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The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers
Christopher I Amos1, Joe Dennis2, Zhaoming Wang3
1Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire. Christopher.I.Amos@dartmouth.edu.
The OncoArray, a genotyping tool, was developed to identify genetic factors in common cancers. This large-scale study genotyped nearly 450,000 samples to advance cancer susceptibility research.
Area of Science:
- Genetics
- Cancer Research
- Genomics
Background:
- Common cancers often involve inherited susceptibility and multistep development.
- The OncoArray, an inexpensive genotyping microarray, was created through multi-institutional collaboration.
- It features a genome-wide backbone of 230,000 SNPs, plus dense mapping of susceptibility regions and rare variants.
Purpose of the Study:
- To develop and implement a large-scale genotyping array for common cancer susceptibility.
- To facilitate the identification of novel genetic loci associated with various cancers.
- To enable joint modeling of genetic, environmental, and lifestyle factors in cancer etiology.
Main Methods:
- Utilized a novel genotyping technology for efficient data generation.
- Established standardized protocols for SNP selection, quality control, and ancestry analysis.
- Genotyped nearly 450,000 samples across multiple sites with rigorous quality control.
Main Results:
- Successfully genotyped 447,705 samples with a 97% success rate.
- 494,763 SNPs passed stringent quality control measures.
- Standardized ancestry analysis was performed across participating sites.
Conclusions:
- The OncoArray provides a powerful resource for identifying new cancer susceptibility loci.
- Enables fine-mapping of known and novel cancer-associated regions.
- Facilitates comprehensive analysis of cancer causation, pleiotropy, and risk factor interactions.
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