2,397 results on '"Schadt, Eric"'
Search Results
302. Advances in systems biology are enhancing our understanding of disease and moving us closer to novel disease treatments
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Schadt, Eric E., Zhang, Bin, and Zhu, Jun
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- 2009
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303. Biopsy and blood-based molecular biomarker of inflammation in IBD
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Argmann, Carmen, Hou, Ruixue, Ungaro, Ryan C, Irizar, Haritz, Al-Taie, Zainab, Huang, Ruiqi, Kosoy, Roman, Venkat, Swati, Song, Won-Min, Di'Narzo, Antonio F, Losic, Bojan, Hao, Ke, Peters, Lauren, Comella, Phillip H, Wei, Gabrielle, Atreja, Ashish, Mahajan, Milind, Iuga, Alina, Desai, Prerak T, Branigan, Patrick, Stojmirovic, Aleksandar, Perrigoue, Jacqueline, Brodmerkel, Carrie, Curran, Mark, Friedman, Joshua R, Hart, Amy, Lamousé-Smith, Esi, Wehkamp, Jan, Mehandru, Saurabh, Schadt, Eric E, Sands, Bruce E, Dubinsky, Marla C, Colombel, Jean-Frederic, Kasarskis, Andrew, and Suárez-Fariñas, Mayte
- Abstract
ObjectiveIBD therapies and treatments are evolving to deeper levels of remission. Molecular measures of disease may augment current endpoints including the potential for less invasive assessments.DesignTranscriptome analysis on 712 endoscopically defined inflamed (Inf) and 1778 non-inflamed (Non-Inf) intestinal biopsies (n=498 Crohn’s disease, n=421 UC and 243 controls) in the Mount Sinai Crohn’s and Colitis Registry were used to identify genes differentially expressed between Inf and Non-Inf biopsies and to generate a molecular inflammation score (bMIS) via gene set variance analysis. A circulating MIS (cirMIS) score, reflecting intestinal molecular inflammation, was generated using blood transcriptome data. bMIS/cirMIS was validated as indicators of intestinal inflammation in four independent IBD cohorts.ResultsbMIS/cirMIS was strongly associated with clinical, endoscopic and histological disease activity indices. Patients with the same histologic score of inflammation had variable bMIS scores, indicating that bMIS describes a deeper range of inflammation. In available clinical trial data sets, both scores were responsive to IBD treatment. Despite similar baseline endoscopic and histologic activity, UC patients with lower baseline bMIS levels were more likely treatment responders compared with those with higher levels. Finally, among patients with UC in endoscopic and histologic remission, those with lower bMIS levels were less likely to have a disease flare over time.ConclusionTranscriptionally based scores provide an alternative objective and deeper quantification of intestinal inflammation, which could augment current clinical assessments used for disease monitoring and have potential for predicting therapeutic response and patients at higher risk of disease flares.
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- 2023
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304. Prevalence and disease predisposition of p.A91V perforin in an aged population of European ancestry
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Voskoboinik, Ilia, Lacaze, Paul, Jang, Helena Sung-In, Flinsenberg, Thijs, Fernando, Suran L., Kerridge, Ian, Riaz, Moeen, Sebra, Robert, Thia, Kevin, Noori, Taherah, Schadt, Eric E., McNeil, John J., and Trapani, Joseph A.
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- 2020
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305. 23 - Systems Biology
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Cohain, Ariella T., Schadt, Eric E., and Bunyavanich, Supinda
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- 2020
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306. Molecular networks as sensors and drivers of common human diseases
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Schadt, Eric E.
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Genomics -- Research -- Genetic aspects ,Diseases -- United States -- Genetic aspects -- Research ,Molecular biology -- Research -- Genetic aspects ,Environmental issues ,Science and technology ,Zoology and wildlife conservation ,Research ,Genetic aspects - Abstract
The molecular biology revolution led to an intense focus on the study of interactions between DNA, RNA and protein biosynthesis in order to develop a more comprehensive understanding of the cell. One consequence of this focus was a reduced attention to whole-system physiology, making it difficult to link molecular biology to clinical medicine. Equipped with the tools emerging from the genomics revolution, we are now in a position to link molecular states to physiological ones through the reverse engineering of molecular networks that sense DNA and environmental perturbations and, as a result, drive variations in physiological states associated with disease., Our understanding of common human diseases and how best to treat them is hampered by the complexity of the human system in which they are manifested. Unlike simple Mendelian disorders, [...]
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- 2009
307. Genetic variants associated with inherited cardiovascular disorders among 13,131 asymptomatic older adults of European descent
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Lacaze, Paul, primary, Sebra, Robert, additional, Riaz, Moeen, additional, Ingles, Jodie, additional, Tiller, Jane, additional, Thompson, Bryony A., additional, James, Paul A., additional, Fatkin, Diane, additional, Semsarian, Christopher, additional, Reid, Christopher M., additional, Tonkin, Andrew M., additional, Winship, Ingrid, additional, Schadt, Eric, additional, and McNeil, John J., additional
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- 2021
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308. Effect of APOE and a polygenic risk score on incident dementia and cognitive decline in a healthy older population
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Riaz, Moeen, primary, Huq, Aamira, additional, Ryan, Joanne, additional, Orchard, Suzanne G, additional, Tiller, Jane, additional, Lockery, Jessica, additional, Woods, Robyn L., additional, Wolfe, Rory, additional, Renton, Alan E., additional, Goate, Alison M., additional, Sebra, Robert, additional, Schadt, Eric, additional, Brodtmann, Amy, additional, Shah, Raj C., additional, Storey, Elsdon, additional, Murray, Anne M, additional, McNeil, John J., additional, and Lacaze, Paul, additional
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- 2021
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309. Detecting and phasing minor single-nucleotide variants from long-read sequencing data
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Feng, Zhixing, primary, Clemente, Jose C., additional, Wong, Brandon, additional, and Schadt, Eric E., additional
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- 2021
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310. Extracting longitudinal anticancer treatments at scale using deep natural language processing and temporal reasoning.
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Ma, Meng, primary, Lee, Kyeryoung, additional, Mai, Yun, additional, Gilman, Christopher, additional, Liu, Zongzhi, additional, Zhang, Mingwei, additional, Li, Minghao, additional, Redfern, Arielle, additional, Mullaney, Tommy, additional, Prentice, Tony, additional, McDonagh, Paul, additional, Pan, Qi, additional, Chen, Rong, additional, Schadt, Eric, additional, and Wang, Xiaoyan, additional
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- 2021
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311. Comparative efficacy of docetaxel versus novel hormonal agent in de novo metastatic hormone-sensitive prostate cancer: Real-world data curated by deidentified chart abstraction.
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Liaw, Bobby Chi-Hung, primary, Guin, Sunny, additional, Jun, Tomi, additional, Ayers, Kristin, additional, Patel, Bonny, additional, O'Connell, Timmy, additional, Dietz, Matthew, additional, Klein, Michael, additional, Prentice, Tony, additional, Newman, Scott, additional, Fink, Marc, additional, Zhou, Xiang, additional, Schadt, Eric, additional, Chen, Rong, additional, and Oh, William K., additional
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- 2021
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312. Continuous genomic monitoring of multiple myeloma patients to identify patients of high risk for poor prognosis.
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Liu, Yu, primary, Yu, Haocheng, additional, Lagana, Alessandro, additional, Parekh, Samir, additional, Schadt, Eric, additional, Wang, Li, additional, and Zhu, Jun, additional
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- 2021
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313. Analyzing treatment patterns and time to the next treatment in chronic lymphocytic leukemia real-world data using automated temporal phenotyping.
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Lee, Kyeryoung, primary, Liu, Zongzhi, additional, Ma, Meng, additional, Mai, Yun, additional, Gilman, Christopher, additional, Li, Minghao, additional, Zhang, Mingwei, additional, Mullaney, Tommy, additional, Pan, Qi, additional, Chen, Rong, additional, Schadt, Eric, additional, and Wang, Xiaoyan, additional
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- 2021
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314. Phenotyping of clinical trial eligibility text from cancer studies into computable criteria in electronic health records.
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Mai, Yun, primary, Lee, Kyeryoung, additional, Liu, Zongzhi, additional, Ma, Meng, additional, Gilman, Christopher, additional, Li, Minghao, additional, Zhang, Mingwei, additional, Li, Zhiqiang, additional, Fink, Marc, additional, Mullaney, Tommy, additional, Prentice, Tony, additional, Ghosh, Krish, additional, Makosiej, Frank, additional, Pan, Qi, additional, Chen, Rong, additional, Schadt, Eric, additional, and Wang, Xiaoyan, additional
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- 2021
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315. Analysis of Real-World Data to Investigate the Impact of Race and Ethnicity on Response to Programmed Cell Death-1 and Programmed Cell Death-Ligand 1 Inhibitors in Advanced Non-Small Cell Lung Cancers
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Ayers, Kristin L., primary, Mullaney, Tommy, additional, Zhou, Xiang, additional, Liu, Jane J., additional, Lee, Kyeryoung, additional, Ma, Meng, additional, Jones, Scott, additional, Li, Li, additional, Redfern, Arielle, additional, Jappe, Whitney, additional, Liu, Zongzhi, additional, Goldsweig, Howard, additional, Yadav, Kamlesh K., additional, Hahner, Nicholas, additional, Dietz, Matthew, additional, Zimmerman, Michelle, additional, Prentice, Tony, additional, Newman, Scott, additional, Veluswamy, Rajwanth, additional, Wisnivesky, Juan, additional, Hirsch, Fred R., additional, Oh, William K., additional, Li, Shuyu D., additional, Schadt, Eric E., additional, and Chen, Rong, additional
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- 2021
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316. Association of in-hospital use of ACE-I/ARB and COVID-19 outcomes in African American population
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Li, Shilong, primary, Sarangarajan, Rangaprasad, additional, Jun, Tomi, additional, Kao, Yu-Han, additional, Wang, Zichen, additional, Schadt, Emilio, additional, Kiebish, Michael A., additional, Granger, Elder, additional, Narain, Niven R., additional, Chen, Rong, additional, Schadt, Eric E., additional, and Li, Li, additional
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- 2021
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317. A composite biomarker of neutrophil-lymphocyte ratio and hemoglobin level correlates with clinical response to PD-1 and PD-L1 inhibitors in advanced non-small cell lung cancers
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Ayers, Kristin L., primary, Ma, Meng, additional, Debussche, Gaspard, additional, Corrigan, David, additional, McCafferty, Jonathan, additional, Lee, Kyeryoung, additional, Newman, Scott, additional, Zhou, Xiang, additional, Hirsch, Fred R., additional, Mack, Philip C., additional, Liu, Jane J., additional, Schadt, Eric E., additional, Chen, Rong, additional, and Li, Shuyu D., additional
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- 2021
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318. Haploinsufficiency of POU4F1 causes an ataxia syndrome with hypotonia and intention tremor
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Webb, Bryn D., primary, Evans, Anthony, additional, Naidich, Thomas P., additional, Bird, Lynne M., additional, Parikh, Sumit, additional, Fernandez Garcia, Meilin, additional, Henderson, Lindsay B., additional, Millan, Francisca, additional, Si, Yue, additional, Brennand, Kristen J., additional, Hung, Peter, additional, Rucker, Janet C., additional, Wheeler, Patricia G., additional, and Schadt, Eric E., additional
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- 2021
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319. Integrative Network Analysis of Early-Stage Lung Adenocarcinoma Identifies Aurora Kinase Inhibition as Interceptor of Invasion and Progression
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Yoo, Seungyeul, primary, Sinha, Abhilasha, additional, Yang, Dawei, additional, Altorki, Nasser, additional, Tandon, Radhika, additional, Wang, Wenhui, additional, Chavez, Deebly, additional, Lee, Eunjee, additional, Patel, Ayushi, additional, Sato, Takashi, additional, Kong, Ranran, additional, Ding, Bisen, additional, Schadt, Eric, additional, Watanabe, Hideo, additional, Massion, Pierre, additional, Borczuk, Alain, additional, Zhu, Jun, additional, and Powell, Charles, additional
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- 2021
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320. COVID-19 outcomes among hospitalized men with or without exposure to alpha-1-adrenergic receptor blocking agents
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Li, Shilong, primary, Jun, Tomi, additional, Wang, Zichen, additional, Kao, Yu-Han, additional, Schadt, Emilio, additional, Konig, Maximilian F., additional, Bettegowda, Chetan, additional, Vogelstein, Joshua T., additional, Papadopoulos, Nickolas, additional, Parsons, Ramon E., additional, Chen, Rong, additional, Schadt, Eric E., additional, Li, Li, additional, and Oh, William K., additional
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- 2021
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321. Myeloid Cell–associated Resistance to PD-1/PD-L1 Blockade in Urothelial Cancer Revealed Through Bulk and Single-cell RNA Sequencing
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Wang, Li, primary, Sfakianos, John P., additional, Beaumont, Kristin G., additional, Akturk, Guray, additional, Horowitz, Amir, additional, Sebra, Robert P., additional, Farkas, Adam M., additional, Gnjatic, Sacha, additional, Hake, Austin, additional, Izadmehr, Sudeh, additional, Wiklund, Peter, additional, Oh, William K., additional, Szabo, Peter M., additional, Wind-Rotolo, Megan, additional, Unsal-Kacmaz, Keziban, additional, Yao, Xin, additional, Schadt, Eric, additional, Sharma, Padmanee, additional, Bhardwaj, Nina, additional, Zhu, Jun, additional, and Galsky, Matthew D., additional
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- 2021
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322. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry
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Graff, Mariaelisa, primary, Justice, Anne E., additional, Young, Kristin L., additional, Marouli, Eirini, additional, Zhang, Xinruo, additional, Fine, Rebecca S., additional, Lim, Elise, additional, Buchanan, Victoria, additional, Rand, Kristin, additional, Feitosa, Mary F., additional, Wojczynski, Mary K., additional, Yanek, Lisa R., additional, Shao, Yaming, additional, Rohde, Rebecca, additional, Adeyemo, Adebowale A., additional, Aldrich, Melinda C., additional, Allison, Matthew A., additional, Ambrosone, Christine B., additional, Ambs, Stefan, additional, Amos, Christopher, additional, Arnett, Donna K., additional, Atwood, Larry, additional, Bandera, Elisa V., additional, Bartz, Traci, additional, Becker, Diane M., additional, Berndt, Sonja I., additional, Bernstein, Leslie, additional, Bielak, Lawrence F., additional, Blot, William J., additional, Bottinger, Erwin P., additional, Bowden, Donald W., additional, Bradfield, Jonathan P., additional, Brody, Jennifer A., additional, Broeckel, Ulrich, additional, Burke, Gregory, additional, Cade, Brian E., additional, Cai, Qiuyin, additional, Caporaso, Neil, additional, Carlson, Chris, additional, Carpten, John, additional, Casey, Graham, additional, Chanock, Stephen J., additional, Chen, Guanjie, additional, Chen, Minhui, additional, Chen, Yii-Der I., additional, Chen, Wei-Min, additional, Chesi, Alessandra, additional, Chiang, Charleston W.K., additional, Chu, Lisa, additional, Coetzee, Gerry A., additional, Conti, David V., additional, Cooper, Richard S., additional, Cushman, Mary, additional, Demerath, Ellen, additional, Deming, Sandra L., additional, Dimitrov, Latchezar, additional, Ding, Jingzhong, additional, Diver, W. Ryan, additional, Duan, Qing, additional, Evans, Michele K., additional, Falusi, Adeyinka G., additional, Faul, Jessica D., additional, Fornage, Myriam, additional, Fox, Caroline, additional, Freedman, Barry I., additional, Garcia, Melissa, additional, Gillanders, Elizabeth M., additional, Goodman, Phyllis, additional, Gottesman, Omri, additional, Grant, Struan F.A., additional, Guo, Xiuqing, additional, Hakonarson, Hakon, additional, Haritunians, Talin, additional, Harris, Tamara B., additional, Harris, Curtis C., additional, Henderson, Brian E., additional, Hennis, Anselm, additional, Hernandez, Dena G., additional, Hirschhorn, Joel N., additional, McNeill, Lorna Haughton, additional, Howard, Timothy D., additional, Howard, Barbara, additional, Hsing, Ann W., additional, Hsu, Yu-Han H., additional, Hu, Jennifer J., additional, Huff, Chad D., additional, Huo, Dezheng, additional, Ingles, Sue A., additional, Irvin, Marguerite R., additional, John, Esther M., additional, Johnson, Karen C., additional, Jordan, Joanne M., additional, Kabagambe, Edmond K., additional, Kang, Sun J., additional, Kardia, Sharon L., additional, Keating, Brendan J., additional, Kittles, Rick A., additional, Klein, Eric A., additional, Kolb, Suzanne, additional, Kolonel, Laurence N., additional, Kooperberg, Charles, additional, Kuller, Lewis, additional, Kutlar, Abdullah, additional, Lange, Leslie, additional, Langefeld, Carl D., additional, Le Marchand, Loic, additional, Leonard, Hampton, additional, Lettre, Guillaume, additional, Levin, Albert M., additional, Li, Yun, additional, Li, Jin, additional, Liu, Yongmei, additional, Liu, Youfang, additional, Liu, Simin, additional, Lohman, Kurt, additional, Lotay, Vaneet, additional, Lu, Yingchang, additional, Maixner, William, additional, Manson, JoAnn E., additional, McKnight, Barbara, additional, Meng, Yan, additional, Monda, Keri L., additional, Monroe, Kris, additional, Moore, Jason H., additional, Mosley, Thomas H., additional, Mudgal, Poorva, additional, Murphy, Adam B., additional, Nadukuru, Rajiv, additional, Nalls, Mike A., additional, Nathanson, Katherine L., additional, Nayak, Uma, additional, N’Diaye, Amidou, additional, Nemesure, Barbara, additional, Neslund-Dudas, Christine, additional, Neuhouser, Marian L., additional, Nyante, Sarah, additional, Ochs-Balcom, Heather, additional, Ogundiran, Temidayo O., additional, Ogunniyi, Adesola, additional, Ojengbede, Oladosu, additional, Okut, Hayrettin, additional, Olopade, Olufunmilayo I., additional, Olshan, Andrew, additional, Padhukasahasram, Badri, additional, Palmer, Julie, additional, Palmer, Cameron D., additional, Palmer, Nicholette D., additional, Papanicolaou, George, additional, Patel, Sanjay R., additional, Pettaway, Curtis A., additional, Peyser, Patricia A., additional, Press, Michael F., additional, Rao, D.C., additional, Rasmussen-Torvik, Laura J., additional, Redline, Susan, additional, Reiner, Alex P., additional, Rhie, Suhn K., additional, Rodriguez-Gil, Jorge L., additional, Rotimi, Charles N., additional, Rotter, Jerome I., additional, Ruiz-Narvaez, Edward A., additional, Rybicki, Benjamin A., additional, Salako, Babatunde, additional, Sale, Michele M., additional, Sanderson, Maureen, additional, Schadt, Eric, additional, Schreiner, Pamela J., additional, Schurmann, Claudia, additional, Schwartz, Ann G., additional, Shriner, Daniel A., additional, Signorello, Lisa B., additional, Singleton, Andrew B., additional, Siscovick, David S., additional, Smith, Jennifer A., additional, Smith, Shad, additional, Speliotes, Elizabeth, additional, Spitz, Margaret, additional, Stanford, Janet L., additional, Stevens, Victoria L., additional, Stram, Alex, additional, Strom, Sara S., additional, Sucheston, Lara, additional, Sun, Yan V., additional, Tajuddin, Salman M., additional, Taylor, Herman, additional, Taylor, Kira, additional, Tayo, Bamidele O., additional, Thun, Michael J., additional, Tucker, Margaret A., additional, Vaidya, Dhananjay, additional, Van Den Berg, David J., additional, Vedantam, Sailaja, additional, Vitolins, Mara, additional, Wang, Zhaoming, additional, Ware, Erin B., additional, Wassertheil-Smoller, Sylvia, additional, Weir, David R., additional, Wiencke, John K., additional, Williams, Scott M., additional, Williams, L. Keoki, additional, Wilson, James G., additional, Witte, John S., additional, Wrensch, Margaret, additional, Wu, Xifeng, additional, Yao, Jie, additional, Zakai, Neil, additional, Zanetti, Krista, additional, Zemel, Babette S., additional, Zhao, Wei, additional, Zhao, Jing Hua, additional, Zheng, Wei, additional, Zhi, Degui, additional, Zhou, Jie, additional, Zhu, Xiaofeng, additional, Ziegler, Regina G., additional, Zmuda, Joe, additional, Zonderman, Alan B., additional, Psaty, Bruce M., additional, Borecki, Ingrid B., additional, Cupples, L. Adrienne, additional, Liu, Ching-Ti, additional, Haiman, Christopher A., additional, Loos, Ruth, additional, Ng, Maggie C.Y., additional, and North, Kari E., additional
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- 2021
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323. Proteogenomic and metabolomic characterization of human glioblastoma
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Wang, Liang-Bo, primary, Karpova, Alla, additional, Gritsenko, Marina A., additional, Kyle, Jennifer E., additional, Cao, Song, additional, Li, Yize, additional, Rykunov, Dmitry, additional, Colaprico, Antonio, additional, Rothstein, Joseph H., additional, Hong, Runyu, additional, Stathias, Vasileios, additional, Cornwell, MacIntosh, additional, Petralia, Francesca, additional, Wu, Yige, additional, Reva, Boris, additional, Krug, Karsten, additional, Pugliese, Pietro, additional, Kawaler, Emily, additional, Olsen, Lindsey K., additional, Liang, Wen-Wei, additional, Song, Xiaoyu, additional, Dou, Yongchao, additional, Wendl, Michael C., additional, Caravan, Wagma, additional, Liu, Wenke, additional, Cui Zhou, Daniel, additional, Ji, Jiayi, additional, Tsai, Chia-Feng, additional, Petyuk, Vladislav A., additional, Moon, Jamie, additional, Ma, Weiping, additional, Chu, Rosalie K., additional, Weitz, Karl K., additional, Moore, Ronald J., additional, Monroe, Matthew E., additional, Zhao, Rui, additional, Yang, Xiaolu, additional, Yoo, Seungyeul, additional, Krek, Azra, additional, Demopoulos, Alexis, additional, Zhu, Houxiang, additional, Wyczalkowski, Matthew A., additional, McMichael, Joshua F., additional, Henderson, Brittany L., additional, Lindgren, Caleb M., additional, Boekweg, Hannah, additional, Lu, Shuangjia, additional, Baral, Jessika, additional, Yao, Lijun, additional, Stratton, Kelly G., additional, Bramer, Lisa M., additional, Zink, Erika, additional, Couvillion, Sneha P., additional, Bloodsworth, Kent J., additional, Satpathy, Shankha, additional, Sieh, Weiva, additional, Boca, Simina M., additional, Schürer, Stephan, additional, Chen, Feng, additional, Wiznerowicz, Maciej, additional, Ketchum, Karen A., additional, Boja, Emily S., additional, Kinsinger, Christopher R., additional, Robles, Ana I., additional, Hiltke, Tara, additional, Thiagarajan, Mathangi, additional, Nesvizhskii, Alexey I., additional, Zhang, Bing, additional, Mani, D.R., additional, Ceccarelli, Michele, additional, Chen, Xi S., additional, Cottingham, Sandra L., additional, Li, Qing Kay, additional, Kim, Albert H., additional, Fenyö, David, additional, Ruggles, Kelly V., additional, Rodriguez, Henry, additional, Mesri, Mehdi, additional, Payne, Samuel H., additional, Resnick, Adam C., additional, Wang, Pei, additional, Smith, Richard D., additional, Iavarone, Antonio, additional, Chheda, Milan G., additional, Barnholtz-Sloan, Jill S., additional, Rodland, Karin D., additional, Liu, Tao, additional, Ding, Li, additional, Agarwal, Anupriya, additional, Amin, Mitual, additional, An, Eunkyung, additional, Anderson, Matthew L., additional, Andrews, David W., additional, Bauer, Thomas, additional, Birger, Chet, additional, Birrer, Michael J., additional, Blumenberg, Lili, additional, Bocik, William E., additional, Borate, Uma, additional, Borucki, Melissa, additional, Burke, Meghan C., additional, Cai, Shuang, additional, Calinawan, Anna P., additional, Carr, Steven A., additional, Cerda, Sandra, additional, Chan, Daniel W., additional, Charamut, Alyssa, additional, Chen, Lin S., additional, Chesla, David, additional, Chinnaiyan, Arul M., additional, Chowdhury, Shrabanti, additional, Cieślik, Marcin P., additional, Clark, David J., additional, Culpepper, Houston, additional, Czernicki, Tomasz, additional, D'Angelo, Fulvio, additional, Day, Jacob, additional, De Young, Stephanie, additional, Demir, Emek, additional, Dhanasekaran, Saravana Mohan, additional, Dhir, Rajiv, additional, Domagalski, Marcin J., additional, Druker, Brian, additional, Duffy, Elizabeth, additional, Dyer, Maureen, additional, Edwards, Nathan J., additional, Edwards, Robert, additional, Elburn, Kimberly, additional, Ellis, Matthew J., additional, Eschbacher, Jennifer, additional, Francis, Alicia, additional, Gabriel, Stacey, additional, Gabrovski, Nikolay, additional, Garofano, Luciano, additional, Getz, Gad, additional, Gillette, Michael A., additional, Godwin, Andrew K., additional, Golbin, Denis, additional, Hanhan, Ziad, additional, Hannick, Linda I., additional, Hariharan, Pushpa, additional, Hindenach, Barbara, additional, Hoadley, Katherine A., additional, Hostetter, Galen, additional, Huang, Chen, additional, Jaehnig, Eric, additional, Jewell, Scott D., additional, Ji, Nan, additional, Jones, Corbin D., additional, Karz, Alcida, additional, Kaspera, Wojciech, additional, Kim, Lyndon, additional, Kothadia, Ramani B., additional, Kumar-Sinha, Chandan, additional, Lei, Jonathan, additional, Leprevost, Felipe D., additional, Li, Kai, additional, Liao, Yuxing, additional, Lilly, Jena, additional, Liu, Hongwei, additional, Lubínski, Jan, additional, Madan, Rashna, additional, Maggio, William, additional, Malc, Ewa, additional, Malovannaya, Anna, additional, Mareedu, Sailaja, additional, Markey, Sanford P., additional, Marrero-Oliveras, Annette, additional, Martinez, Nina, additional, Maunganidze, Nicollette, additional, McDermott, Jason E., additional, McGarvey, Peter B., additional, McGee, John, additional, Mieczkowski, Piotr, additional, Migliozzi, Simona, additional, Modugno, Francesmary, additional, Montgomery, Rebecca, additional, Newton, Chelsea J., additional, Omenn, Gilbert S., additional, Ozbek, Umut, additional, Paklina, Oxana V., additional, Paulovich, Amanda G., additional, Perou, Amy M., additional, Pico, Alexander R., additional, Piehowski, Paul D., additional, Placantonakis, Dimitris G., additional, Polonskaya, Larisa, additional, Potapova, Olga, additional, Pruetz, Barbara, additional, Qi, Liqun, additional, Ramkissoon, Shakti, additional, Resnick, Adam, additional, Richey, Shannon, additional, Riggins, Gregory, additional, Robinson, Karna, additional, Roche, Nancy, additional, Rohrer, Daniel C., additional, Rood, Brian R., additional, Rossell, Larissa, additional, Savage, Sara R., additional, Schadt, Eric E., additional, Shi, Yan, additional, Shi, Zhiao, additional, Shutack, Yvonne, additional, Singh, Shilpi, additional, Skelly, Tara, additional, Sokoll, Lori J., additional, Stawicki, Jakub, additional, Stein, Stephen E., additional, Suh, James, additional, Szopa, Wojciech, additional, Tabor, Dave, additional, Tan, Donghui, additional, Tansil, Darlene, additional, Thangudu, Ratna R., additional, Tognon, Cristina, additional, Traer, Elie, additional, Tsang, Shirley, additional, Tyner, Jeffrey, additional, Um, Ki Sung, additional, Valley, Dana R., additional, Vasaikar, Suhas, additional, Vatanian, Negin, additional, Velvulou, Uma, additional, Vernon, Michael, additional, Wan, Weiqing, additional, Wang, Junmei, additional, Webster, Alex, additional, Wen, Bo, additional, Whiteaker, Jeffrey R., additional, Wilson, George D., additional, Zakhartsev, Yuriy, additional, Zelt, Robert, additional, Zhang, Hui, additional, Zhang, Liwei, additional, Zhang, Zhen, additional, Zhao, Grace, additional, and Zhu, Jun, additional
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- 2021
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324. Systems biology and its potential role in radiobiology
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Feinendegen, Ludwig, Hahnfeldt, Philip, Schadt, Eric E., Stumpf, Michael, and Voit, Eberhard O.
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- 2008
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325. Variations in DNA elucidate molecular networks that cause disease
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Chen, Yanqing, Zhu, Jun, Lum, Pek Yee, Yang, Xia, Pinto, Shirly, Macneil, Douglas J., Zhang, Chunsheng, Lamb, John, Edwards, Stephen, Sieberts, Solveig K., Leonardson, Amy, Castellini, Lawrence W., Wang, Susana, Champy, Marie-France, Zhang, Bin, Emilsson, Valur, Doss, Sudheer, Ghazalpour, Anatole, Horvath, Steve, Drake, Thomas A., Lusis, Aldonis J., and Schadt, Eric E.
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Molecular neurobiology -- Research -- Genetic aspects ,Quantitative trait loci -- Research -- Genetic aspects ,Genetic variation -- Research -- Genetic aspects ,Disease susceptibility -- Genetic aspects -- Research ,Multifactorial traits -- Research -- Genetic aspects ,Environmental issues ,Science and technology ,Zoology and wildlife conservation ,Research ,Genetic aspects - Abstract
Identifying variations in DNA that increase susceptibility to disease is one of the primary aims of genetic studies using a forward genetics approach. However, identification of disease-susceptibility genes by means [...]
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- 2008
326. Genetics of gene expression and its effect on disease
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Emilsson, Valur, Thorleifson, Gudmar, Zhang, Bin, Leonardson, Amy S., Zink, Florian, Zhu, Jun, Carlson, Sonia, Helgason, Agnar, Walters, G. Bragi, Gunnarsdottir, Steinunn, Mouy, Magali, Steinthorsdottir, Valgerdur, Eiriksdottir, Gudrun H., Bjornsdottir, Gyda, Reynisdottir, Inga, Gudbjartsson, Daniel, Helgadottir, Anna, Jonasdottir, Aslaug, Jonasdottir, Adalbjorg, Styrkarsdottir, Unnur, Gretarsdottir, Solveig, Magnusson, Kristinn P., Stefansson, Hreinn, Fossdal, Ragnheidur, Kristjansson, Kristleifur, Gislason, Hjortur G., Stefansson, Tryggvi, Leifsson, Bjorn G., Thorsteinsdottir, Unnur, Lamb, John R., Gulcher, Jeffrey R., Reitman, Marc L., Kong, Augustine, Schadt, Eric E., and Stefansson, Kari
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Environmental issues ,Science and technology ,Zoology and wildlife conservation - Abstract
Common human diseases result from the interplay of many genes and environmental factors. Therefore, a more integrative biology approach is needed to unravel the complexity and causes of such diseases. [...]
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- 2008
327. Moving toward a system genetics view of disease
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Sieberts, Solveig K. and Schadt, Eric E.
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- 2007
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328. Additional file 1 of Comparison of brain connectomes by MRI and genomics and its implication in Alzheimer’s disease
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Woo, Young, Roussos, Panos, Haroutunian, Vahram, Katsel, Pavel, Gandy, Samuel, Schadt, Eric, and Zhu, Jun
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Additional file 1: Supplementary figures.
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- 2020
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329. Additional file 1 of A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles
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Wang, Li, Sebra, Robert, Sfakianos, John, Kimaada Allette, Wenhui Wang, Seungyeul Yoo, Bhardwaj, Nina, Schadt, Eric, Yao, Xin, Galsky, Matthew, and Zhu, Jun
- Abstract
Additional file 1 : Figure S1. A schematic illustration of DeClust algorithm. Figure S2 Flowchart of the study. Figure S3. Simulation results when gene expression was simulated under negative binomial distribution. Details can be found in legend of Fig. 1. Figure S4. Simulation results when gene expression was simulated under negative binomial distribution. Details can be found in legend of Fig. 1. Figure S5. Comparing cell fraction estimations by different gene expression deconvolution methods with the ones based on MethyCIBERSORT (treated as “ground truth”) for immune compartment (AB) and stromal compartment (CD) using Spearman’s correlation coefficients (AC) or Median Absolute Deviation (BD). The p-values above are the difference between DeClust and other methods according the two-sided paired t-test. Figure S6. Kaplan-Meier curves of patients with high/low stromal compartment fractions as defined by DeClust (left) and ESTIMATE (right) in TCGA dataset (top) and non-TCGA dataset (bottom) for KIRC (A) and BLCA (B). Figure S7. Pathway analysis of stromal proles across 13 TCGA datasets using Canonical pathways (left) or hallmark_cancer pathways (right) from MsigDB. The color indicates the significance of the up/down-regulation of that pathway in that stromal prole as compared to other stromal proles (−log10 (p-value of Wilcoxon rank-sum test), see Method). Red color represents up-regulation and blue color represents down-regulation. Figure S8. Number of genes with subtype-specific methylation before (A) and after (B) methylation correlated with immune or stromal cell frequencies were removed. Figure S9. Overlap between CRIS subtypes and subtypes defined by different methods. Figure S10. Plots of the correlation between tumor purity (Consensus Purity Estimation*) and subtypes defined by different methods, grouped by methods (A) or by cancer types (B). Figure S11. Kaplan-Meier curves of DeClust subtypes (left) and TCGA subtypes (right) for TCGA dataset (top) and non-TCGA dataset (bottom) for KIRP (A), KIRC (B) and LUAD (C). Figure S12. (A) Spearman’s correlation coefficient between immune and stromal proles estimated by DeClust (y-axis) and reference proles used by EPIC (x-axis). (B) Exemplary scatter plot of reference expression prole versus immune and stromal prole estimated by Declust using TCGA BLCA dataset.(C) Correlation between different reference proles(x-axis) and bulk tissue expression proles (gray), immune proles (red) and stromal proles (blue) estimated by DeClust using TCGA BLCA dataset. (D) Cell type-specific markers identified in EPIC reference proles and their expression in immune and stromal proles estimated by DeClust. Figure S13. t-SNE plot of scRNAseq data for pRCC samples. Cell-type specific markers used to annotate the cell clusters were shown below. Figure S14. Correlation between mean expression prole of each epithelial cell cluster and subtype-specific cancer proles estimated by DeClust or by TCGA for ccRCC scRNAseq data (A) and pRCC scRNAseq data(B). Error bars indicated 95% confidence intervals. Figure S15. Comparison of inferred cancer proles and scRNAseq data. Figure S16. Violin plot of estimated immune (left) and stromal (fraction) fraction in each subtype of BLCA. Figure S17. Proportions of different immune subtypes within each subtypes defined by DeClust. Figure S18. Comparison of immune subtypes and subtypes defined by DeClust in association with overall survival. Plots are grouped by methods (A) and by cancer types(B). Figure S19. (A) The association of overall survival and immune subtypes within each cancer cell-intrinsic subtype defined by Declust.(B) Kaplan-Meier curves of immune subtypes within Atypical_1 subtype of HNSC. Figure S20. (A) The association of overall survival and immune/stromal cell fraction within each subtype defined by Declust. The color in the heatmap represents the –log10(p-value) of the association (log rank test). Red means the higher cell fraction corresponds to worse survival, and blue means the opposite. Only cancer subtypes and cell fractions with at least one significant association (p
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- 2020
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330. Association of Body Mass Index with DNA Methylation and Gene Expression in Blood Cells and Relations to Cardiometabolic Disease: A Mendelian Randomization Approach
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Mendelson, Michael M., Marioni, Riccardo E., Joehanes, Roby, Liu, Chunyu, Hedman, Åsa K., Aslibekyan, Stella, Demerath, Ellen W., Guan, Weihua, Zhi, Degui, Yao, Chen, Huan, Tianxiao, Willinger, Christine, Chen, Brian, Courchesne, Paul, Multhaup, Michael, Irvin, Marguerite R., Cohain, Ariella, Schadt, Eric E., Grove, Megan L., Bressler, Jan, North, Kari, Sundström, Johan, Gustafsson, Stefan, Shah, Sonia, McRae, Allan F., Harris, Sarah E., Gibson, Jude, Redmond, Paul, Corley, Janie, Murphy, Lee, Starr, John M., Kleinbrink, Erica, Lipovich, Leonard, Visscher, Peter M., Wray, Naomi R., Krauss, Ronald M., Fallin, Daniele, Feinberg, Andrew, Absher, Devin M., Fornage, Myriam, Pankow, James S., Lind, Lars, Fox, Caroline, Ingelsson, Erik, Arnett, Donna K., Boerwinkle, Eric, Liang, Liming, Levy, Daniel, and Deary, Ian J.
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Metabolic diseases -- Diagnosis -- Genetic aspects ,Methylation -- Health aspects ,Body mass index -- Health aspects ,Cardiovascular diseases -- Diagnosis -- Genetic aspects ,Biological sciences - Abstract
Background The link between DNA methylation, obesity, and adiposity-related diseases in the general population remains uncertain. Methods and Findings We conducted an association study of body mass index (BMI) and differential methylation for over 400,000 CpGs assayed by microarray in whole-blood-derived DNA from 3,743 participants in the Framingham Heart Study and the Lothian Birth Cohorts, with independent replication in three external cohorts of 4,055 participants. We examined variations in whole blood gene expression and conducted Mendelian randomization analyses to investigate the functional and clinical relevance of the findings. We identified novel and previously reported BMI-related differential methylation at 83 CpGs that replicated across cohorts; BMI-related differential methylation was associated with concurrent changes in the expression of genes in lipid metabolism pathways. Genetic instrumental variable analysis of alterations in methylation at one of the 83 replicated CpGs, cg11024682 (intronic to sterol regulatory element binding transcription factor 1 [SREBF1]), demonstrated links to BMI, adiposity-related traits, and coronary artery disease. Independent genetic instruments for expression of SREBF1 supported the findings linking methylation to adiposity and cardiometabolic disease. Methylation at a substantial proportion (16 of 83) of the identified loci was found to be secondary to differences in BMI. However, the cross-sectional nature of the data limits definitive causal determination. Conclusions We present robust associations of BMI with differential DNA methylation at numerous loci in blood cells. BMI-related DNA methylation and gene expression provide mechanistic insights into the relationship between DNA methylation, obesity, and adiposity-related diseases., Author(s): Michael M. Mendelson 1,2,3,4, Riccardo E. Marioni 5,6,7, Roby Joehanes 1,4,8, Chunyu Liu 1,4,9,Åsa K. Hedman 10, Stella Aslibekyan 11, Ellen W. Demerath 12, Weihua Guan 13, Degui Zhi [...]
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- 2017
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331. A genome-wide set of congenic mouse strains derived from CAST/Ei on a C57BL/6 background
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Davis, Richard C., Jin, Angela, Rosales, Melenie, Yu, Suzanne, Xia, Xiaoyu, Ranola, Kathleen, Schadt, Eric E., and Lusis, Aldons J.
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- 2007
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332. Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in mice
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Drake, Thomas A., Schadt, Eric E., and Lusis, Aldons J.
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- 2006
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333. Pharmacogenetics of metformin response: a step in the path toward personalized medicine
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Reitman, Marc L. and Schadt, Eric E.
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Diabetes -- Research ,Diabetes -- Care and treatment ,Diabetes -- Analysis ,Pharmacogenetics -- Research ,Pharmacogenetics -- Analysis - Abstract
Type 2 diabetes mellitus affects 9.6% of the adults in the United States and more than 200 million people worldwide. Diabetes can be a devastating disease, but it can now [...]
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- 2007
334. Integrative Approach to Sporadic Alzheimer’s Disease: Deficiency of driver Tyrobp/Dap12 in cerebral Aβ amyloidosis mouse normalizes clinical phenotype and complement subnetwork molecular pathology without reducing Aβ burden
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Haure-Mirande, Jean-Vianney, Wang, Minghui, Audrain, Mickael, Fanutza, Tomas, Kim, Soong Ho, Heja, Szilvia, Readhead, Ben, Dudley, Joel T., Blitzer, Robert D., Schadt, Eric E., Zhang, Bin, Gandy, Sam, and Ehrlich, Michelle E.
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Article - Abstract
Integrative gene network approaches enable new avenues of exploration that implicate causal genes in sporadic late onset Alzheimer’s disease (LOAD) pathogenesis, thereby offering novel insights for drug discovery programs. We previously constructed a probabilistic causal network model of sporadic LOAD and identified TYROBP/DAP12, a microglial transmembrane signaling polypeptide and direct adapter of TREM2, as the most robust key driver gene in the network. Here we show that absence of TYROBP/DAP12 in a mouse model of AD-type cerebral Aβ amyloidosis (APPKM670/671NL/PSEN1Δexon9) recapitulates the expected network characteristics by normalizing the transcriptome of APP/PSEN1 mice and repressing the induction of genes involved in the switch from homeostatic microglia to disease-associated microglia (DAM), including Trem2, complement (C1qa, C1qb, C1qc, Itgax), Clec7a and Cst7. Importantly, we show that constitutive absence of TYROBP/DAP12 in the amyloidosis mouse model prevented appearance of the electrophysiological and learning behavior alterations associated with the phenotype of APPKM670/671NL/PSEN1Δexon9 mice. Our results suggest that TYROBP/DAP12 could represent a novel therapeutic target to slow, arrest, or prevent the development of sporadic LOAD. These data establish that the network pathology observed in postmortem human LOAD brain can be faithfully recapitulated in the brain of a genetically manipulated mouse. These data also validate our multiscale gene networks by demonstrating how the networks intersect with the standard neuropathological features of LOAD.
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- 2018
335. Genomic analyses implicate noncoding de novo variants in congenital heart disease.
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Richter, Felix, Richter, Felix, Morton, Sarah U, Kim, Seong Won, Kitaygorodsky, Alexander, Wasson, Lauren K, Chen, Kathleen M, Zhou, Jian, Qi, Hongjian, Patel, Nihir, DePalma, Steven R, Parfenov, Michael, Homsy, Jason, Gorham, Joshua M, Manheimer, Kathryn B, Velinder, Matthew, Farrell, Andrew, Marth, Gabor, Schadt, Eric E, Kaltman, Jonathan R, Newburger, Jane W, Giardini, Alessandro, Goldmuntz, Elizabeth, Brueckner, Martina, Kim, Richard, Porter, George A, Bernstein, Daniel, Chung, Wendy K, Srivastava, Deepak, Tristani-Firouzi, Martin, Troyanskaya, Olga G, Dickel, Diane E, Shen, Yufeng, Seidman, Jonathan G, Seidman, Christine E, Gelb, Bruce D, Richter, Felix, Richter, Felix, Morton, Sarah U, Kim, Seong Won, Kitaygorodsky, Alexander, Wasson, Lauren K, Chen, Kathleen M, Zhou, Jian, Qi, Hongjian, Patel, Nihir, DePalma, Steven R, Parfenov, Michael, Homsy, Jason, Gorham, Joshua M, Manheimer, Kathryn B, Velinder, Matthew, Farrell, Andrew, Marth, Gabor, Schadt, Eric E, Kaltman, Jonathan R, Newburger, Jane W, Giardini, Alessandro, Goldmuntz, Elizabeth, Brueckner, Martina, Kim, Richard, Porter, George A, Bernstein, Daniel, Chung, Wendy K, Srivastava, Deepak, Tristani-Firouzi, Martin, Troyanskaya, Olga G, Dickel, Diane E, Shen, Yufeng, Seidman, Jonathan G, Seidman, Christine E, and Gelb, Bruce D
- Abstract
A genetic etiology is identified for one-third of patients with congenital heart disease (CHD), with 8% of cases attributable to coding de novo variants (DNVs). To assess the contribution of noncoding DNVs to CHD, we compared genome sequences from 749 CHD probands and their parents with those from 1,611 unaffected trios. Neural network prediction of noncoding DNV transcriptional impact identified a burden of DNVs in individuals with CHD (n = 2,238 DNVs) compared to controls (n = 4,177; P = 8.7 × 10-4). Independent analyses of enhancers showed an excess of DNVs in associated genes (27 genes versus 3.7 expected, P = 1 × 10-5). We observed significant overlap between these transcription-based approaches (odds ratio (OR) = 2.5, 95% confidence interval (CI) 1.1-5.0, P = 5.4 × 10-3). CHD DNVs altered transcription levels in 5 of 31 enhancers assayed. Finally, we observed a DNV burden in RNA-binding-protein regulatory sites (OR = 1.13, 95% CI 1.1-1.2, P = 8.8 × 10-5). Our findings demonstrate an enrichment of potentially disruptive regulatory noncoding DNVs in a fraction of CHD at least as high as that observed for damaging coding DNVs.
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- 2020
336. Very Early Onset Inflammatory Bowel Disease: A Clinical Approach With a Focus on the Role of Genetics and Underlying Immune Deficiencies
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MDL onderzoek 1, Onderzoek Precision medicine, Child Health, Zorg en O&O, Infection & Immunity, Regenerative Medicine and Stem Cells, CMM Sectie Molecular Cancer Research, Cancer, Hubrecht Institute with UMC, Ouahed, Jodie, Spencer, Elizabeth, Kotlarz, Daniel, Shouval, Dror S, Kowalik, Matthew, Peng, Kaiyue, Field, Michael, Grushkin-Lerner, Leslie, Pai, Sung-Yun, Bousvaros, Athos, Cho, Judy, Argmann, Carmen, Schadt, Eric, Mcgovern, Dermot P B, Mokry, Michal, Nieuwenhuis, Edward, Clevers, Hans, Powrie, Fiona, Uhlig, Holm, Klein, Christoph, Muise, Aleixo, Dubinsky, Marla, Snapper, Scott B, MDL onderzoek 1, Onderzoek Precision medicine, Child Health, Zorg en O&O, Infection & Immunity, Regenerative Medicine and Stem Cells, CMM Sectie Molecular Cancer Research, Cancer, Hubrecht Institute with UMC, Ouahed, Jodie, Spencer, Elizabeth, Kotlarz, Daniel, Shouval, Dror S, Kowalik, Matthew, Peng, Kaiyue, Field, Michael, Grushkin-Lerner, Leslie, Pai, Sung-Yun, Bousvaros, Athos, Cho, Judy, Argmann, Carmen, Schadt, Eric, Mcgovern, Dermot P B, Mokry, Michal, Nieuwenhuis, Edward, Clevers, Hans, Powrie, Fiona, Uhlig, Holm, Klein, Christoph, Muise, Aleixo, Dubinsky, Marla, and Snapper, Scott B
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- 2020
337. Network Methods for Elucidating the Complexity of Common Human Diseases
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Schadt, Eric E., additional
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- 2013
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338. Causal Inference and the Construction of Predictive Network Models in Biology
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Schadt, Eric E., primary
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- 2013
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339. List of Contributors
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Albert, Réka, primary, Andrews, Brenda, additional, Bader, Gary D., additional, Ballance, Heather, additional, Barabási, Albert-László, additional, Barzel, Baruch, additional, Baryshnikova, Anastasia, additional, Bastiaens, Philippe I.H., additional, Benfey, Philip N., additional, Boone, Charles, additional, Brogaard, Kristin R., additional, Bulyk, Martha L., additional, Calderwood, Michael A., additional, Carvunis, Anne-Ruxandra, additional, Castrillo, Juan I., additional, Costanzo, Michael, additional, Cox, Jürgen, additional, Cusick, Michael E., additional, Davidson, Eric H., additional, Davis, Mark M., additional, Dekker, Job, additional, Flores, Mauricio A., additional, Fraser, Andrew, additional, Giaever, Guri, additional, Gonçalves, Bruno, additional, Grecco, Hernán E., additional, Guigó, Roderic, additional, Hefzi, Hooman, additional, Hein, Marco Y., additional, Hogenesch, John B., additional, Hood, Leroy, additional, Iyengar, Ravi, additional, Kitano, Hiroaki, additional, Kulkarni, Meghana M., additional, Lee, Anna Y., additional, Lehner, Ben, additional, Lemischka, Ihor, additional, Lewis, Nathan E., additional, Ma'ayan, Avi, additional, Mann, Matthias, additional, Mariottini, Chiara, additional, Myers, Chad L., additional, Nislow, Corey, additional, Novák, Béla, additional, Oliver, Stephen G., additional, Palsson, Bernhard O., additional, Papatsenko, Dmitri, additional, Peter, Isabelle S., additional, Perra, Nicola, additional, Perrimon, Norbert, additional, Pir, Pinar, additional, Price, Nathan D., additional, Roth, Frederick P., additional, Savageau, Michael A., additional, Schadt, Eric E., additional, Scheres, Ben, additional, Schmick, Malte, additional, Sharma, Amitabh, additional, Sharma, Kirti, additional, Shen-Orr, Shai S., additional, Sun, Zhongyao, additional, Superti-Furga, Giulio, additional, Tyson, John J., additional, VanderSluis, Benjamin, additional, van Steensel, Bas, additional, Venkataraman, Anand, additional, Vespignani, Alessandro, additional, Vidal, Marc, additional, Wagner, Andreas, additional, Walhout, A.J. Marian, additional, and Xu, Huilei, additional
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- 2013
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340. Improving Pre-eclampsia Risk Prediction by Modeling Individualized Pregnancy Trajectories Derived from Routinely Collected Electronic Medical Record Data
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Li, Shilong, primary, Wang, Zichen, additional, Vieira, Luciana A., additional, Zheutlin, Amanda B., additional, Ru, Boshu, additional, Schadt, Emilio, additional, Wang, Pei, additional, Copperman, Alan B., additional, Stone, Joanne, additional, Gross, Susan J., additional, Schadt, Eric E., additional, and Li, Li, additional
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- 2021
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341. Rare Germline Pathogenic Variants Identified by Multigene Panel Testing and the Risk of Aggressive Prostate Cancer
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Nguyen-Dumont, Tú, primary, Dowty, James G., additional, MacInnis, Robert J., additional, Steen, Jason A., additional, Riaz, Moeen, additional, Dugué, Pierre-Antoine, additional, Renault, Anne-Laure, additional, Hammet, Fleur, additional, Mahmoodi, Maryam, additional, Theys, Derrick, additional, Tsimiklis, Helen, additional, Severi, Gianluca, additional, Bolton, Damien, additional, Lacaze, Paul, additional, Sebra, Robert, additional, Schadt, Eric, additional, McNeil, John, additional, Giles, Graham G., additional, Milne, Roger L., additional, and Southey, Melissa C., additional
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- 2021
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342. Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19
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Kiebish, Michael A., primary, Shah, Punit, additional, Sarangarajan, Rangaprasad, additional, Vishnudas, Vivek K., additional, Gesta, Stephane, additional, Tekumalla, Poornima K., additional, Bountra, Chas, additional, Granger, Elder, additional, Schadt, Eric, additional, Rodrigues, Leonardo O., additional, and Narain, Niven R., additional
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- 2021
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343. A Drosophila platform identifies a novel, personalized therapy for a patient with adenoid cystic carcinoma
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Bangi, Erdem, primary, Smibert, Peter, additional, Uzilov, Andrew V., additional, Teague, Alexander G., additional, Gopinath, Sindhura, additional, Antipin, Yevgeniy, additional, Chen, Rong, additional, Hecht, Chana, additional, Gruszczynski, Nelson, additional, Yon, Wesley J., additional, Malyshev, Denis, additional, Laspina, Denise, additional, Selkridge, Isaiah, additional, Wang, Huan, additional, Gomez, Jorge, additional, Mascarenhas, John, additional, Moe, Aye S., additional, Lau, Chun Yee, additional, Taik, Patricia, additional, Pandya, Chetanya, additional, Sung, Max, additional, Kim, Sara, additional, Yum, Kendra, additional, Sebra, Robert, additional, Donovan, Michael, additional, Misiukiewicz, Krzysztof, additional, Ang, Celina, additional, Schadt, Eric E., additional, Posner, Marshall R., additional, and Cagan, Ross L., additional
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- 2021
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344. Network study of nasal transcriptome profiles reveals master regulator genes of asthma
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Do, Anh N., primary, Chun, Yoojin, additional, Grishina, Galina, additional, Grishin, Alexander, additional, Rogers, Angela J., additional, Raby, Benjamin A., additional, Weiss, Scott T., additional, Vicencio, Alfin, additional, Schadt, Eric E., additional, and Bunyavanich, Supinda, additional
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- 2021
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345. Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma
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Huang, Chen, primary, Chen, Lijun, additional, Savage, Sara R., additional, Eguez, Rodrigo Vargas, additional, Dou, Yongchao, additional, Li, Yize, additional, da Veiga Leprevost, Felipe, additional, Jaehnig, Eric J., additional, Lei, Jonathan T., additional, Wen, Bo, additional, Schnaubelt, Michael, additional, Krug, Karsten, additional, Song, Xiaoyu, additional, Cieślik, Marcin, additional, Chang, Hui-Yin, additional, Wyczalkowski, Matthew A., additional, Li, Kai, additional, Colaprico, Antonio, additional, Li, Qing Kay, additional, Clark, David J., additional, Hu, Yingwei, additional, Cao, Liwei, additional, Pan, Jianbo, additional, Wang, Yuefan, additional, Cho, Kyung-Cho, additional, Shi, Zhiao, additional, Liao, Yuxing, additional, Jiang, Wen, additional, Anurag, Meenakshi, additional, Ji, Jiayi, additional, Yoo, Seungyeul, additional, Zhou, Daniel Cui, additional, Liang, Wen-Wei, additional, Wendl, Michael, additional, Vats, Pankaj, additional, Carr, Steven A., additional, Mani, D.R., additional, Zhang, Zhen, additional, Qian, Jiang, additional, Chen, Xi S., additional, Pico, Alexander R., additional, Wang, Pei, additional, Chinnaiyan, Arul M., additional, Ketchum, Karen A., additional, Kinsinger, Christopher R., additional, Robles, Ana I., additional, An, Eunkyung, additional, Hiltke, Tara, additional, Mesri, Mehdi, additional, Thiagarajan, Mathangi, additional, Weaver, Alissa M., additional, Sikora, Andrew G., additional, Lubiński, Jan, additional, Wierzbicka, Małgorzata, additional, Wiznerowicz, Maciej, additional, Satpathy, Shankha, additional, Gillette, Michael A., additional, Miles, George, additional, Ellis, Matthew J., additional, Omenn, Gilbert S., additional, Rodriguez, Henry, additional, Boja, Emily S., additional, Dhanasekaran, Saravana M., additional, Ding, Li, additional, Nesvizhskii, Alexey I., additional, El-Naggar, Adel K., additional, Chan, Daniel W., additional, Zhang, Hui, additional, Zhang, Bing, additional, Agarwal, Anupriya, additional, Anderson, Matthew L., additional, Avanessian, Shayan C., additional, Avtonomov, Dmitry, additional, Bathe, Oliver F., additional, Birger, Chet, additional, Birrer, Michael J., additional, Blumenberg, Lili, additional, Bocik, William E., additional, Borate, Uma, additional, Borucki, Melissa, additional, Burke, Meghan C., additional, Cai, Shuang, additional, Calinawan, Anna Pamela, additional, Cerda, Sandra, additional, Charamut, Alyssa, additional, Chen, Lin S., additional, Chowdhury, Shrabanti, additional, Clauser, Karl R., additional, Culpepper, Houston, additional, Czernicki, Tomasz, additional, D'Angelo, Fulvio, additional, Day, Jacob, additional, De Young, Stephanie, additional, Demir, Emek, additional, Ding, Fei, additional, Domagalski, Marcin J., additional, Dort, Joseph C., additional, Druker, Brian, additional, Duffy, Elizabeth, additional, Dyer, Maureen, additional, Edwards, Nathan J., additional, Elburn, Kimberly, additional, Ermakova, Tatiana S., additional, Fenyo, David, additional, Ferrarotto, Renata, additional, Francis, Alicia, additional, Gabriel, Stacey, additional, Garofano, Luciano, additional, Geffen, Yifat, additional, Getz, Gad, additional, Goldthwaite, Charles A., additional, Hannick, Linda I., additional, Hariharan, Pushpa, additional, Hayes, David N., additional, Heiman, David, additional, Hindenach, Barbara, additional, Hoadley, Katherine A., additional, Hostetter, Galen, additional, Hyrcza, Martin, additional, Jewell, Scott D., additional, Jones, Corbin D., additional, Kane, M. Harry, additional, Karz, Alicia, additional, Kothadia, Ramani B., additional, Krek, Azra, additional, Kumar-Sinha, Chandan, additional, Liu, Tao, additional, Liu, Hongwei, additional, Ma, Weiping, additional, Malc, Ewa, additional, Malovannaya, Anna, additional, Mareedu, Sailaja, additional, Markey, Sanford P., additional, Marrero-Oliveras, Annette, additional, Maunganidze, Nicollette, additional, McDermott, Jason E., additional, McGarvey, Peter B., additional, McGee, John, additional, Mieczkowski, Piotr, additional, Migliozzi, Simona, additional, Montgomery, Rebecca, additional, Newton, Chelsea J., additional, Ozbek, Umut, additional, Paulovich, Amanda G., additional, Payne, Samuel H., additional, Pazardzhikliev, Dimitar Dimitrov, additional, Perou, Amy M., additional, Petralia, Francesca, additional, Petrenko, Lyudmila, additional, Piehowski, Paul D., additional, Placantonakis, Dmitris, additional, Polonskaya, Larisa, additional, Ponomareva, Elena V., additional, Potapova, Olga, additional, Qi, Liqun, additional, Qu, Ning, additional, Ramkissoon, Shakti, additional, Reva, Boris, additional, Richey, Shannon, additional, Robinson, Karna, additional, Roche, Nancy, additional, Rodland, Karin, additional, Rohrer, Daniel C., additional, Rykunov, Dmitry, additional, Schadt, Eric E., additional, Shi, Yan, additional, Shutack, Yvonne, additional, Singh, Shilpi, additional, Skelly, Tara, additional, Smith, Richard, additional, Sokoll, Lori J., additional, Stawicki, Jakub, additional, Stein, Stephen E., additional, Suh, James, additional, Szopa, Wojciech, additional, Tabor, Dave, additional, Tan, Donghui, additional, Tansil, Darlene, additional, Teo, Guo Ci, additional, Thangudu, Ratna R., additional, Tognon, Cristina, additional, Traer, Elie, additional, Tsang, Shirley, additional, Tyner, Jeffrey, additional, Um, Ki Sung, additional, Valley, Dana R., additional, Vasilev, Lyubomir Valkov, additional, Vatanian, Negin, additional, Velvulou, Uma, additional, Vernon, Michael, additional, Westbrook, Thomas F., additional, Whiteaker, Jeffrey R., additional, Wu, Yige, additional, Xu, Midie, additional, Yao, Lijun, additional, Yi, Xinpei, additional, Yu, Fengchao, additional, Zaalishvili, Kakhaber, additional, Zakhartsev, Yuriy, additional, Zelt, Robert, additional, Zhao, Grace, additional, and Zhu, Jun, additional
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- 2021
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346. Protective lipid-lowering genetic variants in healthy older individuals without coronary heart disease
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Lacaze, Paul, primary, Riaz, Moeen, additional, Sebra, Robert, additional, Hooper, Amanda J, additional, Pang, Jing, additional, Tiller, Jane, additional, Polekhina, Galina, additional, Tonkin, Andrew M, additional, Reid, Christopher M, additional, Zoungas, Sophia, additional, Murray, Anne M, additional, Nicholls, Stephen J, additional, Watts, Gerald F, additional, Schadt, Eric, additional, and McNeil, John J, additional
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- 2021
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347. Polygenic risk score for alcohol drinking behavior improves prediction of inflammatory bowel disease risk
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Di Narzo, Antonio F, primary, Hart, Amy, additional, Kosoy, Roman, additional, Peters, Lauren, additional, Stojmirovic, Aleksandar, additional, Cheng, Haoxiang, additional, Zhang, Zhongyang, additional, Shan, Mingxu, additional, Cho, Judy, additional, Kasarskis, Andrew, additional, Argmann, Carmen, additional, Peter, Inga, additional, Schadt, Eric E, additional, and Hao, Ke, additional
- Published
- 2021
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348. Abstract PS7-04: Population-based estimates of breast cancer risk for germline pathogenic variants identified by gene-panel testing: An Australian perspective
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Nguyen-Dumont, Tu, primary, Dowty, James, additional, Tucker, Katherine, additional, Kirk, Judy, additional, James, Paul, additional, Trainer, Alison, additional, Winship, Ingrid, additional, Pachter, Nicholas, additional, Poplawski, Nicola, additional, Grist, Scott, additional, Park, Daniel J, additional, Renault, Anne-Laure, additional, Hammet, Fleur, additional, Mahmoodi, Maryam, additional, Tsimiklis, Helen, additional, Steen, Jason A, additional, Theys, Derrick, additional, Rewse, Amanda, additional, Willis, Amanda, additional, Morrow, April, additional, Speechly, Catherine, additional, Harris, Rebecca, additional, Riaz, Moeen, additional, Sebra, Robert, additional, Schadt, Eric, additional, Lacaze, Paul, additional, McNeil, John, additional, Hopper, John L, additional, and Southey, Melissa C, additional
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- 2021
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349. A Molecular network approach reveals shared cellular and molecular signatures between chronic fatigue syndrome and other fatiguing illnesses
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Comella, Phillip H., primary, Gonzalez-Kozlova, Edgar, additional, Kosoy, Roman, additional, Charney, Alexander W., additional, Peradejordi, Irene Font, additional, Chandrasekar, Shreya, additional, Tyler, Scott R., additional, Wang, Wenhui, additional, Losic, Bojan, additional, Zhu, Jun, additional, Hoffman, Gabriel E., additional, Kim-Schulze, Seunghee, additional, Qi, Jingjing, additional, Patel, Manishkumar, additional, Kasarskis, Andrew, additional, Suarez-Farinas, Mayte, additional, Gümüş, Zeynep H., additional, Argmann, Carmen, additional, Merad, Miriam, additional, Becker, Christian, additional, Beckmann, Noam D., additional, and Schadt, Eric E., additional
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- 2021
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350. An integrative multiomic network model links lipid metabolism to glucose regulation in coronary artery disease
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Cohain, Ariella T., primary, Barrington, William T., additional, Jordan, Daniel M., additional, Beckmann, Noam D., additional, Argmann, Carmen A., additional, Houten, Sander M., additional, Charney, Alexander W., additional, Ermel, Raili, additional, Sukhavasi, Katyayani, additional, Franzen, Oscar, additional, Koplev, Simon, additional, Whatling, Carl, additional, Belbin, Gillian M., additional, Yang, Jialiang, additional, Hao, Ke, additional, Kenny, Eimear E., additional, Tu, Zhidong, additional, Zhu, Jun, additional, Gan, Li-Ming, additional, Do, Ron, additional, Giannarelli, Chiara, additional, Kovacic, Jason C., additional, Ruusalepp, Arno, additional, Lusis, Aldons J., additional, Bjorkegren, Johan L. M., additional, and Schadt, Eric E., additional
- Published
- 2021
- Full Text
- View/download PDF
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