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A biallelic multiple nucleotide length polymorphism explains functional causality at 5p15.33 prostate cancer risk
Sandor Spisak1,2, Viktoria Tisza1,3,4, Pier Vitale Nuzzo1,2,5
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Multiple nucleotide length polymorphisms (MNLPs), not just single-nucleotide polymorphisms (SNPs), can increase prostate cancer risk by altering gene expression. These non-SNP variants are crucial for understanding complex disease genetics.
Area of Science:
- Genetics
- Genomics
- Cancer Research
Background:
- Genome-wide association studies (GWAS) primarily focus on single-nucleotide polymorphisms (SNPs).
- Other genetic variations, like multiple nucleotide length polymorphisms (MNLPs), may also contribute to disease risk.
- The 5p15.33 region is a known prostate cancer risk locus and a strong expression quantitative trait locus (eQTL) for IRX4.
Purpose of the Study:
- To identify the causal variant regulating IRX4 transcript levels in the 5p15.33 prostate cancer risk region.
- To investigate the functional impact of a specific MNLP on gene expression and chromatin state.
- To assess the broader role of non-SNP variants in prostate cancer susceptibility.
Main Methods:
- Epigenome analysis and genome editing techniques were employed.
- Experiments were conducted in LNCaP prostate cancer cells.
- Chromatin state, androgen receptor binding, and IRX4 expression levels were measured.
Main Results:
- A biallelic MNLP (21 bp vs. 47 bp) was identified as the causal variant.
- Knock-in of the 47 bp allele in LNCaP cells altered chromatin, increased androgen receptor binding, and upregulated IRX4 expression by approximately 3-fold.
- MNLPs were implicated as strong candidate variants at additional prostate cancer risk loci.
Conclusions:
- Functional non-SNP variants, such as MNLPs, may explain a significant portion of genetic risk loci for prostate cancer.
- These findings highlight the importance of investigating diverse classes of inherited variation beyond SNPs in GWAS.
- The study has broader implications for understanding the genetic basis of other complex diseases and cancers.
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