The goals of this study are: (1) to better understand the relationship between the phenotype and genotype of amyotrophic lateral sclerosis (ALS) and related diseases, including primary lateral sclerosis (PLS), hereditary spastic paraplegia (HSP), progressive muscular atrophy (PMA), and frontotemporal dementia (FTD); and (2) to develop biomarkers that might be useful in aiding therapy development for this group of disorders.
This study will recruit patients with ALS, ALS-FTD, PLS, HSP, and PMA, with a focus on incident cases. Patients with both familial and sporadic forms of these diseases will be enrolled and followed longitudinally using a standardized set of evaluations. Biological samples (blood, urine, CSF) will be collected from all study participants, and will be used for biomarker discovery and validation. Family members of affected individuals may also be enrolled and asked to contribute DNA and biological samples to aid genetic and biomarker discovery.
Study Type
OBSERVATIONAL
Enrollment
700
Stanford University
Palo Alto, California, United States
University of California San Diego (UCSD)
San Diego, California, United States
California Pacific Medical Center (CPMC)
San Francisco, California, United States
University of Miami
Miami, Florida, United States
University of Iowa
Iowa City, Iowa, United States
Kansas University Medical Center (KUMC)
Kansas City, Kansas, United States
Twin Cities ALS Research Consortium
Minneapolis, Minnesota, United States
Wake Forest University
Winston-Salem, North Carolina, United States
Cleveland Clinic
Cleveland, Ohio, United States
University of Pennsylvania
Philadelphia, Pennsylvania, United States
...and 5 more locations
Phenotypic correlates of genotype
Using longitudinally collected deep phenotypic data, this project aims to define the natural history (i.e. temporal rate of disease progression) of the motor and frontotemporal system (behavior, cognition and language) phenotypes of ALS and related disorders in patients with identifiable genetic mutations.
Time frame: 24 months
Genetic determinants of phenotype
By combining longitudinally collected deep phenotypic data with deep genetic data (e.g. whole exome or whole genome sequencing), this project aims to define genetic variants that are associated with identifiable phenotypic features in patients with ALS and related disorders.
Time frame: 24 months
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