Project description:<p>To discover novel candidate genes associated with rare Mendelian phenotypes, we will conduct individual genomic and phenotypic characterization using genome-wide array, pedigree exome sequencing, candidate genotyping, and pertinent clinical testing to define phenotype. Pedigrees included in this submission will have a variety of clinical pathological phenotypes.</p>
Project description:<p>To discover novel candidate genes associated with rare Mendelian phenotypes, we will conduct individual genomic and phenotypic characterization using genome-wide array, pedigree exome sequencing, candidate genotyping, and pertinent clinical testing to define phenotype. Pedigrees included in this submission will have a variety of clinical pathological phenotypes.</p>
Project description:Purpose: Evaluation of XCI status in a cohot of female patients with suspected rare genetic diseases using exome and RNA sequencing Results: We developed a method for estimating X inactivation status, using exome and transcriptome sequencing data from 112 female samples. We built a reference model for evaluation of XCI in 135 females from the GTEx consortium. We tested and validated the model on 14 female individuals with different types of undiagnosed rare genetic disorders who were clinically tested for X-skew using the AR gene assay and compared results to our outlier-based analysis technique. In comparison to the AR clinical test for identification of X inactivation, our method was concordant with AR method in 9 samples, discordant in 3, and provided measures of X inactivation in 2 samples with uninformative clinical results. We applied this method on an additional 98 females presenting to the clinic with phenotypes consistent with different hereditary disorders without a known genetic diagnosis. Here we show the use of transcriptome sequencing data to provide an accurate and complete estimation of X-inactivation and skew status in female patients.
Project description:Mounting evidence suggests that copy number variations (CNVs) can contribute to cancer susceptibility. The main goal of this study was to evaluate the role of germline CNVs in melanoma predisposition in high-risk melanoma families. We used genome-wide tiling comparative genomic hybridization and SNP arrays to characterize CNVs in 335 individuals (240 melanoma cases) from American melanoma-prone families (22 with germline CDKN2A or CDK4 mutations). We found that the global burden of overall CNVs (or deletions or duplications separately) was not significantly associated with case-control or CDKN2A/CDK4 mutation status after accounting for the familial dependence. However, we identified several rare CNVs that either involved known melanoma genes (e.g. PARP1, CDKN2A) or co-segregated with melanoma (duplication on 10q23.23, 3p12.2 and deletions on 8q424.3, 2q22.1) in families without mutations in known melanoma high-risk genes. Some of these CNVs were correlated with expression changes in disrupted genes based on RNASeq data from a subset of melanoma cases included in the CNV study. These results suggest that rare co-segregating CNVs may influence melanoma susceptibility in some melanoma-prone families and genes found in our study warrant further evaluation in future genetic analyses of melanoma.
Project description:Molecular defects in some ultra-rare subtypes of familial lipodystrophies remain unidentified. We identified novel NOTCH3 heterozygous variants in familial partial lipodystrophy (FPL) pedigrees. All variants were clustered in the heterodimerization domain of the negative regulatory region of NOTCH3. Proteomics of skin fibroblasts revealed significantly higher RNA expression of NOTCH3 and activation of widespread senescence pathways in the FPL patients versus controls.
Project description:We aim to whole-exome sequence DNA samples from 75 individuals with severe forms of Inflammatory Bowel Disease and related autoimmune diseases to identify the rare, highly penetrant, variants that we believe underlie these phenotypes. Case samples will be obtained from both new and existing (UK IBD Genetics Consortium) collaborators to ensure only the most extreme cases are sequenced.