Big data screening for associations between medication use and ALS
大数据筛选药物使用与 ALS 之间的关联
基本信息
- 批准号:9233275
- 负责人:
- 金额:$ 23.29万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-15 至 2019-03-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAffectAge of OnsetAmericanAmyotrophic Lateral SclerosisAttentionBig DataBiologicalClinical TrialsCombination MedicationComplexDataData SetDatabasesDenmarkDiseaseDrug CompoundingElderlyEpidemiologyEtiologyFaceGeneticGoalsHealthHealth systemIn VitroIncidenceIndividualInvestigationIsraelLaboratory ResearchLogicNeurodegenerative DisordersOutcomePatientsPharmaceutical PreparationsPharmacologic SubstancePopulationPrevalenceProbabilityProcessRegistriesResearchRiluzoleRiskRoleSurvival AnalysisSystemTestingTherapeuticTherapeutic EffectTherapeutic InterventionTherapeutic UsesTimeToxicologyVariantWorkbasebiological systemscase controlclinical phenotypedesignepidemiologic dataepidemiology studyforesthealth datahigh dimensionalityhigh throughput screeninginsightnon-geneticnovelnovel therapeuticsprospectivescreeningtransmission process
项目摘要
PROJECT SUMMARY/ABSTRACT
Our long-term goal is to identify medications, or combinations of medications, that may affect incidence of
amyotrophic lateral sclerosis (ALS) or alter the progression of ALS. In vitro efforts to exploring single
compounds for efficacy in ALS therapeutics based on proposed biological mechanisms for the disease is a
valuable and warranted approach, but it is inherently slow because of the need to test compounds one at a
time. It also does not explore effects of combinations and it cannot test the role of these compounds in ALS
incidence. Given the wide array of medications that older adults take, and the possibility that different
combinations of medications may be relevant, we propose that a valuable parallel approach would be an
epidemiological screening process to test whether any currently used medications are related to ALS incidence
or survival. This would be akin to in vitro high throughput screening, but using novel statistical approaches to
explore high dimensional “big” epidemiological data (many people, many medications) for associations with
ALS and ALS survival: specifically, boolean logic regression and random forests in a nested case-control and
survival analysis framework. These approaches allow for efficiently exploring high-dimensional, likely
correlated, data for associations between individual medications and different combinations of medications and
an outcome, here ALS. In order to accomplish this, we propose to use two parallel very large data sets with
prospectively and objectively collected pharmaceutical and health data: The Danish Registry System and the
Clalit Health System in Israel, with a total of approximately 4,300 ALS cases and over 300,000 controls. By
using the two data sets in different populations we will increase the probability of identifying causally related
compounds by identifying those that screen positive in both populations. The results of this work have the
possibility to identify currently used medications or combinations of these medications that can affect ALS and
survival with ALS. Any positive results could open up new research avenues that include targeted clinical trials
as well as potentially new directions for epidemiological studies and laboratory research into underlying
mechanisms.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Marc G Weisskopf其他文献
The opioid peptide dynorphin mediates heterosynaptic depression of hippocampal mossy fibre synapses and modulates long-term potentiation
阿片样肽强啡肽介导海马苔藓纤维突触的异突触抑制并调节长时程增强
- DOI:
10.1038/362423a0 - 发表时间:
1993-04-01 - 期刊:
- 影响因子:48.500
- 作者:
Marc G Weisskopf;Robert A Zalutsky;Roger A Nicoll - 通讯作者:
Roger A Nicoll
Marc G Weisskopf的其他文献
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{{ truncateString('Marc G Weisskopf', 18)}}的其他基金
Child and adult Metal exposures, gene expression and neuropathologically confirmed Alzheimer's Disease
儿童和成人金属暴露、基因表达和神经病理学证实的阿尔茨海默病
- 批准号:
10901032 - 财政年份:2023
- 资助金额:
$ 23.29万 - 项目类别:
Military exposures and ALS in a large veteran population
大量退伍军人中的军事暴露和 ALS
- 批准号:
10701049 - 财政年份:2022
- 资助金额:
$ 23.29万 - 项目类别:
Military exposures and ALS in a large veteran population
大量退伍军人中的军事暴露和 ALS
- 批准号:
10609998 - 财政年份:2022
- 资助金额:
$ 23.29万 - 项目类别:
International Society for Environmental Epidemiology (ISEE) Annual Conference
国际环境流行病学学会(ISEE)年会
- 批准号:
10432038 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
Pre-disease biomarkers of persistent organic pollutants, immune system, and amyotrophic lateral sclerosis
持久性有机污染物、免疫系统和肌萎缩侧索硬化症的病前生物标志物
- 批准号:
10438145 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
Metals and Developmental Origins of Late Life Cognitive Function
金属与晚年认知功能的发育起源
- 批准号:
10256790 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
Pre-disease biomarkers of persistent organic pollutants, immune system, and amyotrophic lateral sclerosis
持久性有机污染物、免疫系统和肌萎缩侧索硬化症的病前生物标志物
- 批准号:
10119592 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
Metals and Developmental Origins of Late Life Cognitive Function
金属与晚年认知功能的发育起源
- 批准号:
10653000 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
International Society for Environmental Epidemiology (ISEE) Annual Conference
国际环境流行病学学会(ISEE)年会
- 批准号:
10207644 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
Metals and Developmental Origins of Late Life Cognitive Function
金属与晚年认知功能的发育起源
- 批准号:
10027714 - 财政年份:2020
- 资助金额:
$ 23.29万 - 项目类别:
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