Next-Generation Sequencing and Its Impact on Association Studies
Author Information
Author(s): Siu Hoicheong, Zhu Yun, Jin Li, Xiong Momiao
Primary Institution: Fudan University
Hypothesis
How can next-generation sequencing improve the detection of low frequency and rare genetic variants in association studies?
Conclusion
GWAS based on SNP arrays are not suitable for studying low frequency genetic variations.
Supporting Evidence
- Next-generation sequencing can detect a wide range of genetic variations.
- Current GWAS methods are primarily designed for common variants and may not effectively identify low frequency variants.
- The study found that a significant proportion of low frequency SNPs remain untaggable even after imputation.
Takeaway
This study shows that using new DNA sequencing technology can help find rare genetic changes that might cause diseases, but current methods may miss many of them.
Methodology
The study analyzed linkage disequilibrium patterns and evaluated the power of different SNP tagging designs using data from the 1000 Genomes Project.
Limitations
The study primarily focuses on the limitations of current SNP arrays in capturing low frequency variants.
Participant Demographics
The study included individuals from four populations in the low coverage pilot and seven populations in the exon pilot.
Digital Object Identifier (DOI)
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