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• HiChIP for 2 samples

  This dataset contains H3K27ac HiChIP data from ta primary sample and a patient derived model (PDX) of the novel FOXF1/FENDRR ALL subtype. All the 2 samples are in bam file type.

  Dataset EGAD50000001787

• Characterizing Immune Profiles in Extrapulmonary Tuberculosis via RNA Sequencing

  This dataset provides insight into the immune response in extrapulmonary tuberculosis (EPTB), using bulk RNA-seq data to analyze different disease severities. Hierarchical clustering identified three distinct levels of severity, revealing disease progression driven by interferon and IL-1β-mediated signaling. Additionally, the dataset helped develop a diagnostic gene expression signature for both EPTB and pulmonary TB.

  Dataset EGAD50000000943

• Liquid biopsy for molecular characterization of diffuse large B-cell lymphoma and early assessment of minimal residual disease

  Genomic data from Diffuse-large B-cell lymphomas at diagnosis and during the treatment. The processed samples were : -Circulating tumor DNA: at diagnosis and after2-cycles of treatment. -Tumour lymph node at diagnosis -Genomic DNA

  Dataset EGAD50000000310

• Infant Spindle Tumour Study (2019-04-11)

  We aim to describe the transcriptomic landscape of infant spindle cell tumours. . This dataset contains all the data available for this study on 2019-04-11.

  Dataset EGAD00001004954

• Whole-exome sequences of ovarian clear cell carcinomas and paired normal DNA

  Whole-exome sequencing dataset for the Australian Ovarian Cancer Study (AOCS) and The Jikei University School of Medicine (JIKEI) ovarian clear cell carcinoma (OCCC) clinical outliers project, representing 10 donors. Consists of 20 fastq files: one normal and one tumour from each patient.

  Dataset EGAD00001006004

• Feb2020 interim Genes and Health (28k) GSA imputed genotyped data

  Genotyped data for 28,022 British individuals with South Asian ancestry from the Genes and Health cohort (Feb2020), which were imputed with the GenomeAsia pilot reference panel.

  Dataset EGAD00001007815

• Accurate Immune Repertoire Sequencing Reveals Malaria Infection Driven Antibody Lineage Diversification in Young Children

  This study describes a novel Immune Repertoire Sequencing technique, termed Molecular Identifier Clustering-based Immune Repertoire Sequencing (MIDCIRS), to reduce sequencing error while maintaining extremely high coverage and applies this technique to investigate the differential immune response to malaria between infants and toddlers. Despite a lower somatic hypermutation load, we found an unexpectedly high level of competency within the infant antibody repertoire, particularly the ability to diversify B cell clonal lineages upon acute infection. Detailed clonal lineage analysis encompassing lineages containing sequences from both pre- and acute malaria timepoints revealed an increase in somatic hypermutations upon acute infection. Further analysis on pre-malaria memory B cell containing lineages in toddlers who had previously been exposed to malaria provides evidence for the capacity of memory B cells to continue to mutate and isotype switch.

  Study phs001209

• Khoe-San whole genome sequencing

  High-coverage (>30X) whole genome data (FASTQ) for 25 southern African Khoe-San individuals (from five populations). These are the same individuals as in Schlebusch et al. 2020 (EGAD00001006183), but different data.

  Dataset EGAD50000001559

• Bulk RNA-sequencing data from 9 cHL cell lines

  The dataset contains raw data of 27 bulk RNA-sequencing data from 9 cHL cell lines. Paired-end fastq with polyA capture are available for each cell line.

  Dataset EGAD50000001271

• Peripheral T cell lymphoma (PTCL) Shallow Whole Genome Sequencing

  Shallow Whole Genome Sequencing (sWGS) of 148 FFPE DNA samples from peripheral T cell lymphoma (PTCL) samples. Assoicated with the "Molecular biomarkers for stratification peripheral T cell lymphoma" study.

  Dataset EGAD50000001146

• banfora_20150706_autosomes

  Genotype data (in binary PLINK format) and imputed data (with merged 1000Gp3 and AGVP reference panel in GEMMA BIMBAM dosage format) for 355 individuals from the VAC050 trial performed in Banfora, Burkina Faso - autosomes.

  Dataset EGAD00010002581

• NKI-AvL CRC-OVC RNA-seq

  The dataset “NKI-AvL CRC-OVC RNA-seq" includes 4 FASTQ files from single-end total RNA sequencing on Illumina HiSeq2500 for 2 colorectal cancer and 2 ovarian cancer patients.

  Dataset EGAD00001004341

• GIS-LUNGTCR1-2016_VAL-BAM

  This dataset contains BAM files of targeted Amplicon deep-sequencing data, for validation of the mutations found in WES. There are 16 patients and 95 samples in total, including 16 controls and 79 tumors.

  Dataset EGAD00001001980

• ChIP-seq for GOF p53

  This dataset includes ChIP-seq data from two cell lines (HKCI-11 (GOFp53) and MIHA(WT p53)). All the experiments were performed on Illumina HiSeq 2000 platform with raw reads stored in fastq format.

  Dataset EGAD00001005449

• Whole Genome Sequencing of Normal Singaporean Volunteers

  Whole-genome sequencing (WGS) data for 546 Singaporean volunteers used to estimate WGS-LTL in the study. Samples were sequenced using Illumina Hiseq X to a mean coverage of 30X.

  Dataset EGAD00001005480

• long RNA data

  long RNA data for 27 CLL samples (8 controls, 19 tumor) of the CancerEpiSys-PRECiSe project.

  Dataset EGAD00001005968

• Sequencing files for 7 melanoma patients

  Files from whole exome sequencing of matched normals and multiple tumors from 7 melanoma patients. The tumors include primary tumors and distant metastases.

  Dataset EGAD00001006410

• Hypoxia acts as an environmental cue for the human TRM differentiation program

  Dataset consists of 19 bam files from RNA sequencing experiments batch1 and batch2.

  Dataset EGAD00001007692

• Long-read sequencing for cell-free DNA analysis (human pacbio)

  8 pregnant women at the 3rd trimesters, 4 hepatitis B carriers, and 4 patients with hepatocellular carcinoma

  Dataset EGAD00001009427

• Single-cell RNA sequencing of SI-NET

  Small intestinal neuroendocrine tumors (SI-NETs) arise from hormone-producing cells in the gut, yet the molecular changes driving malignant transformation remain poorly understood. Bulk tissue-based analyses make it challenging to distinguish signals derived from normal cells from those of normal hormone-producing cells. In this study, we analyzed SI-NETs at single-cell resolution and directly compared tumor cells with their corresponding normal hormone-producing counterparts using single-cell RNA sequencing. Tissue samples were obtained from two patients undergoing tumor resection surgery. Cells from corresponding normal intestinal mucosa and SI-NET tumors were isolated using specific markers and analyzed for direct comparison.

  Study EGAS50000001584

• The dataset for Detection and characterization of lung cancer using cell-free DNA fragmentomes

  The dataset for Detection and characterization of lung cancer using cell-free DNA fragmentomes includes 872 bam files from whole genome next-generation sequencing on the Illumina HiSeq2500. The samples analyzed include plasma samples from healthy individuals and patients with cancer.

  Dataset EGAD00001007796

• Machine Learning Guided Signal Enrichment for Plasma Tumor-burden Monitoring Dataset

  Includes 4 Datasets: 1. 35 Control Plasma WGS samples sequenced on NovaSeq V1.0 Chemistry at the New York Genome Center. Denoted by CTRL-2XX naming scheme. 2. Plasma WGS from 17 patients with Small Cell Lung Cancer. Samples extracted at either Pretreatment or Postoperative at weeks 2 or 3. Denoted by SCLC-XX naming scheme. 3. Plasma WGS from a synthetic mixing study of a high-burden melanoma plasma sample with plasma bag, at estimated tumor concentrations of 10e-3, 10e-4, 10e-5, and 10e-6 for 2 replicates. Denoted by SM-repX naming scheme. 4. Assorted Plasma, Tumor, and Normal WGS from patients with NSCLC expressing high-burden for use in model training. Denoted by NSCLC-2XX naming scheme.

  Dataset EGAD00001011352

• SC_DDD-G-3

  Unfiltered genotype data for DDD Study trios (patient and parents) (N=2,166 samples), some of which were used for replication of neurodevelopmental disorder polygenic risk (Niemi et al., Nature 2018). Samples were genotyped on the Illumina HumanOmniExpress BeadChip

  Dataset EGAD00010001602

• Tapestri snDNA-seq data along with matched bulk data for validation

  Files from Tapestri snDNA-seq of archival tissue samples from 16 pancreatic ductal adenocarcinoma (PDAC) patients. Matched bulk sequencing (whole-exome, whole-genome, MSK-IMPACT) data are attached for a subset of the patients.

  Dataset EGAD00001009735

• Impact of germline pathogenic variants in 27 cancer-predisposing genes on the risk of lymphoma

  The application of advanced molecular technology has significantly expanded lymphoma classification, allowing risk stratification and treatment optimization. Limited evidence suggests the presence of a genetic predisposition in lymphoma, indicating the potential for better individualized clinical management based on a novel lymphoma classification. Herein, we examined the impact of germline pathogenic variants in 27 cancer-predisposing genes with lymphoma risk and explored the clinical characteristics of pathogenic variant carriers. This study included 2,066 lymphoma patients and 38,153 cancer-free controls from the Japanese population. Following quality control of sequencing data, samples from 1,982 lymphoma patients and 37,592 controls were further analyzed. Sequencing data of controls were obtained from JGAD000721. Germline pathogenic variants in some cancer-predisposing genes were associated with a high risk of lymphoma. Furthermore, germline pathogenic variants in these genes were especially associated with the higher risk of a certain subtype. These results would provide novel insights concerning monogenic form into lymphoma classification. Some lymphoma patients may benefit from surveillance and targeted treatment like other neoplasms.

  Study JGAS000347