ENIGMA Bipolar Initiative: A Global Study of Imaging Genomics & Clinical Outcomes
ENIGMA 双极倡议:影像基因组学的全球研究
基本信息
- 批准号:10598611
- 负责人:
- 金额:$ 58.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-01 至 2027-01-31
- 项目状态:未结题
- 来源:
- 关键词:AffectAgeAge of OnsetAntidepressive AgentsAttentionAustraliaBayesian MethodBehavioralBipolar DisorderBipolar IBrainBrain imagingBrain regionBrazilCanadaCapitalCategoriesChronicClinicalCollectionComplexCorpus CallosumCountryDataData CollectionData ElementDiagnosisDiagnosticDiffuseDiffusionDiffusion Magnetic Resonance ImagingDiseaseDisease ProgressionDoseEmotionsEthnic OriginEvaluationFamilyFirst Degree RelativeFranceFunctional Magnetic Resonance ImagingFunctional disorderGeneral PopulationGeneticGenetic Predisposition to DiseaseGenetic RiskGenomicsGermanyImageImpairmentIndividualInfrastructureInternationalInvestigationJapanLettersLifeLife ExpectancyLinkLongevityMajor Depressive DisorderManicMapsMeasuresMental DepressionModelingMonitorMoodsNetherlandsNeurobiologyNeurosciencesNew YorkNorwayObesityOutcomePatientsPatternPersonal SatisfactionPharmaceutical PreparationsPhenotypePower SourcesPredictive ValuePrefrontal CortexProductivityPrognosisProtocols documentationRecoveryReportingReproducibilityResearchResearch Domain CriteriaResourcesRestRewardsRiskSamplingScanningSeveritiesSiteSleep disturbancesSouth AfricaStandardizationStructureSuicide attemptSusceptibility GeneSymptomsSystemTalentsTestingTherapeuticThickTreatment outcomeWomanWorkassociated symptombiomarker validationbiotypesclinical imagingcohortcomorbiditycomparison controlcostcost effectivecrowdsourcingdata harmonizationdata-driven modeldemographicsdepressive symptomsdesigndisorder subtypeemotion dysregulationfollow-upfunctional disabilityfunctional outcomesgenetic variantgenomic biomarkergenomic dataimaging biomarkerimaging detectionimaging studyimprovedinnovationmenmultimodalityneuroimagingoutcome predictionpatient subsetspolygenic risk scorepsychosocialresiliencesocial relationshipssuicide ratetooltreatment effecttreatment responsewhite matterworking group
项目摘要
ABSTRACT
Bipolar disorder (BD) is a devastating and poorly understood illness. Its burden exceeds $202 billion a year in
direct treatment, societal and family costs. With no known cure and limited therapeutic options, 50% of patients
attempt suicide at least once; up to 30% of patients do not respond to first-line treatment - even with the latest
medications and psychosocial therapy - yet bipolar disorder has only received a small fraction of the amount of
research attention that goes into serious non-psychiatric illness. Differentiating BD from major depression is
crucial for understanding BD pathophysiology. Advances in imaging are beginning to offer the first detailed,
reproducible, and reliable data on brain changes in BD and how they progress, but the lack of global initiatives
in bipolar disorder has stalled research. The high cost of data collection - few studies scan more than a hundred
patients - has led to underpowered studies whose findings often fail to replicate, cannot adequately model
confounds, and often lack power to identify factors that modulate disease progression or recovery. Our ENIGMA
Bipolar Initiative offers a new, cost-effective, innovative global approach - a new source of power to unblock this
logjam by merging resources, capital infrastructure and talents of leading BD centers including data from
48 cohorts across the world. ENIGMA’s Global Alliance for Worldwide Imaging Genomics in Bipolar
Disorder - builds on our thriving ENIGMA Consortium. ENIGMA’s approach merges data from tens of thousands
of individuals and “gives us a power we have not had”, and is “breaking the logjam in neuroscience” (New York
Times). The Lancet hailed ENIGMA as “Crowdsourcing meets Neuroscience”. In designing the ENIGMA-Bipolar
initiative, we identified the most productive activities in the ENIGMA Bipolar working group, and organized them
into 3 themes - imaging, genomics, and cross-disorder comparisons. This global initiative tackles key
questions in BD: how does the illness affect the brain? What imaging and genomic biomarkers assist diagnosis,
monitor treatment, and predict outcomes? How do BD genetic susceptibility loci affect the brain? With global
data and expert teams from 15 countries (see Support Letters), we tackle imaging, genomic, and predictive
questions about BD with unprecedented power. Across Brazil, Japan, the US, Canada, Norway, The
Netherlands, Germany, France, Australia, and South Africa - what brain differences do we reproducibly
detect in BD (with structural/diffusion MRI, connectomics and resting state fMRI)? How do they vary across life,
with illness duration, by demographics, in women versus men, by age of onset, subtype and treatment? Using
ENIGMA’s harmonized protocols, we will analyze the largest collection of multisite neuroimaging data in BD -
diverse in age, ethnicity, treatment response - to track disease worldwide. In a new Cross-Disorder partnership
of ENIGMA-BD and MDD, we use ENIGMA’s data-driven models to detect imaging and genomic biomarkers to
distinguish the 2 disorders and identify subtypes. After harmonizing data elements across disorders, we will
create a ranked list of actionable factors that affect prognosis in BD.
抽象的
双相情感障碍(BD)是一种毁灭性的疾病,理解不足。它的燃烧超过每年202亿美元
直接治疗,社会和家庭成本。没有已知的治愈方法和有限的治疗选择,有50%的患者
至少尝试自杀一次;多达30%的患者对一线治疗没有反应 - 即使是最新的
药物和社会心理疗法 - 但双相情感障碍仅收到的一小部分
研究严重的非精神病患者的注意力。将BD与大抑郁症区分开来
对于理解BD病理生理学至关重要。成像的进步开始提供第一个详细的信息,
可再现的,可靠的,可靠的关于BD大脑变化及其进步的数据,但缺乏全球计划
在躁郁症中,研究陷入僵局。数据收集成本高 - 很少有研究扫描一百多个
患者 - 导致了能力不足的研究,其发现通常无法复制,无法充分建模
混淆,通常缺乏识别调节疾病进展或康复的因素的能力。我们的谜
双极倡议提供了一种新的,具有成本效益的创新全球方法 - 取消阻止此的新力量来源
合并资源,资本基础设施和领先BD中心的才能的logjam,包括来自
48个在世界各地。 Enigma的全球全球成像基因组学联盟在双极
障碍 - 建立在我们繁荣的谜团的基础上。 Enigma的方法合并了数以万计的数据
个人和“赋予我们我们没有拥有的力量”,并且正在“破坏神经科学的logjam”(纽约
时代)。柳叶刀称呼为“众包遇到神经科学”。在设计谜团时
主动性,我们确定了谜躁郁症工作组中最有生产力的活动,并组织了它们
分为3个主题 - 成像,基因组学和跨二项比较。这项全球倡议解决了关键
BD中的问题:疾病如何影响大脑?哪些成像和基因组生物标志物有助于诊断,
监测治疗并预测结果? BD遗传易感性位置如何影响大脑?与全球
来自15个国家 /地区的数据和专家团队(请参阅支持信),我们处理成像,基因组和预测
关于BD具有前所未有的权力的问题。在巴西,日本,美国,加拿大,挪威,
荷兰,德国,法国,澳大利亚和南非 - 我们可重复地有什么大脑差异
在BD中检测(具有结构/扩散MRI,连接组学和静止状态fMRI)?它们如何在生活中变化,
随着疾病的持续时间,按人口统计,在女性与男性中,按发病,亚型和治疗年龄?使用
Enigma的协调协议,我们将分析BD中最大的多站点神经影像学数据集合。
年龄,种族,治疗反应的潜水员 - 追踪全球疾病。在新的跨界合作伙伴关系中
在Enigma-BD和MDD中,我们使用Enigma的数据驱动模型来检测成像和基因组生物标志物
区分两种疾病并识别亚型。在跨疾病统一数据元素之后,我们将
创建一个可行的因素的排名列表,以影响BD中的提示。
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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Ole A Andreassen其他文献
Improved functional mapping with GSA-MiXeR implicates biologically specific gene-sets and estimates enrichment magnitude
使用 GSA-MiXeR 改进功能图谱,揭示生物特异性基因集并估计富集程度
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
O. Frei;G. Hindley;A. Shadrin;D. Meer;B. Akdeniz;W. Cheng;K. S. O'Connell;S. Bahrami;N. Parker;O. Smeland;Dominic;Holland;C. D. Leeuw;D. Posthuma;Ole A Andreassen;A. M. Dale - 通讯作者:
A. M. Dale
Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation
按时间表达模式对精神分裂症基因进行聚类有助于功能解释
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:6.6
- 作者:
D. van der Meer;W. Cheng;J. Rokicki;Sara Fernandez;Alexey Shadrin;O. Smeland;Friederike Ehrhart;Sinan Gülöksüz;L. Pries;Bochao Lin;Bart P F Rutten;J. van os;M. O’Donovan;A. Richards;N. Steen;S. Djurovic;L. Westlye;Ole A Andreassen;T. Kaufmann - 通讯作者:
T. Kaufmann
Genome-wide analyses reveal a potential role for the MAPT, MOBP, and APOE loci in sporadic frontotemporal dementia.
全基因组分析揭示了 MAPT、MOBP 和 APOE 位点在散发性额颞叶痴呆中的潜在作用。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:9.8
- 作者:
Claudia Manzoni;D. Kia;Raffaele Ferrari;G. Leonenko;Beatrice Costa;Valentina Saba;Edwin Jabbari;M. Tan;D. Albani;V. Álvarez;Ignacio Alvarez;Ole A Andreassen;Antonella Angiolillo;A. Arighi;Matt Baker;L. Benussi;V. Bessi;G. Binetti;Daniel J. Blackburn;Mercè Boada;B. Boeve;S. Borrego;B. Borroni;G. Bråthen;W. Brooks;A. C. Bruni;P. Caroppo;S. Bandres;J. Clarimón;R. Colao;C. Cruchaga;Adrian Danek;Sterre C. M. de Boer;I. de Rojas;A. Di Costanzo;Dennis W. Dickson;J. Diehl‐Schmid;Carol Dobson;O. Dols;Aldo Donizetti;E. Dopper;Elisabetta Durante;C. Ferrari;G. Forloni;F. Frangipane;Laura Fratiglioni;M. Kramberger;Daniela Galimberti;Maurizio Gallucci;P. García;R. Ghidoni;G. Giaccone;Caroline Graff;N. Graff;Jordan Grafman;Glenda M Halliday;Dena G. Hernandez;L. Hjermind;John R. Hodges;G. Holloway;E. Huey;I. Illán;K. Josephs;D. Knopman;M. Kristiansen;John B. Kwok;I. Leber;H. Leonard;Ilenia Libri;A. Lleó;Ian R. A. Mackenzie;G. Madhan;R. Maletta;M. Marquié;A. Maver;M. Menéndez;Graziella Milan;Bruce L. Miller;Christopher M. Morris;Huw R. Morris;B. Nacmias;J. Newton;Jørgen E. Nielsen;Christer Nilsson;V. Novelli;Alessandro Padovani;S. Pal;F. Pasquier;P. Pástor;Robert Perneczky;B. Peterlin;R. C. Petersen;Olivier Piguet;Y. Pijnenburg;A. Puca;R. Rademakers;I. Rainero;L. Reus;A. Richardson;Matthias Riemenschneider;E. Rogaeva;Boris Rogelj;S. Rollinson;H. Rosen;G. Rossi;James B. Rowe;E. Rubino;Agustin Ruiz;Erika Salvi;R. Sánchez;S. Sando;A. Santillo;Jennifer A. Saxon;Johannes CM. Schlachetzki;S. Scholz;H. Seelaar;W. Seeley;M. Serpente;S. Sorbi;S. Sordon;Peter St. George;Jennifer C. Thompson;C. van Broeckhoven;V. V. Van Deerlin;S. J. van der Lee;J. V. van Swieten;Fabrizio Tagliavini;J. van der Zee;Arianna Veronesi;Emilia Vitale;M. L. Waldo;Jennifer S. Yokoyama;Mike A Nalls;P. Momeni;Andy Singleton;John Hardy;Valentina Escott - 通讯作者:
Valentina Escott
Ole A Andreassen的其他文献
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{{ truncateString('Ole A Andreassen', 18)}}的其他基金
3/7 Psychiatric Genomics Consortium: Advancing Discovery and Impact
3/7 精神病学基因组学联盟:推进发现和影响
- 批准号:
10380568 - 财政年份:2021
- 资助金额:
$ 58.95万 - 项目类别:
3/7 Psychiatric Genomics Consortium: Advancing Discovery and Impact
3/7 精神病学基因组学联盟:推进发现和影响
- 批准号:
10611848 - 财政年份:2021
- 资助金额:
$ 58.95万 - 项目类别:
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