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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
Multiplexed resequencing analysis to identify rare variants in pooled DNA with barcode indexing using next-generation
Jun Mitsui1, Yoko Fukuda, Kyo Azuma
1Department of Neurology, University of Tokyo, Graduate School of Medicine, Tokyo, Japan.
Journal of Human Genetics
|May 21, 2010
Summary
Rare glucocerebrosidase gene (GBA) variants increase Parkinson disease risk. Multiplexed sequencing efficiently identifies these GBA variants in large sample sets, supporting the common disease-multiple rare variants hypothesis.
Area of Science:
- Genetics
- Neurodegenerative Diseases
- Genomic Medicine
Background:
- Multiple rare variants in the glucocerebrosidase gene (GBA) are associated with increased Parkinson disease risk.
- This finding supports the 'common disease-multiple rare variants' hypothesis in complex genetic disorders.
Purpose of the Study:
- To develop an efficient method for identifying rare GBA variants in a large number of samples.
- To apply multiplexed resequencing technology for rare variant discovery.
Main Methods:
- Utilized multiplexed resequencing on a next-generation sequencer (SOLiD System).
- Prepared 16 sets of pooled DNA samples (6 pooled DNA samples per set).
- Employed polymerase chain reaction to amplify the GBA gene (6.5 kb), followed by pooled sequencing with barcode indexing and individual sample analysis.
Main Results:
- Successfully identified rare variants across 96 samples using optimized data processing.
- Achieved acceptable rates of false-positive single-nucleotide variants.
- Demonstrated the feasibility of large-scale rare variant detection in the GBA gene.
Conclusions:
- Multiplexed resequencing is an effective strategy for identifying rare GBA variants.
- This method facilitates the study of the 'common disease-multiple rare variants' hypothesis in Parkinson disease.
- The approach enables efficient genetic analysis in large cohorts for neurodegenerative disease research.
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