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• Meso RNA-seq data (SSA cell line study)

  RNA-seq data for mesothelioma cell lines after spliceostatin (SSA) or control (DMSO) treatment.

  Dataset EGAD00001001914

• PETAL trial Whole Exome Sequencing (WES) from Tumor Samples

  Associated with Molecular profiling of DLBCL patients treated in the PETAL trial. Whole Exome Sequencing (WES) of 224 Tumor Samples. WES was used for Molecular Profiling by simultaneous screening of mutations. Data is Complementary to sWGS.

  Dataset EGAD50000001172

• Multiomic Dissection of Movement and Neurocognitive Toxicity Following BCMA-Targeting CAR T Cell Therapy

  Raw sequencing data (GEX, TCR, adn CSP libraries) for longitudinal cerebrospinal fluid and PBMC samples from a multiple myeloma patient treated with cilta-cel who developed MNT.

  Dataset EGAD50000002339

• WGS dataset of Hepatoblastoma tumoroid biobank as a key resource for tumour genetics

  WGS dataset of Hepatoblastoma tumoroid biobank with WGS of tumor and matched tumoroids

  Dataset EGAD00001015671

• INCLUDE Data Hub: NDA GUIDs for Down Syndrome Research

  The INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project is an NIH-wide collaboration that seeks to improve health and quality of life for people with Down syndrome. The INCLUDE Project Data Coordinating Center (DCC) and partners created the INCLUDE Data Hub, a centralized data resource that allows access to large-scale clinical and multi-omics datasets specific to Down syndrome and supports collaborative, cloud-based analysis to accelerate scientific discoveries related to Down syndrome and its co-occurring conditions. The INCLUDE Data Hub includes an innovative researcher data repository, a portal, and a cloud-based platform for data analysis. The portal provides access to de-identified demographics and clinical metadata, as well as multi-omics datasets, including whole genome sequences, transcriptomes, proteomes, and metabolomes. The INCLUDE Data Hub uses a 'registered access' model, whereby users can access the portal and associated data after agreeing to terms of use. From the Data Hub, users can also reach 'controlled access' data (e.g., whole genome sequences) only for those studies for which they have obtained approval by an NIH Data Access Committee through the corresponding dbGaP study. A thoughtful linkage strategy to identify duplicate participants across studies enables researchers to merge multiple datasets and data types to create richer datasets and reduce costly redundancies in large-scale data generation (e.g., -omics) while mitigating potential risks introduced by linkage.Based on recommendations from the NICHD Office of Data Science and Sharing, which completed a comprehensive assessment of existing Privacy Protecting Record Linkage (PPRL) and associated data governance solutions, the INCLUDE DCC and the associated NIH Steering Committee have implemented NIMH Data Archive Global Unique Identifiers (NDA GUIDs) in the INCLUDE Data Hub. The NDA GUID Tool is a government-owned and operated PPRL technology that enables researchers to link data from multiple sources to the same individual without revealing personally identifiable information (PII). With the NDA GUID Tool, the same participant information will return the same GUID whenever or wherever it is entered. The GUID itself is not personally identifiable information or protected health information. Sharing data with NDA GUIDs allows approved researchers to link together data on a single participant, even if the data were collected at different locations or through different studies or are distributed from different data repositories. This dbGaP study enables researchers to access an INCLUDE GUID Mapping File that includes all available NDA GUIDs and their associations to study-specific Participant IDs across studies in the INCLUDE Data Hub. This dbGaP study only distributes NDA GUIDs associated with the INCLUDE Data Hub datasets. To access the associated controlled-access datasets, add the corresponding dbGaP studies to your Data Access Request. A list of these studies is available on the INCLUDE Data Hub Portal: https://portal.includedcc.org/studies.

  Study phs003678

• High Density SNP Association Analysis of Melanoma: Case-Control and Outcomes Investigation

  This research builds upon an extensive resource of melanoma cases and hospital based controls collected over several years at the U.T. M.D. Anderson Cancer Center. The goal of this research is to identify novel susceptibility and outcome-related genes for melanoma using a systematic genome-wide association-based approach. Our goal is to conduct high-density SNP association and outcome studies. This dbGaP study contains samples from 2000 European ancestry cases and 1000 European ancestry controls using the Illumina OMNI1-Quad SNP chip. As a part of an ongoing R01 project, we have epidemiological data together with candidate gene results for 1000 of the melanoma cases and the controls. With regard to the outcome aspect of our design, as part of our melanoma Specialized Program of Research Excellence (SPORE) grant, our MelCore database contains comprehensive, prospectively maintained clinical information from all melanoma patients included in the study cohort, including primary tumor histopathology and staging information, standard and investigational blood tumor markers, details of surgical and systemic therapies, and extensive follow-up information, including time to relapse or recurrence, pattern of recurrence and survival duration. Finally, we intend to collaborate with the GenoMEL collaboration so we can jointly evaluate each other's findings. The goal of our analysis will be to identify novel genetic factors predisposing the development of melanoma, as well as genetic factors controlling melanoma stage at presentation, recurrence and progression. This study is part of the Gene Environment Association Studies initiative (GENEVA, http://www.genevastudy.org) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to melanoma through large-scale genome-wide association studies of 2000 European ancestry cases and 1000 European ancestry controls. Genotyping was performed at the Johns Hopkins University Center for Inherited Disease Research (CIDR). Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.

  Study phs000187

• Whole Exome Sequencing of Congenital Diaphragmatic Hernia Patients and Trios

  Congenital diaphragmatic hernia (CDH) is a common and severe birth defect characterized by structural defects of the diaphragm and by pulmonary hypoplasia. Congenital diaphragmatic hernia patient may present either as an isolated phenotype or together with other congenital anomalies in a complex phenotype. Despite the clinical significance of CDH, the underlying genetic and developmental pathways are incompletely understood. In order to establish a catalog of human genetic variation for this condition, we performed whole exome sequencing (WES) on 275 carefully phenotyped individuals with CDH in the Pediatric Surgical Research Laboratories at the Massachusetts General Hospital (Boston, MA, USA) and Boston Children's Hospital (Boston, MA, USA). The exome data generated are valuable for comparison of candidate genes derived from WES of other CDH cohorts or affected kindreds, and to provide ideal candidates for further functional studies with the ultimate goal of enhancing our understanding of the heterogeneous and, possibly, oligogenic molecular etiology of CDH. While familial clustering has been reported in rare kindreds, the majority of probands with CDH have no family history of CDH leading to the hypothesis that de novo variants are an important and relatively frequent etiological mechanism. In the second version of the study, we performed WES analysis on 87 trios, to assess the contribution of de novo mutations in the etiology of diaphragmatic and pulmonary defects and to identify previously unknown candidate genes. This dbGaP submission includes WES data on: (a) 20 new probands, (b) 9 probands also reported in the previous version (dbGaP accession no. phs000783.v1.p1), (c) 174 unaffected parents, including the parents of 67 previously reported probands. Combined analysis with other available cohorts of congenital diaphragmatic hernia revealed a genome-wide enrichment of likely gene-disrupting de novo variants (i.e., nonsense, frameshift or splice site), and missense de novo variants predicted in silico to be damaging.

  Study phs000783

• NHLBI Recipient Epidemiology Donor Evaluation Study (REDS)-III - Red Blood Cell Omics (RBC-Omics) Study

  The Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) is an initiative launched by the National Heart, Lung, and Blood Institute (NHLBI) with the goal to improve transfusion medicine practice, ensure safety and reduce risks. Extensive variation exists in donor iron metabolism, hemoglobin production, and hemolysis. Despite this variation, current blood banking guidelines regulating blood donation frequency, donation volume, and storage time and conditions remain uniform for all donors. The RBC-Omics study proposed to investigate if this approach is appropriate. Specifically, the RBC-Omics study: Established a multi-ethnic cohort of blood donors with well-characterized demographic, behavioral, and donation history. Developed a database linking donations from these blood donors to outcomes in transfusion recipients. Identify genetic factors impacting hemoglobin, donation history, ferritin, and iron metabolism. Identify markers and clinical factors associated with the iron-related disorders pica and restless leg syndrome (RLS). Define the genetic and metabolic basis for donor-specific differences in spontaneous, osmotic and oxidative hemolysis at the end of storage. RBC-Omics study has 13,403 blood donors over the age of 18 that were recruited from December 2013 to December 2015 at four REDS-III blood centers: the American Red Cross (Farmington, CT), the Institute for Transfusion Medicine (ITxM, Pittsburgh, PA), Blood Center of Wisconsin (Milwaukee, WI), and the Blood Centers of the Pacific (San Francisco, CA). All blood donors are healthy volunteers who passed donation screening and were not anemic. The samples were genotyped with a customized Affymetrix Axiom array called the TM-Array. The TM-array was specifically designed to cover genetic variations related to transfusion medicine. Also copy number polymorphisms in the alpha globin, beta globin and Rh gene clusters were added. The genetic variations among different ethnicity groups were considered as well.

  Study phs001955

• National Eye Institute (NEI) Age-Related Eye Disease Study 2 (AREDS2)

  The Age-Related Eye Disease Study 2 (AREDS2) was a multi-center, randomized Phase III clinical trial designed to assess the effects of oral supplementation of high doses of lutein, zeaxanthin, and omega-3 fatty acids (docosahexaenoic acid [DHA] and eicosapentaenoic acid [EPA]) in reducing the risk of progression to late age-related macular degeneration (AMD), progression to cataract surgery, and/or progression to moderate vision loss in high-risk participants. The effect of the study supplements on cardiovascular outcomes and cognitive function were also examined. Other study goals included evaluation of eliminating beta-carotene and/or reducing zinc in the original AREDS formulation on the progression and development of late AMD. AREDS2 sought to validate the AREDS AMD scale developed from the photographic data obtained from AREDS, (Study Accession: phs000001).Eighty-two clinical sites across the United States enrolled 4,203 participants aged 50 to 85 (mean age 74 years) between October 2006 and September 2008. Enrollment was restricted to people at high risk of progression to late AMD with either bilateral large drusen or large drusen in 1 eye and late AMD in the fellow eye. Follow-up assessments in the clinic occurred on an annual basis for an average of 5 years, with telephone calls every six months during each year. Blood or saliva samples were also collected from 2,000+ AREDS2 participants for genetic research. Of these, samples from 1,800+ AREDS2 participants were included in the International Age-Related Macular Degeneration Genomics Consortium - Exome Chip Experiment, and have exome chip data available in the dbGaP (Study Accession: phs001039). In addition, samples from 1300+ AREDS2 participants were included in the International Age-Related Macular Degeneration Genomics Consortium - Whole Genome Sequencing Study in the dbGaP (Study Accession: TBD). Of 1363 AREDS2 participants with whole genome sequencing, 488 previously participated in AREDS.Please see "The Age-Related Eye Disease Study 2 (AREDS2) Research Group" document for a full list of AREDS2 study contributors.

  Study phs002015

• A Genome-Wide Association Study of Sporadic ALS in an Irish Population (SIALS) and Sequencing and Analysis of an Irish Human Genome

  Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by loss of motor neurons. Epidemiological studies indicate that 2-5% of cases are familial, usually with an autosomal dominant pattern of inheritance. For a portion of these, causative genes have been identified. The remaining 95% of ALS cases are described as sporadic, and believed to result from a combination of genetic and environmental factors. This study utilized samples from Irish patients with sporadic ALS and Irish control individuals. The aim of the study was to identify susceptibility alleles for ALS in the Irish population. Genome-wide, single-nucleotide polymorphism (SNP) genotyping was undertaken using Illumina 550K version 3 chips. Genotyping data are available on 221 SALS patients and 211 controls. Future work will aim to examine ALS genetic risk at individual sequence level. As an initial step, as of September 2010 we have made available the human genome sequence from a single anonymous male control individual from the SIALS collection. Recent studies generating complete human sequences from Asian, African and European subgroupings have revealed population specific variation and illuminated disease susceptibility loci. The Irish population is of interest because of its location at the periphery of Europe and also the impact its emigrants have had on the genetics of populations in a number of other countries. We have identified sequence variants that may be specific to this population and have identified potentially novel disease associated variants. We describe a novel method for improving SNP calling accuracy at low genome coverage using haplotype information. Overall we demonstrate utility in generating whole genome sequences to test general principles and reveal specific instances of human biology. With increasing access to low cost sequencing we would predict that similar studies will emerge.

  Study phs000127