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• Mucosal 16S metadata

  Metadata for 16S-V4 rRNA gene sequence data for intestinal biopsies from NCT02749630 trial participants.

  Dataset EGAD00001008823

• A95673A

  Whole genome sequencing for single cells for library A95673A 1446 cells; filetype=bam

  Dataset EGAD00001006941

• Data files for CONSERTING

  Data files for CONSERTING (WGS)

  Dataset EGAD00001001352

• Targeted sequencing analysis for MDS with HSCT

  Targeted capture sequencing for cases with MDS who were subjected to unrelated bone marrow transplantation via Japan marrow donor program

  Dataset EGAD00001003118

• RNA data for MMML (EGAS00001002422)

  RNA sequencing data for MMML (3 tumor samples and 1 gcbcell)

  Dataset EGAD00001003285

• Somatic mutations, clonal architecture and genomic evolution in multiple myeloma

  Multiple myeloma is an incurable plasma cell malignancy whose molecular pathogenesis is incompletely understood. We used whole exome sequencing, copy number profiling and cytogenetic to analyses 84 samples from 67 patients with myeloma. In addition to known myeloma genes, we identify new candidate genes, including truncations of SP140, ROBO1 and FAT3 and clustered missense mutations in EGR1. We find oncogenic mutations in cancer genes not previously implicated in myeloma, including SF3B1, PI3KCA and PTEN. We define diverse processes contributing to the mutational repertoire, including kataegis and somatic hypermutation. Most cases have at least one cluster of subclonal variants, including subclonal driver mutations, implying on-going tumor evolution. Serial samples revealed diverse patterns of clonal evolution, including linear evolution, differential clonal response and branching evolution. Our findings reveal the myeloma genome to be heterogeneous across patients and, within individual patients, to exhibit diversity in clonal admixture and dynamics in response to therapy.

  Dataset EGAD00001000339

• Exome Sequencing in Schizophrenia Families

  Schizophrenia is a complex neuropsychiatric disorder characterized by marked genetic heterogeneity. Much of the genetic architecture of the disorder has yet to be explained, but de novo mutations appear to play an important role. We used exome sequencing of parent-offspring quads and trios to detect de novo mutations in persons with schizophrenia. Patients were more likely to harbor one or more damaging de novo mutations, as compared to their healthy siblings. The genes disrupted by damaging mutations in patients operated in processes important to early brain development.

  Study phs000738

• Genomic Characteristics of Myeloproliferative Neoplasms in Patients Exposed to Ionizing Radiation following the Chernobyl Nuclear Accident

  The study "Genomic Characteristics of Myeloproliferative Neoplasms in Patients Exposed to Ionizing Radiation following the Chernobyl Nuclear Accident" was designed as case-control study. We studied genomic characteristics of chronic Philadelphia chromosome-negative myeloproliferative neoplasm (MPNs) in Ukrainian patients who were previously exposed to Ionizing Radiation (IR) due to Chernobyl accident in comparison to unexposed MPN patients and controls (previously exposed to IR due to Chernobyl accident and unexposed people who were not diagnosed with any oncological condition at the moment of DNA sampling).

  Study phs001761

• In Vivo Cytokine eQTL Interactions from a Lupus Clinical Trial

  The purpose of this study is to discover in vivo cytokine expression quantitative trait locus (eQTL) interactions from a cohort of patients with systemic lupus erythematosus. 157 lupus patients were enrolled in a clinical trial to test the efficacy and safety of an anti-IL-6 monoclonal antibody. At three time points, we measured interferon (IFN) status, anti-IL-6 drug exposure and genome-wide gen expression. We identified 4,818 cis-eQTLs and then observed a statistically significant enrichment of in vivo eQTL interactions with IFN status and anti-IL-6 exposure.

  Study phs001702

• High Resolution Analysis of Spatial Interactions of Hundreds of Promoters in HeLa Cells

  In this study we developed a new hybridisation-based promoter Capture-C protocol that makes use of biotinylated dsDNA probes and allows high-resolution promoter interactome description. Experiments aimed to describe spatial interactions of set of 861 promoters were performed in HeLa cells. We have found that enrichment efficiency and quality of final libraries in our study is on a par with established promoter Capture-C protocols. Meanwhile, our version of the probe preparation protocol is reasonably simple and makes Capture-C experiments more affordable and flexible.

  Study phs002014