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• Genomic characterization of 9p- syndrome

  We characterized the precise genomic breakpoints of the complex structural variant associated with 9p- syndrome in one individual.

  Study phs002054

• Targeted sequencing of genomics regions of interest in depression and obesity

  Data corresponding to the fastq of the 654 individuals included in the study.

  Dataset EGAD50000000476

• RNASeq of Calcoco2 in beta and fat cell lines

  Investigation of the function of Calcoco2 by knocking it down in beta and fat cell lines.

  Dataset EGAD00001008654

• piRNA analysis in human testis

  The dataset comprises RNAseq data of human testiculr tisue of fertile men with full spermatogenesis nd infertile men with biallelic variants in genes of the piRNA pathway.

  Dataset EGAD50000000585

• WTCCC2 Ischaemic Stroke study

  Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke

  Study EGAS00000000103

• H3K27ac CUT&Tag in LCLs derived from constitutional MLH1 epimutation carriers and non-carrier relatives

  H3K27ac CUT&Tag performed in LCLs derived from constitutional MLH1 epimutation carriers and non-carrier relatives

  Dataset EGAD50000000711

• N2M2 methylation array data

  Methylation profiling of 228 samples, using the approach described in "Molecularly matched targeted therapies plus radiotherapy in patients with newly diagnosed glioblastoma without MGMT promoter hypermethylation (N2M2/NOA-20 phase I/IIa umbrella trial)"

  Dataset EGAD00010002747

• WES in Angolan and Cape Verdean triple-negative breast cancer samples

  WES (using the SureSelect Human All Exon V5 + UTRs target enrichment kit) in 23 Angolan and 7 Cape Verdean triple-negative breast cancer samples

  Dataset EGAD50000001482

• Myeloproliferative_Neoplasms__MPN__Exome_Validation_Study

  Experiments using targeted pulldown methods will be sequenced to validate findings in the exomes of patients with Myeloproliferative Neoplasms (MPN).

  Study EGAS00001000404

• CMF_RNA_sequencing

  RNA sequencing will be undertaken to reconstruct rearrangements at level of transcription to determine pathogenomic genomic events in chondromyxoid fibroma

  Study EGAS00001000470

• Exome sequencing of hyperplastic polyposis patients

  In this project we are sequencing the exomes of patients with hyperplastic polyposis, and tumours from these patients.

  Study EGAS00001000040

• Functional dissection of inherited non-coding variation influencing multiple myeloma risk

  The project aimed at identification of genotype dependent chromatin accessibility in MM patients.

  Study EGAS00001005394

• Analyses of IACS-010759 treatment resistance on breast cancer bone metastases

  Identification of biological mecanisms involved in resistance of breast cancer bone metastases to IACS treatment.

  Study EGAS00001006429

• Case Report of a Leukemic Patient with Invasive Mucormycosis

  Whole exome sequencing of germline DNA was performed and subsequent polymorphisms in genes known and putatively involved in the innate immune response to fungi were identified

  Dataset EGAD00001001692

• Whole genome low pass sequencing data used in HF-GBM-Tumor-Neurosphere-Xenograft

  This data set consists of 82 whole genome low pass sequencing bams used in HF-GBM-Tumor-Neurosphere-Xenograft

  Dataset EGAD00001002245

• Somatic evolution in the non-neoplastic IBD affected colon

  Whole genome and whole exome sequencing data supporting the manuscript 'Somatic evolution in the non-neoplastic IBD affected colon' by Sigurgeir Olafsson et al.

  Dataset EGAD00001006061

• Initial WGS of plasma cell neoplasms in fire fighters exposed to the WTC attack

  Initial WGS of plasma cell neoplasms in fire fighters exposed to the WTC attack

  Dataset EGAD00001006896

• The complexity of tobacco smoke induced mutagenesis in head and neck cancer - sequence data (Mutographs)

  The complexity of tobacco smoke induced mutagenesis in head and neck cancer - sequence data (Mutographs)

  Dataset EGAD00001015386

• Assessing mitochondrial bioenergetics in coronary artery disease: A translational left ventricular tissue study in humans (The AMBITION study).

  Single nuclei transcriptomic data from the AMBITION study.

  Dataset EGAD00001011078

• Transcriptome and TCR Sequencing of T Cells from Metastectomies

  T cells were sorted from metastatic tumors (colon, rectal, breast, anal, melanoma primary histologies) following tumor dissociation and single-cell sequencing was performed (RNAseq and TCRseq). For samples from tumors that had been previously studied, cells were analyzed comparing known neoantigen-reactive TCR-expressing cells to other T cells. For samples without previously identified neoantigen reactivity, TCRs were predicted on the basis of T cell transcriptomic states. To determine candidate neoantigen screening, exome and RNA sequencing were performed on fragments of matched tumors from which T cells were sequenced   

  Study phs002748

• Long read mRNA sequencing of human neural retinal samples - Usher syndrome transcript landscape

  Long-read (PacBio) RNA sequencing dataset of three neural retinal samples. Three PacBio libraries were prepared according the 'standard workflow' optimized for sequencing transcripts centered around 2kb. Additionally one Library (input HNR_S2) was prepared according an optimized 'long workflow' to enrich for larger transcripts up to >10kb. To further enhance the capture of full-length transcripts for USH2A and ADGRV1 (USH2C) genes, we also employed a targeted enrichment approach using the Samplix Xdrop System, followed by PacBio long-read sequencing. USH2A and ADGRV1 enrichment was performed by targeting '5- mid and 3' targets of the respective genes. Finally, we also added ONT (Oxford Nanopore technology) long-read mRNA sequencing of three independent neural retina samples. These data were used for the validation of events observed from the Iso-Seq and Samplix data. The ONT datasets contain sequencing data of the Usher-associated genes. Files are raw BAM, and CRAM format files generated by a Sequel II machine. Additionally, the ccs3 BAM format files are included.

  Dataset EGAD50000000720

• Arcagen - Extra-pulmonary neuroendocrine tumour or cancer grade 3 (NET / NEC G3) domain

  Arcagen is an EORTC/SPECTA pan-European project that aims to recruit 1000 rare cancer patients from different tumour domains of EURACAN. This study collected samples from advanced or metastatic rare cancer from patients older than 12, and analysed them using Foundation Medicine next-generation sequencing (NGS) panels (FoundationOne CDx for FFPE samples or FoundationOne Liquid CDx for blood samples). Here were are submitting the dataset that contains NGS files from patients with extra-pulmonary neuroendocrine tumour or cancer grade 3 (NET / NEC G3) (n=85).

  Study EGAS50000000644

• scRNA-seq of human follicular lymphoma and lymph node

  Cryopreserved cells from human nodal follicular lymphoma and lymph node samples were thawed and processed for scRNA-seq analysis. CD3+ CD19− 7-AAD− live T cells (six FL samples from the Original cohort) or 7-AAD− whole live hematopoietic cells (five lymph node and nine FL samples from Validation cohort 1) were sorted using a FACS Aria II or III instrument (BD Biosciences). To generate single-cell emulsions, 6,000–10,000 live cells were loaded into the 10X Genomics Chromium Controller for single-cell partitioning, along with the reverse transcriptase reagent mixture and 3' or 5' gel beads. Sorted T or whole hematopoietic cells were converted to barcoded scRNA-seq libraries using 10X Genomics Chromium single cell 3' reagent kits (v3) for the Validation cohort 1, 5' reagent kits (v1) for the Original cohort, according to the manufacturer’s instructions. The libraries were sequenced on an Illumina HiSeq X Ten or NovaSeq X Plus system, mapped to the human genome (build GRCh38), and demultiplexed using CellRanger pipelines (v3.1.0, 10x Genomics).

  Dataset EGAD50000001143

• T cell repertorie analysis fom a Spanish cohort of mild and severe cases of COVID-19 recovered patients

  The cohort included 98 mild and 75 severe cases with a median age of 53 years. We amplified and sequenced the T Cell Receptor (TCR β) chain complementary determining region 3 (CDR3b) and performed bioinformatic analyses to assess repertoire diversity, clonality, allelic usage, and epitope affinity CDR3b clustering. CDR3b sequences were amplified by multiplex PCR and sequenced by Illumina. The resulting raw files were processed for clonotype assembly, filtering for coding clonotypes, removal of non-TRB alleles, and downsampling.

  Study EGAS50000000331

• Exome Sequencing of familial and sporadic Meniere disease patients

  This study aims to characterize the genetic architecture of spanish patients diagnosed with Meniere disease (MD), focusing on both familial (FMD) and sporadic (SMD) forms, by analyzing coding variants. Whole-exome sequencing was performed on these patients, and variants were called and annotated using the nf-core/sarek bioinformatics pipeline, including alignment to the GRCh38 reference genome. The resulting data provide a curated resource for investigating the potential genetic contribution to the pathophysiology of MD. All data will be made available for reuse under controlled access.

  Study EGAS50000001178

• Identification of new molecular targets with profiling of malignant mesothelioma

  Aims: Malignant mesothelioma which is associated with asbestos exposure is highly aggressive and refractory to conventional therapeutic modalities. The aim of this study is identification of new targets for molecular target therapy by next generation sequencing and application of the genomic data to new diagnostic and therapeutic strategies for malignant mesothelioma patients. Methods: We extracted genomic DNAs from surgical specimens or established mesothelioma cell lines from Japanese malignant mesothelioma patients. We also extracted control DNAs from peripheral blood of the same patients. We performed whole exome sequencing using these DNAs.

  Study JGAS000062

• Understanding_Society_GWAS

  The UK Household Longitudinal Study (Understanding Society https://www.understandingsociety.ac.uk/) aims to create and enhance a resource for a wide range of scientists, both social and biological, by combining the collection of biomarkers and psychosocial information with high quality longitudinal social and economic data about individuals and families. 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 EGAS00001001232

• Whole Exome sequencing of colorectal cancer patients (SG-BULK)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer. DNA-seq libraries were captured to exome regions using xGen Exome Research Panel v1.0 (IDT), and libraries were prepared using the KAPA Hyper prep kit. DNA libraries were sequenced to a target depth of ×200 for tumor sample, ×100 for normal samples on the Illumina HiSeq platform.

  Study EGAS00001006006

• Whole exome sequencing of advanced gastric cancer

  To define the cellular characteristics of malignant ascites of advanced gastric cancer patients and search for therapeutic strategies, we obtained 5 malignant ascites and 1 cerebrospinal fluid from five patients with gastric cancer. We analyzed 180 cells from 4 malignant ascites and 1 cerebrospinal fluid metastasis. The results indicate that the anti-inflammatory characteristics of the tumor associated macrophages are concocted by the tumor cells. By constructing reference transcriptomes for M1 and M2 type macrophages, we found a strong non-inflammatory property of macrophages recovered from the malignant ascites of gastric cancer.

  Study EGAS00001004086

• Transcriptional_analysis_of_cells_from_lungs

  To capture the full heterogeneity of the cellular types and states during HSPCs differentiation, haematopoietic progenitors will be obtained through column-enrichment of cells expressing CD34, a pan-progenitor marker for HSPCs. The samples from tumour and non-tumour lung tissue from different patients will be processed using the 10x Genomics platform. 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 EGAS00001002649

• Genomic profiling of Follicular thyroid adenomas and carcinomas using exome-sequencing analyses

  While thyroid nodules per se are frequent (4%–50%), thyroid cancer is rare (∼5% of all thyroid nodules). The minimally invasive Fine Needle Aspiration Cytology (FNAC) is the current gold standard for the diagnosis thyroid nodule malignancy. However, proper discrimination of follicular neoplasias often require more invasive diagnostic techniques. To develop a novel molecular classification system for thyroid cancer malignancy, we performed an genomic profiling of 54 fresh frozen Follicular like thyroid samples using a whole exome sequencing approach (SureSelect V6 Target enrichment protocol and the Illumina Novaseq 6000 platform)

  Study EGAS00001005561

• DAC for CancerLocator study

  Dac EGAC00001000602

• Point of contact for Data

  Dac EGAC00001000977

• DAC for CAR-T

  Dac EGAC00001003069

• DAC for PROP1 study

  Dac EGAC00001000312

• DAC for ACC Study

  Dac EGAC00001000376

• Centre for Biocultural History

  Dac EGAC00001000502

• DAC for SCHoming study group

  Dac EGAC00001000667

• DAC for Pitteloud group

  Dac EGAC00001000690

• DAC for CancerDetector study

  Dac EGAC00001000979

• DAC for cirrhosis data

  Dac EGAC00001001137

• DAC for HIFI data

  Dac EGAC00001001142

• DAC for Hodson's Lab

  Dac EGAC00001001298

• DAC for Levy Group

  Dac EGAC00001001450

• Center for Medical Genetics

  Dac EGAC00001001466

• DAC for Pediatric GBM

  Dac EGAC00001001621

• DAC for TG data

  Dac EGAC00001002263

• OPTIMISTIC DAC for ReCognitION

  Dac EGAC00001002434

• DAC for cfTrack study

  Dac EGAC00001002472

• DAC for hiPSC-derived neurons

  Dac EGAC00001002797