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1. Full Text Mediation analysis via potential outcomes models
by Albert, Jeffrey M
Statistics in Medicine, ISSN 0277-6715, 04/2008, Volume 27, Issue 8, pp. 1282 - 1304
This paper develops a causal or manipulation model framework for mediation analysis based on the concept of potential outcome. Using this framework, we provide... 
interaction | linear structural model | causal inference | surrogate endpoints | structural equation model | Causal inference | Linear structural model | Surrogate endpoints | Interaction | Structural equation model | MEDICINE, RESEARCH & EXPERIMENTAL | SURROGATE END-POINTS | RANDOMIZED-TRIALS | MEDICAL INFORMATICS | STATISTICS | MARKER | INSTRUMENTAL VARIABLES | BINARY OUTCOMES | STATISTICS & PROBABILITY | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | CLINICAL-TRIALS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STRUCTURAL EQUATION MODELS | PROPORTION | Linear Models | Models, Statistical | Outcome Assessment (Health Care) | Causality | Humans | Endpoint Determination
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2. Full Text Impact of navigators on first visit to a transplant center, waitlisting, and kidney transplantation a randomized, controlled trial
by Sullivan, Catherine M and Sullivan, Catherine M and Barnswell, Kitty V and Greenway, Kate and Kamps, Cindy M and Wilson, Derrick and Albert, Jeffrey M and Albert, Jeffrey M and Dolata, Jacqueline and Dolata, Jacqueline and Huml, Anne and Huml, Anne and Pencak, Julie A and Pencak, Julie A and Ducker, John T and Gedaly, Roberto and Jones, Christopher M and Pesavento, Todd and Sehgal, Ashwini R and Sehgal, Ashwini R
Clinical Journal of the American Society of Nephrology, ISSN 1555-9041, 10/2018, Volume 13, Issue 10, pp. 1550 - 1555
Background and objectivesMany patients with ESKD face barriers in completing the steps required to obtain a transplant. These eight sequential steps are... 
kidney transplantation | transplantation | Death | Waiting Lists | Kidney Failure, Chronic | Living Donors | Referral and Consultation | Control Groups | renal dialysis | UNITED-STATES | BARRIERS | RENAL-TRANSPLANTATION | Kidney Failure | CARE | Chronic | INTERVENTIONS | DISPARITIES | DISEASE | UROLOGY & NEPHROLOGY | BLACKS | CANDIDATES | ACCESS | Original
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3. Full Text Integrated In Vivo Quantitative Proteomics and Nutrient Tracing Reveals Age-Related Metabolic Rewiring of Pancreatic β Cell Function
by Wortham, Matthew and Benthuysen, Jacqueline R and Wallace, Martina and Savas, Jeffrey N and Mulas, Francesca and Divakaruni, Ajit S and Liu, Fenfen and Albert, Verena and Taylor, Brandon L and Sui, Yinghui and Saez, Enrique and Murphy, Anne N and Yates, John R and Metallo, Christian M and Sander, Maike
Cell Reports, ISSN 2211-1247, 12/2018, Volume 25, Issue 10, pp. 2904 - 2918.e8
Pancreatic β cell physiology changes substantially throughout life, yet the mechanisms that drive these changes are poorly understood. Here, we performed... 
SILAM MudPIT mass spectrometry | amplifying pathway | triggering pathway | TCA cycle | isotope tracing | β cell | insulin secretion | aging | β cell maturation | quantitative proteomics | GLUCOSE-REGULATED ANAPLEROSIS | STIMULATED INSULIN-SECRETION | RAT | MALIC ENZYME | CATAPLEROSIS | ALGORITHM | MATURATION | PROTEINS | EXPRESSION | MOUSE ISLETS | CELL BIOLOGY
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4. Full Text Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
by Christophersen, Ingrid E and Rienstra, Michiel and Roselli, Carolina and Yin, Xiaoyan and Geelhoed, Bastiaan and Barnard, John and Lin, Honghuang and Arking, Dan E and Smith, Albert V and Albert, Christine M and Chaffin, Mark and Tucker, Nathan R and Li, Molong and Klarin, Derek and Bihlmeyer, Nathan A and Low, Siew-Kee and Weeke, Peter E and Mueller-Nurasyid, Martina and Smith, J. Gustav and Brody, Jennifer A and Niemeijer, Maartje N and Doerr, Marcus and Trompet, Stella and Huffman, Jennifer and Gustafsson, Stefan and Schurmann, Claudia and Kleber, Marcus E and Lyytikainen, Leo-Pekka and Seppala, Ilkka and Malik, Rainer and Horimoto, Anea R. V. R and Perez, Marco and Sinisalo, Juha and Aeschbacher, Stefanie and Theriault, Sebastien and Yao, Jie and Radmanesh, Farid and Weiss, Stefan and Teumer, Alexander and Choi, Seung Hoan and Weng, Lu-Chen and Clauss, Sebastian and Deo, Rajat and Rader, Daniel J and Shah, Svati H and Sun, Albert and Hagemeijer, Yanick P and Verweij, Niek and Siland, Joylene E and van der Harst, Pim and Neurology Working Grp CHARGE and AFGen Consortium and METASTROKE Consortium ISGC and METASTROKE Consortium of the ISGC and Neurology Working Group of the CHARGE Consortium and the AFGen Consortium and Science for Life Laboratory, SciLifeLab and Medicinska fakulteten and Medicinska och farmaceutiska vetenskapsområdet and Geriatrik and Kardiovaskulär epidemiologi and Uppsala universitet and Institutionen för medicinska vetenskaper and Molekylär epidemiologi and Institutionen för folkhälso- och vårdvetenskap
Nature Genetics, ISSN 1061-4036, 06/2017, Volume 49, Issue 6, pp. 946 - 952
Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death(1,2). Fourteen genetic loci have... 
VISUALIZATION | GENETIC-VARIATION | METAANALYSIS | SNP | ANNOTATION | SUSCEPTIBILITY | RISK | BURDEN | GENOME-WIDE ASSOCIATION | TOOL | GENETICS & HEREDITY | European Continental Ancestry Group - genetics | Genetic Predisposition to Disease | Genome-Wide Association Study | Humans | African Americans - genetics | Genetic Loci | Atrial Fibrillation - genetics | Quantitative Trait Loci | Pharmaceutical research | Genetic variation | Atrial fibrillation | Genetic research | Genetic aspects | Forecasts and trends | Drug discovery | Identification and classification | Risk factors | Heart | Cardiac arrhythmia | Thoracic surgery | Target recognition | Laboratories | Syngeneic grafts | Genes | Genomics | Risk | Genomes | Remodeling | Epidemiology | Fibrillation | Electrocardiography | Genetics | Cardiology | Heart diseases | Public health | Heart failure | Stroke | Genealogy | Internal medicine | Mortality | Loci | Meta-analysis | Medicine | Studies | Hospitals | Death | Gene loci | population genetics | gene-expression | genome-wide association studies | Genetik | Biological Sciences | Naturvetenskap | Natural Sciences | Biologiska vetenskaper
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5. Full Text Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
by Chatrchyan, S and Khachatryan, V and Sirunyan, A.M and Tumasyan, A and Adam, N and Adam, W and Aguilo, E and Bergauer, T and Dragicevic, M and Erö, J and Fabjan, C and Friedl, M and Frühwirth, R and Ghete, V.M and Hammer, J and Hoch, M and Hörmann, N and Hrubec, J and Jeitler, M and Kiesenhofer, W and Knünz, V and Krammer, M and Krätschmer, I and Liko, D and Majerotto, W and Mikulec, I and Pernicka, M and Rahbaran, B and Rohringer, H and Rohringer, C and Schöfbeck, R and Strauss, J and Szoncsó, F and Taurok, A and Waltenberger, W and Walzel, G and Widl, E and Wulz, C.-E and Chekhovsky, V and Emeliantchik, I and Litomin, A and Makarenko, V and Mossolov, V and Shumeiko, N and Solin, A and Stefanovitch, R and Suarez Gonzalez, J and Fedorov, A and Korzhik, M and Missevitch, O and Zuyeuski, R and Bansal, M and Bansal, S and Beaumont, W and Cornelis, T and De Wolf, E.A and Druzhkin, D and Janssen, X and Luyckx, S and Mucibello, L and Ochesanu, S and Roland, B and Roland, C and Roland, G and Rougny, R and Selvaggi, G and Selvaggi, M and Staykova, Z and Van Haevermaet, H and Van Mechelen, P and Van Remortel, N and Van Spilbeeck, A and Blekman, F and Blyweert, S and DʼHondt, J and Devroede, O and Gonzalez Suarez, R and Goorens, R and Kalogeropoulos, A and Maes, M and Olbrechts, A and Tavernier, S and Van Doninck, W and Van Lancker, L and Van Mulders, P and Van Onsem, G.P and Villella, I and Clerbaux, B and De Lentdecker, G and Dero, V and Dewulf, J.P and Gay, A.P.R and Hreus, T and Léonard, A and Marage, P.E and Mohammadi, A and Reis, T and Rugovac, S and Thomas, S and Thomas, M and ... and CMS Collaboration and Los Alamos National Lab. (LANL), Los Alamos, NM (United States) and Argonne National Lab. (ANL), Argonne, IL (United States) and Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States) and Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Physics Letters B, ISSN 0370-2693, 09/2012, Volume 716, Issue 1, pp. 30 - 61
Results are presented from searches for the standard model Higgs boson in proton–proton collisions at and 8 TeV in the Compact Muon Solenoid experiment at the... 
CMS | Higgs | Physics | PARTON DISTRIBUTIONS | SEARCH | PHYSICS, NUCLEAR | COLLIDERS | STANDARD MODEL | ELECTROWEAK CORRECTIONS | BROKEN SYMMETRIES | ASTRONOMY & ASTROPHYSICS | QCD CORRECTIONS | PP COLLISIONS | SPECTRUM | MODEL HIGGS-BOSON | PHYSICS, PARTICLES & FIELDS | Analysis | Collisions (Nuclear physics) | Searching | Elementary particles | Decay | Higgs bosons | Standard deviation | Solenoids | Standards | Bosons | Physics - High Energy Physics - Experiment | High Energy Physics - Experiment | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
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6. Full Text The Immune Landscape of Cancer
by Thorsson, Vesteinn and Thorsson, Vésteinn and Gibbs, Richard A and Gibbs, David L and Brown, Scott D and Wolf, Gregory and Wolf, Denise and Bortone, Dante S and Ou Yang, Tai-Hsien and Porta-Pardo, Eduard and Gao, Galen F and Gao, Jianjiong and Plaisier, Christopher L and Eddy, James A and Ziv, Elad and Culhane, Aedin C and Paull, Evan O and Sivakumar, I.K. Ashok and Gentles, Andrew J and Malhotra, Raunaq and Farshidfar, Farshad and Colaprico, Antonio and Parker, Joel S and Mose, Lisle E and Vo, Nam Sy and Liu, Wenbin and Liu, Jianfang and Liu, Jia and Liu, Yuexin and Liu, Xiuping and Rader, Janet and Dhankani, Varsha and Reynolds, Sheila and Reynolds, Sheila M and Bowlby, Reanne and Califano, Andrea and Cherniack, Andrew D and Anastassiou, Dimitris and Bedognetti, Davide and Mokrab, Younes and Newman, Aaron M and Rao, Arvind and Chen, Amy and Chen, Chu and Chen, Ken and Krasnitz, Alexander and Hu, Jianhong and Hu, Hai and Malta, Tathiane M and Noushmehr, Houtan and Pedamallu, Chandra Sekhar and Bullman, Susan and Ojesina, Akinyemi I and Lamb, Andrew and Zhou, Wanding and Shen, Hui and Choueiri, Toni K and Weinstein, John N and Guinney, Justin and Saltz, Joel and Holt, Robert and Holt, Robert A and Rabkin, Charles S and Caesar-Johnson, Samantha J and Demchok, John A and Felau, Ina and Kasapi, Melpomeni and Ferguson, Martin L and Hutter, Carolyn M and Sofia, Heidi J and Tarnuzzer, Roy and Wang, Jioajiao and Wang, Min and Wang, Linghua and Wang, Zhining and Wang, Timothy and Wang, Jing and Yang, Ju Dong and Yang, Hannah and Yang, Liming and Yang, Ian and Zenklusen, Jean C and Zhang, Jiashan (Julia) and Zhang, Jiexin and Zhang, Lizhi and Zhang, Wei and Zhang, Hongzheng and Zhang, Hailei and Zhang, Hongxin and Chudamani, Sudha and Lolla, Laxmi and Naresh, Rashi and Pihl, Todd and Sun, Yichao and Sun, Qiang and Wan, Yunhu and Wu, Ye and Cho, Juok and DeFreitas, Timothy and Frazer, Scott and ... and Canc Genome Atlas Res Network and Cancer Genome Atlas Research Network
Immunity, ISSN 1074-7613, 04/2018, Volume 48, Issue 4, pp. 812 - 830.e14
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across... 
tumor immunology | immunotherapy | cancer genomics | integrative network analysis | immuno-oncology | tumor microenvironment | immune subtypes | immunomodulatory | Immunology | Infectious Diseases | Immunology and Allergy | GENOMIC ANALYSES | INFORMATION | T-CELL-RECEPTOR | REGULATORY NETWORK | CLASSIFICATION | IMMUNOLOGY | SEQUENCING DATA | SOMATIC MUTATIONS | COMPREHENSIVE ANALYSIS | PREDICTION | REVEALS | Transforming Growth Factor beta - immunology | Prognosis | Humans | Middle Aged | Th1-Th2 Balance - physiology | Male | Neoplasms - classification | Wound Healing - immunology | Young Adult | Transforming Growth Factor beta - genetics | Neoplasms - genetics | Neoplasms - immunology | Interferon-gamma - immunology | Adolescent | Aged, 80 and over | Adult | Female | Aged | Interferon-gamma - genetics | Wound Healing - genetics | Genomics - methods | Child | Macrophages - immunology | Cell proliferation | Cluster analysis | Transcription | Copy number | p53 Protein | Lung cancer | Genomics | Aneuploidy | Lymphocytes T | Genomes | Cell interactions | Macrophages | Immunotherapy | DNA methylation | Deoxyribonucleic acid--DNA | Immune system | Medical research | Wound healing | Immunomodulation | MiRNA | Stockholders | Inflammation | T cell receptors | Communications networks | Gene expression | White blood cells | Inventors | Medical prognosis | γ-Interferon | Mutation | Cancer | Tumors | Immune Subtypes | Integrative Network Analysis | Cancer Genomics | Immuno-oncology | Tumor immunology
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