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• Understanding_the_multicellular_dynamics_of_clear_cell_renal_cell_carcinoma___single_cell_RNA_sequencing

  This study will reconstruct the single cellular phylogeny of tumour and immune cells in relation to both genomic, functional, and spatial location. 20 tumours in total will be studied, including non-progressing small renal masses, progressing small renal masses, relatively indolent larger tumours, and high risk tumour with metastatic sampling. We aim to: Generate a focused, comprehensive phylogenetic characterisation of tumour cells Understand the dependencies of the cancer genome, transcriptome, tissue architecture and the single cellular micro-environment Quantify the single cellular composition and functional intra- and inter- tumoural heterogeneity Determine the phylogeny of tumour associated lymphocytes and their relationship to neo-epitopes and the immune microenvironment Investigate the mechanisms by which the tumour-normal interface constrains tumoural growth

  Study EGAS00001003519

• Lindsey E. Jones et al. Patient-derived cells from recurrent tumors that model the evolution of IDH-mutant glioma. Neuro-Oncology Advances, 2020. We established robust, versatile, and well-characterized Patient Derived Cells (PDC) of an IDH1-mutant astrocytoma and an IDH1-mutant oligodendroglioma that represents defined evolutionary stages of chemotherapy-induced hypermutation. The PDCs retain tumor subtype defining features over time as well as classic hallmarks of cancer, including anchorage independent growth and cell immortality. The integrated phylogenies composed of PDCs,single-cell-derived PDCs, patient-derived xenografts, and corresponding spatiotemporal tumor tissue samples also provide new insight into the clonality, evolutionary pattern, and immense mutational load of hypermutated IDH mutant gliomas.

  IDH-mutant lower-grade gliomas can undergo malignant progression via temozolomide-driven hypermutation. Patient-derived cells (PDC) that model the genetically distinct hypermutated (HM) tumor subgroup are generally lacking, and few if any human brain tumor cell models are from defined evolutionary time points. Here, we characterize multiple PDC derived from independent surgical specimens of IDH1-mutant recurrences, including an ATRX and TP53-mutant astrocytoma and a 1p/19q co-deleted and TERT promoter-mutant oligodendroglioma. We determined the evolutionary time points represented by each PDC using exome sequencing and phylogenetic reconstruction, comparing the PDC and single cell clones of the PDC (scPDC) to multiple spatiotemporal tumor tissue samples, PDC-derived xenografts (PDX) and patient-matched blood. The tumor samples exhibited TMZ-induced mutagenesis and a branching pattern of evolution. We found clear evidence of two fully independent founder HM clones in the tumor tissue that are faithfully represented by independent PDC. The PDC, scPDC and PDX also shared the mutagenesis signature and represent the mid and later evolutionary time points of their corresponding tumors. The PDC maintained the tumor subtype-defining features over many passages, including heterozygosity of the IDH1 R132H mutation, production of 2-hydroxyglutarate (2-HG), and subtype-specific telomere maintenance mechanisms. The PDC from both tumors exhibited anchorage-independent growth in soft agar. The oligodendroglioma PDC formed infiltrative intracranial tumors with characteristic oligodendroglioma histology, initially with a long period to tumor formation. We conclude that the PDC, scPDC and PDX faithfully model the heterogeneous clonal origins of the corresponding tumor tissue. The multilevel analysis also provides new insight into the intratumoral heterogeneity and vast mutational load of HM glioma. The PDC from multiple evolutionary time points presented in the context of full clinical timelines may be useful to model evolution and intratumoral heterogeneity, important sources of therapeutic failure.

  Study EGAS00001003992

• Genetic analysis in lifestyle-related disease, arteriosclerotic disease, and aging-related diseases.

  Exome sequence analysis was conducted in patients with hypertension (Stage 3). Rare variants in candidate susceptible genes discovered by previous GWASs were prioritised and further analysed for an additional case-control association study.

  Study JGAS000016

• CRUK Accelerator: Pancreatic neuroendocrine tumours (panNETs) whole exome and RNAseq raw sequencing data

  Whole exome and RNASeq raw sequencing data for an individual with multiple pancreatic neuroendocrine tumours (panNETs). Age at diagnosis was 51. Tumour tissue and PBMCs were used for sequencing. This data was generated as part of a study funded by a Cancer Research UK Centres Network Accelerator Award Grant (A21998).

  Dataset EGAD00001009685

• Clinical utility of combined low-pass whole genome and targeted sequencing in liquid biopsies for diagnosis and monitoring of pediatric solid tumors

  We designed a liquid biopsy (LB) platform employing Low-Pass Whole Genome Sequencing (LP-WGS) and targeted sequencing of cell-free (cf) DNA isolated from plasma for detecting genome-wide copy number alterations and targeted gene fusions in pediatric solid tumors. A total of 143 plasma samples were analyzed from 19 controls (patients with non-oncologic diagnoses) and 73 patients, including 44 with bone or soft tissue sarcomas, 12 with renal tumors, 10 with germ cell tumors, 5 with hepatic tumors, and 2 with thyroid tumors.

  Study EGAS00001006913

• Whole exome sequencing data for two samples

  Whole exome sequencing of two human samples run on the Illumina HiSeq2500 platform. It contains two BAM files aligned to the refrence genoeme GRCh38.

  Dataset EGAD50000000825

• Whole Genome Sequencing of INTERVAL (2019-06-12)

  Whole genome sequencing of participants from the INTERVAL study. . This dataset contains all the data available for this study on 2019-06-12.

  Dataset EGAD00001005084

• DAC policy The Kids Research Institute Australia

  DAC policy related to the study: Visium CytAssist Spatial Gene Expression analysis for FFPE glioblastoma samples. Committee: Raelene Endersby raelene.endersby@thekids.org.au Anya Jones anya.jones@thekids.org.au Emma Stone emma.stone@thekids.org.au

  Dac EGAC50000000734

• The genomic landscape of follicular and diffuse large B-cell lymphoma

  As part of the ICGC, the ICGC MMML-Seq project performed whole genome sequencing and RNA sequencing of follicular and diffuse large B-cell lymphoma. Follicular and diffuse large B-cell lymphomas are the most common B-cell lymphomas in adulthood. Analyses were performed in concordance with the guidelines of the ICGC. The results define the genomic landscape of structural variants, somatic single nucleotide variants and mutational signatures in these lymphomas

  Study EGAS00001002199

• Spatial transcriptome sequence data from cross section of cancer containing prostates

  Spatial transcriptome sequence data from two tumour containing prostates. Entire cross section of organ divided into cubes to fit spatial transcriptomics arrays. The dataset contains paired-end sequences from 21 sections of 1k array sections and 9 sections of 10x Visium sections for patient 1 as well as 28 sections of 10x Visium sections for patient 2.

  Dataset EGAD00001008644

• FASTQ Data from In Situ Hi-C on Medulloblastoma Tissue Samples

  29 Hi-C datasets [8 G3 (MB3667, MB3687, MB3690, MB3692, MB3693, MB4010, MB4037, MB4141), 13 G4 (MB0558, MB3510, MB3670, MB3689, MB3716, MB3760, MB3761, MB3807, MB4079, MB4132, MB4174, MBSF7, SNC_2_5), 7 SHH (MB3612, MB3661, MB3662, MB3695, MB3697, MB3724, MB4143), and 1 WNT (MB4036)]. Fresh tissue samples were obtained from The Hospital for Sick Children (Toronto, ON). In situ Hi-C libraries were generated using approximately 2.5 million dissociated cells as input. All Hi-C libraries were sequenced at 150 bp PE with a Hi-Seq X instrument (Illumina) at McGill Genome Centre (Montreal, QC).

  Dataset EGAD50000000771

• RNA-seq data from 121 tumor samples with muscle invasive bladder cancer.

  In this study, a total of 300 patients with MIBC receiving chemotherapy were included; 62 received NAC before cystectomy and 245 received first-line chemotherapy upon detection of locally-advanced (T4b) or metastatic disease. Treatment response, defined as pathological downstaging (< pTa,CIS,N0) after NAC or complete or partial response after first-line treatment (RECIST criteria). RNA-seq was performed using the QuantSeq kit FWD HT kit (Lexogen) using 500 ng input RNA from 121 tumor samples. Data provided here consist of 780 fastq files for RNA-seq.

  Dataset EGAD00001006238

• The data access committee for Detecting Liver Cancer Using Cell-Free DNA Fragmentomes

  Dac EGAC00001003279

• DAC for the study of response to EGFR Blockade in Colorectal Cancer

  Dac EGAC00001000360

• Data Access Committee for the Centre National de Recherche en Génomique Humaine (CNRGH)

  Dac EGAC00001000723

• RNA Seq fastq files generated for the "Proteogenomic landscape of medulloblastoma subgroups"

  Dac EGAC00001000792

• DAC for study: Frequent mutation of the FOXA1 untranslated region in prostate cancer

  Dac EGAC00001000962

• DAC for Enhancer-gene rewiring in the pathogenesis of Quebec Platelet Disorder

  Dac EGAC00001001529

• Cancer Clinical Research Trust DAC for the 23 WES samples of melanoma subtypes

  Dac EGAC00001002402

• The Data Access Committee for Human Olfactory Mucosa Cells (DAC HOM) at UEF

  Dac EGAC00001003404

• This DAC will review all requests for data related to the dataset: EGAD00001015613.

  Dac EGAC00001003562

• Searching for genetic modulators of the phenotypic heterogeneity in Brugada Syndrome

  Study EGAS00001005848

• Identification of biomarkers for prediction of efficacy of microtubule inhibitors and antifolates in non-small cell lung cancer

  Identification of predictive markers based on transcriptome modules for microtubule inhibitors of lung adenocarcinoma patients

  Study JGAS000267

• Covacta RNAseq counts

  RNA-seq data from PAXgene extracted whole blood of patients enrolled in the COVACTA trial. This dataset includes read counts per gene. Read counts were generated for the Gencode v27 annotation using the summarize Overlaps method from bioC in mode “IntersectionStrict”

  Dataset EGAD00001011164

• CRUK Accelerator: Non-small cell lung cancer whole exome and RNA sequencing

  Whole exome and RNASeq raw sequencing data for a cohort 24 patients with non-small cell lung cancer, 15 adenocarcinoma (8 female, 7 male) and 9 squamous cell carcinoma(5 female, 4 male). Median age at diagnosis was 69. Tumour tissue and PBMCs were used for whole exome sequencing and RNA sequencing. This data was generated as part of a study funded by a Cancer Research UK Centres Network Accelerator Award Grant (A21998).

  Dataset EGAD00001007934

• Sequencing data for rare tumors and sarcomas

  This dataset contains DNA and RNA sequencing information for AML, Gliomas, brain tumors (medulloblastoma and ependymoma), DIPG, rhabdoid tumors and soft tissue sarcomas. In total 39 samples are present (14 matched normal, 25 tumor samples). Not all samples have matched normals and not all samples have RNA sequencing data..

  Dataset EGAD00001008974

• Exome sequencing of patients with rare neurological disorders

  Exome sequencing of patients and their families with diverse rare neurological disorders. Some families have prior linkage data identifying a specific chromosomal interval or interest, other families do not have linkage data available. Many of these families come from special populations whose demography or preference for consanguineous marriages make them particularly tractable for genetic studies.

  Study EGAS00001000159

• Study of the Human Skin Metagenome Associated with Acne

  Studies have emphasized the importance of disease-associated microorganisms in perturbed communities, however, the protective roles of commensals are largely under recognized and poorly understood. Using acne as a model disease, we investigated the determinants of the overall virulence property of the skin microbiota when disease- and health-associated organisms coexist in the community. By ultra-deep metagenomic shotgun sequencing, we revealed higher relative abundances of propionibacteria and Propionibacterium acnes phage in healthy skin. In acne patients, the microbiome composition at the species level and at P. acnes strain level was more diverse than in healthy individuals, with enriched virulence-associated factors and reduced abundance of metabolic synthesis genes. Based on the abundance profiles of the metagenomic elements, we constructed a quantitative prediction model, which classified the clinical states of the host skin with high accuracy in both our study cohort (85%) and an independent sample set (86%). Our results suggest that the balance between metagenomic elements, not the mere presence of disease-associated strains, shapes the overall virulence property of the skin microbiota. This study provides new insights into the microbial mechanism of acne pathogenesis and suggests probiotic and phage therapies as potential acne treatments to modulate the skin microbiota and to maintain skin health.

  Study phs001655

• Transcriptome sequencing of intravenous leiomyomatosis and uterine myoma

  Up to now, there are two hypothesis about the pathogenesis of the relationship of intravenous leiomyomatosis and uterine myoma. One theory suggests that the IVL comes from the smooth muscle cell in the vessel wall.The other theory indicates that the IVL derives from the uterine myometrium. However, limited to the technology, few studies have been deeply explore the underlying relation. In this study, we employ the RNA sequencing to explore the molecule relationship between IVL and uterus myoma. In order to identify the molecule relationship between IVl and uterine myoma we conducted transcriptome sequencing and bioinformaitc analysis

  Study EGAS00001002504

• Genomic profiles associated with response to immunotherapy in adolescent and young adult patients with melanoma

  The patterns of immune infiltration and treatment responses are unclear due to genomic and clinicopathological differences in AYA patients compared to those of older patients, and these patterns and differences may contribute to the lack of response to immunotherapy. This study fills the research gaps in understanding the molecular profiles of AYA melanoma and the key immunosuppressive signalling pathways contributing to tumour growth and resistance to immunotherapy

  Study EGAS50000000238

• Exome sequencing in bipolar disorder families

  In the present study two large, multiply affected bipolar disorder families from Cuba were investigated using whole exome sequencing (Illumina HiSeq2500 v4). The variant calling files (VCFs) of 15 individuals provided here were generated using the Varbank exome pipeline from the Cologne Center for Genomics (CCG, https://varbank.ccg.uni-koeln.de).

  Dataset EGAD00001004276

• Bulk RNAseq with monocyte spike-ins

  This dataset contains bulk transcriptomes from the operable cohorts of the LUD2015-005 study (NCT02735239, EudraCT 2015-005298-19), used to verify the deconvolution method used for the scRNA-seq dataset.

  Dataset EGAD00001010306

• Characterizing Disease-Causing Variants Using Personal Genomes with Large Recurrent Deletions

  Individuals with recurrent genomic deletions are known to present variable clinical phenotypes, despite the apparent identical range of the genomic segments being affected in their genomes. We propose to study the phenotypic variability and the molecular polymorphism in individuals with the recurrent 17q12 deletions or the recurrent 1q21.1 deletions, with the objective to establish causal relationship between the genotypes and the incompletely penetrant clinical phenotypes. Genome sequencing and phenotypic data from individuals with the deletions and their relatives are included in this submission.

  Study phs002613

• Stereotyped B-cell responses are linked to IgG constant region polymorphisms in multiple sclerosis

  Clonally related B cells infiltrate the brain, meninges, and cerebrospinal fluid of multiple sclerosis (MS) patients, but the mechanisms driving the B-cell response and shaping the immunoglobulin repertoires remain unclear. Here, we used single-cell full-length RNA-seq and B-cell receptor reconstruction to simultaneously assess the phenotypes, isotypes, constant region polymorphisms, and the paired heavy- and light-chain repertoires in intrathecal B cells. We detected extensive clonal connections between the memory B cell and antibody-secreting cell compartments and observed clonally related cells of different isotypes, including IgM/IgG1, IgG1/IgA1, IgG1/IgG2, and IgM/IgA1. There was a strong dominance of the G1m1 allotype constant region polymorphisms in antibody-secreting cells, but not in memory B cells. Tightly linked to the G1m1 allotype, we found a preferential pairing of the immunoglobulin heavy-chain variable (IGHV)4 gene family with the κ variable (IGKV)1 gene family. The IGHV4-39 gene was most used and showed the highest frequency of pairing with IGKV1-5 and IGKV1(D)-33. These results link IgG constant region polymorphisms to stereotyped B-cell responses in MS and indicate that the intrathecal B-cell response in these patients could be directed against structurally similar epitopes.

  Study EGAS00001005745

• Sanger sequencing analysis data using cfRNA from plasma samples in 6 cases, 10 samples, all from sarcoma.

  We examined the levels of cfRNA in the blood of patients with malignant bone and soft tissue tumours harbouring specific fusion genes, to explore the relationship between fusion gene expression in the blood and therapeutic response and disease status, and to validate the clinical utility of liquid biopsy.

  Study JGAS000787

• Genome-wide SNP and CNV analysis identifies common and low-frequency variants associated with severe early-onset obesity

  We performed SNP and copy number variation (CNV) association analyses in 1,509 children with obesity at the extreme tail (>3 s.d. from the mean) of the BMI distribution and 5,380 controls. The control samples were made available from the EGA with accession numbers EGAD00000000021 and EGAD00000000023.

  Study EGAS00001000878

• Somatic_mutation_and_clonal_evolution_in_the_human_pancreas___WGS

  In this study we aim to characterise the landscape of mutation and clonal selection in the human pancreas. The study combines targeted sequencing and whole-genome sequencing of microbiopsies from the pancreas. The range of patients studied will include healthy individuals, both smokers and non-smokers, and patients with pancreatic ductal adenocarcinoma.

  Study EGAS00001002626

• IYDP Indonesian Y chromosome Diversity Project

  Island Southeast Asia and Oceania host one of the world’s richest assemblages of human phenotypic, linguistic and cultural diversity. We compiled ~9.7 Mb of Y chromosome sequence from a diverse sample of over 380 men from this region, including 126 from Indonesian islands, first reported here. The granularity of this dataset allows us to fully resolve and date the regional Y chromosome phylogeny. This improved Y chromosome topology highlights localized events with important historical implications, including pre-Holocene contact between Mainland and Island Southeast Asia, ongoing interactions between Australia and the Papuan world, and a sustained period of diversification following the flooding of the ancient Sunda and Sahul continents as the insular landscape of today formed. The high-resolution phylogeny of the Y chromosome presented here thus enables a detailed exploration of past isolation, interaction and change in one of the world’s least understood regions.

  Study EGAS00001006028

• Long read data generated for de novo assembly

  Long read data generated for de novo assembly (PacBio and ONT FASTQ files)

  Dataset EGAD50000002367

• Single-cell RNA sequencing dissects gene-environment interactions on gene expression and regulation in immune cells.

  This study aims to dissect gene-environment interactions on gene expression and regulation in immune cells using scRNA-seq data from 120 donors being stimulated with 3 pathogens, for 2 different timepoints. More specifically, we identified context- and cell-type-specific eQTLs and co-expression QTLs in PBMCs.

  Study EGAS00001005376

• Spatial Dynamics of the Developing Heart (single-cell)

  Heart development relies on a topologically defined interplay between diverse cardiac cells. We finely curated spatial and single-cell measurements with high-resolution imaging-based transcriptomics validation to explore spatial dynamics during early human cardiogenesis. Analyzing almost 80,000 individual cells and 70,000 spatially barcoded tissue regions between the 5.5th and 14th postconceptional weeks, we identified 31 coarse- and 72 fine-grained cell states and mapped them to highly resolved cardiac cellular niches. We provide novel insight into the development of the cardiac pacemaker-conduction system, heart valves, and atrial septum, and decipher heterogeneity of the hitherto elusive cardiac fibroblast population. Furthermore, we describe the formation of the cardiac autonomic innervation and present the first spatial account of chromaffin cells in the fetal human heart. Our study, supported by an open-access, spatially centric interactive viewer, delineates the cellular and molecular architecture of the developing heart, offering links to genetic causes of heart disease.

  Study EGAS50000001029

• Spatial Dynamics of the Developing Human Heart

  Heart development relies on a topologically defined interplay between diverse cardiac cells. We finely curated spatial and single-cell measurements with high-resolution imaging-based transcriptomics validation to explore spatial dynamics during early human cardiogenesis. Analyzing almost 80,000 individual cells and 70,000 spatially barcoded tissue regions between the 5.5th and 14th postconceptional weeks, we identified 31 coarse- and 72 fine-grained cell states and mapped them to highly resolved cardiac cellular niches. We provide novel insight into the development of the cardiac pacemaker-conduction system, heart valves, and atrial septum, and decipher heterogeneity of the hitherto elusive cardiac fibroblast population. Furthermore, we describe the formation of the cardiac autonomic innervation and present the first spatial account of chromaffin cells in the fetal human heart. Our study, supported by an open-access, spatially centric interactive viewer, delineates the cellular and molecular architecture of the developing heart, offering links to genetic causes of heart disease.

  Study EGAS50000001122

• stem cell-derived beta cells from cell lines RC9 and HUES8

  stem cell-derived beta cells differentiated using two different cell lines: HUES8 (non-clinical grade) and RC9 (clinical grade). iPSC stem cell lines were differentiated to pancreatic islets using differentiation protocol as detailed by Rajaei et al. (2025, Science Translational Medicine, accepted for publication). scRNAseq was done at stage 7 of differentiation (day 30) using 10X genomics 3' sequencing. Cells were annotated then subsetted for beta cells for downstream analysis

  Dataset EGAD50000001322

• Total RNA-seq of CRPC and NEPC

  This dataset contains total RNA-seq of 10 patient samples: 5 castration resistant prostate cancer (CRPC) and 5 neuroendocrine prostate cancer (NEPC). Total RNA-seq was constructed using ribosomal RNA-depleted random hexamer-primed RNA library preparation kit and sequenced on Illumina at pair-end 150bp. Total RNA-seq allows for circular RNA and mRNA analyses. Each sample was sequenced on two separate lanes, therefore, two pairs of raw fastq files (4 files in total) are provided for each sample.

  Dataset EGAD50000001312

• SNU_WGS_AML

  This study includes 10 paired samples of Korean AML paitients.10 AML tumor samples are paired with each normal(Saliva or BM derived) sequencing data.The results of this WGS study were analyzed by Mutect and GATK for ranking germline variants and cancer variants to make mutational profile matrix.

  Study EGAS00001001906

• SNU_PROSPECTIVE

  This study includes 5 paired samples of Korean AML paitients. 5 AML tumor samples are paired with each normal(Saliva or BM derived) sequencing data.The results of this WES study were analyzed by Mutect and GATK for ranking germline variants and cancer variants to make mutational profile matrix.

  Study EGAS00001002154

• CD4+ T cell subsets stratified by complement receptor type 2 (CR2) expression

  FACS-sorted CR2+ and CR2- naive and memory CD4+ T cells from healthy donors, plus CR2+ naive CD4+ T cells activated using CD3/CD28 beads, were analyzed ex-vivo. Exome-enriched RNA sequencing was carried out for all subsets.

  Study EGAS00001001870

• Transcriptomic analysis of TFEB knockdown in LT-HSC.

  Long-term hematopoietic stem cells (LT-HSC) were sorted from human cord blood and cultured overnight before transduction with lentiviral vectors overexpressing an shRNA against Renilla (shCTRL) or TFEB (shTFEB). Six days later, mCherry+ transduced cells were sorted for RNA extraction and sequencing.

  Study EGAS00001004967

• Advanced molecular neuropathology to increase diagnostic accuracy in pediatric neurooncology

  To assess their utility in routine neuropathology, we prospectively integrated DNA methylation-based CNS tumor classification and targeted gene panel sequencing of tumor and constitutional DNA with blinded neuropathological reference diagnostics for a population-based cohort of > 1,200 newly-diagnosed pediatric patients.

  Study EGAS00001006680

• single cell RNASEQ files for Mullighan BiTE RNASEQ3

  single cell RNASEQ files for Mullighan BiTE RNASEQ3 paper titled "Tumor intrinsic and extrinsic mechanisms of response and resistance to blinatumomab in relapsed/refractory acute lymphoblastic leukemia"

  Dataset EGAD00001005733

• Breast implant-associated anaplastic large cell lymphoma shallow whole genome sequencing for copy number analysis and Whole exome sequencing data.

  Shallow whole genome sequencing of 29 BIA-ALCL patients for copy number analysis and 24 Alk-negative ALCL samples as control cohort. 7 Whole exome sequencing BIA-ALCL samples.

  Dataset EGAD00001006433

• WGS files for paper titled "Genomic Landscape and Clonal Architecture in Pediatric Myeloid Neoplasms with Chromosome 7 Deletions"

  WGS files for Klco paper titled "Genomic Landscape and Clonal Architecture in Pediatric Myeloid Neoplasms with Chromosome 7 Deletions"

  Dataset EGAD00001015490

• WXS files for paper titled "Genomic Landscape and Clonal Architecture in Pediatric Myeloid Neoplasms with Chromosome 7 Deletions"

  WXS files for Klco paper titled "Genomic Landscape and Clonal Architecture in Pediatric Myeloid Neoplasms with Chromosome 7 Deletions"

  Dataset EGAD00001015491

• RNASeq files for paper titled "Genomic Landscape and Clonal Architecture in Pediatric Myeloid Neoplasms with Chromosome 7 Deletions"

  RNASeq files for Klco paper titled "Genomic Landscape and Clonal Architecture in Pediatric Myeloid Neoplasms with Chromosome 7 Deletions"

  Dataset EGAD00001015492

• DAC for genomic data obtained within the Micrometastasis (Oslo1) project from Oslo, Norway

  Dac EGAC00001000558

• The Data Access Committee for Human Olfactory Mucosa Cells (DAC_HOM) at UEF

  Dac EGAC00001002527

• The EMC-NICHE DAC considers appeals for hematopoietic/niche-related data sets.

  Dac EGAC00001001897

• Translational Gastroenterology Unit, University of Oxford Data Access Committee for the EPIC-CD study

  Dac EGAC00001003481

• Data access committee for datasets generated by the Tampere University Computational Biology research group

  Dac EGAC50000000177

• Mesothelima_OSCHP_Files

  Oncoscan CHP files for the Mesothelemia Project

  Dataset EGAD00010001540

• Integrative understanding of human immune system by functional genomics and development of intervention strategies for the prevention of autoimmune diseases

  Various peripheral blood immune cell subsets from 89 healthy volunteers and 136 systemic lupus erhythematosus (SLE) donors were collected (Naive_CD4, Mem_CD4, Th1, Th2, Th17, Tfh, Fr._I_nTreg, Fr._II_eTreg, Fr._III_T, Naive_CD8, EM_CD8, CM_CD8, TEMRA_CD8, NK, Naive_B, USM_B, SM_B, DN_B, Plasmablast, CL_Mono (or CD16n_Mono), CD16p_Mono, Int_Mono, NC_Mono, mDC, pDC, Neu, LDG). 22 SLE donors were analyzed longitudinally. RNA-seq was performed with each immune cell subset samples. After gene expression quantification samples were filtered.

  Study JGAS000486

• Exome sequencing of 142 gastric cancer and matched normal from Japanese cohorts (UT)

  As a contribution to the International Cancer Genome Consortium, exome sequencing of 142 Japanese gastric cancer with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer. Please refer ICGC website for detail: http://icgc.org/icgc/cgp/69/420/1012357

  Dataset EGAD00001004041

• Exome sequencing of 102 gastric cancer and matched normal from Japanese cohorts (YCU)

  As a contribution to the International Cancer Genome Consortium, exome sequencing of 102 Japanese gastric cancer with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer. Please refer ICGC website for detail: http://icgc.org/icgc/cgp/69/420/1012357

  Dataset EGAD00001004042

• Picuris Pueblo Genomic Project – Modern Dataset

  Please refer to the Supplemental Materials of the paper for more information.

  Dataset EGAD50000001245

• Amplicon–Based Metagenomic Analysis.

  Amplicon-based fungal metagenomic sequencing for the identification of fungal species in brain tissue from Alzheimer's disease. The study consists in 14 samples, sequenced using Illumina's paired-end technology.

  Dataset EGAD00001003196

• ORCADES 15x (2019-07-23)

  15x whole genome sequencing in samples from the isolated population of Orkney. This dataset contains all the data available for this study on 2019-07-23.

  Dataset EGAD00001005194

• FPKM expression values of the CUP/reference/validation cohort (H021)

  FPKM expression values of the CUP/reference/validation cohort used for tissue-of-origin prediction based on transcriptomic data

  Dataset EGAD00001008638

• RODAM cohort

  The RODAM study assesses the health and wellbeing of Ghanaian residents in Ghana and Europe and follows them up over time. With this unique approach the RODAM study attempts to unravel the causes of cardiovascular disease and its risk factors among African migrants in Europe and non-migrants sub-Saharan Africa. Fecal samples from RODAM participants in rural, urban Ghana and Amsterdam, the Netherlands were sequenced using 16S rRNA sequencing to assess gut microbiome differences between research sites.

  Study EGAS50000000805

• GenomeAsia 100K Project: Human DNA samples collecting and whole genome sequencing of Asian populations

  The number of basal divergences, admixture, and the degrees of isolation among Indigenous North Eurasian and Native South American populations remain debated, with most insights derived from genome-wide genotyping data. This study aims to improve our understanding of the ancient dynamics and shaping of the contemporary populations of North Eurasia and the Americas. Using large-scale whole-genome sequencing of 1,537 individuals across 139 ethnic groups from these regions, we identify population structures, clarify the prehistoric migrations and the role of past environments in the diversification of human populations.

  Study JGAS000781

• Genotype data of human CD4 Treg cell

  Genotype data obtained using the coreExome Illumina SNP chip array for all the individuals included in the study of gene expression regulation in human primary regulatory CD4+ T cells (Tregs)

  Dataset EGAD00010001848

• Chromatin Profiling in Twins (2019-08-21)

  50 lymphoblastoid cell lines of adult female Twins which are part of the MuTHER study, processed with the FAIRE assay in order to generate maps of open chromatin. . This dataset contains all the data available for this study on 2019-08-21.

  Dataset EGAD00001005273

• GATCI whole exome germline variants

  Exome sequences were aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK Haplotype Caller to generate germline variant calls. Variant calls are in VCF format. Details for the call can be found in the VCF header

  Dataset EGAD00001005916

• GATCI whole exome somatic variants (MuTect)

  Exome sequences were aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK/MuTect, to generate somatic variant calls. Somatic variant calls are in VCF format. Details for the mutect call can be found in the vcf header.

  Dataset EGAD00001005917

• GATCI whole exome somatic variants (SomaticSniper)

  Exome sequences were aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK/SomaticSniper, to generate somatic variant calls. Somatic variant calls are in VCF format. Details for the mutect call can be found in the vcf header.

  Dataset EGAD00001005918

• A study of the immune system in patients with peripheral inflammatory neuropathy (CIDP): RNA adult (2025-10-02)

  Leveraging single-cell sequencing technologies to shed light on the immune aetiology of chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) . This dataset contains all the data available for this study on 2025-10-02.

  Dataset EGAD00001015725

• WXS files for Zhang PanNBL

  WXS files for Zhang PanNBL paper titled "Pan-neuroblastoma analysis reveals age- and signature-associated driver alterations"

  Dataset EGAD00001005484

• WGS fastq for EGAS00001004572

  Bulk WGS fastq files for germline and tumours in EGAS00001004572.

  Dataset EGAD00001006902

• Lymphoctye_colony_WGS

  We study lymphocyte somatic evolution through the sequencing of normal healthy lymphocytes. We perform whole-genome sequencing of single-cell derived T and B cell colonies to identify somatic mutations, and perform targeted deep-sequencing of these mutations. The lineages of T and B cells, and the frequencies of these mutations reveals the neutral and non-neutral evolutionary processes underlying lymphocyte growth and function.

  Study EGAS00001002948

• Feasibility and Clinical Utility of Whole Genome Profiling in Pediatric and Young Adult Cancers

  Comprehensive Whole Genome Sequencing and Whole Transcriptome (RNASeq) analyses from 114 pediatric patients at Memorial Sloan Kettering. This dataset was used as a prospective clinical utility and feasibility study. By using our Isabl infrastructure for precision medicine, we developed a 2-week end-to-end pipeline to analyze cfDNA, WGS and WTS, which we refer to as cWGTS.

  Study phs002620

• Framome cancer samples

  Cancer samples for neo-open reading frame peptides that comprise the tumor framome are a rich source of neoantigens for cancer immunotherapy.

  Dataset EGAD50000000420

• Single Cell RNA Seq GBM

  Single Cell RNA sequencing for 4 high grade glioma samples. NovaSeq6000 was used for snRNA Seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005369

• Single Cell RNA Seq LGG

  Single Cell RNA sequencing for 5 low grade glioma samples. NovaSeq6000 was used for scRNA Seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005368

• Amplicon Sequencing for 'Early evolutionary branching across spatial domains predisposes to clonal replacement under chemotherapy in neuroblastoma'

  BAMs from deep sequencing using a custom panel for the study 'Early evolutionary branching across spatial domains predisposes to clonal replacement under chemotherapy in neuroblastoma'

  Dataset EGAD00001015012

• The analysis of gene mutations in Hematology malignancy

  We analysed the mutations of target genes regarding malignant lymphoma and myeloma to investigate the relationships between clonal evoutions and disease status. The gene mutation analyses using NGS at the point of diagnosis and relapse or proceeding disease.

  Study JGAS000232

• Sensitivity to the Subjective Effects of Amphetamine

  The goal of this study was to identify SNPs associated with subjective, physiological, and behavioral responses to d-amphetamine. The study was double-blind and placebo-controlled. 381 healthy volunteers aged 18-35 years old received oral doses of d-amphetamine (10 and 20 mg) and placebo over the course of three different phenotyping sessions. A subset of subjects received a fourth dose of d-amphetamine (5 mg). Measures of subjective, cardiovascular and behavioral responses were obtained at regular intervals (pre-drug administration and 30, 60, 90, 150, and 180 minutes post-drug administration). The subjective measures included in the study were the Profile of Mood States (POMS), Drug Effects Questionnaire (DEQ) and Addiction Research Center Inventory (ARCI). Tasks included were the Digit Symbol Substitution (DSST) and Stop Task.

  Study phs000832

• Papuan Y chromosome Diversity Panel

  Island Southeast Asia and Oceania host one of the world’s richest assemblages of human phenotypic, linguistic and cultural diversity. Despite this, the region’s male genetic lineages are globally among the last to remain unresolved. We compiled ~9.7 Mb of Y chromosome sequence from a diverse sample of over 380 men from this region, including 152 first reported here. The granularity of this dataset allows us to fully resolve and date the regional Y chromosome phylogeny. This new high-resolution tree confirms two main population bursts: multiple rapid diversifications following the region’s initial settlement ~50 kya, and extensive expansions <6 kya. Notably, ~40-25 kya the deep rooting local lineages of C-M130, M-P256, and S-B254 show almost no further branching events in Island Southeast Asia, New Guinea and Australia, matching a similar pause in diversification seen in maternal mitochondrial DNA lineages. The main local lineages start diversifying ~25 kya, at the time of the Last Glacial Maximum. This improved Y chromosome topology highlights localized events with important historical implications, including pre-Holocene contact between Mainland and Island Southeast Asia, potential interactions between Australia and the Papuan world, and a sustained period of diversification following the flooding of the ancient Sunda and Sahul continents as the insular landscape observed today formed. The high-resolution phylogeny of the Y chromosome presented here thus enables a detailed exploration of

  Study EGAS00001006025

• Data access committee handling data access requests for biomarker data from the clinical trial IMmotion150.

  Dac EGAC00001000946

• The data access committee for genome-wide cell-free DNA fragmentation in patients with cancer

  Dac EGAC00001001180

• DAC Committee for the "PIK3CA mutation in a case of CTNNB1 mutant sinonasal glomangiopericytoma" study

  Dac EGAC00001002371

• DAC Endoresist

  Data access committee for the Endoresist project of panel sequencing: Professor Johan Hartman

  Dac EGAC50000000174

• CReATe Fertility Centre DAC

  DAC for the management of dataset own by CReATe Fertility Centre.

  Dac EGAC50000000646

• Pan Prostate Cancer Group Data Access Control Committee

  DACC for the PanProstate Cancer Group projects

  Dac EGAC50000000602

• MOSAIC Window DAC

  Data Access Committee for the MOSAIC Window initiative.

  Dac EGAC50000000398

• A method for multiplexed full-length single-molecule sequencing of the human mitochondrial genome

  Study EGAS00001006280

• Genomics of Malignant Peripheral Nerve Sheath Tumor (MPNST)

  The Genomics of MPNST (GeM) Consortium dataset includes de-identified whole genome sequencing data (.bam) for germline samples (DNA primarily derived from blood) sequenced at standard (30x) coverage (n=88) and for tumor samples (DNA derived from fresh frozen tissue) sequenced at 90x coverage (n=105). This dataset also includes transcriptome profiling data (.fastq) for paired normal nerve samples (n=7) and for tumor samples (n=132).

  Dataset EGAD00001008608

• High-throughput 3D engineered paediatric tumour models for precision medicine

  Paired fastqs for DNA and RNA from Illumina TSO500 targeted sequencing from PDX.

  Dataset EGAD00001015753

• Comparison between phenotypic-defined stage of blasts and transcriptional profile

  Established a proof-of-concept methodology with potential integration into flow cytometry software for objective AML subtype classification based on blast differentiation, offering valuable prognostic insights for elderly patients.

  Study EGAS50000000336

• WGS data for cfDNA cohort

  Whole genome sequencing data for 423 samples, including diagnosis and germline, across multiple cancer types for cfDNA cohort

  Dataset EGAD50000000102

• WES dataset for cfDNA cohort

  Whole exome sequencing data for 457 samples, including diagnosis and germline sample, across multiple cancer types for cfDNA cohort

  Dataset EGAD50000000103

• Single cell RNA sequencing of human umbilical cord blood lymphoid progenitors

  We performed single cell RNA sequencing of human umbilical cord blood. To explore the differentiation pathway for human lymphoid lineage deeply, our target cells contain CD34+CD38+CD45RA+CD19-CD7-CD10+ cells (CD10SP). All these populations are evaluated by single cell RNA sequencing.

  Study JGAS000551