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鉴定与亨廷顿病进展相关的遗传变异:全基因组关联研究。

Identification of genetic variants associated with Huntington's disease progression: a genome-wide association study.

机构信息

UCL Huntington's Disease Centre, University College London, London, UK.

MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.

出版信息

Lancet Neurol. 2017 Sep;16(9):701-711. doi: 10.1016/S1474-4422(17)30161-8. Epub 2017 Jun 20.

DOI:10.1016/S1474-4422(17)30161-8
PMID:28642124
Abstract

BACKGROUND

Huntington's disease is caused by a CAG repeat expansion in the huntingtin gene, HTT. Age at onset has been used as a quantitative phenotype in genetic analysis looking for Huntington's disease modifiers, but is hard to define and not always available. Therefore, we aimed to generate a novel measure of disease progression and to identify genetic markers associated with this progression measure.

METHODS

We generated a progression score on the basis of principal component analysis of prospectively acquired longitudinal changes in motor, cognitive, and imaging measures in the 218 indivduals in the TRACK-HD cohort of Huntington's disease gene mutation carriers (data collected 2008-11). We generated a parallel progression score using data from 1773 previously genotyped participants from the European Huntington's Disease Network REGISTRY study of Huntington's disease mutation carriers (data collected 2003-13). We did a genome-wide association analyses in terms of progression for 216 TRACK-HD participants and 1773 REGISTRY participants, then a meta-analysis of these results was undertaken.

FINDINGS

Longitudinal motor, cognitive, and imaging scores were correlated with each other in TRACK-HD participants, justifying use of a single, cross-domain measure of disease progression in both studies. The TRACK-HD and REGISTRY progression measures were correlated with each other (r=0·674), and with age at onset (TRACK-HD, r=0·315; REGISTRY, r=0·234). The meta-analysis of progression in TRACK-HD and REGISTRY gave a genome-wide significant signal (p=1·12 × 10) on chromosome 5 spanning three genes: MSH3, DHFR, and MTRNR2L2. The genes in this locus were associated with progression in TRACK-HD (MSH3 p=2·94 × 10DHFR p=8·37 × 10 MTRNR2L2 p=2·15 × 10) and to a lesser extent in REGISTRY (MSH3 p=9·36 × 10DHFR p=8·45 × 10MTRNR2L2 p=1·20 × 10). The lead single nucleotide polymorphism (SNP) in TRACK-HD (rs557874766) was genome-wide significant in the meta-analysis (p=1·58 × 10), and encodes an aminoacid change (Pro67Ala) in MSH3. In TRACK-HD, each copy of the minor allele at this SNP was associated with a 0·4 units per year (95% CI 0·16-0·66) reduction in the rate of change of the Unified Huntington's Disease Rating Scale (UHDRS) Total Motor Score, and a reduction of 0·12 units per year (95% CI 0·06-0·18) in the rate of change of UHDRS Total Functional Capacity score. These associations remained significant after adjusting for age of onset.

INTERPRETATION

The multidomain progression measure in TRACK-HD was associated with a functional variant that was genome-wide significant in our meta-analysis. The association in only 216 participants implies that the progression measure is a sensitive reflection of disease burden, that the effect size at this locus is large, or both. Knockout of Msh3 reduces somatic expansion in Huntington's disease mouse models, suggesting this mechanism as an area for future therapeutic investigation.

FUNDING

The European Commission FP7 NeurOmics project; CHDI Foundation; the Medical Research Council UK; the Brain Research Trust; and the Guarantors of Brain.

摘要

背景

亨廷顿病是由亨廷顿基因(HTT)中的 CAG 重复扩展引起的。发病年龄已被用作遗传分析中寻找亨廷顿病修饰因子的定量表型,但难以定义且并非总是可用。因此,我们旨在生成一种新的疾病进展测量方法,并确定与该进展测量相关的遗传标志物。

方法

我们根据 218 名亨廷顿病基因突变携带者的前瞻性纵向运动、认知和影像学测量变化,利用主成分分析生成了一个进展评分(数据收集于 2008-11 年)。我们使用欧洲亨廷顿病网络 REGISTRY 研究中 1773 名之前经过基因分型的亨廷顿病基因突变携带者的数据(数据收集于 2003-13 年)生成了一个平行的进展评分。我们对 216 名 TRACK-HD 参与者和 1773 名 REGISTRY 参与者进行了基于进展的全基因组关联分析,然后对这些结果进行了荟萃分析。

结果

TRACK-HD 参与者的纵向运动、认知和影像学评分彼此相关,证明在这两项研究中都可以使用单一的跨域疾病进展测量方法。TRACK-HD 和 REGISTRY 的进展测量值相互相关(r=0·674),并且与发病年龄相关(TRACK-HD,r=0·315;REGISTRY,r=0·234)。TRACK-HD 和 REGISTRY 进展荟萃分析给出了全基因组显著信号(p=1·12 × 10),跨越三个基因:MSH3、DHFR 和 MTRNR2L2。该基因座中的基因与 TRACK-HD 的进展相关(MSH3 p=2·94 × 10 DHFR p=8·37 × 10 MTRNR2L2 p=2·15 × 10),在 REGISTRY 中的相关性较弱(MSH3 p=9·36 × 10 DHFR p=8·45 × 10 MTRNR2L2 p=1·20 × 10)。TRACK-HD 中的主要单核苷酸多态性(SNP)(rs557874766)在荟萃分析中具有全基因组显著意义(p=1·58 × 10),并编码一个氨基酸变化(Pro67Ala)在 MSH3 中。在 TRACK-HD 中,该 SNP 的每个次要等位基因拷贝与统一亨廷顿病评定量表(UHDRS)总运动评分变化率降低 0·4 单位/年(95%CI 0·16-0·66)相关,与 UHDRS 总功能容量评分变化率降低 0·12 单位/年(95%CI 0·06-0·18)相关。这些关联在调整发病年龄后仍然显著。

解释

TRACK-HD 的多域进展测量值与我们荟萃分析中具有全基因组意义的功能变异相关。在仅 216 名参与者中的关联表明该进展测量值是疾病负担的敏感反映,该基因座的效应大小较大,或者两者兼而有之。Msh3 的敲除减少了亨廷顿病小鼠模型中的体细胞扩张,这表明该机制是未来治疗研究的一个领域。

资金

欧盟第七框架计划神经科学研究项目(NeurOmics project);CHDI 基金会;英国医学研究理事会;大脑研究信托基金;以及大脑担保人。

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