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• Tissue DNA, WBC DNA and cfDNA (deep-)sequencing of mCRC patients treated with doublet chemotherapy and anti-EGFR in the CAIRO5 study

  This study assessed whether ctDNA based treatment response monitoring could be performed in a tumor tissue-independent manner by combining ultra-deep targeted sequencing analyses of cfDNA with patient-matched white blood cell (WBC) derived DNA. In total, 183 cfDNA and 49 WBC samples, along with 28 tissue samples, from 52 metastatic colorectal cancer patients participating in the prospective phase III CAIRO5 clinical trial (NCT02162563) were analyzed using the PGDx elio plasma resolve assay.

  Study EGAS00001006695

• Roche multiple sclerosis dataset

  The Roche multiple sclerosis dataset (Roche_MS) consists of 166 cortical grey matter (GM) and white matter (WM) samples from 83 unique individuals (29 controls and 54 cases). A total of 12,000 estimated cells from each sample were loaded on the 10x Single Cell Next GEM G Chip. cDNA libraries were prepared using the Chromium Single Cell 3’ Library and Gel Bead v3 kit according to the manufacturer’s instructions. cDNA libraries were sequenced using the Illumina NovaSeq 6000 System and NovaSeq 6000 S2 Reagent Kit v1.5 (100 cycles), aiming at a sequencing depth of minimum 30K reads/nucleus.

  Dataset EGAD00001009169

• human placenta snRNA-seq (n=12)

  This dataset include the snRNA-seq raw sequencing files from the placentas of 4 normal weight control and 8 obese individuals. The files are paired-end fastq files. The snRNA-seq libraries were generated with Chromium Single Cell 3’ kit v3.1 (10X Genomics) and sequenced on Illumina NovaSeq 6000 at Novogene, UK.

  Dataset EGAD50000001222

• Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution

  This whole-section GeoMx Digital Spatial Profiler (DSP) dataset was a part of the discovery cohort in the study. The dataset contains raw FASTQ files from Regions of Interest (ROIs) across complete tumor tissue sections, enabling detection of 18,000 protein-coding genes. GeoMx DSP data from 1063 ROIs (after QC) from 15 GCs were included in the datasets.

  Dataset EGAD50000000500

• Monotherapy_Breast_Cancer

  These samples are from locally advanced breast cancers that have been treated with epirubicin monotherapy before surgery. We will sequence some samples from patients with good response to the therapy and some with poor response to the therapy.

  Study EGAS00001000165

• Mutational_burden_in_oesophagus_following_chemotherapy_and_radiotherapy_treatment_WGS

  We wish to assess the changes in signature and mutational burden in patients who have undergone either chemotherapy or chemotherapy + radiotherapy. Using duplex sequencing will assess the mutational landscape in oesophageal epithelia in patients who have undergone these treatment regimes.

  Study EGAS00001007415

• G3BP2-KIT drives leukemia amenable to kinase inhibition in Ph-like ALL

  We describe a patient with Ph-like ALL, in which leukemic cells harbored an in-frame fusion between the GTPase-activating protein (SH3 domain)-binding protein 2 (G3BP2) and the KIT proto-oncogene.

  Study EGAS00001005181

• Variants from a subset of genes from WES of adult AML patient samples

  The aim if this study was to identify variants in a specific list of genes in samples from adult AML patients. The gene list includes DNA repair and mitochondrial respiratory chain genes.

  Study EGAS00001006185

• HipSci_RNASEQ_Usher syndrome and congenital eye defects

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we perform RNAseq on iPS lines from Usher syndrome and congenital eye defects.

  Study EGAS00001001997

• Whole genome and whole exome sequencing of epilaptic patients

  In this project, we aim to identify genetic changes that predispose to epilepsy and those that predict the response to various anti-epileptic drugs. We sequenced whole genomes and whole exomes of epileptic individuals with different range of response to anti-epileptic drugs, and their relatives.

  Study EGAS00001002825

• The Role of GPD1L in the Pathogenesis of Brugada Syndrome

  This study performed exome sequencing on a proband with Brugada Syndrome, as well as high-density SNP array data from the proband, affected family members, and unaffected family members. The principal findings of this study were the identification of GPD1L-A280V as the only plausible variant present in a linkage region on chromosome 3, which co-segregated with the Brugada Syndrome phenotype in this family. Exome sequencing data of the proband, as well as SNP array data from the family, are available.

  Study phs003468

• Gut microbiota analysis after 3months probiotic-like bacteria or placebo treatment in subjects with metabolic syndrome

  Background: Probiotic-like bacteria treatment has been described to be associated with gut microbiota modifications. Goal: To decipher if the effects of the tested probiotic-like bacteria are due to the bacteria itself or due to the effects of the bacteria on the gut microbiota. Methodology: In this study, gut microbiota has been analyzed from feces samples of subjects with metabolic syndrome and treated with one of the 2 tested probiotic-like bacteria or with the placebo during 3months.

  Study EGAS00001003585

• Whole Exome Sequencing

  The objective of this study was to better understand the molecular changes occurring in tumors during development of ICB (immune checkpoint blockade) resistance. Here, we performed Whole Exome Sequencing (WES) on biopsies from a cohort of melanoma patients after progression on anti-CTLA4 or anti-PD1 monotherapy and matched normal samples. Genetic alterations of antigen presentation and interferon gamma signaling pathways were observed in approximately 25% of ICB resistant cases.

  Study EGAS50000000259

• HipSci HumanHT 12v4 Expression BeadChip analysis-Rare_BBS

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed Expression analysis using the Illumina HumanHT -12 Expression BeadChip on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with Bardet-Biedl syndrome.

  Study EGAS00001001276

• HipSci HumanHT 12v4 Expression BeadChip analysis - monogenic diabetes

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed Expression analysis using the Illumina HumanHT -12 Expression BeadChip on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with monogenic diabetes.

  Study EGAS00001001277

• HipSci HumanHT 12 Expression BeadChip analysis - Hereditary Spastic Paraplegia

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed Expression analysis using the Illumina HumanHT -12 Expression BeadChip on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with Hereditary Spastic Paraplegia.

  Study EGAS00001002021

• Mutational profiling of LUAD in young never-smokers

  NSCLC has been recognized as a highly heterogeneous disease with phenotypic and genotypic diversity in each subgroup. In this study, we conducted whole genome sequencing (WGS) to characterize the genomic alterations of 36 never-smoker Chinese patients with lung adenocarcinomas (LUADs). Our study provides a detailed mutational portrait of LUADs occurring in young never-smokers and gives insights into the molecular pathogenesis of this NSCLC subgroup

  Study EGAS00001002773

• HipSci HumanHT 12 Expression BeadChip analysis - Hereditary Cerebellar Ataxias

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed Expression analysis using the Illumina HumanHT -12 Expression BeadChip on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with Hereditary Cerebellar Ataxias.

  Study EGAS00001002020

• HipSci HumanHT 12 Expression BeadChip analysis - Primary immune deficiency

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we performed Expression analysis using the Illumina HumanHT -12 Expression BeadChip on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with Primary immune deficiency.

  Study EGAS00001002027

• 46 patients primary malignant glioma cohort in Chinese population

  We recruited 46 Chinese patients with primary malignant glioma. All the patients were analyzed with whole-exome sequencing (WES) and 27 of them were analyzed with RNA-seq. We compared the molecular features between patients in different WHO grades. We used six-month progression-free survival (PFS6) status to group glioblastoma (GBM) patients to a good and a poor survival compared two groups genomic profiles.

  Study EGAS00001005583

• Genomic and immune signatures predict clinical outcome in newly diagnosed multiple myeloma treated with immunotherapy regimens

  In this study we performed whole genome sequencing on matched tumor-normal CD138+ bone marrow mononuclear cells from 60 patients with newly diagnosed multiple myeloma treated with daratumumab, carfilzomib, lenalidomide, and dexamethasone (NCT03290950-MANHATTAN trial). In addition, we performed 5’-single-cell RNA-sequencing (10X Genomics) coupled with V(D)J sequencing and capture of the surface protein markers (TotalSeq-C, Biolegend) of the CD138- bone marrow mononuclear cells to interrogate the composition of the immune microenvironment at baseline and after eight cycles of induction therapy in 22 patients with newly diagnosed multiple myeloma. Samples were multiplexed using hashtag oligo.

  Dataset EGAD00001011132

• A cycling, progenitor-like cell population at the root of atypical teratoid rhabdoid tumor subtype differentiation trajectories.

  Background: Atypical teratoid rhabdoid tumors (ATRTs), characterized by the loss of SMARCB1, are among the most lethal pediatric central nervous system (CNS) tumors. Three molecular subtypes have been identified, each defined by distinct molecular and clinical features. No subtype-specific treatments are available, highlighting the necessity to better understand inter- and intra-subtype heterogeneity. Methods: We generated a single-nucleus transcriptome atlas of ATRTs, validated by single-cell ATAC-seq and spatial transcriptomics, to study subtype-specific differentiation trajectories. Results: We identified brain progenitor-like expression profiles within unique subtype-specific differentiation lineages. A shared cycling, progenitor-like cell population, interspersed throughout tumors, was observed across all ATRT samples. Moreover, we demonstrate that subtype-specific differentiation trajectories can be induced pharmacologically in ATRT tumoroids directing tumor cells towards a non-proliferative, mature phenotype. Conclusions: Our study reveals that ATRT subtypes exhibit signaling trajectories mirroring normal fetal brain development, enabling the development of maturation therapies tailored towards ATRTs.

  Study EGAS00001008108

• GINS3 fibroblast RNAseq

  The eukaryotic CDC45/MCM2-7/GINS (CMG) DNA helicase unwinds the DNA double helix during DNA replication. We report the identification of individuals presenting with a Meier-Gorlin syndrome (MGS) like phenotype, secondary to hypomorphic variants in the GINS3 gene.  To verify whether the GINS3 variant affected the transcriptome, RNA-seq was performed from 3 fibroblast cultures derived from a patient with compound heterozygous GINS3 variants, and 1 replicate of fibroblasts derived from each of the two parents.

  Study EGAS00001006038

• Genomic characterization of a patient with AGS and CdLS transcriptomic comparison of his monocytes against healthy and disease control samples

  In this study, we describe an extreme genetic phenotype of two simultaneous genetic lesions, leading to broad alterations in immunophenotype and transcriptome. Whole Exome Sequencing and RNA-Sequencing of CD14+ monocytes was performed on the case patient, and RNA-sequencing was also performed on disease (Systemic Lupus Erythematosus) and healthy controls.

  Study EGAS00001007829

• Gene expression in brain (Schizophrenia) study

  The study included post-mortem brain tissue samples from 68 schizophrenia patients and 44 age and sex matched control subjects. Whole transcriptome poly-A selected paired-end RNA sequencing was performed on tissue from prefrontal cortex and orbitofrontal cortex. RNA expression differences were detected between case and control individuals, focusing both on single genes and pathways.

  Study EGAS00001004199

• The evolutionary landscape of colorectal tumorigenesis

  The genetic events that cause colorectal adenomas to progress to carcinomas remain largely undetermined. Using multi-region genome/exome sequencing of 24 benign and malignant colorectal tumours, we probe the evolutionary fitness landscape occupied by these neoplasms. Unlike carcinomas, advanced adenomas frequently harbour sub-clonal driver mutations, hence lack selective sweeps, and have relatively high genetic heterogeneity. Carcinomas are distinguished from adenomas not by nucleotide-level mutations (drivers or burden), but by widespread aneusomies that are usually clonal and often accrue in a “punctuated” fashion. Adenomas evolve across an undulating fitness landscape, whereas carcinomas occupy a sharper fitness peak, probably owing to stabilising selection.

  Study EGAS00001003066

• Single cell and whole tissue transcriptomes investigating Barrett's oesophagus

  Data consists of 4,640 RNA-sequencing sample libraries. These libraries were sequenced from four sites of the upper gastro-intestinal tract (Barrett’s oesophagus, proximal normal oesophagus, proximal normal stomach, and duodenum) in two experiments. 4,587 libraries were produced in the first experiment in which whole transcriptomes were isolated single cells dissociated from endoscopic biopsy tissue obtained from the four previously mentioned tissues. The other 53 libraries were produced in the second experiment in which whole transcriptomes were isolated from whole tissue from endoscopic biopsies of the four previously mentioned tissues. The data found here are stored in the raw fastq file format from paired end sequencing.

  Dataset EGAD00001004344

• Whole exome sequencing, RNA sequencing and single-cell RNA sequencing of 4 melanoma patients

  We perfomed whole exome sequencing and RNA sequencing of 4 melanoma patients to assess the detailed biological mechanisms of resistance to immune checkpoint inhibitors.

  Study JGAS000285

• Whole Exome Sequencing of Bipolar cases and matched a cohort from Edinburgh, Scotland, UK

  Whole Exome Sequencing of 1260 Bipolar cases and matched controls performed at the Broad Institute on a cohort from Edinburgh, Scotland, UK. The exome used Twist capture and samples were sequenced on Illumina HiSeqX machines producing cram files

  Dataset EGAD50000000623

• Exome sequencing of 3 blood samples from tall man and his parents

  Exome sequencing was carried out in a tall male (height 3.5 SDS) and his parents (3 samples). The data was sequences on a Illumina Hiseq2000 and the library was prepared with Agilent SureSelect V4.

  Dataset EGAD00001007767

• Germline alterations of acute myeloid leukemia

  Germline variants may increase the risk of cancer. A systematic analysis was conducted of a consecutive series of primary and secondary adult acute myeloid leukemia (AML) patients. Exome sequencing was performed on leukemic blasts (somatic) and a skin biopsy (germline) followed by analysis on 35 acute myeloid leukemia or cancer predisposition candidate genes. Exome data were available from 68/80 (85%) patients, and full clinical history was available from all patients. The analysis revealed 34 rare single-nucleotide variants or short indels in 16 genes to be functionally adverse in silico.

  Study EGAS00001002760

• Gene expression profiling of nasopharyngeal carcinoma

  We retrospectively collected 150 non-metastatic, pretreatment, formalin-fixed, paraffin-embedded (FFPE) nasopharyngeal carcinoma (NPC) samples as validation cohort 1. Also, we prospectively collected 32 FFPE samples from NPC patients enrolled in a trial evaluating anti-PD-1 antibody as validation cohort 2. Total RNA was extracted and hybridised to an Affymetrix HTA 2.0 microarray. In this study, we investigated the immune status of the tumour microenvironment (TME) based on gene expression profiles to classify NPC into biologically distinct immune subtypes, and clarify their associations with prognosis and immunotherapy response.

  Study EGAS00001004542

• Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild type primary glioblastoma

  We stratified 69 primary IDH-wt GBM patients into TMZ-resistant (n = 29) and sensitive (n = 40) groups, using TMZ screening of the corresponding patient-derived glioma stem-like cells (GSCs). Genomic and transcriptomic features were then examined to identify TMZ-associated molecular alterations. Subsequently, we developed a machine learning (ML) model to predict TMZ response from combined signatures. Moreover, TMZ response in multisector samples (52 tumor sectors from 18 cases) was evaluated to validate findings and investigate the impact of intra-tumoral heterogeneity on TMZ efficacy.

  Study EGAS00001006989

• Comprehensive genetic analysis of Epstein-Barr virus-associated hematological malignancy

  Comprehensive genetic analyses including whole-exome sequencing, targeted sequencing, and whole-genome sequencing of the human genome and the Epstein-Barr virus (EBV) genome were performed to reveal the molecular pathogenesis of EBV-associated hematological malignancy.

  Dataset EGAD00001004286

• Single nucleus and in situ RNA sequencing reveals cell topographies in the human pancreas

  To investigate the cellular composition of the human pancreas, we performed single-nucleus sequencing from snap frozen biopsies of pancreata from adult, neonatal and diseased (chronic pancreatitis) human donors.

  Dataset EGAD00001006396

• McGill Reproductive Genetics Data Access Committee

  Committee at RI-MUHC (Slim Lab) that reviews requests for controlled human genetic/phenotypic data generated in reproductive genetics/infertility studies. Ensures requests comply with participant consent, ethics approvals, and institutional policies.

  Dac EGAC50000000775

• DNA-Methylation data for atypical teratoid/rhabdoid tumoroids study

  We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles

  Dataset EGAD00010002400

• Genetic and transcriptomic landscape of DLBCL

  Affymetrix SNP6.0 data for 341 DLBCL patients

  Dataset EGAD00010001980

• PMBCL IL4R DASL

  Expression data for 42 PMBCL patient samples (32 IL4R WT cases and 10 cases with mutations in IL4R)

  Dataset EGAD00010001542

• Sequencing data for oesophageal and related samples - cell-lines (WGS)

  Dataset EGAD00001015467

• HIV exome pilot, exome data part 2 GRCh37_53

  exome sequence data for 25 HIV elite long term non-progressors and rapid progressors. Partial dataset (overlap with EGAD00001000047) of raw BAMs mapped to GRCh37_53.

  Dataset EGAD00001000087

• BGI study for primary and metastatic Chinese lung adenocarcinomas

  We sequenced 292 patients who were suffering NSCLC with Whole genome sequencing or Exome sequencing method.

  Dataset EGAD00001001397

• ICGC Benchmark 2 (Medulloblastoma)

  Raw fastq files for sequence data generated at 5 sequencing centers from a Medulloblastoma sample and matching blood normal control.

  Dataset EGAD00001001859

• HIV exome pilot, exome data part 1 GRCh37_53

  exome sequence data for 49 HIV elite long term non-progressors and rapid progressors. Partial dataset (overlap with EGAD00001000087) of raw BAMs mapped to GRCh37_53.

  Dataset EGAD00001000047

• CBD-RAW-CLINVAR: Clinical metadata

  Anonymised patient metadata and associated data dictionary. For further information regarding this dataset, please contact Alexander Mentzer at contact@combat.ox.ac.uk.

  Dataset EGAD00001007931

• Single-cell profiling reveals mechanisms of response to anti-PD-L1 versus anti-PD-L1 combined with anti-CTLA4 in head and neck squamous cell carcinoma

  Cancer patients often receive a combination of PD-(L)1 and CTLA4 inhibitors, but the mechanisms underlying their concerted actions remain unclear. We conducted a neoadjuvant study in head and neck squamous cell carcinoma (HNSCC) involving anti-PD-L1 monotherapy versus anti-PD-L1/anti-CTLA4 combination. Single-cell profiling of on- versus pre-treatment biopsies confirmed T-cell expansion as response biomarker. We identified a type 1 immune response accompanying T-cell expansion on-treatment across treatment arms, and herein characterized co-localized IgG plasma cell expansion as important contributor. In pre-treatment biopsies, similar features correlated with expansion upon anti-PD-L1, but not anti-PD-L1/anti-CTLA4. By profiling tumor-draining lymph nodes, we found the addition of anti-CTLA4 to trigger activation and subsequent trafficking of CD4+ T-cells via the blood, to become T-helper 1 cells in the tumor. anti-PD-L1/anti-CTLA4 indeed facilitated co-localized expansion of CD4+ and CD8+ T-cells in tumors versus mostly CD8+ T-cells with anti-PD-L1 alone. Hence, we identify complimentary mechanisms underlying anti-PD-L1/anti-CTLA4 therapy in HNSCC.

  Study EGAS50000000037

• Partially methylated domains across multiple cell types

  Partially methylated domains are extended regions in the genome exhibiting a reduced average DNA methylation level. They cover gene poor and transcriptionally inactive regions and tend to be heterochromatic. We present a comprehensive comparative analysis of partially methylated domains in human and mouse cells, to identify structural and functional features associated with them.

  Study EGAS00001003157

• Progressive supranuclear palsy - bulk RNA seq of prefrontal cortex

  Dataset corresponding to the bulk RNA-seq dataset from prefrontal cortex for a total of N=42 samples. Tissue samples correspond to donors with pathologically confirmed progressive supranuclear palsy. RNA-seq was carried out using ribosomal depletion. Dataset contains paired fastq files, sample metadata and downstream quantification files. Quantification was performed with salmon v1.3.0 with Gencode 35 (GRCh38.p13).

  Dataset EGAD50000002623

• Multiple system atrophy - bulk RNA seq of prefrontal cortex

  Dataset corresponding to the bulk RNA-seq dataset from prefrontal cortex for a total of N=35 samples. Tissue samples correspond to donors with pathologically confirmed multiple system atrophy. RNA-seq was carried out using ribosomal depletion. Dataset contains paired fastq files, sample metadata and downstream quantification files. Quantification was performed with salmon v1.3.0 with Gencode 35 (GRCh38.p13). N=6 samples are overlapping with EGAS50000000301.

  Dataset EGAD50000002624

• Alzheimer's disease - bulk RNA seq of prefrontal cortex

  Dataset corresponding to the bulk RNA-seq dataset from prefrontal cortex for a total of N=72 samples. Tissue samples correspond to donors with pathologically confirmed Alzheimer's disease. RNA-seq was carried out using ribosomal depletion. Dataset contains paired fastq files, sample metadata and downstream quantification files. Quantification was performed with salmon v1.3.0 with Gencode 35 (GRCh38.p13).

  Dataset EGAD50000002625