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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
Population-scale repeat expansions elucidate disease risk and brain atrophy
Vijay Kumar Pounraja1, Jae Hoon Sul1, Joseph Herman1
1Regeneron Genetics Center, Tarrytown, NY, USA.
Pathogenic repeat expansions, which cause neurological diseases, are more common than previously thought. This study reveals early biomarkers like brain volume loss and NfL levels, even before diagnosis.
Area of Science:
- Genetics
- Neurology
- Genomic Medicine
Background:
- Short tandem repeat (STR) expansions are linked to over 70 neurological disorders.
- Population-level data on pathogenic STR repeat expansions is limited.
Purpose of the Study:
- To conduct a population-scale survey of pathogenic STR repeat expansions.
- To investigate early molecular and imaging biomarkers associated with repeat expansions.
Main Methods:
- Analyzed repeat length in 37 disease-associated STR loci across 1,020,833 samples.
- Utilized short-read sequencing data (whole-exome and whole-genome).
- Correlated repeat length with 7,671 binary traits and neuroimaging data.
Main Results:
- Found pathogenic repeat frequencies higher than disease prevalence for most loci.
- Confirmed known associations (e.g., HTT-Huntington's, DMPK-myotonic disorders).
- Identified associations between repeat expansions and increased neurofilament light chain (NfL) levels and reduced brain volumes (e.g., HTT, CACNA1A) preceding diagnosis.
Conclusions:
- Short-read sequencing effectively characterizes repeat expansions in large cohorts.
- Repeat expansions are linked to neurodegeneration markers (NfL, brain volume loss) earlier than clinical diagnosis.
- This approach has potential for epidemiological studies and clinical biomarker development.
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