan-Tsong, Chen, Zhengming, Chuang, Lee-Ming, Cushman, Mary, Das, Swapan K., de Silva, H. Janaka, Dedoussis, George, Dimitrov, Latchezar, Doumatey, Ayo P., Du, Shufa, Duan, Qing, Eckardt, Kai-Uwe, Emery, Leslie S., Evans, Daniel S., Evans, Michele K., Fischer, Krista, Floyd, James S., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Frayling, Timothy M., Freedman, Barry, I, Fuchsberger, Christian, Genter, Pauline, Gerstein, Hertzel C., Giedraitis, Vilmantas, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Maria Elena, Goodarzi, Mark O., Gordon-Larsen, Penny, Gorkin, David, Gross, Myron, Guo, Yu, Hackinger, Sophie, Han, Sohee, Hattersley, Andrew T., Herder, Christian, Howard, Annie-Green, Hsueh, Willa, Huang, Mengna, Huang, Wei, Hung, Yi-Jen, Hwang, Mi Yeong, Hwu, Chii-Min, Ichihara, Sahoko, Ikram, Mohammad Arfan, Ingelsson, Martin, Islam, Md Tariqul, Isono, Masato, Jang, Hye-Mi, Jasmine, Farzana, Jiang, Guozhi, Jonas, Jost B., Jorgensen, Marit E., Jorgensen, Torben, Kamatani, Yoichiro, Kandeel, Fouad R., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kaur, Varinderpal, Kawaguchi, Takahisa, Keaton, Jacob M., Kho, Abel N., Khor, Chiea-Chuen, Kibriya, Muhammad G., Kim, Duk-Hwan, Kohara, Katsuhiko, Kriebel, Jennifer, Kronenberg, Florian, Kuusisto, Johanna, Lall, Kristi, Lange, Leslie A., Lee, Myung-Shik, Lee, Nanette R., Leong, Aaron, Li, Liming, Li, Yun, Li-Gao, Ruifang, Ligthart, Symen, Lindgren, Cecilia M., Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Locke, Adam E., Louie, Tin, Luan, Jian'an, Luk, Andrea O., Luo, Xi, Lv, Jun, Lyssenko, Valeriya, Mamakou, Vasiliki, Mani, K. Radha, Meitinger, Thomas, Metspalu, Andres, Morris, Andrew D., Nadkarni, Girish N., Nadler, Jerry L., Nalls, Michael A., Nayak, Uma, Nongmaithem, Suraj S., Ntalla, Ioanna, Okada, Yukinori, Orozco, Lorena, Patel, Sanjay R., Pereira, Mark A., Peters, Annette, Pirie, Fraser J., Porneala, Bianca, Prasad, Gauri, Preissl, Sebastian, Rasmussen-Torvik, Laura J., Reiner, Alexander P., Roden, Michael, Rohde, Rebecca, Roll, Kathryn, Sabanayagam, Charumathi, Sander, Maike, Sandow, Kevin, Sattar, Naveed, Schonherr, Sebastian, Schurmann, Claudia, Shahriar, Mohammad, Shi, Jinxiu, Shin, Dong Mun, Shriner, Daniel, Smith, Jennifer A., So, Wing Yee, Stancakova, Alena, Stilp, Adrienne M., Strauch, Konstantin, Suzuki, Ken, Takahashi, Atsushi, Taylor, Kent D., Thorand, Barbara, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Tomlinson, Brian, Torres, Jason M., Tsai, Fuu-Jen, Tuomilehto, Jaakko, Tusie-Luna, Teresa, Udler, Miriam S., Valladares-Salgado, Adan, van Dam, Rob M., van Klinken, Jan B., Varma, Rohit, Vujkovic, Marijana, Wacher-Rodarte, Niels, Wheeler, Eleanor, Whitsel, Eric A., Wickremasinghe, Ananda R., van Dijk, Ko Willems, Witte, Daniel R., Yajnik, Chittaranjan S., Yamamoto, Ken, Yamauchi, Toshimasa, Yengo, Loic, Yoon, Kyungheon, Yu, Canqing, Yuan, Jian-Min, Yusuf, Salim, Zhang, Liang, Zheng, Wei, Raffel, Leslie J., Igase, Michiya, Ipp, Eli, Redline, Susan, Cho, Yoon Shin, Lind, Lars, Province, Michael A., Hanis, Craig L., Peyser, Patricia A., Ingelsson, Erik, Zonderman, Alan B., Psaty, Bruce M., Wang, Ya-Xing, Rotimi, Charles N., Becker, Diane M., Matsuda, Fumihiko, Liu, Yongmei, Zeggini, Eleftheria, Yokota, Mitsuhiro, Rich, Stephen S., Kooperberg, Charles, Pankow, James S., Engert, James C., Chen, Yii-Der Ida, Froguel, Philippe, Wilson, James G., Sheu, Wayne H. H., Kardia, Sharon L. R., Wu, Jer-Yuarn, Hayes, M. Geoffrey, Ma, Ronald C. W., Wong, Tien-Yin, Groop, Leif, Mook-Kanamori, Dennis O., Chandak, Giriraj R., Collins, Francis S., Bharadwaj, Dwaipayan, Pare, Guillaume, Sale, Michele M., Ahsan, Habibul, Motala, Ayesha A., Shu, Xiao-Ou, Park, Kyong-Soo, Jukema, J. Wouter, Cruz, Miguel, McKean-Cowdin, Roberta, Grallert, Harald, Cheng, Ching-Yu, Bottinger, Erwin P., Dehghan, Abbas, Tai, E-Shyong, Dupuis, Josee, Kato, Norihiro, Laakso, Markku, Kottgen, Anna, Koh, Woon-Puay, Palmer, Colin N. A., Liu, Simin, Abecasis, Goncalo, Kooner, Jaspal S., Loos, Ruth J. F., North, Kari E., Haiman, Christopher A., Florez, Jose C., Saleheen, Danish, Hansen, Torben, Pedersen, Oluf, Magi, Reedik, Langenberg, Claudia, Wareham, Nicholas J., Maeda, Shiro, Kadowaki, Takashi, Lee, Juyoung, Millwood, Iona Y., Walters, Robin G., Stefansson, Kari, Myers, Simon R., Ferrer, Jorge, Gaulton, Kyle J., Meigs, James B., Mohlke, Karen L., Gloyn, Anna L., Bowden, Donald W., Below, Jennifer E., Chambers, John C., Sim, Xueling, Boehnke, Michael, Rotter, Jerome, I, McCarthy, Mark, I, and Morris, Andrew P.
- Abstract
We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 x 10(-9)), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background. Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.
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- 2022
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- View/download PDF
7. The role of NMR-based circulating metabolic biomarkers in development and risk prediction of new onset type 2 diabetes.
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Bragg, Fiona, Kartsonaki, Christiana, Guo, Yu, Holmes, Michael, Du, Huaidong, Yu, Canqing, Pei, Pei, Yang, Ling, Jin, Donghui, Chen, Yiping, Schmidt, Dan, Avery, Daniel, Lv, Jun, Chen, Junshi, Clarke, Robert, Hill, Michael R., Li, Liming, Millwood, Iona Y., and Chen, Zhengming
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TYPE 2 diabetes ,BRANCHED chain amino acids ,HIGH density lipoproteins ,APOLIPOPROTEIN B ,BIOMARKERS ,FALSE discovery rate - Abstract
Associations of circulating metabolic biomarkers with type 2 diabetes (T2D) and their added value for risk prediction are uncertain among Chinese adults. A case-cohort study included 882 T2D cases diagnosed during 8-years' follow-up and a subcohort of 789 participants. NMR-metabolomic profiling quantified 225 plasma biomarkers in stored samples taken at recruitment into the study. Cox regression yielded adjusted hazard ratios (HRs) for T2D associated with individual biomarkers, with a set of biomarkers incorporated into an established T2D risk prediction model to assess improvement in discriminatory ability. Mean baseline BMI (SD) was higher in T2D cases than in the subcohort (25.7 [3.6] vs. 23.9 [3.6] kg/m
2 ). Overall, 163 biomarkers were significantly and independently associated with T2D at false discovery rate (FDR) controlled p < 0.05, and 138 at FDR-controlled p < 0.01. Branched chain amino acids (BCAA), apolipoprotein B/apolipoprotein A1, triglycerides in VLDL and medium and small HDL particles, and VLDL particle size were strongly positively associated with T2D (HRs 1.74–2.36 per 1 SD, p < 0.001). HDL particle size, cholesterol concentration in larger HDL particles and docosahexaenoic acid levels were strongly inversely associated with T2D (HRs 0.43–0.48, p < 0.001). With additional adjustment for plasma glucose, most associations (n = 147 and n = 129 at p < 0.05 and p < 0.01, respectively) remained significant. HRs appeared more extreme among more centrally adipose participants for apolipoprotein B/apolipoprotein A1, BCAA, HDL particle size and docosahexaenoic acid (p for heterogeneity ≤ 0.05). Addition of 31 selected biomarkers to an established T2D risk prediction model modestly, but significantly, improved risk discrimination (c-statistic 0.86 to 0.91, p < 0.001). In relatively lean Chinese adults, diverse metabolic biomarkers are associated with future risk of T2D and can help improve established risk prediction models. [ABSTRACT FROM AUTHOR]- Published
- 2022
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8. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors
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Bakker, Mark K., van der Spek, Rick A.A., van Rheenen, Wouter, Morel, Sandrine, Bourcier, Romain, Hostettler, Isabel C., Alg, Varinder S., van Eijk, Kristel R., Koido, Masaru, Akiyama, Masato, Terao, Chikashi, Matsuda, Koichi, Walters, Robin G., Lin, Kuang, Li, Liming, Millwood, Iona Y., Chen, Zhengming, Rouleau, Guy A., Zhou, Sirui, Rannikmäe, Kristiina, Sudlow, Cathie L.M., Houlden, Henry, van den Berg, Leonard H., Dina, Christian, Naggara, Olivier, Gentric, Jean-Christophe, Shotar, Eimad, Eugène, François, Desal, Hubert, Winsvold, Bendik S., Børte, Sigrid, Johnsen, Marianne Bakke, Brumpton, Ben M., Sandvei, Marie Søfteland, Willer, Cristen J., Hveem, Kristian, Zwart, John-Anker, Verschuren, W. M. Monique, Friedrich, Christoph M., Hirsch, Sven, Schilling, Sabine, Dauvillier, Jérôme, Martin, Olivier, Martinsen, Amy E, Aamodt, Anne Hege, Skogholt, Anne Heidi, Sandset, Else Charlotte, Kristoffersen, Espen S, Ellekjaer, Hanne, Heuch, Ingrid, Nielsen, Jonas Bille, Hagen, Knut, Fritsche, Lars, Thomas, Laurent F., Pedersen, Linda, Gabrielsen, Maiken E, Vigeland, Maria Dehli, Holmen, Oddgeir, Zhou, Wei, Chen, Junshi, Chen (PI), Zhengming, Clarke, Robert, Collins, Rory, Guo, Yu, Li (PI), Liming, Liu, Depei, Lv, Jun, Peto, Richard, Walters, Robin, Avery, Daniel, Boxall, Ruth, Bennett, Derrick, Chang, Yumei, Chen, Yiping, Du, Huaidong, Gan, Wei, Gilbert, Simon, Hacker, Alex, Hill, Michael, Holmes, Michael, Iona, Andri, Kartsonaki, Christiana, Kerosi, Rene, Kong, Ling, Lancaster, Garry, Lewington, Sarah, McDonnell, John, Millwood, Iona, Nie, Qunhua, Ryder, Paul, Sansome, Sam, Schmidt-Valle, Dan, Sherliker, Paul, Sohoni, Rajani, Stevens, Becky, Turnbull, Iain, Wang, Lin, Wright, Neil, Yang, Ling, Yang, Xiaoming, Yao, Pang, Bian, Zheng, Han, Xiao, Hou, Can, Pei, Pei, Liu, Chao, Yu, Canqing, Pang, Zengchang, Gao, Ruqin, Li, Shanpeng, Wang, Shaojie, Liu, Yongmei, Du, Ranran, Cheng, Liang, Tian, Xiaocao, Zhang, Hua, Zhai, Yaoming, Ning, Feng, Sun, Xiaohui, Li, Feifei, Lv, Silu, Wang, Junzheng, Hou, Wei, Zou, Mingyuan, Yan, Shichun, Zhou, Xue, Yu, Bo, Li, Yanjie, Xu, Qinai, Kang, Quan, Guo, Ziyan, Wang, Dan, Hu, Ximin, Chen, Jinyan, Fu, Yan, Wang, Xiaohuan, Weng, Min, 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, Hua, Yujie, 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 Sisi Wang, Yulu, 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, Zhou, Ding Zhang, Zhou, Gang, Feng, Shixian, Chang, Ling, Fan, Lei, Gao, Yulian, He, Tianyou, Sun, Huarong, He, Pan, Hu, Chen, Zhang, Xukui, Wu, Huifang, Yu, Min, Hu, Ruying, Wang, Hao, Gong, Weiwei, Wang, Meng, Xie, Kaixu, Chen, Lingli, Pan, Dongxia, Gu, Qijun, Huang, Yuelong, Chen, Biyun, Yin, Li, Liu, Huilin, Fu, Zhongxi, Xu, Qiaohua, Xu, Xin, Zhang, Hao, Long, Huajun, Zhang, Libo, Nagai, Akiko, Muto, Kaori, Hirata, Makoto, Morisaki, Takayuki, Yamashita, Yasushi, Kamatani, Yoichiro, Kambara, Yoko, Murakami, Yoshinori, Masumoto, Akihide, Nagayama, Satoshi, Miki, Yoshio, Yoshimori, Kozo, Fujioka, Tomoaki, Takata, Ryo, Yamaji, Ken, Takahashi, Kazuhisa, Asai, Satoshi, Takahashi, Yasuo, Minami, Shiro, Yamaguchi, Hiroki, Koretsune, Yukihiro, Nishizawa, Yasuko, Kodama, Ken, Kutsumi, Hiromu, Suzuki, Takao, Sinozaki, Nobuaki, Murayama, Shigeo, Furukawa, Yoichi, Yamanashi, Yuji, Papagiannaki, Chrisanthi, Piotin, Michel, Trystram, Denis, Edjlali-Goujon, Myriam, Boulouis, Grégoire, Rodriguez, Christine, Hassen, Waghi Ben, Saleme, Suzanna, Mounayer, Charbel, Rouchaud, Aymeric, Levrier, Olivier, Aguettaz, Pierre, Combaz, Xavier, Pasco, Anne, l’Allinec, Vincent, Bintner, Marc, Molho, Marc, Pascale, Gauthier, Chivot, Cyril, Costalat, Vincent, Darganzil, Cyril, Bonafé, Alain, Januel, Anne Christine, Michelozzi, Caterina, Cognard, Christophe, Bonneville, Fabrice, Tall, Philippe, Darcourt, Jean, Biondi, Alessandra, Iosif, Cristina, Ferre, Jean Christophe, Gauvrit, Jean Yves, Eugene, François, Raoult, Hélène, Gentric, Jean Christophe, Ognard, Julien, Anxionnat, René, Gory, Benjamin, Bracard, Serge, Derelle, Anne Laure, Tonnelet, Romain, Spelle, Laurent, Ikka, Léon, Ozanne, Augustin, Gallas, Sophie, Caroff, Jildaz, Achour, Nidal Ben, Moret, Jacques, Chabert, Emmanuel, Berge, Jérôme, Marnat, Gaultier, Barreau, Xavier, Gariel, Florent, Clarencon, Frédéric, Aggour, Mohammed, Ricolfi, Frédéric, Chavent, Adrien, Thouant, Pierre, Lebidinsky, Pablo, Lemogne, Brivael, Herbreteau, Denis, Bibi, Richard, Janot, Kevin, Pierot, Laurent, Soize, Sébastien, Labeyrie, Marc Antoine, Vandendries, Christophe, Kazemi, Appoline, Leclerc, Xavier, Pruvo, Jean Pierre, Bricout, Nicolas, Velasco, Stéphane, Boucebci, Samy, Lemmens, Robin, Pandolfo, Massimo, Bodenant, Marie, Louillet, Fabien, Mas, Jean-Louis, Deltour, Sandrine, Leder, Sara, Léger, Anne, Canaple, Sandrine, Godefroy, Olivier, Giroud, Maurice, Jacquin, Agnès, Moulin, Thierry, Vuillier, Fabrice, Tzourio, Christophe, Santos, Michael Dos, Malik, Rainer, Hausser, Ingrid, Thomas-Feles, Constanze, Weber, Ralf, Grond-Ginsbach, Caspar, Hacke, Werner, Giossi, Alessia, Volonghi, Irene, Costa, Paolo, del Zotto, Elisabetta, Morotti, Andrea, Poli, Loris, Muiesan, Maria Lorenza, Salvetti, Massimo, Rosei, Enrico Agabiti, Lanfranconi, Silvia, Baron, Pierluigi, Ferrarese, Carlo, Susani, Emanuela, Giacalone, Giacomo, Paolucci, Stefano, Palmirotta, Raffaele, Guadagni, Fiorella, Paciaroni, Maurizio, Ballabio, Elena, Parati, Eugenio A., Fluri, Felix, Hatz, Florian, Gisler, Dominique, Amort, Margareth, Bevan, Steve, James, Tom, Olsson, Sandra, Holmegaard, Lukas, Altintas, Ayse, Martin, Juan José, Kittner, Steven, Mitchell, Braxton, Stine, Colin, O’Connell, Jeff, Dueker, Nicole, Koudstaal, Peter J., de Lau, Lonneke M.L., Hofman, Albert, Verhaaren, Benjamin F, Uitterlinden, Andre G, Montaner, Joan, Mendioroz, Maite, Yadav, Sunaina, Khan, Muhammad Saleem, Wilder, Michael, van Dijk, Ewoud, Maaijwee, Noortje, Rutten-Jacobs, Loes, Kramer, Jamie, Malik, Shaneela, Brott, Thomas G, Brown, Robert D, Singleton, Andrew, Hardy, John, Rich, Stephen S, Tanislav, Christian, Jungehülsing, Jan, Werring, David, Alg, Varinder, Hostettler, Isabel, Bonner, Stephen, Walsh, Daniel, Bulters, Diederik, Kitchen, Neil, Brown, Martin, Grieve, Joan, Roberts, Gareth, Jones, Timothy, Critchley, Giles, Sharma, Pankaj, Nelson, Richard, Whitfield, Peter, Ross, Stuart, Patel, Hiren, Eldridge, Paul, Saastamoinen, Kari, Patel, Umang, Lawrance, Enas, Vandabona, Subha, Mendelow, David, Teal, Rachel, Warner, Orlando, Kirkpatrick, Peter, Seshadri, Sudha, Kilarski, Laura, Hyacinth, Hyacinth I, Oliveira, Jamary, Marini, Sandro, Nyquist, Paul, Lewis, Cathryn, Norrving, Bo, Smith, Gustav, Rosand, Jonathan, Biffi, Alessandro, Kourkoulis, Christina, Anderson, Chris, Giese, Anne-Katrin, Bang, Oh Young, Chung, Jong-Won, Kim, Gyeong-Moon, Zhuang, Qishuai, Sheu, Wayne, Smalley, June, Howson, Joanna, Granata, Alessandra, Markus, Hugh, Wardlaw, Joanna, Cole, John, Thalamuthu, Anbupalam, Hopewell, Jemma, Worrall, Bradford, Bis, Josh, Tirschwell, David, Reiner, Alex, Dhar, Raj, Lee, Jin-Moo, Mortenson, Janne, Wassertheil-Smoller, Sylvia, Prasad, Kameshwar, Fisher, Mark, Traenka, Christopher, Wang, Xingwu, Wang, Yongjun, Rouanet, Francois, Sibon, Igor, Sarnowski, Chloé, Maillard, Pauline, Aparicio, Hugo Javier, Dupuis, Josee, Yang, Qiong, Luvizutto, Gustavo, Chasman, Daniel, Rexrode, Kathryn, Harriot, Andrea, Phuah, Chia-Ling, Santo, Gustavo, Gerard, Jen, Liu, Guiyou, Aaron, Sanjith, Christudass, Christhunesa S., Salomi, BSB, Sanghera, Dharambir, Boehme, Amelia, Elkind, Mitchell, Gretarsdottir, Solveig, Lange, Leslie, Rost, Natalia, James, Michael, Stewart, Jill, Goldstein, Larry, Waddy, Salina, Vojinovic, Dina, Ikram, Arfan, Thijs, Vincent, Parati, Eugenio, Boncoraglio, Giorgio, Kooperberg, Charles, Abboud, Sherrine, Zand, Ramin, Bijlenga, Philippe, Selim, Magdy, Happola, Olli, Strbian, Daniel, Tomppo, Liisa, Pathak, Abhishek, Pfeiffer, Dorothea, Aires, de Buenos, de Carvalho, Joao Jose Freitas, Ribeiro, Priscila, Torres, Nuria, Barboza, Miguel, Plomaritoglou, Androniki, Bjorkegren, Johan, Chan, Yu-Feng Yvonne, Gudnason, Villi, Jimenez-Conde, Jordi, Soriano, Carolina, Roquer, Jaume, Bentley, Paul, Tournier-Lasserve, Elisabeth, Dufouil, Carole, Debette, Stephanie, Mishra, Aniket, Wee, Lawrence, Siddiqi, Saima, Wu, Jer-Yuarn, Ko, Tai-Ming, Bione, Silvia, Jood, Katarina, Tatlisumak, Turgut, Arauz, Antonio, Korostynski, Michal, Launer, Lenore, Yue, Suo, bersano, anna, Juchniewicz, Karol Józef, Mateusz, Adamski, Pera, Joanna, Wnuk, Marcin, Levi, Christopher, Gusdon, Aaron, Kostulas, Konstantinos, Maxwell, Jessye, Duering, Marco, Jagiella, Jeremiasz, Hata, Jun, Ninomiya, Toshiharu, Nguyen, Vinh, Thorarinsson, Bjorn Logi, Lee, Tsong-Hai, Rakitko, Alexandr, Dichgans, Martin, Lindgren, Arne, Wasselius, Johan, Drake, Mattias, Stenman, Martin, Ilinca, Andreea, Staals, Julie, Sadr-Nabavi, Ariane, Crawford, Katherine, Lena, Umme, Mateen, Farrah, Ay, Hakan, Wu, Ona, Schirmer, Markus, Romero, Javier, Cramer, Steve, Golland, Polina, Mueller, Bertram, Brown, Robert, Meschia, James, Ross, Owen A., Pare, Guillaume, Chong, Mike, mansour, Ossama yassin, Karaszewski, Bartosz, Enzinger, Christian, Schmidt, Reinhold, Seiler, Stephan, Pichler, Alexander, Ovbiagele, Bruce, Yamada, Yoshiji, Rundek, Tatjana, Blanton, Susan, P, John, Chern, Joseph, O'Donnell, Chris, Corriveau, Roderick, Bhattacharya, Pallab, Gwinn, Katrina, CHANDRA, BHARATENDU, Chen, Christopher, Kalaria, Raj, Koenig, Jim, Singh, Om Prakash, Olugbodi, Akintomi, Giralt, Eva, Saleheen, Danish, de Leeuw, Frank-Erik, Klijn, Karin, Olesen, Jes, Kubo, Michiaki, Spence, David, Pedersen, Annie, Olsson, Maja, Martín, Juan José, Braga, Gabriel, Xu, Huichun, Assimes, Tim, Raskurazhev, Anton, Lee, Wei Ling, Burri, Philippe, Frid, Petrea, GmbH, Heilbronn, Deng, Zhen, Habibi-koolaee, Mahdi, Vijayan, Murali, Leung, Thomas, Wong, Lawrence, Mok, Vincent, Choy, Richard, Jern, Christina, Lebedeva, Elena, Farrall, Martin, Jiayuan, Xu, Loo, Keat Wei, Rinkel, Gabriel, Magnus, Rudolf, Goncalves, Anderson, Franca, Paulo, Cendes, Iscia, Carrera, Caty, Fernandez-Cadenas, Israel, Kim, Helen, Rolfs, Arndt, Owolabi, Mayowa, Bakker, Mark, Ruigrok, Ynte, Hauer, Allard, Pulit, Sara L., Algra, Ale, van der Laan, Sander W., Macleod, Mary, Howard, George, Tiwari, Hemant, Irvin, Ryan, Albright, Karen C., Perry, Rodney, Kidwell, Chelsea, Pavlovic, Aleksandra, Sargurupremraj, Murali, Schilling, Sabrina, Pezzini, Alessandro, Abd-Allah, Foad, DeCarli, Charles, Liebeskind, David, Traylor, Matthew, Tan, Rhea, Danesh, John, Larsson, Susanna C., Rutten, Loes, Donatti, Amanda, Avelar, Wagner, Broderick, Joseph, Woo, Daniel, Kissela, Brett, Ibenez, Laura Garcia, Salman, Rustam, Sudlow, Cathie, McDonough, Caitrin Wheeler, Silliman, Scott, Magvanjav, Oyunbileg, van Agtmael, Tom, Walters, Matthew, Lorentzen, Erik, Stanne, Tara, Olsson, Martina, Nakagawa, Kazuma, Akinyemi, Rufus, Cotlatciuc, Ioana, O'Connell, Jeff, Sparks, Mary, Sorkin, John, Dave, Tushar, Naylor, Jill, Brown, Devin, Du, Rose, Kulik, Tobias B., Attia, John, Faber, James E, Rothwell, Peter, Márquez, Elsa Valdés, Mancuso, Michelangelo, Souza, Doralina Brum, de Silva, Ranil, Vibo, Riina, Korv, Janika, Maguire, Jane, Fornage, Myriam, Illoh, Kachikwu, Milewicz, Dianna, Majersik, Jennifer, DeHavenon, Adam, Kalani, Yashar, Alexander, Matthew, Cushman, Mary, Sale, Michele, Owens, Debra, Keene, Keith, Rich, Stephe, Psaty, Bruce, Longstreth, Will, Atadzhanov, Masharip, Wolfe, Stacey Quintero, Langefeld, Carl, Bushnell, Cheryl, Cruchaga, Carlos, Konrad, Jan, Liu, Junfeng, Sheth, Kevin, Falcone, Guido, Donahue J, Kathleen, Jones, Gregory T., Bown, Matthew J., Ko, Nerissa U., Coleman, Jonathan R.I., Breen, Gerome, Zaroff, Jonathan G., Klijn, Catharina J.M., Sargurupremraj, Muralidharan, Amouyel, Philippe, Debette, Stéphanie, Rinkel, Gabriel J.E., Worrall, Bradford B., Slowik, Agnieszka, Gaál-Paavola, Emilia I., Niemelä, Mika, Jääskeläinen, Juha E., von Und Zu Fraunberg, Mikael, Lindgren, Antti, Broderick, Joseph P., Werring, David J., Redon, Richard, Veldink, Jan H., Ruigrok, Ynte M., Stroke, HUNT All-In, Group, China Kadoorie Biobank Collaborative, Consortium, BioBank Japan Project, Group, ICAN Study, Group, CADISP, investigators, Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study, (ISGC), International Stroke Genetics Consortium, Morel, Sandrine, and Bijlenga, Philippe Alexandre Pierre
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genetics [Blood Pressure] ,Medizin ,Genome-wide association study ,Blood Pressure ,Disease ,ddc:616.07 ,Bioinformatics ,616: Innere Medizin und Krankheiten ,0302 clinical medicine ,Risk Factors ,physiopathology [Hypertension] ,genetics [Genetic Predisposition to Disease] ,Genetic risk factor ,Stroke ,0303 health sciences ,Smoking ,genetics [Smoking] ,genetics [Intracranial Aneurysm] ,Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3] ,Cerebrovascular disorder ,3. Good health ,genetics [European Continental Ancestry Group] ,Hypertension ,genetics [Polymorphism, Single Nucleotide] ,Subarachnoid hemorrhage ,pathology [Intracranial Aneurysm] ,genetics [White People] ,Biology ,Genetic correlation ,pathology [Endothelial Cells] ,Polymorphism, Single Nucleotide ,Article ,White People ,03 medical and health sciences ,Aneurysm ,Asian People ,ddc:570 ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,cardiovascular diseases ,030304 developmental biology ,genetics [Subarachnoid Hemorrhage] ,genetics [Asian Continental Ancestry Group] ,572: Biochemie ,genetics [Asian People] ,pathology [Subarachnoid Hemorrhage] ,adverse effects [Smoking] ,Endothelial Cells ,Subarachnoid Hemorrhage ,medicine.disease ,Intracranial aneurysm ,Genetic architecture ,ddc:616.8 ,Case-Control Studies ,genetics [Hypertension] ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
An author correction to this article published in December 2020 is available at https://doi.org/10.1038/s41588-020-00760-4. Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.
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- 2021
9. Conventional and genetic risk factors for chronic Hepatitis B virus infection in a community-based study of 0.5 million Chinese adults.
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Hamilton, Elizabeth, Yang, Ling, Mentzer, Alexander J., Guo, Yu, Chen, Yiping, Lv, Jun, Fletcher, Robert, Wright, Neil, Lin, Kuang, Walters, Robin, Kartsonaki, Christiana, Yang, Yingcai, Burgess, Sushila, Sansome, Sam, Li, Liming, Millwood, Iona Y., and Chen, Zhengming
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DISEASE risk factors ,CHRONIC hepatitis B ,HEPATITIS associated antigen ,HEPATITIS B ,SINGLE nucleotide polymorphisms ,HEPATITIS B virus ,ADULTS - Abstract
Despite universal vaccination of newborns, the prevalence of chronic hepatitis virus B (HBV) infection and the associated disease burden remain high among adults in China. We investigated risk factors for chronic HBV infection in a community-based study of 512,726 individuals aged 30–79 years recruited from ten diverse areas during 2004–2008. Multivariable logistic regression was used to estimate odds ratios (ORs) of hepatitis B surface antigen (HBsAg) positivity recorded at baseline by sociodemographic and lifestyle factors, and medical history. In a random subset (n = 69,898) we further assessed the association of 18 single nucleotide polymorphisms (SNPs) previously shown to be associated with HBsAg positivity and development of chronic liver disease (CLD) (1600 cases). Several factors showed strong associations with HBsAg positivity, particularly younger age (< 40 vs. ≥ 60 years: OR 1.48, 95% CI 1.32–1.66), male sex (1.40, 1.34–1.46) and urban residency (1.55, 1.47–1.62). Of the 18 SNPs selected, 17 were associated with HBsAg positivity, and 14 with CLD, with SNPs near HLA-DPB1 were most strongly associated with both outcomes. In Chinese adults a range of genetic and non-genetic factors were associated with chronic HBV infection and CLD, which can inform targeted screening to help prevent disease progression. [ABSTRACT FROM AUTHOR]
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- 2022
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10. Applying Mendelian randomization to appraise causality in relationships between nutrition and cancer.
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Wade, Kaitlin H., Yarmolinsky, James, Giovannucci, Edward, Lewis, Sarah J., Millwood, Iona Y., Munafò, Marcus R., Meddens, Fleur, Burrows, Kimberley, Bell, Joshua A., Davies, Neil M., Mariosa, Daniela, Kanerva, Noora, Vincent, Emma E., Smith-Byrne, Karl, Guida, Florence, Gunter, Marc J., Sanderson, Eleanor, Dudbridge, Frank, Burgess, Stephen, and Cornelis, Marilyn C.
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NUTRITION ,GENETIC variation ,GERM cells ,DIET ,TUMORS ,TUMOR markers ,CAUSALITY (Physics) - Abstract
Dietary factors are assumed to play an important role in cancer risk, apparent in consensus recommendations for cancer prevention that promote nutritional changes. However, the evidence in this field has been generated predominantly through observational studies, which may result in biased effect estimates because of confounding, exposure misclassification, and reverse causality. With major geographical differences and rapid changes in cancer incidence over time, it is crucial to establish which of the observational associations reflect causality and to identify novel risk factors as these may be modified to prevent the onset of cancer and reduce its progression. Mendelian randomization (MR) uses the special properties of germline genetic variation to strengthen causal inference regarding potentially modifiable exposures and disease risk. MR can be implemented through instrumental variable (IV) analysis and, when robustly performed, is generally less prone to confounding, reverse causation and measurement error than conventional observational methods and has different sources of bias (discussed in detail below). It is increasingly used to facilitate causal inference in epidemiology and provides an opportunity to explore the effects of nutritional exposures on cancer incidence and progression in a cost-effective and timely manner. Here, we introduce the concept of MR and discuss its current application in understanding the impact of nutritional factors (e.g., any measure of diet and nutritional intake, circulating biomarkers, patterns, preference or behaviour) on cancer aetiology and, thus, opportunities for MR to contribute to the development of nutritional recommendations and policies for cancer prevention. We provide applied examples of MR studies examining the role of nutritional factors in cancer to illustrate how this method can be used to help prioritise or deprioritise the evaluation of specific nutritional factors as intervention targets in randomised controlled trials. We describe possible biases when using MR, and methodological developments aimed at investigating and potentially overcoming these biases when present. Lastly, we consider the use of MR in identifying causally relevant nutritional risk factors for various cancers in different regions across the world, given notable geographical differences in some cancers. We also discuss how MR results could be translated into further research and policy. We conclude that findings from MR studies, which corroborate those from other well-conducted studies with different and orthogonal biases, are poised to substantially improve our understanding of nutritional influences on cancer. For such corroboration, there is a requirement for an interdisciplinary and collaborative approach to investigate risk factors for cancer incidence and progression. [ABSTRACT FROM AUTHOR]
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- 2022
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11. Investigation into the Health Effects of Reduced Chymase Function Using Predicted Loss-of-Function Mutations in CMA1.
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Fairhurst-Hunter, Zammy, Walters, Robin G., Zink, Alexander, Lin, Kuang, Guo, Yu, Yu, Canqing, Lv, Jun, Li, Liming, Freitag, Daniel F., Chen, Zhengming, and Millwood, Iona Y.
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Tissue remodelling and fibrosis which occur in response to injury play a central role in the development of many diseases. Chymase is a key enzyme believed to mediate these pathological processes. As such, chymase inhibitors have been under active development for the treatment of a number of conditions. To investigate the impact of reduced chymase function, we constructed a genetic score from two pLoF mutations in the gene encoding chymase and tested its association with diseases and biomarkers. Our study found no association between the genetically-predicted reduced chymase function score and heart failure, chronic kidney disease or other predefined conditions. We additionally found no association of the score with any physical measurements or biomarkers. Our results provide no evidence in support of chymase inhibition as a novel therapeutic strategy for the treatment or prevention of heart failure, chronic kidney disease or major cardiovascular events, as previously proposed. [ABSTRACT FROM AUTHOR]
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- 2022
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12. Causal effects of gallstone disease on risk of gastrointestinal cancer in Chinese.
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Pang, Yuanjie, Lv, Jun, Kartsonaki, Christiana, Guo, Yu, Yu, Canqing, Chen, Yiping, Yang, Ling, Bian, Zheng, Millwood, Iona Y., Walters, Robin G., Li, Xiaojun, Zou, Ju, Holmes, Michael V., Chen, Junshi, Chen, Zhengming, and Li, Liming
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Background: Gallstone disease (GSD) is associated with a higher risk of gastrointestinal (GI) cancer. However, it is unclear whether the associations are causal.Methods: The prospective China Kadoorie Biobank (CKB) recorded 17,598 cases of GI cancer among 510,137 participants without cancer at baseline during 10 years of follow-up. Cox regression was used to estimate hazard ratios (HRs) for specific cancer by GSD status and duration. Mendelian randomisation was conducted to assess the genetic associations of GSD with specific cancer.Results: Overall 6% of participants had symptomatic GSD at baseline. Compared with those without GSD, individuals with symptomatic GSD had adjusted HRs of 1.13 (1.01-1.29) for colorectal, 2.01 (1.78-2.26) for liver, 3.70 (2.88-4.87) for gallbladder, 2.31 (1.78-3.07) for biliary tract, and 1.38 (1.18-1.74) for pancreatic cancer. Compared with participants without GSD, the risks of colorectal, liver, gallbladder, biliary tract, and pancreatic cancer were highest during 0 to <5 years following disease diagnosis. There was evidence of genetic associations of GSD with these cancers, with odds ratios per 1-SD genetic score of 1.08 (1.05-1.11) for colorectal, 1.22 (1.19-1.25) for liver, 1.56 (1.49-1.64) for gallbladder, 1.39 (1.31-1.46) for biliary tract, and 1.16 (1.10-1.22) for pancreatic cancer. When meta-analysing the genetic estimates in CKB and UK Biobank, there was evidence of causal associations of GSD with colon cancer, gallbladder and biliary tract cancer (GBTC), and total GI cancer (RR per 1-SD: 1.05 [0.99-1.11], 2.00 [1.91-2.09], and 1.09 [1.05-1.13]).Conclusions: GSD was associated with higher risks of several GI cancers, warranting future studies on the underlying mechanisms. [ABSTRACT FROM AUTHOR]- Published
- 2021
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13. Red meat, poultry and fish consumption and risk of diabetes: a 9 year prospective cohort study of the China Kadoorie Biobank.
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Du, Huaidong, Guo, Yu, Bennett, Derrick A., Bragg, Fiona, Bian, Zheng, Chadni, Mahmuda, Yu, Canqing, Chen, Yiping, Tan, Yunlong, Millwood, Iona Y., Gan, Wei, Yang, Ling, Yao, Pang, Luo, Guojin, Li, Jianguo, Qin, Yulu, Lv, Jun, Lin, Xu, Key, Tim, and Chen, Junshi
- Abstract
Aims/hypothesis: Previous evidence linking red meat consumption with diabetes risk mainly came from western countries, with little evidence from China, where patterns of meat consumption are different. Moreover, global evidence remains inconclusive about the associations of poultry and fish consumption with diabetes. Therefore we investigated the associations of red meat, poultry and fish intake with incidence of diabetes in a Chinese population. Methods: The prospective China Kadoorie Biobank recruited ~512,000 adults (59% women, mean age 51 years) from ten rural and urban areas across China in 2004–2008. At the baseline survey, a validated interviewer-administered laptop-based questionnaire was used to collect information on the consumption frequency of major food groups including red meat, poultry, fish, fresh fruit and several others. During ~9 years of follow-up, 14,931 incidences of new-onset diabetes were recorded among 461,036 participants who had no prior diabetes, cardiovascular diseases or cancer at baseline. Cox regression analyses were performed to calculate adjusted HRs for incident diabetes associated with red meat, poultry and fish intake. Results: At baseline, 47.0%, 1.3% and 8.9% of participants reported a regular consumption (i.e. ≥4 days/week) of red meat, poultry and fish, respectively. After adjusting for adiposity and other potential confounders, each 50 g/day increase in red meat and fish intake was associated with 11% (HR 1.11 [95% CI 1.04, 1.20]) and 6% (HR 1.06 [95% CI 1.00, 1.13]) higher risk of incident diabetes, respectively. For both, the associations were more pronounced among men and women from urban areas, with an HR (95% CI) of 1.42 (1.15, 1.74) and 1.18 (1.03, 1.36), respectively, per 50 g/day red meat intake and 1.15 (1.02, 1.30) and 1.11 (1.01, 1.23), respectively, per 50 g/day fish intake. There was no significant association between diabetes and poultry intake, either overall (HR 0.96 [95% CI 0.83, 1.12] per 50 g/day intake) or in specific population subgroups. Conclusions/interpretation: In Chinese adults, both red meat and fish, but not poultry, intake were positively associated with diabetes risk, particularly among urban participants. Our findings add new evidence linking red meat and fish intake with cardiometabolic diseases. Data availability: Details of how to access the China Kadoorie Biobank data and rules of China Kadoorie Biobank data release are available from www.ckbiobank.org/site/Data+Access. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
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14. Systemic inflammation is associated with incident stroke and heart disease in East Asians.
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Karim, Mohd A., Kartsonaki, Christiana, Bennett, Derrick A., Millwood, Iona Y., Hill, Michael R., Avery, Daniel, Bian, Zheng, Du, Huaidong, Guo, Yu, Qian, Yijian, Qu, Chan, Turnbull, Iain, Schmidt-Valle, Dan, Wang, Chunmei, Yu, Canqing, Lv, Jun, Chen, Junshi, Clarke, Robert, Li, Liming, and Chen, Zhengming
- Subjects
INFLAMMATION ,STROKE patients ,HEART diseases ,EAST Asians ,CORONARY disease - Abstract
Systemic inflammation, reflected by increased plasma concentrations of C-reactive protein (CRP) and fibrinogen, is associated with increased risk of coronary heart disease, but its relevance for stroke types remains unclear. Moreover, evidence is limited in non-European populations. We investigated associations of CRP and fibrinogen with risks of incident major coronary events (MCE), ischemic stroke (IS) and intracerebral hemorrhage (ICH) in a cohort of Chinese adults. A nested case-control study within the prospective China Kadoorie Biobank included 1,508 incident MCE cases, 5,418 IS cases, 4,476 ICH cases, and 5,285 common controls, aged 30–79 years. High-sensitivity CRP and low-density lipoprotein cholesterol (LDL-C) were measured in baseline plasma samples from all participants, and fibrinogen in a subset (n = 9,380). Logistic regression yielded adjusted odds ratios (ORs) per SD higher usual levels of log-transformed CRP and fibrinogen. The overall mean (SD) baseline LDL-C was 91.6 mg/dL (24.0) and geometric mean (95% CI) CRP and fibrinogen were 0.90 mg/L (0.87–0.93) and 3.01 g/L (2.98–3.03), respectively. There were approximately log-linear positive associations of CRP with each outcome, which persisted after adjustment for LDL-C and other risk factors, with adjusted ORs (95% CI) per SD higher CRP of 1.67 (1.44–1.94) for MCE and 1.22 (1.10–1.36) for both IS and ICH. No associations of fibrinogen with MCE, IS, or ICH were identified. Adding CRP to prediction models based on established risk factors improved model fit for each of MCE, IS, and ICH, with small improvements in C-statistic and correct reclassification of controls to lower risk groups. Among Chinese adults, who have low mean LDL-C, CRP, but not fibrinogen, was independently associated with increased risks of MCE and stroke. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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15. Adiposity and risks of colorectal and small intestine cancer in Chinese adults: a prospective study of 0.5 million people.
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Pang, Yuanjie, Kartsonaki, Christiana, Guo, Yu, Chen, Yiping, Yang, Ling, Bian, Zheng, Bragg, Fiona, Millwood, Iona Y., Mao, Enke, Li, Yilei, Shi, Liya, Chen, Junshi, Li, Liming, Holmes, Michael V., and Chen, Zhengming
- Abstract
Background: Uncertainty remains about the associations of adiposity with intestinal cancer in China and by its anatomical subtype.Methods: The prospective China Kadoorie Biobank recorded 3024 incident cases of colorectal (CRC) and 143 cases of small intestine (SIC) cancer during a 10-year follow-up among 509 568 participants without prior cancer at baseline. Cox regression was used to estimate adjusted hazard ratios (HRs) for specific cancers associated with adiposity.Results: Overall mean body mass index (BMI) was 23.7 kg/m2. BMI was positively associated with CRC (HR per SD 1.10 [95% CI 1.06-1.14]), colon (1.13 [1.07-1.18]), and rectal (1.07 [1.02-1.13]) cancer. For waist circumference, the corresponding HRs per SD were 1.14 (1.10-1.18), 1.18 (1.13-1.24), and 1.11 (1.05-1.16), respectively. The adjusted HRs were somewhat greater in men than women. Adiposity was positively, but non-significantly, associated with SIC risk.Conclusions: Among relatively lean Chinese adults, adiposity was associated with risks of colon and rectal cancer, with the associations somewhat stronger in men than women. [ABSTRACT FROM AUTHOR]- Published
- 2018
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16. Association of the TNF-α-308 (G→A) polymorphism with self-reported history of childhood asthma.
- Author
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Winchester, Elizabeth C., Millwood, Iona Y., Rand, Lucinda, Penny, Michelle A., and Kessling, Anna M.
- Subjects
TUMOR necrosis factors ,ASTHMA ,LUNG diseases ,GENETIC polymorphisms ,GENETICS ,JUVENILE diseases - Abstract
Asthma is a complex disease involving genetic and environmental aetiology. The tumour necrosis factor-alpha (TNF-α) and angiotensin-converting enzyme (ACE) genes have been implicated in asthma pathogenesis. This study investigated the association of a G-308A variant of TNF-α and an insertion/deletion (I/D) variant of ACE with a self-reported history of childhood asthma, in two population groups. At Northwick Park Hospital, London, 1,811 pregnant women attending for antenatal care were recruited. Participants with a self-reported history of childhood asthma, determined by a researcher-administered questionnaire, and controls with no personal or family history of asthma, of UK/Irish (cases n=20; controls n=416) and South Asian (cases n=6; controls n=275) origin were used in this study. Participants were genotyped for the TNF-α-308 and ACE I/D variants by a PCR-RFLP and PCR approach. The TNF-α-308 allele 2 (-308A) was significantly associated with self-reported childhood asthma in the UK/Irish (Odds ratios (OR): 2.6; 95% confidence intervals (CI): 1.1–6.2; P=0.03) but not in the South Asian population. The ACE DD genotype was not associated with childhood asthma in either population group. Gametic phase disequilibrium between the TNF-α-308 and ACE I/D variants was significantly different from zero in UK/Irish cases (Δ=0.09; P=0.034). The TNF-α-308 allele 2 or a linked major histocompatibility complex (MHC) variant may be a genetic risk factor for childhood asthma in the UK/Irish sample. [ABSTRACT FROM AUTHOR]
- Published
- 2000
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17. The genetic architecture of sporadic and multiple consecutive miscarriage.
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Laisk, Triin, Soares, Ana Luiza G., Ferreira, Teresa, Painter, Jodie N., Censin, Jenny C., Laber, Samantha, Bacelis, Jonas, Chen, Chia-Yen, Lepamets, Maarja, Lin, Kuang, Liu, Siyang, Millwood, Iona Y., Ramu, Avinash, Southcombe, Jennifer, Andersen, Marianne S., Yang, Ling, Becker, Christian M., Børglum, Anders D., Gordon, Scott D., and Bybjerg-Grauholm, Jonas
- Subjects
MISCARRIAGE ,PREGNANCY complications ,GENETIC correlations ,GENE frequency ,ODDS ratio - Abstract
Miscarriage is a common, complex trait affecting ~15% of clinically confirmed pregnancies. Here we present the results of large-scale genetic association analyses with 69,054 cases from five different ancestries for sporadic miscarriage, 750 cases of European ancestry for multiple (≥3) consecutive miscarriage, and up to 359,469 female controls. We identify one genome-wide significant association (rs146350366, minor allele frequency (MAF) 1.2%, P = 3.2 × 10
−8 , odds ratio (OR) = 1.4) for sporadic miscarriage in our European ancestry meta-analysis and three genome-wide significant associations for multiple consecutive miscarriage (rs7859844, MAF = 6.4%, P = 1.3 × 10−8 , OR = 1.7; rs143445068, MAF = 0.8%, P = 5.2 × 10−9 , OR = 3.4; rs183453668, MAF = 0.5%, P = 2.8 × 10−8 , OR = 3.8). We further investigate the genetic architecture of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation analyses. Our results show that miscarriage etiopathogenesis is partly driven by genetic variation potentially related to placental biology, and illustrate the utility of large-scale biobank data for understanding this pregnancy complication. Miscarriage affects around 15% of clinically confirmed pregnancies. Here the authors carry out a large genome-wide association study for sporadic and multiple consecutive miscarriage and suggest links with placental biology. [ABSTRACT FROM AUTHOR]- Published
- 2020
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18. The transferability of lipid loci across African, Asian and European cohorts.
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Kuchenbaecker, Karoline, Telkar, Nikita, Reiker, Theresa, Walters, Robin G., Lin, Kuang, Eriksson, Anders, Gurdasani, Deepti, Gilly, Arthur, Southam, Lorraine, Tsafantakis, Emmanouil, Karaleftheri, Maria, Seeley, Janet, Kamali, Anatoli, Asiki, Gershim, Millwood, Iona Y., Holmes, Michael, Du, Huaidong, Guo, Yu, Kumari, Meena, and Dedoussis, George
- Subjects
BLOOD lipids ,CARDIOVASCULAR diseases risk factors ,GENETIC correlations ,SERUM ,GENOTYPE-environment interaction - Abstract
Most genome-wide association studies are based on samples of European descent. We assess whether the genetic determinants of blood lipids, a major cardiovascular risk factor, are shared across populations. Genetic correlations for lipids between European-ancestry and Asian cohorts are not significantly different from 1. A genetic risk score based on LDL-cholesterol-associated loci has consistent effects on serum levels in samples from the UK, Uganda and Greece (r = 0.23–0.28, p < 1.9 × 10
−14 ). Overall, there is evidence of reproducibility for ~75% of the major lipid loci from European discovery studies, except triglyceride loci in the Ugandan samples (10% of loci). Individual transferable loci are identified using trans-ethnic colocalization. Ten of fourteen loci not transferable to the Ugandan population have pleiotropic associations with BMI in Europeans; none of the transferable loci do. The non-transferable loci might affect lipids by modifying food intake in environments rich in certain nutrients, which suggests a potential role for gene-environment interactions. The majority of published GWAS was performed in European ancestry populations. Here, Kuchenbaecker et al., test to which extent lipid loci are shared and find that the major lipid loci are mostly transferrable between Europeans and Asians while there are notable exceptions for African populations. [ABSTRACT FROM AUTHOR]- Published
- 2019
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19. Adiposity in relation to risks of fatty liver, cirrhosis and liver cancer: a prospective study of 0.5 million Chinese adults.
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Pang, Yuanjie, Kartsonaki, Christiana, Turnbull, Iain, Guo, Yu, Chen, Yiping, Clarke, Robert, Bian, Zheng, Bragg, Fiona, Millwood, Iona Y., Yang, Ling, Huang, Ying, Yang, Yan, Zhang, Xukui, Chen, Junshi, Li, Liming, Holmes, Michael V., and Chen, Zhengming
- Abstract
Adiposity is an increasing public health problem in China. We aimed to examine the associations of adiposity with non-alcoholic fatty liver disease (NAFLD) and other chronic liver diseases in Chinese adults. The prospective China Kadoorie Biobank recruited 512,891 adults aged 30-79 years from 10 areas. During 10 years of follow-up, 7,386 incident liver disease cases were recorded among 503,991 participants without prior cancer or chronic liver disease at baseline. The mean body mass index (BMI) (SD) was 23.7 (3.3) kg/m
2 and mean waist circumference (WC) 80.3 (9.8) cm, with 33% having BMI ≥25 kg/m2 . Throughout the range examined (BMI 15-50) BMI showed a log-linear positive association with NAFLD (n = 1,298), with adjusted HR per 5 kg/m2 of 2.81 (95% CI 2.63-3.01), adjusting for regression dilution. There were also positive associations of percent body fat, WC, and waist-to-hip ratio with NAFLD, with HRs per 1-SD of 2.27 (2.14-2.41), 2.60 (2.44-2.76), and 1.84 (1.76-1.92). BMI was unrelated to viral hepatitis (n = 1,477), and had a U-shaped association with cirrhosis (n = 2,082) and an inverse association with liver cancer (n = 2,568), which disappeared after excluding the first 5 years of follow-up. Among Chinese adults, adiposity was a major risk factor for NAFLD but not other chronic liver diseases. [ABSTRACT FROM AUTHOR]- Published
- 2019
- Full Text
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