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7. Pilot Study Evaluating Regulatory T Cell–Promoting Immunosuppression and Nonimmunogenic Donor Antigen Delivery in a Nonhuman Primate Islet Allotransplantation Model

Author

Lei, J., Kim, J.I., Shi, S., Zhang, X., Machaidze, Z., Lee, S., Schuetz, C., Martins, P.N., Oura, T., Farkash, E.A., Rosales, I.A., Smith, R.N., Stott, R., Lee, K.M., Soohoo, J., Boskovic, S., Cappetta, K., Nadazdin, O.M., Yamada, Y., Yeh, H., Kawai, T., Sachs, D.H., Benichou, G., and Markmann, J.F.

Published
2015
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9. Reproductive Factors and Subtypes of Breast Cancer Defined by Estrogen Receptor, Progesterone Receptor, and Human Epidermal Growth Factor Receptor 2: A Register-Based Study From Korea

Author

Ahn, S.H., Bae, J.W., Bae, Y.T., Baek, J.W., Bong, J.G., Cha, K.H., Chang, E.S., Chang, I.T., Chang, S.S., Cho, J.W., Cho, S.H., Cho, Y.U., Choi, J.W., Choi, K.J., Choi, M.S., Choi, S.I., Choi, S.Y., Goo, G.S., Han, S.H., Han, W., Hong, S.J., Hwang, J.Y., Hyun, T.I., Jegal, Y.J., Im, M.G., Joh, Y.G., Jun, S.Y., Jung, B.W., Jung, J., Jung, J.H., Jung, K.H., Jung, P.J., Jung, S.H., Jung, S.S., Jung, Y.H., Jung, Y.S., Kang, D.H., Kang, H.J., Kang, Y.I., Kang, Y.J., Keum, J.H., Kim, D.Y., Kim, H.J., Kim, J.G., Kim, J.H., Kim, J.S., Kim, K.C., Kim, S.C., Kim, S.H., Kim, S.I., Kim, S.J., Kim, S.W., Kim, S.Y., Kim, Y.S., Ko, B.K., Ko, S.S., Koh, S.H., Koo, B.H., Koo, J.Y., Kwak, B.S., Lee, C.H., Lee, D.H., Lee, D.S., Lee, E.S., Lee, G.S., Lee, H.D., Lee, H.S., Lee, J.C., Lee, J.H., Lee, J.K., Lee, J.S., Lee, J.Y., Lee, K.M., Lee, K.P., Lee, K.S., Lee, K.Y., Lee, M.H., Lee, R.A., Lee, S.C., Lee, S.J., Lee, S.K., Lee, W., Lee, Y.H., Leu, J.W., Lim, C.H., Lim, C.W., Moon, B.I., Nam, Y.S., Nam, S.J., Noh, D.Y., Noh, W.C., Oh, S.J., Oh, S.S., Pae, W.K., Paik, I.W., Paik, N.S., Park, B.G., Park, B.W., Park, C.H., Park, H.B., Park, H.Y., Park, J.H., Park, K.H., Park, S.J., Park, S.T., Park, S.W., Park, W.C., Park, Y.K., Seo, H.S., Seo, K.H., Seo, Y.J., Sin, Y.S., Son, B.H., Son, G.S., Song, B .J., Song, K.H., Song, Y.J., Suh, Y.J., Won, J.M., Woo, D.H., Yang, D.H., Yang, J.H., Yoo, K.Y., Yoo, S.Y., Yoon, H.S., Yoon, J.H., Yoon, S.O., Lee, Jung Sun, and Oh, Minkyung

Published
2014
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10. Cross-ancestry investigation of venousc genomic predictors

Author

Thibord, F., Klarin, D., Brody, J.A., Chen, M.H., Levin, M.G., Chasman, D.I., Goode, E.L., Hveem, K., Teder-Laving, M., Martinez-Perez, A., Aissi, D., Daian-Bacq, D., Ito, K., Natarajan, P., Lutsey, P.L., Nadkarni, G.N., Vries, P.S. de, Cuellar-Partida, G., Wolford, B.N., Pattee, J.W., Kooperberg, C., Braekkan, S.K., Li-Gao, R.F., Saut, N., Sept, C., Germain, M., Judy, R.L., Wiggins, K.L., Ko, D., O'Donnell, C.J., Taylor, K.D., Giulianini, F., Andrade, M. de, Nost, T.H., Boland, A., Empana, J.P., Koyama, S., Gilliland, T., R. do, Huffman, J.E., Wang, X., Zhou, W., Soria, J.M., Souto, J.C., Pankratz, N., Haessler, J., Hindberg, K., Rosendaal, F.R., Turman, C., Olaso, R., Kember, R.L., Bartz, T.M., Lynch, J.A., Heckbert, S.R., Armasu, S.M., Brumpton, B., Smadja, D.M., Jouven, X., Komuro, I., Clapham, K.R., Loos, R.J.F., Willer, C.J., Sabater-Lleal, M., Pankow, J.S., Reiner, A.P., Morelli, V.M., Ridker, P.M., Vlieg, A.V., Deleuze, J.F., Kraft, P., Rader, D.J., Lee, K.M., Psaty, B.M., Skogholt, A.H., Emmerich, J., Suchon, P., Rich, S.S., Vy, H.T., Tang, W.H., Jackson, R.D., Hansen, J.B., Morange, P.E., Kabrhel, C., Tregouet, D.A., Damrauer, S.M., Johnson, A.D., and Smith, N.L.

Subjects
meta-analysis, genome-wide association study, venous thromboembolism, genetics, venous thrombosis
Abstract

Background: Venous thromboembolism (VTE) is a life-threatening vascular event with environmental and genetic determinants. Recent VTE genome-wide association studies (GWAS) meta-analyses involved nearly 30 000 VTE cases and identified up to 40 genetic loci associated with VTE risk, including loci not previously suspected to play a role in hemostasis. The aim of our research was to expand discovery of new genetic loci associated with VTE by using cross-ancestry genomic resources. Methods: We present new cross-ancestry meta-analyzed GWAS results involving up to 81 669 VTE cases from 30 studies, with replication of novel loci in independent populations and loci characterization through in silico genomic interrogations. Results: In our genetic discovery effort that included 55 330 participants with VTE (47 822 European, 6320 African, and 1188 Hispanic ancestry), we identified 48 novel associations, of which 34 were replicated after correction for multiple testing. In our combined discovery-replication analysis (81 669 VTE participants) and ancestry-stratified meta-analyses (European, African, and Hispanic), we identified another 44 novel associations, which are new candidate VTE-associated loci requiring replication. In total, across all GWAS meta-analyses, we identified 135 independent genomic loci significantly associated with VTE risk. A genetic risk score of the significantly associated loci in Europeans identified a 6-fold increase in risk for those in the top 1% of scores compared with those with average scores. We also identified 31 novel transcript associations in transcriptome-wide association studies and 8 novel candidate genes with protein quantitative-trait locus Mendelian randomization analyses. In silico interrogations of hemostasis and hematology traits and a large phenome-wide association analysis of the 135 GWAS loci provided insights to biological pathways contributing to VTE, with some loci contributing to VTE through well-characterized coagulation pathways and others providing new data on the role of hematology traits, particularly platelet function. Many of the replicated loci are outside of known or currently hypothesized pathways to thrombosis. Conclusions: Our cross-ancestry GWAS meta-analyses identified new loci associated with VTE. These findings highlight new pathways to thrombosis and provide novel molecules that may be useful in the development of improved antithrombosis treatments.

Published
2022

11. Association of Prostate-Specific Antigen Screening Rates and Subsequent Metastatic Prostate Cancer Incidence in a National Healthcare System

Author

Bryant, A.K., primary, Lee, K.M., additional, Alba, P.R., additional, Murphy, J.D., additional, Martinez, M.E., additional, Natarajan, L., additional, Green, M., additional, Dess, R.T., additional, Anglin, T.R., additional, Robison, B., additional, Duvall, S.L., additional, Lynch, J.A., additional, and Rose, B.S., additional

Published
2022
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32. Defining Racial Disparities Across the Prostate Cancer Disease Continuum in an Equal Access-to-Care Setting Within the Nation's Largest Healthcare Network

Author

Yamoah, K., primary, Lee, K.M., additional, Alba, P.R., additional, Awasthi, S., additional, Perez, C., additional, Gao, A., additional, Anglin, T.R., additional, Robison, B., additional, Duvall, S.L., additional, Katsoulakis, E., additional, Wong, Y.N., additional, Markt, S., additional, Rose, B.S., additional, Burri, R., additional, Wang, C., additional, Aboiralor, O., additional, Fink, A., additional, Nickols, N.G., additional, Lynch, J.A., additional, and Garraway, I., additional

Published
2021
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34. To which world regions does the valence–dominance model of social perception apply?

Author

Jones, B.C. DeBruine, L.M. Flake, J.K. Liuzza, M.T. Antfolk, J. Arinze, N.C. Ndukaihe, I.L.G. Bloxsom, N.G. Lewis, S.C. Foroni, F. Willis, M.L. Cubillas, C.P. Vadillo, M.A. Turiegano, E. Gilead, M. Simchon, A. Saribay, S.A. Owsley, N.C. Jang, C. Mburu, G. Calvillo, D.P. Wlodarczyk, A. Qi, Y. Ariyabuddhiphongs, K. Jarukasemthawee, S. Manley, H. Suavansri, P. Taephant, N. Stolier, R.M. Evans, T.R. Bonick, J. Lindemans, J.W. Ashworth, L.F. Hahn, A.C. Chevallier, C. Kapucu, A. Karaaslan, A. Leongómez, J.D. Sánchez, O.R. Valderrama, E. Vásquez-Amézquita, M. Hajdu, N. Aczel, B. Szecsi, P. Andreychik, M. Musser, E.D. Batres, C. Hu, C.-P. Liu, Q.-L. Legate, N. Vaughn, L.A. Barzykowski, K. Golik, K. Schmid, I. Stieger, S. Artner, R. Mues, C. Vanpaemel, W. Jiang, Z. Wu, Q. Marcu, G.M. Stephen, I.D. Lu, J.G. Philipp, M.C. Arnal, J.D. Hehman, E. Xie, S.Y. Chopik, W.J. Seehuus, M. Azouaghe, S. Belhaj, A. Elouafa, J. Wilson, J.P. Kruse, E. Papadatou-Pastou, M. De La Rosa-Gómez, A. Barba-Sánchez, A.E. González-Santoyo, I. Hsu, T. Kung, C.-C. Wang, H.-H. Freeman, J.B. Oh, D.W. Schei, V. Sverdrup, T.E. Levitan, C.A. Cook, C.L. Chandel, P. Kujur, P. Parganiha, A. Parveen, N. Pati, A.K. Pradhan, S. Singh, M.M. Pande, B. Bavolar, J. Kačmár, P. Zakharov, I. Álvarez-Solas, S. Baskin, E. Thirkettle, M. Schmidt, K. Christopherson, C.D. Leonis, T. Suchow, J.W. Olofsson, J.K. Jernsäther, T. Lee, A.-S. Beaudry, J.L. Gogan, T.D. Oldmeadow, J.A. Balas, B. Stevens, L.M. Colloff, M.F. Flowe, H.D. Gülgöz, S. Brandt, M.J. Hoyer, K. Jaeger, B. Ren, D. Sleegers, W.W.A. Wissink, J. Kaminski, G. Floerke, V.A. Urry, H.L. Chen, S.-C. Pfuhl, G. Vally, Z. Basnight-Brown, D.M. Jzerman, H.I. Sarda, E. Neyroud, L. Badidi, T. Van der Linden, N. Tan, C.B.Y. Kovic, V. Sampaio, W. Ferreira, P. Santos, D. Burin, D.I. Gardiner, G. Protzko, J. Schild, C. Ścigała, K.A. Zettler, I. O’Mara Kunz, E.M. Storage, D. Wagemans, F.M.A. Saunders, B. Sirota, M. Sloane, G.V. Lima, T.J.S. Uittenhove, K. Vergauwe, E. Jaworska, K. Stern, J. Ask, K. van Zyl, C.J.J. Körner, A. Weissgerber, S.C. Boudesseul, J. Ruiz-Dodobara, F. Ritchie, K.L. Michalak, N.M. Blake, K.R. White, D. Gordon-Finlayson, A.R. Anne, M. Janssen, S.M.J. Lee, K.M. Nielsen, T.K. Tamnes, C.K. Zickfeld, J.H. Rosa, A.D. Vianello, M. Kocsor, F. Kozma, L. Putz, Á. Tressoldi, P. Irrazabal, N. Chatard, A. Lins, S. Pinto, I.R. Lutz, J. Adamkovic, M. Babincak, P. Baník, G. Ropovik, I. Coetzee, V. Dixson, B.J.W. Ribeiro, G. Peters, K. Steffens, N.K. Tan, K.W. Thorstenson, C.A. Fernandez, A.M. Hsu, R.M.C.S. Valentova, J.V. Varella, M.A.C. Corral-Frías, N.S. Frías-Armenta, M. Hatami, J. Monajem, A. Sharifian, M.H. Frohlich, B. Lin, H. Inzlicht, M. Alaei, R. Rule, N.O. Lamm, C. Pronizius, E. Voracek, M. Olsen, J. Giolla, E.M. Akgoz, A. Özdoğru, A.A. Crawford, M.T. Bennett-Day, B. Koehn, M.A. Okan, C. Gill, T. Miller, J.K. Dunham, Y. Yang, X. Alper, S. Borras-Guevara, M.L. Cai, S.J. Tiantian, D. Danvers, A.F. Feinberg, D.R. Armstrong, M.M. Gilboa-Schechtman, E. McCarthy, R.J. Muñoz-Reyes, J.A. Polo, P. Shiramazu, V.K.M. Yan, W.-J. Carvalho, L. Forscher, P.S. Chartier, C.R. Coles, N.A.

Abstract

Over the past 10 years, Oosterhof and Todorov’s valence–dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov’s methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov’s original analysis strategy, the valence–dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence–dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution. Protocol registration: The stage 1 protocol for this Registered Report was accepted in principle on 5 November 2018. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.7611443.v1. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.

Published
2021

35. Statistical consideration when adding new arms to ongoing clinical trials:the potentials and the caveats

Author

Lee, K.M., Brown, L.C., Jaki, T., Stallard, N., Wason, J., Lee, K.M., Brown, L.C., Jaki, T., Stallard, N., and Wason, J.

Abstract

Background: Platform trials improve the efficiency of the drug development process through flexible features such as adding and dropping arms as evidence emerges. The benefits and practical challenges of implementing novel trial designs have been discussed widely in the literature, yet less consideration has been given to the statistical implications of adding arms. Main: We explain different statistical considerations that arise from allowing new research interventions to be added in for ongoing studies. We present recent methodology development on addressing these issues and illustrate design and analysis approaches that might be enhanced to provide robust inference from platform trials. We also discuss the implication of changing the control arm, how patient eligibility for different arms may complicate the trial design and analysis, and how operational bias may arise when revealing some results of the trials. Lastly, we comment on the appropriateness and the application of platform trials in phase II and phase III settings, as well as publicly versus industry-funded trials. Conclusion: Platform trials provide great opportunities for improving the efficiency of evaluating interventions. Although several statistical issues are present, there are a range of methods available that allow robust and efficient design and analysis of these trials.

Published
2021

37. Acidizing of conventional and tight sandstone formation using chelating agents: mineralogical prospect

Author

Shafiq, M.U., Ben Mahmud, Hisham, Gishkori, S.N., Lee, K.M., Rezaee, Reza, Shafiq, M.U., Ben Mahmud, Hisham, Gishkori, S.N., Lee, K.M., and Rezaee, Reza

Abstract

Stimulation of the sandstone reservoir requires a mixture of acids such as mud acid, which assist in enlarging the microscopic paths by dissolving the siliceous fines or clays near the well-bore region. As a result, the formation permeability and porosity can be enhanced. In deeper wells, the temperature exceeds 200 °F, at these temperature ranges, problems can arise. For example, the use of mud acid mixtures can lead to issues like precipitations, corrosion, early consumption of acids, leading to lesser acid efficiency. In this study, the core flooding apparatus was used for acidizing experiments, designed to dissolve minerals and to analyze the changes in petrophysical parameters such as porosity, permeability, and mineralogy. Conventional and tight sandstone core samples were acidized using different chelating acids such as Hydroxyethylethylenediaminetriacetic acid (HEDTA), Ethylenediaminetetraacetic acid (EDTA) and Glutamic acid (GLDA) at high-temperature conditions. Analytical studies (mineral mass, pore size distribution, topology, grain size distribution, and density distribution were conducted using Tescan Integrated Mineral Analysis (TIMA). The obtained results showed that chelating agent HEDTA created more pore spaces in the core samples and is effective in dissolving positive ions. Also, the permeability was observed to be doubled by its application which could be effective in alteration of pore topology of the sandstone cores.

Published
2020

40. An agent-based model of deliberative democracy and polarization.

Author

Lee, Bokwon, Kim, Yohan, Lee, K.M, and Yang, Jae-Suk

Subjects
DELIBERATIVE democracy, POLARIZATION (Social sciences), SOCIAL comparison, GROUP identity, CONFIRMATION bias
Abstract

In this paper, we examined the effect of deliberative democracy on the polarization of opinion. Through three case analyses, we find that deliberative democracy has two major components – provision of information and group discussion. Polarization of opinion can be explained by several theories: social identity theory, social comparison, and confirmation bias. We constructed a deliberative democracy model that reflected these mechanisms of polarization. We found that deliberative democracy actually decreased polarization of opinion when group discussion was a strong factor. Our study provides guidelines for an institutional design incorporating deliberative democracy, with emphasis on the composition of unbiased group discussions. [ABSTRACT FROM AUTHOR]

Published
2022
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