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• Baylor Hopkins Center for Mendelian Genomics (BH CMG)

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs000711

• Broad Institute Center for Mendelian Genomics

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs001272

• University of Washington Center for Mendelian Genomics (UW-CMG)

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs000693

• Breast_cancer_sequential_sampling_study

  This study aims to whole genome sequence DNA derived from breast cancer patients who received neo-adjuvany chemotherapy. All patients had multiple biopsies performed before chemotherapy. Patients who had residual disease after the course of treatment underwent a further biopsy. We aim to characterise the mutations involved.

  Study EGAS00001000300

• Targeted_sequencing_of_cylindroma_patients

  Patients with cylindroma show multiple large tumours on the scalp and forehead. These large tumours will allow us to look at clonality within a tumour. We wish to asses the mutational load and diversity within and across tumours as well as compare with perilesional skin.

  Study EGAS00001002708

• Pediatric HGG WES and RNA-Seq

  Paediatric high-grade glioma (pHGG) is the leading cause of paediatric brain tumour death. Here we performed RNA and whole exome sequencing on pHGG samples to analyse transcriptomic and genetic alterations associated with this devastating disease, and to understand the relationship between them.

  Study EGAS00001005687

• Expanding CIRdb, a comprehensive catalog of whole-exome sequencing data of Canary Islanders

  This study aimed to comprehensively characterize the full spectrum of small genetic variation among 920 unrelated donors from this population based on whole-exome sequencing data to further develop CIRdb as the Canary Islanders-specific reference catalog of genetic variation.

  Study EGAS50000001726

• Reconstruction of the microbial genomes from the Japanese gut metagenome

  We performed a metagenome shotgun sequencing to identify the microbial features of Japanese.

  Study JGAS000531

• Large scale familial CRC exome sequencing study

  The burden of rare disruptive mutations to the heritable risk of colorectal cancer

  Study EGAS00001001666

• Liver_Tumours_WGS

  The aim of this study is to define the mutational landscape of human liver tumours.

  Study EGAS00001003446

• Orphan_Tumour_Study___RNAseq

  The aim of this study is to study the genomes of ultra rare childhood tumours

  Study EGAS00001002534

• Whole_Genome_sequencing_of_rhabdomyosarcoma_tumour_tissue

  The aim of this study is to investigate the genomic landscape of human cancer.

  Study EGAS00001008277

• Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma

  Cholangiocarcinoma (CCA) is a hepatobiliary malignancy exhibiting high incidence in countries with endemic liver-fluke infection. We analyzed 489 CCAs from 10 countries, combining whole-genome (71 cases), targeted/exome, copy-number, gene expression, and DNA methylation information. Integrative clustering defined 4 CCA clusters-fluke-positive CCAs (clusters 1/2) are enriched in ERBB2 amplifications and TP53 mutations; conversely, fluke-negative CCAs (clusters 3/4) exhibit high copy-number alterations and PD-1/PD-L2 expression, or epigenetic mutations (IDH1/2, BAP1) and FGFR/PRKA-related gene rearrangements. Whole-genome analysis highlighted FGFR2 3' untranslated region deletion as a mechanism of FGFR2 upregulation. Integration of noncoding promoter mutations with protein-DNA binding profiles demonstrates pervasive modulation of H3K27me3-associated sites in CCA. Clusters 1 and 4 exhibit distinct DNA hypermethylation patterns targeting either CpG islands or shores-mutation signature and subclonality analysis suggests that these reflect different mutational pathways. Our results exemplify how genetics, epigenetics, and environmental carcinogens can interplay across different geographies to generate distinct molecular subtypes of cancer.SIGNIFICANCE: Integrated whole-genome and epigenomic analysis of CCA on an international scale identifies new CCA driver genes, noncoding promoter mutations, and structural variants. CCA molecular landscapes differ radically by etiology, underscoring how distinct cancer subtypes in the same organ may arise through different extrinsic and intrinsic carcinogenic processes.

  Study EGAS00001001653

• Germline sequencing

  Detection of SNV/indels in the germline of pediatric cancer patients with a focus on CHEK2 germline variants. Included in this EGA upload are the parents of the children in EGA uplodad EGAD00001008763.

  Study EGAS00001006651

• Whole genome bisufite sequencing of smoking and non-smoking mother-child pairsBisufite sequencing, RNA-seq and ChIP-Seq data of whole blood samples from smoking and non-smoking mothers and their children at gestation/birth and follow-up years.

  Whole-blood samples of 16 mother-child pairs with differing maternal smoking behaviour were bisulfite treated and sequenced with deep coverage to identify smoking-associated differentially methylated regions.RNA-sequencing and ChIP-sequencing of 4 chromatin marks complete the data set and allow for integrative analyses, functional region annotation and to study the impact of epigenetic changes on gene expression.Longitudinal data spanning several years provides the means to investigate the stability of observed differences of all data types.

  Study EGAS00001000455

• Single-cell RNA-sequencing reveals that glioblastoma recapitulates a normal neurodevetlopmental hierarchy

  We discovered a conserved neural tri- lineage cancer hierarchy centered around glial progenitor-like cells. We also found that this progenitor population contains the majority of the cancer’s cycling cells, and, using RNA velocity, is often the originator of the other cell types. Finally, we show that this hierarchal map can be used to identify therapeutic targets specific to progenitor cancer stem cells. Our analyses show that normal brain development reconciles glioblastoma development, suggests a possible origin for glioblastoma hierarchy, and helps to identify cancer stem cell-specific targets.

  Study EGAS00001004422

• Induced pluripotent stem cell lines (iPSC lines) produced from skin and blood cells.

  The IMBA stem cell bank, iPSC Biobank, is a collection of induced pluripotent stem cell lines (iPSC lines) produced from skin and blood cells. The iPSC Biobank is integrated into the IMBA Stem Cell Core Facility. It stores and provides high-quality reference control panels of iPSC clones as a tool to the research community. The resource is available to all scientists and commercial institutions. The ethical guidelines of the iPSC Biobank are always based on prevailing laws and internal regulations.

  Study EGAS00001006262

• Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples

  Mislabelling and swapping of laboratory samples are handling errors that can lead to erroneous interpretation of data and/or patient harm. Sequenced samples can be traced back to the respective donors by matching of single nucleotide polymorphisms (SNPs). Here we used sequencing data (targeted NGS) from two cohorts of patients with chronic lymphocytic leukaemia to demonstrate the possibility of selecting informative SNPs from a typical targeted NGS panel and to create an automated workflow for detection of sample handling errors.

  Study EGAS50000000532

• Osteosarcoma whole genome rearrangement screen

  Genomic libraries (500 bps) will be generated from total genomic DNA derived from Osteosarcoma cancer patients and subjected to short paired end sequencing on the llumina platform. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Dataset EGAD00001000368

• Stand Up 2 Cancer (SU2C) Genomics-Enabled Medicine for Melanoma (GEMM) Trial

  The goal of the GEMM Trial is to ascertain if comprehensive and systematic interrogation of a patient's tumor molecular profile improves outcomes compared to the current practice of physician's choice for metastatic melanoma patients who have progressed following first line therapy. The data shared here includes tumor/normal exome and tumor RNAseq data for the trial patients, as well as archival data for a subset of patients.

  Study phs001786

• Nasal epithelial cells of PCD and non-PCD patients grown at air-liquid interface for RNAseq analysis

  Raw RNAseq data files of genetically unsolved PCD patients used for transcriptomic analysis aming to uplift the diagnostic rate. The non-PCD patients were used as a clinical comparator to the PCD patients. Majority of the nasal epithelial cells used for RNAseq were cultured at an air-liquid interface for 21 days, unless the data file name indicates a different air-liquid-culture time-point.

  Study EGAS00001006632

• Exome sequencing of HCV+ lymphoma

  The present retrospective study aimed to explore the genetic landscape of a well-characterized series of 34 HCV-associated B-cell lymphomas from the observational multicentric ANRS HC-13 Lympho-C Study using tumor and matched germline whole exome sequencing (WES). It reported the first series of VHC-positive lymphoma patients analyzed by WES. Our results provide an overview of the genetic landscape associated to HCV-related B-cell lymphomas and highlight some novel putative candidate genes.

  Study EGAS00001006860

• Diversity of U1 small nuclear RNAs and Evaluation of Diagnostic Methods for their Mutations

  U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various malignancies, including medulloblastoma, yet their identification has proven challenging due to their repetitive nature. To establish a robust DNA-based, and RNA-based method for detecting U1 snRNA mutations, we performed targeted DNA sequencing using our original gene panel for medulloblastoma and RNA-sequencing. As an RNA-based method, we developed a random forest classifier employing splicing patterns which were massively altered as a result of U1 snRNA mutations. By using both methods, we successfully detected U1 snRNA mutation in five DNA samples and four RNA samples.

  Study EGAS50000000693

• Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden

  Profiling of circulating tumor DNA (ctDNA) may offer a non-invasive approach to monitor disease progression. Here, we developed a quantitative method, exploiting local tissue-specific cell-free DNA (cfDNA) degradation patterns, that accurately estimates ctDNA burden independent of genomic aberrations. Nucleosome-dependent cfDNA degradation at promoters and first exon-intron junctions was strongly associated with differential transcriptional activity in tumors and blood. A quantitative model, based on just 6 regulatory regions, could accurately predict ctDNA levels in colorectal cancer patients. Strikingly, a model restricted to blood-specific regulatory regions could predict ctDNA levels across both colorectal and breast cancer patients.

  Study EGAS00001004657

• Next-generation sequencing-based comprehensive genetic analysis of undiagnosed disease

  The purpose of this study is to perform comprehensive genetic analysis using next-generation sequencers to make genetic diagnosis of "undiagnosed diseases".

  Study JGAS000522