ID

45170

Beschreibung

Principal Investigator: James F. Gusella, PhD, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA MeSH: Huntington Disease https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000371 Huntington's disease (HD) is a neurodegenerative disorder typically diagnosed in mid-life that is caused by expansion of an otherwise polymorphic CAG trinucleotide repeat. The mutation causes a gain-of-function of the huntingtin protein to trigger a pathogenic process that produces detectable phenotypic differences many years before the traditional diagnosis, which is based upon characteristic motor symptoms. The prediagnosis phase of pathogenesis is now the subject of intense scrutiny by an NINDS-funded longitudinal study, PREDICT-HD, in which undiagnosed gene carriers are followed longitudinally and subjected to detailed phenotyping (PREDICT-HD Huntington Disease Study -- dbGaP Study Accession: phs000222). This powerful approach, which offers the potential for moving the focus of therapeutic development to the decades prior to neurological disease diagnosis, is enabled by the fact that all individuals with HD have the same type of mutation, which can be determined at any time in life by a single HD CAG repeat PCR amplification assay. The precise length of the HD CAG repeat differs between individuals. There is a strong negative correlation between the number of CAG repeats and the age at onset of diagnostic neurological abnormalities in HD, such that the CAG repeat accounts for ~50% of the variation in age at diagnosis. Analysis of the remaining variance not explained by the length of the CAG repeat has shown that it is highly heritable, being due to genetic variation, elsewhere in the genome. The intent of the Genetic Modifiers of Huntington's Disease study is to identify genetic modifiers of HD pathogenesis by using genomewide association techniques in diagnosed HD individuals to identify genetic factors associated with the residual variance in age at onset not explained by the CAG repeat, and to extend these analyses to pre-diagnosis phenotypes, for example, those defined in the PREDICT-HD study. Identification of modifier genes is a top priority for HD research (and an example of an approach that can be applied in other late-onset genetic disorders), as it could provide clues to developing rational treatments that delay or prevent the pathogenic process from causing the ravages of the disease that ensue in the ~15 years of inexorable decline to ultimate death that now follows clinical diagnosis. To further that goal, the release of *study version 2* makes available whole exome sequencing data of n=221 study participants.

Link

dbGaP study = phs000371

Stichworte

  1. 22.08.22 22.08.22 - Simon Heim
  2. 12.10.22 12.10.22 - Adrian Schulz
Rechteinhaber

James F. Gusella, PhD, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA

Hochgeladen am

12. Oktober 2022

DOI

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Lizenz

Creative Commons BY 4.0

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dbGaP phs000371 Genetic Modifiers of Huntington's Disease

Eligibility Criteria

Inclusion and exclusion criteria
Beschreibung

Inclusion and exclusion criteria

The study population includes individuals diagnosed with HD and participants in the PREDICT-HD Huntington Disease Study (dbGaP Study Accession: phs000222).
Beschreibung

The study population includes individuals diagnosed with HD and participants in the PREDICT-HD Huntington Disease Study.

Datentyp

boolean

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0020179
UMLS CUI [1,3]
C2603343

Ähnliche Modelle

Eligibility Criteria

Name
Typ
Description | Question | Decode (Coded Value)
Datentyp
Alias
Item Group
Inclusion and exclusion criteria
The study population includes individuals diagnosed with HD and participants in the PREDICT-HD Huntington Disease Study.
Item
The study population includes individuals diagnosed with HD and participants in the PREDICT-HD Huntington Disease Study (dbGaP Study Accession: phs000222).
boolean
C1512693 (UMLS CUI [1,1])
C0020179 (UMLS CUI [1,2])
C2603343 (UMLS CUI [1,3])

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