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• Genome Denmark Phase II - alignments

  Alignment of Genome Denmark Phase II dataset to GRCh38. The dataset consists of 150 Danish individuals (50 trios) sequenced to 80X. The BAM-file contains data from multiple libraries created from one individual with libraries of 180, 500, 800, 2000, 5000, 10000 and 20000 bp. The libraries were created using standard Illumina protocols for paired end reads (180-800bp libraries) and mate pair libraries (2kb-20kb).

  Dataset EGAD00001003157

• Single-cell transcriptome sequencing of regulatory and conventional T cells in breast cancer patients and healthy individuals.

  Identification of tumor-specific effects on gene expression profile of regulatory T cells and conventional T cells in humans, investigation of the clonal origin of regulatory T cells and impact analysis of tumor-specific conversion of conventional T cells into induced regulatory T cells on the peripheral regulatory T cell repertoire in humans.

  Study EGAS00001002933

• Immune Cell Atlas of Environmental and Ancestral Diversity in Indonesia [WGS]

  This dataset contains low‑pass whole‑genome sequencing data from 203 individuals representing four Indonesian populations: the general urban population of Denpasar and the traditional community of Pedawa Village in Bali, as well as traditional community of Yoboi Village (in Sentani lake) and Sereh Village (individuals from highland Papua residing near Sentani lake) in Papua. Sequencing was performed by Gencove using their low‑coverage whole‑genome platform. The dataset was produced as part of the Immune Cell Atlas of Environmental and Ancestral Diversity in Indonesia, a study aimed at characterizing how genetic background and environmental context shape immune cell states across diverse Indonesian communities.

  Dataset EGAD50000002384

• scRaCH-seq fastq files

  We base called the raw data of nanopore sequencing using the Guppy software (v3.1.5) with “dna_r9.4.1_450bps_sup_prom.cfg” configuration. The passed reads (Qscore > 9) are deposited in this EGA study.

  Study EGAS50000000165

• SCANDARE TNBC

  Prospective biobanking study in breast patients aiming at better understand the link between the molecular alterations of the tumor itself, its microenvironment and immune response.

  Study EGAS50000000970

• Genetic Analysis of Limb Malformation Disorders: Freeman Sheldon Syndrome Exome Sequencing Study (LMD-FSS)

  The overall goal of this project is to investigate the etiology and pathogenesis of malformations (i.e., birth defects) of the limb, concentrating on abnormalities of limb patterning such as limb deficiency/duplications and multiple congenital contractures. The exome sequences of four unrelated individuals were obtained by massively parallel DNA sequencing. The three individuals were affected with Freeman Sheldon syndrome (OMIM: 193700).

  Study phs000204

• Papua New Guinean Lowlanders Dataset (PNGLD)

  DAC to oversee high-coverage whole genome sequences collected to study patterns of genomic variation across the southern lowland of Papua New Guinea.

  Dac EGAC50000000032

• Whole exome sequencing of sequential samples from a CLL patient over the course of venetoclax treatment, BCR inhibitor treatment, and venetoclax re-treatment

  The dataset contains whole exome sequencing data (libraries prepared using the Agilent SureSelect Human All Exon V6 kit, and paired-end sequenced on Illumina HiSeq4000 (2 x 150bp)) of 6 samples taken from peripheral blood mononuclear cells (PBMCs) (Samples 1-5) and bone marrow (BM). Data are provided as fastq files. Sample 1 was taken prior to initial venetoclax treatment. Sample 2 was taken as disease progression on venetoclax. Sample 3 was taken during response to BTK and PI3K inhibitor therapy. Sample 4 and the BM sample were taken at disease progression/prior to venetoclax re-treatment. And Sample 5 was taken during venetoclax re-treatment response.

  Dataset EGAD00001008685

• BLUEPRINT Whole-genome fingerprint of the DNA methylome during human B-cell differentiation

  We used whole-genome bisulfite sequencing (WGBS) to generate unbiased DNA methylation maps of six purified B-cell subpopulations: hematopoietic progenitor cells (HPC); pre-B-II cells (preB2C); naive B cells from peripheral blood (naiBC); germinal center B cells (gcBC); memory B cells from peripheral blood (memBC) and plasma cells from bone marrow (bm-PC). WGBS was performed in 2 biological replicates from each subpopulation.

  Dataset EGAD00001001304

• Epigenetics/genetics of the patient-derived xenografts of pediatric T-cell leukemia

  We compared 12 pediatric T cell acute lymphoblastic leukemias collected at initial diagnosis and relapse with their corresponding PDX models. The analysis was performed on genomic level (whole genome sequencing (WGS), whole exome sequencing (WES), multiplex ligation probe amplification (MLPA), targeted sequencing) and the epigenetic level (DNA methylation, Assay for Transposase-Accessible Chromatin sequencing (ATAC-seq)). In sum, this study underlines the remarkable genomic stability, and for the first time documents the preservation of the epigenomic landscape in T-ALL-derived PDX models.

  Study EGAS00001003248

• Targeted MCC-seq

  The capture panel targets the functional methylome in human whole blood. Regions incorporated in the panel design included hypomethylated windows generated from merged WGBS data.

  Dataset EGAD50000000286

• Chronic lymphocytic leukemia patient-derived xenografts recapitulate clonal evolution to Richter transformation

  Whole-genome sequencing (WGS) and RNA-seq data from patient-derived xenografts (PDXs) obtained from CLL and RT primary samples as described in Playa-Albinyana et al.

  Study EGAS00001006965

• Chromatin 3D interactions mediate genetic effects on gene expression

  Studying the genetic basis of gene expression and chromatin organization is key to characterize the effect of genetic variability on the function and structure of the human genome. Here, we unravel how genetic variation perturbs gene regulation using a dataset combining activity of regulatory elements, gene expression and genetic variants across 317 individuals and two cell types.

  Study EGAS00001003485

• 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

• Vietnam_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Vietnam

  Dataset EGAD00010001733

• Tanzania_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Tanzania

  Dataset EGAD00010001743

• Kenya_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Kenya

  Dataset EGAD00010001742

• Malawi_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Malawi

  Dataset EGAD00010001741

• Cameroon_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Cameroon

  Dataset EGAD00010001740

• BurkinaFaso_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:BurkinaFaso

  Dataset EGAD00010001739

• Gambia_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Gambia

  Dataset EGAD00010001738

• Mali_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Mali

  Dataset EGAD00010001737

• Nigeria_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Nigeria

  Dataset EGAD00010001736

• PNG_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:PNG

  Dataset EGAD00010001735

• Ghana_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Ghana

  Dataset EGAD00010001734