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• Cerebrospinal fluid circulating tumour DNA allows the characterisation and monitoring of medulloblastoma

  The molecular characterisation of medulloblastoma, the most common paediatric brain tumour, is crucial for the correct management and treatment of this heterogenous disease. In this study we show that CSF ctDNA allows the molecular characterisation and monitoring of medulloblastoma. This can ultimately facilitate the clinical management of medulloblastoma patients.

  Study EGAS00001004651

• Next_gen_seq_of_eye_cancers

  Retinoblastoma (RB), the commonest eye cancer in children was the first cancer for which a genetic cause was identified: the Rb1 gene is a tumour suppressor gene that is mutated in RB. The Rb1 gene defect alone does not predict the clinical outcome. We propose to study other possible mechanisms: 1. Stepwise further mutations occur in RB, increasing its carcinogenesis. We will sequence the whole genome in RB tissue, and relate the different genes expressed to the treatments used. 2. Extracellular matric proteins contribute to a tumour permissive environment for RB to continue to grow. This includes Samll Leucine Rich Proteoglycans (SLRP), a family of 15 secreted extracellular matrix proteins involved in eye development. 3. Cancer stem cells (CSC), a subpopulation of treatment resistant cells, drive RB tumours, and whether these stem cells can be manipulated for new therapies. The aim of this study is to assist finding targeted diagnostic techniques and treatments for RB.

  Study EGAS00001002309

• Center Common Disease Genomics [CCDG] - Cardiovascular: Partners Biobank

  This study is a part of NHGRI's Center for Common Disease Genomics, a collaborative large-scale genome sequencing effort to comprehensively identify rare risk and protective variants contributing to multiple common disease phenotypes. Current estimates anticipate that the CCDG program will perform whole genome sequencing of 140K individuals and whole exome sequencing of 225K individuals over the course of the project. The Cardiovascular Disease working group of the CCDG considered five diseases: early-onset coronary artery disease (EOCAD), stroke, atrial fibrillation, congestive heart failure and type 2 diabetes. CAD is the leading cause of death in the world and common variant association studies show that our understanding of the underlying molecular mechanisms is incomplete (e.g, >2/3 of the 63 common variants previously mapped for CAD do not directly relate to known risk factors). CAD is representative of a class of common diseases with onset at middle age. When CAD occurs early in life, there is a stronger inherited component. In addition, there is empirical evidence that a burden of rare coding alleles in individual genes contribute to risk for CAD. Source: https://ccdg.rutgers.edu/sites/default/files/CCDG_CVD_EOCAD_STROKE_FINAL.pdf For this study, The Broad Institute of MIT and Harvard generated genetic data for ~13,500 individuals from the Partners Biobank, including using whole exome sequencing and whole genome genotyping (Infinium Global Screening Array), with 550 samples from patients with myocardial infarction, a type of EOCAD. Partners Biobank, launched in 2010, is a biobank composed of samples from Partners hospitals, including Massachusetts General Hospital and Brigham and Women's Hospital. The Biobank has enrolled >100K individuals to study how genes, lifestyle, and other factors affect people's health and contribute to disease.

  Study phs002018

• Genome-Wide Association Study of Parkinson Disease: Genes and Environment

  This is a gene-environment study of Parkinson's disease. PD is a common, progressive, age-related, movement disorder that affects 1-2% of the people over the age of 65. The NeuroGenetics Research Consortium (NGRC) is the infrastructure of the study. Protocols and methods are standardized across NGRC clinics and labs as much as possible. The 2000 patients and 2000 control subjects selected for this GWAS were recruited at the NGRC-affiliated movement disorder clinics in Oregon, Washington, Georgia and New York. All 4000 subjects were white and all DNA samples were extracted from whole blood and unamplified. Seventy-five percent of subjects have data on cigarette smoking and caffeinated coffee consumption, which are inversely associated with PD risk. This study population represents the norm for clinical genetic studies of PD; i.e., NGRC estimates of risk to relatives, heritability, genotype frequencies, and exposure frequencies (see references) are very close to estimates from meta-analyses.

  Study phs000196

• Spatial targeted gene sequencing of metastatic melanoma

  We performed deep targeted DNA sequencing for a panel of 265 cancer-related genes. This included subsampling 35 different regions of a metastatic melanoma biopsy that was treated with anti-PD-1 inhibitor. Samples with cancer cell purity greater than 80% based on pathologic assessment were used for cancer gene panel DNA sequencing. Mean sequencing coverage was 861x and paired-end reads in FASTQ format were generated by the Illumina pipeline and aligned to the reference human genome hg19 build using the Burrows-Wheeler Alignment Tool (BWA, v0.7.5) with default settings. Aligned reads were further processed using GATK with best practices for removing duplicates, indel removal and recalibration.

  Dataset EGAD00001005821

• iNeuron_ChIPseq

  Characterisation of the chromatin status of induced neurons (iNeurons) generated by overexpression of the Ngn2 transcription factor transgenically in BOB iPS cells at the excitatory cortical neuron and iPSC stages. The aim is to understand the differentiation trajectory and characterise the chromatin status so that we can understand the impact of chromatin on gene expression during this transition. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001003165

• Genetics of Cutaneous T-Cell Lymphoma

  Mycosis fungoides (MF) is a common extranodal T-cell lymphoma primarily arising in the skin. In early disease stages, MF presents as skin patches and plaques that in some cases may progress to tumor and disperse to lymph nodes and other internal organs. The 10-year overall survival is 50% in advanced stages. Early diagnosis is difficult as the histology overlaps with features of inflammatory skin diseases. Even when the diagnosis is established, there are no prognostic markers that predict whether the disease will be aggressive or indolent. Lastly, there are no curative treatments and MF will invariably relapse, even after aggressive chemotherapy. The disease is a diagnostic, prognostic and therapeutic challenge. The main objective of this study is to address the question of tumor heterogeneity in MF. To date, MF is considered to be monoclonal, derived from a transformed, mature memory T-cell. However, clinical observations and preliminary data suggest that MF comprises multiple subclones, which may be of importance for understanding disease evolution and resistance to therapy. We plan to address this objective using Whole Exome Sequencing (WES) of MF tissue prepared by laser microdissection (LMD).

  Study phs001877

• Star2xml: metadata converter into XML

  Star2xml: metadata converter into XML Welcome to the landing page for star2xml - a tool developed by the European Genome-phenome Archive (EGA) that enables users to convert metadata into XML format that is compliant with EGA's programmatic submission system. For starters, if you are not sure what metadata is in this context, you may want to explore our brief metadata introduction. . Star2xml is useful for users who have already submitted their data to the EGA and want to also submit their metadata programmatically without having to create the XML files manually. The need for these XMLs containing metadata is explained in the EGA's metadata schemas and programmatic submission guidelines. In summary, star2xml allows for users to deposit metadata in a tabular format (e.g. excel spreadsheet) and transform it into a compliant XML format. This saves time in large submissions, where the sheer size of metadata makes it difficult to manage. For smaller submissions, it is recommended to use EGA's Submitter Portal (SP) instead. The installation of the tool is straightforward, and it contains detailed documentation on how to use it in its GitHub repository . While star2xml can help users convert metadata formats, it does not validate the resulting metadata against EGA's schemas. Therefore, after creating your XMLs, you should still validate your metadata before submitting it to EGA, as described in the documentation for programmatic metadata validation.

  Documentation tools/star2xml

• North American Mitochondrial Disease Consortium Patient Registry and Biorepository

  Mitochondrial diseases are caused by dysfunction of the mitochondria, which are specialized compartments that are present in every cell of the body except red blood cells. Mitochondria generate more than 90% of the energy that the body needs to sustain life and support growth. When they fail, less and less energy is generated within the cell. This injures the cell and can cause its death. If this process is repeated throughout the body, whole organ systems begin to fail, and the life of the person in whom this is happening is severely compromised. Mitochondrial diseases primarily affect children, but adult onset is becoming more and more common. Mitochondrial diseases are probably the most diverse human disorders at every level: clinical, biochemical, and genetic. Some affect only the nervous system but most affect many body systems, including the brain, heart, liver, skeletal muscles, kidney, and the endocrine and respiratory systems. Although mitochondrial disorders vary in severity, they are usually progressive, and often crippling. They can cause paralysis, seizures, mental retardation, dementia, hearing loss, blindness, weakness and premature death. Because of the range of symptoms and the frequent involvement of multiple body systems, mitochondrial diseases can be a great challenge to diagnose. Even when accurately diagnosed, they pose an even more formidable challenge to treat, as there are very few therapies and most are only partially effective. About this Study The first objective of this study is to establish a clinical registry of patients with suspected or confirmed mitochondrial diseases. We are collecting medical and family history, diagnostic test results, and prospective medical information for these patients and, using agreed procedures developed by the leading research clinicians in the field, providing, for the first time, standardized diagnoses of these complex disorders for the patients. The clinical information we collect from the participants will be used to learn about the spectrum of mitochondrial disorders and their prevalence. We will also develop studies which allow us to better understand how these diseases progress, which we do not understand well enough. When we begin clinical trials for mitochondrial diseases, patients enrolled in the registry who are identified as potentially eligible will be offered enrollment. Patients will only be included in studies if they give their consent in advance. The second objective of this study is to establish a biorepository for specimens and DNA from patients with mitochondrial diseases, in order to make materials easily available to consortium researchers.

  Study phs001538

• Open Targets 020 Epigenomes of Cell Lines (2018-10-23)

  There is currently a drive to establish cell based assay systems of greater human biological and disease relevance through the use of well characterised transformed cell lines, primary cells and complex cellular models (e.g. co-culture, 3D models). However, although the field is gaining valuable experience in running more non-standard & complex cell assays for target validation and compound pharmacology studies, there is the lack of a systematic approach to determine if this expansion in cell assay models is reflected in increased human biological and disease relevance. The increasing wealth of publically available transcriptomic, and epigenome (ENCODE and Epigenome Roadmap) data represents an ideal reference mechanism for determining the relationship between cell types used for target & compound studies to primary human cells and tissues from both healthy volunteers & patients. The CTTV020 epigenomes of cell line project aims to generate epigenetic and transcriptomic profiles of cell lines and compare these with existing and newly generated reference data sets from human tissue and cell types. The aim is to identify assay systems which will provide greater confidence in translating target biology and compound pharmacology to patients. Multiple cell types commonly used within research have been grouped according to biology. Examples include erythroid, lung epithelial, hepatocyte cell types and immortalised models of monocyte / macrophage biology. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/ . This dataset contains all the data available for this study on 2018-10-23.

  Dataset EGAD00001004416