Project description:Intellectual disability is a common condition that carries lifelong severe medical and developmental consequences. The causes of intellectual disability (ID) remain unknown for the majority of patients due to the extensive clinical and genetic heterogeneity of this disorder. De novo mutations may play an important role in ID as most individuals with ID present as isolated cases without family history and/or clear syndromic indication. In addition, the involvement of such mutations have recently been demonstrated in a small number of individuals with ID. Here we evaluate the diagnostic potential and role of de novo mutations in a cohort of 100 patients with ID of unknown cause using family-based exome sequencing. Single end short-read (50 bp) SOLiD 4 sequencing data for 300 individuals, constituting 100 patient-parent trios. For more details please read; http://www.nejm.org/doi/full/10.1056/NEJMoa1206524. Dataset is created by RUNMC (Radboud University, Nijmegen Medical Center), partner of Geuvadis consortium (http://www.geuvadis.org).
Project description:Objectives:
1. To examine the variations in clinical features, survival outcomes, family history, and health behavior among proband patients who are known or suspected to have a hereditary colorectal cancer syndrome
2. To compare the clinical features, survival outcomes, and health behavior of the proband vs. his/her family members who may or may not be affected by the hereditary colorectal cancer syndrome
3. To explore for correlations between germline genetic variations in both the probands and family members with observed variations in the overall disease phenotype across probands and kindreds, within a given syndrome. Disease phenotype is defined to include: (1) clinicopathologic features including patient demographics and oncologic outcomes; (2) clinical manifestations of disease including the timing, spectrum and severity of CRC and extracolonic cancers. Genetic variations may include the specific codon mutated, the type of mutation and sequence alteration (e.g. nonsense, missense etc), chromosomal/gene copy number changes, and gene polymorphisms.
4. To explore for correlations between germline genetic variations in both the probands and family members with observed variations in somatic CRC tumor biology, including tumor pathology and other tumor molecular markers
Project description:Short telomeres are a common defect in idiopathic pulmonary fibrosis, yet mutations in the telomerase genes account for only a subset of these cases.We identified a family with pulmonary fibrosis, idiopathic infertility, and short telomeres.Exome sequencing of blood-derived DNA revealed two mutations in the telomere-binding protein TINF2. The first was a 15-base-pair deletion encompassing the exon 6 splice acceptor site, and the second was a missense mutation, Thr284Arg. Haplotype analysis indicated both variants fell on the same allele. However, lung-derived DNA showed predominantly the Thr284Arg allele, indicating that the deletion seen in the blood was acquired and may have a protective advantage because it diminished expression of the missense mutation. This mosaicism may represent functional reversion in telomere syndromes similar to that described for Fanconi anemia. No mutations were identified in over 40 uncharacterized pulmonary fibrosis probands suggesting that mutant TINF2 accounts for a small subset of familial cases. However, similar to affected individuals in this family, we identified a history of male and female infertility preceding the onset of pulmonary fibrosis in 11% of TERT and TR mutation carriers (five of 45).Our findings identify TINF2 as a mutant telomere gene in familial pulmonary fibrosis and suggest that infertility may precede the presentation of pulmonary fibrosis in a small subset of adults with telomere syndromes.
Project description:Patients with autoimmune disorders exhibit highly reproducible gene expression profiles in their peripheral blood mononuclear cells. These signatures may result from chronic inflammation, other disease manifestations, or may reflect family resemblance. To test the latter hypothesis, we determined gene expression profiles in unaffected first-degree relatives of individuals with autoimmune disease. Gene expression profiles in unaffected first-degree relatives resembled the profiles found in individuals with autoimmune diseases. A high percentage of differentially expressed genes in unaffected first-degree relatives were previously identified as autoimmune signature genes. Examination of the linear regression relationship of gene transcript levels between parent-offspring pairs revealed that autoimmune signature genes display high levels of family resemblance. Taken together, these results support the hypothesis that these variations in gene transcript levels are associated with family resemblance rather than clinical manifestations of disease. Gene expression profiling of autoimmune families
Project description:The study was carried out to identify copy number variations using array-CGH in family having three children affected with albinism (OCA1B) and the males were affected with ID. Agilent’s SureScan microarray scanner with SurePrint G3 Human CGH, 8x60K array platform was used for the study. The probes used for the experiment was approximately 60000 oligonucleotide, allowing detection of deletions above 200 Kb and duplication above 500 kb in entire human genome. CytoGenomics software used to carryout data analysis revealed CNVs in participants.
Project description:BackgroundHeritable factors are well known to increase the risk of cancer in families. Known susceptibility genes account for a small proportion of all colorectal cancer cases. The aim of this study was to identify the genetic background in a family suggested to segregate a dominant cancer syndrome with a high risk of rectal- and gastric cancer. We performed whole exome sequencing in three family members, 2 with rectal cancer and 1 with gastric cancer and followed it up in additional family members, other patients and controls.ResultsWe identified 12 novel non-synonymous single nucleotide variants, which were shared among 5 affected members of this family. The mutations were found in 12 different genes; DZIP1L, PCOLCE2, IGSF10, SUCNR1, OR13C8, EPB41L4B, SEC16A, NOTCH1, TAS2R7, SF3A1, GAL3ST1, and TRIOBP. None of the mutations was suggested as a high penetrant mutation. It was not possible to completely rule out any of the mutations as contributing to disease, although seven were more unlikely than the others. Neither did we rule out the effect of all thousands of intronic, intergenic and synonymous variants shared between the three persons used for exome sequencing.ConclusionsWe propose this family, suggested to segregate dominant disease, could be an example of complex inheritance.
Project description:Patients with autoimmune disorders exhibit highly reproducible gene expression profiles in their peripheral blood mononuclear cells. These signatures may result from chronic inflammation, other disease manifestations, or may reflect family resemblance. To test the latter hypothesis, we determined gene expression profiles in unaffected first-degree relatives of individuals with autoimmune disease. Gene expression profiles in unaffected first-degree relatives resembled the profiles found in individuals with autoimmune diseases. A high percentage of differentially expressed genes in unaffected first-degree relatives were previously identified as autoimmune signature genes. Examination of the linear regression relationship of gene transcript levels between parent-offspring pairs revealed that autoimmune signature genes display high levels of family resemblance. Taken together, these results support the hypothesis that these variations in gene transcript levels are associated with family resemblance rather than clinical manifestations of disease. Keywords: Gene expression profiling