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Featured researches published by Ebony Madden.


BMC Medical Genomics | 2015

The IGNITE network: a model for genomic medicine implementation and research

Kristin Weitzel; Madeline Alexander; Barbara A. Bernhardt; Neil S. Calman; David J. Carey; Larisa H. Cavallari; Julie R. Field; Diane Hauser; Heather A. Junkins; Phillip A. Levin; Kenneth D. Levy; Ebony Madden; Teri A. Manolio; Jacqueline Odgis; Lori A. Orlando; Reed E. Pyeritz; R. Ryanne Wu; Alan R. Shuldiner; Erwin P. Bottinger; Joshua C. Denny; Paul R. Dexter; David A. Flockhart; Carol R. Horowitz; Julie A. Johnson; Stephen E. Kimmel; Mia A. Levy; Toni I. Pollin; Geoffrey S. Ginsburg

BackgroundPatients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility.MethodsTo address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches.ResultsThis paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years.ConclusionsThe IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.


The Hugo Journal | 2015

Addressing ethical issues in H3Africa research – the views of research ethics committee members

Jantina de Vries; Akin Abayomi; Katherine Littler; Ebony Madden; Sheryl A. McCurdy; Odile Ouwe Missi Oukem-Boyer; Janet Seeley; Ciara Staunton; Godfrey B. Tangwa; Paulina Tindana; Jennifer L. Troyer

In June 2014, the H3Africa Working Group on Ethics organised a workshop with members of over 40 research ethics committees from across Africa to discuss the ethical challenges raised in H3Africa research, and to receive input on the proposed H3Africa governance framework. Prominent amongst a myriad of ethical issues raised by meeting participants were concerns over consent for future use of samples and data, the role of community engagement in large international collaborative projects, and particular features of the governance of sample sharing. This report describes these concerns in detail and will be informative to researchers wishing to conduct genomic research on diseases pertinent to the African research context.


BMC Medical Genomics | 2017

Challenges and strategies for implementing genomic services in diverse settings: experiences from the Implementing GeNomics In pracTicE (IGNITE) network

Nina R. Sperber; Janet S. Carpenter; Larisa H. Cavallari; Laura J. Damschroder; Rhonda M. Cooper-DeHoff; Joshua C. Denny; Geoffrey S. Ginsburg; Yue Guan; Carol R. Horowitz; Kenneth D. Levy; Mia A. Levy; Ebony Madden; Michael E. Matheny; Toni I. Pollin; Victoria M. Pratt; Marc B. Rosenman; Corrine I. Voils; Kristen W. Weitzel; Russell A. Wilke; R. Ryanne Wu; Lori A. Orlando

BackgroundTo realize potential public health benefits from genetic and genomic innovations, understanding how best to implement the innovations into clinical care is important. The objective of this study was to synthesize data on challenges identified by six diverse projects that are part of a National Human Genome Research Institute (NHGRI)-funded network focused on implementing genomics into practice and strategies to overcome these challenges.MethodsWe used a multiple-case study approach with each project considered as a case and qualitative methods to elicit and describe themes related to implementation challenges and strategies. We describe challenges and strategies in an implementation framework and typology to enable consistent definitions and cross-case comparisons. Strategies were linked to challenges based on expert review and shared themes.ResultsThree challenges were identified by all six projects, and strategies to address these challenges varied across the projects. One common challenge was to increase the relative priority of integrating genomics within the health system electronic health record (EHR). Four projects used data warehousing techniques to accomplish the integration. The second common challenge was to strengthen clinicians’ knowledge and beliefs about genomic medicine. To overcome this challenge, all projects developed educational materials and conducted meetings and outreach focused on genomic education for clinicians. The third challenge was engaging patients in the genomic medicine projects. Strategies to overcome this challenge included use of mass media to spread the word, actively involving patients in implementation (e.g., a patient advisory board), and preparing patients to be active participants in their healthcare decisions.ConclusionsThis is the first collaborative evaluation focusing on the description of genomic medicine innovations implemented in multiple real-world clinical settings. Findings suggest that strategies to facilitate integration of genomic data within existing EHRs and educate stakeholders about the value of genomic services are considered important for effective implementation. Future work could build on these findings to evaluate which strategies are optimal under what conditions. This information will be useful for guiding translation of discoveries to clinical care, which, in turn, can provide data to inform continual improvement of genomic innovations and their applications.


Frontiers in Public Health | 2014

Genetic Associations with Plasma B12, B6, and Folate Levels in an Ischemic Stroke Population from the Vitamin Intervention for Stroke Prevention (VISP) Trial

Keith L. Keene; Wei-Min Chen; Fang Chen; Stephen R. Williams; Stacey D Elkhatib; Fang-Chi Hsu; Josyf C. Mychaleckyj; Kimberley F. Doheny; Elizabeth W. Pugh; Hua Ling; Cathy C. Laurie; Stephanie M. Gogarten; Ebony Madden; Bradford B. Worrall; Michèle M. Sale

Background: B vitamins play an important role in homocysteine metabolism, with vitamin deficiencies resulting in increased levels of homocysteine and increased risk for stroke. We performed a genome-wide association study (GWAS) in 2,100 stroke patients from the Vitamin Intervention for Stroke Prevention (VISP) trial, a clinical trial designed to determine whether the daily intake of high-dose folic acid, vitamins B6, and B12 reduce recurrent cerebral infarction. Methods: Extensive quality control (QC) measures resulted in a total of 737,081 SNPs for analysis. Genome-wide association analyses for baseline quantitative measures of folate, Vitamins B12, and B6 were completed using linear regression approaches, implemented in PLINK. Results: Six associations met or exceeded genome-wide significance (P ≤ 5 × 10−08). For baseline Vitamin B12, the strongest association was observed with a non-synonymous SNP (nsSNP) located in the CUBN gene (P = 1.76 × 10−13). Two additional CUBN intronic SNPs demonstrated strong associations with B12 (P = 2.92 × 10−10 and 4.11 × 10−10), while a second nsSNP, located in the TCN1 gene, also reached genome-wide significance (P = 5.14 × 10−11). For baseline measures of Vitamin B6, we identified genome-wide significant associations for SNPs at the ALPL locus (rs1697421; P = 7.06 × 10−10 and rs1780316; P = 2.25 × 10−08). In addition to the six genome-wide significant associations, nine SNPs (two for Vitamin B6, six for Vitamin B12, and one for folate measures) provided suggestive evidence for association (P ≤ 10−07). Conclusion: Our GWAS study has identified six genome-wide significant associations, nine suggestive associations, and successfully replicated 5 of 16 SNPs previously reported to be associated with measures of B vitamins. The six genome-wide significant associations are located in gene regions that have shown previous associations with measures of B vitamins; however, four of the nine suggestive associations represent novel finding and warrant further investigation in additional populations.


Neurology | 2016

Shared genetic susceptibility of vascular-related biomarkers with ischemic and recurrent stroke

Stephen R. Williams; Fang-Chi Hsu; Keith L. Keene; Wei-Min Chen; Sarah Bird Nelson; Andrew M. Southerland; Ebony Madden; Bruce M. Coull; Stephanie M. Gogarten; Karen L. Furie; Godfrey Dzhivhuho; Joe L. Rowles; Prachi Mehndiratta; Rainer Malik; Josée Dupuis; Honghuang Lin; Sudha Seshadri; Stephen S. Rich; Michèle M. Sale; Bradford B. Worrall

Objective: To investigate the genetic contributors to cerebrovascular disease and variation in biomarkers of ischemic stroke. Methods: The Vitamin Intervention for Stroke Prevention Trial (VISP) was a randomized, controlled clinical trial of B vitamin supplementation to prevent recurrent stroke, myocardial infarction, or death. VISP collected baseline measures of C-reactive protein (CRP), fibrinogen, creatinine, prothrombin fragments F1+2, thrombin-antithrombin complex, and thrombomodulin prior to treatment initiation. Genome-wide association scans were conducted for these traits and follow-up replication analyses were performed. Results: We detected an association between CRP single nucleotide polymorphisms (SNPs) and circulating CRP levels (most associated SNP, rs2592902, p = 1.14 × 10−9) in 2,100 VISP participants. We discovered a novel association for CRP level in the AKR1D1 locus (rs2589998, p = 7.3 × 10−8, approaching genome-wide significance) that also is an expression quantitative trait locus for CRP gene expression. We replicated previously identified associations of fibrinogen with SNPs in the FGB and LEPR loci. CRP-associated SNPs and CRP levels were significantly associated with risk of ischemic stroke and recurrent stroke in VISP as well as specific stroke subtypes in METASTROKE. Fibrinogen levels but not fibrinogen-associated SNPs were also found to be associated with recurrent stroke in VISP. Conclusions: Our data identify a genetic contribution to inflammatory and hemostatic biomarkers in a stroke population. Additionally, our results suggest shared genetic contributions to circulating CRP levels measured poststroke and risk for incident and recurrent ischemic stroke. These data broaden our understanding of genetic contributors to biomarker variation and ischemic stroke risk, which should be useful in clinical risk evaluation.


BMC Medical Ethics | 2014

A perpetual source of DNA or something really different: ethical issues in the creation of cell lines for African genomics research

Jantina de Vries; Akin Abayomi; James Brandful; Katherine Littler; Ebony Madden; Patricia A. Marshall; Odile Ouwe Missi Oukem-Boyer; Janet Seeley

BackgroundThe rise of genomic studies in Africa – not least due to projects funded under H3Africa – is associated with the development of a small number of biorepositories across Africa. For the ultimate success of these biorepositories, the creation of cell lines including those from selected H3Africa samples would be beneficial. In this paper, we map ethical challenges in the creation of cell lines.DiscussionThe first challenge we identified relates to the moral status of cells living in culture. There is no doubt that cells in culture are alive, and the question is how this characteristic is relevant to ethical decision-making. The second challenge relates to the fact that cells in culture are a source of cell products and mitochondrial DNA. In combination with other technologies, cells in culture could also be used to grow human tissue. Whilst on the one hand, this feature increases the potential utility of the sample and promotes science, on the other it also enables further scientific work that may not have been specifically consented to or approved. The third challenge relates to ownership over samples, particularly in cases where cell lines are created by a biobank, and in a different country than where samples were collected. Relevant questions here concern the export of samples, approval of secondary use and the acceptability of commercialisation. A fourth challenge relates to perceptions of blood and bodily integrity, which may be particularly relevant for African research participants from certain cultures or backgrounds. Finally, we discuss challenges around informed consent and ethical review.SummaryIn this paper, we sought to map the myriad of ethical challenges that need to be considered prior to making cell line creation a reality in the H3Africa project. Considering the relative novelty of this practice in Africa, such challenges will need to be considered, discussed and potentially be resolved before cell line creation in Africa becomes financially feasible and sustainable. We suggest that discussions need to be undertaken between stakeholders internationally, considering the international character of the H3Africa project. We also map out avenues for empirical research.


Genetics in Medicine | 2018

Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group

Lori A. Orlando; Nina R. Sperber; Corrine I. Voils; Marshall Nichols; Rachel A. Myers; R. Ryanne Wu; Tejinder Rakhra-Burris; Kenneth D. Levy; Mia A. Levy; Toni I. Pollin; Yue Guan; Carol R. Horowitz; Michelle A. Ramos; Stephen E. Kimmel; Caitrin W. McDonough; Ebony Madden; Laura J. Damschroder

PurposeImplementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing Genomics in Practice (IGNITE) Network’s efforts to promote (i) a broader understanding of genomic medicine implementation research and (ii) the sharing of knowledge generated in the network.MethodsTo facilitate this goal, the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide its approach to identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross-network analyses.ResultsCMG identified 10 high-priority CFIR constructs as important for genomic medicine. Of those, eight did not have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model.ConclusionWe developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field.


Genetics in Medicine | 2018

Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network

Kenneth D. Levy; Kathryn Blake; Colette Fletcher-Hoppe; James P. Franciosi; Diasuke Goto; James K. Hicks; Ann M. Holmes; Sri H. Kanuri; Ebony Madden; Michael Musty; Lori A. Orlando; Victoria M. Pratt; Michelle A. Ramos; R. Ryanne Wu; Geoffrey S. Ginsburg

PurposeWhile there is growing scientific evidence for and significant advances in the use of genomic technologies in medicine, there is a significant lag in the clinical adoption and sustainability of genomic medicine. Here we describe the findings from the National Human Genome Research Institute’s (NHGRI) Implementing GeNomics In pracTicE (IGNITE) Network in identifying key constructs, opportunities, and challenges associated with driving sustainability of genomic medicine in clinical practice.MethodsNetwork members and affiliates were surveyed to identify key drivers associated with implementing and sustaining a genomic medicine program. Tallied results were used to develop and weigh key constructs/drivers required to support sustainability of genomic medicine programs.ResultsThe top three driver–stakeholder dyads were (1) genomic training for providers, (2) genomic clinical decision support (CDS) tools embedded in the electronic health record (EHR), and (3) third party reimbursement for genomic testing.ConclusionPriorities may differ depending on healthcare systems when comparing the current state of key drivers versus projected needs for supporting genomic medicine sustainability. Thus we provide gap-filling guidance based on IGNITE members’ experiences. Although results are limited to findings from the IGNITE network, their implementation, scientific, and clinical experience may be used as a road map by others considering implementing genomic medicine programs.


AAS Open Research | 2018

Model framework for governance of genomic research and biobanking in Africa – a content description

Aminu Yakubu; Paulina Tindana; Alice Matimba; Katherine Littler; Nchangwi Syntia Munung; Ebony Madden; Ciara Staunton; Jantina de Vries

Genomic research and biobanking are expanding globally, with a promise to fast-track the research needed to improve approaches to disease treatment and prevention through scientific collaborations such as the Human Heredity and Health in Africa (H3Africa) initiative. Integral to this type of research is the availability of samples and data for research. The need for broad access brings along a host of ethical concerns, including those related to privacy and confidentiality, as well as fairness and equity in access and capacity to utilise these samples between scientists from the high income and low income countries. Addressing these concerns while promoting genomic research, especially in Africa, requires the implementation of a sound governance framework. In this paper, we describe the contents of a Framework for Best Practice for Genomics Research and biobanking in Africa that was developed, under the auspices of the H3Africa initiative. This framework is broad enough to be used and adapted by African countries to facilitate the development of country-specific guidelines and to help improve the conduct and governance of genomics research.


PMC | 2018

Developing a Common Framework for Evaluating the Implementation of Genomic Medicine Interventions in Clinical Care: The IGNITE Network’s Common Measures Working Group

Lori A. Orlando; Nina R. Sperber; Corrine I. Voils; Marshall Nichols; Rachel A. Myers; R. Ryanne Wu; Tejinder Rakhra-Burris; Kenneth D. Levy; Mia A. Levy; Toni I. Pollin; Yue Guan; Carol R. Horowitz; Michelle A. Ramos; Stephen E. Kimmel; Caitrin W. McDonough; Ebony Madden; Laura J. Damschroder

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Carol R. Horowitz

Icahn School of Medicine at Mount Sinai

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Corrine I. Voils

University of Wisconsin-Madison

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Michelle A. Ramos

Icahn School of Medicine at Mount Sinai

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