Cancer Risk Estimates Related to Susceptibility Genes (CARRIERS)
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PROVIDER: PRJNA808150 | ENA |
REPOSITORIES: ENA
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Project description:Cancer Risk Estimates Related to Susceptibility Genes (CARRIERS)
| PRJNA808151 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE32124: Effects of BRCA2 cis-regulation in normal breast and cancer risk amongst BRCA2 mutation carriers [expression data] GSE32258: Effects of BRCA2 cis-regulation in normal breast and cancer risk amongst BRCA2 mutation carriers [SNP data] Refer to individual Series
2012-02-01 | E-GEOD-32259 | biostudies-arrayexpress
Project description:Female BRCA1 mutation carriers have a nearly 80% probability of developing breast cancer during their life-time. We hypothesized that the breast epithelium at risk in BRCA1 mutation carriers harbors mammary epithelial cells (MECs) with altered proliferation and differentiation properties. Microarray studies revealed that PMEC colonies from BRCA1 mutation carriers anticipate expression profiles found in BRCA1-related tumors, and that the EGFR pathway is upregulated in BRCA1 mutation carriers compared ton non BRCA1 mutation carriers. Keywords: Class comparison and pathway analysis
2008-11-20 | GSE13671 | GEO
Project description:Female BRCA1 mutation carriers have a nearly 80% probability of developing breast cancer during their life-time. We hypothesized that the breast epithelium at risk in BRCA1 mutation carriers harbors mammary epithelial cells (MECs) with altered proliferation and differentiation properties. Microarray studies revealed that PMEC colonies from BRCA1 mutation carriers anticipate expression profiles found in BRCA1-related tumors, and that the EGFR pathway is upregulated in BRCA1 mutation carriers compared ton non BRCA1 mutation carriers. Keywords: Class comparison and pathway analysis 10 colonies were collected and RNA was isolated using the Absolutely RNA Nanoprep kit, Stratagene. The arrays included duplicates from four normal controls and from two BRCA1 mutation carriers and single arrays from another two BRCA1 mutation carriers.
2008-11-19 | E-GEOD-13671 | biostudies-arrayexpress
Project description:The presence of the PTPN22 risk variant (1858T) is associated to several autoimmune diseases including rheumatoid arthritis (RA). Despite a number of studies exploring the function of PTPN22 in T cells, the exact impact of the PTPN22 risk variant on T cell function in humans is still unclear. In this study, using RNA sequencing, we show that, upon TCR-activation, naïve CD4+ T cells carrying two PTPN22 risk alleles overexpress a limited number of genes including CFLAR and 4-1BB important for cytotoxic T cell differentiation. Moreover, an increased number of cytotoxic EOMES+ CD4+ T cells were observed in PTPN22 risk allele carriers, which negatively correlated with a decreased number of naïve T cells in older individuals. No difference in the frequency of other CD4+ T cell subsets (Th1, Th17, Tfh, Treg) was observed in PTPN22 risk allele carriers and Treg suppressive capacity was not altered. Finally, in synovial fluids of RA patients, an accumulation of EOMES+ CD4+ T cells was observed with a more pronounced production of Perforin-1 in PTPN22 risk allele carriers. Altogether, our data provide a novel mechanism of action of PTPN22 risk variant on CD4+ T-cell differentiation and identify EOMES+ CD4+ T cell as a relevant T cell subset in RA.
2018-02-27 | GSE94859 | GEO
Project description:Various studies have established the role of genetics in the development of type 2 diabetes mellitus (T2DM) across population groups with a reported heritability of 30–70%. These studies highlight the effect of interethnic variability in genetic susceptibility and risk for complications of T2DM. The underrepresentation of Filipinos in current global databases have prompted the goal to identify variants associated with the risk of T2DM among the population. Since the validation of variants associated with one population seems suboptimal if applied to another population, designing a specific set of genetic variants for a particular population poses a challenge. Microarray techniques were used on extracted DNA from whole blood samples using customized microarray beadchips with selected variants from various genome repositories. Customization included candidates from both coding and non-coding regions (e.g. intergenic and intronic SNPs) with statistical evidence of associated to T2DM, its complications, treatment, diagnosis and other related conditions. Incorporation of clinical data from participants can then narrow the significant variants to the population and identify which can be valuable for developing genetic risk prediction models relevant to preventing and diagnosing the disease among Filipinos.
2026-09-01 | E-MTAB-17412 | biostudies-arrayexpress
Project description:Various studies have established the role of genetics in the development of type 2 diabetes mellitus (T2DM) across population groups with a reported heritability of 30–70%. These studies highlight the effect of interethnic variability in genetic susceptibility and risk for complications of T2DM. The underrepresentation of Filipinos in current global databases have prompted the goal to identify variants associated with the risk of T2DM among the population. Since the validation of variants associated with one population seems suboptimal if applied to another population, designing a specific set of genetic variants for a particular population poses a challenge. Microarray techniques were used on extracted DNA from whole blood samples using customized microarray beadchips with selected variants from various genome repositories. Customization included candidates from both coding and non-coding regions (e.g. intergenic and intronic SNPs) with statistical evidence of associated to T2DM, its complications, treatment, diagnosis and other related conditions. Incorporation of clinical data from participants can then narrow the significant variants to the population and identify which can be valuable for developing genetic risk prediction models relevant to preventing and diagnosing the disease among Filipinos.
2026-09-01 | E-MTAB-17413 | biostudies-arrayexpress
Project description:Understanding the regulatory landscape of the human genome is a central question in complex trait genetics. Most single nucleotide polymorphisms (SNPs) associated with cancer risk lie in non protein-coding regions, implicating regulatory DNA elements as functional targets of susceptibility variants. Here, we describe genome-wide annotation of regions of open chromatin and histone modification in fallopian tube and ovarian surface epithelial cells (FTSECs, OSECs), the debated cellular origins of high-grade serous ovarian cancers (HGSOCs), and in endometriosis epithelial cells (EECs), the likely precursor of clear cell ovarian carcinomas (CCOCs). The regulatory architecture of these cell types was compared to normal human mammary epithelial cells (HMECs) and LNCaP prostate cancer cells. We observed similar positional patterns of global enhancer signatures across the three different ovarian cancer precursor cell types, and evidence of tissues specific regulatory signatures to non-gynecological cell types. We found significant enrichment for risk-associated SNPs intersecting regulatory biofeatures at 17 known HGSOC susceptibility loci in FTSECs (P=3.8x10-30) OSECs (P=2.4x10-23) and HMECs (P=6.7x10-15) but not for EECs (P=0.45) or LNCaP cells (P=0.88). Hierarchical clustering of risk SNPs conditioned on the six different cell types indicates FTSECs and OSECs are highly related (96% of samples using multi-scale bootstrapping) indicating both cell types may be precursors of HGSOC. These data represent the first description of regulatory catalogues of normal precursor cells for different ovarian cancer subtypes, and provide unique insights into the tissue specific regulatory variation with respect to the likely functional targets germline genetic susceptibility variants for ovarian cancer FAIRE-Seq and ChIP-Seq of 2 different histone modifications in 5 cell types.
2015-04-22 | E-GEOD-68104 | biostudies-arrayexpress
Project description:Introduction: Cis-acting regulatory single nucleotide polymorphisms (SNPs) at specific loci may modulate penetrance of germline mutations at the same loci by introducing different levels of expression of the wild-type allele. We have previously reported that BRCA2 shows differential allelic expression and we hypothesize that the known variable penetrance of BRCA2 mutations might be associated with this mechanism. Methods: We combined haplotype analysis and differential allelic expression of BRCA2 in breast tissue to identify expression haplotypes and candidate cis-regulatory variants. These candidate variants underwent selection based on in-silico predictions for regulatory potential and disruption of transcription factor binding, and were functionally analysed in-vitro and in-vivo in normal and breast cancer cell lines. SNPs tagging the expression haplotypes were correlated with the total expression of several genes in breast tissue measured by Taqman and microarray technologies. The effect of the expression haplotypes on breast cancer risk in BRCA2 mutation carriers was investigated in 2754 carriers. Results: We identified common haplotypes associated with differences in the levels of BRCA2 expression in human breast cells. We characterised three cis-regulatory SNPs located at the promoter and two intronic regulatory elements, which affect the binding of the transcription factors C/EBPα, HMGA1, DBP and ZF5. We showed that the expression haplotypes also correlated with changes in the expression of other genes in normal breast. Furthermore, there was suggestive evidence that the minor allele of SNP rs4942440, which is associated with higher BRCA2 expression, is also associated with a reduced risk of breast cancer (per-allele HR=0.85, 95%CI=0.72-1.00, P-trend=0.048). Conclusion: Our work provides further insights into the role of cis-regulatory variation in the penetrance of disease-causing mutations. We identified small-effect genetic variants associated with allelic expression differences in BRCA2, which could possibly affect the risk in mutation carriers through altering expression levels of the wild-type allele. Total gene expression of normal breast sample from healthy controls. This submission represents transcriptome component of study.
2012-02-01 | E-GEOD-32124 | biostudies-arrayexpress