Now showing items 4719-4738 of 6362

    • Prediagnostic Plasma Vitamin D Metabolites and Mortality among Patients with Prostate Cancer 

      Fang, Fang; Kasperzyk, Julie L.; Shui, Irene; Hendrickson, Whitney; Hollis, Bruce W.; Fall, Katja; Ma, Jing; Gaziano, J. Michael; Stampfer, Meir; Mucci, Lorelei A.; Giovannucci, Edward; Su, Zheng (Public Library of Science, 2011)
      Background: Laboratory evidence suggests that vitamin D might influence prostate cancer prognosis.Methodology/Principal Findings: We examined the associations between prediagnostic plasma levels of 25(OH) vitamin D [25(OH)D] ...
    • Prediagnostic Use of Hormone Therapy and Mortality After Breast Cancer 

      Newcomb, Polly; Egan, Kathleen; Trentham-Dietz, Amy; Titus-Ernstoff, Linda; Baron, John; Hampton, John; Stampfer, Meir; Willett, Walter C.::94559ea206eef8a8844fc5b80654fa5b::600 (American Association for Cancer Research, 2008)
      Background: A few studies have observed reduced breast cancer mortality in women who used hormone therapy before diagnosis. Due to the high prevalence of past and current hormone use, it is important to investigate whether ...
    • Predicted Plasma 25-Hydroxyvitamin D and Risk of Renal Cell Cancer 

      Joh, Hee‑Kyung; Giovannucci, Edward L.; Bertrand, Kimberly A.; Lim, Soo; Cho, Eunyoung (Oxford University Press, 2013)
      Background: Although the kidney is a primary organ for vitamin D metabolism, the association between vitamin D and renal cell cancer (RCC) remains unclear. Methods: We prospectively evaluated the association between predicted ...
    • Predicted vitamin D status and incidence of tooth loss and periodontitis 

      Jimenez, Monik; Giovannucci, Edward; Kaye, Elizabeth Krall; Joshipura, Kaumudi; Dietrich, Thomas (Cambridge University Press, 2014)
      Objective: Vitamin D insufficiency is highly prevalent, with particular subgroups at greater risk (e. g. the elderly and those with darker skin). Vitamin D insufficiency may partly explain US racial/ethnic disparities in ...
    • Predicting chromatin organization using histone marks 

      Huang, Jialiang; Marco, Eugenio; Pinello, Luca; Yuan, Guo-Cheng (BioMed Central, 2015)
      Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have ...
    • Predicting Chronic Fine and Coarse Particulate Exposures Using Spatiotemporal Models for the Northeastern and Midwestern United States 

      Yanosky, Jeff D.; Suh MacIntosh, Helen H.; Paciorek, Christopher Joseph (National Institute of Environmental Health Sciences, 2008)
      Background: Chronic epidemiologic studies of particulate matter (PM) are limited by the lack of monitoring data, relying instead on citywide ambient concentrations to estimate exposures. This method ignores within-city ...
    • Predicting DNA methylation level across human tissues 

      Ma, Baoshan; Wilker, Elissa H.; Willis-Owen, Saffron A. G.; Byun, Hyang-Min; Wong, Kenny C. C.; Motta, Valeria; Baccarelli, Andrea A.; Schwartz, Joel; Cookson, William O. C. M.; Khabbaz, Kamal; Mittleman, Murray A.; Moffatt, Miriam F.; Liang, Liming (Oxford University Press, 2014)
      Differences in methylation across tissues are critical to cell differentiation and are key to understanding the role of epigenetics in complex diseases. In this investigation, we found that locus-specific methylation ...
    • Predicting Subnational Ebola Virus Disease Epidemic Dynamics from Sociodemographic Indicators 

      Valeri, Linda; Patterson-Lomba, Oscar; Gurmu, Yared; Ablorh, Akweley Dzomoh; Bobb, Jennifer; Townes, Frederick William; Harling, Guy Duncan (Public Library of Science (PLoS), 2016)
      Background The recent Ebola virus disease (EVD) outbreak in West Africa has spread wider than any previous human EVD epidemic. While individual-level risk factors that contribute to the spread of EVD have been studied, ...
    • Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers 

      Kessler, Ronald; Warner, Christopher H.; Ivany, Christopher; Petukhova, Maria; Rose, Sherri; Bromet, Evelyn J.; Brown, Millard; Cai, Tianxi; Colpe, Lisa J.; Cox, Kenneth L.; Fullerton, Carol S.; Gilman, Stephen Edward; Gruber, Michael; Heeringa, Steven G.; Lewandowski-Romps, Lisa; Li, Junlong; Millikan-Bell, Amy M.; Naifeh, James A.; Nock, Matthew K.; Rosellini, Anthony Joseph; Sampson, Nancy A.; Schoenbaum, Michael; Stein, Murray B.; Wessely, Simon; Zaslavsky, Alan M.; Ursano, Robert J. (American Medical Association (AMA), 2015)
      IMPORTANCE: The US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric ...
    • Predicting the Epidemic Sizes of Influenza A/H1N1, A/H3N2, and B: A Statistical Method 

      Goldstein, Edward; Cobey, Sarah; Takahashi, Saki; Miller, Joel C.; Lipsitch, Marc (Public Library of Science (PLoS), 2011)
      BACKGROUND: The epidemic sizes of influenza A/H3N2, A/H1N1, and B infections vary from year to year in the United States. We use publicly available US Centers for Disease Control (CDC) influenza surveillance data between ...
    • Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study 

      Pitzer, Virginia E.; Bowles, Cayley C.; Baker, Stephen; Kang, Gagandeep; Balaji, Veeraraghavan; Farrar, Jeremy J.; Grenfell, Bryan T. (Public Library of Science, 2014)
      Background: Modeling of the transmission dynamics of typhoid allows for an evaluation of the potential direct and indirect effects of vaccination; however, relevant typhoid models rooted in data have rarely been deployed. ...
    • Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts 

      Genders, Tessa S S; Steyerberg, Ewout W; Nieman, Koen; Galema, Tjebbe W; Mollet, Nico R; de Feyter, Pim J; Krestin, Gabriel P; Alkadhi, Hatem; Leschka, Sebastian; Desbiolles, Lotus; Meijs, Matthijs F L; Cramer, Maarten J; Knuuti, Juhani; Kajander, Sami; Bogaert, Jan; Goetschalckx, Kaatje; Cademartiri, Filippo; Maffei, Erica; Martini, Chiara; Seitun, Sara; Aldrovandi, Annachiara; Wildermuth, Simon; Stinn, Björn; Fornaro, Jürgen; Feuchtner, Gudrun; De Zordo, Tobias; Auer, Thomas; Plank, Fabian; Friedrich, Guy; Pugliese, Francesca; Schoepf, U Joseph; Rowe, Garrett W; van Mieghem, Carlos A G; van Driessche, Luc; Sinitsyn, Valentin; Gopalan, Deepa; Nikolaou, Konstantin; Bamberg, Fabian; Cury, Ricardo C; Battle, Juan; Maurovich-Horvat, Pál; Bartykowszki, Andrea; Merkely, Bela; Becker, Dávid; Hadamitzky, Martin; Hausleiter, Jörg; Dewey, Marc; Zimmermann, Elke; Laule, Michael; Hunink, Maria G M; Petersen, Steffen Erhard; Davies, L. Ceri (BMJ Publishing Group Ltd., 2012)
      Objectives: To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations. Design Retrospective pooled analysis of individual patient data. Setting 18 ...
    • Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants 

      Mavaddat, Nasim; Pharoah, Paul D. P.; Michailidou, Kyriaki; Tyrer, Jonathan; Brook, Mark N.; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Dunning, Alison M.; Shah, Mitul; Luben, Robert; Brown, Judith; Bojesen, Stig E.; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Czene, Kamila; Darabi, Hatef; Eriksson, Mikael; Peto, Julian; dos-Santos-Silva, Isabel; Dudbridge, Frank; Johnson, Nichola; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Rutgers, Emiel J.; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J.; Figueroa, Jonine; Chanock, Stephen J.; Brinton, Louise; Lissowska, Jolanta; Couch, Fergus J.; Olson, Janet E.; Vachon, Celine; Pankratz, Vernon S.; Lambrechts, Diether; Wildiers, Hans; Van Ongeval, Chantal; van Limbergen, Erik; Kristensen, Vessela; Grenaker Alnæs, Grethe; Nord, Silje; Borresen-Dale, Anne-Lise; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Fasching, Peter A.; Haeberle, Lothar; Ekici, Arif B.; Beckmann, Matthias W.; Burwinkel, Barbara; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Trentham-Dietz, Amy; Newcomb, Polly; Titus, Linda; Egan, Kathleen M.; Hunter, David J.; Lindstrom, Sara; Tamimi, Rulla M.; Kraft, Peter; Rahman, Nazneen; Turnbull, Clare; Renwick, Anthony; Seal, Sheila; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Benitez, Javier; Pilar Zamora, M.; Arias Perez, Jose Ignacio; Menéndez, Primitiva; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Bogdanova, Natalia V.; Antonenkova, Natalia N.; Dörk, Thilo; Anton-Culver, Hoda; Neuhausen, Susan L.; Ziogas, Argyrios; Bernstein, Leslie; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; van Asperen, Christi J.; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Khusnutdinova, Elza; Bermisheva, Marina; Prokofyeva, Darya; Takhirova, Zalina; Meindl, Alfons; Schmutzler, Rita K.; Sutter, Christian; Yang, Rongxi; Schürmann, Peter; Bremer, Michael; Christiansen, Hans; Park-Simon, Tjoung-Won; Hillemanns, Peter; Guénel, Pascal; Truong, Thérèse; Menegaux, Florence; Sanchez, Marie; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Pensotti, Valeria; Hopper, John L.; Tsimiklis, Helen; Apicella, Carmel; Southey, Melissa C.; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Sigurdson, Alice J.; Doody, Michele M.; Hamann, Ute; Torres, Diana; Ulmer, Hans-Ulrich; Försti, Asta; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Marie Mulligan, Anna; Chenevix-Trench, Georgia; Balleine, Rosemary; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Lindblom, Annika; Margolin, Sara; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Eilber, Ursula; Wang-Gohrke, Shan; Hooning, Maartje J.; Hollestelle, Antoinette; van den Ouweland, Ans M. W.; Koppert, Linetta B.; Carpenter, Jane; Clarke, Christine; Scott, Rodney; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Brenner, Hermann; Arndt, Volker; Stegmaier, Christa; Karina Dieffenbach, Aida; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Offit, Kenneth; Vijai, Joseph; Robson, Mark; Rau-Murthy, Rohini; Dwek, Miriam; Swann, Ruth; Annie Perkins, Katherine; Goldberg, Mark S.; Labrèche, France; Dumont, Martine; Eccles, Diana M.; Tapper, William J.; Rafiq, Sajjad; John, Esther M.; Whittemore, Alice S.; Slager, Susan; Yannoukakos, Drakoulis; Toland, Amanda E.; Yao, Song; Zheng, Wei; Halverson, Sandra L.; González-Neira, Anna; Pita, Guillermo; Rosario Alonso, M.; Álvarez, Nuria; Herrero, Daniel; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Maranian, Mel; Healey, Catherine S.; Simard, Jacques; Hall, Per; Easton, Douglas F.; Garcia-Closas, Montserrat (Oxford University Press, 2015)
      Background: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. ...
    • Prediction of trapezius muscle activity and shoulder, head, neck, and torso postures during computer use: results of a field study 

      Bruno Garza, Jennifer L; Eijckelhof, Belinda HW; Huysmans, Maaike A; Johnson, Peter W; van Dieen, Jaap H; Catalano, Paul J; Katz, Jeffrey N; van der Beek, Allard J; Dennerlein, Jack T (BioMed Central, 2014)
      Background: Due to difficulties in performing direct measurements as an exposure assessment technique, evidence supporting an association between physical exposures such as neck and shoulder muscle activities and postures ...
    • Predictive and Prognostic Analysis of PIK3CA Mutation in Stage III Colon Cancer Intergroup Trial 

      Ogino, Shuji; Liao, Xiaoyun; Imamura, Yu; Yamauchi, Mai; McCleary, Nadine J.; Ng, Kimmie; Niedzwiecki, Donna; Saltz, Leonard B.; Mayer, Robert J.; Whittom, Renaud; Hantel, Alexander; Benson, Al B. III; Mowat, Rex B.; Spiegelman, Donna; Goldberg, Richard M.; Bertagnolli, Monica M.; Meyerhardt, Jeffrey A.; Fuchs, Charles S. (Oxford University Press, 2013)
      Somatic mutations in PIK3CA (phosphatidylinositol-4,5-bisphosphonate 3-kinase [PI3K], catalytic subunit alpha gene) activate the PI3K-AKT signaling pathway and contribute to pathogenesis of various malignancies, including ...
    • Predictive and Prognostic Roles of BRAF Mutation in Stage III Colon Cancer: Results from Intergroup Trial CALGB 89803 

      Ogino, Shuji; Shima, Kaori; Meyerhardt, Jeffrey A.; McCleary, Nadine J.; Ng, Kimmie; Hollis, Donna; Saltz, Leonard B.; Mayer, Robert J.; Schaefer, Paul; Whittom, Renaud; Hantel, Alexander; Benson, Al B. III; Spiegelman, Donna; Goldberg, Richard M.; Bertagnolli, Monica M.; Fuchs, Charles S. (American Association for Cancer Research, 2012)
      Purpose: Alterations in the RAS-RAF-MAP2K (MEK)-MAPK signaling pathway are major drivers in colorectal carcinogenesis. In colorectal cancer, BRAF mutation is associated with microsatellite instability (MSI), and typically ...
    • Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences 

      Langille, Morgan G. I.; Zaneveld, Jesse; Caporaso, J. Gregory; McDonald, Daniel; Knights, Dan; Reyes, Joshua A.; Clemente, Jose C.; Burkepile, Deron E.; Vega Thurber, Rebecca L.; Knight, Rob; Beiko, Robert G.; Huttenhower, Curtis (2013)
      Profiling phylogenetic marker genes, such as the 16S rRNA gene, is a key tool for studies of microbial communities but does not provide direct evidence of a community’s functional capabilities. Here we describe PICRUSt ...
    • Predictive Networks: A Flexible, Open Source, Web Application for Integration and Analysis of Human Gene Networks 

      Haibe-Kains, Benjamin; Olsen, Catharina; Djebbari, Amira; Bontempi, Gianluca; Correll, Mick; Bouton, Christopher; Quackenbush, John (Oxford University Press, 2012)
      Genomics provided us with an unprecedented quantity of data on the genes that are activated or repressed in a wide range of phenotypes. We have increasingly come to recognize that defining the networks and pathways underlying ...
    • A Predictive Phosphorylation Signature of Lung Cancer 

      Rikova, Klarisa; Merberg, David; Kasif, Simon; Steffen, Martin; Creighton, Chad; Wu, Chang-Jiun; Cai, Tianxi (Public Library of Science, 2009)
      Background: Aberrant activation of signaling pathways drives many of the fundamental biological processes that accompany tumor initiation and progression. Inappropriate phosphorylation of intermediates in these signaling ...
    • Predictive Value of Updating Framingham Risk Scores with Novel Risk Markers in the U.S. General Population 

      Ferket, Bart S.; van Kempen, Bob J. H.; Hunink, M. G. Myriam; Agarwal, Isha; Kavousi, Maryam; Franco, Oscar H.; Steyerberg, Ewout W.; Max, Wendy; Fleischmann, Kirsten E. (Public Library of Science, 2014)
      Background: According to population-based cohort studies CT coronary calcium score (CTCS), carotid intima-media thickness (cIMT), high-sensitivity C- reactive protein (CRP), and ankle-brachial index (ABI) are promising ...