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• Clinical and genetic factors associated with tumor response to neoadjuvant (chemo)radiotherapy, survival and recurrence risk in rectal cancer

  Dataset consists of 216 samples, with each sample having a BAM, BAI and VCF file.

  Dataset EGAD00001011297

• Dataset to study clonal evolution in TCF3:PBX1 patient SJE2A063 using scWGS-seq

  scWGS-seq of flow sorted blast and normal cells from SJE2A063 with 80 high quality cells sequenced (75 blast and 5 normal)

  Dataset EGAD00001011328

• Dataset to study clonal evolution in TCF3:PBX1 patient SJE2A066 using scWGS-seq

  scWGS-seq of flow sorted blast and normal cells from SJE2A066 with 69 high quality cells sequenced (62 blast and 7 normal)

  Dataset EGAD00001011329

• Dataset to study clonal evolution in TCF3:PBX1 patient SJE2A067 using scWGS-seq

  scWGS-seq of flow sorted blast and normal cells from SJE2A067 with 78 high quality cells sequenced (73 blast and 5 normal)

  Dataset EGAD00001011330

• Genetic architecture of male infertility in India

  The dataset consists of whole exome and genome sequencing data from infertile males and his parent(s) and/or sibling(s)

  Dataset EGAD00001015606

• GCAT Olink Proteomics Long COVID

  Proteomic expression analysis of 171 individuals, in two time points, with confirmed SARS-CoV-2 infection, including 133 long COVID patients, assessed 1,395 protein biomarkers using Olink® technology.

  Dataset EGAD00010002814

• HELIUS DAC The HELIUS data are owned by the Amsterdam University Medical Centers, location AMC in Amsterdam, The Netherlands. To allow sharing of microbiome data collected in HELIUS with (inter)national researchers, 16s rRNA sequence analysis has been stored at the European genome-phenome archive (EGA; accession code EGAD00001004106). This requires that access needs to be granted, also because the HELIUS data are stored with relevant phenotypical variables. Access is granted to all researchers affiliated with an internationally recognized research institution who request to use the HELIUS data within the EGA context, after having signed the data transfer agreement. Any researcher can request the data by submitting a proposal to the HELIUS Executive Board as outlined at http://www.heliusstudy.nl/en/researchers/collaboration, by email: heliuscoordinator at amsterdamumc dot nl. The HELIUS Executive Board will check proposals if they do not conflict with ethical approvals and informed consent forms of the HELIUS study.

  Dac EGAC00001000895

• The Genomic Landscape of Tuberous Sclerosis Complex (TSC)

  In this study, we characterized the genomic landscape of tuberous sclerosis complex (TSC), a rare genetic disease causing multisystem growth of benign tumors and other hamartomatous lesions. We analyzed 127 human tissues, including 111 TSC-associated samples and 16 non-TSC negative controls, using multiple genomic platforms including whole exome sequencing, targeted sequencing of known disease-causative loci (TSC1 and TSC2), mRNA sequencing, high-density SNP arrays, and DNA methylation arrays.

  Study phs001357

• Mutational Landscape of MCPyV-Positive and MCPyV-Negative Merkel Cell Carcinomas

  Merkel cell carcinoma (MCC) is an aggressive neuroendocrine carcinoma of the skin most commonly found on the sun-exposed skin of older Caucasian adults. Roughly one-third of patients with MCCs die of the disease; therefore, MCC is the most lethal skin cancer on a case-by-case basis. 49 cases were studied, and putative cancer driver gene mutations and tumor antigens in both MCPyV-negative and MCPyV-positive MCCs were identified.

  Study phs002515

• 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

• Autosomal Recessive PGM3 Mutations Link Glycosylation Defects to Atopy, Immune Deficiency, Autoimmunity, and Neurocognitive Impairment

  To define a genetic syndrome of severe atopy, elevated serum IgE, immune deficiency, autoimmunity, and motor and neurocognitive impairment, eight patients from two families who had similar syndromic features were studied. Whole exome sequencing was performed to identify disease-causing mutations. A disease segregated with a novel autosomal recessive mutations in a single gene, phosphoglucomutase 3 (PGM3). The result defines a new Congenital Disorder of Glycosylation.

  Study phs000809

• Single Cell Analysis Reveals Immune Dysfunction from the Earliest Stages of CLL that can be Reversed by Ibrutinib

  We applied single cell RNA sequencing to broadly characterize circulating immune cells co-existing with leukemic cells during natural chronic lymphocytic leukemia (CLL) progression. We used peripheral blood mononuclear cells from patients diagnosed from monoclonal B-lymphocytosis (MBL) and CLL at different time-points, and age-matched healthy donors (HDs). We analyzed the differences in cell type proportions and immune cell states between MBL/CLL patients and HDs and over time.

  Study phs002705

• Very Low Tumor Mutation Burden Identifies Inflamed Recurrent Glioblastomas Responsive to Cancer Immunotherapy

  A subset of available tumors (with matched blood) from patients enrolled in a phase I clinical trial testing a recombinant poliovirus, published by Desjardins et al. NEJM 2018 (PMID:29943666), were analyzed by whole exome sequencing and RNA-seq. It was discovered that low tumor mutation burden correlated with survival outcome, and also discovered that low tumor mutation burden correlated with higher inflammatory gene signatures by RNA-seq.

  Study phs002270

• Breast Cancer Family Registry Early-onset Breast Cancer GWAS

  In order to enhance our understanding of the genetic etiology of breast cancer, this study analyzed 1,265,548 Hapmap3 single-nucleotide polymorphisms (SNP) among a discovery set of 3,523 EOBC incident cases and 2,702 age-matched population control women, all of whom were age 50 or younger at enrollment. Subjects were recruited from the eight sites, some of which oversampled cases with a personal or family history of breast cancer.

  Study phs001589

• Integrated Genomic and Transcriptomic Analysis of Small Cell Lung Cancer Reveals Inter- and Intratumoral Heterogeneity and a Novel Chemotherapy-Refractory Subtype

  We integrated histology, transcriptome, exome, and treatment outcomes of small cell neuroendocrine cancer (SCNC) from a range of metastatic sites, revealing complex intra- and intertumoral heterogeneity of neuroendocrine (NE) differentiation and transcriptomic subtypes (ASCL1, NEUROD1, POU2F3, YAP1 and ATOH1). High NE SCNCs were more likely to benefit from replication stress-targeted therapies, in contrast to non-NE tumors which were more likely to respond to immune response-targeted therapies.

  Study phs002541

• A Multimodal Atlas of Human Brain Cell Types 2021 Data

  Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This dataset consists of transcriptome samples collected during Patch-seq recordings from layer 5 pyramidal neurons in the human middle temporal gyrus.

  Study phs002697

• DIGEST: Dietary Influences on Glucuronidation, a Cross-Sectional Study of Diet and Metabolism

  Plasma samples derived from a study population of control participants (DIGEST: Dietary Influences on Glucuronidation, a Cross-Sectional Study of Diet and Metabolism) were used to profile miRNA circulating in plasma. RNA was isolated from plasma samples using the Qiagen miRNeasy kit. Libraries were prepared using Illumina TruSeq Small RNA Library Prep Kit. Libraries were sequenced on a HiSeq. Data from this sequencing project will be available through dbGaP.

  Study phs003223

• Epigenetic Damage in Women Living in LA Food-Desert Zip Codes

  This study investigated the impact of insulin resistance on chromatin acetylation and inflammation. Blood samples were obtained from women consented to City of Hope Institutional Review Board (IRB)-approved COH Protocol#/Ref#:18306/158149. Women provided demographic information and completed a survey assessing diet, housing and medical history. BMI was obtained from medical records. HgbA1c was measured and cytokine arrays were used to measure serum TNFalpha, IL6, IL15, IL16, IL23, Leptin, and CXCL1.

  Study phs003522

• Genetics and Pathobiology of Disorders of Keratinization

  The goal of this study was to identify potential drivers of disorders of keratinization in human. Individuals diagnosed with disorders of keratinization were recruited with no exclusion criteria. Saliva or blood samples were taken from consented patients or family members and DNA harvested immediately. Whole exome sequencing was performed (150-bp paired end reads) to 80X coverage via an Illumina NovaSeq 6000 sequencer. Identification of germline mutations was performed using GATK.

  Study phs004172

• Discovery of genetic factors associated with thiopurine-induced severe adverse events

  Despite NUDT15 variants showing significant association with thiopurine-induced adverse events (AEs) in Asians, it remains unclear whether additional genetic variants should be tested to predict AEs. To clarify it, we performed a genome-wide association study to discover additional variants associated with thiopurine-induced severe AEs, alopecia and leukopenia. GWASs of these AEs were performed with 1221 Japanese patients with inflammatory bowel disease using population-optimized genotyping array and imputation.

  Study JGAS000661

• Whole exome sequencing of Zimbabwean patients with suspected Mendelian disorders

  This study presents whole exome sequencing data from Zimbabwean individuals with suspected Mendelian disorders, including sickle cell disease, Fanconi anemia, haemophilia, and muscular dystrophy. The dataset includes both affected individuals and family members to support inheritance-based analyses. Variant calling was performed using the Illumina DRAGEN pipeline, with downstream variant prioritisation and interpretation conducted using the Zi-Mendelian bioinformatics pipeline. This study supports rare disease genomics and precision medicine efforts in African populations.

  Study EGAS50000001708

• Whole genome sequencing data of pediatric TCF3::PBX1 acute lymphoblastic leukemia

  TCF3::PBX1 leukemia is a rare subtype of B-cell acute lymphoblastic leukemia (B-ALL), occurring in approximately 3–5% of pediatric cases. It results from a chromosomal translocation t(1;19)(q23;p13), generating the TCF3::PBX1 fusion gene, which disrupts normal transcriptional regulation and contributes to leukemogenesis. Although historically associated with poor prognosis, contemporary risk stratification and intensified therapy have significantly improved outcomes, and both 5-years DFS and OS are nowadays ≥ 0.96.

  Study EGAS50000001257

• 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

• Single nuclei RNA sequencing on Primary and Maladaptive FSGS patient samples

  We used single-nucleus RNA-sequencing to identify differentially expressed transcriptional signatures in kidney biopsies of well-phenotyped primary vs. maladaptive FSGS patients. We included cryopreserved kidney biopsy cores from adult patients with newly diagnosed primary FSGS (n = 9, all nephrotic), maladaptive FSGS (n = 9, not nephrotic), proteinuric controls (PLA2R-positive membranous nephropathy, n = 3), and healthy controls (n = 4). We identified 120,751 high-quality nuclei, including 2,471 podocytes and 1,574 parietal epithelial cells (PECs).

  Study EGAS50000001070

• DO NOT USE - Whole genome sequencing of SI-NETs from five patients

  Small intestine neuroendocrine tumor (SI-NET), the most common cancer of the small bowel, often displays a curious multifocal phenotype with several intestinal tumors centered around a regional lymph node metastasis, yet the typical path of evolution of these lesions remains unclear. Here, we determined the complete genome sequences of 37 tumors from 5 patients with multifocal SI-NET, allowing elucidation of phylogenetic relationships between multiple intestinal tumors and metastases in individual patients.

  Study EGAS00001004435

• Single-cell transcriptomic analyses of peripheral blood mononuclear cells, peritoneal fluid, and peritoneal metastases from patients with colorectal cancer

  The data published here contains single-cell RNA- sequencing (scRNAseq) on peripheral blood mononuclear cells (PBMC), peritoneal fluid (PF), and peritoneal metastases (PM). PBMC, PF and, where possible, PM was acquired from patients with colorectal cancer (CRC) and subjected to 3' scRNAseq using the 10X Genomics (Chromium Single Cell 3’ Reagent). Sequencing was performed in a paired-ended fashion on either the HiSeq4000 or the NovaSeq6000.

  Study EGAS50000000173

• Single-cell RNA-sequencing and cellular indexing of transcriptomes and epitopes of peripheral blood mononuclear cells and peritoneal fluid from patients with achalasia

  The data published here contains cellular indexing of transcriptomes and epitopes (CITE-seq) and single-cell RNA- sequencing (scRNAseq) data on patients with achalasia. Paired PBMC and PF were subjected to 3' scRNAseq and CITE-seq, respectively. All single-cell data was generated using the 10X Genomics (Chromium Single Cell 3’ Reagent) and sequenced in a paired-ended fashion on the NovaSeq6000.

  Study EGAS50000000174

• Broad utility of ultrasensitive analysis of ctDNA dynamics across solid tumors treated with immunotherapy

  Plasma ctDNA sequencing data from samples collected from a pan-cancer cohort of patients with advanced-stage disease treated with IO therapies. This study highlights the broader applicability of ultrasensitive ctDNA as a biomarker across cancer types and immunotherapy modalities. Here, we applied a whole-genome, tumor-informed approach to study ctDNA in 202 advanced-stage cancer patients treated at VHIO. This study captures the plasma sequencing data from the project.

  Study EGAS50000001271

• scRNAseq of acute myeloid leukemia

  This study analyzes T-cell transcriptional state in acute myeloid leukemia (AML) and healthy donors. The goal of the study is to correlate T-cell transcriptional states abundances with response to chemotherapy. 12 samples (5 baseline and post-treatment, 2 baseline-only) from AML patients and 3 samples from healthy donors were collected and sequenced on Illumina platforms. The files were created using the GRCh38 reference through CellRanger count (10xGenomics).

  Study EGAS50000000357

• 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

• Genomic Profiling of an anti-PD-L1 treated cohort of Newly Diagnosed GBM patients

  Checkpoint inhibitor therapy has limited efficacy in the outcomes of patients with glioblastoma (GBM). This study involves whole exome sequencing of newly diagnosed glioblastoma patients treated with concurrent atezolizumab, radiation therapy, and temozolomide. By analyzing 29 tumor-normal pairs, the study aims to explore the correlation between tumor genomics and the efficacy of PD-L1 blockade treatment outcomes and further identify which patients may benefit more from such therapy.

  Study EGAS50000000783

• Whole genome sequencing of PDAC tissues an PDOs

  whole genome sequencing (WGS) on 48 PDOs (established from 39 tumors) and 4 tissues samples. The majority of PDOs were established from treatment-naive and localized tumors. Histopathologically, the majority of PDAC tumors from which PDOs were established displayed a conventional morphological pattern, with two containing squamous components (defined as adenosquamous), and one classified as a signet-ring tumour. 7 of the PDOs were grown in a culture medium lacking both WNT3A and RSPO1.

  Study EGAS50000000193

• Whole-exome sequencing (WES) analysis of untreated head and neck cancer patient-derived xenografts (PDXs) matched patient tumor tissue and normal mucosa tissue.

  WES analysis was performed on untreated patient tumor/normal mucosa tissue and matched patient-derived xenograft (PDX) models of primary head and neck squamous cell carcinoma (HNSCC) to investigate the preservation of tumor-specific genomic alterations in the in vivo context. 183 total samples were sequenced with paired reads on 8-10 lanes from different flowcells. They were loaded as 3538 separate files to maintain the data as it was received from BGI - each sample is therefore composed of 5 separate EGAN with 2-4 files each, adding a 0.1 - .. - 0.5 to each BioSample ID to generate sample aliases. All R1 (and R2, separately) files referring to a BioSample ID should be concatenated to obtain fastq files corresponding to single patients or PDXs.

  Dataset EGAD50000002325

• RNA sequencing of untreated head and neck cancer patient-derived xenografts (PDXs) and matched patient tumor tissue.

  RNA sequencing was performed on untreated patient tumor tissue and matched patient-derived xenograft (PDX) models of primary head and neck squamous cell carcinoma (HNSCC). The aim of this analysis was to characterize the transcriptional landscape of the tumors in the in vivo setting. 117 total samples were sequenced with paired reads on 10 lanes from different flowcells. They were loaded as 2400 separate files to maintain the data as it was received from BGI - each sample is therefore composed of 5 separate EGAN with 4 files each, adding a 0.1 - .. - 0.5 to each BioSample ID to generate sample aliases. All R1 (and R2, separately) files referring to a BioSample ID should be concatenated to obtain fastq files corresponding to single patients or PDXs.

  Dataset EGAD50000002278

• Exome sequencing of early and late passage Patient Derived Xenogratf Tumoroids with matched Patient Derived Xenogratfs and matched normal liver

  The breadth and depth at which cancer models are interrogated contribute to successful translation of drug discovery efforts to the clinic. In colorectal cancer (CRC), model availability is limited by a dearth of large-scale collections of patient-derived xenografts (PDXs) and paired tumoroids from metastatic disease, the setting where experimental therapies are typically tested. XENTURION is a unique open-science resource that combines a platform of 129 PDX models and a sister platform of 129 matched PDX-derived tumoroids (PDXTs) from patients with metastatic CRC, with accompanying multidimensional molecular and therapeutic characterization. In this specific dataset we focused our attention on early (passage 3) and late (passage 8-12) PDXTs with their matched PDXs and normal liver

  Dataset EGAD50000000266

• Targeted gene fusion sequencing (Fus-seq) in mesothelioma

  This is a small pilot data set to test the feasibility of cDNA exomes across 1200 cancer cell line panel. cDNA exomes or Fus-seq is further explained in this studies Abstract.

  Dataset EGAD00001000361

• Testing the feasibility of genome scale sequencing in routinely collected FFPE cancer specimens versus matched fresh frozen samples

  Testing the feasibility of genome scale sequencing in routinely collected FFPE cancer specimens versus matched fresh frozen samples

  Dataset EGAD00001000255

• RNA sequencing data of pediatric TCF3::PBX1 acute lymphoblastic leukemia

  TCF3::PBX1 leukemia is a rare subtype of B-cell acute lymphoblastic leukemia (B-ALL), occurring in approximately 3–5% of pediatric cases. It results from a chromosomal translocation t(1;19)(q23;p13), generating the TCF3::PBX1 fusion gene, which disrupts normal transcriptional regulation and contributes to leukemogenesis. Although historically associated with poor prognosis, contemporary risk stratification and intensified therapy have significantly improved outcomes, and both 5-years DFS and OS are nowadays ≥ 0.96.

  Study EGAS50000001797

• ecDNA copy number heterogeneity

  Neuroblastoma exhibits significant inter- and intra-tumour genetic heterogeneity and varying clinical outcomes. Here, we used DNA and RNA sequencing from the same single cells in cell lines and neuroblastoma patients to investigate these effects. We reveal extensive intercellular ecDNA copy number heterogeneity. We also provide direct evidence of how this heterogeneity influences the expression of cargo genes, including MYCN and its downstream targets, and the overall transcriptional state of neuroblastoma cells.

  Study EGAS50000000509

• Whole-exome sequencing of HPV-negative HNSCC to identify pathway alterations

  This study applies whole-exome sequencing (WES) to characterize genomic alterations in HPV-negative head and neck squamous cell carcinoma. Tumors were analyzed to derive pathway-level alteration scores, enabling stratification into Hedgehog-high and Hedgehog-low groups. The genomic data were integrated with imaging, transcriptomic, and functional analyses to investigate tumor-intrinsic Hedgehog signaling. The study aims to identify molecular features associated with biologically distinct tumor subgroups.

  Study EGAS50000001550

• 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

• 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

• UROMOL 2020 - RNA-seq data

  The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we performed a large integrative multi-omics analysis of patients diagnosed with NMIBC (n=834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters.

  Study EGAS00001004693

• Whole_Genome_Sequencing_of_JK_Family

  In collaboration with Dr David Savage, we have identified a patient with a very unusualphenotype, lacking almost all visceral fat, but showing a massive accumulation of white fattissue behind her neck and significantly elevated liver fat.Whole exome sequencing of the proband and her unaffected parents and brother has beenrun previously, however no causative variant has been found and the sequencing coveragewas generally poor. We propose to conduct whole genome sequencing of all 4 familymembers at a depth of 30X.

  Study EGAS00001001323

• Whole-genome sequencing analysis of low-grade astrocytomas within the ICGC PedBrain Tumor Project

  In order to investigate the full range of genetic alterations contributing to the tumourigenesis of low-grade astrocytoma, we have conducted a next-generation sequencing-based analysis on a large series of matched tumor-normal pairs. This study, conducted by the International Cancer Genome Consortium PedBrain Tumor Project (ICGC PedBrain, http://www.pedbraintumor.org/), has revealed multiple new insights into the biological basis of this tumor entity.

  Study EGAS00001000381

• Whole_genome_sequencing_of_a_Grem1_mutant_human_tumour

  The BMP antagonist Grem1 has been shown to be associated with a rare human polyposissyndrome (HMPS). We have shown that there is a 40KB duplication on chrom 15 found insome patients with HMPS. Traditional serrated adenomas (rare sporadic polyps) share somemorphological features with HMPS polyps and it has long been hypothesised that they are thesporadic version of HMPS polyps. We have obtained of one of theselesions and in this project we aim to characterise this tumour.

  Study EGAS00001000562

• WGS and WES of pediatric osteosarcoma

  Despite being the most common childhood bone tumor, the genomic characterization of osteosarcoma remains incomplete. Very few metastatic cases have been sequenced to date, a required step to better understand the progression and evolution of this tumor. Here, we present an integrative analysis of whole genome and whole exome sequencing (WGS and WES) of a cohort of primary and metastatic pediatric osteosarcoma, in order to identify recurrent genomic alterations between and within patients.

  Study EGAS00001003342

• APCDR AGV Project: Whole genome sequencing of 3 African populations (curated data)

  The African Genome Variation Project (AGVP) provides a resource to help design, implement and interpret genomic studies in sub-Saharan Africa (SSA) and worldwide. The AGVP represents dense genotypes from 1,481 and whole genome sequences (WGS) from 320 individuals across SSA. As part of the AGVP we sequenced 3 African populations; Baganda from Uganda (4x), Zulu from South Africa (4x), Gumuz, Wolayta, Oromo, Somali and Amhara from Ethiopia (8x).

  Study EGAS00001000960

• SOFT_study___sequencing_premenopausal_breast_cancer

  Our project will examine the role of PIK3CA mutations and their sensitivity to endocrine therapies and its role, with the addition of complete ovarian suppression. We plan to test our hypotheses using tumour samples collected from patients enrolled in the SOFT/IBCSG24-02 clinical study (Suppression of Ovarian Function Trial – (NCT00066690). SOFT is a phase III trial that randomised 3066 premenopausal women to evaluate if adding ovarian suppression to adjuvant endocrine therapy will improve clinical outcomes.

  Study EGAS00001000983

• 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