875 results on '"Qiuyin Cai"'
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2. Associations of neighborhood sociodemographic environment with mortality and circulating metabolites among low-income black and white adults living in the southeastern United States
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Kui Deng, Meng Xu, Melis Sahinoz, Qiuyin Cai, Martha J. Shrubsole, Loren Lipworth, Deepak K. Gupta, Debra D. Dixon, Wei Zheng, Ravi Shah, and Danxia Yu
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Neighborhood deprivation ,Residential segregation ,Social vulnerability ,Mortality ,Metabolomics ,Medicine - Abstract
Abstract Background Residing in a disadvantaged neighborhood has been linked to increased mortality. However, the impact of residential segregation and social vulnerability on cause-specific mortality is understudied. Additionally, the circulating metabolic correlates of neighborhood sociodemographic environment remain unexplored. Therefore, we examined multiple neighborhood sociodemographic metrics, i.e., neighborhood deprivation index (NDI), residential segregation index (RSI), and social vulnerability index (SVI), with all-cause and cardiovascular disease (CVD) and cancer-specific mortality and circulating metabolites in the Southern Community Cohort Study (SCCS). Methods The SCCS is a prospective cohort of primarily low-income adults aged 40–79, enrolled from the southeastern United States during 2002–2009. This analysis included self-reported Black/African American or non-Hispanic White participants and excluded those who died or were lost to follow-up ≤ 1 year. Untargeted metabolite profiling was performed using baseline plasma samples in a subset of SCCS participants. Results Among 79,631 participants, 23,356 deaths (7214 from CVD and 5394 from cancer) were documented over a median 15-year follow-up. Higher NDI, RSI, and SVI were associated with increased all-cause, CVD, and cancer mortality, independent of standard clinical and sociodemographic risk factors and consistent between racial groups (standardized HRs among all participants were 1.07 to 1.20 in age/sex/race-adjusted model and 1.04 to 1.08 after comprehensive adjustment; all P
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- 2024
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3. Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes
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Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Ran Tao, Christine Ambrosone, Dezheng Huo, Stefan Ambs, Mollie E. Barnard, Yu Chen, Montserrat Garcia-Closas, Jian Gu, Jennifer J. Hu, Esther M. John, Christopher I. Li, Katherine Nathanson, Barbara Nemesure, Olufunmilayo I. Olopade, Tuya Pal, Michael F. Press, Maureen Sanderson, Dale P. Sandler, Toshio Yoshimatsu, Prisca O. Adejumo, Thomas Ahearn, Abenaa M. Brewster, Anselm J. M. Hennis, Timothy Makumbi, Paul Ndom, Katie M. O’Brien, Andrew F. Olshan, Mojisola M. Oluwasanu, Sonya Reid, Song Yao, Ebonee N. Butler, Maosheng Huang, Atara Ntekim, Bingshan Li, Melissa A. Troester, Julie R. Palmer, Christopher A. Haiman, Jirong Long, and Wei Zheng
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Science - Abstract
Abstract African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3′ UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues from 150 AA participants and then used these models to perform association analyses using genomic data from 18,034 cases and 22,104 controls. At Bonferroni-corrected P
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- 2024
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4. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes
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Zhishan Chen, Xingyi Guo, Ran Tao, Jeroen R. Huyghe, Philip J. Law, Ceres Fernandez-Rozadilla, Jie Ping, Guochong Jia, Jirong Long, Chao Li, Quanhu Shen, Yuhan Xie, Maria N. Timofeeva, Minta Thomas, Stephanie L. Schmit, Virginia Díez-Obrero, Matthew Devall, Ferran Moratalla-Navarro, Juan Fernandez-Tajes, Claire Palles, Kitty Sherwood, Sarah E. W. Briggs, Victoria Svinti, Kevin Donnelly, Susan M. Farrington, James Blackmur, Peter G. Vaughan-Shaw, Xiao-Ou Shu, Yingchang Lu, Peter Broderick, James Studd, Tabitha A. Harrison, David V. Conti, Fredrick R. Schumacher, Marilena Melas, Gad Rennert, Mireia Obón-Santacana, Vicente Martín-Sánchez, Jae Hwan Oh, Jeongseon Kim, Sun Ha Jee, Keum Ji Jung, Sun-Seog Kweon, Min-Ho Shin, Aesun Shin, Yoon-Ok Ahn, Dong-Hyun Kim, Isao Oze, Wanqing Wen, Keitaro Matsuo, Koichi Matsuda, Chizu Tanikawa, Zefang Ren, Yu-Tang Gao, Wei-Hua Jia, John L. Hopper, Mark A. Jenkins, Aung Ko Win, Rish K. Pai, Jane C. Figueiredo, Robert W. Haile, Steven Gallinger, Michael O. Woods, Polly A. Newcomb, David Duggan, Jeremy P. Cheadle, Richard Kaplan, Rachel Kerr, David Kerr, Iva Kirac, Jan Böhm, Jukka-Pekka Mecklin, Pekka Jousilahti, Paul Knekt, Lauri A. Aaltonen, Harri Rissanen, Eero Pukkala, Johan G. Eriksson, Tatiana Cajuso, Ulrika Hänninen, Johanna Kondelin, Kimmo Palin, Tomas Tanskanen, Laura Renkonen-Sinisalo, Satu Männistö, Demetrius Albanes, Stephanie J. Weinstein, Edward Ruiz-Narvaez, Julie R. Palmer, Daniel D. Buchanan, Elizabeth A. Platz, Kala Visvanathan, Cornelia M. Ulrich, Erin Siegel, Stefanie Brezina, Andrea Gsur, Peter T. Campbell, Jenny Chang-Claude, Michael Hoffmeister, Hermann Brenner, Martha L. Slattery, John D. Potter, Kostas K. Tsilidis, Matthias B. Schulze, Marc J. Gunter, Neil Murphy, Antoni Castells, Sergi Castellví-Bel, Leticia Moreira, Volker Arndt, Anna Shcherbina, D. Timothy Bishop, Graham G. Giles, Melissa C. Southey, Gregory E. Idos, Kevin J. McDonnell, Zomoroda Abu-Ful, Joel K. Greenson, Katerina Shulman, Flavio Lejbkowicz, Kenneth Offit, Yu-Ru Su, Robert Steinfelder, Temitope O. Keku, Bethany van Guelpen, Thomas J. Hudson, Heather Hampel, Rachel Pearlman, Sonja I. Berndt, Richard B. Hayes, Marie Elena Martinez, Sushma S. Thomas, Paul D. P. Pharoah, Susanna C. Larsson, Yun Yen, Heinz-Josef Lenz, Emily White, Li Li, Kimberly F. Doheny, Elizabeth Pugh, Tameka Shelford, Andrew T. Chan, Marcia Cruz-Correa, Annika Lindblom, David J. Hunter, Amit D. Joshi, Clemens Schafmayer, Peter C. Scacheri, Anshul Kundaje, Robert E. Schoen, Jochen Hampe, Zsofia K. Stadler, Pavel Vodicka, Ludmila Vodickova, Veronika Vymetalkova, Christopher K. Edlund, W. James Gauderman, David Shibata, Amanda Toland, Sanford Markowitz, Andre Kim, Stephen J. Chanock, Franzel van Duijnhoven, Edith J. M. Feskens, Lori C. Sakoda, Manuela Gago-Dominguez, Alicja Wolk, Barbara Pardini, Liesel M. FitzGerald, Soo Chin Lee, Shuji Ogino, Stephanie A. Bien, Charles Kooperberg, Christopher I. Li, Yi Lin, Ross Prentice, Conghui Qu, Stéphane Bézieau, Taiki Yamaji, Norie Sawada, Motoki Iwasaki, Loic Le Marchand, Anna H. Wu, Chenxu Qu, Caroline E. McNeil, Gerhard Coetzee, Caroline Hayward, Ian J. Deary, Sarah E. Harris, Evropi Theodoratou, Stuart Reid, Marion Walker, Li Yin Ooi, Ken S. Lau, Hongyu Zhao, Li Hsu, Qiuyin Cai, Malcolm G. Dunlop, Stephen B. Gruber, Richard S. Houlston, Victor Moreno, Graham Casey, Ulrike Peters, Ian Tomlinson, and Wei Zheng
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Science - Abstract
Abstract Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.
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- 2024
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5. Feasibility of precision smoking treatment in a low-income community setting: results of a pilot randomized controlled trial in The Southern Community Cohort Study
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Scott S. Lee, Nicole Senft Everson, Maureen Sanderson, Rebecca Selove, William J. Blot, Stephen King, Karen Gilliam, Suman Kundu, Mark Steinwandel, Sarah J. Sternlieb, Qiuyin Cai, Shaneda Warren Andersen, Debra L. Friedman, Erin Connors Kelly, Mary Kay Fadden, Matthew S. Freiberg, Quinn S. Wells, Juan Canedo, Rachel F. Tyndale, Robert P. Young, Raewyn J. Hopkins, and Hilary A. Tindle
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Smoking cessation treatment ,Precision medicine ,Health disparities ,Medicine (General) ,R5-920 ,Social pathology. Social and public welfare. Criminology ,HV1-9960 - Abstract
Abstract Background The feasibility of precision smoking treatment in socioeconomically disadvantaged communities has not been studied. Methods Participants in the Southern Community Cohort Study who smoked daily were invited to join a pilot randomized controlled trial of three smoking cessation interventions: guideline-based care (GBC), GBC plus nicotine metabolism-informed care (MIC), and GBC plus counseling guided by a polygenic risk score (PRS) for lung cancer. Feasibility was assessed by rates of study enrollment, engagement, and retention, targeting > 70% for each. Using logistic regression, we also assessed whether feasibility varied by age, sex, race, income, education, and attitudes toward precision smoking treatment. Results Of 92 eligible individuals (79.3% Black; 68.2% with household income
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- 2024
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6. Blood Lipids, Lipoproteins, and Apolipoproteins With Risk of Coronary Heart Disease: A Prospective Study Among Racially Diverse Populations
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Kui Deng, Xiong‐Fei Pan, Markus W. Voehler, Qiuyin Cai, Hui Cai, Xiao‐Ou Shu, Deepak K. Gupta, Loren Lipworth, Wei Zheng, and Danxia Yu
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apolipoprotein ,coronary heart disease ,lipid ,lipoprotein ,nuclear magnetic resonance ,racially diverse populations ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background Comprehensive blood lipoprotein profiles and their association with incident coronary heart disease (CHD) among racially and geographically diverse populations remain understudied. Methods and Results We conducted nested case–control studies of CHD among 3438 individuals (1719 pairs), including 1084 White Americans (542 pairs), 1244 Black Americans (622 pairs), and 1110 Chinese adults (555 pairs). We examined 36 plasma lipids, lipoproteins, and apolipoproteins, measured by nuclear magnetic resonance spectroscopy, with incident CHD among all participants and subgroups by demographics, lifestyle, and metabolic health status using conditional or unconditional logistic regression adjusted for potential confounders. Conventionally measured blood lipids, that is, total cholesterol, triglycerides, low‐density lipoprotein‐cholesterol, and high‐density lipoprotein‐cholesterol, were each associated with incident CHD, with odds ratios (ORs) being 1.33, 1.32, 1.24, and 0.79 per 1‐SD increase among all participants. Seventeen lipoprotein biomarkers showed numerically stronger associations than conventional lipids, with ORs per 1‐SD among all participants ranging from 1.35 to 1.57 and a negative OR of 0.78 (all false discovery rate
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- 2024
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7. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations
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Minta Thomas, Yu-Ru Su, Elisabeth A. Rosenthal, Lori C. Sakoda, Stephanie L. Schmit, Maria N. Timofeeva, Zhishan Chen, Ceres Fernandez-Rozadilla, Philip J. Law, Neil Murphy, Robert Carreras-Torres, Virginia Diez-Obrero, Franzel J. B. van Duijnhoven, Shangqing Jiang, Aesun Shin, Alicja Wolk, Amanda I. Phipps, Andrea Burnett-Hartman, Andrea Gsur, Andrew T. Chan, Ann G. Zauber, Anna H. Wu, Annika Lindblom, Caroline Y. Um, Catherine M. Tangen, Chris Gignoux, Christina Newton, Christopher A. Haiman, Conghui Qu, D. Timothy Bishop, Daniel D. Buchanan, David R. Crosslin, David V. Conti, Dong-Hyun Kim, Elizabeth Hauser, Emily White, Erin Siegel, Fredrick R. Schumacher, Gad Rennert, Graham G. Giles, Heather Hampel, Hermann Brenner, Isao Oze, Jae Hwan Oh, Jeffrey K. Lee, Jennifer L. Schneider, Jenny Chang-Claude, Jeongseon Kim, Jeroen R. Huyghe, Jiayin Zheng, Jochen Hampe, Joel Greenson, John L. Hopper, Julie R. Palmer, Kala Visvanathan, Keitaro Matsuo, Koichi Matsuda, Keum Ji Jung, Li Li, Loic Le Marchand, Ludmila Vodickova, Luis Bujanda, Marc J. Gunter, Marco Matejcic, Mark A. Jenkins, Martha L. Slattery, Mauro D’Amato, Meilin Wang, Michael Hoffmeister, Michael O. Woods, Michelle Kim, Mingyang Song, Motoki Iwasaki, Mulong Du, Natalia Udaltsova, Norie Sawada, Pavel Vodicka, Peter T. Campbell, Polly A. Newcomb, Qiuyin Cai, Rachel Pearlman, Rish K. Pai, Robert E. Schoen, Robert S. Steinfelder, Robert W. Haile, Rosita Vandenputtelaar, Ross L. Prentice, Sébastien Küry, Sergi Castellví-Bel, Shoichiro Tsugane, Sonja I. Berndt, Soo Chin Lee, Stefanie Brezina, Stephanie J. Weinstein, Stephen J. Chanock, Sun Ha Jee, Sun-Seog Kweon, Susan Vadaparampil, Tabitha A. Harrison, Taiki Yamaji, Temitope O. Keku, Veronika Vymetalkova, Volker Arndt, Wei-Hua Jia, Xiao-Ou Shu, Yi Lin, Yoon-Ok Ahn, Zsofia K. Stadler, Bethany Van Guelpen, Cornelia M. Ulrich, Elizabeth A. Platz, John D. Potter, Christopher I. Li, Reinier Meester, Victor Moreno, Jane C. Figueiredo, Graham Casey, Iris Lansdorp Vogelaar, Malcolm G. Dunlop, Stephen B. Gruber, Richard B. Hayes, Paul D. P. Pharoah, Richard S. Houlston, Gail P. Jarvik, Ian P. Tomlinson, Wei Zheng, Douglas A. Corley, Ulrike Peters, and Li Hsu
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Science - Abstract
Abstract Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values
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- 2023
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8. Gut Microbiome of Patients With Breast Cancer in Vietnam
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Sang M. Nguyen, Huong T.T. Tran, Jirong Long, Martha J. Shrubsole, Hui Cai, Yaohua Yang, Lan M. Nguyen, Giang H. Nguyen, Chu V. Nguyen, To V. Ta, Jie Wu, Qiuyin Cai, Wei Zheng, Thuan V. Tran, and Xiao-Ou Shu
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
PURPOSEGut microbiota play an important role in human health, including cancer. Cancer and its treatment, in turn, may alter the gut microbiome. To understand this complex relationship, we profiled the gut microbiome of 356 Vietnamese patients with breast cancer.MATERIALS AND METHODSStool samples were collected before chemotherapy, with 162 pre- and 194 postsurgery. The gut microbiome was measured by shotgun metagenomic sequencing. Associations of gut microbial diversity, taxa abundance, and gut microbiome health index (GMHI) with sociodemographic, clinical factors, and tumor characteristics were evaluated.RESULTSPostsurgery samples were associated with significantly lower α- and β-diversities (P < .001) and showed significant differences in the abundance of 15% of 2,864 investigated taxa (false discovery rate [FDR]
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- 2024
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9. Oral microbiome and ischemic stroke risk among elderly Chinese women
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Cong Wang, Yaohua Yang, Qiuyin Cai, Yutang Gao, Hui Cai, Jie Wu, Wei Zheng, Jirong Long, and Xiao-Ou Shu
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Ischemic stroke ,oral microbiome ,nested case-control study ,microbial sub-community ,Latent Dirichlet Allocation ,Infectious and parasitic diseases ,RC109-216 ,Microbiology ,QR1-502 - Abstract
ABSTRACTBackground Stroke, a leading cause of disability worldwide, has been associated with periodontitis. However, whether stroke risk is related to oral microbiota remains unknown. This study aims to evaluate the associations between the oral microbiome and ischemic stroke risk.Methods In a case-control study of 134 case-control pairs nested within a prospective cohort study, we examined pre-diagnostic oral microbiome in association with stroke risk via shotgun metagenomic sequencing. The microbial sub-community and functional profiling were performed using Latent Dirichlet Allocation and HUMAnN2. Associations of microbial diversity, sub-community structure, and individual microbial features with ischemic stroke risk were evaluated via conditional logistic regression.Results Alpha and beta diversities differ significantly between cases and controls. One genus- and two species-level sub-communities were significantly associated with decreased ischemic stroke risk, with odds ratios (95% confidence intervals) of 0.52 (0.31–0.90), 0.51 (0.31–0.84), and 0.60 (0.36–0.99), respectively. These associations were potentially driven by the representative taxa in these sub-communities, i.e., genus Corynebacterium and Lautropia, and species Lautropia mirabilis and Neisseria elongate (p
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- 2023
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10. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population
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Jianxin Shi, Kouya Shiraishi, Jiyeon Choi, Keitaro Matsuo, Tzu-Yu Chen, Juncheng Dai, Rayjean J. Hung, Kexin Chen, Xiao-Ou Shu, Young Tae Kim, Maria Teresa Landi, Dongxin Lin, Wei Zheng, Zhihua Yin, Baosen Zhou, Bao Song, Jiucun Wang, Wei Jie Seow, Lei Song, I-Shou Chang, Wei Hu, Li-Hsin Chien, Qiuyin Cai, Yun-Chul Hong, Hee Nam Kim, Yi-Long Wu, Maria Pik Wong, Brian Douglas Richardson, Karen M. Funderburk, Shilan Li, Tongwu Zhang, Charles Breeze, Zhaoming Wang, Batel Blechter, Bryan A. Bassig, Jin Hee Kim, Demetrius Albanes, Jason Y. Y. Wong, Min-Ho Shin, Lap Ping Chung, Yang Yang, She-Juan An, Hong Zheng, Yasushi Yatabe, Xu-Chao Zhang, Young-Chul Kim, Neil E. Caporaso, Jiang Chang, James Chung Man Ho, Michiaki Kubo, Yataro Daigo, Minsun Song, Yukihide Momozawa, Yoichiro Kamatani, Masashi Kobayashi, Kenichi Okubo, Takayuki Honda, Dean H. Hosgood, Hideo Kunitoh, Harsh Patel, Shun-ichi Watanabe, Yohei Miyagi, Haruhiko Nakayama, Shingo Matsumoto, Hidehito Horinouchi, Masahiro Tsuboi, Ryuji Hamamoto, Koichi Goto, Yuichiro Ohe, Atsushi Takahashi, Akiteru Goto, Yoshihiro Minamiya, Megumi Hara, Yuichiro Nishida, Kenji Takeuchi, Kenji Wakai, Koichi Matsuda, Yoshinori Murakami, Kimihiro Shimizu, Hiroyuki Suzuki, Motonobu Saito, Yoichi Ohtaki, Kazumi Tanaka, Tangchun Wu, Fusheng Wei, Hongji Dai, Mitchell J. Machiela, Jian Su, Yeul Hong Kim, In-Jae Oh, Victor Ho Fun Lee, Gee-Chen Chang, Ying-Huang Tsai, Kuan-Yu Chen, Ming-Shyan Huang, Wu-Chou Su, Yuh-Min Chen, Adeline Seow, Jae Yong Park, Sun-Seog Kweon, Kun-Chieh Chen, Yu-Tang Gao, Biyun Qian, Chen Wu, Daru Lu, Jianjun Liu, Ann G. Schwartz, Richard Houlston, Margaret R. Spitz, Ivan P. Gorlov, Xifeng Wu, Ping Yang, Stephen Lam, Adonina Tardon, Chu Chen, Stig E. Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, Bu-Tian Ji, H-Erich Wichmann, David C. Christiani, Gadi Rennert, Susanne Arnold, Paul Brennan, James McKay, John K. Field, Sanjay S. Shete, Loic Le Marchand, Geoffrey Liu, Angeline Andrew, Lambertus A. Kiemeney, Shan Zienolddiny-Narui, Kjell Grankvist, Mikael Johansson, Angela Cox, Fiona Taylor, Jian-Min Yuan, Philip Lazarus, Matthew B. Schabath, Melinda C. Aldrich, Hyo-Sung Jeon, Shih Sheng Jiang, Jae Sook Sung, Chung-Hsing Chen, Chin-Fu Hsiao, Yoo Jin Jung, Huan Guo, Zhibin Hu, Laurie Burdett, Meredith Yeager, Amy Hutchinson, Belynda Hicks, Jia Liu, Bin Zhu, Sonja I. Berndt, Wei Wu, Junwen Wang, Yuqing Li, Jin Eun Choi, Kyong Hwa Park, Sook Whan Sung, Li Liu, Chang Hyun Kang, Wen-Chang Wang, Jun Xu, Peng Guan, Wen Tan, Chong-Jen Yu, Gong Yang, Alan Dart Loon Sihoe, Ying Chen, Yi Young Choi, Jun Suk Kim, Ho-Il Yoon, In Kyu Park, Ping Xu, Qincheng He, Chih-Liang Wang, Hsiao-Han Hung, Roel C. H. Vermeulen, Iona Cheng, Junjie Wu, Wei-Yen Lim, Fang-Yu Tsai, John K. C. Chan, Jihua Li, Hongyan Chen, Hsien-Chih Lin, Li Jin, Jie Liu, Norie Sawada, Taiki Yamaji, Kathleen Wyatt, Shengchao A. Li, Hongxia Ma, Meng Zhu, Zhehai Wang, Sensen Cheng, Xuelian Li, Yangwu Ren, Ann Chao, Motoki Iwasaki, Junjie Zhu, Gening Jiang, Ke Fei, Guoping Wu, Chih-Yi Chen, Chien-Jen Chen, Pan-Chyr Yang, Jinming Yu, Victoria L. Stevens, Joseph F. Fraumeni, Nilanjan Chatterjee, Olga Y. Gorlova, Chao Agnes Hsiung, Christopher I. Amos, Hongbing Shen, Stephen J. Chanock, Nathaniel Rothman, Takashi Kohno, and Qing Lan
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Science - Abstract
Abstract Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications.
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- 2023
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11. A cross-sectional study of inflammatory markers as determinants of circulating kynurenines in the Lung Cancer Cohort Consortium
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Øivind Midttun, Arve Ulvik, Klaus Meyer, Hana Zahed, Graham G. Giles, Jonas Manjer, Malte Sandsveden, Arnulf Langhammer, Elin Pettersen Sørgjerd, Annelie F. Behndig, Mikael Johansson, Neal D. Freedman, Wen-Yi Huang, Chu Chen, Ross Prentice, Victoria L. Stevens, Ying Wang, Loïc Le Marchand, Stephanie J. Weinstein, Qiuyin Cai, Alan A. Arslan, Yu Chen, Xiao-Ou Shu, Wei Zheng, Jian-Min Yuan, Woon-Puay Koh, Kala Visvanathan, Howard D. Sesso, Xuehong Zhang, J. Michael Gaziano, Anouar Fanidi, Hilary A. Robbins, Paul Brennan, Mattias Johansson, and Per M. Ueland
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Medicine ,Science - Abstract
Abstract Circulating concentrations of metabolites (collectively called kynurenines) in the kynurenine pathway of tryptophan metabolism increase during inflammation, particularly in response to interferon-gamma (IFN-γ). Neopterin and the kynurenine/tryptophan ratio (KTR) are IFN-γ induced inflammatory markers, and together with C-reactive protein (CRP) and kynurenines they are associated with various diseases, but comprehensive data on the strength of associations of inflammatory markers with circulating concentrations of kynurenines are lacking. We measured circulating concentrations of neopterin, CRP, tryptophan and seven kynurenines in 5314 controls from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). The associations of neopterin, KTR and CRP with kynurenines were investigated using regression models. In mixed models, one standard deviation (SD) higher KTR was associated with a 0.46 SD higher quinolinic acid (QA), and 0.31 SD higher 3-hydroxykynurenine (HK). One SD higher neopterin was associated with 0.48, 0.44, 0.36 and 0.28 SD higher KTR, QA, kynurenine and HK, respectively. KTR and neopterin respectively explained 24.1% and 16.7% of the variation in QA, and 11.4% and 7.5% of HK. CRP was only weakly associated with kynurenines in regression models. In summary, QA was the metabolite that was most strongly associated with the inflammatory markers. In general, the inflammatory markers were most strongly related to metabolites located along the tryptophan–NAD axis, which may support suggestions of increased production of NAD from tryptophan during inflammation.
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- 2023
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12. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
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Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida Surakka, Shweta Ramdas, Xiang Zhu, Shoa L. Clarke, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W. Winkler, Adam E. Locke, Eirini Marouli, Greg J. M. Zajac, Kuan-Han H. Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T. Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F. Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M. Brumpton, Humaira Rasheed, Aki S. Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A. Rosenthal, Todd Lingren, QiPing Feng, Iftikhar J. Kullo, Akira Narita, Jun Takayama, Hilary C. Martin, Karen A. Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E. Miller, Archie Campbell, Kuang Lin, Iona Y. Millwood, Asif Rasheed, George Hindy, Jessica D. Faul, Wei Zhao, David R. Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R. Brown, Weihua Zhang, Ketian Yu, Ellen M. Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian’an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R. Wood, Yingji Ji, Zishan Gao, Simon Haworth, Noha A. Yousri, Ruth E. Mitchell, Jin Fang Chai, Mette Aadahl, Anne A. Bjerregaard, Jie Yao, Ani Manichaikul, Chii-Min Hwu, Yi-Jen Hung, Helen R. Warren, Julia Ramirez, Jette Bork-Jensen, Line L. Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F. McDaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T. Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Claudia Lamina, Lukas Forer, Markus Scholz, Tessel E. Galesloot, Jonathan P. Bradfield, Sanni E. Ruotsalainen, EWarwick Daw, Joseph M. Zmuda, Jonathan S. Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A. Brody, Miguel Vazquez-Moreno, Mary F. Feitosa, Mary K. Wojczynski, Zhe Wang, Michael H. Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W. Benjamins, Jorgen Engmann, Noah L. Tsao, Anurag Verma, Roderick C. Slieker, Ken Sin Lo, Nuno R. Zilhao, Phuong Le, Marcus E. Kleber, Graciela E. Delgado, Shaofeng Huo, Daisuke D. Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L. Leonard, Jonathan Marten, Mirjam Frank, Börge Schmidt, Laura J. Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S. Nongmaithem, Swati Bayyana, Heather M. Stringham, Marguerite R. Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R. H. J. Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A. Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N. Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C. Warner, Ya Xing Wang, Wen B. Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A. Kentistou, Bernhard Banas, Giuseppe Giovanni Nardone, Karina Meidtner, Lawrence F. Bielak, Jennifer A. Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J. van der Most, Niina Pitkänen, Brian E. Cade, Sander W. van der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R. Bentley, Ayo P. Doumatey, Adebowale A. Adeyemo, Jong Young Lee, Eva R. B. Petersen, Aneta A. Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W. Rayner, Carol A. Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O. Obura, Jessica van Setten, Xiaoyin Li, Jingjing Liang, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D. Jackson, Alexander P. Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C. Bis, Lenore J. Launer, Huaixing Li, Mike A. Nalls, Olli T. Raitakari, Sahoko Ichihara, Sarah H. Wild, Christopher P. Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S. Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique de Kleijn, Gert J. de Borst, Eung Kweon Kim, Hieab H. H. Adams, M. Arfan Ikram, Xiaofeng Zhu, Folkert W. Asselbergs, Adriaan O. Kraaijeveld, Joline W. J. Beulens, Xiao-Ou Shu, Loukianos S. Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W. Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E. Pennell, Trevor A. Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M. Heid, Klaus J. Stark, Martina E. Zimmermann, Henry Völzke, Georg Homuth, Michele K. Evans, Alan B. Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E. Hoefer, Susan Redline, Katja Pahkala, Albertine J. Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Sharon L. R. Kardia, Patricia A. Peyser, Norihiro Kato, Matthias B. Schulze, Giorgia Girotto, Carsten A. Böger, Bettina Jung, Peter K. Joshi, David A. Bennett, Philip L. De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J. Caulfield, Patricia B. Munroe, Xiuqing Guo, Marina Ciullo, Jost B. Jonas, Nilesh J. Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A. Aguilar-Salinas, Linda S. Adair, Sonny Augustin Bechayda, H. Janaka de Silva, Ananda R. Wickremasinghe, Ronald M. Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke Iden Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G. Wilson, Lars Lind, Chew-Kiat Heng, Amanda E. Nelson, Yvonne M. Golightly, James F. Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J. Scott, D. C. Rao, Donna K. Arnett, Steven C. Hunt, Mark Walker, Heikki A. Koistinen, Giriraj R. Chandak, Josep M. Mercader, Maria C. Costanzo, Dongkeun Jang, Noël P. Burtt, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, EShyong Tai, Rob M. van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F. Reilly, Amy Jayne McKnight, Frank Kee, Karl-Heinz Jöckel, Mark I. McCarthy, Colin N. A. Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M. van Duijn, Zi-Bing Jin, Jia Qu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M.‘t Hart, Petra J. M. Elders, Scott M. Damrauer, Meena Kumari, Mika Kivimaki, Pim van der Harst, Tim D. Spector, Ruth J. F. Loos, Michael A. Province, Esteban J. Parra, Miguel Cruz, Bruce M. Psaty, Ivan Brandslund, Peter P. Pramstaller, Charles N. Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F. A. Grant, Lambertus A. L. M. Kiemeney, Jacqueline de Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W. Franks, Allan Linneberg, J. Wouter Jukema, Amit V. Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O. Mook-Kanamori, Ko Willems van Dijk, Hugh Watkins, David P. Strachan, Niels Grarup, Peter Sever, Neil Poulter, Lee-Ming Chuang, Jerome I. Rotter, Thomas M. Dantoft, Fredrik Karpe, Matt J. Neville, Nicholas J. Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T. Hattersley, Nancy L. Pedersen, Patrik K. E. Magnusson, Dorret I. Boomsma, Allegonda H. M. Willemsen, LAdrienne Cupples, Joyce B. J. van Meurs, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J. Wareham, Claudia Langenberg, Eleftheria Zeggini, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C. Chambers, Jaspal S. Kooner, Paul S. de Vries, Alanna C. Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E. North, Martha Daviglus, Peter Kraft, Nicholas G. Martin, John B. Whitfield, Shahid Abbas, Danish Saleheen, Robin G. Walters, Michael V. Holmes, Corri Black, Blair H. Smith, Aris Baras, Anne E. Justice, Julie E. Buring, Paul M. Ridker, Daniel I. Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A. van Heel, Richard C. Trembath, Wei-Qi Wei, Gail P. Jarvik, Bahram Namjou, M. Geoffrey Hayes, Marylyn D. Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, YEugene Chen, Yuk-Lam Ho, Julie A. Lynch, Daniel J. Rader, Philip S. Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J. O’Donnell, John M. Gaziano, Peter W. F. Wilson, Timothy M. Frayling, Joel N. Hirschhorn, Sekar Kathiresan, Karen L. Mohlke, Yan V. Sun, Andrew P. Morris, Michael Boehnke, Christopher D. Brown, Pradeep Natarajan, Panos Deloukas, Cristen J. Willer, Themistocles L. Assimes, and Gina M. Peloso
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Cholesterol ,Lipids ,Genetics ,Genome-wide association study ,GWAS ,Biology (General) ,QH301-705.5 ,QH426-470 - Abstract
Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
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- 2022
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13. Association of urinary prostaglandin E2 metabolite and mortality among adults
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Wanqing Wen, Gong Yang, Qiuyin Cai, Xiao-Ou Shu, and Wei Zheng
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Medicine ,Science - Abstract
Abstract Prostaglandins play a critical role in inflammatory response. To investigate the association of urinary PGE-M, a stable end-product of prostaglandin E2 (PGE2) with overall and cause-specific mortality and examine potential effect modifiers, we obtained urinary PGE-M levels of 2927 non-cancerous adults from our previous case-control studies nested in the Shanghai Women’s Health Study and Shanghai Men’s Health Study, two cohort studies conducted in Shanghai, China. Mortality data and modifiable factors associated with urinary PGE-M were obtained from the parent cohort studies. Using linear regression models, we found that high urinary PGE-M levels were significantly associated with low education, heaving smoking, old age at urine collection, and abdominal obesity. Using Cox proportional hazards models, we found that increase (per standard deviation) of urinary PGE-M levels were significantly associated with overall mortality (adjusted hazard ratio = 1.19, 95% confidence interval: 1.07, 1.33) and particularly deaths from cardiometabolic diseases (adjusted hazard ratio = 1.27, 95% confidence interval: 1.11, 1.44). The increased death risks persisted across different time intervals during the follow-up and were stronger among participants who were younger than 60 (P = 0.0014 for all- cause mortality and P = 0.007 for deaths from cardiometabolic diseases) at urine collection or perhaps among those who had higher education.
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- 2022
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14. Association between lipid peroxidation biomarkers and microRNA expression profiles
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Yingya Zhao, Marina S. Nogueira, Ginger L. Milne, Xingyi Guo, Hui Cai, Qing Lan, Nathaniel Rothman, Qiuyin Cai, Yu-Tang Gao, Qingxia Chen, Xiao-Ou Shu, and Gong Yang
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Biomarker ,Oxidative stress ,Lipid peroxidation ,Isoprostanes ,microRNA ,β-oxidation ,Medicine (General) ,R5-920 ,Biology (General) ,QH301-705.5 - Abstract
Background: In-vitro and animal studies demonstrate that epigenetic regulation may play an important role in lipid peroxidation. No human study to date has directly evaluated microRNAs (miRNAs), as epigenetic modulators, in relation to systemic levels of lipid peroxidation. Objectives: To evaluate associations between systemic levels of lipid peroxidation and miRNA expression profiles in women. Methods: Included in the analysis were 92 women aged 40–70 years, a subset of the Shanghai Women’s Health Study (SWHS). Lipid peroxidation was assessed by urinary markers F2-isoprostanes (F2-IsoPs), the products of free radical-catalyzed peroxidation of arachidonic acid, and its major metabolite after β-oxidation, 2,3-dinor-5,6-dihydro-15-F2t-IsoP (F2-IsoP-M), with GC/NICI-MS assays. Expression levels of 798 miRNAs were quantified in peripheral plasma with NanoString nCounter assays. A multivariable linear regression model was used to examine the association between lipid peroxidation and miRNA expression. Results: After adjusting for potential confounders, 29 miRNAs and 213 miRNAs were associated with F2-IsoPs and F2-IsoP-M, respectively. When further controlling for multiple comparisons, none of these nominally significant associations with F2-IsoPs was retained, whereas 71 of 213 miRNAs associated with F2-IsoP-M remained. The predicted targets of the F2-IsoP-M associated miRNAs were enriched for several lipid peroxidation-related processes such as PI3K/AKT, MAPK, FOXO and HIF-1 signaling pathways. Moreover, 10 miRNAs (miR-93-5p, miR-761, miR-301b-3p, miR-497-5p, miR-141-3p, miR-186-5p, miR-126-3p, miR-200b-3p, miR-520d-3p, and miR-363-3p) exhibited functional interactions with 50 unique mRNAs targets involved in the regulation of β-oxidation. Conclusions: To our knowledge, this study, for the first time, provides human data suggesting that miRNA expression may be linked to lipid peroxidation products and their metabolism.
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- 2022
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15. Menstrual and Reproductive Factors in Association With Breast Cancer Risk in Vietnamese Women: A Case-Control Study
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Oanh Thi Bui, Huong Thanh Tran, Sang Minh Nguyen, Tu Van Dao, Quang Vinh Bui, Anh Tuan Pham, Martha J. Shrubsole, Qiuyin Cai, Fei Ye, Wei Zheng, Hung Nguyen Luu, Thuan Van Tran, and Xiao-Ou Shu
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objectives Though menstrual and reproductive factors have been associated with the risk of breast cancer in many populations, very few studies have been conducted among Vietnamese women. This study aimed to assess the association between menstrual and reproductive factors and the risk of breast cancer in Vietnamese women. Methods A retrospective case-control study of 490 breast cancer cases and 468 controls was conducted in Northern Vietnam. Unconditional logistic regression models adjusting for confounders were used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) for the associations of menstrual and reproductive factors with the risk of breast cancer; overall and by cancer subtype. Results Among breast cancer patients, the luminal B subtype was the most frequent (48.6%), followed by HER2-overexpressing (24.5%), luminal A (16.7%), and triple-negative breast cancer (TNBC; 10.2%). Among menopausal women, menopausal age at 50 years or older (OR = 1.71, 95% CI: 1.15-2.57 vs.
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- 2022
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16. The Role of Thoracic Radiation Therapy Dosing in the Treatment of Limited-Stage Small Cell Lung Cancer: A Study Based on the National Cancer Database
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Chris Shidal, PhD, Evan C. Osmundson, MD, Yong Cui, PhD, Hyung-Suk Yoon, PhD, Christina E. Bailey, MD, Qiuyin Cai, MD, PhD, and Xiao-Ou Shu, MD, PhD
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Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Purpose: Small cell lung cancer (SCLC) is a highly fatal disease, but its treatment has remained relatively unchanged for decades. Randomized clinical trials evaluating radiation therapy (RT) dosing and fractionation have yielded mixed results on overall survival (OS). Methods and Materials: We identified 2261 patients with limited-stage (LS) SCLC undergoing definitive RT at 1.5, 1.8, and 2.0 Gy dose per fraction, concurrently with chemotherapy, between 2004 and 2015 within the National Cancer Database. Overall survival (OS) was evaluated using the Kaplan-Meier method, and Cox proportional hazards regression was used to investigate whether there was any survival difference among patients who received hyperfractionated, twice-daily RT at 1.5 Gy per fraction (HF1.5) and once-daily, standard fractionation RT at 1.8 Gy (SF1.8) or 2.0 Gy (SF2.0) per fraction. Subgroup analyses by age, sex, race, time to RT, facility type, and Charlson comorbidity index were also performed. Results: All stage median OS rates for HF1.5, SF1.8, and SF2.0 Gy groups were 21.6, 18.9, and 19.4 months, respectively (log-rank P = .0079). Multivariate analyses adjusting for demographic factors, socioeconomic status, tumor characteristics, and year of diagnosis showed SF1.8 (hazard ratio [HR] = 1.30, 1.03-1.63) and SF2.0 (HR = 1.20, 1.00-1.45) was associated with worse 1-year survival compared with HF1.5. This association was more evident in stage IIb-stage III than stage I to stage IIa patients. Propensity score–weighted analysis showed similar results. Stratified analyses showed the significant associations were confined to male or black patients, those aged >65 years, with 1 comorbidity, who had waited >60 days to start RT or were treated at an academic medical center. Conclusions: Analyses of real-world treatment outcome data showed that receiving hyperfractionated, twice-daily RT was associated with improved survival among patients with LS-SCLC compared with standard, once-daily fractionation regimens at 1 year after diagnosis, particularly for subsets of patients. Some associations retained statistical significance 3 years postdiagnosis.
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- 2022
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17. Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults
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Hana Zahed, Mattias Johansson, Per M. Ueland, Øivind Midttun, Roger L. Milne, Graham G. Giles, Jonas Manjer, Malte Sandsveden, Arnulf Langhammer, Elin Pettersen Sørgjerd, Kjell Grankvist, Mikael Johansson, Neal D. Freedman, Wen-Yi Huang, Chu Chen, Ross Prentice, Victoria L. Stevens, Ying Wang, Loic Le Marchand, Lynne R. Wilkens, Stephanie J. Weinstein, Demetrius Albanes, Qiuyin Cai, William J. Blot, Alan A. Arslan, Anne Zeleniuch-Jacquotte, Xiao-Ou Shu, Wei Zheng, Jian-Min Yuan, Woon-Puay Koh, Kala Visvanathan, Howard D. Sesso, Xuehong Zhang, J. Michael Gaziano, Anouar Fanidi, David Muller, Paul Brennan, Florence Guida, and Hilary A. Robbins
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Medicine ,Science - Abstract
Abstract Imbalances of blood biomarkers are associated with disease, and biomarkers may also vary non-pathologically across population groups. We described variation in concentrations of biomarkers of one-carbon metabolism, vitamin status, inflammation including tryptophan metabolism, and endothelial and renal function among cancer-free older adults. We analyzed 5167 cancer-free controls aged 40–80 years from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). Centralized biochemical analyses of 40 biomarkers in plasma or serum were performed. We fit multivariable linear mixed effects models to quantify variation in standardized biomarker log-concentrations across four factors: age, sex, smoking status, and body mass index (BMI). Differences in most biomarkers across most factors were small, with 93% (186/200) of analyses showing an estimated difference lower than 0.25 standard-deviations, although most were statistically significant due to large sample size. The largest difference was for creatinine by sex, which was − 0.91 standard-deviations lower in women than men (95%CI − 0.98; − 0.84). The largest difference by age was for total cysteine (0.40 standard-deviation increase per 10-year increase, 95%CI 0.36; 0.43), and by BMI was for C-reactive protein (0.38 standard-deviation increase per 5-kg/m2 increase, 95%CI 0.34; 0.41). For 31 of 40 markers, the mean difference between current and never smokers was larger than between former and never smokers. A statistically significant (p
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- 2021
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18. Associations of Pre-Diagnostic Serum Levels of Total Bilirubin and Albumin With Lung Cancer Risk: Results From the Southern Community Cohort Study
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Hyung-Suk Yoon, Xiao-Ou Shu, Chris Shidal, Jie Wu, William J. Blot, Wei Zheng, and Qiuyin Cai
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lung cancer ,total bilirubin (TB) ,albumin (ALB) ,smoking ,Southern Community Cohort Study ,low-income populations ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
BackgroundPrevious studies conducted among European and Asian decedents reported inverse associations of serum total bilirubin and albumin with lung cancer risk. Yet, no study has been conducted among African Americans or low-income European Americans.MethodsThis study included 522 incident lung cancer cases and 979 matched controls nested in the Southern Community Cohort Study, a cohort of predominantly low-income African and European Americans. Serum levels of total bilirubin and albumin, collected up to 11 years prior to case diagnoses, were measured by a clinical chemistry analyzer. Conditional logistic regression models were applied to evaluate the associations of total bilirubin and albumin with lung cancer risk.ResultsOverall, serum levels of total bilirubin (ORT3 vs. T1 = 0.96, 95% CI: 0.66-1.39) were not significantly associated with lung cancer risk. However, higher levels of serum total bilirubin were significantly associated with decreased risk of lung cancer among participants who were diagnosed within two years following sample collection (ORT3 vs. T1 = 0.36, 95% CI: 0.15-0.87) and among former/never smokers (ORT3 vs. T1 = 0.54, 95% CI: 0.32-0.93). Serum levels of albumin were significantly associated with decreased risk of lung cancer overall (ORT3 vs. T1 = 0.70, 95% CI: 0.50-0.98) and among African Americans (ORT3 vs. T1 = 0.62, 95% CI: 0.41-0.96), but not among European Americans.ConclusionOur results indicate that in a low-income African American and European American population, serum levels of total bilirubin may be related to lung cancer progression and differ by smoking status. Meanwhile, the association of serum albumin levels with lung cancer risk may differ by race. Further studies are warranted to confirm these results.
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- 2022
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19. Prospective study of plasma levels of coenzyme Q10 and lung cancer risk in a low‐income population in the Southeastern United States
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Chris Shidal, Hyung‐Suk Yoon, Wei Zheng, Jie Wu, Adrian A. Franke, William J. Blot, Xiao‐Ou Shu, and Qiuyin Cai
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biomarkers ,coenzyme Q10 ,epidemiology ,lung cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Coenzyme Q10 (CoQ10) is a ubiquitous molecule in living organisms serving as a cofactor in energy production. Epidemiological studies have reported low CoQ10 levels being associated with an increased risk of various cancers. We conducted the first study to evaluate the association of CoQ10 concentrations with lung cancer risk. Methods A nested case‐control study including 201 lung cancer cases and 395 matched controls from the Southern Community Cohort Study was conducted. Plasma CoQ10 levels were measured using high‐performance liquid chromatography with photo‐diode array detection. Conditional logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between plasma CoQ10 levels and lung cancer risk. Results Plasma CoQ10 concentration was inversely associated with the risk of lung cancer. After adjusting for age, sex, race, and socioeconomic status, the OR (95% CI) comparing the third to first tertile was 0.57 (0.36–0.91, P for trend = 0.02). Further adjustments for smoking, alcohol, chronic obstructive pulmonary disease, and body mass index attenuated the point estimate slightly (OR = 0.60, 95% CI = 0.34–1.08, P for trend = 0.11), comparing third to first tertiles. Stratified analyses identified a significant inverse association between plasma CoQ10 levels and lung cancer risk in current smokers, but not in former/never smokers. The association was more evident in cases who were diagnosed within 1 year of blood draw than in cases diagnosed after 1 year. Conclusions Low plasma CoQ10 was significantly associated with increased lung cancer risk, particularly among current smokers. The stronger association seen shortly following the blood draw suggests that CoQ10 may be related to disease progression.
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- 2021
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20. From tobacco smoking to cancer mutational signature: a mediation analysis strategy to explore the role of epigenetic changes
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Zhishan Chen, Wanqing Wen, Qiuyin Cai, Jirong Long, Ying Wang, Weiqiang Lin, Xiao-ou Shu, Wei Zheng, and Xingyi Guo
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Gene expression ,Methylation ,Tobacco smoking ,Mutational signature ,Mediation analysis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Tobacco smoking is associated with a unique mutational signature in the human cancer genome. It is unclear whether tobacco smoking-altered DNA methylations and gene expressions affect smoking-related mutational signature. Methods We systematically analyzed the smoking-related DNA methylation sites reported from five previous casecontrol studies in peripheral blood cells to identify possible target genes. Using the mediation analysis approach, we evaluated whether the association of tobacco smoking with mutational signature is mediated through altered DNA methylation and expression of these target genes in lung adenocarcinoma tumor tissues. Results Based on data obtained from 21,108 blood samples, we identified 374 smoking-related DNA methylation sites, annotated to 248 target genes. Using data from DNA methylations, gene expressions and smoking-related mutational signature generated from ~ 7700 tumor tissue samples across 26 cancer types from The Cancer Genome Atlas (TCGA), we found 11 of the 248 target genes whose expressions were associated with smoking-related mutational signature at a Bonferroni-correction P
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- 2020
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21. An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
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Lang Wu, Yaohua Yang, Xingyi Guo, Xiao-Ou Shu, Qiuyin Cai, Xiang Shu, Bingshan Li, Ran Tao, Chong Wu, Jason B. Nikas, Yanfa Sun, Jingjing Zhu, Monique J. Roobol, Graham G. Giles, Hermann Brenner, Esther M. John, Judith Clements, Eli Marie Grindedal, Jong Y. Park, Janet L. Stanford, Zsofia Kote-Jarai, Christopher A. Haiman, Rosalind A. Eeles, Wei Zheng, Jirong Long, The PRACTICAL consortium, CRUK Consortium, BPC3 Consortium, CAPS Consortium, and PEGASUS Consortium
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Science - Abstract
Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.
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- 2020
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22. Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants
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Xiang Shu, Jirong Long, Qiuyin Cai, Sun-Seog Kweon, Ji-Yeob Choi, Michiaki Kubo, Sue K. Park, Manjeet K. Bolla, Joe Dennis, Qin Wang, Yaohua Yang, Jiajun Shi, Xingyi Guo, Bingshan Li, Ran Tao, Kristan J. Aronson, Kelvin Y. K. Chan, Tsun L. Chan, Yu-Tang Gao, Mikael Hartman, Weang Kee Ho, Hidemi Ito, Motoki Iwasaki, Hiroji Iwata, Esther M. John, Yoshio Kasuga, Ui Soon Khoo, Mi-Kyung Kim, Sun-Young Kong, Allison W. Kurian, Ava Kwong, Eun-Sook Lee, Jingmei Li, Artitaya Lophatananon, Siew-Kee Low, Shivaani Mariapun, Koichi Matsuda, Keitaro Matsuo, Kenneth Muir, Dong-Young Noh, Boyoung Park, Min-Ho Park, Chen-Yang Shen, Min-Ho Shin, John J. Spinelli, Atsushi Takahashi, Chiuchen Tseng, Shoichiro Tsugane, Anna H. Wu, Yong-Bing Xiang, Taiki Yamaji, Ying Zheng, Roger L. Milne, Alison M. Dunning, Paul D. P. Pharoah, Montserrat García-Closas, Soo-Hwang Teo, Xiao-ou Shu, Daehee Kang, Douglas F. Easton, Jacques Simard, and Wei Zheng
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Science - Abstract
In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated in an independent disease cohort.
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- 2020
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23. Re-evaluating genetic variants identified in candidate gene studies of breast cancer risk using data from nearly 280,000 women of Asian and European ancestryResearch in context
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Yaohua Yang, Xiang Shu, Xiao-ou Shu, Manjeet K. Bolla, Sun-Seog Kweon, Qiuyin Cai, Kyriaki Michailidou, Qin Wang, Joe Dennis, Boyoung Park, Keitaro Matsuo, Ava Kwong, Sue Kyung Park, Anna H. Wu, Soo Hwang Teo, Motoki Iwasaki, Ji-Yeob Choi, Jingmei Li, Mikael Hartman, Chen-Yang Shen, Kenneth Muir, Artitaya Lophatananon, Bingshan Li, Wanqing Wen, Yu-Tang Gao, Yong-Bing Xiang, Kristan J. Aronson, John J. Spinell, Manuela Gago-Dominguez, Esther M. John, Allison W. Kurian, Jenny Chang-Claude, Shou-Tung Chen, Thilo Dörk, D. Gareth R. Evans, Marjanka K. Schmidt, Min-Ho Shin, Graham G. Giles, Roger L. Milne, Jacques Simard, Michiaki Kubo, Peter Kraft, Daehee Kang, Douglas F. Easton, Wei Zheng, and Jirong Long
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Medicine ,Medicine (General) ,R5-920 - Abstract
Background: We previously conducted a systematic field synopsis of 1059 breast cancer candidate gene studies and investigated 279 genetic variants, 51 of which showed associations. The major limitation of this work was the small sample size, even pooling data from all 1059 studies. Thereafter, genome-wide association studies (GWAS) have accumulated data for hundreds of thousands of subjects. It's necessary to re-evaluate these variants in large GWAS datasets. Methods: Of these 279 variants, data were obtained for 228 from GWAS conducted within the Asian Breast Cancer Consortium (24,206 cases and 24,775 controls) and the Breast Cancer Association Consortium (122,977 cases and 105,974 controls of European ancestry). Meta-analyses were conducted to combine the results from these two datasets. Findings: Of those 228 variants, an association was observed for 12 variants in 10 genes at a Bonferroni-corrected threshold of P
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- 2019
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24. Integrative genomic analyses of APOBEC-mutational signature, expression and germline deletion of APOBEC3 genes, and immunogenicity in multiple cancer types
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Zhishan Chen, Wanqing Wen, Jiandong Bao, Krystle L. Kuhs, Qiuyin Cai, Jirong Long, Xiao-ou Shu, Wei Zheng, and Xingyi Guo
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Pan-cancer ,APOBEC ,Gene expression ,Isoforms ,APOBEC-signature mutations ,Germline APOBEC3A/B deletion ,Internal medicine ,RC31-1245 ,Genetics ,QH426-470 - Abstract
Abstract Background Although APOBEC-mutational signature is found in tumor tissues of multiple cancers, how a common germline APOBEC3A/B deletion affects the mutational signature remains unclear. Methods Using data from 10 cancer types generated as part of TCGA, we performed integrative genomic and association analyses to assess inter-relationship of expressions for isoforms APOBEC3A and APOBEC3B, APOBEC-mutational signature, germline APOBEC3A/B deletions, neoantigen loads, and tumor infiltration lymphocytes (TILs). Results We found that expression level of the isoform uc011aoc transcribed from the APOBEC3A/B chimera was associated with a greater burden of APOBEC-mutational signature only in breast cancer, while germline APOBEC3A/B deletion led to an increased expression level of uc011aoc in multiple cancer types. Furthermore, we found that the deletion was associated with elevated APOBEC-mutational signature, neoantigen loads and relative composition of T cells (CD8+) in TILs only in breast cancer. Additionally, we also found that APOBEC-mutational signature significantly contributed to neoantigen loads and certain immune cell abundances in TILs across cancer types. Conclusions These findings reveal new insights into understanding the genetic, biological and immunological mechanisms through which APOBEC genes may be involved in carcinogenesis, and provide potential genetic biomarker for the development of disease prevention and cancer immunotherapy.
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- 2019
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25. Potential Microbiological Risk Factors Associated With Periodontitis and Periodontal Health Disparities
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Bing-Yan Wang, Tom Lu, Qiuyin Cai, Meng-Hsuan Ho, Sally Sheng, Hsiu-Wan Meng, Laura Arsto, Jianming Hong, and Hua Xie
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Porphyromonas gingivalis ,periodontitis ,racial and ethnic groups ,Streptococcus cristatus ,microbial profiles ,Microbiology ,QR1-502 - Abstract
Periodontitis disproportionately affects different racial and ethnic populations. In this study, we used qPCR to determine and compare oral microbial profiles in dental plaque samples from 191 periodontitis patients of different ethnic/racial backgrounds. We also obtained the periodontal parameters of these patients retrospectively using axiUm and performed statistical analysis using SAS 9.4. We found that in this patient cohort, neighborhood median incomes were significantly higher among Caucasians Americans (CAs) than among African Americans (AAs) and Hispanic Americans (HAs). Levels of total bacteria and Porphyromonas gingivalis, a keystone periodontal pathogen, were not evenly distributed among the three groups. We confirmed our previous findings that Streptococcus cristatus reduces P. gingivalis virulence potential and likely serves as a beneficial bacterium. We also showed the ratio of S. cristatus to P. gingivalis to be significantly higher in CAs than in HAs and AAs. Our results suggest that higher levels of P. gingivalis and lower ratios of S. cristatus to P. gingivalis may contribute to periodontal health disparities.
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- 2021
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26. Associations of Dietary Intakes of Carotenoids and Vitamin A with Lung Cancer Risk in a Low-Income Population in the Southeastern United States
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Yan Sun, Jie Wu, Hyung-Suk Yoon, Maciej S. Buchowski, Hui Cai, Stephen A. Deppen, Mark D. Steinwandel, Wei Zheng, Xiao-Ou Shu, William J. Blot, and Qiuyin Cai
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lung cancer ,African American ,carotenoids ,vitamin A ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Observational studies found inverse associations of dietary carotenoids and vitamin A intakes with lung cancer risk. However, interventional trials among high-risk individuals showed that β-carotene supplements increased lung cancer risk. Most of the previous studies were conducted among European descendants or Asians. We prospectively examined the associations of lung cancer risk with dietary intakes of carotenoids and vitamin A in the Southern Community Cohort Study, including 65,550 participants with 1204 incident lung cancer cases. Multivariate Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Lung cancer cases had lower energy-adjusted dietary intakes of all carotenoids and vitamin A than non-cases. However, dietary intakes of carotenoids and vitamin A were not associated with overall lung cancer risk. A significant positive association of dietary vitamin A intake with lung cancer risk was observed among current smokers (HRQ4 vs. Q1 = 1.23; 95% CI: 1.02–1.49; Ptrend = 0.01). In addition, vitamin A intake was associated with an increased risk of adenocarcinoma among African Americans (HRQ4 vs. Q1 = 1.55; 95%CI: 1.08–2.21; Ptrend = 0.03). Dietary lycopene intake was associated with an increased risk of lung cancer among former smokers (HRQ4 vs. Q1 = 1.50; 95% CI: 1.04–2.17; Ptrend = 0.03). There are positive associations of dietary β-cryptoxanthin intake with squamous carcinoma risk (HRQ4 vs. Q1 = 1.49; 95% CI: 1.03–2.15; Ptrend = 0.03). Further studies are warranted to confirm our findings.
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- 2022
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27. Prospective Proteomic Study Identifies Potential Circulating Protein Biomarkers for Colorectal Cancer Risk
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Xiaohui Sun, Xiao-Ou Shu, Qing Lan, Monika Laszkowska, Qiuyin Cai, Nathaniel Rothman, Wanqing Wen, Wei Zheng, and Xiang Shu
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colorectal cancer risk ,circulating proteomics ,biomarkers ,nested case-control study ,Shanghai Women’s Health Study ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Background: Proteomics-based technologies are emerging tools used for cancer biomarker discovery. Limited prospective studies have been conducted to evaluate the role of circulating proteins in colorectal cancer (CRC) development. Methods: A two-stage case-control proteomics study nested in the Shanghai Women’s Health Study was conducted. A total of 1104 circulating proteins were measured in the discovery phase, consisting of 100 incident CRC cases and 100 individually matched controls. An additional 60 case-control pairs were selected for validation. Protein profiling at both stages was completed using the Olink platforms. Conditional logistic regression was used to evaluate the associations between circulating proteins and CRC risk. The elastic net method was employed to develop a protein score for CRC risk. Results: In the discovery set, 27 proteins showed a nominally significant association with CRC risk, among which 22 were positively and 5 were inversely associated. Six of the 27 protein markers were significantly associated with CRC risk in the validation set. In the analysis of pooled discovery and validation sets, odds ratios (ORs) per standard deviation (SD) increase in levels of these proteins were 1.54 (95% confidence interval (CI): 1.15–2.06) for CD79B; 1.71 (95% CI: 1.24–2.34) for DDR1; 2.04 (95% CI: 1.39–3.01) for EFNA4; 1.54 (95% CI: 1.16–2.02) for FLRT2; 2.09 (95% CI: 1.47–2.98) for LTA4H and 1.88 (95% CI: 1.35–2.62) for NCR1. Sensitivity analyses showed consistent associations for all proteins with the exclusion of cases diagnosed within the first two years after the cohort enrollment, except for CD79B. Furthermore, a five-protein score was developed based on the six proteins identified and showed significant associations with CRC risk in both discovery and validation sets (Discovery: OR1-SD = 2.46, 95% CI: 1.53–3.95; validation: OR1-SD = 4.16, 95% CI: 1.92–8.99). Conclusions: A panel of five protein markers was identified as potential biomarkers for CRC risk. Our findings provide novel insights into the etiology of CRC and may facilitate the risk assessment of the malignancy.
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- 2022
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28. Tooth Loss and Risk of Lung Cancer among Urban Chinese Adults: A Cohort Study with Meta-Analysis
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Hyung-Suk Yoon, Xiao-Ou Shu, Yu-Tang Gao, Gong Yang, Hui Cai, Jiajun Shi, Jae Jeong Yang, Nathaniel Rothman, Qing Lan, Wei Zheng, and Qiuyin Cai
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lung cancer ,oral health ,tooth loss ,smoking ,prospective study ,meta-analysis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Epidemiological evidence on tooth loss and lung cancer risk remains limited, especially for smoking-specific associations. To investigate the association between tooth loss and lung cancer risk by smoking status, we first analyzed data from the Shanghai Men’s Health Study (n = 49,868) and the Shanghai Women’s Health Study (n = 44,309). Cox regression models were applied to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer risk in relation to tooth loss. We also conducted a meta-analysis to summarize epidemiologic findings to date, incorporating results from the current study and six previously published studies. For 7.3 median follow-up years, 973 incident lung cancer cases (613 men and 360 women) were ascertained. After adjustment for major covariates, tooth loss was associated with an increased risk of lung cancer among men (HR [95% CI] for >10 teeth vs. none = 1.59 [1.21–2.11]) but not among women (0.86 [0.50–1.46]). The positive association was stronger among male current smokers (1.75 [1.26–2.45], p-interaction by smoking status = 0.04). In a meta-analysis incorporating 4052 lung cancer cases and 248,126 non-cases, tooth loss was associated with a 1.64-fold increased risk of developing lung cancer (relative risk [RR, 95% CI] for the uppermost with the lowest category = 1.64 [1.44–1.86]). The positive association was more evident among current smokers (1.86 [1.41–2.46]), but no significant associations were found among never or former smokers. Our findings suggest that tooth loss may be associated with an increased risk of lung cancer, and the association could be modified by smoking status.
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- 2022
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29. Sub-multiplicative interaction between polygenic risk score and household coal use in relation to lung adenocarcinoma among never-smoking women in Asia
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Batel Blechter, Jason Y.Y. Wong, Chao Agnes Hsiung, H.Dean Hosgood, Zhihua Yin, Xiao-Ou Shu, Han Zhang, Jianxin Shi, Lei Song, Minsun Song, Wei Zheng, Zhaoming Wang, Neil Caporaso, Laurie Burdette, Meredith Yeager, Sonja I. Berndt, Maria Teresa Landi, Chien-Jen Chen, Gee-Chen Chang, Chin-Fu Hsiao, Ying-Huang Tsai, Kuan-Yu Chen, Ming-Shyan Huang, Wu-Chou Su, Yuh-Min Chen, Li-Hsin Chien, Chung-Hsing Chen, Tsung-Ying Yang, Chih-Liang Wang, Jen-Yu Hung, Chien-Chung Lin, Reury-Perng Perng, Chih-Yi Chen, Kun-Chieh Chen, Yao-Jen Li, Chong-Jen Yu, Yi-Song Chen, Ying-Hsiang Chen, Fang-Yu Tsai, Wei Jie Seow, Bryan A. Bassig, Wei Hu, Bu-Tian Ji, Wei Wu, Peng Guan, Qincheng He, Yu-Tang Gao, Qiuyin Cai, Wong-Ho Chow, Yong-Bing Xiang, Dongxin Lin, Chen Wu, Yi-Long Wu, Min-Ho Shin, Yun-Chul Hong, Keitaro Matsuo, Kexin Chen, Maria Pik Wong, Daru Lu, Li Jin, Jiu-Cun Wang, Adeline Seow, Tangchun Wu, Hongbing Shen, Joseph F. Fraumeni, Pan-Chyr Yang, I-Shou Chang, Baosen Zhou, Stephen J. Chanock, Nathaniel Rothman, Nilanjan Chatterjee, and Qing Lan
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Lung adenocarcinoma ,Polygenic risk score ,Gene-environment interaction ,Household coal use ,Never-smoking women in Asia ,Environmental sciences ,GE1-350 - Abstract
We previously identified 10 lung adenocarcinoma susceptibility loci in a genome-wide association study (GWAS) conducted in the Female Lung Cancer Consortium in Asia (FLCCA), the largest genomic study of lung cancer among never-smoking women to date. Furthermore, household coal use for cooking and heating has been linked to lung cancer in Asia, especially in Xuanwei, China. We investigated the potential interaction between genetic susceptibility and coal use in FLCCA. We analyzed GWAS-data from Taiwan, Shanghai, and Shenyang (1472 cases; 1497 controls), as well as a separate study conducted in Xuanwei (152 cases; 522 controls) for additional analyses. We summarized genetic susceptibility using a polygenic risk score (PRS), which was the weighted sum of the risk-alleles from the 10 previously identified loci. We estimated associations between a PRS, coal use (ever/never), and lung adenocarcinoma with multivariable logistic regression models, and evaluated potential gene-environment interactions using likelihood ratio tests. There was a strong association between continuous PRS and lung adenocarcinoma among never coal users (Odds Ratio (OR) = 1.69 (95% Confidence Interval (CI) = 1.53, 1.87), p=1 × 10−26). This effect was attenuated among ever coal users (OR = 1.24 (95% CI: 1.03, 1.50), p = 0.02, p-interaction = 6 × 10−3). We observed similar attenuation among coal users from Xuanwei. Our study provides evidence that genetic susceptibility to lung adenocarcinoma among never-smoking Asian women is weaker among coal users. These results suggest that lung cancer pathogenesis may differ, at least partially, depending on exposure to coal combustion products. Notably, these novel findings are among the few instances of sub-multiplicative gene-environment interactions in the cancer literature.
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- 2021
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30. Reply to Kenyon, 'Are Differences in the Oral Microbiome Due to Ancestry or Socioeconomics?'
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Yaohua Yang, Wei Zheng, Qiuyin Cai, Martha J. Shrubsole, Zhiheng Pei, Robert Brucker, Mark Steinwandel, Seth R. Bordenstein, Zhigang Li, William J. Blot, Xiao-Ou Shu, and Jirong Long
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host-microbial interaction ,oral microbiome ,Microbiology ,QR1-502 - Published
- 2020
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31. Racial Differences in the Oral Microbiome: Data from Low-Income Populations of African Ancestry and European Ancestry
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Yaohua Yang, Wei Zheng, Qiuyin Cai, Martha J. Shrubsole, Zhiheng Pei, Robert Brucker, Mark Steinwandel, Seth R. Bordenstein, Zhigang Li, William J. Blot, Xiao-Ou Shu, and Jirong Long
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oral microbiome ,racial difference ,Microbiology ,QR1-502 - Abstract
ABSTRACT Increasing evidence indicates the significant racial difference in gut, vaginal, and skin microbiomes. However, little is known regarding the racial difference in the oral microbiome. In this study, deep sequencing of 16S rRNA genes was utilized to assess the oral microbiome in mouth rinse samples of 1,058 African-Americans (AAs) and 558 European-Americans (EAs) from the Southern Community Cohort Study. Generally, AAs had a higher species richness than EAs, with P = 5.28 × 10−14 (Wilcoxon rank sum test) for Faith’s phylogenetic diversity index. A significant difference in overall microbiome composition was observed between AAs and EAs, with P = 5.94 × 10−4 (MiRKAT) for the weighted UniFrac distance matrix. We also found 32 bacterial taxa showing a significant differential abundance or prevalence between the two racial groups at a Bonferroni-corrected P
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- 2019
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32. Sex-Specific Associations between Gut Microbiome and Non-Alcoholic Fatty Liver Disease among Urban Chinese Adults
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Jiajun Shi, Yaohua Yang, Wanghong Xu, Hui Cai, Jie Wu, Jirong Long, Qiuyin Cai, Wei Zheng, Charles R. Flynn, Xiao-Ou Shu, and Danxia Yu
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non-alcoholic fatty liver disease ,gut microbiota ,prospective cohort study ,Asian population ,Biology (General) ,QH301-705.5 - Abstract
Non-alcoholic fatty liver disease (NAFLD) has been linked to altered gut microbiome; however, evidence from large population-based studies is limited. We compared gut microbiome profiles of 188 male and 233 female NAFLD cases with 571 male and 567 female controls from two longitudinal studies of urban Chinese adults. History of NAFLD was assessed during surveys administered in 2004–2017. Microbiota were assessed using 16S rRNA sequencing of stool samples collected in 2015–2018. Associations of NAFLD with microbiome diversity and composition were evaluated by generalized linear or logistic regression models. Compared with controls, male cases had lower microbial α-diversity, higher abundance of genera Dialister and Streptococcus and Bifidobacterium species, lower abundance of genus Phascolarctobacterium, and lower prevalence of taxa including order RF39 (all p < 0.05). In contrast, female cases had higher α-diversity, higher abundance of genus Butyricimonas and a family of order Clostridiales, lower abundance of Dialister and Bifidobacterium species, and higher prevalence of RF39. Significant NAFLD–sex interactions were found for α-diversity and above taxa (all false discovery rate < 0.1). In conclusion, we observed sex-specific gut microbiome features related to history of NAFLD. Further studies are needed to validate our findings and evaluate the health effects of NAFLD-related gut microbiota.
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- 2021
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33. Functional Genomic Analyses of the 21q22.3 Locus Identifying Functional Variants and Candidate Gene YBEY for Breast Cancer Risk
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Chris Shidal, Xiang Shu, Jie Wu, Jifeng Wang, Shuya Huang, Jirong Long, Joshua A. Bauer, Jie Ping, Xingyi Guo, Wei Zheng, Xiao-Ou Shu, and Qiuyin Cai
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breast cancer ,YBEY gene ,functional assays ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
We previously identified a locus at 21q22.3, tagged by the single nucleotide polymorphism (SNP) rs35418111, being associated with breast cancer risk at a genome-wide significance level; however, the underlying causal functional variants and gene(s) responsible for this association are unknown. We performed functional genomic analyses to identify potential functional variants and target genes that may mediate this association. Functional annotation for SNPs in high linkage disequilibrium (LD, r2 > 0.8) with rs35418111 in Asians showed evidence of promoter and/or enhancer activities, including rs35418111, rs2078203, rs8134832, rs57385578, and rs8126917. These five variants were assessed for interactions with nuclear proteins by electrophoretic mobility shift assays. Our results showed that the risk alleles for rs2078203 and rs35418111 altered DNA-protein interaction patterns. Cis-expression quantitative loci (cis-eQTL) analysis, using data from the Genotype-Tissue Expression database (GTEx) European-ancestry female normal breast tissue, indicated that the risk allele of rs35418111 was associated with a decreased expression of the YBEY gene, a relatively uncharacterized endoribonuclease in humans. We investigated the biological effects of YBEY on breast cancer cell lines by transient knock-down of YBEY expression in MCF-7, T47D, and MDA-MB-231 cell lines. Knockdown of YBEY mRNA in breast cancer cell lines consistently decreased cell proliferation, colony formation, and migration/invasion, regardless of estrogen receptor status. We performed RNA sequencing in MDA-MB-231 cells transfected with siRNA targeting YBEY and subsequent gene set enrichment analysis to identify gene networks associated with YBEY knockdown. These data indicated YBEY was involved in networks associated with inflammation and metabolism. Finally, we showed trends in YBEY expression patterns in breast tissues from The Cancer Genome Atlas (TCGA); early-stage breast cancers had elevated YBEY expression compared with normal tissue, but significantly decreased expression in late-stage disease. Our study provides evidence of a significant role for the human YBEY gene in breast cancer pathogenesis and the association between the rs35418111/21q22.3 locus and breast cancer risk, which may be mediated through functional SNPs, rs35418111 and rs2078203, that regulate expression of YBEY.
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- 2021
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34. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast–ovarian cancer susceptibility locus
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Kate Lawrenson, Siddhartha Kar, Karen McCue, Karoline Kuchenbaeker, Kyriaki Michailidou, Jonathan Tyrer, Jonathan Beesley, Susan J. Ramus, Qiyuan Li, Melissa K. Delgado, Janet M. Lee, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Banu K. Arun, Brita Arver, Elisa V. Bandera, Monica Barile, Rosa B. Barkardottir, Daniel Barrowdale, Matthias W. Beckmann, Javier Benitez, Andrew Berchuck, Maria Bisogna, Line Bjorge, Carl Blomqvist, William Blot, Natalia Bogdanova, Anders Bojesen, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Fiona Bruinsma, Joan Brunet, Shaik Ahmad Buhari, Barbara Burwinkel, Ralf Butzow, Saundra S. Buys, Qiuyin Cai, Trinidad Caldes, Ian Campbell, Rikki Canniotto, Jenny Chang-Claude, Jocelyne Chiquette, Ji-Yeob Choi, Kathleen B. M. Claes, GEMO Study Collaborators, Linda S. Cook, Angela Cox, Daniel W. Cramer, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Francesca Damiola, Agnieszka Dansonka-Mieszkowska, Hatef Darabi, Joe Dennis, Peter Devilee, Orland Diez, Jennifer A. Doherty, Susan M. Domchek, Cecilia M. Dorfling, Thilo Dörk, Martine Dumont, Hans Ehrencrona, Bent Ejlertsen, Steve Ellis, EMBRACE, Christoph Engel, Eunjung Lee, D. Gareth Evans, Peter A. Fasching, Lidia Feliubadalo, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Henrik Flyger, Lenka Foretova, Florentia Fostira, William D. Foulkes, Brooke L. Fridley, Eitan Friedman, Debra Frost, Gaetana Gambino, Patricia A. Ganz, Judy Garber, Montserrat García-Closas, Aleksandra Gentry-Maharaj, Maya Ghoussaini, Graham G. Giles, Rosalind Glasspool, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Ellen L. Goode, Marc T. Goodman, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Emily Hallberg, Ute Hamann, Thomas V. O. Hansen, Patricia A. Harrington, Mikael Hartman, Norhashimah Hassan, Sue Healey, The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Florian Heitz, Josef Herzog, Estrid Høgdall, Claus K. Høgdall, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Peter J. Hulick, Tomasz Huzarski, Evgeny N. Imyanitov, KConFab Investigators, Australian Ovarian Cancer Study Group, Claudine Isaacs, Hidemi Ito, Anna Jakubowska, Ramunas Janavicius, Allan Jensen, Esther M. John, Nichola Johnson, Maria Kabisch, Daehee Kang, Miroslav Kapuscinski, Beth Y. Karlan, Sofia Khan, Lambertus A. Kiemeney, Susanne Kruger Kjaer, Julia A. Knight, Irene Konstantopoulou, Veli-Matti Kosma, Vessela Kristensen, Jolanta Kupryjanczyk, Ava Kwong, Miguel de la Hoya, Yael Laitman, Diether Lambrechts, Nhu Le, Kim De Leeneer, Jenny Lester, Douglas A. Levine, Jingmei Li, Annika Lindblom, Jirong Long, Artitaya Lophatananon, Jennifer T. Loud, Karen Lu, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Loic Le Marchand, Sara Margolin, Frederik Marme, Leon F. A. G. Massuger, Keitaro Matsuo, Sylvie Mazoyer, Lesley McGuffog, Catriona McLean, Iain McNeish, Alfons Meindl, Usha Menon, Arjen R. Mensenkamp, Roger L. Milne, Marco Montagna, Kirsten B. Moysich, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, Roberta B. Ness, Susan L. Neuhausen, Heli Nevanlinna, Silje Nord, Robert L. Nussbaum, Kunle Odunsi, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Janet E. Olson, Curtis Olswold, David O’Malley, Irene Orlow, Nick Orr, Ana Osorio, Sue Kyung Park, Celeste L. Pearce, Tanja Pejovic, Paolo Peterlongo, Georg Pfeiler, Catherine M. Phelan, Elizabeth M. Poole, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Valerie Rhenius, Kerstin Rhiem, Harvey A. Risch, Gus Rodriguez, Mary Anne Rossing, Anja Rudolph, Helga B. Salvesen, Suleeporn Sangrajrang, Elinor J. Sawyer, Joellen M. Schildkraut, Marjanka K. Schmidt, Rita K. Schmutzler, Thomas A. Sellers, Caroline Seynaeve, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Weiva Sieh, Christian F. Singer, Olga M. Sinilnikova, Susan Slager, Honglin Song, Penny Soucy, Melissa C. Southey, Marie Stenmark-Askmalm, Dominique Stoppa-Lyonnet, Christian Sutter, Anthony Swerdlow, Sandrine Tchatchou, Manuel R. Teixeira, Soo H. Teo, Kathryn L. Terry, Mary Beth Terry, Mads Thomassen, Maria Grazia Tibiletti, Laima Tihomirova, Silvia Tognazzo, Amanda Ewart Toland, Ian Tomlinson, Diana Torres, Thérèse Truong, Chiu-chen Tseng, Nadine Tung, Shelley S. Tworoger, Celine Vachon, Ans M. W. van den Ouweland, Helena C. van Doorn, Elizabeth J. van Rensburg, Laura J. Van't Veer, Adriaan Vanderstichele, Ignace Vergote, Joseph Vijai, Qin Wang, Shan Wang-Gohrke, Jeffrey N. Weitzel, Nicolas Wentzensen, Alice S. Whittemore, Hans Wildiers, Robert Winqvist, Anna H. Wu, Drakoulis Yannoukakos, Sook-Yee Yoon, Jyh-Cherng Yu, Wei Zheng, Ying Zheng, Kum Kum Khanna, Jacques Simard, Alvaro N. Monteiro, Juliet D. French, Fergus J. Couch, Matthew L. Freedman, Douglas F. Easton, Alison M. Dunning, Paul D. Pharoah, Stacey L. Edwards, Georgia Chenevix-Trench, Antonis C. Antoniou, and Simon A. Gayther
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Science - Abstract
A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.
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- 2016
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35. Oral microbiome and obesity in a large study of low-income and African-American populations
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Yaohua Yang, Qiuyin Cai, Wei Zheng, Mark Steinwandel, William J. Blot, Xiao-Ou Shu, and Jirong Long
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oral microbiome ,obesity ,16s rrna gene sequencing ,southern community cohort study ,probiotic taxa ,Infectious and parasitic diseases ,RC109-216 ,Microbiology ,QR1-502 - Abstract
Few studies have evaluated the relationship of oral microbiome with obesity. We investigated the oral microbiome among 647 obese and 969 non-obese individuals from the Southern Community Cohort Study, through 16S rRNA gene sequencing in mouth rinse samples. We first investigated 16 taxa in two probiotic genera, Bifidobacterium and Lactobacillus. Among them, eight showed nominal associations with obesity (P
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- 2019
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36. Urinary Levels of Trimethylamine‐N‐Oxide and Incident Coronary Heart Disease: A Prospective Investigation Among Urban Chinese Adults
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Danxia Yu, Xiao‐Ou Shu, Emilio S. Rivera, Xianglan Zhang, Qiuyin Cai, Marion W. Calcutt, Yong‐Bing Xiang, Honglan Li, Yu‐Tang Gao, Thomas J. Wang, and Wei Zheng
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cardiovascular disease risk factors ,Chinese ,gut microbiota ,metabolomics ,nested case‐control study ,nutrition ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background Trimethylamine‐N‐oxide (TMAO), a diet‐derived, gut microbial–host cometabolite, has been associated with adverse cardiovascular outcomes in patient populations; however, evidence is lacking from prospective studies conducted in general populations and non‐Western populations. Methods and Results We evaluated urinary levels of TMAO and its precursor metabolites (ie, choline, betaine, and carnitine) in relation to risk of coronary heart disease (CHD) among Chinese adults in a nested case–control study, including 275 participants with incident CHD and 275 individually matched controls. We found that urinary TMAO, but not its precursors, was associated with risk of CHD. The odds ratio for the highest versus lowest quartiles of TMAO was 1.91 (95% CI, 1.08–3.35; Ptrend=0.008) after adjusting for CHD risk factors including obesity, diet, lifestyle, and metabolic diseases and 1.75 (95% CI, 0.96–3.18; Ptrend=0.03) after further adjusting for potential confounders or mediators including central obesity, dyslipidemia, inflammation, and intake of seafood and deep‐fried meat or fish, which were associated with TMAO level in this study. The odds ratio per standard deviation increase in log‐TMAO was 1.30 (95% CI, 1.03–1.63) in the fully adjusted model. A history of diabetes mellitus modified the TMAO–CHD association. A high TMAO level (greater than or equal to versus lower than the median) was associated with odds ratios of 6.21 (95% CI, 1.64–23.6) and 1.56 (95% CI, 1.00–2.43), respectively, among diabetic and nondiabetic participants (Pinteraction=0.02). Diabetes mellitus status also modified the associations of choline, betaine, and carnitine with risk of CHD; significant positive associations were found among diabetic participants, but null associations were noted among total and nondiabetic participants. Conclusions Our study suggests that TMAO may accelerate the development of CHD, highlighting the importance of diet–gut microbiota–host interplay in cardiometabolic health.
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- 2019
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37. An In Vivo Gain-of-Function Screen Identifies the Williams-Beuren Syndrome Gene GTF2IRD1 as a Mammary Tumor Promoter
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Yongliang Huo, Timothy Su, Qiuyin Cai, and Ian G. Macara
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Biology (General) ,QH301-705.5 - Abstract
The broad implementation of precision medicine in cancer is impeded by the lack of a complete inventory of the genes involved in tumorigenesis. We performed in vivo screening of ∼1,000 genes that are associated with signaling for positive roles in breast cancer, using lentiviral expression vectors in primary MMTV-ErbB2 mammary tissue. Gain of function of five genes, including RET, GTF2IRD1, ADORA1, LARS2, and DPP8, significantly promoted mammary tumor growth. We further studied one tumor-promoting gene, the transcription factor GTF2IRD1. The mis-regulation of genes downstream of GTF2IRD1, including TβR2 and BMPR1b, also individually promoted mammary cancer development, and silencing of TβR2 suppressed GTF2IRD1-driven tumor promotion. In addition, GTF2IRD1 is highly expressed in human breast tumors, correlating with high tumor grades and poor prognosis. Our in vivo approach is readily expandable to whole-genome annotation of tumor-promoting genes.
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- 2016
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38. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.
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Mary F Feitosa, Aldi T Kraja, Daniel I Chasman, Yun J Sung, Thomas W Winkler, Ioanna Ntalla, Xiuqing Guo, Nora Franceschini, Ching-Yu Cheng, Xueling Sim, Dina Vojinovic, Jonathan Marten, Solomon K Musani, Changwei Li, Amy R Bentley, Michael R Brown, Karen Schwander, Melissa A Richard, Raymond Noordam, Hugues Aschard, Traci M Bartz, Lawrence F Bielak, Rajkumar Dorajoo, Virginia Fisher, Fernando P Hartwig, Andrea R V R Horimoto, Kurt K Lohman, Alisa K Manning, Tuomo Rankinen, Albert V Smith, Salman M Tajuddin, Mary K Wojczynski, Maris Alver, Mathilde Boissel, Qiuyin Cai, Archie Campbell, Jin Fang Chai, Xu Chen, Jasmin Divers, Chuan Gao, Anuj Goel, Yanick Hagemeijer, Sarah E Harris, Meian He, Fang-Chi Hsu, Anne U Jackson, Mika Kähönen, Anuradhani Kasturiratne, Pirjo Komulainen, Brigitte Kühnel, Federica Laguzzi, Jian'an Luan, Nana Matoba, Ilja M Nolte, Sandosh Padmanabhan, Muhammad Riaz, Rico Rueedi, Antonietta Robino, M Abdullah Said, Robert A Scott, Tamar Sofer, Alena Stančáková, Fumihiko Takeuchi, Bamidele O Tayo, Peter J van der Most, Tibor V Varga, Veronique Vitart, Yajuan Wang, Erin B Ware, Helen R Warren, Stefan Weiss, Wanqing Wen, Lisa R Yanek, Weihua Zhang, Jing Hua Zhao, Saima Afaq, Najaf Amin, Marzyeh Amini, Dan E Arking, Tin Aung, Eric Boerwinkle, Ingrid Borecki, Ulrich Broeckel, Morris Brown, Marco Brumat, Gregory L Burke, Mickaël Canouil, Aravinda Chakravarti, Sabanayagam Charumathi, Yii-Der Ida Chen, John M Connell, Adolfo Correa, Lisa de Las Fuentes, Renée de Mutsert, H Janaka de Silva, Xuan Deng, Jingzhong Ding, Qing Duan, Charles B Eaton, Georg Ehret, Ruben N Eppinga, Evangelos Evangelou, Jessica D Faul, Stephan B Felix, Nita G Forouhi, Terrence Forrester, Oscar H Franco, Yechiel Friedlander, Ilaria Gandin, He Gao, Mohsen Ghanbari, Bruna Gigante, C Charles Gu, Dongfeng Gu, Saskia P Hagenaars, Göran Hallmans, Tamara B Harris, Jiang He, Sami Heikkinen, Chew-Kiat Heng, Makoto Hirata, Barbara V Howard, M Arfan Ikram, InterAct Consortium, Ulrich John, Tomohiro Katsuya, Chiea Chuen Khor, Tuomas O Kilpeläinen, Woon-Puay Koh, José E Krieger, Stephen B Kritchevsky, Michiaki Kubo, Johanna Kuusisto, Timo A Lakka, Carl D Langefeld, Claudia Langenberg, Lenore J Launer, Benjamin Lehne, Cora E Lewis, Yize Li, Shiow Lin, Jianjun Liu, Jingmin Liu, Marie Loh, Tin Louie, Reedik Mägi, Colin A McKenzie, Thomas Meitinger, Andres Metspalu, Yuri Milaneschi, Lili Milani, Karen L Mohlke, Yukihide Momozawa, Mike A Nalls, Christopher P Nelson, Nona Sotoodehnia, Jill M Norris, Jeff R O'Connell, Nicholette D Palmer, Thomas Perls, Nancy L Pedersen, Annette Peters, Patricia A Peyser, Neil Poulter, Leslie J Raffel, Olli T Raitakari, Kathryn Roll, Lynda M Rose, Frits R Rosendaal, Jerome I Rotter, Carsten O Schmidt, Pamela J Schreiner, Nicole Schupf, William R Scott, Peter S Sever, Yuan Shi, Stephen Sidney, Mario Sims, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, John M Starr, Konstantin Strauch, Heather M Stringham, Nicholas Y Q Tan, Hua Tang, Kent D Taylor, Yik Ying Teo, Yih Chung Tham, Stephen T Turner, André G Uitterlinden, Peter Vollenweider, Melanie Waldenberger, Lihua Wang, Ya Xing Wang, Wen Bin Wei, Christine Williams, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, Alan B Zonderman, Diane M Becker, Michael Boehnke, Donald W Bowden, John C Chambers, Ian J Deary, Tõnu Esko, Martin Farrall, Paul W Franks, Barry I Freedman, Philippe Froguel, Paolo Gasparini, Christian Gieger, Jost Bruno Jonas, Yoichiro Kamatani, Norihiro Kato, Jaspal S Kooner, Zoltán Kutalik, Markku Laakso, Cathy C Laurie, Karin Leander, Terho Lehtimäki, Lifelines Cohort Study, Patrik K E Magnusson, Albertine J Oldehinkel, Brenda W J H Penninx, Ozren Polasek, David J Porteous, Rainer Rauramaa, Nilesh J Samani, James Scott, Xiao-Ou Shu, Pim van der Harst, Lynne E Wagenknecht, Nicholas J Wareham, Hugh Watkins, David R Weir, Ananda R Wickremasinghe, Tangchun Wu, Wei Zheng, Claude Bouchard, Kaare Christensen, Michele K Evans, Vilmundur Gudnason, Bernardo L Horta, Sharon L R Kardia, Yongmei Liu, Alexandre C Pereira, Bruce M Psaty, Paul M Ridker, Rob M van Dam, W James Gauderman, Xiaofeng Zhu, Dennis O Mook-Kanamori, Myriam Fornage, Charles N Rotimi, L Adrienne Cupples, Tanika N Kelly, Ervin R Fox, Caroline Hayward, Cornelia M van Duijn, E Shyong Tai, Tien Yin Wong, Charles Kooperberg, Walter Palmas, Kenneth Rice, Alanna C Morrison, Paul Elliott, Mark J Caulfield, Patricia B Munroe, Dabeeru C Rao, Michael A Province, and Daniel Levy
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Medicine ,Science - Abstract
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
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- 2018
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39. The Circadian Rhythm Gene Arntl2 Is a Metastasis Susceptibility Gene for Estrogen Receptor-Negative Breast Cancer.
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Ngoc-Han Ha, Jirong Long, Qiuyin Cai, Xiao Ou Shu, and Kent W Hunter
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Genetics ,QH426-470 - Abstract
Breast cancer mortality is primarily due to metastasis rather than primary tumors, yet relatively little is understood regarding the etiology of metastatic breast cancer. Previously, using a mouse genetics approach, we demonstrated that inherited germline polymorphisms contribute to metastatic disease, and that these single nucleotide polymorphisms (SNPs) could be used to predict outcome in breast cancer patients. In this study, a backcross between a highly metastatic (FVB/NJ) and low metastatic (MOLF/EiJ) mouse strain identified Arntl2, a gene encoding a circadian rhythm transcription factor, as a metastasis susceptibility gene associated with progression, specifically in estrogen receptor-negative breast cancer patients. Integrated whole genome sequence analysis with DNase hypersensitivity sites reveals SNPs in the predicted promoter of Arntl2. Using CRISPR/Cas9-mediated substitution of the MOLF promoter, we demonstrate that the SNPs regulate Arntl2 transcription and affect metastatic burden. Finally, analysis of SNPs associated with ARNTL2 expression in human breast cancer patients revealed reproducible associations of ARNTL2 expression quantitative trait loci (eQTL) SNPs with disease-free survival, consistent with the mouse studies.
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- 2016
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40. RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
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Yan Guo, Jie Wu, Shilin Zhao, Fei Ye, Yinghao Su, Travis Clark, Quanhu Sheng, Brian Lehmann, Xiao-ou Shu, and Qiuyin Cai
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Genetics ,QH426-470 - Abstract
Background. Proper rRNA depletion is crucial for the successful utilization of FFPE specimens when studying gene expression. We performed a study to evaluate two major rRNA depletion methods: Ribo-Zero and RNase H. RNAs extracted from 4 samples were treated with the two rRNA depletion methods in duplicate and sequenced (N=16). We evaluated their reducibility, ability to detect RNA, and ability to molecularly subtype these triple negative breast cancer specimens. Results. Both rRNA depletion methods produced consistent data between the technical replicates. We found that the RNase H method produced higher quality RNAseq data as compared to the Ribo-Zero method. In addition, we evaluated the RNAseq data generated from the FFPE tissue samples for noncoding RNA, including lncRNA, enhancer/super enhancer RNA, and single nucleotide variation (SNV). We found that the RNase H is more suitable for detecting high-quality, noncoding RNAs as compared to the Ribo-Zero and provided more consistent molecular subtype identification between replicates. Unfortunately, neither method produced reliable SNV data. Conclusions. In conclusion, for FFPE specimens, the RNase H rRNA depletion method performed better than the Ribo-Zero. Neither method generates data sufficient for SNV detection.
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- 2016
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41. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus.
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Hisani N Horne, Charles C Chung, Han Zhang, Kai Yu, Ludmila Prokunina-Olsson, Kyriaki Michailidou, Manjeet K Bolla, Qin Wang, Joe Dennis, John L Hopper, Melissa C Southey, Marjanka K Schmidt, Annegien Broeks, Kenneth Muir, Artitaya Lophatananon, Peter A Fasching, Matthias W Beckmann, Olivia Fletcher, Nichola Johnson, Elinor J Sawyer, Ian Tomlinson, Barbara Burwinkel, Frederik Marme, Pascal Guénel, Thérèse Truong, Stig E Bojesen, Henrik Flyger, Javier Benitez, Anna González-Neira, Hoda Anton-Culver, Susan L Neuhausen, Hermann Brenner, Volker Arndt, Alfons Meindl, Rita K Schmutzler, Hiltrud Brauch, Ute Hamann, Heli Nevanlinna, Sofia Khan, Keitaro Matsuo, Hiroji Iwata, Thilo Dörk, Natalia V Bogdanova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Veli-Matti Kosma, Georgia Chenevix-Trench, kConFab/AOCS Investigators, Anna H Wu, David Ven den Berg, Ann Smeets, Hui Zhao, Jenny Chang-Claude, Anja Rudolph, Paolo Radice, Monica Barile, Fergus J Couch, Celine Vachon, Graham G Giles, Roger L Milne, Christopher A Haiman, Loic Le Marchand, Mark S Goldberg, Soo H Teo, Nur A M Taib, Vessela Kristensen, Anne-Lise Borresen-Dale, Wei Zheng, Martha Shrubsole, Robert Winqvist, Arja Jukkola-Vuorinen, Irene L Andrulis, Julia A Knight, Peter Devilee, Caroline Seynaeve, Montserrat García-Closas, Kamila Czene, Hatef Darabi, Antoinette Hollestelle, John W M Martens, Jingmei Li, Wei Lu, Xiao-Ou Shu, Angela Cox, Simon S Cross, William Blot, Qiuyin Cai, Mitul Shah, Craig Luccarini, Caroline Baynes, Patricia Harrington, Daehee Kang, Ji-Yeob Choi, Mikael Hartman, Kee Seng Chia, Maria Kabisch, Diana Torres, Anna Jakubowska, Jan Lubinski, Suleeporn Sangrajrang, Paul Brennan, Susan Slager, Drakoulis Yannoukakos, Chen-Yang Shen, Ming-Feng Hou, Anthony Swerdlow, Nick Orr, Jacques Simard, Per Hall, Paul D P Pharoah, Douglas F Easton, Stephen J Chanock, Alison M Dunning, and Jonine D Figueroa
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Medicine ,Science - Abstract
The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive.
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- 2016
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42. Methodological Considerations in Estimation of Phenotype Heritability Using Genome-Wide SNP Data, Illustrated by an Analysis of the Heritability of Height in a Large Sample of African Ancestry Adults.
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Fang Chen, Jing He, Jianqi Zhang, Gary K Chen, Venetta Thomas, Christine B Ambrosone, Elisa V Bandera, Sonja I Berndt, Leslie Bernstein, William J Blot, Qiuyin Cai, John Carpten, Graham Casey, Stephen J Chanock, Iona Cheng, Lisa Chu, Sandra L Deming, W Ryan Driver, Phyllis Goodman, Richard B Hayes, Anselm J M Hennis, Ann W Hsing, Jennifer J Hu, Sue A Ingles, Esther M John, Rick A Kittles, Suzanne Kolb, M Cristina Leske, Robert C Millikan, Kristine R Monroe, Adam Murphy, Barbara Nemesure, Christine Neslund-Dudas, Sarah Nyante, Elaine A Ostrander, Michael F Press, Jorge L Rodriguez-Gil, Ben A Rybicki, Fredrick Schumacher, Janet L Stanford, Lisa B Signorello, Sara S Strom, Victoria Stevens, David Van Den Berg, Zhaoming Wang, John S Witte, Suh-Yuh Wu, Yuko Yamamura, Wei Zheng, Regina G Ziegler, Alexander H Stram, Laurence N Kolonel, Loïc Le Marchand, Brian E Henderson, Christopher A Haiman, and Daniel O Stram
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Medicine ,Science - Abstract
Height has an extremely polygenic pattern of inheritance. Genome-wide association studies (GWAS) have revealed hundreds of common variants that are associated with human height at genome-wide levels of significance. However, only a small fraction of phenotypic variation can be explained by the aggregate of these common variants. In a large study of African-American men and women (n = 14,419), we genotyped and analyzed 966,578 autosomal SNPs across the entire genome using a linear mixed model variance components approach implemented in the program GCTA (Yang et al Nat Genet 2010), and estimated an additive heritability of 44.7% (se: 3.7%) for this phenotype in a sample of evidently unrelated individuals. While this estimated value is similar to that given by Yang et al in their analyses, we remain concerned about two related issues: (1) whether in the complete absence of hidden relatedness, variance components methods have adequate power to estimate heritability when a very large number of SNPs are used in the analysis; and (2) whether estimation of heritability may be biased, in real studies, by low levels of residual hidden relatedness. We addressed the first question in a semi-analytic fashion by directly simulating the distribution of the score statistic for a test of zero heritability with and without low levels of relatedness. The second question was addressed by a very careful comparison of the behavior of estimated heritability for both observed (self-reported) height and simulated phenotypes compared to imputation R2 as a function of the number of SNPs used in the analysis. These simulations help to address the important question about whether today's GWAS SNPs will remain useful for imputing causal variants that are discovered using very large sample sizes in future studies of height, or whether the causal variants themselves will need to be genotyped de novo in order to build a prediction model that ultimately captures a large fraction of the variability of height, and by implication other complex phenotypes. Our overall conclusions are that when study sizes are quite large (5,000 or so) the additive heritability estimate for height is not apparently biased upwards using the linear mixed model; however there is evidence in our simulation that a very large number of causal variants (many thousands) each with very small effect on phenotypic variance will need to be discovered to fill the gap between the heritability explained by known versus unknown causal variants. We conclude that today's GWAS data will remain useful in the future for causal variant prediction, but that finding the causal variants that need to be predicted may be extremely laborious.
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- 2015
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43. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
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Maggie C Y Ng, Daniel Shriner, Brian H Chen, Jiang Li, Wei-Min Chen, Xiuqing Guo, Jiankang Liu, Suzette J Bielinski, Lisa R Yanek, Michael A Nalls, Mary E Comeau, Laura J Rasmussen-Torvik, Richard A Jensen, Daniel S Evans, Yan V Sun, Ping An, Sanjay R Patel, Yingchang Lu, Jirong Long, Loren L Armstrong, Lynne Wagenknecht, Lingyao Yang, Beverly M Snively, Nicholette D Palmer, Poorva Mudgal, Carl D Langefeld, Keith L Keene, Barry I Freedman, Josyf C Mychaleckyj, Uma Nayak, Leslie J Raffel, Mark O Goodarzi, Y-D Ida Chen, Herman A Taylor, Adolfo Correa, Mario Sims, David Couper, James S Pankow, Eric Boerwinkle, Adebowale Adeyemo, Ayo Doumatey, Guanjie Chen, Rasika A Mathias, Dhananjay Vaidya, Andrew B Singleton, Alan B Zonderman, Robert P Igo, John R Sedor, FIND Consortium, Edmond K Kabagambe, David S Siscovick, Barbara McKnight, Kenneth Rice, Yongmei Liu, Wen-Chi Hsueh, Wei Zhao, Lawrence F Bielak, Aldi Kraja, Michael A Province, Erwin P Bottinger, Omri Gottesman, Qiuyin Cai, Wei Zheng, William J Blot, William L Lowe, Jennifer A Pacheco, Dana C Crawford, eMERGE Consortium, DIAGRAM Consortium, Elin Grundberg, MuTHER Consortium, Stephen S Rich, M Geoffrey Hayes, Xiao-Ou Shu, Ruth J F Loos, Ingrid B Borecki, Patricia A Peyser, Steven R Cummings, Bruce M Psaty, Myriam Fornage, Sudha K Iyengar, Michele K Evans, Diane M Becker, W H Linda Kao, James G Wilson, Jerome I Rotter, Michèle M Sale, Simin Liu, Charles N Rotimi, Donald W Bowden, and MEta-analysis of type 2 DIabetes in African Americans Consortium
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Genetics ,QH426-470 - Abstract
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)
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- 2014
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44. Correlates of 25-hydroxyvitamin D among Chinese breast cancer patients.
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Liang Shi, Sarah Nechuta, Yu-Tang Gao, Ying Zheng, Tsogzolmaa Dorjgochoo, Jie Wu, Qiuyin Cai, Wei Zheng, Wei Lu, and Xiao Ou Shu
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Medicine ,Science - Abstract
Few studies have investigated vitamin D status in association with modifiable lifestyle factors and clinical characteristics among breast cancer patients, with no studies among Chinese women, who may be at higher risk of vitamin D deficiency. We aimed to evaluate circulating 25-hydroxyvitamin D (25(OH)D) levels in association with clinical and lifestyle factors among 1,940 Chinese breast cancer patients.Participants included breast cancer cases aged 22-77 from a population-based case-control study conducted in Shanghai, China during 1996-1998 (n = 1,044) and 2002-2005 (n = 896). Circulating 25(OH)D levels were measured in plasma samples (95% collected ≤6 months post-diagnosis). Prevalence ORs and 95% CIs were derived from multinomial logistic regression models, adjusting for age, season, and other factors.About 23% and 48% of women were vitamin D deficient (
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- 2014
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45. Correction: Evaluating Genome-Wide Association Study-Identified Breast Cancer Risk Variants in African-American Women.
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Jirong Long, Ben Zhang, Lisa B. Signorello, Qiuyin Cai, Sandra Deming-Halverson, Martha J. Shrubsole, Maureen Sanderson, Joe Dennis, Kyriaki Michailidou, Douglas F. Easton, Xiao-Ou Shu, William J. Blot, and Wei Zheng
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Medicine ,Science - Published
- 2014
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46. Evaluating genome-wide association study-identified breast cancer risk variants in African-American women.
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Jirong Long, Ben Zhang, Lisa B Signorello, Qiuyin Cai, Sandra Deming-Halverson, Martha J Shrubsole, Maureen Sanderson, Joe Dennis, Kyriaki Michailidou, Douglas F Easton, Xiao-Ou Shu, William J Blot, and Wei Zheng
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Medicine ,Science - Abstract
Genome-wide association studies (GWAS), conducted mostly in European or Asian descendants, have identified approximately 67 genetic susceptibility loci for breast cancer. Given the large differences in genetic architecture between the African-ancestry genome and genomes of Asians and Europeans, it is important to investigate these loci in African-ancestry populations. We evaluated index SNPs in all 67 breast cancer susceptibility loci identified to date in our study including up to 3,300 African-American women (1,231 cases and 2,069 controls), recruited in the Southern Community Cohort Study (SCCS) and the Nashville Breast Health Study (NBHS). Seven SNPs were statistically significant (P ≤ 0.05) with the risk of overall breast cancer in the same direction as previously reported: rs10069690 (5p15/TERT), rs999737 (14q24/RAD51L1), rs13387042 (2q35/TNP1), rs1219648 (10q26/FGFR2), rs8170 (19p13/BABAM1), rs17817449 (16q12/FTO), and rs13329835 (16q23/DYL2). A marginally significant association (P
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- 2013
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47. Association of genetic markers in the BCL-2 family of apoptosis-related genes with endometrial cancer risk in a Chinese population.
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Tsogzolmaa Dorjgochoo, Yong-Bing Xiang, Jirong Long, Jiajun Shi, Sandra Deming, Wang-Hong Xu, Hui Cai, Jiarong Cheng, Qiuyin Cai, Wei Zheng, and Xiao-Ou Shu
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Medicine ,Science - Abstract
In vitro studies have demonstrated the role of the BCL-2 family of genes in endometrial carcinogenesis. The role of genetic variants in BCL-2 genes and their interactions with non-genetic factors in the development of endometrial cancer has not been investigated in epidemiological studies.We examined the relationship between BCL-2 gene family variants and endometrial cancer risk among 1,028 patients and 1,922 age-matched community controls from Shanghai, China. We also investigated possible interactions between genetic variants and established risk factors (demographic, lifestyle and clinical). Individuals were genotyped for 86 tagging single nucleotide polymorphisms (SNPs) in the BCL2, BAX, BAD and BAK1 genes.Significant associations with endometrial cancer risk were found for 9 SNPs in the BCL2 gene (P trend
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- 2013
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48. Evaluating GWAS-identified SNPs for age at natural menopause among chinese women.
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Chong Shen, Ryan J Delahanty, Yu-Tang Gao, Wei Lu, Yong-Bing Xiang, Ying Zheng, Qiuyin Cai, Wei Zheng, Xiao-Ou Shu, and Jirong Long
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Medicine ,Science - Abstract
Age at natural menopause (ANM) is a complex trait with high heritability and is associated with several major hormonal-related diseases. Recently, several genome-wide association studies (GWAS), conducted exclusively among women of European ancestry, have discovered dozens of genetic loci influencing ANM. No study has been conducted to evaluate whether these findings can be generalized to Chinese women.We evaluated the index single nucleotide polymorphisms (SNPs) in 19 GWAS-identified genetic susceptibility loci for ANM among 3,533 Chinese women who had natural menopause. We also investigated 3 additional SNPs which were in LD with the index SNP in European-ancestry but not in Asian-ancestry populations. Two genetic risk scores (GRS) were calculated to summarize SNPs across multiple loci one for all SNPs tested (GRSall), and one for SNPs which showed association in our study (GRSsel). All 22 SNPs showed the same association direction as previously reported. Eight SNPs were nominally statistically significant with P≤0.05: rs4246511 (RHBDL2), rs12461110 (NLRP11), rs2307449 (POLG), rs12611091 (BRSK1), rs1172822 (BRSK1), rs365132 (UIMC1), rs2720044 (ASH2L), and rs7246479 (TMEM150B). Especially, SNPs rs4246511, rs365132, rs1172822, and rs7246479 remained significant even after Bonferroni correction. Significant associations were observed for GRS. Women in the highest quartile began menopause 0.7 years (P = 3.24×10(-9)) and 0.9 years (P = 4.61×10(-11)) later than those in the lowest quartile for GRSsel and GRSall, respectively.Among the 22 investigated SNPs, eight showed associations with ANM (P
- Published
- 2013
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49. Longer telomere length in peripheral white blood cells is associated with risk of lung cancer and the rs2736100 (CLPTM1L-TERT) polymorphism in a prospective cohort study among women in China.
- Author
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Qing Lan, Richard Cawthon, Yutang Gao, Wei Hu, H Dean Hosgood, Francesco Barone-Adesi, Bu-Tian Ji, Bryan Bassig, Wong-Ho Chow, Xiaoou Shu, Qiuyin Cai, Yongbin Xiang, Sonja Berndt, Christopher Kim, Stephen Chanock, Wei Zheng, and Nathaniel Rothman
- Subjects
Medicine ,Science - Abstract
A recent genome-wide association study of lung cancer among never-smoking females in Asia demonstrated that the rs2736100 polymorphism in the TERT-CLPTM1L locus on chromosome 5p15.33 was strongly and significantly associated with risk of adenocarcinoma of the lung. The telomerase gene TERT is a reverse transcriptase that is critical for telomere replication and stabilization by controlling telomere length. We previously found that longer telomere length measured in peripheral white blood cell DNA was associated with increased risk of lung cancer in a prospective cohort study of smoking males in Finland. To follow up on this finding, we carried out a nested case-control study of 215 female lung cancer cases and 215 female controls, 94% of whom were never-smokers, in the prospective Shanghai Women's Health Study cohort. There was a dose-response relationship between tertiles of telomere length and risk of lung cancer (odds ratio (OR), 95% confidence interval [CI]: 1.0, 1.4 [0.8-2.5], and 2.2 [1.2-4.0], respectively; P trend = 0.003). Further, the association was unchanged by the length of time from blood collection to case diagnosis. In addition, the rs2736100 G allele, which we previously have shown to be associated with risk of lung cancer in this cohort, was significantly associated with longer telomere length in these same study subjects (P trend = 0.030). Our findings suggest that individuals with longer telomere length in peripheral white blood cells may have an increased risk of lung cancer, but require replication in additional prospective cohorts and populations.
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- 2013
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50. Genome-wide association study in east Asians identifies novel susceptibility loci for breast cancer.
- Author
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Jirong Long, Qiuyin Cai, Hyuna Sung, Jiajun Shi, Ben Zhang, Ji-Yeob Choi, Wanqing Wen, Ryan J Delahanty, Wei Lu, Yu-Tang Gao, Hongbing Shen, Sue K Park, Kexin Chen, Chen-Yang Shen, Zefang Ren, Christopher A Haiman, Keitaro Matsuo, Mi Kyung Kim, Ui Soon Khoo, Motoki Iwasaki, Ying Zheng, Yong-Bing Xiang, Kai Gu, Nathaniel Rothman, Wenjing Wang, Zhibin Hu, Yao Liu, Keun-Young Yoo, Dong-Young Noh, Bok-Ghee Han, Min Hyuk Lee, Hong Zheng, Lina Zhang, Pei-Ei Wu, Ya-Lan Shieh, Sum Yin Chan, Shenming Wang, Xiaoming Xie, Sung-Won Kim, Brian E Henderson, Loic Le Marchand, Hidemi Ito, Yoshio Kasuga, Sei-Hyun Ahn, Han Sung Kang, Kelvin Y K Chan, Hiroji Iwata, Shoichiro Tsugane, Chun Li, Xiao-Ou Shu, Dae-Hee Kang, and Wei Zheng
- Subjects
Genetics ,QH426-470 - Abstract
Genetic factors play an important role in the etiology of both sporadic and familial breast cancer. We aimed to discover novel genetic susceptibility loci for breast cancer. We conducted a four-stage genome-wide association study (GWAS) in 19,091 cases and 20,606 controls of East-Asian descent including Chinese, Korean, and Japanese women. After analyzing 690,947 SNPs in 2,918 cases and 2,324 controls, we evaluated 5,365 SNPs for replication in 3,972 cases and 3,852 controls. Ninety-four SNPs were further evaluated in 5,203 cases and 5,138 controls, and finally the top 22 SNPs were investigated in up to 17,423 additional subjects (7,489 cases and 9,934 controls). SNP rs9485372, near the TGF-β activated kinase (TAB2) gene in chromosome 6q25.1, showed a consistent association with breast cancer risk across all four stages, with a P-value of 3.8×10(-12) in the combined analysis of all samples. Adjusted odds ratios (95% confidence intervals) were 0.89 (0.85-0.94) and 0.80 (0.75-0.86) for the A/G and A/A genotypes, respectively, compared with the genotype G/G. SNP rs9383951 (P = 1.9×10(-6) from the combined analysis of all samples), located in intron 5 of the ESR1 gene, and SNP rs7107217 (P = 4.6×10(-7)), located at 11q24.3, also showed a consistent association in each of the four stages. This study provides strong evidence for a novel breast cancer susceptibility locus represented by rs9485372, near the TAB2 gene (6q25.1), and identifies two possible susceptibility loci located in the ESR1 gene and 11q24.3, respectively.
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- 2012
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