Search

Your search keyword '"Bonham, Vence L."' showing total 417 results
Start Over Author "Bonham, Vence L."
417 results on '"Bonham, Vence L."'

2. Advancing genomics to improve health equity

Author

Madden, Ebony B., Hindorff, Lucia A., Bonham, Vence L., Akintobi, Tabia Henry, Burchard, Esteban G., Baker, Kellan E., Begay, Rene L., Carpten, John D., Cox, Nancy J., Di Francesco, Valentina, Dillard, Denise A., Fletcher, Faith E., Fullerton, Stephanie M., Garrison, Nanibaa’ A., Hammack-Aviran, Catherine M., Hiratsuka, Vanessa Y., Hildreth, James E. K., Horowitz, Carol R., Hughes Halbert, Chanita A., Inouye, Michael, Jackson, Amber, Landry, Latrice G., Kittles, Rick A., Leek, Jeff T., Limdi, Nita A., Lockhart, Nicole C., Ofili, Elizabeth O., Pérez-Stable, Eliseo J., Sabatello, Maya, Saulsberry, Loren, Schools, Lorjetta E., Troyer, Jennifer L., Wilfond, Benjamin S., Wojcik, Genevieve L., Cho, Judy H., Lee, Sandra S.-J., and Green, Eric D.

Published
2024
Full Text
View/download PDF

3. Ancestry-independent risk of venous thromboembolism in individuals with sickle cell trait vs factor V Leiden

Author

Aslibekyan, Stella, Auton, Adam, Babalola, Elizabeth, Bell, Robert K., Bielenberg, Jessica, Bowes, Jonathan, Bryc, Katarzyna, Chaudhary, Ninad S., Coker, Daniella, Das, Sayantan, DelloRusso, Emily, Elson, Sarah L., Eriksson, Nicholas, Filshtein, Teresa, Fontanillas, Pierre, Freyman, Will, Fuller, Zach, German, Chris, Granka, Julie M., Heilbron, Karl, Hernandez, Alejandro, Hicks, Barry, Hinds, David A., Jewett, Ethan M., Jiang, Yunxuan, Kukar, Katelyn, Kwong, Alan, Liang, Yanyu, Lin, Keng-Han, Llamas, Bianca A., McIntyre, Matthew H., Micheletti, Steven J., Moreno, Meghan E., Nandakumar, Priyanka, Nguyen, Dominique T., O'Connell, Jared, Petrakovitz, Aaron A., Poznik, G. David, Reynoso, Alexandra, Saini, Shubham, Schumacher, Morgan, Selcer, Leah, Shastri, Anjali J., Shelton, Janie F., Shi, Jingchunzi, Shringarpure, Suyash, Su, Qiaojuan Jane, Tat, Susana A., Tran, Vinh, Tung, Joyce Y., Wang, Xin, Wang, Wei, Weldon, Catherine H., Wilton, Peter, Wong, Corinna D., Bonham, Vence L., and Naik, Rakhi P.

Published
2024
Full Text
View/download PDF

8. The Genomic Medicine Integrative Research Framework: A Conceptual Framework for Conducting Genomic Medicine Research

Author

Horowitz, Carol R, Orlando, Lori A, Slavotinek, Anne M, Peterson, Josh, Angelo, Frank, Biesecker, Barbara, Bonham, Vence L, Cameron, Linda D, Fullerton, Stephanie M, Gelb, Bruce D, Goddard, Katrina AB, Hailu, Benyam, Hart, Ragan, Hindorff, Lucia A, Jarvik, Gail P, Kaufman, Dave, Kenny, Eimear E, Knight, Sara J, Koenig, Barbara A, Korf, Bruce R, Madden, Ebony, McGuire, Amy L, Ou, Jeffrey, Wasserstein, Melissa P, Robinson, Mimsie, Leventhal, Howard, and Sanderson, Saskia C

Subjects
Health Services and Systems, Health Sciences, Genetics, Biological Sciences, Biotechnology, Human Genome, Prevention, Good Health and Well Being, Biomedical Research, Delivery of Health Care, Integrated, Genetics, Medical, Genomics, Humans, Models, Theoretical, Precision Medicine, Rare Diseases, Research Design, conceptual, diversity, framework, genomics, implementation, model, translational research, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Conceptual frameworks are useful in research because they can highlight priority research domains, inform decisions about interventions, identify outcomes and factors to measure, and display how factors might relate to each other to generate and test hypotheses. Discovery, translational, and implementation research are all critical to the overall mission of genomic medicine and prevention, but they have yet to be organized into a unified conceptual framework. To fill this gap, our diverse team collaborated to develop the Genomic Medicine Integrative Research (GMIR) Framework, a simple but comprehensive tool to aid the genomics community in developing research questions, strategies, and measures and in integrating genomic medicine and prevention into clinical practice. Here we present the GMIR Framework and its development, along with examples of its use for research development, demonstrating how we applied it to select and harmonize measures for use across diverse genomic medicine implementation projects. Researchers can utilize the GMIR Framework for their own research, collaborative investigations, and clinical implementation efforts; clinicians can use it to establish and evaluate programs; and all stakeholders can use it to help allocate resources and make sure that the full complexity of etiology is included in research and program design, development, and evaluation.

Published
2019

15. Assessing Bias Toward a Black or White Simulated Patient with Obesity in a Virtual Reality-Based Genomics Encounter.

Author

Persky, Susan, Hollister, Brittany M., Martingano, Alison Jane, Dolwick, Alexander P., Telaak, Sydney H., Schopp, Emma M., and Bonham, Vence L.

Subjects
SELF-evaluation, HEART diseases, AFRICAN Americans, GENOMICS, BODY mass index, RESEARCH funding, HYPERTENSION, WHITE people, CHI-squared test, DESCRIPTIVE statistics, SIMULATION methods in education, VIRTUAL reality, RACE, MEDICAL students, IMPLICIT bias, TECHNOLOGY, TYPE 2 diabetes, ANALYSIS of variance, STUDENT attitudes, KIDNEY diseases, OBESITY
Abstract

Interpersonal bias based on weight and race is widespread in the clinical setting; it is crucial to investigate how emerging genomics technologies will interact with and influence such biases in the future. The current study uses a virtual reality (VR) simulation to investigate the influence of apparent patient race and provision of genomic information on medical students' implicit and explicit bias toward a virtual patient with obesity. Eighty-four third- and fourth-year medical students (64% female, 42% White) were randomized to interact with a simulated virtual patient who appeared as Black versus White, and to receive genomic risk information for the patient versus a control report. We assessed biased behavior during the simulated encounter and self-reported attitudes toward the virtual patient. Medical student participants tended to express more negative attitudes toward the White virtual patient than the Black virtual patient (both of whom had obesity) when genomic information was absent from the encounter. When genomic risk information was provided, this more often mitigated bias for the White virtual patient, whereas negative attitudes and bias against the Black virtual patient either remained consistent or increased. These patterns underscore the complexity of intersectional identities in clinical settings. Provision of genomic risk information was enough of a contextual shift to alter attitudes and behavior. This research leverages VR simulation to provide an early look at how emerging genomic technologies may differentially influence bias and stereotyping in clinical encounters. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

16. Alaska Native genomic research: perspectives from Alaska Native leaders, federal staff, and biomedical researchers

Author

Hiratsuka, Vanessa Y., Hahn, Michael J., Woodbury, R. Brian, Hull, Sara Chandros, Wilson, David R., Bonham, Vence L., Dillard, Denise A., Avey, Jaedon P., Beckel-Mitchener, Andrea C., Blome, Juliana, Claw, Katrina, Ferucci, Elizabeth D., Gachupin, Francine C., Ghazarian, Armen, Hindorff, Lucia, Jooma, Sonya, Trinidad, Susan B., Troyer, Jennifer, and Walajahi, Hina

Published
2020
Full Text
View/download PDF

20. Strategic vision for improving human health at The Forefront of Genomics

Author

Green, Eric D., Gunter, Chris, Biesecker, Leslie G., Di Francesco, Valentina, Easter, Carla L., Feingold, Elise A., Felsenfeld, Adam L., Kaufman, David J., Ostrander, Elaine A., Pavan, William J., Phillippy, Adam M., Wise, Anastasia L., Dayal, Jyoti Gupta, Kish, Britny J., Mandich, Allison, Wellington, Christopher R., Wetterstrand, Kris A., Bates, Sarah A., Leja, Darryl, Vasquez, Susan, Gahl, William A., Graham, Bettie J., Kastner, Daniel L., Liu, Paul, Rodriguez, Laura Lyman, Solomon, Benjamin D., Bonham, Vence L., Brody, Lawrence C., Hutter, Carolyn M., and Manolio, Teri A.

Published
2020
Full Text
View/download PDF

22. Ancestry-independent risk of venous thromboembolism in individuals with sickle cell trait vs factor V Leiden

Author

Lin, Keng-Han, Granka, Julie M., Shastri, Anjali J., Bonham, Vence L., Naik, Rakhi P., Aslibekyan, Stella, Auton, Adam, Babalola, Elizabeth, Bell, Robert K., Bielenberg, Jessica, Bowes, Jonathan, Bryc, Katarzyna, Chaudhary, Ninad S., Coker, Daniella, Das, Sayantan, DelloRusso, Emily, Elson, Sarah L., Eriksson, Nicholas, Filshtein, Teresa, Fontanillas, Pierre, Freyman, Will, Fuller, Zach, German, Chris, Granka, Julie M., Heilbron, Karl, Hernandez, Alejandro, Hicks, Barry, Hinds, David A., Jewett, Ethan M., Jiang, Yunxuan, Kukar, Katelyn, Kwong, Alan, Liang, Yanyu, Lin, Keng-Han, Llamas, Bianca A., McIntyre, Matthew H., Micheletti, Steven J., Moreno, Meghan E., Nandakumar, Priyanka, Nguyen, Dominique T., O'Connell, Jared, Petrakovitz, Aaron A., Poznik, G. David, Reynoso, Alexandra, Saini, Shubham, Schumacher, Morgan, Selcer, Leah, Shastri, Anjali J., Shelton, Janie F., Shi, Jingchunzi, Shringarpure, Suyash, Su, Qiaojuan Jane, Tat, Susana A., Tran, Vinh, Tung, Joyce Y., Wang, Xin, Wang, Wei, Weldon, Catherine H., Wilton, Peter, and Wong, Corinna D.

Abstract

•The risk of VTE was increased among individuals with SCT, independent of genetic ancestry, and this risk was lower than heterozygous FVL.•The risk of PE in SCT is significantly higher than the risk of isolated DVT; this pattern suggests a unique mechanism of thrombosis in SCT.

Published
2024
Full Text
View/download PDF

28. SOMATIC GENOME EDITING IN SICKLE CELL DISEASE: REWRITING A MORE JUST FUTURE.

Author

Bonham, Vence L. and Smilan, Lisa E.

Subjects
CRISPR-Cas technology -- Usage, Sickle cell anemia -- Care and treatment -- Genetic aspects, Health care disparities -- Laws, regulations and rules -- Remedies, Government regulation
Abstract

INTRODUCTION 1095 I. GENOME EDITING AND THE POTENTIAL OF CURING DISEASE 1097 II. SCD AND SOMATIC GENOME EDITING 1099 A. Background of SCD 1099 B. SCD and Genome Editing 1101 [...], Genome-editing technologies promise novel therapies for hematologic disorders. Sickle cell disease ("SCD"), the most common inherited blood disorder, has been identified as one condition where somatic genome editing may provide a cure to alleviate the burden and suffering of the disease. SCD has been slated as one of the first targets for Phase I clinical trials. Given the legacy of discrimination and health inequities for individuals living with the disease and individuals living with sickle cell trait ("SCT"), carriers of one sickle cell gene, policymakers and scientists developing genome-editing research and clinical programs must consider the history of SCD. This Article surveys the social and legal context of SCD and current somatic genome-editing research. It maintains that development and access to curative genetic therapies should be based on the principle of fairness. Equitable application of human genome editing must serve as the core legal, ethical, and social compass that guides the implementation of somatic genome-editing research and clinical treatment. Proactive steps must be taken to ensure that SCD globally is not left behind in the development of genome-editing technologies.

Published
2019

40. Mixed Race: Understanding Difference in the Genome Era

Author

Phillips, Elizabeth M., Odunlami, Adebola O., and Bonham, Vence L.

Abstract

This article presents the findings of a qualitative study of multiracial individuals' understanding of identity, race and human genetic variation. The debate regarding the correlation between race, genetics and disease has expanded, but limited empirical data has been collected regarding the lay public's perspective. Participants in this study explore their identity and its relationships to their health care interactions. Participants also share their views on race-based therapeutics, health disparities and the connections between race, ancestry and genetics. Their voices highlight the limitations of racial categories in describing differences within our increasingly diverse communities. The genomic era will be a pivotal period in challenging current understandings and uses of racial categories in health. (Contains 2 tables.)

Published
2007

41. Race and Ethnicity in the Genome Era: The Complexity of the Constructs

Author

Bonham, Vence L., Warshauer-Baker, Esther, and Collins, Francis S.

Abstract

The vast amount of biological information that is now available through the completion of the Human Genome Project presents opportunities and challenges. The genomic era has the potential to advance an understanding of human genetic variation and its role in human health and disease. A challenge for genomics research is to understand the relationships between genomics, race, and ethnicity and the implications of uncovering these relationships. Robust and scholarly discourse on the concept of race and ethnicity in genomic research should be expanded to include social and behavioral scientists. Interdisciplinary research teams are needed in which psychologists, as well as other social and behavioral scientists, work collaboratively with geneticists and other natural scientists.

Published
2005

45. Herstory as an Important Force in Bioethics

Author

Sodeke, Stephen, primary, Fletcher, Faith E., additional, Brown, Virginia A., additional, Stone, John R., additional, Wilson, Cynthia B., additional, Franklin, Tené Hamilton, additional, Royal, Charmaine D. M., additional, and Bonham, Vence L., additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results