Project description:A core task to understand the consequences of non-coding single nucleotide polymorphisms (SNP) is to identify their genotype specific binding of transcription factor (TF). Here, we generate a large-scale TF-SNP interaction map for a selection of 116 colorectal cancer (CRC) risk loci and validated TF binding to 10 putatively functional SNPs. Our data further revealed TF binding complexity adjacent to the 116 risk loci, adding an additional layer of understanding to regulatory networks associated with CRC relevant loci.
Project description:<p>We profiled the methylation landscape of ~2100 DNA samples (~1100 cases of colorectal cancer and ~1000 controls) from the Ontario Familial Colon Cancer Registry (OFCCR) using the HumanMethylation450 array from Illumina. DNA was extracted from lymphocyte pellets, except for 99 samples for which DNA was extracted from lymphoblastoid cell lines. Samples were genotyped on the Affymetrix Human Mapping 100k and 500k arrays. The aim the study was to evaluate the interplay between genetic variation and methylation, including long-range epigenetic regulation.</p>
Project description:Single nucleotide polymorphisms (SNP) can affect mRNA gene expression, in a tissue-specific manner. In this work we survey association of SNP alleles with mRNA gene expression in human dorsal root ganglions (DRG) to gain insights into pathophysiology of pain phenotypes.
Project description:Single nucleotide polymorphisms (SNP) can affect mRNA gene expression, in a tissue-specific manner. In this work we survey association of SNP alleles with mRNA gene expression in human dorsal root ganglions (DRG) to gain insights into pathophysiology of pain phenotypes.
Project description:Younger age and VTE recurrence are more likely to be caused by genetic risk factors than secondary VTE in older patients who more likely have comorbidities. When the exome rare variant genotyping database of the Scripps VTE Registry for adults < 55 yrs old was generated and analyzed for single nucleotide polymorphisms (SNPs). Two F5 related SNPs (rs6025, factor V Leiden and rs6687813) exceeded significance (FDR (false discovery rate) p < 0.05). No other variants met genome-wide significance. When the data for the subgroup of cases with recurrent VTE that are more likely to have genetic risk factors than cases with a single VTE episode were compared to controls (N=211 controls and N=32 recurrent VTE cases), 28 SNPs, including the F5 rs6025 SNP, achieved significance (FDR p < 0.05).
Project description:A core task to understand the consequences of non-coding single nucleotide polymorphisms (SNP) is to identify their genotype specific binding of transcription factor (TF). Here, we generate a large-scale TF-SNP interaction map for a selection of 116 colorectal cancer (CRC) risk loci and validated TF binding to 10 putatively functional SNPs. Our data further revealed TF binding complexity adjacent to the 116 risk loci, adding an additional layer of understanding to regulatory networks associated with CRC relevant loci.
Project description:In this study, we investigated the interaction between CpG methylation and genetic polymorphisms by taking the advantage of the family structure in 22 nuclear pedigrees. We have identified CpG sites that exhibit heritable methylation patterns, among which the majority are SNPs ditrectly disrupting CpG dinucleotides. We also identified 27.2% of the heritable non-SNP CpGs were associated with cis-regulatory SNPs. Additionally, we have identified hundreds of CpG clusters whose the degree of DNA methylation variation is associated with genetic polymorphism.
