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Todd S, Foster N. Oncocytic papillary cystadenoma. Br Dent J 2024; 236:187-188. [PMID: 38332080 DOI: 10.1038/s41415-024-7093-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 01/09/2024] [Indexed: 02/10/2024]
Affiliation(s)
- S Todd
- Dental Emergency Clinic, Newcastle Dental Hospital, Newcastle-Upon-Tyne, UK.
| | - N Foster
- Dental Emergency Clinic, Newcastle Dental Hospital, Newcastle-Upon-Tyne, UK.
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Linden M, Leonard R, Forbes T, Brown M, Marsh L, Todd S, Hughes N, Truesdale M. Experiences of UK and Irish family carers of people with profound and multiple intellectual disabilities during the COVID-19 pandemic. BMC Public Health 2023; 23:2475. [PMID: 38082349 PMCID: PMC10714525 DOI: 10.1186/s12889-023-17432-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 12/06/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND People with profound and multiple intellectual disabilities (PMID) have high and intensive support needs that ordinarily place significant strain on family carers. This was further heightened by the removal of many external supports during the COVID-19 pandemic. We sought to explore the experiences of family carers of people with PMID during the COVID-19 pandemic and understand what the longer-term impact might be on their lives. METHODS Focus group interviews (n = 32) were conducted with family carers (n = 126) from the four countries of the UK and the Republic of Ireland. Participants were asked questions relating to their experiences of the COVID-19 pandemic, coping strategies, and challenges faced. All focus groups were conducted using the online platform, Zoom. These were audio recorded, transcribed verbatim and analysed employing inductive thematic analysis. FINDINGS Three main themes were generated from the data including (1.0) COVID-19 as a double-edged sword (2.0), The struggle for support (3.0), Constant nature of caring. These included 11 subthemes. (1.1) 'COVID-19 as a catalyst for change', (1.2) 'Challenges during COVID-19: dealing with change', (1.3) 'Challenges during COVID-19: fear of COVID-19', (1.4); 'The online environment: the new normal' (2.1) 'Invisibility of male carers', (2.2) 'Carers supporting carers', (2.3) 'The only service you get is lip service: non-existent services', (2.4); 'Knowing your rights' (3.1) 'Emotional response to the caring role: Feeling devalued', (3.2) 'Emotional response to the caring role: Desperation of caring', (3.3) 'Multiple demands of the caring role.' CONCLUSIONS The COVID-19 pandemic presented immense challenges to family carers of people with PMID but also provided some opportunities. Families had already struggled to receive many of the supports and services to which they were entitled to only to have these removed at the onset of the pandemic. The experiences of male carers have been largely absent from the literature with this research showing they want to be included in decision making and require tailored support services. Service providers should see the end of the COVID-19 pandemic as providing opportunity to re-examine current provision and design services with family carers. As the direct threat from COVID-19 diminishes and the experiences of those who lived through this period come to the fore, there is a need to re-examine current models and provision of support to family carers to better meet their needs.
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Affiliation(s)
- Mark Linden
- School of Nursing and Midwifery, The Queen's University of Belfast, 97 Lisburn Road, Belfast, Northern Ireland, BT9 7BL, UK.
| | - R Leonard
- School of Nursing and Midwifery, The Queen's University of Belfast, 97 Lisburn Road, Belfast, Northern Ireland, BT9 7BL, UK
| | - T Forbes
- School of Nursing and Midwifery, The Queen's University of Belfast, 97 Lisburn Road, Belfast, Northern Ireland, BT9 7BL, UK
| | - M Brown
- School of Nursing and Midwifery, The Queen's University of Belfast, 97 Lisburn Road, Belfast, Northern Ireland, BT9 7BL, UK
| | - L Marsh
- School of Nursing and Midwifery, The Queen's University of Belfast, 97 Lisburn Road, Belfast, Northern Ireland, BT9 7BL, UK
| | - S Todd
- School of Healthcare Sciences, University of South Wales, Cardiff, UK
| | - N Hughes
- ESRC Centre for Care, Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - M Truesdale
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Loh MM, Yaxley N, Moore G, Holmes D, Todd S, Smith A, Macdonald E, Semple S, Cherrie M, Patel M, Hamill R, Leckie A, Dancer SJ, Cherrie JW. Measurement of SARS-CoV-2 in air and on surfaces in Scottish hospitals. J Hosp Infect 2023; 133:1-7. [PMID: 36473553 PMCID: PMC9721166 DOI: 10.1016/j.jhin.2022.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/27/2022] [Accepted: 11/27/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND There are still uncertainties in our knowledge of the amount of SARS-CoV-2 virus present in the environment - where it can be found, and potential exposure determinants - limiting our ability to effectively model and compare interventions for risk management. AIM This study measured SARS-CoV-2 in three hospitals in Scotland on surfaces and in air, alongside ventilation and patient care activities. METHODS Air sampling at 200 L/min for 20 min and surface sampling were performed in two wards designated to treat COVID-19-positive patients and two non-COVID-19 wards across three hospitals in November and December 2020. FINDINGS Detectable samples of SARS-CoV-2 were found in COVID-19 treatment wards but not in non-COVID-19 wards. Most samples were below assay detection limits, but maximum concentrations reached 1.7×103 genomic copies/m3 in air and 1.9×104 copies per surface swab (3.2×102 copies/cm2 for surface loading). The estimated geometric mean air concentration (geometric standard deviation) across all hospitals was 0.41 (71) genomic copies/m3 and the corresponding values for surface contamination were 2.9 (29) copies/swab. SARS-CoV-2 RNA was found in non-patient areas (patient/visitor waiting rooms and personal protective equipment changing areas) associated with COVID-19 treatment wards. CONCLUSION Non-patient areas of the hospital may pose risks for infection transmission and further attention should be paid to these areas. Standardization of sampling methods will improve understanding of levels of environmental contamination. The pandemic has demonstrated a need to review and act upon the challenges of older hospital buildings meeting current ventilation guidance.
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Affiliation(s)
- M M Loh
- Institute of Occupational Medicine, Edinburgh, UK.
| | - N Yaxley
- UK Health Security Agency, Porton Down, UK
| | - G Moore
- UK Health Security Agency, Porton Down, UK
| | - D Holmes
- Institute of Occupational Medicine, Edinburgh, UK
| | - S Todd
- Institute of Occupational Medicine, Edinburgh, UK
| | - A Smith
- Institute of Occupational Medicine, Edinburgh, UK
| | | | - S Semple
- Institute for Social Marketing & Health, University of Stirling, Stirling, UK
| | - M Cherrie
- Institute of Occupational Medicine, Edinburgh, UK
| | | | | | | | - S J Dancer
- NHS Lanarkshire, UK; Edinburgh Napier University, UK
| | - J W Cherrie
- Institute of Occupational Medicine, Edinburgh, UK; Heriot Watt University, Edinburgh, UK
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Linden MA, Forbes T, Brown M, Marsh L, Truesdale M, McCann E, Todd S, Hughes N. Correction: Impact of the COVID-19 pandemic on family carers of those with profound and multiple intellectual disabilities: perspectives from UK and Irish Non-Governmental Organisations. BMC Public Health 2022; 22:2302. [PMID: 36503401 PMCID: PMC9741943 DOI: 10.1186/s12889-022-14740-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- M. A. Linden
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - T. Forbes
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - M. Brown
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - L. Marsh
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - M. Truesdale
- grid.8756.c0000 0001 2193 314XSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
| | - E. McCann
- grid.4464.20000 0001 2161 2573Division of Nursing at City, University of London, London, UK
| | - S. Todd
- grid.410658.e0000 0004 1936 9035School of Care Sciences, University of South Wales, Caerleon, Wales
| | - N. Hughes
- Department of Sociological Studies, University of Shefeld, Shefeld, England
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Linden MA, Forbes T, Brown M, Marsh L, Truesdale M, McCann E, Todd S, Hughes N. Impact of the COVID-19 pandemic on family carers of those with profound and multiple intellectual disabilities: perspectives from UK and Irish Non-Governmental Organisations. BMC Public Health 2022; 22:2095. [PMID: 36384516 PMCID: PMC9668390 DOI: 10.1186/s12889-022-14560-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/07/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Family carers of people with profound and multiple intellectual disabilities (PMID) experienced a reduction in healthcare services due to the COVID-19 pandemic. Many subsequently turned to Non-Governmental Organisations who worked to support families. However, little research has sought to capture the experiences of family carers or identify effective interventions which might support them. To address these concerns we explored the views of Non-Governmental sector workers across the UK and Ireland who supported families people with PMID during the COVID-19 pandemic. We also sought to explore their views on the characteristics of online support programmes for family carers. METHODS: This study employed a qualitative design using focus groups with participants (n = 24) from five Non-Governmental Organisations across the UK and Ireland. A focus group guide included questions on challenges, supports, coping and resources which helped during lockdown restrictions. Focus groups were held online, were audio recorded and transcribed verbatim. The resulting transcripts were pseudonymised and subjected to thematic analysis. FINDINGS Four themes were identified (i) 'mental and emotional health', (ii) 'they who shout the loudest' (fighting for services), (iii) 'lack of trust in statutory services' and (iv) 'creating an online support programme'. Mental and emotional health emerged as the most prominent theme and included three subthemes named as 'isolation', 'fear of COVID-19' and 'the exhaustion of caring'. CONCLUSIONS The COVID-19 pandemic has increased the vulnerability of family carers who were already experiencing difficulties in accessing services and supports for their families. While Non-Governmental Organisations have been a crucial lifeline there is urgent need to design services, including online support programmes, in partnership with family carers which adequately address their needs.
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Affiliation(s)
- M. A. Linden
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - T. Forbes
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - M. Brown
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - L. Marsh
- grid.4777.30000 0004 0374 7521School of Nursing and Midwifery, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL Northern Ireland
| | - M. Truesdale
- grid.8756.c0000 0001 2193 314XSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
| | - E. McCann
- grid.4464.20000 0001 2161 2573Division of Nursing at City, University of London, London, UK
| | - S. Todd
- grid.410658.e0000 0004 1936 9035School of Care Sciences, University of South Wales, Caerleon, Wales
| | - N. Hughes
- grid.11835.3e0000 0004 1936 9262Department of Sociological Studies, University of Sheffield, Sheffield, England
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Tierney B, Todd S, Melby V. 50 SERVICE EVALUATION COMPARING ACUTE CARE AT HOME FOR OLDER SEOPLE SERVICE AND CONVENTIONAL ACUTE HOSPITAL CARE OF THE ELDERLY WARD. Age Ageing 2022. [DOI: 10.1093/ageing/afac218.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Globally, there has been an increased demand for healthcare services caused by population growth and a rise in chronic conditions and an ageing population. Acute Care at Home services offer acute, hospital-level care in a person's own home. Five services have been commissioned across Northern Ireland since 2014 with limited research investigating their feasibility and effectiveness. This study evaluated the impact of a consultant-led Acute Care at Home service in comparison with conventional hospital admission to a care of elderly ward.
Methods
Quantitative design, using service evaluation methodology. A 1-year retrospective chart review was undertaken exploring admission demographics and post-discharge clinical outcomes of patients admitted to a Northern Ireland, Care of the Elderly ward (n = 191) and a consultant-led Acute Care at Home Service (n = 314) between April 2018–March 2019. Data were analysed using descriptive and inferential data analysis methods including frequencies, independent t tests and chi-square analysis. Outcome measurements included length of stay, 30-day, 3-and 6-month readmission and mortality rates, functional ability and residence on discharge. STROBE checklist was used in reporting this study.
Results
Acute Care at Home services are associated with higher readmission and mortality rates at 30 days, 3 and 6 months. Patients admitted to the Acute Care at Home services experience a reduced length of stay and decreased escalation in domiciliary care packages and are less likely to require subacute rehabilitation on discharge. There is no difference in gender, age and early warnings score between the two cohorts.
Conclusion
The Acute Care at Home service is a viable alternative to hospital for older patients. It prevents functional decline and the need for domiciliary care or nursing home placement. Acute Care at Home service has higher mortality and readmissions rates due to treating a higher proportion of dependent, frail older adults.
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Affiliation(s)
- B Tierney
- Western Health and Social Care Trust , Derry City, Ireland
| | - S Todd
- Western Health and Social Care Trust , Derry City, Ireland
| | - V Melby
- Ulster University , Derry City, Northern Ireland
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Joshi A, Todd S, Finn DP, McClean PL, Wong-Lin K. Multi-dimensional relationships among dementia, depression and prescribed drugs in England and Wales hospitals. BMC Med Inform Decis Mak 2022; 22:262. [PMID: 36207697 PMCID: PMC9547465 DOI: 10.1186/s12911-022-01892-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 05/23/2022] [Indexed: 11/17/2022] Open
Abstract
Background Dementia is a group of symptoms that largely affects older people. The majority of patients face behavioural and psychological symptoms (BPSD) during the course of their illness. Alzheimer’s disease (AD) and vascular dementia (VaD) are two of the most prevalent types of dementia. Available medications provide symptomatic benefits and provide relief from BPSD and associated health issues. However, it is unclear how specific dementia, antidepressant, antipsychotic, antianxiety, and mood stabiliser drugs, used in the treatment of depression and dementia subtypes are prescribed in hospital admission, during hospital stay, and at the time of discharge. To address this, we apply multi-dimensional data analytical approaches to understand drug prescribing practices within hospitals in England and Wales. Methods We made use of the UK National Audit of Dementia (NAD) dataset and pre-processed the dataset. We evaluated the pairwise Pearson correlation of the dataset and selected key data features which are highly correlated with dementia subtypes. After that, we selected drug prescribing behaviours (e.g. specific medications at the time of admission, during the hospital stay, and upon discharge), drugs and disorders. Then to shed light on the relations across multiple features or dimensions, we carried out multiple regression analyses, considering the number of dementia, antidepressant, antipsychotic, antianxiety, mood stabiliser, and antiepileptic/anticonvulsant drug prescriptions as dependent variables, and the prescription of other drugs, number of patients with dementia subtypes (AD/VaD), and depression as independent variables. Results In terms of antidepressant drugs prescribed in hospital admission, during stay and discharge, the number of sertraline and venlafaxine prescriptions were associated with the number of VaD patients whilst the number of mirtazapine prescriptions was associated with frontotemporal dementia patients. During admission, the number of lamotrigine prescriptions was associated with frontotemporal dementia patients, and with the number of valproate and dosulepin prescriptions. During discharge, the number of mirtazapine prescriptions was associated with the number of donepezil prescriptions in conjunction with frontotemporal dementia patients. Finally, the number of prescriptions of donepezil/memantine at admission, during hospital stay and at discharge exhibited positive association with AD patients. Conclusion Our analyses reveal a complex, multifaceted set of interactions among prescribed drug types, dementia subtypes, and depression. Supplementary Information The online version contains supplementary material available at 10.1186/s12911-022-01892-9.
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Affiliation(s)
- Alok Joshi
- Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry~Londonderry, Northern Ireland, UK. .,Department of Computer Science, University of Bath, Bath, UK.
| | - Stephen Todd
- Altnagelvin Area Hospital, Western Health and Social Care Trust, Derry~Londonderry, Northern Ireland, UK
| | - David P Finn
- Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Paula L McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Magee Campus, Derry~Londonderry, Northern Ireland, UK
| | - KongFatt Wong-Lin
- Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry~Londonderry, Northern Ireland, UK.
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Wurdack M, Estrecho E, Todd S, Schneider C, Truscott AG, Ostrovskaya EA. Enhancing Ground-State Population and Macroscopic Coherence of Room-Temperature WS_{2} Polaritons through Engineered Confinement. Phys Rev Lett 2022; 129:147402. [PMID: 36240404 DOI: 10.1103/physrevlett.129.147402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 08/31/2022] [Indexed: 06/16/2023]
Abstract
Exciton polaritons (polaritons herein) in transition-metal dichalcogenide monolayers have attracted significant attention due to their potential for polariton-based optoelectronics. Many of the proposed applications rely on the ability to trap polaritons and to reach macroscopic occupation of their ground energy state. Here, we engineer a trap for room-temperature polaritons in an all-dielectric optical microcavity by locally increasing the interactions between the WS_{2} excitons and cavity photons. The resulting confinement enhances the population and the first-order coherence of the polaritons in the ground state, with the latter effect related to dramatic suppression of disorder-induced inhomogeneous dephasing. We also demonstrate efficient population transfer into the trap when optically injecting free polaritons outside of its periphery.
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Affiliation(s)
- M Wurdack
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies and Department of Quantum Science and Technology, Research School of Physics, The Australian National University, Canberra, ACT 2601, Australia
| | - E Estrecho
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies and Department of Quantum Science and Technology, Research School of Physics, The Australian National University, Canberra, ACT 2601, Australia
| | - S Todd
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies and Department of Quantum Science and Technology, Research School of Physics, The Australian National University, Canberra, ACT 2601, Australia
| | - C Schneider
- Institut für Physik, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26126 Oldenburg, Germany
| | - A G Truscott
- Department of Quantum Science and Technology, Research School of Physics, The Australian National University, Canberra, ACT 2601, Australia
| | - E A Ostrovskaya
- ARC Centre of Excellence in Future Low-Energy Electronics Technologies and Department of Quantum Science and Technology, Research School of Physics, The Australian National University, Canberra, ACT 2601, Australia
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McCombe N, Ding X, Prasad G, Finn DP, Todd S, McClean PL, Wong-Lin K, Initiative N. Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. Annu Int Conf IEEE Eng Med Biol Soc 2022; 2022:1098-1104. [PMID: 36086363 DOI: 10.1109/embc48229.2022.9872002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Current machine learning techniques for dementia diagnosis often do not take into account real-world practical constraints, which may include, for example, the cost of diagnostic assessment time and financial budgets. In this work, we built on previous cost-sensitive feature selection approaches by generalising to multiple cost types, while taking into consideration that stakeholders attempting to optimise the dementia care pathway might face multiple non-fungible budget constraints. Our new optimisation algorithm involved the searching of cost-weighting hyperparameters while constrained by total budgets. We then provided a proof of concept using both assessment time cost and financial budget cost. We showed that budget constraints could control the feature selection process in an intuitive and practical manner, while adjusting the hyperparameter increased the range of solutions selected by feature selection. We further showed that our budget-constrained cost optimisation framework could be implemented in a user-friendly graphical user interface sandbox tool to encourage non-technical users and stakeholders to adopt and to further explore and audit the model - a humans-in-the-loop approach. Overall, we suggest that setting budget constraints initially and then fine tuning the cost-weighting hyperparameters can be an effective way to perform feature selection where multiple cost constraints exist, which will in turn lead to more realistic optimising and redesigning of dementia diagnostic assessments. Clinical Relevance-By optimising diagnostic accuracy against various costs (e.g. assessment administration time and financial budget) predictive yet practical dementia diagnostic assessments can be redesigned to suit clinical use.
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Bucholc M, Bauermeister S, Kaur D, McClean PL, Todd S. The impact of hearing impairment and hearing aid use on progression to mild cognitive impairment in cognitively healthy adults: An observational cohort study. Alzheimers Dement (N Y) 2022; 8:e12248. [PMID: 35229022 PMCID: PMC8863441 DOI: 10.1002/trc2.12248] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/25/2021] [Accepted: 12/15/2021] [Indexed: 11/23/2022]
Abstract
INTRODUCTION We assessed the association of self-reported hearing impairment and hearing aid use with cognitive decline and progression to mild cognitive impairment (MCI). METHODS We used a large referral-based cohort of 4358 participants obtained from the National Alzheimer's Coordinating Center. The standard covariate-adjusted Cox proportional hazards model, the marginal structural Cox model with inverse probability weighting, standardized Kaplan-Meier curves, and linear mixed-effects models were applied to test the hypotheses. RESULTS Hearing impairment was associated with increased risk of MCI (standardized hazard ratio [HR] 2.58, 95% confidence interval [CI: 1.73 to 3.84], P = .004) and an accelerated rate of cognitive decline (P < .001). Hearing aid users were less likely to develop MCI than hearing-impaired individuals who did not use a hearing aid (HR 0.47, 95% CI [0.29 to 0.74], P = .001). No difference in risk of MCI was observed between individuals with normal hearing and hearing-impaired adults using hearing aids (HR 0.86, 95% CI [0.56 to 1.34], P = .51). DISCUSSION Use of hearing aids may help mitigate cognitive decline associated with hearing loss.
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Affiliation(s)
- Magda Bucholc
- Cognitive Analytics Research LabSchool of ComputingEngineering & Intelligent SystemsUlster UniversityLondonderryUK
| | | | - Daman Kaur
- Northern Ireland Centre for Stratified MedicineBiomedical Sciences Research InstituteUlster UniversityLondonderryUK
| | - Paula L. McClean
- Northern Ireland Centre for Stratified MedicineBiomedical Sciences Research InstituteUlster UniversityLondonderryUK
| | - Stephen Todd
- Altnagelvin Area HospitalWestern Health and Social Care TrustLondonderryUK
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Mccombe N, Ding X, Prasad G, Gillespie P, Finn DP, Todd S, Mcclean PL, Wong-Lin K. Alzheimer’s Disease Assessments Optimized for Diagnostic Accuracy and Administration Time. IEEE J Transl Eng Health Med 2022; 10:4900809. [PMID: 35557505 PMCID: PMC9089816 DOI: 10.1109/jtehm.2022.3164806] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 01/14/2022] [Accepted: 02/28/2022] [Indexed: 12/28/2022]
Affiliation(s)
- Niamh Mccombe
- Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry Londonderry, Northern Ireland, U.K
| | - Xuemei Ding
- Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry Londonderry, Northern Ireland, U.K
| | - Girijesh Prasad
- Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry Londonderry, Northern Ireland, U.K
| | - Paddy Gillespie
- Health Economic and Policy Analysis Centre, Discipline of Economics, National University of Ireland, Galway, Galway, Ireland
| | - David P. Finn
- Department of Pharmacology and Therapeutics, Galway Neuroscience Centre, School of Medicine, National University of Ireland, Galway, Galway, Ireland
| | - Stephen Todd
- Altnagelvin Area Hospital, Western Health and Social Care Trust, Derry Londonderry, Northern Ireland, U.K
| | - Paula L. Mcclean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Clinical Translational Research and Innovation Centre (C-TRIC), Altnagelvin Hospital Site, Ulster University, Derry Londonderry, Northern Ireland, U.K
| | - Kongfatt Wong-Lin
- Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry Londonderry, Northern Ireland, U.K
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Kaur DP, Finn DP, Bucholc M, Todd S, Wong‐Lin K, McClean PL. Alterations of plasma endocannabinoid levels in MCI and dementia patients. Alzheimers Dement 2021. [DOI: 10.1002/alz.058485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Daman Preet Kaur
- Northern Ireland Center for Stratified Medicine Biomedical Sciences Research Institute Ulster University Londonderry United Kingdom
| | - David P Finn
- Discipline of Pharmacology and Therapeutics National University of Ireland Galway Galway Ireland
| | | | - Stephen Todd
- Altnagelvin Area Hospital Western Health and Social Care Trust Londonderry United Kingdom
| | - KongFatt Wong‐Lin
- Intelligent Systems Research Centre Ulster University Londonderry United Kingdom
| | - Paula L McClean
- Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Londonderry United Kingdom
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Hatton C, Bailey T, Bradshaw J, Caton S, Flynn S, Gillooly A, Jahoda A, Maguire R, Marriott A, Mulhall P, Oloidi E, Taggart L, Todd S, Abbott D, Beyer S, Gore N, Heslop P, Scior K, Hastings RP. The willingness of UK adults with intellectual disabilities to take COVID-19 vaccines. J Intellect Disabil Res 2021; 65:949-961. [PMID: 34529314 PMCID: PMC8657332 DOI: 10.1111/jir.12884] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/29/2021] [Accepted: 08/29/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Given the much greater COVID-19 mortality risk experienced by people with intellectual disabilities (ID), understanding the willingness of people with ID to take a COVID-19 vaccine is a major public health issue. METHOD In December 2020 to February 2021, across the United Kingdom, 621 adults with ID were interviewed remotely and 348 family carers or support workers of adults with ID with greater needs completed an online survey, including a question on willingness to take a COVID-19 vaccine if offered. RESULTS Eighty-seven per cent of interviewees with ID were willing to take a COVID-19 vaccine, with willingness associated with white ethnicity, having already had a flu vaccine, gaining information about COVID-19 from television but not from social media, and knowing COVID-19 social restrictions rules. A percentage of 81.7% of surveyed carers of adults with ID with greater needs reported that the person would be willing to take a COVID-19 vaccine, with willingness associated with white ethnicity, having a health condition of concern in the context of COVID-19, having had a flu vaccine, being close to someone who had died due to COVID-19, and having shielded at some point during the pandemic. CONCLUSIONS Reported willingness to take the COVID-19 vaccine is high among adults with ID in the United Kingdom, with factors associated with willingness having clear implications for public health policy and practice.
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Affiliation(s)
- C. Hatton
- Department of Social Care and Social WorkManchester Metropolitan UniversityManchesterUK
| | - T. Bailey
- Centre for Educational Development, Appraisal and ResearchUniversity of WarwickCoventryUK
| | | | - S. Caton
- Department of Social Care and Social WorkManchester Metropolitan UniversityManchesterUK
| | - S. Flynn
- Centre for Educational Development, Appraisal and ResearchUniversity of WarwickCoventryUK
| | - A. Gillooly
- Institute of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - A. Jahoda
- Institute of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - R. Maguire
- Institute of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - A. Marriott
- National Development Team for InclusionBathUK
| | - P. Mulhall
- Institute of Nursing and Health ResearchUniversity of UlsterJordanstownUK
| | - E. Oloidi
- Unit for Development in Intellectual and Developmental DisabilitiesUniversity of South WalesPontypriddUK
| | - L. Taggart
- Institute of Nursing and Health ResearchUniversity of UlsterJordanstownUK
| | - S. Todd
- Unit for Development in Intellectual and Developmental DisabilitiesUniversity of South WalesPontypriddUK
| | - D. Abbott
- School for Policy StudiesUniversity of BristolBristolUK
| | - S. Beyer
- School of MedicineUniversity of CardiffCardiffUK
| | - N. Gore
- Tizard CentreUniversity of KentCanterburyUK
| | - P. Heslop
- School for Policy StudiesUniversity of BristolBristolUK
| | - K. Scior
- Division of Psychology and Language SciencesUniversity College LondonLondonUK
| | - R. P. Hastings
- Centre for Educational Development, Appraisal and ResearchUniversity of WarwickCoventryUK
- Centre for Developmental Psychiatry and PsychologyMonash UniversityMelbourneVICAustralia
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McCombe N, Liu S, Ding X, Prasad G, Bucholc M, Finn DP, Todd S, McClean PL, Wong-Lin K. Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. IEEE J Biomed Health Inform 2021; 26:818-827. [PMID: 34288882 DOI: 10.1109/jbhi.2021.3098511] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Accurate computational models for clinical decision support systems require clean and reliable data but, in clinical practice, data are often incomplete. Hence, missing data could arise not only from training datasets but also test datasets which could consist of a single undiagnosed case, an individual. This work addresses the problem of extreme missingness in both training and test data by evaluating multiple imputation and classification workflows based on both diagnostic classification accuracy and computational cost. Extreme missingness is defined as having ~50% of the total data missing in more than half the data features. In particular, we focus on dementia diagnosis due to long time delays, high variability, high attrition rates and lack of practical data imputation strategies in its diagnostic pathway. We identified and replicated the extreme missingness structure of data from a real-world memory clinic on a larger open dataset, with the original complete data acting as ground truth. Overall, we found that computational cost, but not accuracy, varies widely for various imputation and classification approaches. Particularly, we found that iterative imputation on the training dataset combined with a reduced-feature classification model provides the best approach, in terms of speed and accuracy. Taken together, this work has elucidated important factors to be considered when developing a predictive model for a dementia diagnostic support system.
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Tierney B, Melby V, Todd S. Service evaluation comparing Acute Care at Home for older people service and conventional service within an acute hospital care of elderly ward. J Clin Nurs 2021; 30:2978-2989. [PMID: 34216068 DOI: 10.1111/jocn.15805] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/27/2021] [Accepted: 03/23/2021] [Indexed: 11/30/2022]
Abstract
AIMS AND OBJECTIVES This study evaluated the impact of a consultant-led Acute Care at Home service in comparison with conventional hospital admission to a care of elderly ward. BACKGROUND Globally, there has been an increased demand for healthcare services caused by population growth and a rise in chronic conditions and an ageing population. Acute Care at Home services offer acute, hospital-level care in a person's own home. Five services have been commissioned across Northern Ireland since 2014 with limited research investigating their feasibility and effectiveness. DESIGN Quantitative design, using service evaluation methodology. METHODS A 1-year retrospective chart review was undertaken exploring admission demographics and post-discharge clinical outcomes of patients admitted to a Northern Ireland, Care of the Elderly ward (n = 191) and a consultant-led Acute Care at Home Service (n = 314) between April 2018-March 2019. Data were analysed using descriptive and inferential data analysis methods including frequencies, independent t tests and chi-square analysis. Outcome measurements included length of stay, 30-day, 3- and 6-month readmission and mortality rates, functional ability and residence on discharge. STROBE checklist was used in reporting this study. RESULTS Acute Care at Home services are associated with higher readmission and mortality rates at 30 days, 3 and 6 months. Fewer patients die while under Acute Care at Home care. Patients admitted to the Acute Care at Home services experience a reduced length of stay and decreased escalation in domiciliary care packages and are less likely to require subacute rehabilitation on discharge. There is no difference in gender, age and early warnings score between the two cohorts. CONCLUSION The Acute Care at Home service is a viable alternative to hospital for older patients. It prevents functional decline and the need for domiciliary care or nursing home placement. It is likely that the Acute Care at Home service has higher mortality and readmissions rates due to treating a higher proportion of dependent, frail older adults. RELEVANCE TO CLINICAL PRACTICE Acute Care at Home services continue to evolve worldwide. This service evaluation has confirmed that Acute Care at Home services are safe and cost-effective alternatives to traditional older people hospital services. Such services offer patient choice, reduce length of stay and costs and prevent functional decline of older adults. This study accentuates the need to expand Acute Care at Home provision and capacity throughout Northern Ireland.
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Affiliation(s)
- Barry Tierney
- Western Health and Social Care Trust, Londonderry, UK
| | - Vidar Melby
- School of Nursing and Institute of Nursing and Health Research, Ulster University, Derry, UK
| | - Stephen Todd
- Western Health and Social Care Trust, Londonderry, UK
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Butterworth R, Todd S, Dickson C. P.82 Improving anaesthetic maternity follow-up through adoption of electronic maternity records. Int J Obstet Anesth 2021. [DOI: 10.1016/j.ijoa.2021.103080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Todd S, Todd P, McGowan SJ, Hughes JR, Kakui Y, Leymarie FF, Latham W, Taylor S. CSynth: an interactive modelling and visualization tool for 3D chromatin structure. Bioinformatics 2021; 37:951-955. [PMID: 32866221 PMCID: PMC8128456 DOI: 10.1093/bioinformatics/btaa757] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/18/2020] [Accepted: 08/24/2020] [Indexed: 01/22/2023] Open
Abstract
MOTIVATION The 3D structure of chromatin in the nucleus is important for gene expression and regulation. Chromosome conformation capture techniques, such as Hi-C, generate large amounts of data showing interaction points on the genome but these are hard to interpret using standard tools. RESULTS We have developed CSynth, an interactive 3D genome browser and real-time chromatin restraint-based modeller to visualize models of any chromosome conformation capture (3C) data. Unlike other modelling systems, CSynth allows dynamic interaction with the modelling parameters to allow experimentation and effects on the model. It also allows comparison of models generated from data in different tissues/cell states and the results of third-party 3D modelling outputs. In addition, we include an option to view and manipulate these complicated structures using Virtual Reality (VR) so scientists can immerse themselves in the models for further understanding. This VR component has also proven to be a valuable teaching and a public engagement tool. AVAILABILITYAND IMPLEMENTATION CSynth is web based and available to use at csynth.org. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Stephen Todd
- Department of Computing, Goldsmiths, University of London, London, UK
- London Geometry, Ltd., London, UK
| | | | - Simon J McGowan
- Analysis, Visualization and Informatics, MRC Weatherall Institute of Molecular Medicine, Oxford, UK
| | - James R Hughes
- Genome Biology Group, MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Oxford, UK
| | - Yasutaka Kakui
- The Francis Crick Institute, Chromosome Segregation Laboratory, London, UK
| | - Frederic Fol Leymarie
- Department of Computing, Goldsmiths, University of London, London, UK
- London Geometry, Ltd., London, UK
| | - William Latham
- Department of Computing, Goldsmiths, University of London, London, UK
- London Geometry, Ltd., London, UK
| | - Stephen Taylor
- Analysis, Visualization and Informatics, MRC Weatherall Institute of Molecular Medicine, Oxford, UK
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18
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Bucholc M, McClean PL, Bauermeister S, Todd S, Ding X, Ye Q, Wang D, Huang W, Maguire LP. Association of the use of hearing aids with the conversion from mild cognitive impairment to dementia and progression of dementia: A longitudinal retrospective study. Alzheimers Dement (N Y) 2021; 7:e12122. [PMID: 33614893 PMCID: PMC7882528 DOI: 10.1002/trc2.12122] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 09/12/2020] [Accepted: 11/11/2020] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Hearing aid usage has been linked to improvements in cognition, communication, and socialization, but the extent to which it can affect the incidence and progression of dementia is unknown. Such research is vital given the high prevalence of dementia and hearing impairment in older adults, and the fact that both conditions often coexist. In this study, we examined for the first time the effect of the use of hearing aids on the conversion from mild cognitive impairment (MCI) to dementia and progression of dementia. METHODS We used a large referral-based cohort of 2114 hearing-impaired patients obtained from the National Alzheimer's Coordinating Center. Survival analyses using multivariable Cox proportional hazards regression model and weighted Cox regression model with censored data were performed to assess the effect of hearing aid use on the risk of conversion from MCI to dementia and risk of death in hearing-impaired participants. Disease progression was assessed with Clinical Dementia Rating Sum of Boxes (CDR-SB) scores. Three types of sensitivity analyses were performed to validate the robustness of the results. RESULTS MCI participants that used hearing aids were at significantly lower risk of developing all-cause dementia compared to those not using hearing aids (hazard ratio [HR] 0.73, 95% confidence interval [CI], 0.61 to 0.89; false discovery rate [FDR] P = 0.004). The mean annual rate of change (standard deviation) in CDR-SB scores for hearing aid users with MCI was 1.3 (1.45) points and significantly lower than for individuals not wearing hearing aids with a 1.7 (1.95) point increase in CDR-SB per year (P = 0.02). No association between hearing aid use and risk of death was observed. Our findings were robust subject to sensitivity analyses. DISCUSSION Among hearing-impaired adults, hearing aid use was independently associated with reduced dementia risk. The causality between hearing aid use and incident dementia should be further tested.
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Affiliation(s)
- Magda Bucholc
- Cognitive Analytics Research LabSchool of Computing, Engineering & Intelligent SystemsUlster UniversityDerryUK
| | - Paula L. McClean
- Northern Ireland Centre for Stratified MedicineBiomedical Sciences Research InstituteClinical Translational Research and Innovation Centre (C‐TRIC)Ulster UniversityDerryUK
| | | | - Stephen Todd
- Altnagelvin Area HospitalWestern Health and Social Care TrustDerryUK
| | - Xuemei Ding
- Cognitive Analytics Research LabSchool of Computing, Engineering & Intelligent SystemsUlster UniversityDerryUK
- Fujian Provincial Engineering Technology Research Centre for Public Service Big Data Mining and ApplicationCollege of Mathematics and InformaticsFujian Normal UniversityFuzhouFujianChina
| | - Qinyong Ye
- Department of NeurologyFujian Medical University Union HospitalFuzhouFujianChina
| | - Desheng Wang
- Department of OtolaryngologyFujian Medical University Union HospitalFuzhouFujianChina
| | - Wei Huang
- Department of OtolaryngologyFujian Medical University Union HospitalFuzhouFujianChina
| | - Liam P. Maguire
- Cognitive Analytics Research LabSchool of Computing, Engineering & Intelligent SystemsUlster UniversityDerryUK
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Zanin M, Aitya NA, Basilio J, Baumbach J, Benis A, Behera CK, Bucholc M, Castiglione F, Chouvarda I, Comte B, Dao TT, Ding X, Pujos-Guillot E, Filipovic N, Finn DP, Glass DH, Harel N, Iesmantas T, Ivanoska I, Joshi A, Boudjeltia KZ, Kaoui B, Kaur D, Maguire LP, McClean PL, McCombe N, de Miranda JL, Moisescu MA, Pappalardo F, Polster A, Prasad G, Rozman D, Sacala I, Sanchez-Bornot JM, Schmid JA, Sharp T, Solé-Casals J, Spiwok V, Spyrou GM, Stalidzans E, Stres B, Sustersic T, Symeonidis I, Tieri P, Todd S, Van Steen K, Veneva M, Wang DH, Wang H, Wang H, Watterson S, Wong-Lin K, Yang S, Zou X, Schmidt HH. An Early Stage Researcher's Primer on Systems Medicine Terminology. Netw Syst Med 2021; 4:2-50. [PMID: 33659919 PMCID: PMC7919422 DOI: 10.1089/nsm.2020.0003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic.
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Affiliation(s)
- Massimiliano Zanin
- Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Madrid, Spain
| | - Nadim A.A. Aitya
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - José Basilio
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Jan Baumbach
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Arriel Benis
- Faculty of Technology Management, Holon Institute of Technology (HIT), Holon, Israel
| | - Chandan K. Behera
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Magda Bucholc
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Filippo Castiglione
- CNR National Research Council, IAC Institute for Applied Computing, Rome, Italy
| | - Ioanna Chouvarda
- Lab of Computing, Medical Informatics, and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Blandine Comte
- Université Clermont Auvergne, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
| | - Tien-Tuan Dao
- Biomechanics and Bioengineering Laboratory (UMR CNRS 7338), Université de Technologie de Compiègne, Compiègne, France
- Labex MS2T “Control of Technological Systems-of-Systems,” CNRS and Université de Technologie de Compiègne, Compiègne, France
| | - Xuemei Ding
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Estelle Pujos-Guillot
- Université Clermont Auvergne, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
| | - Nenad Filipovic
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
- Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
- Steinbeis Advanced Risk Technologies Institute doo Kragujevac, Kragujevac, Serbia
| | - David P. Finn
- Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre, National University of Ireland, Galway, Republic of Ireland
| | - David H. Glass
- School of Computing, Ulster University, Ulster, United Kingdom
| | - Nissim Harel
- Faculty of Sciences, Holon Institute of Technology (HIT), Holon, Israel
| | - Tomas Iesmantas
- Department of Mathematics and Natural Sciences, Kaunas University of Technology, Kaunas, Lithuania
| | - Ilinka Ivanoska
- Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia
| | - Alok Joshi
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Karim Zouaoui Boudjeltia
- Laboratory of Experimental Medicine (ULB 222), Medicine Faculty, Université libre de Bruxelles, CHU de Charleroi, Charleroi, Belgium
| | - Badr Kaoui
- Biomechanics and Bioengineering Laboratory (UMR CNRS 7338), Université de Technologie de Compiègne, Compiègne, France
- Labex MS2T “Control of Technological Systems-of-Systems,” CNRS and Université de Technologie de Compiègne, Compiègne, France
| | - Daman Kaur
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Ulster, United Kingdom
| | - Liam P. Maguire
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Paula L. McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Ulster, United Kingdom
| | - Niamh McCombe
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - João Luís de Miranda
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Portalegre, Portalegre, Portugal
- Centro de Recursos Naturais e Ambiente (CERENA), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
| | | | | | - Annikka Polster
- Centre for Molecular Medicine Norway (NCMM), Forskningparken, Oslo, Norway
| | - Girijesh Prasad
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Damjana Rozman
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Ioan Sacala
- Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania
| | - Jose M. Sanchez-Bornot
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Johannes A. Schmid
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Trevor Sharp
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Jordi Solé-Casals
- Data and Signal Processing Research Group, University of Vic–Central University of Catalonia, Vic, Spain
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- College of Artificial Intelligence, Nankai University, Tianjin, China
| | - Vojtěch Spiwok
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic
| | - George M. Spyrou
- The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Egils Stalidzans
- Computational Systems Biology Group, Institute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia
| | - Blaž Stres
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
- Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Slovenia
- Department of Automation, Biocybernetics and Robotics, Jozef Stefan Institute, Ljubljana, Slovenia
| | - Tijana Sustersic
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
- Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
- Steinbeis Advanced Risk Technologies Institute doo Kragujevac, Kragujevac, Serbia
| | - Ioannis Symeonidis
- Center for Research and Technology Hellas, Hellenic Institute of Transport, Thessaloniki, Greece
| | - Paolo Tieri
- CNR National Research Council, IAC Institute for Applied Computing, Rome, Italy
| | - Stephen Todd
- Altnagelvin Area Hospital, Western Health and Social Care Trust, Altnagelvin, United Kingdom
| | - Kristel Van Steen
- BIO3-Systems Genetics, GIGA-R, University of Liege, Liege, Belgium
- BIO3-Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | - Da-Hui Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, and School of Systems Science, Beijing Normal University, Beijing, China
| | - Haiying Wang
- School of Computing, Ulster University, Ulster, United Kingdom
| | - Hui Wang
- School of Computing, Ulster University, Ulster, United Kingdom
| | - Steven Watterson
- Northern Ireland Centre for Stratified Medicine, Ulster University, Londonderry, United Kingdom
| | - KongFatt Wong-Lin
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Su Yang
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Xin Zou
- Shanghai Centre for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Harald H.H.W. Schmidt
- Faculty of Health, Medicine & Life Science, Maastricht University, Maastricht, The Netherlands
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Abstract
We investigate implicit vocabulary learning by adults who are exposed to a language in their ambient environment. Most New Zealanders do not speak Māori, yet are exposed to it throughout their lifetime. We show that this exposure leads to a large proto-lexicon - implicit knowledge of the existence of words and sub-word units without any associated meaning. Despite not explicitly knowing many Māori words, non-Māori-speaking New Zealanders are able to access this proto-lexicon to distinguish Māori words from Māori-like nonwords. What's more, they are able to generalize over the proto-lexicon to generate sophisticated phonotactic knowledge, which lets them evaluate the well-formedness of Māori-like nonwords just as well as fluent Māori speakers.
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Affiliation(s)
- Y Oh
- New Zealand Institute of Language, Brain and Behaviour, NZILBB, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand.
- Department of French Language and Literature, Ajou University, Suwon, South Korea.
| | - S Todd
- New Zealand Institute of Language, Brain and Behaviour, NZILBB, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
- Department of Linguistics, University of California, Santa Barbara, USA
| | - C Beckner
- Department of Applied Linguistics, University of Warwick, Coventry, UK
| | - J Hay
- New Zealand Institute of Language, Brain and Behaviour, NZILBB, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
- Department of Linguistics, University of Canterbury, Christchurch, New Zealand
| | - J King
- New Zealand Institute of Language, Brain and Behaviour, NZILBB, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
- Aotahi - School of Māori and Indigenous Studies, University of Canterbury, Christchurch, New Zealand
| | - J Needle
- New Zealand Institute of Language, Brain and Behaviour, NZILBB, University of Canterbury, Private Bag 4800, Christchurch, 8140, New Zealand
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Wong-Lin K, McClean PL, McCombe N, Kaur D, Sanchez-Bornot JM, Gillespie P, Todd S, Finn DP, Joshi A, Kane J, McGuinness B. Shaping a data-driven era in dementia care pathway through computational neurology approaches. BMC Med 2020; 18:398. [PMID: 33323116 PMCID: PMC7738245 DOI: 10.1186/s12916-020-01841-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 11/03/2020] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Dementia is caused by a variety of neurodegenerative diseases and is associated with a decline in memory and other cognitive abilities, while inflicting an enormous socioeconomic burden. The complexity of dementia and its associated comorbidities presents immense challenges for dementia research and care, particularly in clinical decision-making. MAIN BODY Despite the lack of disease-modifying therapies, there is an increasing and urgent need to make timely and accurate clinical decisions in dementia diagnosis and prognosis to allow appropriate care and treatment. However, the dementia care pathway is currently suboptimal. We propose that through computational approaches, understanding of dementia aetiology could be improved, and dementia assessments could be more standardised, objective and efficient. In particular, we suggest that these will involve appropriate data infrastructure, the use of data-driven computational neurology approaches and the development of practical clinical decision support systems. We also discuss the technical, structural, economic, political and policy-making challenges that accompany such implementations. CONCLUSION The data-driven era for dementia research has arrived with the potential to transform the healthcare system, creating a more efficient, transparent and personalised service for dementia.
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Affiliation(s)
- KongFatt Wong-Lin
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Magee Campus, Londonderry, Northern Ireland, UK.
| | - Paula L McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Magee Campus, Londonderry, Northern Ireland, UK
| | - Niamh McCombe
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Magee Campus, Londonderry, Northern Ireland, UK
| | - Daman Kaur
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Magee Campus, Londonderry, Northern Ireland, UK
| | - Jose M Sanchez-Bornot
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Magee Campus, Londonderry, Northern Ireland, UK
| | - Paddy Gillespie
- Health Economics and Policy Analysis Centre, Discipline of Economics, National University of Ireland, Galway, Ireland
| | - Stephen Todd
- Altnagelvin Area Hospital, Western Health and Social Care Trust, Londonderry, Northern Ireland, UK
| | - David P Finn
- Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre, National University of Ireland, Galway, Ireland
| | - Alok Joshi
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Magee Campus, Londonderry, Northern Ireland, UK
| | - Joseph Kane
- School of Medicine, Dentistry and Biomedical Sciences, Institute for Health Sciences, Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Bernadette McGuinness
- School of Medicine, Dentistry and Biomedical Sciences, Institute for Health Sciences, Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland, UK
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Kaur D, Bucholc M, Finn DP, Todd S, Wong-Lin K, McClean PL. Multi-time-point data preparation robustly reveals MCI and dementia risk factors. Alzheimers Dement (Amst) 2020; 12:e12116. [PMID: 33088897 PMCID: PMC7560502 DOI: 10.1002/dad2.12116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/05/2020] [Accepted: 09/16/2020] [Indexed: 12/25/2022]
Abstract
Introduction Conflicting results on dementia risk factors have been reported across studies. We hypothesize that variation in data preparation methods may partially contribute to this issue. Methods We propose a comprehensive data preparation approach comparing individuals with stable diagnosis over time to those who progress to mild cognitive impairment (MCI)/dementia. This was compared to the often-used "baseline" analysis. Multivariate logistic regression was used to evaluate both methods. Results The results obtained from sensitivity analyses were consistent with those from our multi-time-point data preparation approach, exhibiting its robustness. Compared to analysis using only baseline data, the number of significant risk factors identified in progression analyses was substantially lower. Additionally, we found that moderate depression increased healthy-to-MCI/dementia risk, while hypertension reduced MCI-to-dementia risk. Discussion Overall, multi-time-point-based data preparation approaches may pave the way for a better understanding of dementia risk factors, and address some of the reproducibility issues in the field.
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Affiliation(s)
- Daman Kaur
- Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Clinical Translational Research and Innovation Centre (C-TRIC) Altnagelvin Hospital Site Ulster University Derry/Londonderry Northern Ireland UK
| | - Magda Bucholc
- Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Derry/Londonderry Northern Ireland UK
| | - David P Finn
- Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway University Road Galway Republic of Ireland
| | - Stephen Todd
- Altnagelvin Area Hospital Western Health and Social Care Trust Derry/Londonderry Northern Ireland UK
| | - KongFatt Wong-Lin
- Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Derry/Londonderry Northern Ireland UK
| | - Paula L McClean
- Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Clinical Translational Research and Innovation Centre (C-TRIC) Altnagelvin Hospital Site Ulster University Derry/Londonderry Northern Ireland UK
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23
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Kuznicki M, Mallen A, Eggers E, Lam C, Regis J, Todd S, Tanner J, Anderson M, Rutherford T. Preliminary prospective quality of life and clinical outcomes with an opiate restrictive enhanced recovery protocol in a gynecologic oncology population. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.06.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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24
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Hodge T, Metzinger D, Pierson R, Gaskins J, Todd S. Patient outcomes following robotic radical hysterectomy in women with early stage cervical cancer: A retrospective analysis of outcomes from a high-volume robotic surgical program. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.05.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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25
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Todd S, Bowen J, Ibiebele I, Patterson J, Torvaldsen S, Ford F, Nippita M, Morris J, Randall D. A composite neonatal adverse outcome indicator using population-based data: an update. Int J Popul Data Sci 2020; 5:1337. [PMID: 33644407 PMCID: PMC7893849 DOI: 10.23889/ijpds.v5i1.1337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Introduction Severe morbidity rates in neonates can be estimated using diagnosis and procedure coding in linked routinely collected retrospective data as a cost-effective way to monitor quality and safety of perinatal services. Coding changes necessitate an update to the previously published composite neonatal adverse outcome indicator for identifying infants with severe or medically significant morbidity. Objectives To update the neonatal adverse outcome indicator for identifying neonates with severe or medically significant morbidity, and to investigate the validity of the updated indicator. Methods We audited diagnosis and procedure codes and used expert clinician input to update the components of the indicator. We used linked birth, hospital and death data for neonates born alive at 24 weeks or more in New South Wales, Australia (2002–2014) to describe the incidence of neonatal morbidity and assess the validity of the updated indicator. Results The updated indicator included 28 diagnostic and procedure components. In our population of 1,194,681 live births, 5.44% neonates had some form of morbidity. The rate of morbidity was greater for higher-risk pregnancies and was lowest for those born at 39–40 weeks’ gestation. Incidence increased over the study period for overall neonatal morbidity, and for individual components: intravenous infusion, respiratory diagnoses, and non-invasive ventilation. Severe or medically significant neonatal morbidity was associated with double the risk of hospital readmission and 10 times the risk of death within the first year of life. Conclusion The updated composite indicator has maintained concurrent and predictive validity and is a standardised, economic way to measure neonatal morbidity when using population-based data. Changes within individual components should be considered when examining longitudinal data.
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Affiliation(s)
- S Todd
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia.,NSW Biostatistics Training Program, NSW Ministry of Health, St Leonards, NSW 2065, Australia
| | - J Bowen
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia.,Department of Neonatology, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
| | - I Ibiebele
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia
| | - J Patterson
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia
| | - S Torvaldsen
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia.,School of Public Health and Community Medicine, University of New South Wales, NSW 2033, Australia
| | - F Ford
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia
| | - M Nippita
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia.,Department of Obstetrics and Gynaecology, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
| | - J Morris
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia.,Department of Obstetrics and Gynaecology, Royal North Shore Hospital, St Leonards, NSW 2065, Australia
| | - D Randall
- The University of Sydney Northern Clinical School, Women and Babies Research, St Leonards, NSW 2065, Australia.,Northern Sydney Local Health District, Kolling Institute, St Leonards, NSW 2065, Australia
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26
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Leavey G, Corry DS, Waterhouse-Bradley B, Curran E, Todd S, McIlfatrick S, Coates V, Watson M, Abbott A, McCrory B, McCormack B. Acceptability and use of a patient-held communication tool for people living with dementia: a longitudinal qualitative study. BMJ Open 2020; 10:e036249. [PMID: 32376757 PMCID: PMC7223142 DOI: 10.1136/bmjopen-2019-036249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 03/24/2020] [Accepted: 04/06/2020] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES To assess the acceptability and use of a low-cost patient-held communication tool. DESIGN Longitudinal qualitative interviews at three time points over 18 months and document content analysis. SETTING Primary and community services. PARTICIPANTS Twenty-eight dyads: People living with dementia in Northern Ireland and their informal carers. INTERVENTIONS A patient-held healthcare 'passport' for people living with dementia. PRIMARY AND SECONDARY OUTCOMES Acceptability and use of the passport-barriers and facilitators to successful engagement. RESULTS There was a qualified appreciation of the healthcare passport and a much more nuanced, individualistic or personalised approach to its desirability and use. How people perceive it and what they actually do with it are strongly determined by individual contexts, dementia stage and other health problems, social and family needs and capacities. We noted concerns about privacy and ambivalence about engaging with health professionals. CONCLUSION Such tools may be of use but there is a need for demanding, thoughtful and nuanced programme delivery for future implementation in dementia care. The incentivisation and commitment of general practitioners is crucial. Altering the asymmetrical relationship between professionals and patients requires more extensive attention.
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Affiliation(s)
- Gerard Leavey
- Psychology, Ulster University, Coleraine, UK
- Bamford Centre for Mental Health and Wellbeing, Ulster University, Coleraine Campus, Coleraine, UK
| | - Dagmar Suzanna Corry
- Psychology, Ulster University, Coleraine, UK
- Bamford Centre for Mental Health and Wellbeing, Ulster University, Coleraine Campus, Coleraine, UK
| | | | - Emma Curran
- Bamford Centre for Mental Health and Wellbeing, Ulster University, Coleraine Campus, Coleraine, UK
| | - Stephen Todd
- Geriatrics, Altnagelvin Hospitals Health and Social Services Trust, Londonderry, UK
| | | | - Vivien Coates
- Department of Nursing and Health Sciences, Ulster University, Coleraine Campus, Coleraine, UK
| | - Max Watson
- Nursing and Health Sciences, Ulster University, Belfast, UK
| | - Aine Abbott
- Integrated Care Clinic, Western Health & Social Care NHS Trust, Derry, UK
| | - Bernadine McCrory
- Chief Executive Officer, Alzheimer's Society Northern Ireland, Belfast, UK
| | - Brendan McCormack
- Centre for Person-centred Practice Research, Queen Margaret University, Edinburgh, UK
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27
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Affiliation(s)
- Stephen Todd
- Altnagelvin Area Hospital and honorary lecturer, Queen's University Belfast, UK
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Bucholc M, Ding X, Wang H, Glass DH, Wang H, Prasad G, Maguire LP, Bjourson AJ, McClean PL, Todd S, Finn DP, Wong-Lin K. A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst Appl 2019; 130:157-171. [PMID: 31402810 PMCID: PMC6688646 DOI: 10.1016/j.eswa.2019.04.022] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Computerized clinical decision support systems can help to provide objective, standardized, and timely dementia diagnosis. However, current computerized systems are mainly based on group analysis, discrete classification of disease stages, or expensive and not readily accessible biomarkers, while current clinical practice relies relatively heavily on cognitive and functional assessments (CFA). In this study, we developed a computational framework using a suite of machine learning tools for identifying key markers in predicting the severity of Alzheimer's disease (AD) from a large set of biological and clinical measures. Six machine learning approaches, namely Kernel Ridge Regression (KRR), Support Vector Regression, and k-Nearest Neighbor for regression and Support Vector Machine (SVM), Random Forest, and k-Nearest Neighbor for classification, were used for the development of predictive models. We demonstrated high predictive power of CFA. Predictive performance of models incorporating CFA was shown to consistently have higher accuracy than those based solely on biomarker modalities. We found that KRR and SVM were the best performing regression and classification methods respectively. The optimal SVM performance was observed for a set of four CFA test scores (FAQ, ADAS13, MoCA, MMSE) with multi-class classification accuracy of 83.0%, 95%CI = (72.1%, 93.8%) while the best performance of the KRR model was reported with combined CFA and MRI neuroimaging data, i.e., R 2 = 0.874, 95%CI = (0.827, 0.922). Given the high predictive power of CFA and their widespread use in clinical practice, we then designed a data-driven and self-adaptive computerized clinical decision support system (CDSS) prototype for evaluating the severity of AD of an individual on a continuous spectrum. The system implemented an automated computational approach for data pre-processing, modelling, and validation and used exclusively the scores of selected cognitive measures as data entries. Taken together, we have developed an objective and practical CDSS to aid AD diagnosis.
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Affiliation(s)
- Magda Bucholc
- Intelligent Systems Research Centre, School of Computing, Engineering & Intelligent Systems, Ulster University, Magee campus, Northern Ireland, United Kingdom
| | - Xuemei Ding
- Cognitive Analytics Research Lab, School of Computing, Engineering & Intelligent Systems, Ulster University, Magee campus, Northern Ireland, United Kingdom
- Fujian Provincial Engineering Technology Research Centre for Public Service Big Data Mining and Application, College of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, 350108, China
| | - Haiying Wang
- School of Computing and Mathematics, Ulster University, Jordanstown campus, Northern Ireland, United Kingdom
| | - David H. Glass
- School of Computing and Mathematics, Ulster University, Jordanstown campus, Northern Ireland, United Kingdom
| | - Hui Wang
- School of Computing and Mathematics, Ulster University, Jordanstown campus, Northern Ireland, United Kingdom
| | - Girijesh Prasad
- Intelligent Systems Research Centre, School of Computing, Engineering & Intelligent Systems, Ulster University, Magee campus, Northern Ireland, United Kingdom
| | - Liam P. Maguire
- Intelligent Systems Research Centre, School of Computing, Engineering & Intelligent Systems, Ulster University, Magee campus, Northern Ireland, United Kingdom
| | - Anthony J. Bjourson
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Northern Ireland, United Kingdom
| | - Paula L. McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Northern Ireland, United Kingdom
| | - Stephen Todd
- Altnagelvin Area Hospital, Western Health and Social Care Trust, Northern Ireland, United Kingdom
| | - David P. Finn
- Pharmacology and Therapeutics, School of Medicine, and NCBES Galway Neuroscience Centre, National University of Ireland, Galway, Republic of Ireland
| | - KongFatt Wong-Lin
- Intelligent Systems Research Centre, School of Computing, Engineering & Intelligent Systems, Ulster University, Magee campus, Northern Ireland, United Kingdom
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Bucholc M, Ding X, Wong-Ling K, McClean P, Todd S, Maguire L. O1‐02‐02: THE IMPACT OF HEARING LOSS AND SENSORY INTERVENTION ON THE RISK OF PROGRESSION TO DEMENTIA IN MILD COGNITIVE IMPAIRMENT CASES. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Magda Bucholc
- Intelligent Systems Research Centre Ulster University Londonderry United Kingdom
| | - Xuemei Ding
- Intelligent Systems Research Centre Ulster University Londonderry United Kingdom
- College of Mathematics and Informatics Fujian Normal University Fuzhou China
| | - KongFatt Wong-Ling
- Intelligent Systems Research Centre Ulster University Londonderry United Kingdom
| | - Paula McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University Londonderry United Kingdom
| | - Stephen Todd
- Altnagelvin Area Hospital Western Health and Social Care Trust Londonderry United Kingdom
| | - Liam Maguire
- Intelligent Systems Research Centre Ulster University Londonderry United Kingdom
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30
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Mallen A, Townsend M, Boac B, Todd S, Gandhi A, Kuznicki M, Magliocco A, Fridley B, Tworoger S, Vadaparampil S, Wenham R. Predictive factors of genetic referral for advanced, epithelial ovarian cancer patients at a Single-Institution Cancer Center. Gynecol Oncol 2019. [DOI: 10.1016/j.ygyno.2019.03.191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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31
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Bucholc M, Titarenko S, Wong-Ling K, Ding X, McClean P, Todd S, Finn D, Maguire L. P1-325: A HYBRID MACHINE LEARNING APPROACH FOR PREDICTION OF CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER'S DISEASE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Magda Bucholc
- Intelligent Systems Research Centre; Ulster University; Londonderry United Kingdom
| | - Sofya Titarenko
- School of Mathematics; University of Leeds; Leeds United Kingdom
| | - KongFatt Wong-Ling
- Intelligent Systems Research Centre; Ulster University; Londonderry United Kingdom
| | - Xuemei Ding
- Intelligent Systems Research Centre; Ulster University; Londonderry United Kingdom
- College of Mathematics and Informatics; Fujian Normal University; Fuzhou China
| | - Paula McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute; Ulster University; Londonderry United Kingdom
| | - Stephen Todd
- Altnagelvin Area Hospital; Western Health and Social Care Trust; Londonderry United Kingdom
| | - David Finn
- Discipline of Pharmacology and Therapeutics; National University of Ireland Galway; Galway Ireland
| | - Liam Maguire
- Intelligent Systems Research Centre; Ulster University; Londonderry United Kingdom
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32
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Affiliation(s)
- N Stallard
- Statistics and Epidemiology, Warwick Medical School, University of Warwick, Coventry.
| | - S Todd
- Department of Mathematics and Statistics, University of Reading, Reading
| | - D Parashar
- Statistics and Epidemiology, Warwick Medical School, University of Warwick, Coventry; The Alan Turing Institute, London; Warwick Cancer Research Centre, University of Warwick, Coventry, UK
| | - P K Kimani
- Statistics and Epidemiology, Warwick Medical School, University of Warwick, Coventry
| | - L A Renfro
- Division of Biostatistics, University of Southern California, Los Angeles, USA
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33
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Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, Kunkle BW, Boland A, Raybould R, Bis JC, Martin ER, Grenier-Boley B, Heilmann-Heimbach S, Chouraki V, Kuzma AB, Sleegers K, Vronskaya M, Ruiz A, Graham RR, Olaso R, Hoffmann P, Grove ML, Vardarajan BN, Hiltunen M, Nöthen MM, White CC, Hamilton-Nelson KL, Epelbaum J, Maier W, Choi SH, Beecham GW, Dulary C, Herms S, Smith AV, Funk CC, Derbois C, Forstner AJ, Ahmad S, Li H, Bacq D, Harold D, Satizabal CL, Valladares O, Squassina A, Thomas R, Brody JA, Qu L, Sánchez-Juan P, Morgan T, Wolters FJ, Zhao Y, Garcia FS, Denning N, Fornage M, Malamon J, Naranjo MCD, Majounie E, Mosley TH, Dombroski B, Wallon D, Lupton MK, Dupuis J, Whitehead P, Fratiglioni L, Medway C, Jian X, Mukherjee S, Keller L, Brown K, Lin H, Cantwell LB, Panza F, McGuinness B, Moreno-Grau S, Burgess JD, Solfrizzi V, Proitsi P, Adams HH, Allen M, Seripa D, Pastor P, Cupples LA, Price ND, Hannequin D, Frank-García A, Levy D, Chakrabarty P, Caffarra P, Giegling I, Beiser AS, Giedraitis V, Hampel H, Garcia ME, Wang X, Lannfelt L, Mecocci P, Eiriksdottir G, Crane PK, Pasquier F, Boccardi V, Henández I, Barber RC, Scherer M, Tarraga L, Adams PM, Leber M, Chen Y, Albert MS, Riedel-Heller S, Emilsson V, Beekly D, Braae A, Schmidt R, Blacker D, Masullo C, Schmidt H, Doody RS, Spalletta G, Longstreth WT, Fairchild TJ, Bossù P, Lopez OL, Frosch MP, Sacchinelli E, Ghetti B, Yang Q, Huebinger RM, Jessen F, Li S, Kamboh MI, Morris J, Sotolongo-Grau O, Katz MJ, Corcoran C, Dunstan M, Braddel A, Thomas C, Meggy A, Marshall R, Gerrish A, Chapman J, Aguilar M, Taylor S, Hill M, Fairén MD, Hodges A, Vellas B, Soininen H, Kloszewska I, Daniilidou M, Uphill J, Patel Y, Hughes JT, Lord J, Turton J, Hartmann AM, Cecchetti R, Fenoglio C, Serpente M, Arcaro M, Caltagirone C, Orfei MD, Ciaramella A, Pichler S, Mayhaus M, Gu W, Lleó A, Fortea J, Blesa R, Barber IS, Brookes K, Cupidi C, Maletta RG, Carrell D, Sorbi S, Moebus S, Urbano M, Pilotto A, Kornhuber J, Bosco P, Todd S, Craig D, Johnston J, Gill M, Lawlor B, Lynch A, Fox NC, Hardy J, Albin RL, Apostolova LG, Arnold SE, Asthana S, Atwood CS, Baldwin CT, Barnes LL, Barral S, Beach TG, Becker JT, Bigio EH, Bird TD, Boeve BF, Bowen JD, Boxer A, Burke JR, Burns JM, Buxbaum JD, Cairns NJ, Cao C, Carlson CS, Carlsson CM, Carney RM, Carrasquillo MM, Carroll SL, Diaz CC, Chui HC, Clark DG, Cribbs DH, Crocco EA, DeCarli C, Dick M, Duara R, Evans DA, Faber KM, Fallon KB, Fardo DW, Farlow MR, Ferris S, Foroud TM, Galasko DR, Gearing M, Geschwind DH, Gilbert JR, Graff-Radford NR, Green RC, Growdon JH, Hamilton RL, Harrell LE, Honig LS, Huentelman MJ, Hulette CM, Hyman BT, Jarvik GP, Abner E, Jin LW, Jun G, Karydas A, Kaye JA, Kim R, Kowall NW, Kramer JH, LaFerla FM, Lah JJ, Leverenz JB, Levey AI, Li G, Lieberman AP, Lunetta KL, Lyketsos CG, Marson DC, Martiniuk F, Mash DC, Masliah E, McCormick WC, McCurry SM, McDavid AN, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Morris JC, Murrell JR, Myers AJ, O'Bryant S, Olichney JM, Pankratz VS, Parisi JE, Paulson HL, Perry W, Peskind E, Pierce A, Poon WW, Potter H, Quinn JF, Raj A, Raskind M, Reisberg B, Reitz C, Ringman JM, Roberson ED, Rogaeva E, Rosen HJ, Rosenberg RN, Sager MA, Saykin AJ, Schneider JA, Schneider LS, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tanzi RE, Thornton-Wells TA, Trojanowski JQ, Troncoso JC, Van Deerlin VM, Van Eldik LJ, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Wilhelmsen KC, Williamson J, Wingo TS, Woltjer RL, Wright CB, Yu CE, Yu L, Garzia F, Golamaully F, Septier G, Engelborghs S, Vandenberghe R, De Deyn PP, Fernadez CM, Benito YA, Thonberg H, Forsell C, Lilius L, Kinhult-Stählbom A, Kilander L, Brundin R, Concari L, Helisalmi S, Koivisto AM, Haapasalo A, Dermecourt V, Fievet N, Hanon O, Dufouil C, Brice A, Ritchie K, Dubois B, Himali JJ, Keene CD, Tschanz J, Fitzpatrick AL, Kukull WA, Norton M, Aspelund T, Larson EB, Munger R, Rotter JI, Lipton RB, Bullido MJ, Hofman A, Montine TJ, Coto E, Boerwinkle E, Petersen RC, Alvarez V, Rivadeneira F, Reiman EM, Gallo M, O'Donnell CJ, Reisch JS, Bruni AC, Royall DR, Dichgans M, Sano M, Galimberti D, St George-Hyslop P, Scarpini E, Tsuang DW, Mancuso M, Bonuccelli U, Winslow AR, Daniele A, Wu CK, Peters O, Nacmias B, Riemenschneider M, Heun R, Brayne C, Rubinsztein DC, Bras J, Guerreiro R, Al-Chalabi A, Shaw CE, Collinge J, Mann D, Tsolaki M, Clarimón J, Sussams R, Lovestone S, O'Donovan MC, Owen MJ, Behrens TW, Mead S, Goate AM, Uitterlinden AG, Holmes C, Cruchaga C, Ingelsson M, Bennett DA, Powell J, Golde TE, Graff C, De Jager PL, Morgan K, Ertekin-Taner N, Combarros O, Psaty BM, Passmore P, Younkin SG, Berr C, Gudnason V, Rujescu D, Dickson DW, Dartigues JF, DeStefano AL, Ortega-Cubero S, Hakonarson H, Campion D, Boada M, Kauwe JK, Farrer LA, Van Broeckhoven C, Ikram MA, Jones L, Haines JL, Tzourio C, Launer LJ, Escott-Price V, Mayeux R, Deleuze JF, Amin N, Holmans PA, Pericak-Vance MA, Amouyel P, van Duijn CM, Ramirez A, Wang LS, Lambert JC, Seshadri S, Williams J, Schellenberg GD. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet 2017; 49:1373-1384. [PMID: 28714976 PMCID: PMC5669039 DOI: 10.1038/ng.3916] [Citation(s) in RCA: 601] [Impact Index Per Article: 85.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 06/16/2017] [Indexed: 02/02/2023]
Abstract
We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.
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Affiliation(s)
- Rebecca Sims
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Adam C Naj
- Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Céline Bellenguez
- INSERM, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- University Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Nandini Badarinarayan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | - Brian W Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Anne Boland
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Rachel Raybould
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, University of Miami, Miami, Florida, USA
| | - Benjamin Grenier-Boley
- INSERM, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- University Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany
| | - Vincent Chouraki
- Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Amanda B Kuzma
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kristel Sleegers
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Antwerp, Belgium
- Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Maria Vronskaya
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Agustin Ruiz
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Robert R Graham
- Immunology Biomarkers Group, Genentech, South San Francisco, California, USA
| | - Robert Olaso
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, University Hospital and Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Megan L Grove
- School of Public Health, Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Badri N Vardarajan
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
- Department of Neurology, Columbia University, New York, New York, USA
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany
| | - Charles C White
- Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Jacques Epelbaum
- UMR 894, Center for Psychiatry and Neuroscience, INSERM, Université Paris Descartes, Paris, France
| | - Wolfgang Maier
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Seung-Hoan Choi
- Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, University of Miami, Miami, Florida, USA
| | - Cécile Dulary
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, University Hospital and Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Cory C Funk
- Institute for Systems Biology, Seattle, Washington, USA
| | - Céline Derbois
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Hongdong Li
- Institute for Systems Biology, Seattle, Washington, USA
| | - Delphine Bacq
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Denise Harold
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Claudia L Satizabal
- Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Otto Valladares
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Alessio Squassina
- Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Rhodri Thomas
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Liming Qu
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Pascual Sánchez-Juan
- Neurology Service and CIBERNED, 'Marqués de Valdecilla' University Hospital (University of Cantabria and IFIMAV), Santander, Spain
| | - Taniesha Morgan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Frank J Wolters
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Yi Zhao
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Nicola Denning
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Sciences Center at Houston, Houston, Texas, USA
| | - John Malamon
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Elisa Majounie
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Thomas H Mosley
- Departments of Medicine, Geriatrics, Gerontology and Neurology, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Beth Dombroski
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - David Wallon
- Centre Hospitalier du Rouvray, Sotteville les Rouen, France
- INSERM U1079, Rouen University, IRIB, Normandy University, Rouen, France
| | - Michelle K Lupton
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Patrice Whitehead
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Laura Fratiglioni
- Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Christopher Medway
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Xueqiu Jian
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Sciences Center at Houston, Houston, Texas, USA
| | | | - Lina Keller
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Kristelle Brown
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Laura B Cantwell
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Francesco Panza
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Bernadette McGuinness
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Sonia Moreno-Grau
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Jeremy D Burgess
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Vincenzo Solfrizzi
- Geriatric Medicine-Memory Unit and Rare Disease Centre, University of Bari Aldo Moro, Bari, Italy
| | - Petra Proitsi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hieab H Adams
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mariet Allen
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Davide Seripa
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Pau Pastor
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - L Adrienne Cupples
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | | | - Didier Hannequin
- INSERM U1079, Rouen University, IRIB, Normandy University, Rouen, France
- Department of Neurology, Rouen University Hospital, Rouen, France
| | - Ana Frank-García
- Department of Neurology, University Hospital La Paz, Universidad Autónoma de Madrid, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital la Paz (IdiPAZ), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Daniel Levy
- Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Paramita Chakrabarty
- Center for Translational Research in Neurodegenerative Disease, Department of Neuroscience, University of Florida, Gainesville, Florida, USA
| | - Paolo Caffarra
- Department of Neuroscience, University of Parma, Parma, Italy
- Center for Cognitive Disorders AUSL, Parma, Italy
| | - Ina Giegling
- Department of Psychiatry, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Alexa S Beiser
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | | | - Harald Hampel
- AXA Research Fund and UPMC Chair, Paris, France
- Sorbonne Universités, Université Pierre et Marie Curie, Paris, France
- Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) and Institut du Cerveau et de la Moelle Épinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Melissa E Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, Maryland, USA
| | - Xue Wang
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Lars Lannfelt
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | | | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Florence Pasquier
- Centre Hospitalier Universitaire de Lille, Epidemiology and Public Health Department, Lille, France
- INSERM UMRS 1171, CNR-Maj, Lille, France
| | - Virginia Boccardi
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Isabel Henández
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Robert C Barber
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Martin Scherer
- Department of Primary Medical Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Lluis Tarraga
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Perrie M Adams
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Markus Leber
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Yuning Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Valur Emilsson
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
| | - Duane Beekly
- National Alzheimer's Coordinating Center, University of Washington, Seattle, Washington, USA
| | - Anne Braae
- Schools of Life Sciences and Medicine, University of Nottingham, Nottingham, UK
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz, Austria
| | - Deborah Blacker
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Carlo Masullo
- Department of Neurology, Catholic University of Rome, Rome, Italy
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Medical University Graz, Graz, Austria
| | - Rachelle S Doody
- Alzheimer's Disease and Memory Disorders Center, Baylor College of Medicine, Houston, Texas, USA
| | - Gianfranco Spalletta
- Experimental Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Rome, Italy
| | - W T Longstreth
- Department of Neurology, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Thomas J Fairchild
- Office of Strategy and Measurement, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - Paola Bossù
- Experimental Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Rome, Italy
| | - Oscar L Lopez
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Matthew P Frosch
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Eleonora Sacchinelli
- Experimental Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Rome, Italy
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Ryan M Huebinger
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - M Ilyas Kamboh
- Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John Morris
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
- Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Oscar Sotolongo-Grau
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Mindy J Katz
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Chris Corcoran
- Department of Mathematics and Statistics, Utah State University, Logan, Utah, USA
| | - Melanie Dunstan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Amy Braddel
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Charlene Thomas
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Alun Meggy
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Rachel Marshall
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Amy Gerrish
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jade Chapman
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Miquel Aguilar
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain
- Memory Unit, Department of Neurology, Hospital Universitario Mútua Terrassa, Terrassa, Barcelona, Spain
| | - Sarah Taylor
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Matt Hill
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Mònica Díez Fairén
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Fundació per la Recerca Biomèdica i Social Mútua Terrassa, Terrassa, Barcelona, Spain
| | - Angela Hodges
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Bruno Vellas
- INSERM U558, University of Toulouse, Toulouse, France
| | - Hilkka Soininen
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Iwona Kloszewska
- Elderly and Psychiatric Disorders Department, Medical University of Lodz, Lodz, Poland
| | - Makrina Daniilidou
- Department of Health Sciences, Psychiatry for the Elderly, University of Leicester, Leicester, UK
| | - James Uphill
- Department of Neurodegenerative Disease, MRC Prion Unit, UCL Institute of Neurology, London, UK
| | - Yogen Patel
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joseph T Hughes
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jenny Lord
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - James Turton
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Annette M Hartmann
- Department of Psychiatry, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Roberta Cecchetti
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Chiara Fenoglio
- Department of Pathophysiology and Transplantation, University of Milan, Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Maria Serpente
- Department of Pathophysiology and Transplantation, University of Milan, Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Marina Arcaro
- Department of Pathophysiology and Transplantation, University of Milan, Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Carlo Caltagirone
- Experimental Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Rome, Italy
| | - Maria Donata Orfei
- Experimental Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Rome, Italy
| | - Antonio Ciaramella
- Experimental Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Department of Clinical and Behavioural Neurology, Rome, Italy
| | - Sabrina Pichler
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - Manuel Mayhaus
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - Wei Gu
- Department of Psychiatry and Psychotherapy, University Hospital, Saarland, Germany
| | - Alberto Lleó
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Juan Fortea
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Rafael Blesa
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Imelda S Barber
- Schools of Life Sciences and Medicine, University of Nottingham, Nottingham, UK
| | - Keeley Brookes
- Schools of Life Sciences and Medicine, University of Nottingham, Nottingham, UK
| | - Chiara Cupidi
- Regional Neurogenetic Centre (CRN), ASP Catanzaro, Lamezia Terme, Italy
| | | | - David Carrell
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Sandro Sorbi
- NEUROFARBA (Department of Neuroscience, Psychology, Drug Research and Child Health), University of Florence, Florence, Italy
- IRCCS 'Don Carlo Gnocchi', Florence, Italy
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - Maria Urbano
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Alberto Pilotto
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Paolo Bosco
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Associazione Oasi Maria Santissima Srl, Troina, Italy
| | - Stephen Todd
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - David Craig
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Janet Johnston
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Michael Gill
- Mercers Institute for Research on Aging, St. James Hospital and Trinity College, Dublin, Ireland
| | - Brian Lawlor
- Mercers Institute for Research on Aging, St. James Hospital and Trinity College, Dublin, Ireland
| | - Aoibhinn Lynch
- Mercers Institute for Research on Aging, St. James Hospital and Trinity College, Dublin, Ireland
| | - Nick C Fox
- Department of Molecular Neuroscience, UCL, Institute of Neurology, London, UK
| | - John Hardy
- Department of Molecular Neuroscience, UCL, Institute of Neurology, London, UK
| | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Geriatric Research, Education and Clinical Center (GRECC), VA Ann Arbor Healthcare System (VAAAHS), Ann Arbor, Michigan, USA
- Michigan Alzheimer Disease Center, Ann Arbor, Michigan, USA
| | - Liana G Apostolova
- Indiana Alzheimer's Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
- Department of Neurology, Indiana University, Indianapolis, Indiana, USA
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA
| | - Steven E Arnold
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Sanjay Asthana
- Geriatric Research, Education and Clinical Center (GRECC), University of Wisconsin, Madison, Wisconsin, USA
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, Wisconsin, USA
| | - Craig S Atwood
- Geriatric Research, Education and Clinical Center (GRECC), University of Wisconsin, Madison, Wisconsin, USA
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, Wisconsin, USA
| | - Clinton T Baldwin
- Department of Medicine (Genetics Program), Boston University, Boston, Massachusetts, USA
| | - Lisa L Barnes
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Sandra Barral
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
- Department of Neurology, Columbia University, New York, New York, USA
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Phoenix, Arizona, USA
| | - James T Becker
- Departments of Psychiatry, Neurology, and Psychology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Eileen H Bigio
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Cognitive Neurology and Alzheimer's Disease Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Thomas D Bird
- Department of Neurology, University of Washington, Seattle, Washington, USA
- VA Puget Sound Health Care System/GRECC, Seattle, Washington, USA
| | - Bradley F Boeve
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Adam Boxer
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - James R Burke
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Jeffrey M Burns
- University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Joseph D Buxbaum
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, USA
- Department of Neuroscience, Mount Sinai School of Medicine, New York, New York, USA
- Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, USA
| | - Nigel J Cairns
- Department of Pathology and Immunology, Washington University, St. Louis, Missouri, USA
| | - Chuanhai Cao
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, Florida, USA
| | - Chris S Carlson
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Cynthia M Carlsson
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, Wisconsin, USA
| | - Regina M Carney
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | | | - Steven L Carroll
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Carolina Ceballos Diaz
- Center for Translational Research in Neurodegenerative Disease, Department of Neuroscience, University of Florida, Gainesville, Florida, USA
| | - Helena C Chui
- Department of Neurology, University of Southern California, Los Angeles, California, USA
| | - David G Clark
- Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA
- Department of Neurology, Ralph H. Johnson VA Medical Center, Charleston, South Carolina, USA
| | - David H Cribbs
- Department of Neurology, University of California, Irvine, Irvine, California, USA
| | - Elizabeth A Crocco
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, Sacramento, California, USA
| | - Malcolm Dick
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, California, USA
| | - Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, Florida, USA
| | - Denis A Evans
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Kelley M Faber
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Kenneth B Fallon
- Department of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Martin R Farlow
- Department of Neurology, Indiana University, Indianapolis, Indiana, USA
| | - Steven Ferris
- Department of Psychiatry, New York University, New York, New York, USA
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Douglas R Galasko
- Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, USA
- Emory Alzheimer's Disease Center, Emory University, Atlanta, Georgia, USA
| | - Daniel H Geschwind
- Neurogenetics Program, University of California, Los Angeles, Los Angeles, California, USA
| | - John R Gilbert
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, University of Miami, Miami, Florida, USA
| | - Neill R Graff-Radford
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Robert C Green
- Division of Genetics, Department of Medicine and Partners Center for Personalized Genetic Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - John H Growdon
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Ronald L Hamilton
- Department of Pathology (Neuropathology), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lindy E Harrell
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Lawrence S Honig
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA
| | - Matthew J Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA
| | | | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Gail P Jarvik
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
- Department of Medicine (Medical Genetics), University of Washington, Seattle, Washington, USA
| | - Erin Abner
- Sanders-Brown Center on Aging, College of Public Health, Department of Epidemiology, University of Kentucky, Lexington, Kentucky, USA
| | - Lee-Way Jin
- Department of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA
| | - Gyungah Jun
- Department of Medicine (Genetics Program), Boston University, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University, Boston, Massachusetts, USA
- Department of Ophthalmology, Boston University, Boston, Massachusetts, USA
| | - Anna Karydas
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jeffrey A Kaye
- Department of Neurology, Oregon Health &Science University, Portland, Oregon, USA
- Department of Neurology, Portland Veterans Affairs Medical Center, Portland, Oregon, USA
| | - Ronald Kim
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, California, USA
| | - Neil W Kowall
- Department of Neurology, Boston University, Boston, Massachusetts, USA
- Department of Pathology, Boston University, Boston, Massachusetts, USA
| | - Joel H Kramer
- Department of Neuropsychology, University of California, San Francisco, San Francisco, California, USA
| | - Frank M LaFerla
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, California, USA
| | - James J Lah
- Department of Neurology, Emory University, Atlanta, Georgia, USA
| | - James B Leverenz
- Cleveland Clinic Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, Ohio, USA
| | - Allan I Levey
- Department of Neurology, Emory University, Atlanta, Georgia, USA
| | - Ge Li
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- VA Puget Sound Health Care System/GRECC, Seattle, Washington, USA
| | - Andrew P Lieberman
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University, Boston, Massachusetts, USA
| | | | - Daniel C Marson
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Frank Martiniuk
- Department of Medicine-Pulmonary, New York University, New York, New York, USA
| | - Deborah C Mash
- Department of Neurology, University of Miami, Miami, Florida, USA
| | - Eliezer Masliah
- Department of Neurosciences, University of California, San Diego, La Jolla, California, USA
- Department of Pathology, University of California, San Diego, La Jolla, California, USA
| | - Wayne C McCormick
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Susan M McCurry
- School of Nursing Northwest Research Group on Aging, University of Washington, Seattle, Washington, USA
| | - Andrew N McDavid
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Ann C McKee
- Department of Neurology, Boston University, Boston, Massachusetts, USA
- Department of Pathology, Boston University, Boston, Massachusetts, USA
| | - Marsel Mesulam
- Cognitive Neurology and Alzheimer's Disease Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Bruce L Miller
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Carol A Miller
- Department of Pathology, University of Southern California, Los Angeles, California, USA
| | - Joshua W Miller
- Department of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA
| | - John C Morris
- Department of Pathology and Immunology, Washington University, St. Louis, Missouri, USA
- Department of Neurology, Washington University, St. Louis, Missouri, USA
| | - Jill R Murrell
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Amanda J Myers
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Sid O'Bryant
- Internal Medicine, Division of Geriatrics, University of North Texas Health Science Center, Fort Worth, Texas, USA
| | - John M Olichney
- Department of Neurology, University of California, Davis, Sacramento, California, USA
| | - Vernon S Pankratz
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Joseph E Parisi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Henry L Paulson
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Michigan Alzheimer Disease Center, Ann Arbor, Michigan, USA
| | - William Perry
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Elaine Peskind
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Aimee Pierce
- Department of Neurology, University of California, Irvine, Irvine, California, USA
| | - Wayne W Poon
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, California, USA
| | - Huntington Potter
- Department of Neurology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Joseph F Quinn
- Department of Neurology, Oregon Health &Science University, Portland, Oregon, USA
- Department of Neurology, Portland Veterans Affairs Medical Center, Portland, Oregon, USA
| | - Ashok Raj
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, Florida, USA
| | - Murray Raskind
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
| | - Barry Reisberg
- Department of Psychiatry, New York University, New York, New York, USA
- Alzheimer's Disease Center, New York University, New York, New York, USA
| | - Christiane Reitz
- Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
- Department of Neurology, Columbia University, New York, New York, USA
- Department of Epidemiology, Columbia University, New York, New York, USA
| | - John M Ringman
- Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
| | - Erik D Roberson
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - Howard J Rosen
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Roger N Rosenberg
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Mark A Sager
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA
| | - Andrew J Saykin
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
- Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, Indiana, USA
| | - Julie A Schneider
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, Illinois, USA
| | - Lon S Schneider
- Department of Neurology, University of Southern California, Los Angeles, California, USA
- Department of Psychiatry, University of Southern California, Los Angeles, California, USA
| | - William W Seeley
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Amanda G Smith
- USF Health Byrd Alzheimer's Institute, University of South Florida, Tampa, Florida, USA
| | - Joshua A Sonnen
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - Salvatore Spina
- Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, Indiana, USA
| | - Robert A Stern
- Department of Neurology, Boston University, Boston, Massachusetts, USA
| | - Russell H Swerdlow
- University of Kansas Alzheimer's Disease Center, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Rudolph E Tanzi
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Tricia A Thornton-Wells
- Translational Medicine, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Juan C Troncoso
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Vivianna M Van Deerlin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, Department of Anatomy and Neurobiology, University of Kentucky, Lexington, Kentucky, USA
| | - Harry V Vinters
- Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Jean Paul Vonsattel
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Pathology, Columbia University, New York, New York, USA
| | - Sandra Weintraub
- Cognitive Neurology and Alzheimer's Disease Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Kathleen A Welsh-Bohmer
- Department of Medicine, Duke University, Durham, North Carolina, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA
| | - Kirk C Wilhelmsen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jennifer Williamson
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA
| | - Thomas S Wingo
- Department of Neurology, Emory University, Atlanta, Georgia, USA
| | - Randall L Woltjer
- Department of Pathology, Oregon Health &Science University, Portland, Oregon, USA
| | - Clinton B Wright
- Evelyn F. McKnight Brain Institute, Department of Neurology, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Chang-En Yu
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Lei Yu
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Fabienne Garzia
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Feroze Golamaully
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Gislain Septier
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Sebastien Engelborghs
- Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium
| | - Rik Vandenberghe
- Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium
- Laboratory for Cognitive Neurology, Department of Neurology, University of Leuven, Leuven, Belgium
| | - Peter P De Deyn
- Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp, Antwerp, Belgium
| | - Carmen Muñoz Fernadez
- Department of Immunology, Hospital Universitario Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Yoland Aladro Benito
- Department of Immunology, Hospital Universitario Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Hakan Thonberg
- Department of Geriatric Medicine, Genetics Unit, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, KIADRC, Karolinska Institutet, Stockholm, Sweden
| | - Charlotte Forsell
- Department of Geriatric Medicine, Genetics Unit, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, KIADRC, Karolinska Institutet, Stockholm, Sweden
| | - Lena Lilius
- Department of Geriatric Medicine, Genetics Unit, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, KIADRC, Karolinska Institutet, Stockholm, Sweden
| | - Anne Kinhult-Stählbom
- Department of Geriatric Medicine, Genetics Unit, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, KIADRC, Karolinska Institutet, Stockholm, Sweden
| | - Lena Kilander
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden
| | - RoseMarie Brundin
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Letizia Concari
- Department of Neuroscience, University of Parma, Parma, Italy
- Center for Cognitive Disorders AUSL, Parma, Italy
| | - Seppo Helisalmi
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Anne Maria Koivisto
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Annakaisa Haapasalo
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine/Neurology, University of Eastern Finland, Kuopio, Finland
| | - Vincent Dermecourt
- CHU Lille, Memory Center of Lille (Centre Mémoire de Ressources et de Recherche), Lille, France
| | - Nathalie Fievet
- INSERM, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- University Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
- University Paris Descartes, EA 4468, AP-HP, Hôpital Broca, Geriatrics Department, Paris, France
| | - Olivier Hanon
- University Paris Descartes, EA 4468, AP-HP, Hôpital Broca, Geriatrics Department, Paris, France
| | - Carole Dufouil
- University of Bordeaux, Neuroepidemiology, Bordeaux, France
- INSERM, Neuroepidemiology, UMR 897, Bordeaux, France
| | - Alexis Brice
- INSERM U1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06, UMRS 1127, Institut du Cerveau et de la Moelle Épinière, Paris, France
- AP-HP, Department of Genetics, Pitié-Salpêtrière Hospital, Paris, France
| | - Karen Ritchie
- INSERM U1061, La Colombière Hospital, Montpellier, France
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
- Institut des Neurosciences Translationnelles de Paris (IHU-A-ICM), Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France
- INSERM, CNRS, UMRS 975, Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France
- Sorbonne Universités, Université Pierre et Marie Curie, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
| | | | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - JoAnn Tschanz
- Department of Mathematics and Statistics, Utah State University, Logan, Utah, USA
| | - Annette L Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Family Medicine, University of Washington, Seattle, Washington, USA
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Maria Norton
- Department of Mathematics and Statistics, Utah State University, Logan, Utah, USA
| | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- Centre for Public Health, University of Iceland, Reykjavik, Iceland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Group Health Research Institute, Group Health, Seattle, Washington, USA
| | - Ron Munger
- Department of Mathematics and Statistics, Utah State University, Logan, Utah, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Richard B Lipton
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - María J Bullido
- Instituto de Investigación Sanitaria Hospital la Paz (IdiPAZ), Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Thomas J Montine
- Department of Pathology, University of Washington, Seattle, Washington, USA
| | - Eliecer Coto
- Molecular Genetics Laboratory-Hospital, University of Central Asturias, Oviedo, Spain
| | - Eric Boerwinkle
- School of Public Health, Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | | | - Victoria Alvarez
- Molecular Genetics Laboratory-Hospital, University of Central Asturias, Oviedo, Spain
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
- Netherlands Consortium on Health Aging and National Genomics Initiative, Leiden, the Netherlands
| | - Eric M Reiman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA
- Arizona Alzheimer's Consortium, Phoenix, Arizona, USA
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
- Department of Psychiatry, University of Arizona, Phoenix, Arizona, USA
| | - Maura Gallo
- Regional Neurogenetic Centre (CRN), ASP Catanzaro, Lamezia Terme, Italy
| | | | - Joan S Reisch
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Donald R Royall
- Departments of Psychiatry, Medicine, and Family and Community Medicine and South Texas Veterans Health Administration Geriatric Research Education and Clinical Center (GRECC), University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Mary Sano
- Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, USA
| | - Daniela Galimberti
- Department of Pathophysiology and Transplantation, University of Milan, Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Peter St George-Hyslop
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Elio Scarpini
- Department of Pathophysiology and Transplantation, University of Milan, Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Debby W Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
- VA Puget Sound Health Care System/GRECC, Seattle, Washington, USA
| | - Michelangelo Mancuso
- Department of Experimental and Clinical Medicine, Neurological Institute, University of Pisa, Pisa, Italy
| | - Ubaldo Bonuccelli
- Department of Experimental and Clinical Medicine, Neurological Institute, University of Pisa, Pisa, Italy
| | - Ashley R Winslow
- PharmaTherapeutics Clinical Research, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, USA
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Hearth, Rome, Italy
| | - Chuang-Kuo Wu
- Departments of Neurology, Pharmacology, and Neuroscience, Texas Tech University Health Science Center, Lubbock, Texas, USA
| | - Oliver Peters
- Department of Psychiatry, Charité University Medicine, Berlin, Germany
| | - Benedetta Nacmias
- NEUROFARBA (Department of Neuroscience, Psychology, Drug Research and Child Health), University of Florence, Florence, Italy
- IRCCS 'Don Carlo Gnocchi', Florence, Italy
| | | | - Reinhard Heun
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Carol Brayne
- Institute of Public Health, University of Cambridge, Cambridge, UK
| | - David C Rubinsztein
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Jose Bras
- Department of Molecular Neuroscience, UCL, Institute of Neurology, London, UK
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Rita Guerreiro
- Department of Molecular Neuroscience, UCL, Institute of Neurology, London, UK
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Ammar Al-Chalabi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christopher E Shaw
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - John Collinge
- Department of Neurodegenerative Disease, MRC Prion Unit, UCL Institute of Neurology, London, UK
| | - David Mann
- Institute of Brain, Behaviour and Mental Health, Clinical and Cognitive Neuroscience Research Group, University of Manchester, Manchester, UK
| | - Magda Tsolaki
- 3rd Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Jordi Clarimón
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Memory Unit, Neurology Department and Sant Pau Biomedical Research Institute, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Rebecca Sussams
- Division of Clinical Neurosciences, School of Medicine, University of Southampton, Southampton, UK
| | | | - Michael C O'Donovan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Timothy W Behrens
- Immunology Biomarkers Group, Genentech, South San Francisco, California, USA
| | - Simon Mead
- Department of Neurodegenerative Disease, MRC Prion Unit, UCL Institute of Neurology, London, UK
| | - Alison M Goate
- Department of Neuroscience, Mount Sinai School of Medicine, New York, New York, USA
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Neurodegenerative Disease, MRC Prion Unit, UCL Institute of Neurology, London, UK
- Department of Pathophysiology and Transplantation, University of Milan, Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Clive Holmes
- VA Puget Sound Health Care System/GRECC, Seattle, Washington, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
- Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Martin Ingelsson
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - John Powell
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Todd E Golde
- Center for Translational Research in Neurodegenerative Disease, Department of Neuroscience, University of Florida, Gainesville, Florida, USA
- Florida Alzheimer's Disease Research Center, Gainesville, Florida, USA
| | - Caroline Graff
- Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society, KIADRC, Karolinska Institutet, Stockholm, Sweden
| | - Philip L De Jager
- Center for Translational and Systems Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, New York, USA
| | - Kevin Morgan
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, UK
| | - Nilufer Ertekin-Taner
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Onofre Combarros
- Neurology Service and CIBERNED, 'Marqués de Valdecilla' University Hospital (University of Cantabria and IFIMAV), Santander, Spain
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Health Services, University of Washington, Seattle, Washington, USA
| | - Peter Passmore
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, UK
| | - Steven G Younkin
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | - Claudine Berr
- Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, AP-HP, Paris, France
- Memory Research and Resources Center, CMRR of Montpellier, Department of Neurology, Hospital Gui de Chauliac, Montpellier, France
- Department of Neurology, Montpellier University, Montpellier, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Dan Rujescu
- Department of Psychiatry, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Dennis W Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Anita L DeStefano
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Sara Ortega-Cubero
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Neurogenetics Laboratory, Division of Neurosciences, Centre for Applied Medical Research, University of Navarra School of Medicine, Pamplona, Spain
- Department of Neurology, Complejo Asistencial Universitario de Palencia, Palencia, Spain
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Dominique Campion
- Centre Hospitalier du Rouvray, Sotteville les Rouen, France
- INSERM U1079, Rouen University, IRIB, Normandy University, Rouen, France
| | - Merce Boada
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - John Keoni Kauwe
- Departments of Biology and Neuroscience, Brigham Young University, Provo, Utah, USA
| | - Lindsay A Farrer
- Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Medicine (Genetics Program), Boston University, Boston, Massachusetts, USA
- Department of Biostatistics, Boston University, Boston, Massachusetts, USA
- Department of Ophthalmology, Boston University, Boston, Massachusetts, USA
- Department of Neurology, Boston University, Boston, Massachusetts, USA
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Antwerp, Belgium
- Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Lesley Jones
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jonathan L Haines
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA
| | - Christophe Tzourio
- INSERM U1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06, UMRS 1127, Institut du Cerveau et de la Moelle Épinière, Paris, France
- University of Bordeaux, Neuroepidemiology, UMR 897, Bordeaux, France
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, Maryland, USA
| | - Valentina Escott-Price
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, New York, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, New York, USA
- Department of Neurology, Columbia University, New York, New York, USA
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Peter A Holmans
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, University of Miami, Miami, Florida, USA
| | - Philippe Amouyel
- INSERM, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- University Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
- Centre Hospitalier Universitaire de Lille, Epidemiology and Public Health Department, Lille, France
| | | | - Alfredo Ramirez
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jean-Charles Lambert
- INSERM, U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- Institut Pasteur de Lille, Lille, France
- University Lille, U1167-Excellence Laboratory LabEx DISTALZ, Lille, France
| | - Sudha Seshadri
- Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Julie Williams
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Gerard D Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Mulvenna M, Hutton A, Coates V, Martin S, Todd S, Bond R, Moorhead A. Views of Caregivers on the Ethics of Assistive Technology Used for Home Surveillance of People Living with Dementia. NEUROETHICS-NETH 2017; 10:255-266. [PMID: 28725288 PMCID: PMC5486509 DOI: 10.1007/s12152-017-9305-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 01/16/2017] [Indexed: 11/26/2022]
Abstract
This paper examines the ethics of using assistive technology such as video surveillance in the homes of people living with dementia. Ideation and concept elaboration around the introduction of a camera-based surveillance service in the homes of people with dementia, typically living alone, is explored. The paper reviews relevant literature on surveillance of people living with dementia, and summarises the findings from ideation and concept elaboration workshops, designed to capture the views of those involved in the care of people living with dementia at home. The research question relates to the ethical considerations of using assistive technologies that include video surveillance in the homes of people living with dementia, and the implications for a person living with dementia whenever video surveillance is used in their home and access to the camera is given to the person’s family. The review of related work indicated that such video surveillance may result in loss of autonomy or freedom for the person with dementia. The workshops reflected the findings from the related work, and revealed useful information to inform the service design, in particular in fine-tuning the service to find the best relationship between privacy and usefulness. Those who took part in the workshops supported the concept of the use of camera in the homes of people living with dementia, with some significant caveats around privacy. The research carried out in this work is small in scale but points towards an acceptance by many caregivers of people living with dementia of surveillance technologies. This paper indicates that those who care for people living with dementia at home are willing to make use of camera technology and therefore the value of this work is to help shed light on the direction for future research.
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Affiliation(s)
- Maurice Mulvenna
- School of Computing and Mathematics, Ulster University, Newtownabbey, UK
| | - Anton Hutton
- School of Creative Arts and Technologies, Ulster University, Newtownabbey, UK
| | - Vivien Coates
- School of Nursing, Ulster University, Newtownabbey, UK
| | - Suzanne Martin
- School of Health Science, Ulster University, Newtownabbey, UK
| | - Stephen Todd
- Western Health and Social Care Trust, Altnagelvin Hospital, Londonderry, UK
| | - Raymond Bond
- School of Computing and Mathematics, Ulster University, Newtownabbey, UK
| | - Anne Moorhead
- School of Communication, Ulster University, Newtownabbey, UK
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Moronkeji K, Todd S, Dawidowska I, Barrett SD, Akhtar R. The role of subcutaneous tissue stiffness on microneedle performance in a representative in vitro model of skin. J Control Release 2016; 265:102-112. [PMID: 27838272 DOI: 10.1016/j.jconrel.2016.11.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 10/14/2016] [Accepted: 11/08/2016] [Indexed: 12/28/2022]
Abstract
There has been growing interest in the mechanical behaviour of skin due to the rapid development of microneedle devices for drug delivery applications into skin. However, most in vitro experimentation studies that are used to evaluate microneedle performance do not consider the biomechanical properties of skin or that of the subcutaneous layers. In this study, a representative experimental model of skin was developed which was comprised of subcutaneous and muscle mimics. Neonatal porcine skin from the abdominal and back regions was used, with gelatine gels of differing water content (67, 80, 88 and 96%) to represent the subcutaneous tissue, and a type of ballistic gelatine, Perma-Gel®, as a muscle mimic. Dynamic nanoindentation was used to characterize the mechanical properties of each of these layers. A custom-developed impact test rig was used to apply dense polymethylmethacrylate (PMMA) microneedles to the skin models in a controlled and repeatable way with quantification of the insertion force and velocity. Image analysis methods were used to measure penetration depth and area of the breach caused by microneedle penetration following staining and optical imaging. The nanoindentation tests demonstrated that the tissue mimics matched expected values for subcutaneous and muscle tissue, and that the compliance of the subcutaneous mimics increased linearly with water content. The abdominal skin was thinner and less stiff as compared to back skin. The maximum force decreased with gel water content in the abdominal skin but not in the back skin. Overall, larger and deeper perforations were found in the skin models with increasing water content. These data demonstrate the importance of subcutaneous tissue on microneedle performance and the need for representative skin models in microneedle technology development.
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Affiliation(s)
- K Moronkeji
- Centre for Materials and Structures, School of Engineering, University of Liverpool, L69 3GH, United Kingdom
| | - S Todd
- Renephra Ltd., MedTech Centre, Manchester Science Park, Pencroft Way, M15 6JJ, United Kingdom
| | - I Dawidowska
- Renephra Ltd., MedTech Centre, Manchester Science Park, Pencroft Way, M15 6JJ, United Kingdom
| | - S D Barrett
- Department of Physics, University of Liverpool, L69 7ZE, United Kingdom
| | - R Akhtar
- Centre for Materials and Structures, School of Engineering, University of Liverpool, L69 3GH, United Kingdom.
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Leavey G, Abbott A, Watson M, Todd S, Coates V, McIlfactrick S, McCormack B, Waterhouse-Bradley B, Curran E. The evaluation of a healthcare passport to improve quality of care and communication for people living with dementia (EQuIP): a protocol paper for a qualitative, longitudinal study. BMC Health Serv Res 2016; 16:363. [PMID: 27507250 PMCID: PMC4977852 DOI: 10.1186/s12913-016-1617-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 08/01/2016] [Indexed: 11/16/2022] Open
Abstract
Background There is an urgent need for the development of simple communication tools that convey the strengths, assets, and healthcare needs of people living with dementia. A Healthcare Passport may improve communication with range of health and social support services, enhancing quality and continuity of care, and to permit a consideration of the challenges and how these might be managed effectively and compassionately. This study aims to evaluate the acceptability and use of this type of intervention for people living with dementia and their carers. Methods/Design This is a qualitative longitudinal study informed by a critical realist review. The participants will be individuals identified as having mild-moderate dementia and informal carers. The in-depth interviews will occur at three points over the course of 18 months as they use the passport. This will be supplemented by analysis of the content of the passports and information from health and social care providers on the daily practicalities of using the passport in a range of healthcare settings. Discussion By using a critical realist review and a qualitative, longitudinal approach, the study allows for the assessment of a complex intervention in a manner which goes beyond evaluating the basic efficacy of the passport, but looking more deeply at how it worked, for whom, and in what context. It has the potential to develop new data on how interventions improve communication across a range of service providers, while encouraging health and social care professionals to respect and encourage the development of self-management and retention of personhood throughout the progression of life-limiting illnesses.
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Affiliation(s)
- Gerard Leavey
- The Bamford Centre for Mental Health & Wellbeing, Ulster University, Cromore Road, Coleraine, Northern Ireland.
| | - Aine Abbott
- Royal College of Practitioners, Belfast, Northern Ireland
| | - Max Watson
- Northern Ireland Hospice, Belfast, Northern Ireland
| | - Stephen Todd
- Western Health and Social Care Trust, Derry-Londonderry, Northern Ireland
| | - Vivien Coates
- The Bamford Centre for Mental Health & Wellbeing, Ulster University, Cromore Road, Coleraine, Northern Ireland
| | - Sonja McIlfactrick
- The Bamford Centre for Mental Health & Wellbeing, Ulster University, Cromore Road, Coleraine, Northern Ireland
| | | | - Bethany Waterhouse-Bradley
- The Bamford Centre for Mental Health & Wellbeing, Ulster University, Cromore Road, Coleraine, Northern Ireland
| | - Emma Curran
- The Bamford Centre for Mental Health & Wellbeing, Ulster University, Cromore Road, Coleraine, Northern Ireland
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Todd S, Xu J, Millar BC, Moore JE, Crowe M, Raoult D, Harrison T, Hill C, Douglas J. Culture-negative Bartonella endocarditis in a patient with renal failure: the value of molecular methods in diagnosis. Br J Biomed Sci 2016; 61:190-3. [PMID: 15649011 DOI: 10.1080/09674845.2004.11732670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Members of the genus Bartonella are increasingly recognised as a cause of culture-negative endocarditis, particularly in those patients with underlying risk factors (e.g., homelessness and alcoholism (B. quintana) or valvulopathy and cat ownership (B. henselae). The aortic and mitral-valves are most commonly involved. Here, a case is reported of culture-negative right-sided endocarditis, without any of the above risk factors, due to Bartonella sp. in a 69-year-old man who presented with acute renal failure. The diagnosis was made using a broad-range 16S rRNA polymerase chain reaction (PCR) technique and direct automated sequencing on a peripheral blood sample, which was subsequently confirmed serologically. A review of the literature on Bartonella endocarditis is also presented. Molecular laboratory methods using peripheral blood or blood cultures may be very useful in the diagnosis of causal agents in culture-negative endocarditis and add further support to the recently inclusion of molecular (PCR) diagnosis, as a major Duke's criterion, for the diagnosis of infective endocarditis.
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Affiliation(s)
- S Todd
- Directorate of Nephrology, Belfast City Hospital, Belfast, Northern Ireland
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Tuffrey-Wijne I, Wicki M, Heslop P, McCarron M, Todd S, Oliver D, de Veer A, Ahlström G, Schäper S, Hynes G, O'Farrell J, Adler J, Riese F, Curfs L. Developing research priorities for palliative care of people with intellectual disabilities in Europe: a consultation process using nominal group technique. BMC Palliat Care 2016; 15:36. [PMID: 27009550 PMCID: PMC4806426 DOI: 10.1186/s12904-016-0108-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 03/17/2016] [Indexed: 11/20/2022] Open
Abstract
Background Empirical knowledge around palliative care provision and needs of people with intellectual disabilities is extremely limited, as is the availability of research resources, including expertise and funding. This paper describes a consultation process that sought to develop an agenda for research priorities for palliative care of people with intellectual disabilities in Europe. Methods A two-day workshop was convened, attended by 16 academics and clinicians in the field of palliative care and intellectual disability from six European countries. The first day consisted of round-table presentations and discussions about the current state of the art, research challenges and knowledge gaps. The second day was focused on developing consensus research priorities with 12 of the workshop participants using nominal group technique, a structured method which involved generating a list of research priorities and ranking them in order of importance. Results A total of 40 research priorities were proposed and collapsed into eleven research themes. The four most important research themes were: investigating issues around end of life decision making; mapping the scale and scope of the issue; investigating the quality of palliative care for people with intellectual disabilities, including the challenges in achieving best practice; and developing outcome measures and instruments for palliative care of people with intellectual disabilities. Conclusions The proposal of four major priority areas and a range of minor themes for future research in intellectual disability, death, dying and palliative care will help researchers to focus limited resources and research expertise on areas where it is most needed and support the building of collaborations. The next steps are to cross-validate these research priorities with people with intellectual disabilities, carers, clinicians, researchers and other stakeholders across Europe; to validate them with local and national policy makers to determine how they could best be incorporated in policy and programmes; and to translate them into actual research studies by setting up European collaborations for specific studies that require such collaboration, develop research proposals and attract research funding.
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Affiliation(s)
- I Tuffrey-Wijne
- Kingston University & St George's University of London, Faculty of Health, Social Care and Education, Cranmer Terrace, London, SW17 0RE, UK.
| | - M Wicki
- Internationale Hochschule für Heilpädagogik Zürich, Zürich, Switzerland
| | - P Heslop
- Norah Fry Research Centre, School for Policy Studies, University of Bristol, Bristol, UK
| | - M McCarron
- Trinity College, University of Dublin, Dublin, Ireland
| | - S Todd
- Faculty of Life Sciences and Education, University of South Wales, Cardiff, Newport, UK
| | - D Oliver
- Tizard Centre, University of Kent, Kent, UK
| | - A de Veer
- Netherlands Institute for Health Services Research, Utrecht, The Netherlands
| | | | - S Schäper
- Department Muenster, Catholic University of Applied Sciences, Muenster, Germany
| | - G Hynes
- Trinity College, University of Dublin, Dublin, Ireland
| | - J O'Farrell
- Trinity College, University of Dublin, Dublin, Ireland
| | - J Adler
- University of Applied Sciences of Special Needs Education, Zürich, Switzerland
| | - F Riese
- Division of Psychiatry Research and Psychogeriatric Medicine, Zurich, Switzerland
| | - L Curfs
- Maastricht University Medical Centre, Governor Kremers Centre, Maastricht, The Netherlands
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Bort J, Van Parijs SM, Stevick PT, Summers E, Todd S. North Atlantic right whale Eubalaena glacialis vocalization patterns in the central Gulf of Maine from October 2009 through October 2010. ENDANGER SPECIES RES 2015. [DOI: 10.3354/esr00650] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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40
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Proitsi P, Lupton MK, Velayudhan L, Hunter G, Newhouse S, Lin K, Fogh I, Tsolaki M, Daniilidou M, Pritchard M, Craig D, Todd S, Johnston JA, McGuinness B, Kloszewska I, Soininen H, Mecocci P, Vellas B, Passmore PA, Sims R, Williams J, Brayne C, Stewart R, Sham P, Lovestone S, Powell JF. Alleles that increase risk for type 2 diabetes mellitus are not associated with increased risk for Alzheimer's disease. Neurobiol Aging 2014; 35:2883.e3-2883.e10. [PMID: 25150574 DOI: 10.1016/j.neurobiolaging.2014.07.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Accepted: 07/20/2014] [Indexed: 11/26/2022]
Abstract
Although epidemiological studies suggest that type 2 diabetes mellitus (T2DM) increases the risk of late-onset Alzheimer's disease (LOAD), the biological basis of this relationship is not well understood. The aim of this study was to examine the genetic comorbidity between the 2 disorders and to investigate whether genetic liability to T2DM, estimated by a genotype risk scores based on T2DM associated loci, is associated with increased risk of LOAD. This study was performed in 2 stages. In stage 1, we combined genotypes for the top 15 T2DM-associated polymorphisms drawn from approximately 3000 individuals (1349 cases and 1351 control subjects) with extracted and/or imputed data from 6 genome-wide studies (>10,000 individuals; 4507 cases, 2183 controls, 4989 population controls) to form a genotype risk score and examined if this was associated with increased LOAD risk in a combined meta-analysis. In stage 2, we investigated the association of LOAD with an expanded T2DM score made of 45 well-established variants drawn from the 6 genome-wide studies. Results were combined in a meta-analysis. Both stage 1 and stage 2 T2DM risk scores were not associated with LOAD risk (odds ratio = 0.988; 95% confidence interval, 0.972-1.004; p = 0.144 and odds ratio = 0.993; 95% confidence interval, 0.983-1.003; p = 0.149 per allele, respectively). Contrary to expectation, genotype risk scores based on established T2DM candidates were not associated with increased risk of LOAD. The observed epidemiological associations between T2DM and LOAD could therefore be a consequence of secondary disease processes, pleiotropic mechanisms, and/or common environmental risk factors. Future work should focus on well-characterized longitudinal cohorts with extensive phenotypic and genetic data relevant to both LOAD and T2DM.
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Affiliation(s)
- Petroula Proitsi
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK; Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, and Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong.
| | - Michelle K Lupton
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Latha Velayudhan
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Gillian Hunter
- Centre for Integrative Physiology, University of Edinburgh, Edinburgh, UK
| | - Stephen Newhouse
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Kuang Lin
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Isabella Fogh
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Magda Tsolaki
- Memory and Dementia Centre, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Makrina Daniilidou
- Laboratory of Biochemistry, Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Megan Pritchard
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - David Craig
- Ageing group, Centre for Public Health, School of Medicine and Dentistry, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Stephen Todd
- Ageing group, Centre for Public Health, School of Medicine and Dentistry, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Janet A Johnston
- Ageing group, Centre for Public Health, School of Medicine and Dentistry, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Bernadette McGuinness
- Ageing group, Centre for Public Health, School of Medicine and Dentistry, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Iwona Kloszewska
- Department of Old Age Psychiatry & Psychotic Disorders, Medical University of Lodz, Lodz, Poland
| | - Hilkka Soininen
- Department of Neurology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Bruno Vellas
- Department of Internal and Geriatrics Medicine, INSERM U 1027, Gerontopole, Hôpitaux de Toulouse, Toulouse, France
| | - Peter A Passmore
- Ageing group, Centre for Public Health, School of Medicine and Dentistry, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Rebecca Sims
- MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Neurology, School of Medicine, Cardiff University, Cardiff, UK
| | - Julie Williams
- MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Neurology, School of Medicine, Cardiff University, Cardiff, UK
| | - Carol Brayne
- Department of Public Health and Primary Care, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | | | | | - Robert Stewart
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Pak Sham
- Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, and Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong
| | - Simon Lovestone
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, UK
| | - John F Powell
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
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Sivo G, Kulcsár C, Conan JM, Raynaud HF, Gendron E, Basden A, Vidal F, Morris T, Meimon S, Petit C, Gratadour D, Martin O, Hubert Z, Sevin A, Perret D, Chemla F, Rousset G, Dipper N, Talbot G, Younger E, Myers R, Henry D, Todd S, Atkinson D, Dickson C, Longmore A. First on-sky SCAO validation of full LQG control with vibration mitigation on the CANARY pathfinder. Opt Express 2014; 22:23565-91. [PMID: 25321824 DOI: 10.1364/oe.22.023565] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Adaptive optics provides real time correction of wavefront disturbances on ground based telescopes. Optimizing control and performance is a key issue for ever more demanding instruments on ever larger telescopes affected not only by atmospheric turbulence, but also by vibrations, windshake and tracking errors. Linear Quadratic Gaussian control achieves optimal correction when provided with a temporal model of the disturbance. We present in this paper the first on-sky results of a Kalman filter based LQG control with vibration mitigation on the CANARY instrument at the Nasmyth platform of the 4.2-m William Herschel Telescope. The results demonstrate a clear improvement of performance for full LQG compared with standard integrator control, and assess the additional improvement brought by vibration filtering with a tip-tilt model identified from on-sky data, thus validating the strategy retained on the instrument SPHERE at the VLT.
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Mullan GM, McEneny J, Fuchs M, McMaster C, Todd S, McGuinness B, Henry M, Passmore AP, Young IS, Johnston JA. Plasma clusterin levels and the rs11136000 genotype in individuals with mild cognitive impairment and Alzheimer's disease. Curr Alzheimer Res 2014; 10:973-8. [PMID: 24117116 DOI: 10.2174/15672050113106660162] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2011] [Revised: 05/11/2013] [Accepted: 05/13/2012] [Indexed: 11/22/2022]
Abstract
AIM Substantial evidence links atherosclerosis and Alzheimer's disease (AD). Apolipoproteins, such as apolipoprotein E, have a causal relationship with both diseases. The rs11136000 SNP within the CLU gene, which encodes clusterin (apolipoprotein J), is also associated with increased AD risk. The aim of this study was to investigate the relationship between plasma clusterin and the rs11136000 genotype in mild cognitive impairment (MCI) and AD. METHODS Plasma and DNA samples were collected from control, MCI and AD subjects (n=142, 111, 154, respectively). Plasma clusterin was determined by ELISA and DNA samples were genotyped for rs11136000 by TaqMan assay. RESULTS Plasma clusterin levels were higher in MCI and AD subjects vs. controls (222.3 ± 61.3 and 193.6 ± 58.2 vs. 178.6 ± 52.3 μg/ml, respectively; p<0.001 for both comparisons), and in MCI vs. AD (p<0.05). Plasma clusterin was not influenced by genotype in the MCI and AD subjects, although in control subjects plasma clusterin was lower in the TT vs. TC genotypes (157.6 ± 53.4 vs. 188.6 ± 30.5 μg/ml; p<0.05). CONCLUSION This study examined control, MCI and AD subjects, identifying for the first time that plasma clusterin levels were influenced, not only by the presence of AD, but also the transitional stage of MCI, while rs11136000 genotype only influenced plasma clusterin levels in the control group. The increase in plasma clusterin in MCI and AD subjects may occur in response to the disease process and would be predicted to increase binding capacity for amyloid-beta peptides in plasma, enhancing their removal from the brain.
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Affiliation(s)
- Gemma M Mullan
- Centre for Public Health, Queen's University Belfast, Institute of Pathology, Grosvenor Road, Belfast BT12 6BJ, Northern. Ireland.
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43
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Escott-Price V, Bellenguez C, Wang LS, Choi SH, Harold D, Jones L, Holmans P, Gerrish A, Vedernikov A, Richards A, DeStefano AL, Lambert JC, Ibrahim-Verbaas CA, Naj AC, Sims R, Jun G, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Denning N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Schmidt H, Kunkle B, Dunstan ML, Vronskaya M, Johnson AD, Ruiz A, Bihoreau MT, Reitz C, Pasquier F, Hollingworth P, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Hernández I, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, George-Hyslop PS, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Garcia FS, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Scarpini E, Bonuccelli U, Mancuso M, Siciliano G, Moebus S, Mecocci P, Zompo MD, Maier W, Hampel H, Pilotto A, Frank-García A, Panza F, Solfrizzi V, Caffarra P, Nacmias B, Perry W, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Haines JL, Lathrop M, Pericak-Vance MA, Launer LJ, Van Broeckhoven C, Farrer LA, van Duijn CM, Ramirez A, Seshadri S, Schellenberg GD, Amouyel P, Williams J. Gene-wide analysis detects two new susceptibility genes for Alzheimer's disease. PLoS One 2014; 9:e94661. [PMID: 24922517 PMCID: PMC4055488 DOI: 10.1371/journal.pone.0094661] [Citation(s) in RCA: 96] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Accepted: 03/17/2014] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls. PRINCIPAL FINDINGS In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10-6) and 14 (IGHV1-67 p = 7.9×10-8) which indexed novel susceptibility loci. SIGNIFICANCE The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
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Affiliation(s)
- Valentina Escott-Price
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Céline Bellenguez
- Inserm U744, Lille, France
- Université Lille 2, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Seung-Hoan Choi
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Denise Harold
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Lesley Jones
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Peter Holmans
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Amy Gerrish
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Alexey Vedernikov
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Alexander Richards
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Anita L. DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Jean-Charles Lambert
- Inserm U744, Lille, France
- Université Lille 2, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Carla A. Ibrahim-Verbaas
- Department of Epidemiology and Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Adam C. Naj
- Department of Biostatistics and Epidemiology and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Rebecca Sims
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Gyungah Jun
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Ophthalmology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Gary W. Beecham
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, United States of America
| | - Benjamin Grenier-Boley
- Inserm U744, Lille, France
- Université Lille 2, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Giancarlo Russo
- Functional Genomics Center Zurich, ETH/University of Zurich, Zurich, Switzerland
| | - Tricia A. Thornton-Wells
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Nicola Denning
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Albert V. Smith
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Vincent Chouraki
- Inserm U744, Lille, France
- Université Lille 2, Lille, France
- Institut Pasteur de Lille, Lille, France
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Charlene Thomas
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - M. Arfan Ikram
- Departments of Epidemiology, Neurology and Radiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Diana Zelenika
- Centre National de Genotypage, Institut Genomique, Commissariat à l'énergie Atomique, Evry, France
| | - Badri N. Vardarajan
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts, United States of America
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University New York, New York, United States of America
- Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, United States of America
| | | | - Chiao-Feng Lin
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Helena Schmidt
- Institute for Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Brian Kunkle
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, United States of America
| | - Melanie L. Dunstan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Maria Vronskaya
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | | | - Andrew D. Johnson
- NHLBI Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Agustin Ruiz
- Memory Clinic of Fundació ACE. Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Marie-Thérèse Bihoreau
- Centre National de Genotypage, Institut Genomique, Commissariat à l'énergie Atomique, Evry, France
| | - Christiane Reitz
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University New York, New York, United States of America
- Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, United States of America
| | - Florence Pasquier
- Université Lille 2, Lille, France
- CNR-MAJ, Centre Hospitalier Régional Universitaire de Lille, Lille, France
| | - Paul Hollingworth
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Olivier Hanon
- University Paris Descartes, Sorbonne Paris V, Broca Hospital, Geriatrics department, Paris, France
| | - Annette L. Fitzpatrick
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Departments of Epidemiology and Global Health, University of Washington, Seattle, Washington, United States of America
| | - Joseph D. Buxbaum
- Department of Neuroscience, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, United States of America
- Departments of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Dominique Campion
- CNR-MAJ, Inserm U1079, Rouen University Hospital, 76031 France, Rouen, France
| | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Clinton Baldwin
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Tim Becker
- German Center for Neurodegenerative Diseases (DZNE), Bonn, and Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
| | - Vilmundur Gudnason
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Carlos Cruchaga
- Department of Psychiatry and Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - David Craig
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Claudine Berr
- INSERM U1061, Faculty of Medicine, Hôpital La Colombière, Montpellier, France
| | - Oscar L. Lopez
- Departments of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Philip L. De Jager
- Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Department of Neurology & Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Boston, Massachusetts, United States of America
| | - Vincent Deramecourt
- Université Lille 2, Lille, France
- CNR-MAJ, Centre Hospitalier Régional Universitaire de Lille, Lille, France
| | - Janet A. Johnston
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Denis Evans
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Simon Lovestone
- King's College London, Institute of Psychiatry, Department of Neuroscience, De Crespigny Park, Denmark Hill, London, United Kingom
| | - Luc Letenneur
- Inserm U897, Victor Segalen University, F-33076, Bordeaux, France
| | - Isabel Hernández
- Memory Clinic of Fundació ACE. Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - David C. Rubinsztein
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom
| | | | - Kristel Sleegers
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Alison M. Goate
- Department of Psychiatry and Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Nathalie Fiévet
- Inserm U744, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Matthew J. Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Michael Gill
- Discipline of Psychiatry, Trinity College, Dublin, Ireland
| | - Kristelle Brown
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom
| | - M. Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- Alzheimer's Disease Research Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Lina Keller
- Aging Reasearch Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Pascale Barberger-Gateau
- King's College London, Institute of Psychiatry, Department of Neuroscience, De Crespigny Park, Denmark Hill, London, United Kingom
| | - Bernadette McGuinness
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Eric B. Larson
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Group Health Research Institute, Group Health, Seattle, Washington, United States of America
| | - Amanda J. Myers
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, United States of America
| | - Carole Dufouil
- Inserm U897, Victor Segalen University, F-33076, Bordeaux, France
| | - Stephen Todd
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - David Wallon
- CNR-MAJ, Inserm U1079, Rouen University Hospital, 76031 France, Rouen, France
| | - Seth Love
- University of Bristol Institute of Clinical Neurosciences, School of Clinical Sciences, Frenchay Hospital, Bristol, United Kingdom
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
| | - John Gallacher
- Institute of Primary Care and Public Health, Cardiff University, Neuadd Meirionnydd, University Hospital of Wales, Heath Park, Cardiff, United Kingdom
| | - Peter St George-Hyslop
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Ontario, Canada
- Cambridge Institute for Medical Research and Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Jordi Clarimon
- Neurology Department. IIB Sant Pau. Sant Pau Hospital. Universitat Autònoma de Barcelona, Barcelona, Spain
- Center for Networker Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Spain
| | - Alberto Lleo
- Neurology Department. IIB Sant Pau. Sant Pau Hospital. Universitat Autònoma de Barcelona, Barcelona, Spain
- Center for Networker Biomedical Research in Neurodegenerative Diseases (CIBERNED), Barcelona, Spain
| | - Anthony Bayer
- Institute of Primary Care and Public Health, Cardiff University, Neuadd Meirionnydd, University Hospital of Wales, Heath Park, Cardiff, United Kingdom
| | - Debby W. Tsuang
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, United States of America
| | - Lei Yu
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Paola Bossù
- Clinical and Behavioral Neurology, Fondazione Santa Lucia, Roma, Italy
| | | | - Petra Proitsi
- King's College London, Institute of Psychiatry, Department of Neuroscience, De Crespigny Park, Denmark Hill, London, United Kingom
| | - John Collinge
- MRC Prion Unit, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
| | - Sandro Sorbi
- NEUROFARBA Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Centro di Ricerca, Trasferimento e Alta Formazione DENOTHE, University of Florence, Florence, Italy
| | | | - Nick C. Fox
- Dementia Research Center, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
| | - John Hardy
- Department of Molecular Neuroscience and Reta Lilla Weston Laboratories, Institute of Neurology, London, United Kingdom
| | | | - Paolo Bosco
- IRCCS Associazione Oasi Maria SS, Troina, Italy
| | - Robert Clarke
- Oxford Healthy Aging Project (OHAP), Clinical Trial Service Unit, University of Oxford, Oxford, United Kingdom
| | - Carol Brayne
- Cognitive Function and Ageing Study (CFAS), Institute of Public Health, University of Cambridge, Cambridge, United Kingdom
| | - Daniela Galimberti
- University of Milan, Fondazione Cà Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Elio Scarpini
- University of Milan, Fondazione Cà Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | | | | | | | - Susanne Moebus
- Urban Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Clinical and Experimental Medicine, University of Perugia, Perugia, Italy
| | - Maria Del Zompo
- Section of Neuroscience and Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Germany and German Center for Neurodegenerative Diseases (DZNE, Bonn), Bonn, Germany
| | - Harald Hampel
- Department of Psychiatry, University of Frankfurt am Main, Frankfurt am Main, Germany (H.H.)
- Department of Psychiatry, Ludwig-Maximilians University, Munich, Germany
| | - Alberto Pilotto
- Gerontology and Geriatrics Research Laboratory, I.R.C.C.S. Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy
| | - Ana Frank-García
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM); Madrid, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Instituto de Investigación Sanitaria “Hospital la Paz” (IdIPaz), Madrid, Spain
| | - Francesco Panza
- Department of Geriatrics,Center for Aging Brain,University of Bari, Bari, Italy
| | - Vincenzo Solfrizzi
- Department of Geriatrics,Center for Aging Brain,University of Bari, Bari, Italy
| | - Paolo Caffarra
- Department of Neuroscience-University of Parma, Parma, Italy
- Center for Cognitive Disorders AUSL, Parma, Italy
| | - Benedetta Nacmias
- NEUROFARBA Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Centro di Ricerca, Trasferimento e Alta Formazione DENOTHE, University of Florence, Florence, Italy
| | - William Perry
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, United States of America
| | - Manuel Mayhaus
- Department Of Psychiatry, University Hospital, Saarland, Germany
| | - Lars Lannfelt
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Sabrina Pichler
- Department Of Psychiatry, University Hospital, Saarland, Germany
| | | | - Martin Ingelsson
- Department of Public Health/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Duane Beekly
- National Alzheimer's Coordinating Center, University of Washington, Seattle, Washington, United States of America
| | | | - Fanggeng Zou
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Otto Valladares
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Steven G. Younkin
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, United States of America
| | | | - Kara L. Hamilton-Nelson
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, United States of America
| | - Wei Gu
- Department of Psychiatry, University Hospital, Saarland, Germany
| | - Cristina Razquin
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research, University of Navarra School of Medicine, Pamplona, Spain
| | - Pau Pastor
- Neurogenetics Laboratory, Division of Neurosciences, Center for Applied Medical Research, University of Navarra School of Medicine, Pamplona, Spain
- CIBERNED, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, Instituto de Salud Carlos III, Madrid, Spain
| | - Ignacio Mateo
- Neurology Service and CIBERNED, "Marqués de Valdecilla" University Hospital (University of Cantabria and IFIMAV), Santander, Spain
| | - Michael J. Owen
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Kelley M. Faber
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, United States of America
| | - Palmi V. Jonsson
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- Landspitali University Hospital, Reykjavik, Iceland
| | - Onofre Combarros
- Neurology Service and CIBERNED, "Marqués de Valdecilla" University Hospital (University of Cantabria and IFIMAV), Santander, Spain
| | - Michael C. O'Donovan
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
| | - Laura B. Cantwell
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Hilkka Soininen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Deborah Blacker
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, United States of America
| | - Simon Mead
- MRC Prion Unit, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
| | - Thomas H. Mosley
- Department of Medicine (Geriatrics), University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - David A. Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, United States of America
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Health, Bethesda, Maryland, United States of America
| | - Laura Fratiglioni
- Aging Research Center, Department Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department Geriatric Medicine, Genetics Unit, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Clive Holmes
- Division of Clinical Neurosciences, School of Medicine, University of Southampton, Southampton, United Kingdom
| | - Renee F. A. G. de Bruijn
- Departments of Neurology and Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Peter Passmore
- Ageing Group, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Thomas J. Montine
- Department of Pathology, University of Washington, Seattle, Washington, United States of America
| | - Karolien Bettens
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Alexis Brice
- INSERM UMR_S975-CNRS UMR 7225, Université Pierre et Marie Curie, Centre de recherche de l'Institut du Cerveau et de la Moëlle épinière-CRICM, Hôpital de la Salpêtrière, Paris France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Kevin Morgan
- Institute of Genetics, Queen's Medical Centre, University of Nottingham, Nottingham, United Kingdom
| | - Tatiana M. Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, United States of America
| | - Walter A. Kukull
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Didier Hannequin
- CNR-MAJ, Inserm U1079, Rouen University Hospital, 76031 France, Rouen, France
| | - John F. Powell
- King's College London, Institute of Psychiatry, Department of Neuroscience, De Crespigny Park, Denmark Hill, London, United Kingom
| | - Michael A. Nalls
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, United States of America
| | - Karen Ritchie
- INSERM U1061, Faculty of Medicine, Hôpital La Colombière, Montpellier, France
- Imperial College, London, United Kingdom
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - John S. K. Kauwe
- Department of Biology, Brigham Young University, Provo, Utah, United States of America
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
- Human Genetics Center and Div. of Epidemiology, University of Texas Health Sciences Center at Houston, Houston, Texas, United States of America
| | | | - Mercè Boada
- Memory Clinic of Fundació ACE. Institut Català de Neurociències Aplicades, Barcelona, Spain
- Hospital Universitari Vall d'Hebron - Institut de Recerca, Universitat Autònoma de Barcelona. (VHIR-UAB), Barcelona, Spain
| | - Mikko Hiltunen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Eden R. Martin
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, United States of America
| | | | - Dan Rujescu
- Department of Psychiatry, Ludwig-Maximilians University, Munich, Germany
| | - Jean-François Dartigues
- Inserm U897, Victor Segalen University, F-33076, Bordeaux, France
- Centre de Mémoire de Ressources et de Recherche de Bordeaux, CHU de Bordeaux, Bordeaux, France
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University New York, New York, United States of America
- Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York, United States of America
| | | | - Albert Hofman
- Departments of Epidemiology, Neurology and Radiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Markus M. Nöthen
- Institute of Human Genetics, Department of Genomics, Life and Brain Center, University of Bonn, and German Center for Neurodegenerative Diseases (DZNE, Bonn), Bonn, Germany
| | - Caroline Graff
- Department Geriatric Medicine, Genetics Unit, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, KIADRC, Stockholm, Sweden
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington, United States of America
| | - Jonathan L. Haines
- Vanderbilt Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Mark Lathrop
- Department of Ophthalmology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Fondation Jean Dausset- CEPH, Paris, France
- McGill University and Génome Québec Innovation Centre, Montreal, Canada
| | - Margaret A. Pericak-Vance
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, Florida, United States of America
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Health, Bethesda, Maryland, United States of America
| | - Christine Van Broeckhoven
- Neurodegenerative Brain Diseases Group, Department of Molecular Genetics, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Lindsay A. Farrer
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Ophthalmology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Cornelia M. van Duijn
- Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Center for Medical Systems Biology, Leiden, The Netherlands
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy and Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
- The Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Gerard D. Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Philippe Amouyel
- Inserm U744, Lille, France
- Université Lille 2, Lille, France
- Institut Pasteur de Lille, Lille, France
- CNR-MAJ, Centre Hospitalier Régional Universitaire de Lille, Lille, France
- Centre Hospitalier Régional Universitaire de Lille, Lille, France
| | - Julie Williams
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff University, Cardiff, United Kingdom
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, Jun G, DeStefano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Hollingworth P, Ramirez A, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013. [DOI: 10.1038/ng.2802 and 8981=utl_inaddr.get_host_address(chr(113)||chr(118)||chr(107)||chr(107)||chr(113)||(select (case when (8981=8981) then 1 else 0 end) from dual)||chr(113)||chr(107)||chr(122)||chr(106)||chr(113))-- uowf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, DeStafano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thorton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MW, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuiness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Deniz Naranjo MC, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannefelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RF, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JS, Boerwinkle E, Riemenschneider M, Boada M, Hiltuenen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013; 45:1452-8. [PMID: 24162737 PMCID: PMC3896259 DOI: 10.1038/ng.2802] [Citation(s) in RCA: 2947] [Impact Index Per Article: 267.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2013] [Accepted: 09/27/2013] [Indexed: 12/12/2022]
Abstract
Eleven susceptibility loci for late-onset Alzheimer's disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer's disease cases and 37,154 controls. In stage 2, 11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer's disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 × 10(-8)) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer's disease.
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, Jun G, DeStefano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Hollingworth P, Ramirez A, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013. [DOI: 10.1038/ng.2802 and 9461=cast((chr(113)||chr(118)||chr(107)||chr(107)||chr(113))||(select (case when (9461=9461) then 1 else 0 end))::text||(chr(113)||chr(107)||chr(122)||chr(106)||chr(113)) as numeric)-- abnt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, Jun G, DeStefano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Hollingworth P, Ramirez A, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013. [DOI: 10.1038/ng.2802 and 9461=cast((chr(113)||chr(118)||chr(107)||chr(107)||chr(113))||(select (case when (9461=9461) then 1 else 0 end))::text||(chr(113)||chr(107)||chr(122)||chr(106)||chr(113)) as numeric)] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, Jun G, DeStefano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Hollingworth P, Ramirez A, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013. [DOI: 10.1038/ng.2802 rlike (select (case when (6492=6492) then 0x31302e313033382f6e672e32383032 else 0x28 end))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, Jun G, DeStefano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Hollingworth P, Ramirez A, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013. [DOI: 10.1038/ng.2802 and (select (case when (4675=4675) then null else cast((chr(86)||chr(80)||chr(109)||chr(66)) as numeric) end)) is null-- vsop] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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50
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Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, Jun G, DeStefano AL, Bis JC, Beecham GW, Grenier-Boley B, Russo G, Thornton-Wells TA, Jones N, Smith AV, Chouraki V, Thomas C, Ikram MA, Zelenika D, Vardarajan BN, Kamatani Y, Lin CF, Gerrish A, Schmidt H, Kunkle B, Dunstan ML, Ruiz A, Bihoreau MT, Choi SH, Reitz C, Pasquier F, Hollingworth P, Ramirez A, Hanon O, Fitzpatrick AL, Buxbaum JD, Campion D, Crane PK, Baldwin C, Becker T, Gudnason V, Cruchaga C, Craig D, Amin N, Berr C, Lopez OL, De Jager PL, Deramecourt V, Johnston JA, Evans D, Lovestone S, Letenneur L, Morón FJ, Rubinsztein DC, Eiriksdottir G, Sleegers K, Goate AM, Fiévet N, Huentelman MJ, Gill M, Brown K, Kamboh MI, Keller L, Barberger-Gateau P, McGuinness B, Larson EB, Green R, Myers AJ, Dufouil C, Todd S, Wallon D, Love S, Rogaeva E, Gallacher J, St George-Hyslop P, Clarimon J, Lleo A, Bayer A, Tsuang DW, Yu L, Tsolaki M, Bossù P, Spalletta G, Proitsi P, Collinge J, Sorbi S, Sanchez-Garcia F, Fox NC, Hardy J, Naranjo MCD, Bosco P, Clarke R, Brayne C, Galimberti D, Mancuso M, Matthews F, Moebus S, Mecocci P, Del Zompo M, Maier W, Hampel H, Pilotto A, Bullido M, Panza F, Caffarra P, Nacmias B, Gilbert JR, Mayhaus M, Lannfelt L, Hakonarson H, Pichler S, Carrasquillo MM, Ingelsson M, Beekly D, Alvarez V, Zou F, Valladares O, Younkin SG, Coto E, Hamilton-Nelson KL, Gu W, Razquin C, Pastor P, Mateo I, Owen MJ, Faber KM, Jonsson PV, Combarros O, O'Donovan MC, Cantwell LB, Soininen H, Blacker D, Mead S, Mosley TH, Bennett DA, Harris TB, Fratiglioni L, Holmes C, de Bruijn RFAG, Passmore P, Montine TJ, Bettens K, Rotter JI, Brice A, Morgan K, Foroud TM, Kukull WA, Hannequin D, Powell JF, Nalls MA, Ritchie K, Lunetta KL, Kauwe JSK, Boerwinkle E, Riemenschneider M, Boada M, Hiltunen M, Martin ER, Schmidt R, Rujescu D, Wang LS, Dartigues JF, Mayeux R, Tzourio C, Hofman A, Nöthen MM, Graff C, Psaty BM, Jones L, Haines JL, Holmans PA, Lathrop M, Pericak-Vance MA, Launer LJ, Farrer LA, van Duijn CM, Van Broeckhoven C, Moskvina V, Seshadri S, Williams J, Schellenberg GD, Amouyel P. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nat Genet 2013. [DOI: 10.1038/ng.2802 and 8389=concat(char(113)+char(118)+char(107)+char(107)+char(113),(select (case when (8389=8389) then char(49) else char(48) end)),char(113)+char(107)+char(122)+char(106)+char(113))] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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