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• GWAS genotype data of Japanese

  GWAS genotype data of the Japanese population (N=2,380) were collected at Osaka University and the affiliated medical institutes. GWAS genotyping was performed using Infinium Asian Screening Array (Illumina, USA).

  Study EGAS00001006423

• Whole_Genome_Sequencing_OMELib__Cord_blood_

  The mutational landscape of haematopoietic cells will be characterized by WGS following amplification of DNA and preparation of libraries by PTA(primary template-directed amplification). Samples have been sourced from the Cambridge Biobank.

  Study EGAS00001007453

• Dissecting_global_protective_immune_response_to_dengue_virus_at_a_single_cell_resolution

  1) 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 please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001004980

• Differential methylation positions

  This dataset includes an analyzed DMP file that provide the information about differential methylation positions based on Illumina Infinium MethylationEPIC BeadChip. All samples (5 lung cancer cases vs. 5 benign lung disease controls) were obtained from bronchial washings at the site of the lesion under bronchoscopy manipulation. Of the five lung cancer cases, 3 are adenocarcinoma and 2 are squamous carcinoma.

  Dataset EGAD00001010147

• TTFields Glioblastoma Data Access Committee, Charité – Universitätsmedizin Berlin

  This Data Access Committee is responsible for reviewing and approving data access requests for genomic and associated clinical data from patients with glioblastoma, IDH wildtype, treated with surgery, standard chemoradiotherapy and Tumor Treating Fields at Charité – Universitätsmedizin Berlin. The DAC ensures that any data use is consistent with the patients’ informed consent, the study’s ethical approval and applicable data protection regulations. Approved applicants may use the data only for biomedical research on brain tumours and related methods, must not attempt re-identification of participants, and may not share the data with unauthorized third parties

  Dac EGAC50000000843

• Human pan-genome analysis

  The reference human genome is still incomplete, and several non-reference sequences have derived from diverse populations. With the available of whole genome sequencing data from multiple individuals, we could construct the pan-genome sequence. Here we provide high quality genome sequencing (~30x coverage) from 185 Han Chinese individuals. All samples were sequenced using Illumina HiSeq X10 sequencer and paired-end 150-bp reads were produced.

  Study EGAS00001003657

• Whole transcriptome sequencing of chemotherapy-resistant muscle-invasive urothelial bladder cancer

  All mRNA sequencing data were acquired from single patients (BC159T) at a different time (BC159-T#1, BC159-T#2, and BC159-T#3). The first transurethral resection of bladder tumor (TUR-BT) (BC159-T#1) was diagnosed with non-MIUBC (muscle-invasive urothelial bladder cancer). Despite of intravesical bacillus Calmette-Guerin (BCG), the patient progressed into MIUBC at the second TUR-BT (BC159-T#2). After undergoing multiple neoadjuvant chemotherapy regimens (gemcitabine/paclitaxel and sequential paclitaxel), the patient developed local recurrence and multiple lung metastases and removed following palliative partial cystectomy (BC159-T#3).

  Study EGAS00001004232

• WTCCC case-control study for Inflammatory Bowel Disease, T1D and RA - combined cases

  WTCCC genome-wide case-control association study using three disease collections together with the 1958 British Birth Cohort and the UK National Blood Service collections as controls.

  Study EGAS00000000008

• Genome-Wide Bisulfite Sequencing of Urinary Cell-Free DNA

  The current sequencing dataset consists of 85 bisulfite sequencing data files (Fastq files) of human cell-free urine DNA samples. These extracted cfDNA samples were then constructed into DNA libraries using the KAPA HTP Library Preparation Kit (Kapa Biosystems) with bisulfite modification using the EpiTect Bisulfite Kit (Qiagen) and subsequently sequenced on the Nextseq500 platform (Illumina).

  Dataset EGAD50000001902

• The dataset for Early detection of ovarian cancer using cell-free DNA fragmentomes and protein biomarkers

  The dataset for “Early detection of ovarian cancer using cell-free DNA fragmentomes and protein biomarkers” includes 409 cram 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 EGAD50000000695

• Integrative multi-omic analyses of malignant pleural mesothelioma

  Multi-omic data (whole-genome sequencing, RNA-seq, EPIC 850K methylation arrays) for 123 samples from the MESOMICS project, the French project of molecular characterization of malignant pleural mesothelioma

  Study EGAS00001004812

• RNA_Seq_OMELib__Cord_blood_

  The transcriptional landscape of haematopoietic cells will be characterized by RNA Seq following amplification of RNA/cDNA and preparation of libraries by PTA(primary template-directed amplification). Samples have been sourced from the Cambridge Biobank.

  Study EGAS00001007454

• RRBS data of 48 individuals of the Dutch Hunger Winter Families Study

  The dataset entails 48 RRBS libraries of 24 siblings. 24 individuals are conceived during the Dutch Famine, a severe 6 month famine at the end of World War 2. A same sex sibling was added as a control, allowing partial matching for (early) familial environment and genetics.

  Dataset EGAD00001000733

• Yemen_Somali.Omni5

  The individuals were assayed for genome-wide SNP genotypes using the Illumina Human Omni5 Bead Chip (Illumina), which surveys 4,284,426 single nucleotide markers regularly spaced across the genome

  Dataset EGAD00010001651

• Single-cell and spatial transcriptomic profiling of hormone-naïve localised prostate cancer

  Localised prostate cancers (PCa) are heterogeneous and multifocal, with diverse outcomes. Current prognostic methods are epithelium-centric, overlooking the complex cellular landscape within the tumour microenvironment (TME), which remains incompletely characterised. We performed a comprehensive analysis of cancerous and adjacent-benign cores from 24 patients with hormone therapy-naïve localised PCa using single-cell RNA-sequencing. By integrating copy number variation and transcriptional signatures, we classified epithelial cells across a malignant spectrum, revealing widespread molecular perturbation. We found an expansion of Club cell phenotypes, suggestive of Luminal dedifferentiation. We also performed a detailed annotation of stromal phenotypes, focusing on fibroblasts, and identified a novel peri-neural fibroblast population. Spatial transcriptomics elucidated the precise anatomical distribution of CAFs within the PCa TME. This study provides a valuable foundation for advancing our understanding of PCa pathobiology and developing a comprehensive cellular model of the disease.

  Study EGAS00001008332

• Cancer Registry of Norway - NIPH Data Access Committee for CRCbiome datasets

  The Cancer Registry of Norway - NIPH appointed Data Access Committee for the CRCbiome datasets - The microbiome as a colorectal cancer screening biomarker. https://www.mn.uio.no/sbi/english/groups/rounge-group/crcbiome/.

  Dac EGAC50000000121

• WTCCC case-control study for Hypertension - Combined Controls

  WTCCC genome-wide case-control association study for Hypertension (HT) using six disease collections together with the 1958 British Birth Cohort and the UK National Blood Service collections as controls.

  Study EGAS00000000010

• Exome sequencing data for the DIRECT study.

  This dataset contains all available fastq files for gemline, baseline plasma/biopsy, and response assessment patient samples for the DIRECT study. The total number of samples was 729 (188 germline, 190 baseline plasma, 159 baseline biopsy, and 192 response assessment). The dataset files were generated from targeted (exome) Illumina sequencing performed on paired biopsy tissue and plasma cell free DNA.

  Dataset EGAD50000001409

• Synthetic - GDI synthetic dataset (Population 11 Finland, Subgroup 2)

  Synthetic - This dataset contains the pheno-clinical and genomic information of 42046 individuals from COVID Population 11 Finland, Subgroup 2. 2010 are affected by Phenotype 1, 2010 are affected by Phenotype 2, 188 are affected by Phenotype 1 and 2, and 37838 are control. The dataset also contains the information about the smoking habits of each individual.

  Dataset EGAD50000000955

• Tomoseq data set

  This object contains raw FATSq files and processed files of the sections of an entire EMD lesions of patient PT01A and PT10. The raw files represent bulk RNA sequencing of each of the sections. The processed file is a CSV file that contains gene expression.

  Dataset EGAD50000000335

• TCELL_PILOT_ATAC_SEQ

  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 EGAS00001000758

• Lymphocyte_RNA_profiling

  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 EGAS00001000564

• Preclinical_evolution_of_haematological_malignancies_

  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 EGAS00001002128

• CELM

  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 EGAS00001002261

• Characterization_of_iPSC_derived_macrophages___cardiovascular_pilot

  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 EGAS00001000876