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• RNA sequencing data of pediatric T-cell acute lymphoblastic leukemia

  T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy accounting for approximately 15–25% of pediatric and adult ALL cases. Despite significant therapeutic improvements over the last decade, the prognosis of T-ALL remains less favorable than that of B-ALL, with 5-year EFS and OS of around 76–82% and 80–88%, respectively, depending on the treatment protocol used. T-ALL patients often suffer from failure of induction therapy or early relapse, which is associated with a dismal prognosis. Approximately 10–15% of T-ALL patients experience relapse, and survival after relapse is poor.

  Study EGAS50000001800

• Canadian Prostate Cancer Genome Network

  Over 5 years, CPC-GENE will sequence the genomes of 350 intermediate risk prostate cancers to identify genetic signatures that differ in cancers that responded well to treatment compared with those that did not. CPC-GENE will also sequence multiple regions of prostate cancer from the same gland to determine if and how the genetic make-up of prostate cancer varies within an individual man’s prostate

  Study EGAS00001000900

• The_Causes_of_Clonal_Blood_Cell_Disorders_Study___SCOR

  We will take a bone marrow aspirate and peripheral blood samples from a healthy patient aged around 60, and use flow cytometry to isolate 100 HSCs, 50 MEPs, and 50 GMPs. We will grow these up into colonies, then whole genome sequence each colony. Somatic mutations will act as a unique barcode for each clone. We will then design a panel for targeted resequencing of the mutations that we find. It will then be possible to look for these mutations in the peripheral blood over several years, to see the dynamics of how HSCs contribute to the peripheral blood in health.

  Study EGAS00001002132

• Role_of_Epigenetic_Memory_in_Human_Induced_Pluripotent_Stem_Cells_Pilot

  Fibroblasts have been shown to re-program into induced pluripotent stem (hiPS) cells, through over-expression of pluripotency genes. These hiPS cells show similar characteristics to embryonic stem cells including cell surface markers, epigenetic changes and ability to differentiate into the three germ layers. However it is unclear as to the extent of changes in gene expression through the re-programming process.. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000742

• Benchmarking of ProSolo, a new probabilistic single nucleotide variant caller for single cell DNA sequencing data. This study provides the whole exome sequencing dataset used in this assessment.

  Benchmarking of ProSolo, a new probabilistic single nucleotide variant caller for single cell DNA sequencing data that provides control over the false discovery rate of different single cell events at genomic sites (e.g. alternative allele presence or allele dropout). Here, we provide the newly generated whole exome sequencing data used in assessing ProSolo's performance. It contains whole exome sequencing of: a patient with a constitutional mismatch repair defect (MSH6-) and their parents and siblings, a granulocyte bulk sample and 5 single granulocytes sequenced after whole genome amplification.

  Study EGAS00001004123

• DNA methylation changes associated with hyperglycemia in type 1 diabetes

  This dataset includes DNA methylation profiles from 112 young with Type 1 Diabetes (T1D) at T1D diagnosis, who were longitudinally monitored for hyperglycemia over an average duration of 3 years. These datasets were generated using whole-genome bisulfite sequencing. It includes 1872 fastq files (i.e. 936 paired-end fastq files) generated through 150 bp paired-end sequencing on Illumina HiSeqX.

  Dac EGAC50000000237

• Age-dependent association of clonal hematopoiesis with COVID-19 mortality in patients over 60 years

  Genomic DNA extracted from peripheral blood of COVID-19 patients (n = 241 deceased, n = 239 survivors) was sequenced with the Myeloid Solutions™ panel of SOPHiA Genetics.

  Study EGAS50000000001

• Dynamic human admixture histories over the past ~1,300 years at the northern Himalayan frontier

  Whole-genome sequencing data from ten present-day individuals from Himachal Pradesh, India. DNA from these ten present-day individuals was converted to double-stranded libraries and sequenced on Illumina NovaSeq 6000 in 150 bp paired-end mode. The dataset consists of raw fastq and bam (hg19) files.

  Dataset EGAD50000001925

• The natural history of clonal haematopoiesis: phase 6 targeted

  Deep targeted sequencing of 56 genes associated with clonal haematopoiesis and haematological malignancy in peripheral blood-derived DNA from 11 older adults, each previously sampled 2-5 times over the preceding ~13 years.

  Dataset EGAD00001007683

• Phase II Therapeutic Trial of Mexiletine in Non-Dystrophic Myotonia (IND #77,021)

  Non-dystrophic myotonias are a group of rare muscle disorders caused by abnormalities in different muscle cell membrane proteins. Patients experience delayed muscle relaxation that causes impaired physical activity, stiffness, and pain. Mexiletine has been shown to be beneficial for symptoms of myotonia in case reports of patients with non-dystrophic myotonia, however, current management of these patients primarily depends on individual practitioners' preference. This study is a placebo-controlled, double-blind, cross-over treatment trial using mexiletine in non-dystrophic myotonias. The results, if positive, will permit the identification of mexiletine as an effective therapy for myotonia, making it a first-line therapy for patients with non-dystrophic myotonia. The specific aim of this proposal is to perform a randomized, double-blind, placebo-controlled cross-over study to assess whether mexiletine improves both quantitative and qualitative measures of myotonia in patients with non-dystrophic myotonia. Given the rarity of non-dystrophic myotonia, large randomized controlled treatment trials in these disorders have not been feasible in the past. Primary Outcome Measure: Patient-assessed symptom: stiffness as measured by an Interactive Voice Response Diary (IVR). Secondary Outcome Measures: a) patient-assessed pain, weakness, and fatigue as measured by IVR; b) clinical myotonia assessment; c) quality of life as measured by INQoL, SF36; d) a quantitative measure of grip myotonia; e) measurement of CMAP after short and long exercise; f) grading of myotonia on needle EMG.

  Study phs001311

• A Retrospective and Cross-Sectional Analysis of Patients Treated for SCID Since January 1, 1968

  Individuals with a past diagnosis of severe combined immune deficiency (including many cases of "leaky SCID", Omenn syndrome, and reticular dysgenesis) who have undergone blood and marrow transplant, gene therapy, or enzyme replacement in the past may be eligible for 6902. The purpose of 6902 is very similar to 6901, except 6902 is looking backwards at what has already been done in the past (compared to 6901 which is looking into the future). Over 800 patients with SCID are expected to be enrolled on 6902. This makes 6902 the largest study ever to describe outcomes for patients with SCID treated at many different hospitals around North America. One of the most important components of the 6902 study is the "cross sectional" study. Patients who have received their treatments (BMT, gene therapy, enzyme replacement) many years ago are asked to come back to the hospital where they were treated. During this visit, additional research blood work is drawn and information is gathered regarding long-term transplant outcomes such as infections, graft-versus-host disease, autoimmune diseases, and quality of life. This will allow PIDTC researchers to better understand long-term outcomes from procedures that occurred many years ago (sometimes over 30 years ago) - something that is not possible at the present time with 6901. This will help researchers to best design new treatments and clinical trials in the future for children with SCID.

  Study phs001326

• A Natural History Study of CMT1B, CMT2A, CMT4A and CMT4C

  Charcot Marie Tooth disease (CMT) is an umbrella term that covers any inherited peripheral neuropathy. People with CMT have a problem with the nerves that go to the feet and hands that cause muscle and sensation loss, as well as difficulty with balance. There are at least forty genes that, when mutated, cause CMT. The purpose of this study is to look at the natural history of CMT to see how it changes over time. Particular emphasis will be put on studying people with CMT1B, CMT2A, CMT4A, and CMT4C, though all people with CMT are encouraged to participate. Participants are invited back on a yearly basis to determine how the changes are occurring. Objectives: Determine the natural history and genotype-phenotype correlations of disease-causing mutations in CMT1B, CMT2A, CMT4A and CMT4C as well as other forms of CMT Determine the capability of the newly developed CMTPeds score and the Minimal Dataset to measure impairment and perform longitudinal measurements in patients with multiple forms of CMT over a ten-year window This is a longitudinal study of individuals with CMT. Study participants will be invited to be re-evaluated every year. Evaluations will consist of neurological histories and examinations, selected nerve conduction studies (NCS) as well as completion of assorted clinical outcome measures including the CMTNS, Minimal Dataset, and Peds CMT Scale. Selected CMT patients and controls will also receive glabrous skin biopsies.

  Study phs001419

• Michigan Polybrominated Biphenyl (PBB) Exposure Registry

  Humans are exposed to chemicals such as brominated flame retardants (BFRs) at unprecedented levels, and a wide variety of health effects are attributed to such exposures. However, the biological mechanisms that link exposures to its consequences remain unknown. An industrial accident in the 1970's exposed over 4000 individuals in rural Michigan to polybrominated biphenyl (PBB), a BFR that was present in the food supply for years prior to detection and management. Health effects are still evident in these individuals and their children. Because this population has been assessed regularly since the exposure, it is an ideal group in which to examine the molecular mechanisms that contribute to susceptibility, vulnerability and health effects. The goal of this project is to identify the genetic variants that associate with the rate of PBB elimination over time and integrate genetic and epigenetic datasets and identify complex gene-environment relationships in PBB exposed individuals. We will leverage data generated as part of past and ongoing studies in the Michigan Polybrominated Biphenyl Registry. We anticipate that this study will provide insight into how genetic variants and the environment interact in relation to PBB exposure and its health effects. We also anticipate the results of this study will be informative for studies of BFRs and other endocrine disrupting compounds with similar chemical properties. Note that methylation array data is available from NCBI GEO under GSE116339: Exposure to Polybrominated Biphenyl (PBB) Associates with DNA Methylation Differences Across the Genome

  Study phs001862

• Spit for Science

  Spit for Science™ is a university-wide research opportunity with the scientific goal of understanding how genetic and environmental factors come together to influence substance use and emotional health across the college years and beyond. To address this goal, we have comprehensively and longitudinally studied eligible incoming freshmen (18 years or older) from a diverse urban university, assessing a wide range of risk and protective factors, including both biological susceptibility and environmental risk, and a variety of outcome measures, particularly alcohol use and other substances, and difficulties with emotional health. Our goal is to assess how risk and protective factors dynamically interact to contribute to behavior health outcomes over time and plan to use findings from the project to inform prevention and intervention efforts and aid in university policy and programming in ways that can support and promote student success. Methods: In the fall of their freshman year, first-time college students over the age of 18 are invited to complete an online survey containing broad questions about personality and behavior, as well as family, friends, and experiences growing up. Students can also provide a saliva sample and participate in the DNA component of the project (participation in the DNA component is not a requirement for participation in the survey). Each subsequent spring students are asked to complete a follow-up survey, enabling researchers to study patterns of substance use and emotional health across the college years.

  Study phs001754

• Whole genome and transcriptome sequencing of lung cancer patients and cell lines at Genentech

  Version 1 Whole genome sequencing was applied to tumor and adjacent normal lung tissue in an individual non-small-cell lung cancer patient. We present an analysis of somatic changes identified throughout the tumor genome, including single-nucleotide variants, copy number variants, and large-scale chromosomal rearrangements. Over 50,000 high-confidence single-nucleotide variants were identified, revealing evidence of substantial smoking-related DNA damage as well as distinct mutational pressures within the tumor resulting in uneven distribution of somatic mutations across the genome. Version 2 Lung cancer is a highly heterogeneous disease in terms of both underlying genetic lesions and response to therapeutic treatments. We performed deep whole genome sequencing and transcriptome sequencing on 19 lung cancer cell lines and 3 lung tumor/normal pairs. Overall, our data show that cell line models exhibit similar mutation spectra to human tumor samples. Smoker and never-smoker cancer samples exhibit distinguishable patterns of mutations. A number of epigenetic regulators are frequently altered by mutations or copy number changes. A systematic survey of splice-site mutations identified over 100 splice site mutations associated with cancer specific aberrant splicing, including mutations in several known cancer-related genes. Differential usages of splice isoforms were also studied. Taken together, these data present a comprehensive genomic landscape of a large number of lung cancer samples and further demonstrate that cancer specific alternative splicing is a widespread phenomenon that has potential utility as therapeutic biomarkers.

  Study phs000299

• Estonian Biobank | Estonian Genome Center, University of Tartu

  The Estonian Biobank is the population-based biobank of the Estonian Genome Centre of University of Tartu. The biobank is conducted according to the Estonian Gene Research Act and all participants have signed broad informed consent. The cohort size is currently 51,535 people from 18 years of age and up. Metabolite concentrations (over 110; NMR and MS) are available for about 12,000 subjects; metabolic follow-up has been done for more than 2000 donors. GWAS has been performed on 20,000 subjects with different Illumina arrays and 2,500 have whole exomes and 2,400 full sequence. The data for the 2,400 fully sequenced samples is available through dbGaP.

  Study phs001230

• Genetics of Male Infertility Initiative (GEMINI)

  The Genetics of Male Infertility Initiative (GEMINI) project is a multi-center study designed to discover and characterize genetic variants conferring risk for male infertility. Patients enrolled in GEMINI have been clinically diagnosed with male infertility. Patients are recruited from multiple medical centers and are primarily of European ancestry. DNA from each patient is extracted from peripheral blood or saliva and used for exome sequencing. Genetic data generated by the GEMINI project has contributed to the discovery of over a dozen genes involved in human infertility. A VCF file of genetic data from GEMINI patients that have been appropriately consented will be available through dbGaP.

  Study phs003115

• Prostate Cancer Genome Sequencing Project

  Prostate cancer is a prevalent cause of cancer morbidity and mortality in men. In order to characterize the full range of somatic mutations in protein-coding genes that may drive the growth of prostate cancer, we sequenced the exonic regions of genomic and tumor DNA from over 100 patients with high-risk primary prostate cancer. Using hybrid capture and paired end DNA sequencing, we identified mutations in several novel putative prostate cancer genes. We interrogated copy number changes across tumor genomes using high-density SNP arrays, and identified a molecular subtype of cancer characterized by mutation of the ubiquitin ligase subunit SPOP and copy number loss at specific genomic loci.

  Study phs000447

• NHLBI TOPMed: Genetics of Asthma in Latino Americans (GALA)

  This is a case pharmacogenetic study of bronchodilator drug response (Albuterol) among racially admixed Latino children with asthma between the ages of 8-40. Lung function testing was performed using the KoKo PFT system and each participant was administered albuterol dependent on age. Participants under 16 years of age, were administered 2 puffs of albuterol from a standard metered dose inhaler and 4 puffs for participants over 16 years old. The overall goal is to identify genetic factors which are predictive of drug response in children with asthma. The principal tools include a questionnaire and biological specimen collection. Participants with asthma have physician-diagnosed asthma, symptoms and medications.

  Study phs001542

• NHLBI TOPMed: Childhood Asthma Management Program (CAMP)

  The Childhood Asthma Management Program (CAMP) was designed to evaluate whether continuous, long-term treatment (over a period of four to six years) with either an inhaled corticosteroid (budesonide) or an inhaled noncorticosteroid drug (nedocromil) safely produces an improvement in lung growth as compared with treatment for symptoms only (with albuterol and, if necessary, prednisone, administered as needed). The primary outcome in the study was lung growth, as assessed by the change in forced expiratory volume in one second (FEV1, expressed as a percentage of the predicted value) after the administration of a bronchodilator. Secondary outcomes included the degree of airway responsiveness, morbidity, physical growth, and psychological development.

  Study phs001726

• NHLBI TOPMed: Chicago Initiative to Raise Asthma Health Equity (CHIRAH)

  The CHIRAH project was a community-based study of the factors associated with asthma morbidity in the African American population. CHIRAH evaluated the role of various variables (biologic/environmental, psychologic/behavioral, and socioeconomic) on asthma morbidity and the function of changes in these variables on asthma morbidity in a longitudinal fashion. This involved collection of a cohort-based on school screening which was sampled to include similar numbers of underprivileged and non-underprivileged subjects which roughly equally represented self-reported African Americans and self-reported non-African Americans. Subjects were followed up every 3 months of this cohort over the course of 2 years.

  Study phs001605

• Whole genome sequencing data of paediatric T cell acute lymphoblastic leukemia (T-ALL)

  T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic malignancy accounting for approximately 15–25% of pediatric and adult ALL cases. Despite significant therapeutic improvements over the last decade, the prognosis of T-ALL remains less favorable than that of B-ALL, with 5-year EFS and OS of around 76–82% and 80–88%, respectively, depending on the treatment protocol used. T-ALL patients often suffer from failure of induction therapy or early relapse, which is associated with a dismal prognosis. Approximately 10–15% of T-ALL patients experience relapse, and survival after relapse is poor.

  Study EGAS50000001387

• Transcriptomic analysis of membranes from proliferative vitreoretinal diseases and isolated human retinal pigment epithelium

  This study investigates the transcriptomic profiles of proliferative vitreoretinal diseases (PVD) membranes, including proliferative vitreoretinopathy and epiretinal membranes collected from patients undergoing surgery, as well as human retinal pigment epithelial cells isolated from post-mortem donor eyes. Total RNA was extracted using AllPrep DNA/RNA Micro Kit (Qiagen) and cDNA libraries were prepared using the Ovation Solo RNA-seq Kit (Tecan). Multiplexed libraries were loaded onto a NovaSeq 6000 platform (Illumina), and sequences were generated using a 200-cycle kit. This study includes over 80 pathological and healthy samples to allow comparison of gene expression profiles and gain insights into the molecular mechanisms of PVD.

  Study EGAS50000001253

• GOSH_Paediatric_Tumour_23P108_WSSS_WGS_Managed_Access

  We have a case of two siblings (twins) who were born with nodular blue rashes over their body. The first twin had a large periorbital subcutaneous mass which was diagnosed as infantile undifferentiated sarcoma. This baby was too systematically unwell for chemotherapy and died at 12 days of age. The second sibling received two cycles of emergency chemotherapy however died due to disease progression and secondary haemorrhage at 2 months of age. Post-mortem normal and tumour samples have been taken. In addition to placental tissue and parental germline DNA, the goal will be to investigate intra-uterine transfer of sarcoma and the phylogenetic relationship of tumours in both twins.

  Study EGAS00001007536

• Identification of point mutations, expression perturbations, and gene fusions in T-cell acute lymphoblastic leukemia by RNA-seq

  RNA-seq is a promising technology to re-sequence protein-coding genes for the identification of single nucleotide variants, while simultaneously obtaining information on structural variations and gene expression perturbations. T-cell acute lymphoblastic leukemia (T-ALL) is caused by a combination of gene fusions leading to the over-expression of transcription factors reinforced by point mutations in oncogenes and tumor suppressor genes. We asked whether RNA-seq is suitable for the detection of driver mutations in these leukemias. We analyzed 31 T-ALL patient samples and 18 T-ALL cell lines by high-coverage paired-end RNA-seq.

  Study EGAS00001000536

• Isala Citizen Science Project: Cross-sectional branch

  The Isala Citizen Science Project, is named after the first female doctor in Belgium, Isala Van Diest (1842-1916). In a co-creative way, volunteers provided samples and data, proposed research objectives and survey questions, and helped to disseminate and interpret the objectives and results through different media platforms, jointly breaking taboos on women’s and vaginal health. In Flow 1, we collected a single sample from a cross-section of the population, characterized the microbiome, and associated it with data collected in questionnaires. Here, we provide extensive sample meta-data for over 3000 women who completed questionnaires on their lifestyle, diet, health, contraceptive use and environment.

  Study EGAS00001006934

• RNA sequencing of a glioblastoma PDX cohort

  Patient-derived xenograft (PDX) models represent an essential tool for the preclinical evaluation of novel targeted therapies and their combinations. In this project, we molecularly characterized a comprehensive panel of glioma PDX models with well conserved molecular and pathological features over multiple passages. PDX samples were subjected to next generation sequencing (NGS). Characterization of cancer-relevant features including driver mutations or cellular processes was performed using mutational and gene expression data in order to identify potential biomarker or treatment targets in glioblastoma. In summary, we reported a newly established and molecularly characterized panel of glioma PDX models with high relevance for translational preclinical research.

  Study EGAS00001007119

• RODAM

  The RODAM study assesses the health and wellbeing of Ghanaian residents in Ghana and Europe and follows them up over time. With this unique approach the RODAM study attempts to unravel the causes of cardiovascular disease and its risk factors among African migrants in Europe and non-migrants sub-Saharan Africa. Data are available upon reasonable request. These requests can be made to de RODAM-Pros cohort coordinator (rodamcoordinator@amsterdamumc.nl) or principal investigator, Professor Charles Agyemang (c.o.agyemang@amsterdamumc.nl).

  Dac EGAC50000000474

• Organoid cultures of early-onset colorectal cancers reveal distinct and rare genetic profiles

  Sporadic early-onset colorectal cancer (EOCRC) has bad prognosis, yet is poorly represented by cell line models. We examine the key mutational and transcriptomic alterations in an organoid biobank enriched in EOCRCs. We established paired cancer (n=32) and normal organoids (n=18) from 20 patients enriched in microsatellite-stable EOCRC. Exome and transcriptome analysis was performed. We observed a striking diversity of molecular phenotypes, including PTPRK-RSPO3 fusions. Transcriptionally, RSPO fusion organoids resembled normal colon organoids and were distinct from APC mutant organoids, with high BMP2 and low PTK7 expression. Single cell transcriptome analysis confirmed the similarity between RSPO fusion organoids and normal organoids, with a propensity for maturation on Wnt withdrawal, whereas the APC mutant organoids were locked in progenitor stages. CRISPR/Cas9 engineered mutation of APC in normal human colon organoids led to upregulation of PTK7 protein and suppression of BMP2, but less so with an engineered RNF43 mutation. The frequent co-occurrence of RSPO fusions with SMAD4 or BMPR1A mutation was confirmed in TCGA database searches. RNF43 mutation was found in organoid from a leukaemia survivor with a novel mutational signature; and organoids with POLE proofreading mutation displayed ultramutation. The cancer organoid genomes were stable over long culture periods, while normal human colon organoids tended to be subject to clonal dominance over time. These organoid models enriched in EOCRCs with linked genomic data fill a gap in existing CRC models and reveal distinct genetic profiles and novel pathway cooperativity.

  Study EGAS00001004063

• Quantification of chromosomal copy number aberrations by shallow whole-genome sequencing

  Detection of DNA copy number aberrations by shallow whole-genome sequencing (WGS) faces many challenges including lack of completion and errors in the human reference genome, repetitive sequences, polymorphisms, variable sample quality, and biases in the sequencing procedures.Formalin-fixed paraffin-embedded (FFPE) archival material, the analysis of which is important for studies of cancer, presents particular analytical difficulties due to degradation of the DNA and frequent lack of matched reference samples. We present a robust, cost-effective WGS method for DNA copy number analysis that addresses these challenges more successfully than currently available procedures. In practice very useful profiles can be obtained with 0.1 fold genome coverage. We improve on previous methods by; first, implementing a combined correction for sequence mappability and GC content, and second, applying this procedure to sequence data from the 1000 Genomes Project in order to develop a blacklist of problematic genome regions. A small subset of these blacklisted regions were previously identified by ENCODE, but the vast majority are novel unappreciated problematic regions. Our procedures are implemented in a pipeline called QDNAseq. We have analyzed over 1,000 samples, most of which were obtained from the fixed tissue archives of over 25 institutions.We demonstrate that for most samples our sequencing and analysis procedures yield genome profiles with noise levels near the statistical limit imposed by read counting. The described procedures also provide better correction of artifacts introduced by low DNA quality than prior approaches, and better copy number data than high-resolution microarrays at substantially lower cost.

  Study EGAS00001000642

• DNA methylation changes associated with hyperglycemia in type 1 diabetes

  This dataset includes DNA methylation profiles from 112 young with Type 1 Diabetes (T1D) at T1D diagnosis, who were longitudinally monitored for hyperglycemia over an average duration of 3 years. These datasets were generated using whole-genome bisulfite sequencing. It includes 1872 fastq files (i.e. 936 paired-end fastq files) generated through 150 bp paired-end sequencing on Illumina HiSeqX.

  Dataset EGAD50000000545

• DNA Methylation Profiles of T2D and Control Subjects from the GCAT Cohort Using EPIC v2

  This dataset contains DNA methylation data from 400 individuals (200 Type 2 Diabetes cases and 200 controls) from the GCAT (Genomes for Life) cohort. The methylation profiling was performed using the Illumina Infinium MethylationEPIC v2.0 BeadChip, which offers comprehensive coverage of over 850,000 CpG sites. Data are provided in IDAT file format, enabling raw signal-level analysis and downstream processing.

  Dataset EGAD00010002740

• Evolution of four ER+ breast cancers

  The evolution of four breast cancers was analyzed using longitudinal samples collected over 2-15 years. Whole-genome sequencing and single-cell RNA-Seq were used to analyze evolution. We have deposited VCF files for SNV, indel, and structural variant calls from WGS data, and a text file showing transcripts per million (TPM) expression for the single-cell RNA-Seq data.

  Dataset EGAD00001003303

• Longitudinal sequencing of a recurrent paediatric high grade neuroepithelial tumour

  We have studied a unique case of astroblastoma arising in a 6 year-old girl, with multiple recurrences over a period of 10 years, with the pathognomonic MN1:BEND2 fusion 11 surgical samples from either fresh frozen of paraffin embedded material and 1 blood sample were subjected to Illumina short read whole exome sequencing using Agilent SureSelect whole exome v4. Data is provided as 15 BAM files aligned to hg19 with bwa.

  Dataset EGAD00001004118

• Bajau and Saluan adaptation study data

  This dataset includes whole genome sequencing data from 93 Bajau and Saluan individuals that were used in the Ilardo et al 2018 study on adaptation to diving in Sea Nomads. Sequencing libraries were built using the TruSeq Nano DNA Library Preparation Kit on an Illumina NeoPrep instrument. Each pool was sequenced 125 Paired-End over one or two lanes on the Illumina HiSeq2500 (version 4 chemistry). Samples were sequenced to an average depth of 5x.

  Dataset EGAD00001004207

• IGPP Consortium GWSS Summary Results Data

  The data are the aggregate results from an IGPP Consortium genome-wide survival study, showing overall risk for Parkinson disease progression associated with each variant in a longitudinal cohort study. 11.2 million deeply imputed variants in 3,821 PD patients who were prospectively tracked with 36,123 visits over a median of 6.7 years from disease onset (inter-quartile range, 4.2 years) were analyzed. Data include hazard ratio, SNP ID, and P value.

  Dataset EGAD00001007060

• Unifying recovery dynamics in heterogeneous diseases exemplified by COVID-19

  To model recovery dynamics, using severe COVID-19 as the example, we align heterogeneous recovery trajectories via a novel computational scheme applied to longitudinally sampled blood transcriptomes. We thus generate pseudotime trajectories, which we then link to cellular and molecular mechanisms based on cell deconvolution analysis and molecular pathway prediction, thus presenting a unique framework for studying recovery processes over time.

  Dataset EGAD00001008331

• The BNT162b2 mRNA COVID-19 vaccine induces long-term effects on both adaptive and innate immune responses

  This dataset contains bulk RNA sequencing at different timepoints post-BNT162b2 mRNA COVID-19 vaccination. Stimulation experiments were performed at each of the timepoints (RPMI, Influenza, R848 and Influenza stimuli), resulting in 242 libraries distributed over 4 stimulations and 4 timepoints. Libraries were sequenced on the DBNSEQ platform.

  Dataset EGAD00001011042

• AHA Uganda Study RNAseq Dataset

  This dataset was generated as part of the AHA Uganda Study, an Acute Rheumatic Fever case-control prospective study conducted in Uganda. This dataset consists of raw fastqs from RNA sequencing for 266 samples (226 cases, 40 controls) from 162 individuals over five timepoints. RNA was extracted from Paxgene blood samples using the Sureselect HS2 library preparation kit. Sequencing was performed on Illumina NovaSeq 6000, yielding ~30-40 million raw paired reads per sample.

  Dataset EGAD00001015810

• GnRH Agonist-Induced Ovarian Suppression and Ovarian Steroids in PMDD and Controls

  In this study, lymphoblastoid cell line cultures (LCLs) from women with premenstrual dysphoric disorder (PMDD) and asymptomatic controls were compared via whole-transcriptome sequencing (RNA-seq) during untreated (ovarian steroid-free) conditions and after estradiol and progesterone treatment. In untreated LCLs, pathway analysis of the LCL transcriptome revealed, among others, over-expression of ESC/E(Z) complex genes (an ovarian steroid-regulated gene silencing complex) with significant overexpression of MTF2, PHF19, and SIRT1 (P<0.05) in cells from women with PMDD compared with controls. Finally, mRNA expression of several ESC/E(Z) complex genes were increased by progesterone in controls only, and decreased by estradiol in PMDD LCLs.

  Study phs001344

• Genomic landscape of Neutrophilic Leukemias of Ambiguous Diagnosis

  Chronic neutrophilic leukemia (CNL), atypical chronic myeloid leukemia (aCML), and unclassified myelodysplastic syndrome/myeloproliferative neoplasms (MDS/MPN-U) are a group of rare, heterogeneous myeloid disorders. There is strong morphologic resemblance amongst these distinct diagnostic entities as well as lack of specific molecular markers and limited understanding of disease pathogenesis, which has made their diagnosis challenging. Treatment has remained empirical, resulting in dismal outcomes. We, therefore, performed whole exome and RNA-sequencing on a cohort of over 100 cases of these rare hematologic malignancies and present the most complete survey of the genomic landscape of these diseases to date. [Abstract from manuscript currently under review so copyright not yet determined]

  Study phs001799

• Sequence Analysis of Mutations and Translocations Across Breast Cancer Subtypes

  This study combined whole exome (103 samples) and whole genome (22 samples) sequencing over a total of 108 breast tumors and matched normal DNA to identify novel mutations and translocations. Samples were subjected to paired-end Illumina sequencing with goal of 30x coverage of tumor/normal for whole genomes and 100x tumor/normal coverage for whole exomes. From these sequences, we used various computational techniques to identify somatic point mutations, insertion/deletions and structural rearrangements in these tumors. From these data, we identified new insights into the rates of background mutations in these cancers, novel recurrent mutated genes, and multiple gene rearrangements. One of these rearrangements appears to be a recurrent event in breast cancer.

  Study phs000369

• Impact of cryopreservation on transcriptome analysis of peripheral blood mononuclear cells

  To investigate the effect of cryopreservation on PBMCs, we conducted an experiment using samples from three healthy donors under four conditions: fresh PBMCs, PBMCs subjected to a single freeze–thaw cycle, PBMCs refrozen in freezing mix, and PBMCs refrozen in TRIzol. This resulted in a total of 12 samples (three replicates per condition). RNA was extracted from all PBMC samples using the Qiagen miRNeasy Mini Kit, followed by polyA RNA sequencing on the Illumina NovaSeq 6000 platform. Blood was collected from one male and two female adult donors. Sequencing yielded high-quality data, with an average of 27.8 million reads per sample and over 94% of bases exceeding a Q30 quality score.

  Study EGAS50000001196

• Tumor Profiler Ovarian Study

  The Tumor Profiler Study is an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease. Technologies used are digital pathology, targeted NGS, single-cell RNA, single-cell DNA, bulk RNA, bulk proteotyping, single-cell CyTOF, imaging mass cytometry, pharmacoscopy, 4i Drug Response Profiling, and cell-free DNA. These technologies were applied to 240 tumor samples collected over 3 years across three cancer indications: metastatic melanoma, metastatic epithelial ovarian cancer, and acute myeloid leukemia (AML). Here, we publish the scRNA and scDNA data of the ovarian cancer cohort.

  Study EGAS50000000885

• Tumor Profiler Melanoma Study

  The Tumor Profiler Study is an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease. Technologies used are digital pathology, targeted NGS, single-cell RNA, single-cell DNA, bulk RNA, bulk proteotyping, single-cell CyTOF, imaging mass cytometry, pharmacoscopy, 4i Drug Response Profiling, and cell-free DNA. These technologies were applied to 240 tumor samples collected over 3 years across three cancer indications: metastatic melanoma, metastatic epithelial ovarian cancer, and acute myeloid leukemia (AML). Here, we publish the scRNA, scDNA, and bkRNA data of the melanoma cohort.

  Study EGAS50000000599

• HIPSD&R-seq enables scalable genomic copy number and transcriptome profiling

  Single-cell DNA-sequencing (scDNA-seq) enables decoding somatic cancer variation. Existing methods are hampered by low throughput or cannot be combined with transcriptome sequencing in the same cell. We propose HIPSD&R-seq (HIgh-throughPut Single-cell Dna and Rna-seq), a scalable yet simple and accessible assay to profile low-coverage DNA and RNA in thousands of cells in parallel. Our approach builds on a modification of the 10X Genomics platform for scATAC and multiome profiling. In applications to human cell models and primary tissue, we demonstrate the feasibility to detect rare clones and we combine the assay with combinatorial indexing to profile over 17,000 cells.

  Study EGAS50000000691

• EGA submission account terms

  Submission account terms Each EGA submission account has a dedicated submission box. To ensure continued service to all submitters EGA submission boxes should not exceed 8Tb in size, and cannot exceed 12Tb. Those that are near to or exceeding this value will be monitored on a weekly basis by the helpdesk team and the submitter will be contacted and guidance provided accordingly on completing their metadata registration. You will be able to register your metadata associated with the files in your submission account via EGA Submitter Portal, Webin or the EGA REST API. EGA also requests that metadata is submitted within 60 days of upload data to a submission box. When we detect files that are over 60 days old in a submission box we will notify the submitter requesting that metadata be submitted or the files removed from the submission box. It is important to note that data is not archived at the EGA until the metadata describing the files has been associated and the archival process has completed. It is only when associated metadata has been submitted that the archival process into EGA is fully triggered. EGA removes files from the submission box once they have been successfully archived, so no action is required by a submitter to remove successfully archived files. Files over 90 days old will be deleted from the submission box unless EGA Helpdesk has been contacted and confirmed an exemption with the submitter.

  Documentation submission/terms

• South Asia Rheumatic Heart Disease Genetics Network

  Rheumatic heart disease (RHD) is a major cause of cardiovascular death and disability amongst young adults. Building on a sample collection established for and genotyped in several earlier successful candidate gene studies, this case-control study investigated host genetic susceptibility to RHD using a genome-wide approach. The current dataset comprises over 850 individuals recruited in Uttar Pradesh, India, including cases of RHD based on echocardiographic diagnosis and controls recruited on the basis of normal echocardiograms. For this analysis all available samples were genotyped using the Illumina HumanCore-24 BeadChip platform. Efforts are now underway to establish new sample collections in other areas of India as well as Pakistan and later other neighbouring countries.

  Study EGAS00001003565

• NHLBI TOPMed: Genetics of Cardiometabolic Health in the Amish

  The Amish Complex Disease Research Program includes a set of large community-based studies focused largely on cardiometabolic health carried out in the Old Order Amish (OOA) community of Lancaster, Pennsylvania (http://medschool.umaryland.edu/endocrinology/amish/research-program.asp). The OOA population of Lancaster County, PA immigrated to the Colonies from Western Europe in the early 1700's. There are now over 30,000 OOA individuals in the Lancaster area, nearly all of whom can trace their ancestry back 12-14 generations to approximately 700 founders. Investigators at the University of Maryland School of Medicine have been studying the genetic determinants of cardiometabolic health in this population since 1993. To date, over 7,000 Amish adults have participated in one or more of our studies. Due to their ancestral history, the OOA may be enriched for rare variants that arose in the population from a single founder (or small number of founders) and propagated through genetic drift. Many of these variants have large effect sizes and identifying them can lead to new biological insights about health and disease. The parent study for this WGS project provides one (of multiple) examples. In our parent study, we identified through a genome-wide association analysis a haplotype that was highly enriched in the OOA that is associated with very high LDL-cholesterol levels. At the present time, the identity of the causative SNP - and even the implicated gene - is not known because the associated haplotype contains numerous genes, none of which are obvious lipid candidate genes. A major goal of the WGS that will be obtained through the NHLBI TOPMed Consortium will be to identify functional variants that underlie some of the large effect associations observed in this unique population.

  Study phs000956

• Genetic Epidemiology Network of Arteriopathy (GENOA)

  The Genetic Epidemiology Network of Arteriopathy (GENOA) is one of four networks in the NHLBI Family-Blood Pressure Program (FBPP). GENOA's long-term objective is to elucidate the genetics of target organ complications of hypertension, including both atherosclerotic and arteriolosclerotic complications involving the heart, brain, kidneys, and peripheral arteries. The longitudinal GENOA Study recruited European-American and African-American sibships with at least 2 individuals with clinically diagnosed essential hypertension before age 60 years. All other members of the sibship were invited to participate regardless of their hypertension status. Participants were diagnosed with hypertension if they had either 1) a previous clinical diagnosis of hypertension by a physician with current anti-hypertensive treatment, or 2) an average systolic blood pressure ≥ 140 mm Hg or diastolic blood pressure ≥ 90 mm Hg based on the second and third readings at the time of their clinic visit. The Family Blood Pressure Program (FBPP), GENOA's parent program, is an unprecedented collaboration to identify genes influencing blood pressure (BP) levels, hypertension, and its target-organ damage. This program has conducted over 21,000 physical examinations, assembled a shared database of several hundred BP and hypertension-related phenotypic measurements, completed genome-wide linkage analyses for BP, hypertension, and hypertension associated risk factors and complications, and published over 130 manuscripts on program findings. The FBPP emerged from what was initially funded as four independent networks of investigators (HyperGEN, GenNet, SAPPHIRe and GENOA) competing to identify genetic determinants of hypertension in multiple ethnic groups. Realizing the greater likelihood of success through collaboration, the investigators created a single confederation with program-wide and network-specific goals.

  Study phs001238