1/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECT
1/2 极端遗传学:对接受 ECT 的临床严重抑郁症患者进行有效的基因组研究
基本信息
- 批准号:10215488
- 负责人:
- 金额:$ 162.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-23 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:Academic Medical CentersAcuteAddressAffectAgeAutomobile DrivingBiologicalBrainClinicalClinical DataCollaborationsCommunitiesConsentDataDemographic FactorsDevelopmentDiseaseDisease remissionElectroconvulsive TherapyGenesGeneticGenetic Predisposition to DiseaseGenetic RiskGenetic VariationGenetic studyGenomicsGenotypeGoalsHeritabilityImpaired cognitionIndividualMajor Depressive DisorderMatched GroupMeasuresMental DepressionMental disordersMethodsMolecularMood DisordersNational Institute of Mental HealthPaperPathway interactionsPatient CarePatientsPhenotypePlayPopulationPsychiatristPsychiatryRefractoryResearch PersonnelResistanceRiskSample SizeSamplingSeveritiesShapesSignal TransductionSourceSubgroupSuicideSusceptibility GeneTestingWorkadverse outcomebasebrain cellcell typecognitive functioncostdisabilityeffective therapyfollow-upfunctional genomicsgenetic architecturegenetic predictorsgenetic variantgenome wide association studygenome-widegenome-wide analysispredictive modelingprimary outcomeprospectivepsychiatric genomicsresponsesextraittreatment adherencetreatment strategy
项目摘要
This proposal brings together investigators from around the world to carry out a genetic study of severe
major depressive disorder (MDD) treated with electroconvulsive therapy (ECT). These individuals are
among the most severely ill people seen by psychiatrists, and we anticipate that genetic studies will
have greater power. The driving goals of the proposal are to identify genetic variation that 1) is
associated with severe MDD and indicate which patients are candidates for ECT, and 2) influence
response to ECT and predict which patients may benefit from treatment. MDD is a leading cause of
disability worldwide, and up to a third of patients do not respond to first line therapies. The search to
find the right treatment may require a lengthy period of trial and error with multiple treatments during
which patients continue to suffer and remain at elevated risk for adverse outcomes, including suicide.
ECT is one of the more effective treatments for severe MDD that is refractory to first line therapies.
However, even with ECT between one-third to one-half of patients fail to achieve remission after acute
treatment, and cognitive impairments may emerge that limit its wider use. It is clear genetic factors
contribute to risk for MDD, and recent studies genome-wide association studies (GWAS) have identified
>100 susceptibility loci. However, MDD is a heterogeneous condition, and most of the cases in the
previous GWAS were of lesser severity. Studies have shown that severe/treatment refractory MDD is
a more heritable sub-type, highlighting the potential benefit of focusing on severe MDD by studying
those treated with ECT. Moreover, there is evidence that genetic factors may shape clinical response
to ECT, but this has not been studied genome-wide with sufficient sample sizes. To address these
limitations, the Genetics of ECT Consortium (GenECT, a PGC MDD subgroup) has brought together
ECT centers globally, including those in the National Network of Depression Centers (NNDC) in the US,
to carry out a genetic study with the following aims: 1) ascertain, broadly consent, consistently
phenotype, and biosample 25,000 patients with severe MDD treated by ECT; 2) conduct a GWAS
against age, sex and ancestry matched controls to identify genetic variants that contribute to risk for
severe MDD; and 3) conduct a GWAS of clinical response to ECT in a sub-sample of 10,000 cases with
prospective follow-up data to identify genetic variants associated with changes in measures of MDD or
occurrence of cognitive impairments. This proposal will advance our understanding of the genetic
etiology of severe MDD which, in turn, will motivate the development of new and more effective
treatment strategies for this burdensome and difficult to treat condition. In addition, it will identify genetic
factors that can help distinguish which patients are good candidates for ECT even before initiating
treatment.
该提案汇集了来自世界各地的研究人员,对重症患者进行基因研究
采用电休克疗法(ECT)治疗重度抑郁症(MDD)。这些人是
是精神科医生见过的病情最严重的人之一,我们预计基因研究将
拥有更大的权力。该提案的驱动目标是确定遗传变异:1)
与严重 MDD 相关并表明哪些患者适合接受 ECT,以及 2) 影响
对 ECT 的反应并预测哪些患者可能从治疗中受益。 MDD 是导致
全球范围内都有残疾,多达三分之一的患者对一线治疗没有反应。搜索到
找到正确的治疗方法可能需要长时间的反复试验和多次治疗
患者继续遭受痛苦,并面临较高的不良后果风险,包括自杀。
ECT 是治疗一线治疗难以治愈的严重 MDD 的更有效的治疗方法之一。
然而,即使采用 ECT,仍有三分之一到二分之一的患者在急性发作后未能获得缓解。
治疗和认知障碍可能会限制其更广泛的使用。遗传因素很明显
导致 MDD 的风险,最近的全基因组关联研究 (GWAS) 已发现
>100 个易感位点。然而,MDD 是一种异质性疾病,大多数病例都存在于
之前的 GWAS 严重程度较低。研究表明,重度/难治性 MDD 是
一种更具遗传性的亚型,强调通过研究关注严重MDD的潜在好处
那些接受ECT治疗的人。此外,有证据表明遗传因素可能影响临床反应
ECT,但这尚未在全基因组范围内以足够的样本量进行研究。为了解决这些
由于局限性,ECT 联盟遗传学(GenECT,PGC MDD 亚组)汇集了
全球 ECT 中心,包括美国国家抑郁症中心网络 (NNDC) 的中心,
进行基因研究,其目的如下:1) 确定、广泛同意、一致
表型和生物样本 25,000 名接受 ECT 治疗的严重 MDD 患者; 2)进行GWAS
针对年龄、性别和血统匹配的对照,以识别导致风险的遗传变异
严重MDD; 3) 在 10,000 个病例的子样本中进行 ECT 临床反应的 GWAS
前瞻性随访数据,以确定与 MDD 测量值变化相关的遗传变异或
认知障碍的发生。该提议将增进我们对遗传的理解
严重 MDD 的病因学,反过来将推动新的、更有效的治疗方法的开发
针对这种繁重且难以治疗的疾病的治疗策略。此外,它还能识别遗传
甚至在开始之前就可以帮助区分哪些患者适合接受 ECT 的因素
治疗。
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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Peter P. Zandi其他文献
Large-scale transcriptomic analyses of major depressive disorder reveal convergent dysregulation of synaptic pathways in excitatory neurons
对重度抑郁症的大规模转录组学分析揭示了兴奋性神经元中突触通路的趋同失调
- DOI:
10.1038/s41467-025-59115-4 - 发表时间:
2025-04-28 - 期刊:
- 影响因子:15.700
- 作者:
Fernando S. Goes;Leonardo Collado-Torres;Peter P. Zandi;Louise Huuki-Myers;Ran Tao;Andrew E. Jaffe;Geo Pertea;Joo Heon Shin;Daniel R. Weinberger;Joel E. Kleinman;Thomas M. Hyde - 通讯作者:
Thomas M. Hyde
Dementia: The leading predictor of death in a defined elderly population
痴呆症:特定老年人群死亡的主要预测因素
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:9.9
- 作者:
J. Tschanz;C. Corcoran;I. Skoog;A. Khachaturian;J. Herrick;K. Hayden;K. Welsh;T. Calvert;M. Norton;Peter P. Zandi;J. Breitner - 通讯作者:
J. Breitner
Saturday Abstracts
- DOI:
10.1016/j.biopsych.2007.03.009 - 发表时间:
2007-04-15 - 期刊:
- 影响因子:
- 作者:
Virginia L. Willour;Peter P. Zandi;Judith A. Badner;Jo Steele;Kuangyi Miao;Victor Lopez;Dean F. MacKinnon;Francis M. Mondimore;Barbara Schweizer;Melvin G. McInnis;Erin B. Miller;J. Raymond DePaulo;Elliot S. Gershon;Francis J. McMahon;James B. Potash - 通讯作者:
James B. Potash
The timing and severity of clozapine-associated neutropenia in the US: Is the risk overstated?
- DOI:
10.1016/j.schres.2024.08.018 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Allison S. Brandt;Frederick C. Nucifora;Peter P. Zandi;Russell L. Margolis - 通讯作者:
Russell L. Margolis
The genetics of severe depression
重度抑郁症的遗传学
- DOI:
10.1038/s41380-024-02731-1 - 发表时间:
2024-10-15 - 期刊:
- 影响因子:10.100
- 作者:
Clio E. Franklin;Eric Achtyes;Murat Altinay;Kala Bailey;Mahendra T. Bhati;Brent R. Carr;Susan K. Conroy;Mustafa M. Husain;Khurshid A. Khurshid;Todd Lencz;William M. McDonald;Brian J. Mickey;James Murrough;Sean Nestor;Thomas Nickl-Jockschat;Sina Nikayin;Kevin Reeves;Irving M. Reti;Salih Selek;Gerard Sanacora;Nicholas T. Trapp;Biju Viswanath;Jesse H. Wright;Patrick Sullivan;Peter P. Zandi;James B. Potash - 通讯作者:
James B. Potash
Peter P. Zandi的其他文献
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{{ truncateString('Peter P. Zandi', 18)}}的其他基金
3/4 Asian Bipolar Genetics Network (A-BIG-NET)
3/4 亚洲双相遗传学网络(A-BIG-NET)
- 批准号:
10705721 - 财政年份:2022
- 资助金额:
$ 162.33万 - 项目类别:
3/4 Asian Bipolar Genetics Network (A-BIG-NET)
3/4 亚洲双相情感网络(A-BIG-NET)
- 批准号:
10502275 - 财政年份:2022
- 资助金额:
$ 162.33万 - 项目类别:
1/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECT
1/2 极端遗传学:对接受 ECT 的临床严重抑郁症患者进行有效的基因组研究
- 批准号:
10462540 - 财政年份:2019
- 资助金额:
$ 162.33万 - 项目类别:
1/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECT
1/2 极端遗传学:对接受 ECT 的临床严重抑郁症患者进行有效的基因组研究
- 批准号:
10021707 - 财政年份:2019
- 资助金额:
$ 162.33万 - 项目类别:
Metamoodics: Meta-analyses and bioinformatics display of mood disorders genetics
Metamoodics:情绪障碍遗传学的荟萃分析和生物信息学展示
- 批准号:
8196886 - 财政年份:2009
- 资助金额:
$ 162.33万 - 项目类别:
Metamoodics: Meta-analyses and bioinformatics display of mood disorders genetics
Metamoodics:情绪障碍遗传学的荟萃分析和生物信息学展示
- 批准号:
7785947 - 财政年份:2009
- 资助金额:
$ 162.33万 - 项目类别:
Metamoodics: Meta-analyses and bioinformatics display of mood disorders genetics
Metamoodics:情绪障碍遗传学的荟萃分析和生物信息学展示
- 批准号:
7995268 - 财政年份:2009
- 资助金额:
$ 162.33万 - 项目类别:
BIOINFORMATICS TO DISCOVER GENES IN PSYCHIATRIC ILLNESS
利用生物信息学发现精神疾病基因
- 批准号:
7341748 - 财政年份:2005
- 资助金额:
$ 162.33万 - 项目类别:
BIOINFORMARTICS TO DISCOVER GENES IN PSYCHIATRIC ILLNESS
利用生物信息学发现精神疾病基因
- 批准号:
6857606 - 财政年份:2005
- 资助金额:
$ 162.33万 - 项目类别:
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