Genetics of Osteoarthritis and Joint Replacement Recovery: Key to Precision Rehabilitation
骨关节炎的遗传学和关节置换恢复:精准康复的关键
基本信息
- 批准号:10839541
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingActivities of Daily LivingAdmixtureAge YearsArthritisDataDegenerative polyarthritisDiagnosisDiseaseDisease ProgressionEthnic OriginEthnic PopulationFailureGeneral PopulationGeneticGoalsHabilitationHealth Care CostsHealthcare SystemsHeritabilityHeterogeneityHip region structureHospitalizationIncidenceIndividualKneeLife StyleMediatingMeta-AnalysisOperative Surgical ProceduresOutcomePainParticipantPhenotypePrevalencePublic HealthRecording of previous eventsRecoveryRehabilitation therapyReplacement ArthroplastyResourcesSecond Look SurgerySurveysTestingTraumatic ArthropathyTreatment CostVariantVeteransbiobankcohortcommon symptomcomorbiditydisabilityend stage diseaseexperiencegenetic informationgenetic predictorsgenetic variantgenome wide association studygenomic locushealth care service utilizationhealth related quality of lifehip replacement arthroplastyimproved mobilityknee replacement arthroplastymulti-ethnicpatient orientedprimary outcomeprognosticprogramsrecruitrehabilitation strategyresponsesecondary analysissecondary outcomesuccesstargeted treatment
项目摘要
The societal and patient-centered impacts of end-stage osteoarthritis (OA) among Veterans – including a
significant proportion suffering from post-traumatic arthritis – are profound: (i) VA healthcare costs for
treatment exceed $880 million annually; (ii) ~30% of Veterans in the VA healthcare system have OA, which is
a significantly higher rate than the general population; (iii) each year, 10,000 Veterans with end-stage arthritis
undergo total hip (n~3500) or knee (n~6500) arthroplasty (THA/TKA) and subsequent rehabilitation; (iv)
Veterans who undergo THA/TKA experience profound deficits in health-related quality of life (HRQL), severe
functional limitations in activities of daily living (ADL), increased healthcare utilization, and higher incidence of
comorbidities and hospitalization; and (v) incidence of moderate-severe functional limitations 2-5 years post-
surgery is 30-35% post-THA and 46-50% post-TKA despite prescribed rehabilitation. OA has a strong genetic
component with heritability estimates >30%. Pain is the most common symptom, contributing to disability and
decreased HRQL. Major phenotypic predictors of post-THA/TKA mobility limitation and pain have been
identifed. However, genetic predictors of both the progression of OA and success of THA/TKA recovery are as
yet unknown. Such discovery would fuel progress toward precision pre-habilitation and post-surgical
rehabilitation among Veterans. We seek to leverage the rich MVP resource to test the overarching
hypothesis that genetic variants explain a meaningful proportion of OA prevalence, progression to end-stage
disease leading to THA/TKA, and recovery success. This hypothesis will be tested with three specific aims.
Aim 1: To identify genetic variants associated with OA. We will perform GWAS in 292,516 MVP participants
40-80 years of age – of which 90,000 carry an OA diagnosis – in an effort to replicate known and identify new
genetic variants and regions associated with OA. As a secondary analysis, we will perform GWAS to identify
genetic variants associated with OA among 3,696 Veterans with post-traumatic arthritis. We will attempt to
replicate significant findings using data on 392,304 individuals in the UK Biobank, of which 41,217 have OA.
Aim 2: To identify genetic variants prognostic of progression to end-stage OA, as indicated by THA/TKA. We
will perform GWAS in the 90,000 MVP participants with OA to identify variants associated with reaching the
end-stage (i.e. THA/TKA). Within this cohort with diagnosed OA, we will identify genetic variants unique to the
subpopulation that progressed to end-stage – i.e. the 7,600 MVP participants who have undergone THA or
TKA subsequent to OA diagnosis. As a secondary analysis, we will perform GWAS to identify genetic variants
associated with revision surgery within 5 years of the initial THA/TKA, suggesting unique genetic variants that
may predispose some Veterans to poor adaptations to the initial THA/TKA. We will replicate significant findings
using data from 13,071 THA and 12,794 TKA in the UK Biobank. Exploratory Aim: To identify genetic variants
prognostic of THA/TKA recovery defined by mobility limitation (primary outcome), pain, and HRQL (secondary
outcomes). We will perform GWAS among the 7,600 MVP participants with past THA/TKA to identify variants
associated with recovery success or failure, as indicated by MVP Baseline and Lifestyle survey responses. As
a secondary analysis, we will investigate whether rehabilitation mediates the relationship between genetic
variants and THA/TKA recovery. We will maximize heterogeneity using two strategies: (i) By performing GWAS
in each major ethnic group independently and combining results using meta-analysis accounting for trans-
ethnic admixture; and (ii) By analyzing the entire MVP cohort to perform a multi-ethnic GWAS. The ultimate
goal is to identify genetic variants prognostic of OA as well as poor OA and THA/TKA outcomes to develop
targeted, precision pre-habilitation and post-surgical rehabilitation strategies improving mobility function,
HRQL, and healthcare utilization among Veterans.
退伍军人终末期骨关节炎 (OA) 的社会和以患者为中心的影响 – 包括
很大一部分人患有创伤后关节炎——影响深远:(i) VA 的医疗费用
每年的治疗费用超过 8.8 亿美元;(ii) 退伍军人管理局医疗系统中约有 30% 的退伍军人患有 OA,即
(iii) 每年有 10,000 名退伍军人患有终末期关节炎
接受全髋关节置换术 (n~3500) 或膝关节置换术 (n~6500) 以及随后的康复治疗 (iv)
接受 THA/TKA 的退伍军人在健康相关的生活质量 (HRQL) 方面存在严重缺陷,严重程度
日常生活活动(ADL)的功能限制、医疗保健利用率的提高以及更高的发病率
合并症和住院治疗;以及 (v) 术后 2-5 年中度至重度功能限制的发生率
尽管规定的康复治疗具有很强的遗传性,但 THA 后的手术率为 30-35%,TKA 后的手术率为 46-50%。
遗传率估计>30% 的成分疼痛是最常见的症状,导致残疾和残疾。
HRQL。THA/TKA 后活动受限和疼痛的主要表型预测因子已降低。
然而,OA 进展和 THA/TKA 恢复成功的遗传预测因素如下:
但尚不清楚,这样的发现将推动精确术前康复和术后康复的进展。
我们寻求利用丰富的 MVP 资源来测试总体情况。
假设遗传变异解释了 OA 患病率、进展至终末期的有意义比例
该假设将通过三个具体目标进行检验。
目标 1:识别与 OA 相关的基因,我们将对 292,516 名 MVP 变异参与者进行 GWAS。
40-80 岁——其中 90,000 人患有 OA 诊断——努力复制已知的并识别新的
作为二次分析,我们将进行 GWAS 来识别与 OA 相关的遗传变异和区域。
我们将尝试对 3,696 名患有创伤后关节炎的退伍军人进行与 OA 相关的遗传变异。
使用英国生物银行 392,304 人的数据复制了重要发现,其中 41,217 人患有 OA。
目标 2:确定 THA/TKA 变异所指示的进展为终末期 OA 的遗传预后。
将对 90,000 名患有 OA 的 MVP 参与者进行 GWAS,以识别与达到目标相关的变异
在诊断为 OA 的这一队列中,我们将识别出终末期(即 THA/TKA)所特有的遗传变异。
进展到末期的亚人群 – 即 7,600 名接受过 THA 或
OA 诊断后的 TKA 作为二次分析,我们将进行 GWAS 来识别遗传变异。
与初次 THA/TKA 后 5 年内的修复手术相关,表明独特的遗传变异
可能会使一些退伍军人对最初的 THA/TKA 适应不良。我们将重复重要的发现。
使用英国生物库中 13,071 个 THA 和 12,794 个 TKA 的数据 探索性目标:识别遗传变异。
THA/TKA 恢复的预后由活动受限(主要结果)、疼痛和 HRQL(次要结果)定义
我们将对过去进行过 THA/TKA 的 7,600 名 MVP 参与者进行 GWAS,以识别变异。
与恢复成功或失败相关,如 MVP 基线和生活方式调查响应所示。
二次分析,我们将调查康复是否介导遗传之间的关系
我们将使用两种策略最大化异质性:(i) 通过执行 GWAS。
独立地在每个主要种族群体中进行研究,并使用荟萃分析将结果结合起来
种族混合;以及 (ii) 通过分析整个 MVP 队列来执行多种族 GWAS。
目标是确定 OA 预后的遗传变异以及不良 OA 和 THA/TKA 结局以制定
有针对性、精确的术前康复和术后康复策略可改善行动功能,
HRQL 和退伍军人的医疗保健利用率。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Jasvinder A Singh其他文献
Jasvinder A Singh的其他文献
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{{ truncateString('Jasvinder A Singh', 18)}}的其他基金
Genetics of Osteoarthritis and Joint Replacement Recovery: Key to Precision Rehabilitation
骨关节炎的遗传学和关节置换恢复:精准康复的关键
- 批准号:
10643606 - 财政年份:2023
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Genetics of Osteoarthritis and Joint Replacement Recovery: Key to Precision Rehabilitation
骨关节炎的遗传学和关节置换恢复:精准康复的关键
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10174848 - 财政年份:2018
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