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  1. 30321
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    Molecular Biomarkers for the Evaluation of Colorectal Cancer: Guideline From the American Society for Clinical Pathology, College of American Pathologists, Association for Molecular Pathology, and American Society of Clinical Oncology
  2. 30322
    “…We collated these results with existing public data to provide a dataset of splicing assay results for a total of 671 MMR gene sequence variants (328 missense/in-frame indel), and published and unpublished repair activity measurements for 154 of these variants. …”
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    Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation
  3. 30323
    “…To identify novel CRC susceptibility loci, we conducted a new GWAS and performed a meta-analysis with five published GWAS (totalling 7,577 cases and 9,979 controls of European ancestry), imputing genotypes utilising the 1000 Genomes Project. …”
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    A new GWAS and meta-analysis with 1000Genomes imputation identifies novel risk variants for colorectal cancer
  4. 30324
    “…Following variant filtering, 7046 total variants were identified (~79/person, 644 Tier-1, 6402 Tier-2), 161 among 56 ACMG-reportable genes (~1.8/person, 13 Tier-1, 148 Tier-2), and 115 among 57 cancer-predisposition genes (~1.3/person, 3 Tier-1, 112 Tier-2). …”
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    How well do whole exome sequencing results correlate with medical findings? A study of 89 Mayo Clinic Biobank samples
  5. 30325
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    Leptin gene variants and colorectal cancer risk: Sex-specific associations
  6. 30326
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    Genomic Characterization of Upper-Tract Urothelial Carcinoma in Patients With Lynch Syndrome
  7. 30327
    “…However, as genetic variants may have effects on more than one gene and through different mechanisms, these methods likely only capture part of the total effects of these variants. In this paper, we propose a summary statistics-based mixed effects score test (sMiST) that tests for the total effect of both the effect of the mediator by imputing genetically predicted gene expression, like S-PrediXcan and TWAS, and the direct effects of individual variants. …”
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    A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study
  8. 30328
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    Integrating Genomic Screening into Primary Care: Provider Experiences Caring for Latino Patients at a Community-Based Health Center
  9. 30329
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    Associations of Height With the Risks of Colorectal and Endometrial Cancer in Persons With Lynch Syndrome
  10. 30330
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    Effect of Optimized Precursor Concentration, Temperature, and Doping on Optical Properties of ZnO Nanoparticles Synthesized via a Green Route Using Bush Tea (Athrixia phylicoides DC.) Leaf Extracts
  11. 30331
    “…Disclosure: M. Untalan: None. N.A. Crimmins: None. A. Mencin: None. …”
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    FRI591 Association Of TSH Levels And NAFLD Severity In Children And Adolescents
  12. 30332
    “…METHODS: Two cross-sectional surveys were conducted in 2014 to assess the prevalence of MiP in Vapi District, Salavan Province, southern Laos: the first consisted of screening 204 pregnant women during pregnancies [mean (95 % CI) gestational age: 23 (22–25) weeks] living in 30 randomly selected villages in Vapi District; the second was conducted among 331 pregnant women, who delivered during the study period in Vapi and Toumlane District Hospitals and in Salavan Provincial Hospital. …”
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    Prevalence of malaria in pregnancy in southern Laos: a cross-sectional survey
  13. 30333
    “…Compared with the interior community, the βtotal.tax and βtotal.func of the roadside community decreased by 2.54% and 2.22%, respectively, which were related to the reduction of species and trait richness differences and replacements; however, we did not find the same results when assessing the changes in βtotal.phy, which represents tip-weighted PBD (twPBD). …”
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    Understanding the taxonomic homogenization of road-influenced plant assemblages in the Qionglai mountain range: A functional and phylogenetic perspective
  14. 30334
    por Orlando, Giulia, Law, Philip J., Palin, Kimmo, Tuupanen, Sari, Gylfe, Alexandra, Hänninen, Ulrika A., Cajuso, Tatiana, Tanskanen, Tomas, Kondelin, Johanna, Kaasinen, Eevi, Sarin, Antti-Pekka, Kaprio, Jaakko, Eriksson, Johan G., Rissanen, Harri, Knekt, Paul, Pukkala, Eero, Jousilahti, Pekka, Salomaa, Veikko, Ripatti, Samuli, Palotie, Aarno, Järvinen, Heikki, Renkonen-Sinisalo, Laura, Lepistö, Anna, Böhm, Jan, Mecklin, Jukka-Pekka, Al-Tassan, Nada A., Palles, Claire, Martin, Lynn, Barclay, Ella, Tenesa, Albert, Farrington, Susan, Timofeeva, Maria N., Meyer, Brian F., Wakil, Salma M., Campbell, Harry, Smith, Christopher G., Idziaszczyk, Shelley, Maughan, Timothy S., Kaplan, Richard, Kerr, Rachel, Kerr, David, Buchanan, Daniel D., Ko Win, Aung, Hopper, John, Jenkins, Mark, Lindor, Noralane M., Newcomb, Polly A., Gallinger, Steve, Conti, David, Schumacher, Fred, Casey, Graham, Taipale, Jussi, Cheadle, Jeremy P., Dunlop, Malcolm G., Tomlinson, Ian P., Aaltonen, Lauri A., Houlston, Richard S.
    Publicado 2016
    “…To identify new risk loci for colorectal cancer (CRC), we conducted a meta-analysis of seven genome-wide association studies (GWAS) with independent replication, totalling 13 656 CRC cases and 21 667 controls of European ancestry. …”
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    Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel disease
  15. 30335
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    Targeted sequencing of 36 known or putative colorectal cancer susceptibility genes
  16. 30336
    por May-Wilson, Sebastian, Sud, Amit, Law, Philip J., Palin, Kimmo, Tuupanen, Sari, Gylfe, Alexandra, Hänninen, Ulrika A., Cajuso, Tatiana, Tanskanen, Tomas, Kondelin, Johanna, Kaasinen, Eevi, Sarin, Antti-Pekka, Eriksson, Johan G., Rissanen, Harri, Knekt, Paul, Pukkala, Eero, Jousilahti, Pekka, Salomaa, Veikko, Ripatti, Samuli, Palotie, Aarno, Renkonen-Sinisalo, Laura, Lepistö, Anna, Böhm, Jan, Mecklin, Jukka-Pekka, Al-Tassan, Nada A., Palles, Claire, Farrington, Susan M., Timofeeva, Maria N., Meyer, Brian F., Wakil, Salma M., Campbell, Harry, Smith, Christopher G., Idziaszczyk, Shelley, Maughan, Timothy S., Fisher, David, Kerr, Rachel, Kerr, David, Passarelli, Michael N., Figueiredo, Jane C., Buchanan, Daniel D., Win, Aung K., Hopper, John L., Jenkins, Mark A., Lindor, Noralane M., Newcomb, Polly A., Gallinger, Steven, Conti, David, Schumacher, Fred, Casey, Graham, Aaltonen, Lauri A., Cheadle, Jeremy P., Tomlinson, Ian P., Dunlop, Malcolm G., Houlston, Richard S.
    Publicado 2017
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    Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysis
  17. 30337
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    Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies
  18. 30338
    por Dominguez-Valentin, Mev, Sampson, Julian R., Seppälä, Toni T., ten Broeke, Sanne W., Plazzer, John-Paul, Nakken, Sigve, Engel, Christoph, Aretz, Stefan, Jenkins, Mark A., Sunde, Lone, Bernstein, Inge, Capella, Gabriel, Balaguer, Francesc, Thomas, Huw, Evans, D. Gareth, Burn, John, Greenblatt, Marc, Hovig, Eivind, de Vos tot Nederveen Cappel, Wouter H., Sijmons, Rolf H., Bertario, Lucio, Tibiletti, Maria Grazia, Cavestro, Giulia Martina, Lindblom, Annika, Della Valle, Adriana, Lopez-Köstner, Francisco, Gluck, Nathan, Katz, Lior H., Heinimann, Karl, Vaccaro, Carlos A., Büttner, Reinhard, Görgens, Heike, Holinski-Feder, Elke, Morak, Monika, Holzapfel, Stefanie, Hüneburg, Robert, Knebel Doeberitz, Magnus von, Loeffler, Markus, Rahner, Nils, Schackert, Hans K., Steinke-Lange, Verena, Schmiegel, Wolff, Vangala, Deepak, Pylvänäinen, Kirsi, Renkonen-Sinisalo, Laura, Hopper, John L., Win, Aung Ko, Haile, Robert W., Lindor, Noralane M., Gallinger, Steven, Le Marchand, Loïc, Newcomb, Polly A., Figueiredo, Jane C., Thibodeau, Stephen N., Wadt, Karin, Therkildsen, Christina, Okkels, Henrik, Ketabi, Zohreh, Moreira, Leticia, Sánchez, Ariadna, Serra-Burriel, Miquel, Pineda, Marta, Navarro, Matilde, Blanco, Ignacio, Green, Kate, Lalloo, Fiona, Crosbie, Emma J., Hill, James, Denton, Oliver G., Frayling, Ian M., Rødland, Einar Andreas, Vasen, Hans, Mints, Miriam, Neffa, Florencia, Esperon, Patricia, Alvarez, Karin, Kariv, Revital, Rosner, Guy, Pinero, Tamara Alejandra, Gonzalez, María Laura, Kalfayan, Pablo, Tjandra, Douglas, Winship, Ingrid M., Macrae, Finlay, Möslein, Gabriela, Mecklin, Jukka-Pekka, Nielsen, Maartje, Møller, Pål
    Publicado 2020
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    Correction: Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database
  19. 30339
    “…Les effets secondaires collectés étaient locaux : une rougeur (1,4 %), un gonflement (1,3 %), une induration (2,6 %), une sensibilité et douleur au site d’injection (26,4 %), une douleur étendue à tous le bras (1,6 %), une chaleur (2 %), ou à distance du site d’injection : un œdème scrotal (0,1 %), un rash (0,4 %), un prurit (0,1 %), un herpès labial (0,1 %) et une éruption acnéiforme du visage (0,3 %). La totalité du personnel a été traité en ambulatoire, la gestion était symptomatique par traitement local et antihistaminiques ou spécifique en fonction de l’étiologie avec une bonne évolution. …”
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    Effets secondaires cutanés du vaccin anti-SARS-CoV2. Expérience chez le personnel soignant du CHU Hassan 2 de Fès
  20. 30340
    por Pham, Tien Van, Tran, Anh Van
    Publicado 2021
    “…In contrast to the H-abstraction rate constants, the calculated values for the additions and the C(4)H(4)NO decompositions show a positive pressure dependence. Both the total rate constants for the reactions HNCO + C(3)H(3) → products and C(4)H(4)NO → products, which are, respectively, k(_total_bimo)(T) = 3.53 × 10(–23)T(3.27) exp[(−21.35 ± 0.06 kcal/mol)/RT] cm(3) molecule(–1) s(–1) and k(_total_uni)(T) = 1.13 × 10(25)T(–4.02) exp[(−11.77 ± 0.16 kcal/mol)/RT] s(–1), increase with the increasing temperature in the 300–2000 K range at 760 Torr. …”
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    Gas Phase Reaction of Isocyanic Acid: Kinetics, Mechanisms, and Formation of Isopropyl Aminocarbonyl
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