Search Results - EGA European Genome-Phenome Archive

snRNA and snATAC analysis of cocaine use disorder in human caudate nucleus

We investigated cell type specific changes of gene expression and chromatin accessibility in the caudate nucleus of N=6 individuals with and N=8 individuals without cocaine use disorder using postmortem human brain samples. We performed single-nuclei RNA-sequencing and single-nuclei ATAC sequencing in the same cells using the 10xMultiome platform. The N=14 tissue donors were of African-American ancestry. The cohort consists of N=5 female and N=9 male individuals.

Study EGAS50000000480

RNAseq of 704 patients with soft tissue tumors

The dataset contains transcriptome sequencing (RNA-seq) data of 704 soft tissue tumors (STT) from 704 patients. The sequencing data comes in FASTQ format and contains 1408 files. A total of 56 different STT types were included in the present study and each tumor type was represented by >2 samples. The vast majority of the patients had been diagnosed and treated at the sarcoma centers in Lund (Sweden) or Stockholm (Sweden) during the period 1988-2020, but also a few samples from other centers, obtained through previous collaborative projects, were included. RNA was extracted from fresh frozen tumor material and samples were primary lesions unless otherwise indicated. The sequencing was performed using 2x150 bp paired-end chemistry on a series of Illumina instruments at various facilities during the period 2013-2023.Samples were obtained after informed consent from the patients and the study was approved by the regional ethics committee (Etikprövningsmyndigheten, Uppsala, dnr 2023-01550-01, dnr 2025-02997-02).

Dataset EGAD50000002120

Single-cell RNA-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the single-cell RNA sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

Dataset EGAD00001015713

Boson HCV infected liver bulk RNASeq study

ACE2 is a receptor for the SARS-CoV-2 and differences in its expression may affect susceptibility to infection. In a genome-wide eQTL analysis using hepatitis C virus-infected liver tissue, we discovered that polymorphism in a type III interferon gene (IFNL4), which eliminates IFN-lambda-4 production, is associated with a two-fold increase in ACE2 RNA expression. Conversely, among genes negatively correlated with ACE2 expression, IFN-signalling pathways were highly enriched and ACE2 was downregulated after IFN-alpha treatment.

Study EGAS00001004996

46 CLL Whole Genome Sequencing Study

Chronic lymphocytic leukaemia (CLL) consists of two biologically and clinically distinct subtypes defined by the abundance of somatic hypermutation (SHM) affecting the Ig variable heavy-chain locus (IgHV). The molecular mechanisms underlying these subtypes are incompletely understood. Here, we present a comprehensive whole-genome sequencing analysis of somatically acquired genetic events from 46 CLL patients, including a systematic comparison of coding and non-coding single nucleotide variants, copy number variants and structural variants, regions of kataegis and mutation signatures between IgHVmut and IgHVunmut subtypes.

Study EGAS00001003254

RNAseq data from the study - Molecular patterns of response and treatment failure after frontline venetoclax combinations in older patients with AML

This study assessed molecular determinants of response in a cohort of patients with AML that were treated with venetoclax in combination with either DNA methyltransferase inhibitors or low dose cytarabine. RNA sequencing was performed on 31 patients from three different response classes [10 Group A - Durable remission (n=10), Group B - Relapsed (n=10) and Group C - Refractory (n=11)]. Library preparation and sequencing was performed at the Australian Genome Research Facility, using the Truseq Stranded mRNA library kit. Technical and batch replicate samples are included. Gene count data are provided with the original publication. The use of the sequencing data is subject to a data transfer agreement and is restricted to ethically approved research into blood cell malignancies and cannot be used to assess germline variants.

Dataset EGAD00001005949

RNA-seq of high-grade serous ovarian cancer in long-term survivors (MOCOG study)

RNA-seq dataset of high-grade serous ovarian cancer (HGSC) tumours from long-term survivors performed as part of the Multidisciplinary Ovarian Cancer Outcomes Group (MOCOG) study. The dataset includes fastq files from 56 HGSC tumours (53 primary tumours and 3 recurrent tumours) from 53 long-term survivor patients. Libraries were generated using the Illumina Stranded mRNA Prep and 150 bp paired-end sequencing was performed to a minimum of 100 million reads on Illumina NovaSeq 6000 instruments.

Dataset EGAD00001008537

Autozygosity pilot - British-Pakistani from Birmingham 2

The offspring of first cousin marriages have ~6% of their genome autozygous, i.e. homozygous identical by descent, or even more if there was further consanguinity in their ancestry. In the UK there are large populations with very high first cousin marriage rates of 20-50%. Sequencing the exomes of a sample of these individuals has the potential both to support genetic health programmes in these populations, and to provide genetic research information about rare loss of function mutations. This pilot study based on existing British-Pakistani cohort samples from Birmingham will identify homozygous individuals for almost all variants down to an allele frequency around 1%, plus individuals carrying hundreds of new homozygous rare loss-of-function variants, and will support development of community relations and ethics for a wider study currently being designed. The data deposited in the EGA consists of low coverage whole exome sequencing on these samples.

Dataset EGAD00001001026

Autozygosity pilot - British-Pakistani from Birmingham

The offspring of first cousin marriages have ~6% of their genome autozygous, i.e. homozygous identical by descent, or even more if there was further consanguinity in their ancestry. In the UK there are large populations with very high first cousin marriage rates of 50-80%. Sequencing the exomes of a sample of these individuals has the potential both to support genetic health programmes in these populations, and to provide genetic research information about rare loss of function mutations. This pilot study based on existing British-Pakistani cohort samples from Birmingham will identify homozygous individuals for almost all variants down to an allele frequency around 1%, plus individuals carrying hundreds of new homozygous rare loss-of-function variants, and will support development of community relations and ethics for a wider study currently being designed. The data deposited in the EGA consist of low coverage whole exome sequencing on these samples.

Dataset EGAD00001001025

Impact of mutational profiles on response of primary oestrogen receptor-positive breast cancers to oestrogen deprivation

Presurgical studies allow study of the relationship between mutations and response of estrogen receptor positive (ER+) breast cancer to aromatase inhibitors (AIs) but have been limited to small biopsies. Here in Phase I of this study, we perform exome sequencing on baseline, surgical core-cuts and blood from 60 patients (40 AI treated, 20 Controls). In poor responders (based on Ki67 change) we find significantly more somatic mutations than good responders. Subclones exclusive to baseline or surgical cores occur in approximately 30% of tumours. In Phase II we combine targeted sequencing on another 28 treated patients with Phase I. We find six genes frequently mutated: PIK3CA, TP53, CDH1, MLL3, ABCA13 and FLG with 71% concordance between paired cores. TP53 mutations are associated with poor response. We conclude that multiple biopsies are essential for confident mutational profiling of ER+ breast cancer and TP53 mutations are associated with resistance to oestrogen deprivation therapy.

Dataset EGAD00001002651

Lung cancer organoids addition

Organoids are self-organizing 3D structures grown from stem cells that recapitulate essential aspects of organ structure and function. Here we describe a method to establish long-term culture conditions of human airway epithelial organoids that contain all major cell populations and allow personalized human disease modelling. We collected macroscopically inconspicuous lung tissue from non-small-cell lung cancer (NSCLC) patients undergoing medically indicated surgery and isolated epithelial cells to engineer 3D organoids. We exploit the potential to derive sub-clones from AOs to demonstrate the feasibility of CRISPR gene editing. Finally, we show that AOs readily allow modelling of viral infections such as RSV and for the first time demonstrate the possibility to study neutrophil-epithelium interaction in an organoid model. Taken together, we anticipate that human AOs will find broad applications in the study of adult human airway epithelium in health and disease.

Dataset EGAD00001004943

Genotyping NIGMS Chromosomal Aberration and Inherited Disorder Samples

As part of an effort to correlate molecular copy number variation determinations with state of the art karyotype analyses, 716 samples derived from 697 individuals from the Chromosomal Aberrations and Inherited Disorders collections of the NIGMS Human Genetic Cell Repository were genotyped and analyzed for CNV determination by the Microarray Center at the Coriell Institute for Medical Research. Karyotyping is performed on all cell cultures in the Repository with reported chromosome abnormalities. The samples chosen for genotyping in this study are intended to represent a diverse set of copy number variants, but the selection was also weighted to over-sample commonly manifested types of aberrations. When available, the ISCN description of the sample based on G-banding and FISH analysis is included in the phenotypic data. Karyotypes for these cells can be viewed in the online Repository catalog (http://ccr.coriell.org/Sections/Collections/NIGMS/?SsId=8).

Study phs000269

Genetic analysis of patients with Inherited Retinal Dystrophies (IRDs) using next generation sequencing to identify the causative variants

Genetic analysis of patients with Inherited Retinal Dystrophies (IRDs) was carried out by performing Whole Genome Sequencing (WGS). The main purpose of this study is to identify simple and complex mutations responsible for IRD in patients. WGS was performed on selected affected and unaffected individuals using the Illumina HiSeqX10. The reads were aligned to human genome 19 (hg19) and variant calling was performed using Genome Analysis Toolkit (GATK). The genotyping quality of single nucleotide variants (SNVs) and indels was assessed using the variant quality score recalibration approach implemented in GATK. Copy number variations (CNVs) were called using Genome STRiP and SpeedSeq. This large set of whole genome sequencing data from different ethnicity can be stored and shared through dbGaP. This data could serve as a source for checking frequencies of variants or the pathogenicity of selected variants in different ethnicities.

Study phs001619

University of Washington Developmental Single Cell Atlas

We set out to generate a human cell atlas of both gene expression and chromatin accessibility using tissues obtained during development. In this study, we applied an assay for single cell profiling of gene expression based on three-level combinatorial indexing (sci-RNA-seq3) to 121 fetal tissue samples representing 15 organs, altogether profiling transcription in over 4 million single cells. In parallel, we devised an improved assay for single cell profiling of chromatin accessibility also based on three-level combinatorial indexing (sci-ATAC-seq3). We applied this method to 53 fetal tissue samples representing 15 organs, altogether profiling on the order of one million single cells. From these data, we identify and characterize diverse human cell types and annotate them with respect to marker genes, expression and regulatory modules. These data comprise a rich resource for the exploration of human biology.

Study phs002003

Genomic Analysis of Low Grade B-Cell Lymphoma

We included tumors from 64 newly diagnosed or untreated Low Grade B-Cell Lymphoma (LGBCL) patients, consisting of SMZL (n = 48), NMZL (n = 6), EMZL (n = 2), LPL (n = 5), and B-NOS (n = 3) in this study. Samples were selected from cases consented to the Molecular Epidemiology Resource (MER) of the University of Iowa and Mayo Clinic Lymphoma Specialized Program of Research Excellence (SPORE). RNA or DNA were extracted from 64 frozen LGBCLs tumors (with available matched germline DNA for N=61. For RNA sequencing, library preparation was done using the Illumina TruSeq RNA Exome Kit and sequenced with 100 nucleotide paired-end reads using the HiSeq 4000. For WES, library preparation was done using the Agilent SureSelect XT kit and sequenced with 100 nucleotide paired-end reads using the Illumina HiSeq 4000.

Study phs002552

RNA-Seq studies of Gene Expression in Cells and Networks in FI and ACC in Autism

RNA-Seq studies of Gene Expression in Cells and Networks in FI (fronto-insular) and AC (anterior cingulate) cortex in Autism. We seek to understand the cellular bases of autism by using a new technology, RNA-Seq, to determine differences in gene expression in autopsy brains of subjects with well described autism versus age and sex matched neurotypical individuals. We have investigated two specific cortical areas involved in self-awareness and social reciprocity which are abnormal in autism and have found increased expression in a network of genes related to inflammation in autism group A, whereas the remaining cases, autism group B, have increased expression in a network of genes related to synapses. The current dbGaP study release includes RNA sequencing and phenotype data of n=27 subjects of African - American, Caucasian, or Hispanic origin.

Study phs000609

Notch Signaling and Efficacy PD-1/PD-L1 Blockade in Relapsed Small Cell Lung Cancer

Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine (NE) cancer that accounts for approximately 15% of all lung cancer, with an annual incidence of more than 34,000 in the United States alone. SCLC is characterized by loss of function of p53 and RB and high tumor mutational burden, which suggests that these tumors could be immunogenic and respond to immune checkpoint blockade (ICB). However, the benefit from ICB in an unselected SCLC population is modest. In this study, we evaluated the genomic features associated with clinical outcomes in relapsed SCLC to gain insight into the underlying mechanisms of ICB response. Exome, RNA and TCR sequencing data from a prospective clinical trial of relapsed SCLC treated with durvalumab and olaparib and RNA-sequencing data for second cohort of relapsed SCLC cohort treated with nivolumab are included.   

Study phs002176

Female Infertility: Primary Ovarian Insufficiency

Premature ovarian failure, or primary ovarian insufficiency (POI) is a phenotype of diminished or absent ovarian function occurring in 1-2% of reproductive aged women. Most cases occur spontaneously. Evaluation of the gametes in women with POI is difficult and invasive. Practitioners must often rely on indirect biomarkers of ovarian function and oocyte health, making it difficult to identify patients who may benefit from therapies allowing them to achieve pregnancy utilizing their own oocytes. This study will generate exome sequences from POI patients in an effort to elucidate the causes of unexplained POI and to better understand the normal processes of ovarian aging. A better understanding of the genetics of ovarian function may lead to new non-invasive tools for managing women's reproductive health, and direct better use of existing biomarkers in diagnosis, screening and predicting clinical outcomes.

Study phs001174

Detection and phasing of single base de novo mutations in biopsies from human in vitro fertilized embryos by advanced whole-genome sequencing

Current methods available for pre-implantation genetic diagnosis (PGD) of in vitro fertilized (IVF) embryos do not detect de novo. Detection of these types of mutations requires whole genome sequencing (WGS). In this study advanced massively parallel WGS was performed on three 5-10 cell biopsies from two blastocyst-stage embryos. Overall, greater than 95% of each genome was called and experimentally derived haplotypes and barcoded read data were used to detect and phase up to 82% of de novo single base mutations with a false positive rate of ~1 error per Gb. These results suggest that phased WGS using barcoded DNA could be used in the future as part of the PGD process to maximize comprehensiveness in detecting disease causing mutations and reduce the incidence of genetic diseases.

Study phs000858

Breast Cancer Susceptibility

Genetic factors account for a large fraction of breast cancer risk and it is estimated that up to 30% of breast cancers have a heritable component. Inherited cancer susceptibility is associated with early-onset of malignancies in general. Although 20% of young women with breast cancer have germline mutations in the best understood breast cancer susceptibility genes, BRCA1, BRCA2 and TP53, in the remaining 80% of women with early-onset breast cancer, the genetic factors contributing to disease remain unexplained. By studying the extreme phenotype of women diagnosed at an early age there is enrichment for genetic factors that contribute to breast cancer. This study contains the whole exome sequence of 384 women diagnosed with invasive breast cancer prior to 40 years of age. Each of the subjects reported a family history of breast cancer and lacked mutations in BRCA1 and BRCA2.

Study phs001017

Genomic Factors Involved in Chromosome Rearrangements

Approximately 15-20% of children referred for chromosomal microarray analysis (CMA) testing have a clinically relevant CNV that in many cases explains their phenotype. The goal of this study is to discover the genomic factors that mediate chromosome rearrangements and the phenotypic effects of chromosome rearrangements. We hypothesize that particular DNA sequences are susceptible to breakage and rearrangement. To this end, we fine-map chromosome breakage sites and analyze the DNA motifs that underlie double-strand breaks (DSBs). Our studies will also capture the genomic structure of breakpoint junctions, which will allow us to determine the mechanisms of DNA repair that shape different types of chromosome rearrangements. We also correlate chromosome rearrangements with clinical features to establish genotype-phenotype correlations. Defining critical regions of deletion or duplication is the first step to identifying candidate genes responsible for particular phenotypes.

Study phs000845

Deciphering Maternal-Fetal Crosstalk in the Human Placenta During Parturition Using Single-Cell RNA-Sequencing

Labor is a complex physiological process requiring a well-orchestrated dialogue between the mother and fetus. However, the cellular contributions and communications that facilitate maternal-fetal crosstalk in labor have not been fully elucidated. In this latest version (#5), scRNA-seq was applied to decipher maternal-fetal signaling in the human placenta and chorioamniotic membranes during term labor. Samples were obtained from women who underwent spontaneous labor (n = 24) or who were delivered in the absence of spontaneous labor (n = 18) at term. Samples from previous versions (#1-3) of this study include the placental villous tree, basal plate, and chorioamniotic membranes of women across a range of pregnancy physiologic and pathologic conditions, including the processes of labor (term labor and preterm labor), and COVID-19 (version #3). Version #4 includes samples from the human myometrium during spontaneous term labor.

Study phs001886

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

Genomic Correlates of Response and Resistance to Immune Checkpoint Blockade in Solid Tumors

Immune checkpoint inhibitors yield clinical benefit in many cancer types, but molecular predictors of response have not yet been robustly characterized. In this study, we pursued whole exome sequencing (WES) of pre-treatment tumors from patients treated with immune checkpoint therapies - including monoclonal antibodies targeting programmed cell death-1 (PD-1) and cytotoxic T-lymphocyte-associated protein-4 (CTLA-4). Using these data, we aim to apply computational pipelines for mutation-calling, neoantigen prediction, and other analyses to validate pre-existing hypotheses regarding response to immune checkpoint therapies and discover new relationships with greater power. Further, by pursuing genomic characterization of tumors from patients with a variety of cancer types, we hope to describe molecular features of intrinsically sensitive or resistant tumors that are both context-specific and shared across cancer types.

Study phs001565

Transcriptome of 2-Hydroxypropyl-Beta-Cyclodextrin Treatment in Niemann-Pick Disease Type C1

Niemann-Pick type C (NPC) disease is a rare and fatal lysosomal storage disorder. Classically, children with NPC demonstrate neurological dysfunction with cerebellar ataxia, dysarthria, seizures, vertical gaze palsy, motor impairment, dysphagia, psychotic episodes, and progressive dementia. In general, adolescent and adult onset forms have a more insidious onset and slower progression. As part of a multi-omics approach to address the genetic architecture of NPC1 disease, we have recently completed a transcriptome analysis using 43 primary NPC1 patient-derived fibroblasts from an NIH-cohort study (NCT00344331) where extensive clinical data has been obtained regarding the natural history of the disease. Initial transcriptome analysis of this dataset demonstrated a set of 485 genes that are significantly upregulated in patient samples and subsequently downregulated in response to 2-hydroxypropyl-beta-cyclodextrin treatment. 

Study phs002392

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