Project description:Comparison of whole genome exome array CGH to a commercial SNP array for detection of de novo and homozygous copy number variants in 99 autism simplex trios. Will update once manuscript is prepared.
Project description:The aim of this study was to evaluate whether microRNA profiles of grade 1 – 2 or 3 endometrioid adenocarcinomas can be related to nodal status and used as a tool to adapt surgical staging in early-stage EC. MicroRNA expression were assessed in twelve formalin-fixed paraffin-embedded (FFPE) EC primary tumors with positive lymph node and in 36 FFPE EC primary tumors with negative lymph node, matched for grade, stage and lymphovascular space involvement status.
Project description:Identifying germline BRCA1/2 mutation carriers is vital for reducing their risk of breast and ovarian cancer; however, many carriers are not referred for genetic testing. While population-wide testing is not feasible, a cheap functional screen for phenotypic ‘BRCAness’ could guide efforts for focused genetic counseling and improve cancer prevention and early detection. The aim of this study was to derive a serum-based miRNA panel to identify BRCA1/2 mutation carriers among healthy controls. We performed a diagnostic biomarker study based on serum samples collected between by six international cohorts. Serum samples from 653 healthy women with known mutation status of BRCA1 and BRCA2 were used in the analysis. All individuals had no history of prior cancer or any detected malignancies for at least 12 months after sample collection. Among the study population, 350 (53.6%) subjects had BRCA mutations and 303 (46.4%) were BRCA1/2 – wild-type. In all individuals, we isolated and quantified miRNAs expression using RNA-sequencing. Variable selection based on differential expression analysis on merged, batch adjusted cohorts was performed to identify a set of miRNAs associated with BRCA mutation carrier status.
Project description:Genome organization influences transcriptional regulation by facilitating interactions between gene promoters and distal regulatory elements. To analyse distal promoter contacts we used Capture Hi-C (CHi-C) to enrich for promoter-interactions in HiC libraries from mouse ESC and E14.5 fetal liver. Please note additional files included. These files were created using the following protocol: Significantly interacting regions were called using the GOTHiC BioConductor package (http://www.bioconductor.org/packages/devel/bioc/html/GOTHiC.html) as described in (Mifsud et al.).<br>Update on December 2015: the original additional file E-MTAB-2414.additional.1.zip contained an earlier iteration of processed data and not the one that was used for the published paper. The file now contains the correct list of interactions.