Lessons from postgenome-wide association studies: functional analysis of cancer predisposition loci
1Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Journal of Internal Medicine
|October 17, 2013
Summary
Genome-wide association studies (GWASs) reveal cancer predisposition loci, often in non-coding DNA. Functional analysis is key to understanding how these genetic variations, particularly single-nucleotide polymorphisms (SNPs), influence cancer risk and transcriptional regulation.
Area of Science:
- Genetics
- Cancer Biology
- Genomics
Background:
- Genome-wide association studies (GWASs) have identified numerous genetic loci associated with human cancer predisposition.
- Significant progress has been made in elucidating the functional mechanisms linking single-nucleotide polymorphisms (SNPs) to cancer risk.
- The role of GWASs and subsequent functional analyses in understanding cancer aetiology is increasingly recognized.
Purpose of the Study:
- To review strategies for functionally dissecting cancer predisposition loci identified by GWASs.
- To discuss the limitations and challenges associated with post-GWAS functional analyses.
- To highlight the importance of transcriptional regulation in common cancer risk variants.
Main Methods:
- Review of existing literature on GWASs and functional genomics in cancer research.
- Analysis of common variant localization in nonprotein-coding regions.
- Discussion of methodologies for dissecting the functional impact of SNPs on gene regulation.
Main Results:
- Most common cancer risk variants are found in nonprotein-coding regions.
- Transcriptional regulation emerges as a central mechanism in cancer predisposition.
- Functional dissection of loci is crucial for understanding SNP effects on cancer risk.
Conclusions:
- Functional analysis of GWAS-identified loci is essential for understanding cancer aetiology.
- Strategies for dissecting predisposition loci need refinement to overcome current limitations.
- Future research should focus on the role of transcriptional dysregulation in common cancer predispositions.
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