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

Moss, Davina J Hensman; Pardiñas, Antonio F; Langbehn, Douglas; Lo, Kitty; Leavitt, Blair R; Roos, Raymund; Durr, Alexandra; Mead, Simon; Holmans, Peter; Jones, Lesley; Tabrizi, Sarah J (2017). Identification of genetic variants associated with Huntington's disease progression: a genome-wide association study. The Lancet. Neurology, 16(9), pp. 701-711. The Lancet Publishing Group 10.1016/S1474-4422(17)30161-8

[img] Text
Moss_2017_Lancet.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (2MB)

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(-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 × 10(-8)DHFR p=8·37 × 10(-7) MTRNR2L2 p=2·15 × 10(-9)) and to a lesser extent in REGISTRY (MSH3 p=9·36 × 10(-4)DHFR p=8·45 × 10(-4)MTRNR2L2 p=1·20 × 10(-3)). The lead single nucleotide polymorphism (SNP) in TRACK-HD (rs557874766) was genome-wide significant in the meta-analysis (p=1·58 × 10(-8)), 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.

Item Type:

Journal Article (Original Article)

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1474-4465

Publisher:

The Lancet Publishing Group

Language:

English

Submitter:

Katharina Klink

Date Deposited:

06 Dec 2017 16:10

Last Modified:

23 Oct 2019 14:57

Publisher DOI:

10.1016/S1474-4422(17)30161-8

PubMed ID:

28642124

Additional Information:

Contribution to publication as collaborator

BORIS DOI:

10.7892/boris.106875

URI:

https://boris.unibe.ch/id/eprint/106875

Actions (login required)

Edit item Edit item
Provide Feedback