3613 results for "*geneti*"

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• Regulation of T Cell CXCL13 Production

  This study evaluated the signals that regulate production of the B cell chemoattractant CXCL13 by human CD4 T cells. Single-cell and bulk RNA-seq datasets evaluated the gene expression changes induced by TGF-beta and the aryl hydrocarbon receptor (AHR), two signals that regulate CXCL13 production. Bulk ATAC-seq data evaluated the epigenetic changes in T cell stimulated with an AHR agonist or antagonist. Ex vivo bulk RNA-seq data of sorted T cell subsets from blood of patients with lupus and control donors interrogated the gene expression differences in sorted T cell subsets. Ex vivo ATAC-seq data allowed comparison of epigenetic profiles of PD-1hi Tph cells from rheumatoid arthritis synovial fluid and PD-1hi T follicular helper (Tfh) cells from tonsil to PD-1low CD4 T cells from the same samples. Single-cell RNA-seq data of T cells from lupus patients before and after treatment with anifrolumab (anti-IFNAR) allowed interrogation of T cell populations that change with anifrolumab treatment. These datasets allowed for genomic interrogation of changes induced by AHR, TGF-beta, and interferon and their relationship to CXCL13 production.

  Study phs003582

• Targeting EGFR in NF1 Mutant Melanoma

  Our study focused on melanoma patients with driver mutations in the neurofibromin 1 (NF1) tumor suppressor gene, a subset of melanoma patients that have not benefitted from recent treatment advances. We have leveraged patient-derived short-term cultures (STCs) and multiomics approaches to identify molecular features that could be developed into therapies for NF1 mutant melanoma patients. Our studies revealed that the epidermal growth factor receptor (EGFR) is highly expressed and active in NF1 mutant melanoma cells, and that genetic or pharmacological EGFR inhibition impaired tumor cell proliferation, survival, and cell growth in patient-derived NF1 mutant but not NF1 wild-type melanoma models.

  Study phs003906

• dbGaP Collection: Compilation of Individual-Level Genomic Data for General Research Use

  This dbGaP Collection contains all authorized individual-level genomic datasets currently in dbGaP that are approved for General Research Use (GRU) and have no further limitations beyond those outlined in the model Data Use Certification Agreement. Access to this study will include any additional authorized individual-level GRU datasets that become available. Renewal of this study is required annually. Data Included in this Study Individual-level genomic data designated for general research use with no further use limitations or restrictions, that is, Data use does not require approval by an Institutional Review Board for secondary analyses Data have no publication embargo Data have no other use limitations (e.g., requirement for collaboration or publication; restricted for use by academic or not-for-profit organizations; restricted to health, medical, and/or biomedical research) In response to requests from the scientific community, the NIH implemented a change in the procedures for accessing individual-level GRU genomic data. Under the modified procedures, interested investigators can request GRU individual-level genomic datasets with a single application. However, please note that these data have not been harmonized. Additionally, to help expedite the processing of requests for individual-level GRU genomic datasets, the requests will be reviewed by a single, central Data Access Committee. The process for requesting these datasets is identical to the request process for non-GRU individual-level, controlled-access data, such as the expectation that investigators will abide by the NIH Policy for Sharing of Data Obtained in NIH Supported or Conducted Genome-Wide Association Studies and Data Use Certification Agreement. Effective April 24, 2018, the Data Use Limitations (DUL) for the Genes and Blood Clotting Study (GABC) (phs000304) was updated to Health/Medical/Biomedical, Not-for-profit Use Only (HMB-NPU). Additionally, the submitting institutions have requested the removal of the National Heart, Lung, and Blood Institute (NHLBI) "Grand Opportunity" Exome Sequencing Project (GO-ESP) Lung Cohorts Exome Sequencing Project: Genetic modifiers of Pseudomonas aeruginosa (Pa) lung infection acquisition in cystic fibrosis (phs000254) from the dbGaP Compilation of Individual-Level Genomic Data for General Research Use (dbGaP Compilation) (phs000688). As such, data from studies phs000304 and phs000254 are no longer available as part of the dbGaP Compilation (phs000688). Investigators must submit separate Data Access Requests (DARs) for the two studies and be approved by the NHLBI Data Access Committee.

  Study phs000688

• SCORCH: Single Cell Transcriptomic and Epigenomic Dissection of Opioid and Cocaine Responses in HIV

  Substance use disorder (SUD) is a common and debilitating condition characterized by compulsive use of an addictive substance, inability to control use of this substance, and the emergence of withdrawal symptoms in the absence of the substance. Despite great advances in our understanding of changes that occur in various brain regions in the context of addiction/SUD, we have a limited understanding of the diversity of cell types and gene expression profiles of cells within affected human brain regions, and how exposures to addictive substances, such as opioids and cocaine, influence the molecular properties and functions of these cells. Over 50% of HIV-infected patients experience neurological disorders, collectively termed HIV-Associated Neurocognitive Disorders (HAND) that range from the asymptomatic neurocognitive impairment to severely disabling dementia. The use of addictive substances by HIV-infected individuals has been linked to diminished immune function, increased neuroinflammation and neuronal injury, and exacerbation of HAND. Here, we seek to directly dissect the common and distinct molecular bases of SUD/HIV infection/HAND effects on distinct cell types by systematic profiling, dissection, computational integration, and experimental validation of their transcriptional, epigenomic, and genetic signatures across individuals, brain regions, and cell types. Aim 1: We use genetic, epigenomic, and transcriptional profiles, generating a total of ~28 million genome-wide maps at the single-cell (sc) level using 2,800 samples with 10,000 cells per sample; these span 7 brain regions (prefrontal cortex, nucleus accumbens, ventral tegmental area, dorsal striatum, insula, amygdala, hippocampus), two assays (scRNA, scATAC), four phenotypic groups (SUD+/HIV+, SUD+/HIV-, SUD-/HIV+, SUD-/HIV-), and a total of 200 subjects (50 in each phenotypic group). Aim 2: We integrate these datasets to predict driver genes, regulatory regions, variants, and pathways, and the cell types and brain regions where they act. Aim 3: We validate high-priority findings at the molecular level, and functionally validate the highest priority targets' ability to modulate addictive behaviors in mouse models of in vivo cocaine self-administration. The resulting datasets will help guide the search for new therapeutics by providing detailed therapeutic targets and the specific conditions where they are predicted to act.

  Study phs004675

• Lung Tissue Research Consortium (LTRC-BioLINCC)

  Data Access NOTE: Please refer to the "Authorized Access" section below for information about how access to the data from this accession differs from many other dbGaP accessions. Biospecimens: Access to Biospecimens is through the NHLBI Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC). Biospecimens from LTRC include DNA, Plasma, Serum, Tissue - FFPE Cassettes, Tissue – RNALater Frozen, and Tissue - Snap Frozen. Please note that use of biospecimens in genetic research is subject to a tiered consent. Objectives: The LTRC was a biobank resource established by the NHLBI to collect and distribute lung tissue, blood samples, clinical data, and radiographic studies from participants with chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), other related idiopathic interstitial pneumonias (IIP) and interstitial pneumonias associated with connective tissue diseases who undergo medically-indicated lung resection. All tissue and blood specimens and clinical data were banked centrally and stored for distribution to external investigators who have approved study proposals to investigate the pathogenesis or management of lung diseases. The ultimate goal of this program was to enable research that illuminates the pathobiology of lung diseases and leads to novel interventional treatments for these conditions. Background: Chronic lung diseases are a main cause of death and disability in the United States. COPD affects over 14 million individuals in the United States and represents the third leading cause of mortality. Cigarette smoking is a major risk factor. However, only one of six individuals who smoke develops COPD. This could imply either an individual susceptibility or an additional immunologic or infectious injury to lung cells. Current treatments offer symptomatic relief, but do not prevent disease progression. Better understanding of disease pathogenesis, including the potential roles of lung parenchymal cell apoptosis, immunologic injury, and inflammation may lead to therapies that improve survival and quality of life. Interstitial pneumonias, including IPF and those associated with connective tissue disease, are less common than COPD, but for many of these diseases there are poor outcomes. For example, IPF has a 50% survival rate 2-3 years following diagnosis, and currently no treatment exists which prolongs survival. The prevalence of IPF is approximately 28 cases per 100,000. The underlying histology of IPF is usual interstitial pneumonia (UIP), which can also occur in connective tissue diseases. The incidences of other interstitial pneumonias such as non-specific interstitial pneumonia (NSIP) or acute interstitial pneumonia (AIP) are less frequent but also occur as an expression of interstitial lung disease in the connective tissue diseases. Moreover, there is significant crossover of these three interstitial pneumonias so that cases of IPF/UIP may also reveal fibrotic NSIP and be complicated by episodes of AIP. This implies common injuries but dissimilar histological responses. All of these processes are characterized by epithelial injury, uncontrolled fibroproliferation and the deposition of collagen, irrespective of the histology. It is clear that a better understanding of the genesis of the interstitial pneumonias is required before effective interventions can be developed. Participants: A total of 4,486 participants were enrolled, and lung tissue was obtained from 3,333 of these participants.Design: Written informed consent of each participant was required before any LTRC procedure was performed. Phenotypic data were then obtained that included recording of relevant medical information, a limited exposure history, radiological evaluation, and pulmonary physiological and lung function testing. Questionnaires were administered to determine the extent of symptoms, associated medical illnesses, smoking, environmental and occupational exposures, and quality of life. Laboratory testing included pulmonary function testing, a six-minute walk test, and chest x-ray CT. Blood specimens were collected both for defining the clinical phenotype of donors and to obtain serum, plasma, and DNA for later investigative purposes. At the time of surgery, lung tissues were collected and processed for long-term storage. The LTRC collected only the 'non-tumorous' portions of lung tissue from surgical procedures performed for primary or metastatic lung tumors and received those specimens only after the local pathologist had procured all tissue required for clinical care. Samples of appropriate size were cut and placed in formalin, RNAlater, glutaraldehyde, or liquid nitrogen within 30 minutes of excision (approximately 5% of cases exceeded this target time). Blood and tissue specimens were subsequently shipped to a central Tissue Repository for further processing and long-term storage. A Radiology Center provided quality control and quality assessment of CT data. A Data Coordinating Center managed study operations and maintained a repository of study data. Conclusions: LTRC established a biospecimen collection that is unique in its size, diseases included, standardization of methods, and extent of phenotypic data, serving as a valuable resource to facilitate research on the pathobiology of lung diseases.

  Study phs003913

• Cellular and Molecular Profiling of Epithelial Ovarian Cancers and Associated Normal Tissues

  This collection of data includes bulk RNA-seq and whole genome bisulfite sequencing (WGBS) for ovarian cancer samples (microdissected into carcinoma and stroma compartments), as well as single-cell RNA-seq (scRNA-Seq) and bulk WGBS and enzymatic methyl-seq (EM-seq) normal human Fallopian tube samples. The data from the ovarian cancer samples was collected to understand cellular and molecular alterations associated with histological and molecular subtypes of ovarian cancer. Data for these samples are included in Djirackor, Heinze et al. (accepted at Cancer Research). The scRNA-Seq data was generated to identify the developmental trajectory, cell type composition, and point towards the cell-of-origin for high grade serous ovarian carcinoma (HGSOC). Further, this was intended to establish a normal RNA reference for the cancer data. Results from this study are described in Johnson, Majewski et al. (accepted at Nature Communications, preprint PMID: 40475517). The data from bulk DNA methylation on normal Fallopian tubes was used to optimize the bisulfite-conversion process for the cancer samples and to serve as an epigenetic reference in the cancer studies. This data is described in Morrison et al. (PMID: 34147133). Any questions can be directed to Hui Shen (hui.shen@vai.org).

  Study phs004702

• Impact of Genetic Variation on Response to GO Therapy in COG-AML Trials AAML03P1 and AAML0531

  The 340 de novo Acute Myeloid Leukemia (AML) patients (ages 1 month to 21 years) were enrolled in COG-AAML03P1 (NCT00070174). Everyone received standard chemotherapy regimen of ara-C, daunorubicin and etoposide (ADE) with addition of one 3 mg/m2 dose of Gemtuzumab Ozogamicin (GO) in induction 1 as well as in intensification II phase. The 1022 de novo AML patients (ages 0–30 years) were enrolled in COG-AAML0531 (NCT01407757). They were randomly assigned to receive either the standard ADE regimen (ADE arm, n = 511) or with the addition of one 3 mg/m2 dose of GO, during induction I as well as intensification II phase (ADE+GO arm, n = 511). Detailed study design, treatment regimen, and clinical outcomes of these two trials have been previously published (Cooper TM, Franklin J, Gerbing RB, et al., PMID:21766293 and Gamis AS, Alonzo TA, Meshinchi S, et al., PMID:25092781). The current study used genomic DNA from 1,225 pediatric patients treated in these two trials with 470 patients treated with standard chemotherapy in COG-AAML0531 (ADE arm) and 755 patients treated with addition of GO to standard therapy in COG-AAML03P1 and COG-AAML0531 trials (ADE+GO arm). The 132 SNPs in 42 genes within DNA-damage repair (DDR) pathways or genes implicated in mediating calicheamicin were selected for genotyping. These SNPs were genotyped using the Sequenom platform at the Biomedical Genomics Center, University of Minnesota. All SNPs had a call rate of more than 0.98 and were in accordance with the Hardy–Weinberg equilibrium. These genotypes were used to test for association with clinical endpoints as defined in the COG-AAML03P1 and COG-AAML0531 trials.

  Study phs003490

• Blood and Marrow Clinical Trials Network Evaluating Corticosteroids with Mycophenolate Mofetil vs. Corticosteroids with Placebo as Initial Systemic Treatment of Acute GVHD (BMT-CTN-0802-BioLINCC)

  Data Access NOTE: Please refer to the “Authorized Access” section below for information about how access to the data from this accession differs from many other dbGaP accessions.ObjectivesExplore the difference in response and survival rates for individuals with acute graft versus host disease (aGVHD) who received mycophenolate mofetil (MMF) plus corticosteroids versus corticosteroids alone.BackgroundIndividuals with certain cancers, genetic blood diseases, autoimmune diseases, and skeletal dysplasia may be candidates to receive an allogeneic hematopoietic stem cell transplantation (HSCT) as a potentially curative measure. A common and often fatal complication of receiving the transplant is acute graft-versus host disease (aGVHD). Historically, aGVHD has been treated with corticosteroids alone but favorable response rates are less than half prompting the need for better treatment options.ParticipantsAdult and pediatric participants were eligible for this study if they were the recipient of an allogeneic HSCT and newly diagnosed with aGVHD. Participants also needed to be able to swallow the MMF or placebo capsules and have an absolute neutrophil count > 500 cells per μL without growth factors. Disqualifiers for study eligibility included receipt of MMF or mycophenolic acid within 7 days of screening, uncontrolled infections, hepatic veno-occlusive disease, chronic GVHD, or renal failure on dialysis.A total of 235 patients participated in the study. Participants were randomized into either a treatment or placebo group. There were 116 participants in the treatment or MMF arm and 119 participants in the placebo arm.DesignBMT CTN 0802 was a phase 3 multicenter randomized double-blinded trial. Randomization was stratified by transplant center and grade of aGVHD (I-II vs III-IV) at study entry. Eligible participants who required GVHD therapy were treated within 72 hours of enrollment. All patients in the study received corticosteroids at a dose of prednisone 2 mg/kg per day orally (or methylprednisolone 1.6 mg/kg per day IV). Patients were also given MMF or the placebo at a dose of 1000 mg or 20 mg/kg (for patients Response to treatment was classified as complete, partial, progression, no response, or flare. Complete response (CR) was defined as complete resolution of all signs and symptoms of aGVHD, and a partial response (PR) was defined as improvement of 1 stage in 1 or more organs involved by GVHD without progression in others. Progression was defined as worsening in 1 or more organs, and no response was defined as stable disease or absence of improvement in any organ involved by GVHD within 14 days of therapy initiation. A flare in GVHD was defined as any increase in symptoms or therapy for aGVHD after an initial response (CR or PR). All toxicities were reported regardless of whether they were thought to be related to the study treatment.Adult study participants who were able to communicate in English also completed the MD Anderson Symptom Inventory (MDASI), a tool used to measure quality of life. Participants completed the inventory at enrolment and at day 56 ± 7 days.The primary end point was acute or chronic GVHD-free survival at day 56 after initiation of therapy.ConclusionsResults for this study concluded that the addition of MMF to corticosteroids as initial therapy for acute GVHD does not improve GVHD-free survival compared with corticosteroids alone. There was also no difference between the treatment arms in regards to quality of life measures (Bolanos-Meade J, Logan B, Alousi A et al., Blood. 2014;124(22):3221-3227).

  Study phs004840

• Tracking Therapy-Resistant Alterations in Childhood Acute Lymphoblastic Leukemia

  Relapse is currently the major cause of death in children with B-ALL. The goal of this study is to uncover the genetic underpinnings of relapsed B-ALL in the AALL1331 cohort (PMID: 33651090) via whole genome and transcriptome sequencing of matched diagnosis, relapse, and remission specimens. We aim to discover genetic alterations that drive treatment resistance in relapsed tumors. We also aim to investigate the feasibility of detecting residual tumors from remission samples with the ultimate goal to improve risk stratification using NGS-based minimal residual disease (MRD) detection. Here we only report data from patients in remission with the aim of determining MRD. We will submit corresponding data for the diagnosis and relapse components of our cohort in a future version of our study.

  Study phs003409

• National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III): Survey (Phenotype) Data Only

  This study includes survey (phenotype) data only from the National Epidemiologic Survey on Alcohol and Related Conditions–III (NESARC-III), comprising 36,309 participants and 4,053 phenotypic variables. Individual-level genetic data (N = 22,848 participants), along with corresponding phenotypic variables, are available through a separate dbGaP study (accession: phs001590). NESARC-III is a nationally representative, cross-sectional survey of the U.S. general population, sponsored by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and conducted in 2012–2013. The target population comprised noninstitutionalized U.S. civilians aged 18 and older, including residents of selected group quarters (e.g., group homes and workers' dormitories). Respondents were selected using multistage probability sampling: primary sampling units (PSUs) consisted of individual counties or groups of contiguous counties; secondary sampling units (SSUs) comprised Census-defined block groups; and tertiary sampling units were households within SSUs, from which eligible adults were randomly selected. Hispanics, Blacks, and Asians were oversampled. The final sample included 36,309 respondents, all of whom provided informed consent. To account for the complex survey design, analyses should incorporate design variables and sampling weights. Users should specify the following in SAS, Stata, or R: Cluster variable: VARUNIT Strata variable: VARSTRAT Weight variable: AUDWEIGHT NESARC-III collected detailed information on alcohol and drug use, substance use disorders, psychiatric disorders, physical health conditions, and related risk factors. The dataset also includes extensive sociodemographic variables (e.g., age, sex, race/ethnicity), adverse childhood experiences (e.g., sexual abuse, physical abuse, neglect), family history of substance use and psychiatric disorders, and other environmental risk factors, totaling 4,053 phenotypic variables. Please refer to the supporting documents (e.g., the codebook and questionnaires) for definitions, descriptions of the phenotypic variables, and additional details. The supporting documents can be found in Documents tab in dbGaP or NIAAA website (https://www.niaaa.nih.gov/research/data-archive-resources/niaaa-controlled-datasets/nesarc-iii-study).DSM-5 diagnostic assessments cover the following conditions: Substance Use Disorders: Alcohol use disorder Nicotine use disorder Cannabis use disorder Cocaine use disorder Opioid use disorder Mood Disorders: Major depressive disorder Persistent depressive disorder (dysthymia) Bipolar I disorder Bipolar II disorderAnxiety Disorders:Panic disorder Agoraphobia Social anxiety disorder (social phobia) Specific phobia Generalized anxiety disorder (GAD) Trauma-Related Disorder:Posttraumatic stress disorder (PTSD) Personality Disorders: Schizotypal personality disorder Borderline personality disorder Antisocial personality disorder Eating Disorders: Anorexia nervosa Bulimia nervosa Binge-eating disorder

  Study phs004548