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Dive into the research topics where Sheri D. Schully is active.

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Featured researches published by Sheri D. Schully.


Circulation-cardiovascular Genetics | 2010

Ethical and Practical Guidelines for Reporting Genetic Research Results to Study Participants: Updated Guidelines From a National Heart, Lung, and Blood Institute Working Group

Richard R. Fabsitz; Amy L. McGuire; Richard R. Sharp; Mona A. Puggal; Laura M. Beskow; Leslie G. Biesecker; Ebony Bookman; Wylie Burke; Esteban G. Burchard; George M. Church; Ellen Wright Clayton; John H. Eckfeldt; Conrad V. Fernandez; Rebecca Fisher; Stephanie M. Fullerton; Stacey Gabriel; Francine C. Gachupin; Cynthia A. James; Gail P. Jarvik; Rick A. Kittles; Jennifer R. Leib; Christopher J. O'Donnell; P. Pearl O'Rourke; Laura Lyman Rodriguez; Sheri D. Schully; Alan R. Shuldiner; Rebecca K.F. Sze; Joseph V. Thakuria; Susan M. Wolf; Gregory L. Burke

In January 2009, the National Heart, Lung, and Blood Institute convened a 28-member multidisciplinary Working Group to update the recommendations of a 2004 National Heart, Lung, and Blood Institute Working Group focused on Guidelines to the Return of Genetic Research Results. Changes in the genetic and societal landscape over the intervening 5 years raise multiple questions and challenges. The group noted the complex issues arising from the fact that technological and bioinformatic progress has made it possible to obtain considerable information on individuals that would not have been possible a decade ago. Although unable to reach consensus on a number of issues, the working group produced 5 recommendations. The working group offers 2 recommendations addressing the criteria necessary to determine when genetic results should and may be returned to study participants, respectively. In addition, it suggests that a time limit be established to limit the duration of obligation of investigators to return genetic research results. The group recommends the creation of a central body, or bodies, to provide guidance on when genetic research results are associated with sufficient risk and have established clinical utility to justify their return to study participants. The final recommendation urges investigators to engage the broader community when dealing with identifiable communities to advise them on the return of aggregate and individual research results. Creation of an entity charged to provide guidance to institutional review boards, investigators, research institutions, and research sponsors would provide rigorous review of available data, promote standardization of study policies regarding return of genetic research results, and enable investigators and study participants to clarify and share expectations for the handling of this increasingly valuable information with appropriate respect for the rights and needs of participants.


Genetics in Medicine | 2009

The Scientific Foundation for Personal Genomics: Recommendations from a National Institutes of Health–Centers for Disease Control and Prevention Multidisciplinary Workshop

Muin J. Khoury; Colleen M. McBride; Sheri D. Schully; John P. A. Ioannidis; W. Gregory Feero; A. Cecile J. W. Janssens; Marta Gwinn; Denise G. Simons-Morton; Jay M. Bernhardt; Michele Cargill; Stephen J. Chanock; George M. Church; Ralph J. Coates; Francis S. Collins; Robert T. Croyle; Barry R. Davis; Gregory J. Downing; Amy Duross; Susan Friedman; Mitchell H. Gail; Geoffrey S. Ginsburg; Robert C. Green; Mark H. Greene; Philip Greenland; Jeffrey R. Gulcher; Andro Hsu; Kathy Hudson; Sharon L.R. Kardia; Paul L. Kimmel; Michael S. Lauer

The increasing availability of personal genomic tests has led to discussions about the validity and utility of such tests and the balance of benefits and harms. A multidisciplinary workshop was convened by the National Institutes of Health and the Centers for Disease Control and Prevention to review the scientific foundation for using personal genomics in risk assessment and disease prevention and to develop recommendations for targeted research. The clinical validity and utility of personal genomics is a moving target with rapidly developing discoveries but little translation research to close the gap between discoveries and health impact. Workshop participants made recommendations in five domains: (1) developing and applying scientific standards for assessing personal genomic tests; (2) developing and applying a multidisciplinary research agenda, including observational studies and clinical trials to fill knowledge gaps in clinical validity and utility; (3) enhancing credible knowledge synthesis and information dissemination to clinicians and consumers; (4) linking scientific findings to evidence-based recommendations for use of personal genomics; and (5) assessing how the concept of personal utility can affect health benefits, costs, and risks by developing appropriate metrics for evaluation. To fulfill the promise of personal genomics, a rigorous multidisciplinary research agenda is needed.


PLOS Biology | 2016

Reproducible Research Practices and Transparency across the Biomedical Literature.

Shareen Iqbal; Joshua D. Wallach; Muin J. Khoury; Sheri D. Schully; John P. A. Ioannidis

There is a growing movement to encourage reproducibility and transparency practices in the scientific community, including public access to raw data and protocols, the conduct of replication studies, systematic integration of evidence in systematic reviews, and the documentation of funding and potential conflicts of interest. In this survey, we assessed the current status of reproducibility and transparency addressing these indicators in a random sample of 441 biomedical journal articles published in 2000–2014. Only one study provided a full protocol and none made all raw data directly available. Replication studies were rare (n = 4), and only 16 studies had their data included in a subsequent systematic review or meta-analysis. The majority of studies did not mention anything about funding or conflicts of interest. The percentage of articles with no statement of conflict decreased substantially between 2000 and 2014 (94.4% in 2000 to 34.6% in 2014); the percentage of articles reporting statements of conflicts (0% in 2000, 15.4% in 2014) or no conflicts (5.6% in 2000, 50.0% in 2014) increased. Articles published in journals in the clinical medicine category versus other fields were almost twice as likely to not include any information on funding and to have private funding. This study provides baseline data to compare future progress in improving these indicators in the scientific literature.


Cancer Epidemiology, Biomarkers & Prevention | 2013

Transforming Epidemiology for 21st Century Medicine and Public Health

Muin J. Khoury; Tram Kim Lam; John P. A. Ioannidis; Patricia Hartge; Margaret R. Spitz; Julie E. Buring; Stephen J. Chanock; Robert T. Croyle; Katrina A.B. Goddard; Geoffrey S. Ginsburg; Zdenko Herceg; Robert A. Hiatt; Robert N. Hoover; David J. Hunter; Barnet S. Kramer; Michael S. Lauer; Jeffrey A. Meyerhardt; Olufunmilayo I. Olopade; Julie R. Palmer; Thomas A. Sellers; Daniela Seminara; David F. Ransohoff; Timothy R. Rebbeck; Georgia D. Tourassi; Deborah M. Winn; Ann G. Zauber; Sheri D. Schully

In 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving toward more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and accelerate translation; (iii) expanding cohort studies to collect exposure, clinical, and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating “big data” science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy, and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology, in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits. Cancer Epidemiol Biomarkers Prev; 22(4); 508–16. ©2013 AACR.


Genetics in Medicine | 2011

Implementing screening for Lynch syndrome among patients with newly diagnosed colorectal cancer: summary of a public health/clinical collaborative meeting

Cecelia A. Bellcross; Sara Bedrosian; Elvan Daniels; Debra Duquette; Heather Hampel; Kory Jasperson; Djenaba A. Joseph; Celia I. Kaye; Ira M. Lubin; Laurence J. Meyer; Michele Reyes; Maren T. Scheuner; Sheri D. Schully; Leigha Senter; Sherri L. Stewart; Jeanette St. Pierre; Judith A. Westman; Paul E. Wise; Vincent W. Yang; Muin J. Khoury

Lynch syndrome is the most common cause of inherited colorectal cancer, accounting for approximately 3% of all colorectal cancer cases in the United States. In 2009, an evidence-based review process conducted by the independent Evaluation of Genomic Applications in Practice and Prevention Working Group resulted in a recommendation to offer genetic testing for Lynch syndrome to all individuals with newly diagnosed colorectal cancer, with the intent of reducing morbidity and mortality in family members. To explore issues surrounding implementation of this recommendation, the Centers for Disease Control and Prevention convened a multidisciplinary working group meeting in September 2010. This article reviews background information regarding screening for Lynch syndrome and summarizes existing clinical paradigms, potential implementation strategies, and conclusions which emerged from the meeting. It was recognized that widespread implementation will present substantial challenges, and additional data from pilot studies will be needed. However, evidence of feasibility and population health benefits and the advantages of considering a public health approach were acknowledged. Lynch syndrome can potentially serve as a model to facilitate the development and implementation of population-level programs for evidence-based genomic medicine applications involving follow-up testing of at-risk relatives. Such endeavors will require multilevel and multidisciplinary approaches building on collaborative public health and clinical partnerships.Genet Med 2012:14(1):152–162


European Journal of Human Genetics | 2014

A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes.

Christine Q. Chang; Ajay Yesupriya; Jessica L. Rowell; Camilla B. Pimentel; Melinda Clyne; Marta Gwinn; Muin J. Khoury; Anja Wulf; Sheri D. Schully

Candidate gene and genome-wide association studies (GWAS) represent two complementary approaches to uncovering genetic contributions to common diseases. We systematically reviewed the contributions of these approaches to our knowledge of genetic associations with cancer risk by analyzing the data in the Cancer Genome-wide Association and Meta Analyses database (Cancer GAMAdb). The database catalogs studies published since January 1, 2000, by study and cancer type. In all, we found that meta-analyses and pooled analyses of candidate genes reported 349 statistically significant associations and GWAS reported 269, for a total of 577 unique associations. Only 41 (7.1%) associations were reported in both candidate gene meta-analyses and GWAS, usually with similar effect sizes. When considering only noteworthy associations (defined as those with false-positive report probabilities ≤0.2) and accounting for indirect overlap, we found 202 associations, with 27 of those appearing in both meta-analyses and GWAS. Our findings suggest that meta-analyses of well-conducted candidate gene studies may continue to add to our understanding of the genetic associations in the post-GWAS era.


Cancer Epidemiology, Biomarkers & Prevention | 2011

Population Sciences, Translational Research, and the Opportunities and Challenges for Genomics to Reduce the Burden of Cancer in the 21st Century

Muin J. Khoury; Steven B. Clauser; Andrew N. Freedman; Elizabeth M. Gillanders; Russ E. Glasgow; William M. P. Klein; Sheri D. Schully

Advances in genomics and related fields are promising tools for risk assessment, early detection, and targeted therapies across the entire cancer care continuum. In this commentary, we submit that this promise cannot be fulfilled without an enhanced translational genomics research agenda firmly rooted in the population sciences. Population sciences include multiple disciplines that are needed throughout the translational research continuum. For example, epidemiologic studies are needed not only to accelerate genomic discoveries and new biological insights into cancer etiology and pathogenesis, but to characterize and critically evaluate these discoveries in well-defined populations for their potential for cancer prediction, prevention and response to treatment. Behavioral, social, and communication sciences are needed to explore genomic-modulated responses to old and new behavioral interventions, adherence to therapies, decision making across the continuum, and effective use in health care. Implementation science, health services, outcomes research, comparative effectiveness research, and regulatory science are needed for moving validated genomic applications into practice and for measuring their effectiveness, cost-effectiveness, and unintended consequences. Knowledge synthesis, evidence reviews, and economic modeling of the effects of promising genomic applications will facilitate policy decisions and evidence-based recommendations. Several independent and multidisciplinary panels have recently made specific recommendations for enhanced research and policy infrastructure to inform clinical and population research for moving genomic innovations into the cancer care continuum. An enhanced translational genomics and population sciences agenda is urgently needed to fulfill the promise of genomics in reducing the burden of cancer. Cancer Epidemiol Biomarkers Prev; 20(10); 2105–14. ©2011 AACR.


Cancer Epidemiology, Biomarkers & Prevention | 2013

“Drivers” of Translational Cancer Epidemiology in the 21st Century: Needs and Opportunities

Tram Kim Lam; Margaret R. Spitz; Sheri D. Schully; Muin J. Khoury

Cancer epidemiology is at the cusp of a paradigm shift—propelled by an urgent need to accelerate the pace of translating scientific discoveries into health care and population health benefits. As part of a strategic planning process for cancer epidemiologic research, the Epidemiology and Genomics Research Program (EGRP) at the National Cancer Institute (NCI) is leading a “longitudinal” meeting with members of the research community to engage in an on-going dialogue to help shape and invigorate the field. Here, we review a translational framework influenced by “drivers” that we believe have begun guiding cancer epidemiology toward translation in the past few years and are most likely to drive the field further in the next decade. The drivers include: (i) collaboration and team science, (ii) technology, (iii) multilevel analyses and interventions, and (iv) knowledge integration from basic, clinical, and population sciences. Using the global prevention of cervical cancer as an example of a public health endeavor to anchor the conversation, we discuss how these drivers can guide epidemiology from discovery to population health impact, along the translational research continuum. Cancer Epidemiol Biomarkers Prev; 22(2); 181–8. ©2013 AACR.


European Journal of Clinical Investigation | 2011

Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration

A. Cecile J. W. Janssens; John P. A. Ioannidis; Sara Bedrosian; Paolo Boffetta; Siobhan M. Dolan; Nicole F. Dowling; Isabel Fortier; Andrew N. Freedman; Jeremy Grimshaw; Jeffrey R. Gulcher; Marta Gwinn; Mark A. Hlatky; Holly Janes; Peter Kraft; Stephanie Melillo; Christopher J. O’Donnell; Michael J. Pencina; David F. Ransohoff; Sheri D. Schully; Daniela Seminara; Deborah M. Winn; Caroline F. Wright; Cornelia van Duijn; Julian Little; Muin J. Khoury

Eur J Clin Invest 2011; 41 (9): 1010–1035


Journal of The National Cancer Institute Monographs | 2012

Multilevel Research and the Challenges of Implementing Genomic Medicine

Muin J. Khoury; Ralph J. Coates; Mary L. Fennell; Russell E. Glasgow; Maren T. Scheuner; Sheri D. Schully; Marc S. Williams; Steven B. Clauser

Advances in genomics and related fields promise a new era of personalized medicine in the cancer care continuum. Nevertheless, there are fundamental challenges in integrating genomic medicine into cancer practice. We explore how multilevel research can contribute to implementation of genomic medicine. We first review the rapidly developing scientific discoveries in this field and the paucity of current applications that are ready for implementation in clinical and public health programs. We then define a multidisciplinary translational research agenda for successful integration of genomic medicine into policy and practice and consider challenges for successful implementation. We illustrate the agenda using the example of Lynch syndrome testing in newly diagnosed cases of colorectal cancer and cascade testing in relatives. We synthesize existing information in a framework for future multilevel research for integrating genomic medicine into the cancer care continuum.

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Muin J. Khoury

Centers for Disease Control and Prevention

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Tram Kim Lam

National Institutes of Health

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Andrew N. Freedman

National Institutes of Health

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Christine Q. Chang

National Institutes of Health

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Leah E. Mechanic

National Institutes of Health

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Marta Gwinn

Centers for Disease Control and Prevention

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