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• Gene expression in LPS-stimulated human monocyte-derived macrophages

  This dataset consists of RNA-seq data from human monocyte-derived macrophages that were subjected to siRNA treatment targeting RAD21 and either left untreated, or stimulated with LPS. In total, it includes 24 samples.

  Dataset EGAD00001007952

• MDS primary and xenografted samples

  This dataset contains bam files mapped to hg19 that either were primary bone marrow cells or sorted human cells after long term engraftment in NSG mice.

  Dataset EGAD00001007760

• Whole exome sequencing of 12 NSCLC samples from 4 patients at MDACC

  Multi-region WES from 4 NSCLC patients, totaling 12 tumor samples and 4 matched control samples. The files were submitted as bam files.

  Dataset EGAD00001008382

• RNA-seq data of patients with glioblastoma IDH-wt (CNS WHO grade 4) with matched primary and relapse samples.

  Between January 1st, 2016, and December 31th, 2021, patients with glioblastoma IDH-wt (CNS WHO grade 4) were included. RNA-seq was performed in a subset of patients.

  Dataset EGAD00001015683

• EGAS00001003405 combined RNA, WES, WGS data of 16 gastrointestinal tumor patients

  50 samples of 16 individuals with Gastrointestinal Tumor. Patients were sequenced in various combinations of WGS, Exome and RNA sequencing.

  Dataset EGAD00001005113

• Targeted deep sequencing

  T200 caner panel sequencing on primary and metastatic sites from highly clinically annotated HGSC samples. Samples were obtained pre-treatment based on a laparoscopic triage algorithm from patients who underwent R0 tumor debulking, or received neoadjuvant chemotherapy (NACT) with excellent (ER) or poor response (PR).

  Dataset EGAD00001005239

• HEMa_LP

  This dataset contain WGBS sequencing result of HEMa_LP. The cells were cultured in Medium 254 supplemented with PMA-Free Human Melanocyte Growth Supplement-2 (HMGS-2) under 37°C,5% CO2.

  Dataset EGAD00001005486

• RNA-Seq data of VDH15 cells with and without deletion of NSUN3

  paired RNA-Seq data of VDH15 cells with and without deletion of NSUN3. The 11 samples were sequenced on HiSeq 4000 and prepared with SmarTer low input RNA and Chip NEBNext kit.

  Dataset EGAD00001006560

• Oxford Nanopore whole genome sequencing of two patients with congenital disease

  BAM files with sequencing reads derived from Oxford Nanopore MinION whole genome sequencing of two DNA samples from lymphoblastoid cell lines from two patients with congenital disease. Samples were prepared using 1D and 2D library preps.

  Dataset EGAD00001003511

• Whole exome sequencing of 76 individuals with familial atrial fibrillation

  Whole exome sequencing of 76 individuals with familial atrial fibrillation. BAM files have been aligned with BWA meme algorithm. Fastq files were filtered and trimmed using cutadapt. Samples have been sequnced on an Illumina 2500 machine.

  Dataset EGAD00001004333

• whole genome sequencing data of genomic heterogeneity of multiple synchronous lung cancer.

  Fastq data of genomics heterogeneity of multiple synchronous lung cancer. Whole-genome sequencing (WGS) were performed in 3 tumour samples, one regional lymph node metastasis sample and peripheral blood sample from the same patient with MSLCs.

  Dataset EGAD00001003458

• Primary plasma cell leukemia genomic abnormalities

  Primary plasma cell leukemia (pPCL) samples were sequenced using the Nimblegen MedExome Plus hybridization capture to detect translocations, copy number changes, and mutations in 20 pPCL samples and patient matched controls. Sequencing was performed on a NextSeq500 using 75 bp paired end reads.

  Dataset EGAD00001004323

• WGS on patients 5-7, study of metastatic prostate cancer

  Data from the study of subclonal metastatic expansion in prostate cancer. Whole genome shotgun sequencing of six samples, tumour and whole blood, from the three additional patients whose somatic variants were examined in depth.

  Dataset EGAD00001001344

• OMRF SLEGEN GWAS Data from European-American Women with Lupus

  "Systemic lupus erythematosus (SLE) is a common systemic autoimmune disease with complex etiology but strong clustering in families (lambda(S) = approximately 30). We performed a genome-wide association scan using 317,501 SNPs in 720 women of European ancestry with SLE and in 2,337 controls, and we genotyped consistently associated SNPs in two additional independent sample sets totaling 1,846 affected women and 1,825 controls. Aside from the expected strong association between SLE and the HLA region on chromosome 6p21 and the previously confirmed non-HLA locus IRF5 on chromosome 7q32, we found evidence of association with replication (1.1 x 10-7 < P(overall) < 1.6 x 10-23; odds ratio = 0.82-1.62) in four regions: 16p11.2 (ITGAM), 11p15.5 (KIAA1542), 3p14.3 (PXK) and 1q25.1 (rs10798269). We also found evidence for association (P < 1 x 10-5) at FCGR2A, PTPN22 and STAT4, regions previously associated with SLE and other autoimmune diseases, as well as at > or =9 other loci (P < 2 x 10-7). Our results show that numerous genes, some with known immune-related functions, predispose to SLE." Reprinted from Nature Genetics, 2008 Feb; 40(2):204-10, PMID:18204446, with permission from Nature Publishing Group. Data submitted to dbGaP includes 297 samples from Oklahoma. (Please see also Study Accession: phs000216.v1.p1)

  Study phs000202

• The Human Gut Microbiome and Recurrent Abdominal Pain in Children

  This project explores the nature of the human intestinal microbiome in healthy children and children with recurrent abdominal pain. The overall goal is to obtain a robust knowledge-base of the intestinal microbiome in children without evidence of pain or gastrointestinal disease, children with functional abdominal pain, and children with abdominal pain and changes in bowel habits (irritable bowel syndrome). Multiple strategies have been deployed to navigate and understand the nature of the intestinal microbiome in childhood. These strategies include 454 pyrosequencing-based strategies to sequence 16S rRNA genes and understand the detailed composition of microbes in healthy and disease groups. Microarray-based hybridization with the PhyloChip and quantitative real-time PCR (qPCR) probes are being applied as complementary strategies to gain an understanding of the intestinal microbiome from various perspectives. Data collected and analyzed during the HMP UH2 and UH3 Demo project, from a set of healthy and IBS children may enable the identification of core microbiomes in children in addition to variable components that may distinguish healthy from diseased pediatric states. We are currently analyzing the dataset for the presence of disease-specific signatures in the human microbiome, and correlating these microbial signatures with pediatric health or IBS disease status. This study explores the nature of core and variable human microbiomes in pre-adolescent healthy children and children with recurrent abdominal pain.

  Study phs000265

• Transformation of Dysplasia in Barrett's Esophagus

  Complex chromosomal alterations are a hallmark of advanced cancers but rarely seen in normal tissue. The progression of precancerous lesions to malignancy is often accompanied by increasing complexity of chromosomal alterations that can drive their transformation through focal oncogenic amplifications. However, the etiology and evolution dynamics of these alterations are poorly understood. Here we study chromosomal copy-number evolution in the progression of Barrett's esophagus (BE) to esophageal adenocarcinoma (EAC) by multi-regional whole-genome sequencing analysis of BE samples with dysplasia and microscopic EAC foci. Through haplotype-specific copy-number analysis of BE genome evolution, we identified distinct patterns of episodic copy-number evolution consistent with the outcomes of abnormal mitosis and dicentric chromosome breakage. While abnormal mitosis, including whole-genome duplication, accounts for most chromosome or arm-level copy-number changes, segmental copy-number alterations display signatures of multi-generational evolution of unstable dicentric chromosomes. Continuous evolution of dicentric chromosomes through breakage-fusion-bridge cycles and chromothripsis rapidly increases genomic complexity and diversity among BE cells, culminating in the generation of distinct focal amplifications. These mutational processes enable multiple subclones within small dysplastic areas to undergo parallel transformation to cancer following acquisition of distinct oncogenic amplifications. Our results demonstrate how chromosomal instability drives clonal diversification in precancer evolution and promotes tumorigenesis in primary human samples.

  Study phs002706

• Transcriptional regulatory networks of tumor-associated macrophages that drive malignancy in mesenchymal glioblastoma

  Background: Glioblastoma (GBM) is a complex disease with extensive molecular and transcriptional heterogeneity. GBM can be subcategorized into four distinct subtypes; tumors that shift towards the mesenchymal phenotype upon recurrence are generally associated with treatment resistance, unfavorable prognosis, and the infiltration of pro-tumorigenic macrophages. Results: We explore the transcriptional regulatory networks of mesenchymal-associated tumor-associated macrophages (MA-TAMs), which drive the malignant phenotypic state of GBM, and identify macrophage receptor with collagenous structure (MARCO) as the most highly differentially expressed gene. MARCOhigh TAMs induce a phenotypic shift towards mesenchymal cellular state of glioma stem cells, promoting both invasive and proliferative activities, as well as therapeutic resistance to irradiation. MARCOhigh TAMs also significantly accelerate tumor engraftment and growth in vivo. Moreover, both MA-TAM master regulators and their target genes are significantly correlated with poor clinical outcomes, and are often associated with genomic aberrations in neurofibromin 1 (NF1) and phosphoinositide 3-kinases/mammalian target of rapamycin/Akt pathway (PI3K-mTOR-AKT)-related genes. We further demonstrate origination of MA-TAMs from peripheral blood, as well as their potential association with tumor-induced polarization states and immunosuppressive environments. Conclusions: Collectively, our study characterizes the global transcriptional profile of TAMs driving mesenchymal GBM pathogenesis, providing potential therapeutic targets for improving the effectiveness of GBM immunotherapy.

  Study EGAS00001002443

• Human Pancreatic Islet RNAseq - Lund

  Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, many key tissues and cell-types required for appropriate functional inference are absent from large-scale resources such as ENCODE and GTEx. We explored the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using RNA-Seq and genotyping data from 420 islet donors. We find: (a) eQTLs have a variable replication rate across the 44 GTEx tissues (<73%), indicating that our study captured islet-specific cis-eQTL signals; (b) islet eQTL signals show marked overlap with islet epigenome annotation, though eQTL effect size is reduced in the stretch enhancers most strongly implicated in GWAS signal location; (c) selective enrichment of islet eQTL overlap with the subset of T2D variants implicated in islet dysfunction; and (d) colocalization between islet eQTLs and variants influencing T2D or related glycemic traits, delivering candidate effector transcripts at 23 loci, including DGKB and TCF7L2. Our findings illustrate the advantages of performing functional and regulatory studies in tissues of greatest disease-relevance while expanding our mechanistic insights into complex traits association loci activity with an expanded list of putative transcripts implicated in T2D development.

  Study EGAS00001004042

• Phenotyping data on human pancreatic islets from 191 donors - Lund

  Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, many key tissues and cell-types required for appropriate functional inference are absent from large-scale resources such as ENCODE and GTEx. We explored the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using RNA-Seq and genotyping data from 420 islet donors. We find: (a) eQTLs have a variable replication rate across the 44 GTEx tissues (<73%), indicating that our study captured islet-specific cis-eQTL signals; (b) islet eQTL signals show marked overlap with islet epigenome annotation, though eQTL effect size is reduced in the stretch enhancers most strongly implicated in GWAS signal location; (c) selective enrichment of islet eQTL overlap with the subset of T2D variants implicated in islet dysfunction; and (d) colocalization between islet eQTLs and variants influencing T2D or related glycemic traits, delivering candidate effector transcripts at 23 loci, including DGKB and TCF7L2. Our findings illustrate the advantages of performing functional and regulatory studies in tissues of greatest disease-relevance while expanding our mechanistic insights into complex traits association loci activity with an expanded list of putative transcripts implicated in T2D development.

  Study EGAS00001004056

• GWAS data on human pancreatic islets from 191 donors - Lund

  Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, many key tissues and cell-types required for appropriate functional inference are absent from large-scale resources such as ENCODE and GTEx. We explored the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using RNA-Seq and genotyping data from 420 islet donors. We find: (a) eQTLs have a variable replication rate across the 44 GTEx tissues (<73%), indicating that our study captured islet-specific cis-eQTL signals; (b) islet eQTL signals show marked overlap with islet epigenome annotation, though eQTL effect size is reduced in the stretch enhancers most strongly implicated in GWAS signal location; (c) selective enrichment of islet eQTL overlap with the subset of T2D variants implicated in islet dysfunction; and (d) colocalization between islet eQTLs and variants influencing T2D or related glycemic traits, delivering candidate effector transcripts at 23 loci, including DGKB and TCF7L2. Our findings illustrate the advantages of performing functional and regulatory studies in tissues of greatest disease-relevance while expanding our mechanistic insights into complex traits association loci activity with an expanded list of putative transcripts implicated in T2D development.

  Study EGAS00001004044

• Genetic insights into the biological mechanisms governing human ovarian ageing

  Reproductive longevity is critical for fertility and impacts healthy ageing in women, yet insights into the underlying biological mechanisms and treatments to preserve it are limited. Here, we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in ~200,000 women of European ancestry. These common alleles influence clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations. Identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increase fertility and extend reproductive life in mice. Causal inference analyses using the identified genetic variants indicates that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases risks of hormone-sensitive cancers. These findings provide insight into the mechanisms governing ovarian ageing, when they act across the life-course, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.

  Study EGAS00001004947

• Loss of LGR4/GPR48 causes severe neonatal salt-wasting due to disrupted WNT signaling altering adrenal zonation

  Disorders of isolated mineralocorticoid deficiency causing potentially life-threatening salt-wasting crisis early in life have been associated with gene variants of aldosterone biosynthesis or resistance, but in some patients no such variants are found. WNT/β-catenin signaling is crucial for differentiation and maintenance of the aldosterone producing adrenal zona glomerulosa (zG). We describe a highly consanguineous family with multiple perinatal deaths or infants presenting at birth with failure to thrive, severe salt-wasting crises associated with isolated hypoaldosteronism, nail anomalies, short stature, and deafness. Whole exome sequencing revealed a homozygous splice variant in the R-SPONDIN receptor LGR4 gene (c.618-1G>C) regulating WNT signaling. The resulting transcripts affected protein function and stability, and resulted in loss of Wnt/β-catenin signaling in vitro. The impact of LGR4 inactivation was analyzed by adrenal cortex specific ablation of Lgr4, using Lgr4Flox/Flox mated with Sf1:Cre mice. Inactivation of Lgr4 within the adrenal cortex in the mouse model caused decreased WNT signaling, aberrant zonation with deficient zG and reduced aldosterone production. Thus, human LGR4 mutations establish a direct link between LGR4 inactivation and decreased canonical WNT signaling with abnormal zG differentiation and endocrine function. Therefore, variants in WNT signaling and its regulators should systematically be considered in familial hyperreninemic hypoaldosteronism.

  Study EGAS00001006808

• WES melanoma biopsies (UV1-hTERT-mm)

  The dataset contains phenotypes of 14 melanoma biopsies sequenced in connection with the study UV1-hTERT-mm, where the thereapeutic cancer vaccine UV1 is combined with ipilimumab in treatment of melanoma patients.

  Dataset EGAD00001007648

• FFPE CRC WGS Data

  The data consists of 3 BAM files. Two of three BAMs are tumour FFPE samples (1 repaired-FFPE; 1 unrepaired-FFPE); The other BAM file is sequenced from normal colon tissue

  Dataset EGAD00001007716

• Nanopore medulloblastoma data

  Nanopore data from 3 medulloblastoma samples of which 2 are tumor-normal pairs sequenced with the MinIon and one is tumor only data sequenced on the PromethIon. The data consists of BAM files aligned using minimap2

  Dataset EGAD00001010851

• Colon adenomas and adenocarcinomas and matched mucosae

  Whole exome sequencing of neoplastic colorectal lesions, matched normal mucosa and peripheral blood leucocytes from 7 individuals. Data is contained within FASTQ files.

  Dataset EGAD00001010875

• Genomic Profiling Reveals Spatial Intra-tumour Heterogeneity in Follicular Lymphoma

  Follicular lymphoma (FL) is an incurable indolent non-Hodgkin’s lymphoma (NHL) that behaves heterogeneously and is synonymous with the reciprocal translocation t(14;18)(q32;q21), leading to aberrant constitutive over-expression of BCL2 [ref]. High risk groups with poor overall survival include patients that transform to a high grade lymphoma, most commonly diffuse large B cell lymphoma (DLBCL) or progress early (within 2 years) of receiving treatment. Recently several studies have shed light on the diverse genomic landscape of FL, with frequently mutated genes including those involved in chromatin remodelling, (CREBBP, KMT2D, EZH2, EP300), immune modulation (TNFRSF14), JAK-STAT (STAT6, SOCS1), NF-ĸB (CARD11, MYD88, TNFAIP3) and mTORC1 signalling (RRAGC) [ref]. To date, the majority of these studies have either focussed on inter-patient genetic heterogeneity or established the extent of clonal heterogeneity as a patient’s tumour evolves over time. Furthermore, these temporal studies have alluded to the existence of a tumour-repopulating population (referred to as the common progenitor cell (CPC)) that evades treatment and acts as a reservoir, seeding each subsequent relapse and transformation event. Although these previous studies have illuminated the longitudinal clonal dynamics that occur in FL, our understanding of the degree of spatial or intra-tumour heterogeneity (ITH) that exists within an individual patient thus far remains limited. Earlier studies have predominantly focused on differences in cytological grade and immunophenotype between spatially separated lymph nodes and bone marrow, the most common site of extra-nodal involvement in FL, with genomic profiling restricted to examining somatic hypermutation patterns in IgVH genes [ref]. In contrast next generation sequencing has been increasingly utilised in solid organ malignancies to derive comprehensive genomic profiles from spatially separated sites. The seminal study by Gerlinger et al revealed profound differences in the genetic make-up between individual primary and metastatic sites of renal cell carcinoma [ref]. Significant heterogeneity has since been demonstrated both between and within lesions in the same patient in lung, pancreas and breast cancer with presumed driver mutations distributed within the “branches” of the evolutionary phylogenetic tree, suggesting that a single biopsy is incapable of capturing the full genomic heterogeneity of an individual’s malignancy [ref]. This geographical heterogeneity not only adds to the diverse pool of tumour subclones that may contribute to drug resistance mechanisms but importantly, presents a major obstacle for precision-based approaches focussed on targeting specific lesions within a single biopsy. In FL, the exponential increase in clinical trials using novel agents such as EZH2, PI3K and BTK inhibitors reflects this shift in cancer care and along with the development of molecular prognostic scores such as the m7-FLIPI highlights the clinical need to accurately define genomic alterations with clinical relevance. As the majority of FL patients manifest disseminated tumour involvement, we sought to uncover the extent and clinical importance of spatial heterogeneity in FL by comprehensively genetically profiling 22 synchronously removed spatially separated biopsies from 9 patients. Using a combination of whole exome and targeted deep sequencing, our results inferred the complex subclonal architecture within these tumours and the mutational differences between anatomical sites, demonstrating cases with significant intrinsic genetic diversity.

  Study EGAS00001002492

• The complex SNP and CNV genetic architecture of the increased risk of congenital heart defects in Down syndrome

  Here we aimed to contribute to the description of the genetic architecture of Congenital heart defect (CHD) in Down syndrome (DS), and report the results of a genome-wide association study using samples from DS individuals with and without CHD. CHD is a common developmental defect of DS occurring in 40% of cases. This case-control GWAS includes 187 DS with CHD as cases, and 151 DS without CHD as controls.

  Study EGAS00000000129

• Gene Expression of Small Cell Carcinoma of the Ovary-Hypercalcemic Type (SCCOHT)

  Small cell carcinoma of the ovary-hypercalcemic type (SCCOHT) is a rare and aggressive form of ovarian cancer afflicting young women at a median age of 24 years. SCCOHTs are characterized by loss of protein expression of SWI/SNF chromatin remodeling ATPases SMARCA4 and SMARCA2 through mutation and epigenetic silencing, respectively. This study aims to establish gene expression profiles of this cancer through RNA-Seq of fourteen pathologically confirmed cases of SCCOHT tumors.

  Study phs001528

• OICR: Molecular Pathological Epidemiology of Colorectal Cancer

  Colorectal cancer, the second most commonly diagnosed cancer, is a biologically heterogeneous disease. To characterize the molecular attributes of colorectal tumors, we conducted targeted sequencing at the Ontario Cancer Research Institution (OICR) of tumor and matched normal DNA samples from 2,542 colorectal cancer cases in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) [phs001078] and the Colon Cancer Family Registry (CCFR). These consortia are based on cohort and population-based case-control studies.

  Study phs002050

• Reference Profiles of ExRNAs in Normal Human Pregnancy

  In this study, we did a comprehensive exRNA profiling of plasma and serum specimens from healthy pregnant women, sampled at different gestational time points, and including subjects with diverse geographical and ethnic backgrounds. This study also contains samples from male and female healthy donors to provide a baseline. The aim of this study is to identify miRNAs that can predict the gestation age and to build a miRNA profile across gestation using small RNA-seq data.

  Study phs003182

• Mobile Technology to Identify Mechanisms Linking Genetic Variation and Depression in Intern Health Study (IHS)

  The Intern Health Study is an NIH-funded longitudinal cohort study that assesses stress and mood in medical interns at institutions around the US, enrolling over 3000 new interns each year. We are hopeful that data collected in this study will further understanding of the psychological, genetic, and program factors involved in the development of depression under stress, and make a real change in the residency experience.

  Study phs001826

• Genetics and Pathophysiology of Autoinflammatory Disorders

  In this study, patients with suspected disorders of inflammation and innate immune system dysregulation will undergo whole exome sequencing. This will involve both family studies (often trios or multiplex families including affected and unaffected individuals) and sporadic cases. The overall objective is to discover rare/novel high-penetrance mutations in genes that have not yet been implicated as the cause of monogenic autoinflammatory diseases. The aim also includes discovery of variants associated with inflammatory disease susceptibility.

  Study phs001860

• Genetic Analysis of Syndromic Orofacial Clefting

  The goal of this study is to identify previously unknown genetic causes of human syndromic cleft lip/palate by using genome sequencing. Many previous studies have shown that isolated cleft lip and/or palate are not often likely to be monogenic or Mendelian diseases. We hope that by focusing on syndromic presentations, we will find novel causes of disorders which include orofacial clefting among their phenotype(s). Data provided will be fastq files from sequencing partners.

  Study phs002997

• Panel sequencing of endocrine-resistant breast cancer

  Patients with endocrine-resistant breast cancer in Stockholm Sweden. DNA obtained from patients primary and relapse tumors, and tumor-free lymph nodes used as germline control. DNA was extracted from formalin-fixed paraffin-embedded tissue and sequenced by 370-gene panel-based sequencing with Kapa HyperPlus library preparation and Twist Bioscience hybrid capture. Custom bait sets (panels) from Twist Bioscience. Paired end 2x150 bp using NovaSeq X. The data is presented as fastq-files.

  Study EGAS50000000236

• Prognostic whole-genome and transcriptome signatures in colorectal cancers

  Colorectal cancer (CRC) is caused by a sequence of somatic genomic alterations affecting driver genes in core cancer pathways1. To understand the functional and prognostic impact of cancer-causing somatic mutations, we analysed the whole genomes and transcriptomes of 1,063 primary CRCs in a population-based cohort with long-term follow-up. This study constitutes the largest integrated genome and transcriptome analysis of CRC to date, and links mutations, gene expressions and patient outcomes.

  Study EGAS50000000124

• Circulating tumour DNA (ctDNA) data of High Grade Serous Ovarian Cancer Patients

  This study contains circulating tumour DNA (ctDNA) data derived from longitudinal plasma samples of High Grade Serous Ovarian Cancer (HGSC) patients belonging to the DECIDER study (NCT04846933). Ovarian cancer kills more than 40 000 women in Europe each year, and HGSC is the most common and most difficult to treat subtype of this disease. This study contains different sequencing datasets with samples from different stages during the treatment of the patients.

  Study EGAS50000000674

• ResolveCRPS study - RNA-fragment sequencing from snap-frozen skin biopsies

  Complex Regional Pain Syndrome (CRPS) is a disabling pain disorder with unclear cutaneous molecular mechanisms. To identify gene-expression signatures linked to pain intensity and disease progression, we profiled the local transcriptome of CRPS-affected skin. 42 patients agreed to skin biopsies from the CRPS-affected area, which underwent low-input total RNA-seq. Full experimental and bioinformatics protocols are provided in the associated publication and its supplementary material.

  Study EGAS50000001061

• Predicting resistance to chemotherapy using chromosomal instability signatures

  The aim of this study is to assess whether three chromosomal instability signature biomarkers are capable of predicting resistance to standard chemotherapies, namely platins, taxanes and anthracyclines. As part of this study we compiled a proof of principle cohort of ovarian cancers treated with these therapies, profiled using the Illumina TSO500 panel. Analysis of these data demonstrated that accurate biomarker calling can be computed from these gene panel data.

  Study EGAS50000000992

• Bulk and RIP-seq transcriptome datasets from skin fibroblasts in PTBP1- and PTBP2-related disorders

  PTBP1- and PTBP2-related disorders are rare human conditions that cause variable neurodevelopmental phenotypes, including intellectual disability and behavioral problems such as autism spectrum disorder, anxiety, aggressiveness, and attention disorders, with or without hyperactivity. PTBP1-related disorder is also associated with skeletal dysplasia. In this study, we generated bulk RNA sequencing and RNA immunoprecipitation sequencing (RIP-seq) data from skin fibroblasts obtained from patients and healthy controls.

  Study EGAS50000001210

• The cellular state space of AML unveils novel NPM1 subtypes with distinct clinical outcomes and immune evasion properties

  Acute myeloid leukemia (AML) is a genetically and cellularly heterogeneous disease. We characterized 120 AMLs using bulk genomic and transcriptomic analyses (WES, MP-WGS, RNA-seq), and single-cell RNA sequencing (scRNA-seq). Our results reveal an extensive cellular heterogeneity that distorts the bulk transcriptomic profiles. Notably, NPM1 mutated AML could be stratified into two novel, clinically relevant classes (NPM1class I and NPM1class II).

  Study EGAS50000001084

• New classification of occlusive cerebrovascular diseases by combining diagnostic imaging and genetic analysis of RNF213

  The aim of the study is to unravel the genetic and environmental background of moyamoya disease and to understand the pathophysiology of the disease by utilizing radiological evaluations. We will identify susceptibility genes other than RNF213. We also assess whether genetics affects radiological characteristics including collateral development, tortuosity of the main trunk of the arteries and the extent of stenosis. Environmental factors will be evaluated such as feces, urea, and cerebrospinal fluid.

  Study JGAS000540

• Whole Transcriptome Sequencing of NXF1 or CRM1 depleted Cell

  mRNA exporters, NXF1 and CRM1 are known to function in mRNA export. However, since each target mRNA has not been identified genome-widely, it is not clear whether they export exclusive mRNA subsets. To reveal this point, we prepared the nuclear and the cytoplasmic RNAs under either exporter inhibited condition and carried out RNA-seq. In these experiments, we also focused in the export machinery of aberrant transcripts that usually retained and decayed in the nucleus.

  Study JGAS000294

• Rare Germline Variants in CDKN2A-Negative Children and Adolescents with Cutaneous Melanoma

  Cutaneous melanoma is a complex disease influenced by both environmental and genetic factors. Inherited susceptibility plays a significant role, involving a combination of high-, intermediate-, and low-penetrance genes. Melanoma in children and adolescents has been speculated to have a stronger genetic component due to the early onset. This study investigates germline variants in early-onset melanoma through exome sequencing of 154 patients in Australia diagnosed with cutaneous melanoma before the age of 20.

  Study EGAS50000001311

• Tenk10k Phase 1: Whole Genome Sequencing

  TenK10K Phase 1 is a dataset of matched human whole-genome sequencing (WGS) from 1,925 individuals, and single-cell RNA sequencing (scRNA-seq) from over 5 million peripheral blood mononuclear cells across 28 immune cell types. Single-cell ATAC sequencing was additionally performed on a subset of 922 individuals. This EGA study consists of the WGS data from 1,925 individuals while a separate EGA study comprises the scRNA-seq and scATAC-seq data.

  Study EGAS50000001654

• High Altitude Pulmonary Hypertension

  The Central Asian Kyrgyz highland population provides a unique opportunity to address genetic diversity and understand the genetic mechanisms underlying hypoxia-induced high altitude pulmonary hypertension (HAPH). While a significant fraction of the population is unaffected, there are susceptible individuals who display HAPH in the absence of any lung, cardiac or hematologic disease. We report herein the analysis of the whole genome sequencing of healthy individuals compared with HAPH patients and other controls.

  Study EGAS00001003171

• IgCaller

  IgCaller is a python program designed to fully characterize the immunoglobulin (IG) gene rearrangements and oncogenic translocations in lymphoid neoplasms from whole-genome sequencing (WGS) data. Using a cohort of 331 patients comprising different subtypes of B-cell neoplasms, we demonstrate that IgCaller identifies both heavy and light chain rearrangements providing additional information on their functionality, somatic mutational status, class switch recombination, and oncogenic IG translocations. We provided here IG reads of the previously unpublished WGS.

  Study EGAS00001004298

• WGS and WES of 78 pairs Chinese gastric cancer

  Gastric Cancer (GC) is a highly heterogeneous disease. To identify potential clinically actionable therapeutic targets that may inform individualized treatment strategies, we performed whole-exome sequencing on 78 GCs of differing histologies and anatomic locations, as well as whole-genome sequencing on two GC cases, each with 3 primary tumours and 2 matching lymph node metastases. The data showed two distinct GC subtypes with either high-clonality (HiC) or low-clonality (LoC).

  Study EGAS00001001056

• Exome_sequence_of_probands_in_Barrett_s_oesophagus_families

  Barrett?s oesophagus is common in the UK affecting 2 % of the population. Family history has beenrecorded among the 4000 Barrett's cases collected so far and have 241 families. Among them wehave assessed 6 multiplex families with proven Barrett?s and defined as having 1 pro band and atleast 3 affected first degree members. We propose to exome sequence the probands of these sixfamilies to assess the presence of pathogenic rare coding variants.

  Study EGAS00001000531

• The genomic landscape of recurrent ovarian high grade serous carcinoma: the BriTROC-1 study

  The BriTROC-1 study, spanning 15 centres across the United Kingdom, is a prospective observational project investigating putative causes of relapse in high-grade serous carcinoma (HGSC). Potential genomic changes associated with disease recurrence are examined by studying paired tumour samples collected from patients at diagnosis and after relapse after receiving platinum based chemotherapy. Shallow whole genome sequencing and targeted amplicon sequencing are used to identify copy number aberrations and short variants respectively.

  Study EGAS00001007292