71 results on '"Warren HE"'
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2. Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts.
- Author
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Raymond Cheng 0001, Fan Zhang 0022, Jernej Kos, Warren He, Nicholas Hynes 0001, Noah M. Johnson, Ari Juels, Andrew Miller 0001, and Dawn Song
- Published
- 2019
- Full Text
- View/download PDF
3. The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts.
- Author
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Fan Zhang 0022, Warren He, Raymond Cheng 0001, Jernej Kos, Nicholas Hynes 0001, Noah M. Johnson, Ari Juels, Andrew Miller 0001, and Dawn Song
- Published
- 2020
- Full Text
- View/download PDF
4. Generating Adversarial Examples with Adversarial Networks.
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Chaowei Xiao, Bo Li 0026, Jun-Yan Zhu, Warren He, Mingyan Liu, and Dawn Song
- Published
- 2018
- Full Text
- View/download PDF
5. Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms.
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Arjun Nitin Bhagoji, Warren He, Bo Li 0026, and Dawn Song
- Published
- 2018
- Full Text
- View/download PDF
6. Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries.
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Gonzalo Munilla Garrido, Joseph P. Near, Aitsam Muhammad, Warren He, Roman Matzutt, and Florian Matthes
- Published
- 2021
7. Cracking ShadowCrypt: Exploring the Limitations of Secure I/O Systems in Internet Browsers.
- Author
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Michael Freyberger, Warren He, Devdatta Akhawe, Michelle L. Mazurek, and Prateek Mittal
- Published
- 2018
- Full Text
- View/download PDF
8. Unified Power Frequency Model Framework.
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Sriram Sundaram, Warren He, Sriram Sambamurthy, Aaron Grenat, Steven Liepe, and Samuel Naffziger
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- 2016
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9. Proof of Luck: an Efficient Blockchain Consensus Protocol.
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Mitar Milutinovic, Warren He, Howard Wu, and Maxinder Kanwal
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- 2016
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10. Decision Boundary Analysis of Adversarial Examples.
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Warren He, Bo Li 0026, and Dawn Song
- Published
- 2018
11. Spatially Transformed Adversarial Examples.
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Chaowei Xiao, Jun-Yan Zhu, Bo Li 0026, Warren He, Mingyan Liu, and Dawn Song
- Published
- 2018
12. Black-box Attacks on Deep Neural Networks via Gradient Estimation.
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Arjun Nitin Bhagoji, Warren He, Bo Li 0026, and Dawn Song
- Published
- 2018
13. Characterizing Attacks on Deep Reinforcement Learning.
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Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng 0001, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li 0026, and Dawn Song
- Published
- 2019
14. Adversarial Example Defense: Ensembles of Weak Defenses are not Strong.
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Warren He, James Wei, Xinyun Chen, Nicholas Carlini, and Dawn Song
- Published
- 2017
15. The Emperor's New Password Manager: Security Analysis of Web-based Password Managers.
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Zhiwei Li, Warren He, Devdatta Akhawe, and Dawn Song
- Published
- 2014
16. ShadowCrypt: Encrypted Web Applications for Everyone.
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Warren He, Devdatta Akhawe, Sumeet Jain, Elaine Shi, and Dawn Xiaodong Song
- Published
- 2014
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- View/download PDF
17. Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution.
- Author
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Raymond Cheng 0001, Fan Zhang 0022, Jernej Kos, Warren He, Nicholas Hynes 0001, Noah M. Johnson, Ari Juels, Andrew Miller 0001, and Dawn Song
- Published
- 2018
18. Data-Confined HTML5 Applications.
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Devdatta Akhawe, Frank Li 0001, Warren He, Prateek Saxena, and Dawn Song
- Published
- 2013
- Full Text
- View/download PDF
19. Reducing attack surfaces for intra-application communication in android.
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David Kantola, Erika Chin, Warren He, and David A. Wagner 0001
- Published
- 2012
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20. Exploring the Space of Black-box Attacks on Deep Neural Networks.
- Author
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Arjun Nitin Bhagoji, Warren He, Bo Li 0026, and Dawn Song
- Published
- 2017
21. Proof of Luck: an Efficient Blockchain Consensus Protocol.
- Author
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Mitar Milutinovic, Warren He, Howard Wu, and Maxinder Kanwal
- Published
- 2017
22. ASPIRE: Iterative Specification Synthesis for Security.
- Author
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Kevin Zhijie Chen, Warren He, Devdatta Akhawe, Vijay D'Silva, Prateek Mittal, and Dawn Song
- Published
- 2015
23. Clickjacking Revisited: A Perceptual View of UI Security.
- Author
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Devdatta Akhawe, Warren He, Zhiwei Li, Reza Moazzezi, and Dawn Song
- Published
- 2014
24. The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts
- Author
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Warren He, Dawn Song, Ari Juels, Raymond Cheng, Fan Zhang, Jernej Kos, Noah R. Johnson, Nicholas Hynes, and Andrew Miller
- Subjects
Trustworthiness ,Blockchain ,Computer Networks and Communications ,business.industry ,Computer science ,Cryptography ,Confidentiality ,Electrical and Electronic Engineering ,business ,Computer security ,computer.software_genre ,Law ,computer - Abstract
Although smart contracts inherit the availability and other security assurances of the blockchain, they are impeded by lack of confidentiality and poor performance. We present Ekiden, a system that aims to close these critical gaps by combining the blockchain with trusted execution environments.
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- 2020
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25. Cracking ShadowCrypt: Exploring the Limitations of Secure I/O Systems in Internet Browsers
- Author
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Warren He, Devdatta Akhawe, Michelle L. Mazurek, Michael Freyberger, and Prateek Mittal
- Subjects
Ethics ,business.industry ,Computer science ,Information technology ,QA75.5-76.95 ,02 engineering and technology ,BJ1-1725 ,World Wide Web ,Cracking ,Electronic computers. Computer science ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,General Earth and Planetary Sciences ,020201 artificial intelligence & image processing ,The Internet ,business ,General Environmental Science - Abstract
An important line of privacy research is investigating the design of systems for secure input and output (I/O) within Internet browsers. These systems would allow for users’ information to be encrypted and decrypted by the browser, and the specific web applications will only have access to the users’ information in encrypted form. The state-of-the-art approach for a secure I/O system within Internet browsers is a system called ShadowCrypt created by UC Berkeley researchers [23]. This paper will explore the limitations of ShadowCrypt in order to provide a foundation for the general principles that must be followed when designing a secure I/O system within Internet browsers. First, we developed a comprehensive UI attack that cannot be mitigated with popular UI defenses, and tested the efficacy of the attack through a user study administered on Amazon Mechanical Turk. Only 1 of the 59 participants who were under attack successfully noticed the UI attack, which validates the stealthiness of the attack. Second, we present multiple attack vectors against Shadow-Crypt that do not rely upon UI deception. These attack vectors expose the privacy weaknesses of Shadow DOM—the key browser primitive leveraged by ShadowCrypt. Finally, we present a sketch of potential countermeasures that can enable the design of future secure I/O systems within Internet browsers.
- Published
- 2018
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26. Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts
- Author
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Ari Juels, Jernej Kos, Dawn Song, Raymond Cheng, Noah R. Johnson, Fan Zhang, Nicholas Hynes, Warren He, and Andrew Miller
- Subjects
FOS: Computer and information sciences ,Computer Science - Cryptography and Security ,Trusted hardware ,Computer science ,020206 networking & telecommunications ,Throughput ,02 engineering and technology ,Computer security ,computer.software_genre ,Trustworthiness ,Software deployment ,Scalability ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Confidentiality ,Architecture ,Cryptography and Security (cs.CR) ,computer - Abstract
Smart contracts are applications that execute on blockchains. Today they manage billions of dollars in value and motivate visionary plans for pervasive blockchain deployment. While smart contracts inherit the availability and other security assurances of blockchains, however, they are impeded by blockchains' lack of confidentiality and poor performance. We present Ekiden, a system that addresses these critical gaps by combining blockchains with Trusted Execution Environments (TEEs). Ekiden leverages a novel architecture that separates consensus from execution, enabling efficient TEE-backed confidentiality-preserving smart-contracts and high scalability. Our prototype (with Tendermint as the consensus layer) achieves example performance of 600x more throughput and 400x less latency at 1000x less cost than the Ethereum mainnet. Another contribution of this paper is that we systematically identify and treat the pitfalls arising from harmonizing TEEs and blockchains. Treated separately, both TEEs and blockchains provide powerful guarantees, but hybridized, though, they engender new attacks. For example, in naive designs, privacy in TEE-backed contracts can be jeopardized by forgery of blocks, a seemingly unrelated attack vector. We believe the insights learned from Ekiden will prove to be of broad importance in hybridized TEE-blockchain systems.
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- 2019
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27. Generating Adversarial Examples with Adversarial Networks
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Mingyan Liu, Dawn Song, Bo Li, Jun-Yan Zhu, Chaowei Xiao, and Warren He
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021110 strategic, defence & security studies ,business.industry ,Computer science ,media_common.quotation_subject ,0211 other engineering and technologies ,02 engineering and technology ,Machine learning ,computer.software_genre ,Adversarial system ,0202 electrical engineering, electronic engineering, information engineering ,Deep neural networks ,020201 artificial intelligence & image processing ,Quality (business) ,Artificial intelligence ,business ,computer ,MNIST database ,media_common ,Generator (mathematics) - Abstract
Deep neural networks (DNNs) have been found to be vulnerable to adversarial examples resulting from adding small-magnitude perturbations to inputs. Such adversarial examples can mislead DNNs to produce adversary-selected results. Different attack strategies have been proposed to generate adversarial examples, but how to produce them with high perceptual quality and more efficiently requires more research efforts. In this paper, we propose AdvGAN to generate adversarial exam- ples with generative adversarial networks (GANs), which can learn and approximate the distribution of original instances. For AdvGAN, once the generator is trained, it can generate perturbations efficiently for any instance, so as to potentially accelerate adversarial training as defenses. We apply Adv- GAN in both semi-whitebox and black-box attack settings. In semi-whitebox attacks, there is no need to access the original target model after the generator is trained, in contrast to traditional white-box attacks. In black-box attacks, we dynamically train a distilled model for the black-box model and optimize the generator accordingly. Adversarial examples generated by AdvGAN on different target models have high attack success rate under state-of-the-art defenses compared to other attacks. Our attack has placed the first with 92.76% accuracy on a public MNIST black-box attack challenge.
- Published
- 2018
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28. Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms
- Author
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Bo Li, Arjun Nitin Bhagoji, Warren He, and Dawn Song
- Subjects
Black box (phreaking) ,Class (computer programming) ,Contextual image classification ,business.industry ,Computer science ,020206 networking & telecommunications ,Sample (statistics) ,02 engineering and technology ,Machine learning ,computer.software_genre ,0202 electrical engineering, electronic engineering, information engineering ,Deep neural networks ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer ,MNIST database ,Curse of dimensionality - Abstract
Existing black-box attacks on deep neural networks (DNNs) have largely focused on transferability, where an adversarial instance generated for a locally trained model can “transfer” to attack other learning models. In this paper, we propose novel Gradient Estimation black-box attacks for adversaries with query access to the target model’s class probabilities, which do not rely on transferability. We also propose strategies to decouple the number of queries required to generate each adversarial sample from the dimensionality of the input. An iterative variant of our attack achieves close to 100% attack success rates for both targeted and untargeted attacks on DNNs. We carry out a thorough comparative evaluation of black-box attacks and show that Gradient Estimation attacks achieve attack success rates similar to state-of-the-art white-box attacks on the MNIST and CIFAR-10 datasets. We also apply the Gradient Estimation attacks successfully against real-world classifiers hosted by Clarifai. Further, we evaluate black-box attacks against state-of-the-art defenses based on adversarial training and show that the Gradient Estimation attacks are very effective even against these defenses.
- Published
- 2018
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29. Proof of Luck
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Howard Wu, Maxinder S. Kanwal, Mitar Milutinovic, and Warren He
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FOS: Computer and information sciences ,0301 basic medicine ,Computer Science - Cryptography and Security ,Blockchain ,Computer science ,Distributed computing ,media_common.quotation_subject ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Constant (computer programming) ,Computer Science - Distributed, Parallel, and Cluster Computing ,Luck ,030220 oncology & carcinogenesis ,Proof-of-work system ,Distributed, Parallel, and Cluster Computing (cs.DC) ,Cryptography and Security (cs.CR) ,Protocol (object-oriented programming) ,Database transaction ,media_common - Abstract
In the paper, we present designs for multiple blockchain consensus primitives and a novel blockchain system, all based on the use of trusted execution environments (TEEs), such as Intel SGX-enabled CPUs. First, we show how using TEEs for existing proof of work schemes can make mining equitably distributed by preventing the use of ASICs. Next, we extend the design with proof of time and proof of ownership consensus primitives to make mining energy- and time-efficient. Further improving on these designs, we present a blockchain using a proof of luck consensus protocol. Our proof of luck blockchain uses a TEE platform's random number generation to choose a consensus leader, which offers low-latency transaction validation, deterministic confirmation time, negligible energy consumption, and equitably distributed mining. Lastly, we discuss a potential protection against up to a constant number of compromised TEEs., Comment: SysTEX '16, December 12-16, 2016, Trento, Italy
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- 2016
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30. Distanced self-talk increases rational self-interest
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Izzy Gainsburg, Walter J. Sowden, Brittany Drake, Warren Herold, and Ethan Kross
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Medicine ,Science - Abstract
Abstract Does stepping back to evaluate a situation from a distanced perspective lead us to be selfish or fair? This question has been of philosophical interest for centuries, and, more recently, the focus of extensive empirical inquiry. Yet, extant research reveals a puzzle: some studies suggest that adopting a distanced perspective will produce more rationally self-interested behavior, whereas others suggest that it will produce more impartial behavior. Here we adjudicate between these perspectives by testing the effects of adopting a third-person perspective on decision making in a task that pits rational self-interest against impartiality: the dictator game. Aggregating across three experiments (N = 774), participants who used third-person (i.e., distanced) vs. first-person (i.e., immersed) self-talk during the dictator game kept more money for themselves. We discuss these results in light of prior research showing that psychological distance can promote cooperation and fairmindedness and how the effect of psychological distance on moral decision-making may be sensitive to social context.
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- 2022
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31. The Emperor's New Password Manager: Security Analysis of Web-based Password Managers
- Author
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Devdatta Akhawe, Dawn Song, Zhiwei Li, and Warren He
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Password ,Password policy ,Cognitive password ,Computer science ,business.industry ,Network security ,Internet privacy ,Password cracking ,Computer security ,computer.software_genre ,One-time password ,Password strength ,S/KEY ,ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS ,business ,computer - Abstract
We conduct a security analysis of five popular web-based password managers. Unlike "local" password managers, web-based password managers run in the browser. We identify four key security concerns for web-based password managers and, for each, identify representative vulnerabilities through our case studies. Our attacks are severe: in four out of the five password managers we studied, an attacker can learn a user's credentials for arbitrary websites. We find vulnerabilities in diverse features like one-time passwords, bookmarklets, and shared passwords. The root-causes of the vulnerabilities are also diverse: ranging from logic and authorization mistakes to misunderstandings about the web security model, in addition to the typical vulnerabilities like CSRF and XSS. Our study suggests that it remains to be a challenge for the password managers to be secure. To guide future development of password managers, we provide guidance for password managers. Given the diversity of vulnerabilities we identified, we advocate a defense-in-depth approach to ensure security of password managers.
- Published
- 2014
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32. Data-Confined HTML5 Applications
- Author
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Warren He, Dawn Song, Frank Li, Prateek Saxena, and Devdatta Akhawe
- Subjects
HTML5 ,Computer science ,Distributed computing ,Covert channel - Abstract
Rich client-side applications written in HTML5 proliferate on diverse platforms, access sensitive data, and need to maintain data-confinement invariants. Applications currently enforce these invariants using implicit, ad-hoc mechanisms. We propose a new primitive called a data-confined sandbox or DCS. A DCS enables complete mediation of communication channels with a small TCB. Our primitive extends currently standardized primitives and has negligible performance overhead and a modest compatibility cost. We retrofit our design on four real-world HTML5 applications and demonstrate that a small amount of effort enables strong data-confinement guarantees.
- Published
- 2013
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33. Distributive Leadership Within an Emerging Network of Integrated Youth Health Centres: A Case Study of Foundry
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Amy Salmon, Saranee Fernando, Mai Berger, Karen Tee, Krista Gerty, Warren Helfrich, and Pamela Liversidge
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integrative care ,distributive leadership ,mental health ,adolescent health ,system transformation ,Medicine (General) ,R5-920 - Abstract
Background: Distributive leadership has been proposed as an effective means towards achieving integrated health services. This study draws from the case of 'Foundry', a network of integrated youth health centres in British Columbia, Canada, and explores the function and impact of distributive leadership in the context of a large-scale effort towards integrated service delivery for youth experiencing mental health and substance use challenges. Methods: Qualitative data was obtained from a developmental evaluation of Foundry using a longitudinal, ethnographic approach. Over 150 participants involved in the development of six Foundry centres were interviewed individually or in focus groups. Purposive and theoretical sampling strategies were used to maximize the diversity of perspectives represented in the data set. Results and Discussion: Distributive leadership was observed to be a facilitator for achieving service and system-level integration. Distributive leadership was effective in promoting streamlined service provision, and coordinating efforts towards optimized access to care. A new culture of leadership emerged through collaboration and relationship-building based on a common value system to prioritize youth needs. Conclusion: As Foundry, and other integrated youth services, continues to expand, distributive leadership shows promise in assuring diverse and coordinated input for integrating services.
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- 2020
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34. Joint Modeling of Crop and Irrigation in the central United States Using the Noah‐MP Land Surface Model
- Author
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Zhe Zhang, Michael Barlage, Fei Chen, Yanping Li, Warren Helgason, Xiaoyu Xu, Xing Liu, and Zhenhua Li
- Subjects
land surface model ,Earth system model ,crop ,irrigation ,parameters ,model uncertainties ,Physical geography ,GB3-5030 ,Oceanography ,GC1-1581 - Abstract
Abstract Representing climate‐crop interactions is critical to Earth system modeling. Despite recent progress in modeling dynamic crop growth and irrigation in land surface models (LSMs), transitioning these models from field to regional scales is still challenging. This study applies the Noah‐MP LSM with dynamic crop‐growth and irrigation schemes to jointly simulate the crop yield and irrigation amount for corn and soybean in the central United States. The model performance of crop yield and irrigation amount are evaluated at county‐level against the USDA reports and USGS water withdrawal data, respectively. The bulk simulation (with uniform planting/harvesting management and no irrigation) produces significant biases in crop yield estimates for all planting regions, with root‐mean‐square‐errors (RMSEs) being 28.1% and 28.4% for corn and soybean, respectively. Without an irrigation scheme, the crop yields in the irrigated regions are reduced due to water stress with RMSEs of 48.7% and 20.5%. Applying a dynamic irrigation scheme effectively improves crop yields in irrigated regions and reduces RMSEs to 22.3% and 16.8%. In rainfed regions, the model overestimates crop yields. Applying spatially varied planting and harvesting dates at state‐level reduces crop yields and irrigation amount for both crops, especially in northern states. A “nitrogen‐stressed” simulation is conducted and found that the improvement of irrigation on crop yields is limited when the crops are under nitrogen stress. Several uncertainties in modeling crop growth are identified, including yield‐gap, planting date, rubisco capacity, and discrepancies between available data sets, pointing to future efforts to incorporating spatially varying crop parameters to better constrain crop growing seasons.
- Published
- 2020
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35. Assessment of Different Water Use Efficiency Calculations for Dominant Forage Crops in the Great Lakes Basin
- Author
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Kevin De Haan, Myroslava Khomik, Adam Green, Warren Helgason, Merrin L. Macrae, Mazda Kompanizare, and Richard M. Petrone
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ecosystem water use efficiency ,harvest water use efficiency ,alfalfa (Medicago sativa) ,maize (Zea mays) ,fluxpart (flux variance similarity partitioning) ,eddy covariance ,Agriculture (General) ,S1-972 - Abstract
Water use efficiency (WUE) can be calculated using a range of methods differing in carbon uptake and water use variable selection. Consequently, inconsistencies arise between WUE calculations due to complex physical and physiological interactions. The purpose of this study was to quantify and compare WUE estimates (harvest or flux-based) for alfalfa (C3 plant) and maize (C4 plant) and determine effects of input variables, plant physiology and farming practices on estimates. Four WUE calculations were investigated: two “harvest-based” methods, using above ground carbon content and either precipitation or evapotranspiration (ET), and two “flux-based” methods, using gross primary productivity (GPP) and either ET or transpiration. WUE estimates differed based on method used at both half-hourly and seasonal scales. Input variables used in calculations affected WUE estimates, and plant physiology led to different responses in carbon assimilation and water use variables. WUE estimates were also impacted by different plant physiological responses and processing methods, even when the same carbon assimilation and water use variables were considered. This study highlights a need to develop a metric of measuring cropland carbon-water coupling that accounts for all water use components, plant carbon responses, and biomass production.
- Published
- 2021
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36. Sampling Buprestidae (Coleoptera) in Washington state with Cerceris californica Cresson (Hymenoptera, Crabronidae)
- Author
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Chris Looney, Warren Hellman, and Richard Westcott
- Subjects
Zoology ,QL1-991 - Abstract
The beetle-hunting habits of ground nesting wasps in the genus Cerceris Latreille have been recently exploited as a survey technique for exotic and native Buprestidae, particularly Agrilus planipennis Fairmaire (the emerald ash-borer). While such methods have been developed for the wide-ranging eastern Cerceris fumipennis Say, the survey potential of western buprestid-hunting Cerceris spp. has not been explored. Cerceris californica Cresson is the most well-studied of the western buprestid feeders, and the only one known to occur in Washington state. Here we report the results of surveys conducted in Washington in 2012–2013 for C. californica colonies, and numbers of buprestid beetles collected from monitored colonies. Eight C. californica colonies were found through visual search of 228 baseball fields and sandy clearings, but only four were large enough to monitor. Fifty-four beetles were recovered from the four colonies, comprising five native species. Four of these are new prey records for C. californica, and one (Chrysobothris quadriimpressa Gory & Laporte) is newly recorded from Washington. Cerceris californica colonies do not appear to be large or common enough in Washington to be a significant exotic buprestid survey strategy. However, even the limited monitoring resulted in more buprestid captures than nearby purple sticky traps, and monitoring C. californica nests may be a locally useful supplement for general buprestid surveys.
- Published
- 2014
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37. Epicardium Formation as a Sensor in Toxicology
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Warren Heideman, Jessica Plavicki, Peter Hofsteen, and Richard E. Peterson
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epicardium ,proepicardium ,TCDD ,AHR ,heart regeneration ,Biology (General) ,QH301-705.5 - Abstract
Zebrafish (Danio rerio) are an excellent vertebrate model for studying heart development, regeneration and cardiotoxicity. Zebrafish embryos exposed during the temporal window of epicardium development to the aryl hydrocarbon receptor (AHR) agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) exhibit severe heart malformations. TCDD exposure prevents both proepicardial organ (PE) and epicardium development. Exposure later in development, after the epicardium has formed, does not produce cardiac toxicity. It is not until the adult zebrafish heart is stimulated to regenerate does TCDD again cause detrimental effects. TCDD exposure prior to ventricular resection prevents cardiac regeneration. It is likely that TCDD-induced inhibition of epicardium development and cardiac regeneration occur via a common mechanism. Here, we describe experiments that focus on the epicardium as a target and sensor of zebrafish heart toxicity.
- Published
- 2013
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38. Detection of Caries Around Resin-Modified Glass Ionomer and Compomer Restorations Using Four Different Modalities In Vitro
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Tamara Abrams, Stephen Abrams, Koneswaran Sivagurunathan, Veronika Moravan, Warren Hellen, Gary Elman, Bennett Amaechi, and Andreas Mandelis
- Subjects
caries ,resin-modified glass ionomer ,compomer ,PTR-LUM ,DIAGNODent ,caries around restoration margins ,SPECTRA ,ICDAS II ,caries detection ,Dentistry ,RK1-715 - Abstract
The aim of this study was to evaluate the ability of visual examination (International Caries Detection and Assessment System—ICDAS II), light-emitting diodes (LED) fluorescence (SPECTRA), laser fluorescence (DIAGNODent, DD), photothermal radiometry and modulated luminescence (PTR-LUM, The Canary System, CS) to detect natural decay beneath resin-modified glass ionomer (RMGIC) and compomer restorations in vitro. Twenty-seven extracted human molars and premolars, consisting of 2 control teeth, 10 visually healthy/sound and 15 teeth with natural cavitated lesions, were selected. For the carious teeth, caries was removed leaving some carious tissue on one wall of the preparation. For the sound teeth, 3 mm deep cavity preparations were made. All cavities were restored with RMGIC or compomer restorative materials. Sixty-eight sites (4 sites on sound unrestored teeth, 21 sound sites and 43 carious sites with restorations) were selected. CS and DD triplicate measurements were done at 2, 1.5, 0.5, and 0 mm away from the margin of the restoration (MOR). SPECTRA images were taken, and two dentists provided ICDAS II scoring for the restored surfaces. The SPECTRA data and images were inconclusive due to signal interference from the restorations. Visual examinations of the restored tooth surfaces were able to identify 5 of the 15 teeth with caries. In these situations, the teeth were ranked as having ICDAS II 1 or 2 rankings, but they could not identify the location of the caries or depth of the lesion. CS and DD were able to differentiate between sound and carious tissue at the MOR, but larger variation in measurement, and poorer accuracy, was observed for DD. It was concluded that the CS has the potential to detect secondary caries around RMGIC and compomer restorations more accurately than the other modalities used in this study.
- Published
- 2018
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39. Resident as Teacher Curriculum
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Heather Harrell, Joyce Wipf, Paul Aronowitz, Joseph Rencic, David Gary Smith, Susan Hingle, Donald Bordley, Paul Mendez, Eric Green, Erica Friedman, Tayloe Loftus, Richard Simons, Rachel Stark, Yvonne Diaz, and Warren Hershman
- Subjects
Resident Education ,Curriculum ,Teaching Skills ,Resident as Educator ,Resident as Teacher ,Medicine (General) ,R5-920 ,Education - Abstract
Abstract This is a series of 10 modules developed to instruct residents how to teach within the constraints of a busy workday. The content emphasizes the application of teaching principles to common occurrences in an inpatient setting, such as oral presentations, reviewing progress notes, working up a new patient, and performing physical examinations. They are designed to have minimal didactic content and focus more on promoting discussions and providing skills practice. They are intended to be adapted to meet individual programs' needs and can also supplement existing resident-as-teacher programs. The authors have used these modules successfully at their own institutions and have received positive feedback from program directors who have used these modules successfully at their own institutions. They have been used as part of a formal resident-as-teacher program (both longitudinal programs and limited half-day workshops) and have been used to reinforce concepts later in training. The cases have also been incorporated into locally-developed modules as springboards for small-group discussion and skills practice.
- Published
- 2015
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40. Using the yeast gene deletion collection to customize gene expression
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Dritan Liko, Matthew G. Slattery, Chasity L. Phillips, and Warren Heideman
- Subjects
Biology (General) ,QH301-705.5 - Published
- 2006
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41. Spatial Variability of L-Band Brightness Temperature during Freeze/Thaw Events over a Prairie Environment
- Author
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Alexandre Roy, Peter Toose, Chris Derksen, Tracy Rowlandson, Aaron Berg, Juha Lemmetyinen, Alain Royer, Erica Tetlock, Warren Helgason, and Oliver Sonnentag
- Subjects
L-Band ,spatial variability ,soil permittivity ,snow density ,freeze/thaw ,SMOS ,Science - Abstract
Passive microwave measurements from space are known to be sensitive to the freeze/thaw (F/T) state of the land surface. These measurements are at a coarse spatial resolution (~15–50 km) and the spatial variability of the microwave emissions within a pixel can have important effects on the interpretation of the signal. An L-band ground-based microwave radiometer campaign was conducted in the Canadian Prairies during winter 2014–2015 to examine the spatial variability of surface emissions during frozen and thawed periods. Seven different sites within the Kenaston soil monitoring network were sampled five times between October 2014 and April 2015 with a mobile ground-based L-band radiometer system at approximately monthly intervals. The radiometer measurements showed that in a seemingly homogenous prairie landscape, the spatial variability of brightness temperature (TB) is non-negligible during both frozen and unfrozen soil conditions. Under frozen soil conditions, TB was negatively correlated with soil permittivity (εG). This correlation was related to soil moisture conditions before the main freezing event, showing that the soil ice volumetric content at least partly affects TB. However, because of the effect of snow on L-Band emission, the correlation between TB and εG decreased with snow accumulation. When compared to satellite measurements, the average TB of the seven plots were well correlated with the Soil Moisture Ocean Salinity (SMOS) TB with a root mean square difference of 8.1 K and consistent representation of the strong F/T signal (i.e., TB increases and decreases when soil freezing and thawing, respectively). This study allows better quantitative understanding of the spatial variability in L-Band emissions related to landscape F/T, and will help the calibration and validation of satellite-based F/T retrieval algorithms.
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- 2017
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42. Revision of the Structure of Acremine P from a Marine-Derived Strain of Acremonium persicinum
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Mary J. Garson, Warren Hehre, Gregory K. Pierens, and Suciati
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Acremonium ,fungi ,NOESY ,DFT calculations ,biosynthesis ,Organic chemistry ,QD241-441 - Abstract
The previously published structure of the fungal metabolite acremine P is revised by re-evaluation of chemical shift values and NOESY data, and by DFT calculations.
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- 2017
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43. A Multimodal Strategy for Teaching the Pulmonary Bedside Exam to Third-Year Medicine Students
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Melissa DiPetrillo, Christine Phillips, Winnie Suen, Allan Walkey, and Warren Hershman
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Physical Examination ,Pulmonary Exam ,Bedside Teaching ,Medicine Clerkship ,Medicine (General) ,R5-920 ,Education - Abstract
Abstract Introduction This resource is a teaching module on the pulmonary exam. Exam skills highlighted in this curriculum include pulmonary assessments in disease states such as asthma, pneumonia/lobar consolidation, pleural effusion, interstitial fibrosis, and chronic obstructive pulmonary disease. Methods This resource incorporates a case-based lecture, a bedside teaching experience, and a student assessment tool. The intended audience is third-year medical students. Results On lecture feedback evaluations, a majority of students strongly agreed that content and format were relevant to learning needs and that instructors' facilitation enhanced learning needs. Discussion Data thus far suggest that our curriculum has led to improvement in student knowledge of and confidence in performing the bedside pulmonary exam. Further research may include testing the durability of these changes and assessing the clinical impact of the intervention, including how it helps improve the actual student performance of the pulmonary exam and patient assessment at the bedside.
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- 2013
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44. Controlled soil warming powered by alternative energy for remote field sites.
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Jill F Johnstone, Jonathan Henkelman, Kirsten Allen, Warren Helgason, and Angela Bedard-Haughn
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Medicine ,Science - Abstract
Experiments using controlled manipulation of climate variables in the field are critical for developing and testing mechanistic models of ecosystem responses to climate change. Despite rapid changes in climate observed in many high latitude and high altitude environments, controlled manipulations in these remote regions have largely been limited to passive experimental methods with variable effects on environmental factors. In this study, we tested a method of controlled soil warming suitable for remote field locations that can be powered using alternative energy sources. The design was tested in high latitude, alpine tundra of southern Yukon Territory, Canada, in 2010 and 2011. Electrical warming probes were inserted vertically in the near-surface soil and powered with photovoltaics attached to a monitoring and control system. The warming manipulation achieved a stable target warming of 1.3 to 2 °C in 1 m(2) plots while minimizing disturbance to soil and vegetation. Active control of power output in the warming plots allowed the treatment to closely match spatial and temporal variations in soil temperature while optimizing system performance during periods of low power supply. Active soil heating with vertical electric probes powered by alternative energy is a viable option for remote sites and presents a low-disturbance option for soil warming experiments. This active heating design provides a valuable tool for examining the impacts of soil warming on ecosystem processes.
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- 2013
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45. Correction: Corrigendum: TCTEX1D2 mutations underlie Jeune asphyxiating thoracic dystrophy with impaired retrograde intraflagellar transport
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Miriam Schmidts, Yuqing Hou, Claudio R. Cortés, Dorus A. Mans, Celine Huber, Karsten Boldt, Mitali Patel, Jeroen van Reeuwijk, Jean-Marc Plaza, Sylvia E. C. van Beersum, Zhi Min Yap, Stef J. F. Letteboer, S. Paige Taylor, Warren Herridge, Colin A. Johnson, Peter J. Scambler, Marius Ueffing, Hulya Kayserili, Deborah Krakow, Stephen M. King, UK10K, Philip L. Beales, Lihadh Al-Gazali, Carol Wicking, Valerie Cormier-Daire, Ronald Roepman, Hannah M. Mitchison, and George B. Witman
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Science - Abstract
Nature Communications 6: Article number:7074 (2015); Published: 05 June 2015; Updated: 29 Marrch 2016 The financial support for this article was not fully acknowledged. The Acknowledgements should have included the following: PLB was supported by the National Institute for Health Research BiomedicalResearch Centre at Great Ormond Street Hospital for Children NHS Foundation Trust and University College London.
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- 2016
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46. A dominant negative zebrafish Ahr2 partially protects developing zebrafish from dioxin toxicity.
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Kevin A Lanham, Amy L Prasch, Kasia M Weina, Richard E Peterson, and Warren Heideman
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Medicine ,Science - Abstract
The toxicity by 2,3,7,8 tetrachlorodibenzo-p-dioxin (TCDD) is thought to be caused by activation of the aryl hydrocarbon receptor (AHR). However, our understanding of how AHR activation by TCDD leads to toxic effects is poor. Ideally we would like to manipulate AHR activity in specific tissues and at specific times. One route to this is expressing dominant negative AHRs (dnAHRs). This work describes the construction and characterization of dominant negative forms of the zebrafish Ahr2 in which the C-terminal transactivation domain was either removed, or replaced with the inhibitory domain from the Drosophila engrailed repressor protein. One of these dnAhr2s was selected for expression from the ubiquitously active e2fα promoter in transgenic zebrafish. We found that these transgenic zebrafish expressing dnAhr2 had reduced TCDD induction of the Ahr2 target gene cyp1a, as measured by 7-ethoxyresorufin-O-deethylase activity. Furthermore, the cardiotoxicity produced by TCDD, pericardial edema, heart malformation, and reduced blood flow, were all mitigated in the zebrafish expressing the dnAhr2. These results provide in vivo proof-of-principle results demonstrating the effectiveness of dnAHRs in manipulating AHR activity in vivo, and demonstrating that this approach can be a means for blocking TCDD toxicity.
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- 2011
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47. Utility of cardiovascular magnetic resonance imaging in patients with malignant ventricular arrhythmias
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Drangova Maria, MacDonald Anna, Klein George, Skanes Allan, Yee Raymond, Fine Nowell, Gula Lorne, Krahn Andrew, Warren Heather, and White James
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Published
- 2010
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48. The Value of the Subinternship: A Survey of Fourth Year Medical Students
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Eric H. Green, MD MSc, Warren Hershman, MD MPH, and Suzanne Sarfaty, MD MPH
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subinternship ,medical students ,education ,survey ,Special aspects of education ,LC8-6691 ,Medicine (General) ,R5-920 - Abstract
Background: Although the subinternship is often regarded as an important part of many fourth year curricula it is rarely studied. Purpose: We aimed to understand the how well the subinternship prepared medical students to perform core clinical skills. Methods: Senior medical students at Boston University School of Medicine rated their perception of the effectiveness of the subinternship and medical school overall in preparing them to perform core clinical skills using a written survey. Results: Overall, 69% (101) of students responded. Students believe that the subinternship prepares them to perform most key skills involved in day-to-day medical care. However, students feel less prepared by either their subinternship or overall medical school experience to carry out some complex patient communication skills including delivering bad news and discussing end-of-life wishes. Conclusions: The subinternship appears to be effective in preparing students for many of the challenges they will face as an intern and beyond. However, students identified several complex communication skills that could be addressed in part by the subinternship for which they felt unprepared. Student learning would likely be enhanced by creating a longitudinal program to teach these higher-level communication skills during medical school and by integrating practice and feedback of these skills into the subinternship
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- 2004
49. Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity
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Mark K. Bakker, Jos P. Kanning, Gad Abraham, Amy E. Martinsen, Bendik S. Winsvold, John-Anker Zwart, Romain Bourcier, Tomonobu Sawada, Masaru Koido, Yoichiro Kamatani, Sandrine Morel, Philippe Amouyel, Stéphanie Debette, Philippe Bijlenga, Takiy Berrandou, Santhi K. Ganesh, Nabila Bouatia-Naji, Gregory Jones, Matthew Bown, Gabriel J.E. Rinkel, Jan H. Veldink, Ynte M. Ruigrok, Anne Hege Aamodt, Anne Heidi Skogholt, Ben M Brumpton, Cristen J Willer, Else C Sandset, Espen S Kristoffersen, Hanne Ellekjær, Ingrid Heuch, Jonas B Nielsen, Knut Hagen, Kristian Hveem, Lars G Fritsche, Laurent F Thomas, Linda M Pedersen, Maiken E Gabrielsen, Oddgeir L Holmen, Sigrid Børte, Wei Zhou, Shérine Abboud, Massimo Pandolfo, Vincent Thijs, Didier Leys, Marie Bodenant, Fabien Louillet, Emmanuel Touzé, Jean-Louis Mas, Yves Samson, Sara Leder, Anne Léger, Sandrine Deltour, Sophie Crozier, Isabelle Méresse, Sandrine Canaple, Olivier Godefroy, Maurice Giroud, Yannick Béjot, Pierre Decavel, Elizabeth Medeiros, Paola Montiel, Thierry Moulin, Fabrice Vuillier, Jean Dallongeville, Antti J Metso, Tiina Metso, Turgut Tatlisumak, Caspar Grond-Ginsbach, Christoph Lichy, Manja Kloss, Inge Werner, Marie-Luise Arnold, Michael Dos Santos, Armin Grau, Martin Dichgans, Constanze Thomas-Feles, Ralf Weber, Tobias Brandt, Alessandro Pezzini, Valeria De Giuli, Filomena Caria, Loris Poli, Alessandro Padovani, Anna Bersano, Silvia Lanfranconi, Simone Beretta, Carlo Ferrarese, Giacomo Giacolone, Stefano Paolucci, Philippe Lyrer, Stefan Engelter, Felix Fluri, Florian Hatz, Dominique Gisler, Leo Bonati, Henrik Gensicke, Margareth Amort, Hugh Markus, Jennifer Majersik, Bradford Worrall, Andrew Southerland, John Cole, Steven Kittner, Evangelos Evangelou, Helen R Warren, He Gao, Georgios Ntritsos, Niki Dimou, Tonu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Jun Ding, Franco Giulianini, Elizabeth G Holliday, Anne U Jackson, Ruifang Li-Gao, Wei-Yu Lin, Jian’an Luan, Massimo Mangino, Christopher Oldmeadow, Bram Peter Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M Willems, Jing-Hua Zhao, John Connell, Renée de Mutsert, Alex SF Doney, Martin Farrall, Cristina Menni, Andrew D Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E Arking, Kristin L Ayers, Caterina M Barbieri, Chiara Batini, Joshua C Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I Boomsma, Erwin P Bottinger, Peter S Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis Collins, Heather J Cordell, Gail Davies, Martin H de Borst, Eco J de Geus, Ian J Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg B Ehret, Roberto Elosua, Stefan Enroth, A Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H Franco, Ilaria Gandin, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Anuj Goel, Alan J Gow, Vilmundur Gudnason, Xiuqing Guo, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Sarah E Harris, Catharina A Hartman, Aki S Havulinna, Andrew A Hicks, Edith Hofer, Albert Hofman, Jouke-Jan Hottenga, Jennifer E Huffman, Shih-Jen Hwang, Erik Ingelsson, Alan James, Rick Jansen, Marjo-Riitta Jarvelin, Roby Joehanes, Åsa Johansson, Andrew D Johnson, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Antti Jula, Mika Kähönen, Sekar Kathiresan, Bernard D Keavney, Kay-Tee Khaw, Paul Knekt, Joanne Knight, Ivana Kolcic, Jaspal S Kooner, Seppo Koskinen, Kati Kristiansson, Zoltan Kutalik, Maris Laan, Marty Larson, Lenore J Launer, Benjamin Lehne, Terho Lehtimäki, David CM Liewald, Li Lin, Lars Lind, Cecilia M Lindgren, YongMei Liu, Ruth JF Loos, Lorna M Lopez, Yingchang Lu, Leo-Pekka Lyytikäinen, Anubha Mahajan, Chrysovalanto Mamasoula, Jaume Marrugat, Jonathan Marten, Yuri Milaneschi, Anna Morgan, Andrew P Morris, Alanna C Morrison, Peter J Munson, Mike A Nalls, Priyanka Nandakumar, Christopher P Nelson, Teemu Niiranen, Ilja M Nolte, Teresa Nutile, Albertine J Oldehinkel, Ben A Oostra, Paul F O’Reilly, Elin Org, Sandosh Padmanabhan, Walter Palmas, Aarno Palotie, Alison Pattie, Brenda WJH Penninx, Markus Perola, Annette Peters, Ozren Polasek, Peter P Pramstaller, Quang Tri Nguyen, Olli T Raitakari, Rainer Rettig, Kenneth Rice, Paul M Ridker, Janina S Ried, Harriëtte Riese, Samuli Ripatti, Antonietta Robino, Lynda M Rose, Jerome I Rotter, Igor Rudan, Daniela Ruggiero, Yasaman Saba, Cinzia F Sala, Veikko Salomaa, Nilesh J Samani, Antti-Pekka Sarin, Reinhold Schmidt, Helena Schmidt, Nick Shrine, David Siscovick, Albert V Smith, Harold Snieder, Siim Sõber, Rossella Sorice, John M Starr, David J Stott, David P Strachan, Rona J Strawbridge, Johan Sundström, Morris A Swertz, Kent D Taylor, Alexander Teumer, Martin D Tobin, Maciej Tomaszewski, Daniela Toniolo, Michela Traglia, Stella Trompet, Jaakko Tuomilehto, Christophe Tzourio, André G Uitterlinden, Ahmad Vaez, Peter J van der Most, Cornelia M van Duijn, Germaine C Verwoert, Veronique Vitart, Uwe Völker, Peter Vollenweider, Dragana Vuckovic, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, James F Wilson, Alan F Wright, Jie Yao, Tatijana Zemunik, Weihua Zhang, John R Attia, Adam S Butterworth, Daniel I Chasman, David Conen, Francesco Cucca, John Danesh, Caroline Hayward, Joanna MM Howson, Markku Laakso, Edward G Lakatta, Claudia Langenberg, Olle Melander, Dennis O Mook-Kanamori, Colin NA Palmer, Lorenz Risch, Robert A Scott, Rodney J Scott, Peter Sever, Tim D Spector, Pim van der Harst, Nicholas J Wareham, Eleftheria Zeggini, Daniel Levy, Patricia B Munroe, Christopher Newton-Cheh, Morris J Brown, Andres Metspalu, Bruce M. Psaty, Louise V Wain, Paul Elliott, Mark J Caulfield, Padhraig Gormley, Verneri Anttila, Priit Palta, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, Mikko Kallela, Tobias M Freilinger, Caroline Ran, Scott G Gordon, Anine H Stam, Stacy Steinberg, Guntram Borck, Markku Koiranen, Lydia Quaye, Hieab H H Adams, Juho Wedenoja, David A Hinds, Julie E Buring, Markus Schürks, Maria Gudlaug Hrafnsdottir, Hreinn Stefansson, Susan M Ring, Brenda W J H Penninx, Markus Färkkilä, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Rainer Malik, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Mart Kals, Kalle Pärn, Eija Hämäläinen, Hailiang Huang, Andrea E Byrnes, Lude Franke, Jie Huang, Evie Stergiakouli, Phil H Lee, Cynthia Sandor, Caleb Webber, Zameel Cader, Bertram Muller-Myhsok, Stefan Schreiber, Thomas Meitinger, Johan G Eriksson, Kauko Heikkilä, Elizabeth Loehrer, Andre G Uitterlinden, Lynn Cherkas, Audun Stubhaug, Christopher S Nielsen, Minna Männikkö, Evelin Mihailov, Hartmut Göbel, Ann-Louise Esserlind, Anne Francke Christensen, Thomas Folkmann Hansen, Thomas Werge, Jaakko Kaprio, Arpo J Aromaa, Olli Raitakari, M Arfan Ikram, Tim Spector, Marjo-Riitta Järvelin, Christian Kubisch, Michel D Ferrari, Andrea C Belin, Maija Wessman, Arn M J M van den Maagdenberg, George Davey Smith, Kari Stefansson, Nicholas Eriksson, Mark J Daly, Benjamin M Neale, Jes Olesen, Dale R Nyholt, Masato Akiyama, Varinder S. Alg, Joseph P. Broderick, Ben M. Brumpton, Jérôme Dauvillier, Hubert Desal, Christian Dina, Christoph M. Friedrich, Emília I. Gaál-Paavola, Jean-Christophe Gentric, Sven Hirsch, Isabel C. Hostettler, Henry Houlden, Juha E. Jääskeläinen, Marianne Bakke Johnsen, Liming Li, Kuang Lin, Antti Lindgren, Olivier Martin, Koichi Matsuda, Iona Y. Millwood, Olivier Naggara, Mika Niemelä, Joanna Pera, Richard Redon, Guy A. Rouleau, Marie Søfteland Sandvei, Sabine Schilling, Eimad Shotar, Agnieszka Slowik, Chikashi Terao, W. M. Monique Verschuren, Robin G. Walters, David J. Werring, Cristen J. Willer, Daniel Woo, Bradford B. Worrall, Sirui Zhou, Biological Psychology, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, AMS - Sports, AMS - Ageing & Vitality, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Systems Ecology, Sociology and Social Gerontology, Bakker, Mark K., Kanning, Jos P., Abraham, Gad, Martinsen, Amy E., Winsvold, Bendik S., Zwart, John-Anker, Bourcier, Romain, Sawada, Tomonobu, Koido, Masaru, Kamatani, Yoichiro, Morel, Sandrine, Amouyel, Philippe, Debette, Stéphanie, Bijlenga, Philippe, Berrandou, Takiy, Ganesh, Santhi K., Bouatia-Naji, Nabila, Jones, Gregory, Bown, Matthew, Rinkel, Gabriel J. E., Veldink, Jan H., Ruigrok, Ynte M., Girotto, G., All-In Stroke, Hunt, Group, Cadisp, Consortium for Blood Pressure, International, Headache Genetics Consortium, International, Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group, International, Utrecht University [Utrecht], Baker Heart and Diabetes Institute (AUSTRALIA), University of Melbourne, University of Oslo (UiO), Norwegian University of Science and Technology (NTNU), Oslo University Hospital [Oslo], Centre hospitalier universitaire de Nantes (CHU Nantes), unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE), Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), The University of Tokyo (UTokyo), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Hôpital Universitaire de Genève = University Hospitals of Geneva (HUG), Université de Genève = University of Geneva (UNIGE), Excellence Laboratory LabEx DISTALZ, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Bordeaux [Bordeaux], Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), University of Michigan Medical School [Ann Arbor], University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, University of Otago [Dunedin, Nouvelle-Zélande], University of Leicester, Laboratoire de Neurosciences Fonctionnelles et Pathologies - UR UPJV 4559 (LNFP), Université de Picardie Jules Verne (UPJV), CHU Amiens-Picardie, HUNT All-In Stroke, CADISP group, International Consortium for Blood Pressure, International Headache Genetics Consortium, International Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group: Anne Hege Aamodt, Anne Heidi Skogholt, Ben M Brumpton, Cristen J Willer, Else C Sandset, Espen S Kristoffersen, Hanne Ellekjær, Ingrid Heuch, Jonas B Nielsen, Knut Hagen, Kristian Hveem, Lars G Fritsche, Laurent F Thomas, Linda M Pedersen, Maiken E Gabrielsen, Oddgeir L Holmen, Sigrid Børte, Wei Zhou, Shérine Abboud, Massimo Pandolfo, Vincent Thijs, Didier Leys, Marie Bodenant, Fabien Louillet, Emmanuel Touzé, Jean-Louis Mas, Yves Samson, Sara Leder, Anne Léger, Sandrine Deltour, Sophie Crozier, Isabelle Méresse, Sandrine Canaple, Olivier Godefroy, Maurice Giroud, Yannick Béjot, Pierre Decavel, Elizabeth Medeiros, Paola Montiel, Thierry Moulin, Fabrice Vuillier, Jean Dallongeville, Antti J Metso, Tiina Metso, Turgut Tatlisumak, Caspar Grond-Ginsbach, Christoph Lichy, Manja Kloss, Inge Werner, Marie-Luise Arnold, Michael Dos Santos, Armin Grau, Martin Dichgans, Constanze Thomas-Feles, Ralf Weber, Tobias Brandt, Alessandro Pezzini, Valeria De Giuli, Filomena Caria, Loris Poli, Alessandro Padovani, Anna Bersano, Silvia Lanfranconi, Simone Beretta, Carlo Ferrarese, Giacomo Giacolone, Stefano Paolucci, Philippe Lyrer, Stefan Engelter, Felix Fluri, Florian Hatz, Dominique Gisler, Leo Bonati, Henrik Gensicke, Margareth Amort, Hugh Markus, Jennifer Majersik, Bradford Worrall, Andrew Southerland, John Cole, Steven Kittner, Evangelos Evangelou, Helen R Warren, He Gao, Georgios Ntritsos, Niki Dimou, Tonu Esko, Reedik Mägi, Lili Milani, Peter Almgren, Thibaud Boutin, Jun Ding, Franco Giulianini, Elizabeth G Holliday, Anne U Jackson, Ruifang Li-Gao, Wei-Yu Lin, Jian'an Luan, Massimo Mangino, Christopher Oldmeadow, Bram Peter Prins, Yong Qian, Muralidharan Sargurupremraj, Nabi Shah, Praveen Surendran, Sébastien Thériault, Niek Verweij, Sara M Willems, Jing-Hua Zhao, John Connell, Renée de Mutsert, Alex Sf Doney, Martin Farrall, Cristina Menni, Andrew D Morris, Raymond Noordam, Guillaume Paré, Neil R Poulter, Denis C Shields, Alice Stanton, Simon Thom, Gonçalo Abecasis, Najaf Amin, Dan E Arking, Kristin L Ayers, Caterina M Barbieri, Chiara Batini, Joshua C Bis, Tineka Blake, Murielle Bochud, Michael Boehnke, Eric Boerwinkle, Dorret I Boomsma, Erwin P Bottinger, Peter S Braund, Marco Brumat, Archie Campbell, Harry Campbell, Aravinda Chakravarti, John C Chambers, Ganesh Chauhan, Marina Ciullo, Massimiliano Cocca, Francis Collins, Heather J Cordell, Gail Davies, Martin H de Borst, Eco J de Geus, Ian J Deary, Joris Deelen, Fabiola Del Greco M, Cumhur Yusuf Demirkale, Marcus Dörr, Georg B Ehret, Roberto Elosua, Stefan Enroth, A Mesut Erzurumluoglu, Teresa Ferreira, Mattias Frånberg, Oscar H Franco, Ilaria Gandin, Paolo Gasparini, Vilmantas Giedraitis, Christian Gieger, Giorgia Girotto, Anuj Goel, Alan J Gow, Vilmundur Gudnason, Xiuqing Guo, Ulf Gyllensten, Anders Hamsten, Tamara B Harris, Sarah E Harris, Catharina A Hartman, Aki S Havulinna, Andrew A Hicks, Edith Hofer, Albert Hofman, Jouke-Jan Hottenga, Jennifer E Huffman, Shih-Jen Hwang, Erik Ingelsson, Alan James, Rick Jansen, Marjo-Riitta Jarvelin, Roby Joehanes, Åsa Johansson, Andrew D Johnson, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Antti Jula, Mika Kähönen, Sekar Kathiresan, Bernard D Keavney, Kay-Tee Khaw, Paul Knekt, Joanne Knight, Ivana Kolcic, Jaspal S Kooner, Seppo Koskinen, Kati Kristiansson, Zoltan Kutalik, Maris Laan, Marty Larson, Lenore J Launer, Benjamin Lehne, Terho Lehtimäki, David Cm Liewald, Li Lin, Lars Lind, Cecilia M Lindgren, YongMei Liu, Ruth Jf Loos, Lorna M Lopez, Yingchang Lu, Leo-Pekka Lyytikäinen, Anubha Mahajan, Chrysovalanto Mamasoula, Jaume Marrugat, Jonathan Marten, Yuri Milaneschi, Anna Morgan, Andrew P Morris, Alanna C Morrison, Peter J Munson, Mike A Nalls, Priyanka Nandakumar, Christopher P Nelson, Teemu Niiranen, Ilja M Nolte, Teresa Nutile, Albertine J Oldehinkel, Ben A Oostra, Paul F O'Reilly, Elin Org, Sandosh Padmanabhan, Walter Palmas, Aarno Palotie, Alison Pattie, Brenda Wjh Penninx, Markus Perola, Annette Peters, Ozren Polasek, Peter P Pramstaller, Quang Tri Nguyen, Olli T Raitakari, Rainer Rettig, Kenneth Rice, Paul M Ridker, Janina S Ried, Harriëtte Riese, Samuli Ripatti, Antonietta Robino, Lynda M Rose, Jerome I Rotter, Igor Rudan, Daniela Ruggiero, Yasaman Saba, Cinzia F Sala, Veikko Salomaa, Nilesh J Samani, Antti-Pekka Sarin, Reinhold Schmidt, Helena Schmidt, Nick Shrine, David Siscovick, Albert V Smith, Harold Snieder, Siim Sõber, Rossella Sorice, John M Starr, David J Stott, David P Strachan, Rona J Strawbridge, Johan Sundström, Morris A Swertz, Kent D Taylor, Alexander Teumer, Martin D Tobin, Maciej Tomaszewski, Daniela Toniolo, Michela Traglia, Stella Trompet, Jaakko Tuomilehto, Christophe Tzourio, André G Uitterlinden, Ahmad Vaez, Peter J van der Most, Cornelia M van Duijn, Germaine C Verwoert, Veronique Vitart, Uwe Völker, Peter Vollenweider, Dragana Vuckovic, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, James F Wilson, Alan F Wright, Jie Yao, Tatijana Zemunik, Weihua Zhang, John R Attia, Adam S Butterworth, Daniel I Chasman, David Conen, Francesco Cucca, John Danesh, Caroline Hayward, Joanna Mm Howson, Markku Laakso, Edward G Lakatta, Claudia Langenberg, Olle Melander, Dennis O Mook-Kanamori, Colin Na Palmer, Lorenz Risch, Robert A Scott, Rodney J Scott, Peter Sever, Tim D Spector, Pim van der Harst, Nicholas J Wareham, Eleftheria Zeggini, Daniel Levy, Patricia B Munroe, Christopher Newton-Cheh, Morris J Brown, Andres Metspalu, Bruce M Psaty, Louise V Wain, Paul Elliott, Mark J Caulfield, Padhraig Gormley, Verneri Anttila, Priit Palta, Tonu Esko, Tune H Pers, Kai-How Farh, Ester Cuenca-Leon, Mikko Muona, Nicholas A Furlotte, Tobias Kurth, Andres Ingason, George McMahon, Lannie Ligthart, Gisela M Terwindt, Mikko Kallela, Tobias M Freilinger, Caroline Ran, Scott G Gordon, Anine H Stam, Stacy Steinberg, Guntram Borck, Markku Koiranen, Lydia Quaye, Hieab H H Adams, Terho Lehtimäki, Antti-Pekka Sarin, Juho Wedenoja, David A Hinds, Julie E Buring, Markus Schürks, Paul M Ridker, Maria Gudlaug Hrafnsdottir, Hreinn Stefansson, Susan M Ring, Jouke-Jan Hottenga, Brenda W J H Penninx, Markus Färkkilä, Ville Artto, Mari Kaunisto, Salli Vepsäläinen, Rainer Malik, Andrew C Heath, Pamela A F Madden, Nicholas G Martin, Grant W Montgomery, Mitja I Kurki, Mart Kals, Reedik Mägi, Kalle Pärn, Eija Hämäläinen, Hailiang Huang, Andrea E Byrnes, Lude Franke, Jie Huang, Evie Stergiakouli, Phil H Lee, Cynthia Sandor, Caleb Webber, Zameel Cader, Bertram Muller-Myhsok, Stefan Schreiber, Thomas Meitinger, Johan G Eriksson, Veikko Salomaa, Kauko Heikkilä, Elizabeth Loehrer, Andre G Uitterlinden, Albert Hofman, Cornelia M van Duijn, Lynn Cherkas, Linda M Pedersen, Audun Stubhaug, Christopher S Nielsen, Minna Männikkö, Evelin Mihailov, Lili Milani, Hartmut Göbel, Ann-Louise Esserlind, Anne Francke Christensen, Thomas Folkmann Hansen, Thomas Werge, Jaakko Kaprio, Arpo J Aromaa, Olli Raitakari, M Arfan Ikram, Tim Spector, Marjo-Riitta Järvelin, Andres Metspalu, Christian Kubisch, David P Strachan, Michel D Ferrari, Andrea C Belin, Martin Dichgans, Maija Wessman, Arn M J M van den Maagdenberg, Dorret I Boomsma, George Davey Smith, Kari Stefansson, Nicholas Eriksson, Mark J Daly, Benjamin M Neale, Jes Olesen, Daniel I Chasman, Dale R Nyholt, Aarno Palotie, Masato Akiyama, Varinder S Alg, Sigrid Børte, Joseph P Broderick, Ben M Brumpton, Jérôme Dauvillier, Hubert Desal, Christian Dina, Christoph M Friedrich, Emília I Gaál-Paavola, Jean-Christophe Gentric, Sven Hirsch, Isabel C Hostettler, Henry Houlden, Kristian Hveem, Juha E Jääskeläinen, Marianne Bakke Johnsen, Liming Li, Kuang Lin, Antti Lindgren, Olivier Martin, Koichi Matsuda, Iona Y Millwood, Olivier Naggara, Mika Niemelä, Joanna Pera, Richard Redon, Guy A Rouleau, Marie Søfteland Sandvei, Sabine Schilling, Eimad Shotar, Agnieszka Slowik, Chikashi Terao, W M Monique Verschuren, Robin G Walters, David J Werring, Cristen J Willer, Daniel Woo, Bradford B Worrall, Sirui Zhou, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and Admin, Oskar
- Subjects
Advanced and Specialized Nursing ,Incidence ,risk assessment ,Smoking/epidemiology ,intracranial aneurysm ,genetic heterogeneity ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,Risk Factors ,Intracranial Aneurysm/epidemiology ,Humans ,Subarachnoid Hemorrhage/epidemiology ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,genetics ,Neurology (clinical) ,aneurysmal subarachnoid hemorrhage ,genetic ,Cardiology and Cardiovascular Medicine - Abstract
Background: Recently, common genetic risk factors for intracranial aneurysm (IA) and aneurysmal subarachnoid hemorrhage (ASAH) were found to explain a large amount of disease heritability and therefore have potential to be used for genetic risk prediction. We constructed a genetic risk score to (1) predict ASAH incidence and IA presence (combined set of unruptured IA and ASAH) and (2) assess its association with patient characteristics. Methods: A genetic risk score incorporating genetic association data for IA and 17 traits related to IA (so-called metaGRS) was created using 1161 IA cases and 407 392 controls from the UK Biobank population study. The metaGRS was validated in combination with risk factors blood pressure, sex, and smoking in 828 IA cases and 68 568 controls from the Nordic HUNT population study. Furthermore, we assessed association between the metaGRS and patient characteristics in a cohort of 5560 IA patients. Results: Per SD increase of metaGRS, the hazard ratio for ASAH incidence was 1.34 (95% CI, 1.20–1.51) and the odds ratio for IA presence 1.09 (95% CI, 1.01–1.18). Upon including the metaGRS on top of clinical risk factors, the concordance index to predict ASAH hazard increased from 0.63 (95% CI, 0.59–0.67) to 0.65 (95% CI, 0.62–0.69), while prediction of IA presence did not improve. The metaGRS was statistically significantly associated with age at ASAH (β=−4.82×10 −3 per year [95% CI, −6.49×10 −3 to −3.14×10 −3 ]; P =1.82×10 −8 ), and location of IA at the internal carotid artery (odds ratio=0.92 [95% CI, 0.86–0.98]; P =0.0041). Conclusions: The metaGRS was predictive of ASAH incidence, although with limited added value over clinical risk factors. The metaGRS was not predictive of IA presence. Therefore, we do not recommend using this metaGRS in daily clinical care. Genetic risk does partly explain the clinical heterogeneity of IA warranting prioritization of clinical heterogeneity in future genetic prediction studies of IA and ASAH.
- Published
- 2023
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50. The role of ruminant urine and faeces in the recycling of nutrients by forages.
- Author
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Kao PT, McGrath SP, Buss HL, Darch T, Warren HE, McAuliffe GA, Cardenas L, Blackwell M, and Lee MRF
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- Animals, Cattle, Sheep, Nutrients analysis, Nutrients metabolism, Ruminants physiology, Nitrogen metabolism, Nitrogen urine, Nitrogen analysis, Phosphorus urine, Phosphorus analysis, Phosphorus metabolism, Feces chemistry, Soil chemistry, Urine chemistry, Animal Feed analysis
- Abstract
This study addresses the effect of using animal excreta on the nutritional content of forages, focusing on macro- and micro-element concentrations (nitrogen; N, phosphorus; P, sulphur; S, copper; Cu, zinc; Zn, manganese; Mn, selenium; Se) from animal feed to excreta, soil, and plants. Data were collected from pot and field trials using separate applications of sheep or cattle urine and faeces. Key findings indicate that soil organic carbon (SOC) and the type of excreta significantly influences nutrient uptake by forages, with varied responses among the seven elements defined above. Although urine contributes fewer micronutrients compared to faeces (as applied at a natural volume/mass basis, respectively), it notably improves forage yield and micronutrient accumulation, thus potentially delivering positive consequences at the farm level regarding economic performance and soil fertility when swards upon clayey soil types receive said urine in temperate agro-climatic regions (i.e., South West England in the current context). In contrast, faeces application in isolation hinders Se and Mn uptake, once again potentially delivering unintended consequences such as micronutrient deficiencies in areas of high faeces deposition. As it is unlikely that (b)ovine grazing fields will receive either urine or faeces in isolation, we also explored combined applications of both excreta types which demonstrates synergistic effects on N, Cu, and Zn uptake, with either synergistic or dilution effects being observed for P and S, depending largely on SOC levels. Additionally, interactions between excreta types can result in dilution or antagonistic effects on Mn and Se uptake. Notably, high SOC combined with faeces reduces Mn and Se in forages, raising concerns for grazed ruminant systems under certain biotic situations, e.g., due to insufficient soil Se levels typically observed in UK pastures for livestock growth. These findings underscore the importance of considering SOC and excreta nutritional composition when designing forage management to optimize nutrient uptake. It should be noted that these findings have potential ramifications for broader studies of sustainable agriculture through system-scale analyses, as the granularity of results reported herein elucidate gaps in knowledge which could affect, both positively and negatively, the interpretation of model-based environmental impact assessments of cattle and sheep production (e.g., in the case of increased yields [beneficial] or the requirement of additional synthetic supplementation [detrimental])., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
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