Dataset Information

PREDICT-HD Huntington Disease Study

ABSTRACT:

The purpose of this project is to make clinical measurements from the PREDICT-HD consortium available through the dbGaP mechanism. The phenotype data will first be converted into a community open standard and subsequently exported to dbGaP for archival and open access distribution of the results of the studies. This will permit members of the scientific community to utilize a permanent resource for investigating the interactions of phenotypes upon an international cohort of early Huntington Disease.

We plan to incorporate both imaging and genotype data with a future data cut.

PROVIDER: phs000222.v1.p1 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Publications

Obsessive and compulsive symptoms in prediagnosed Huntington's disease.

Beglinger Leigh J LJ Paulsen Jane S JS Watson David B DB Wang Chiachi C Duff Kevin K Langbehn Douglas R DR Moser David J DJ Paulson Henry L HL Aylward Elizabeth H EH Carlozzi Noelle E NE Queller Sarah S Stout Julie C JC

The Journal of clinical psychiatry 20080909 11

<h4>Objective</h4>Obsessive and compulsive symptoms (OCS) are more prevalent in patients with diagnosed Huntington's disease (HD) than in the general population. Although psychiatric symptoms have been reported in individuals with the HD gene expansion prior to clinical diagnosis (pre-HD), little is known about OCS in this phase of disease.<h4>Method</h4>The goal of this study was to assess OCS in 300 pre-HD individuals and 108 non-gene-expanded controls from the Neurobiological Predictors of Hu ...[more]

PMID: 19012814

Publication: 1/38

Similar Datasets

Project description:The purpose of this project is to make clinical measurements from the PREDICT-HD consortium available through the dbGaP mechanism. The phenotype data will first be converted into a community open standard and subsequently exported to dbGaP for archival and open access distribution of the results of the studies. This will permit members of the scientific community to utilize a permanent resource for investigating the interactions of phenotypes upon an international cohort of early Huntington Disease. In version 2 cut of the data we provided HD CAG repeat lengths for both alleles as well as enrollment age of all participants. We have also generated unique identifiers prospectively compatible with the larger initiative GWAS in Huntington's Disease project (also on DbGaP). As such, the version 1 cut of the data was mainly proof of concept and should be deprecated. Going forward, all updates will add-on to version 2 cut of the data. In version 3 cut of the data, we provided baseline or the first usable MRI T1-weighted imaging analysis subcortical and cortical segmentations and cortical parcellations based on a customized Freesurfer 5.2 pipeline developed at The University of Iowa. The customizations to the standard pipeline were mainly to improve bias field correction and image normalization such that segmentation of gray, white, internal csf, dura and surface CSF are optimized for the Freesurfer pipeline. There are 1111 subjects with results in this data release. In version 4 cut of the data, we provided all longitudinal clinical measurements for all subjects (total of 1476) assessmented or enrolled through the end of 2013. Additionally, we are providing measurements on 39 baseline FDG PET images spatially normalized by SPM5 into MNI space, relative regional metabolic values computed in 120 volumes of interest (VOI) defined in the Automated Anatomical Labeling (AAL) Atlas (<a href="http://www.ncbi.nlm.nih.gov/pubmed/11771995">Tzourio-Mazoyer et al. 2002</a>), and global metabolic values calculated by SPM standard mean voxel value (within per image fullmean/8 mask). This project is a funded ancillary study of <a href="https://www.predict-hd.net/">PREDICT-HD</a>. In this version 5 cut of the data, we are providing the first of many forthcoming results from ancilliary studies of PREDICT-HD. In this data cut, we provide individual subject results derived from structural MRI data. The earliest MRI session for each subject was used. The results summarized represent source based morphometry loading coefficients for 23 components (see: "Patterns of Co-Occurring Gray Matter Concentration Loss across the Huntington Disease Prodrome", Ciarochi et al., 2016, <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=27708610">Front Neurol. 2016</a>; 7: 147, Published online 2016 Sep 21. doi: 10.3389/fneur.2016.00147]. For sample information please link to: <a href="http://ccr.coriell.org/Sections/Collections/NINDS/PredictHD.aspx?PgId=746&coll=ND">PREDICT-HD Biospecimen Resources</a>

Dataset Information

PREDICT-HD Huntington Disease Study

Publications

Obsessive and compulsive symptoms in prediagnosed Huntington's disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets