13344 results for ""60+mice"+"6+weeks"+diet+study+2014+2017+DOI"

in 23.31 milliseconds.

• Genomic landscape of childhood acute lymphoblastic leukemia

  Abstract in preparation

  Study EGAS00001001317

• Epitope-linked Ig-seq of self-reactive plasma cells in celiac disease

  Study EGAS00001003658

• The University of Hong Kong Gastric Cancer Genomics Study Data Access Committee

  Dac EGAC00001000136

• POPS Pregnancy Outcome Prediction Study

  Dac EGAC00001000582

• The University of Hong Kong Gastric Cancer Organoids Genomics Study Data Access Committee

  Dac EGAC00001000981

• EGAD00000000028

  Aggregate results from a GWAS study on 3352 cases abd 3145 controls

  Dataset EGAD00000000028

• EGAD00000000029

  Aggregate results from a case-control study on stroke and ischemic stroke.

  Dataset EGAD00000000029

• EGAD00000000088

  Gabriel samples from the Karelia Allergy Study

  Dataset EGAD00000000088

• EGAD00000000089

  Gabriel samples from the Karelia Allergy Study

  Dataset EGAD00000000089

• Angiosarcoma whole exome

  Extension of angiosarcoma whole genome sequencing study

  Dataset EGAD00001000722

• CD3 positive T cells isolated from blood after dry immersion of eight healthy volunteers

  Study EGAS00001006846

• The genomic imprint of cancer therapies helps timing the formation of metastases

  Study EGAS00001003416

• Translational Gastroenterology Unit, University of Oxford Data Access Committee for the EPIC-CD study

  Dac EGAC00001003481

• The University of Hong Kong Gastric Cancer Organoids RHO Signaling Study Data Access Committee

  Dac EGAC00001002705

• Submission 6 - study_title 1 - edited

  Submission 6 - description 1 -edited

  Study EGAS50000000748

• Single cell RNA-sequencing of tissues from NSCLC patients treated with chemoimmunotherapy

  Study EGAS00001006728

• Organoid Models of Human Liver Cancers Derived from Tumor Needle Biopsies

  Study EGAS00001003115

• Multi Omics of glioma in the the Chinese Glioma Genome Atlas (CGGA) project

  Study EGAS00001004729

• Mixed Histology Lung Cancers Driven by Transcriptomic Features rather than Genomic Characteristics

  Study EGAS00001005140

• Whole-genome and transcriptome sequencing of blastic plasmacytoid dendritic cell neoplasm

  Study EGAS00001003660

• Targeted next-generation sequencing of 13 chordoid gliomas of the third ventricle

  Study EGAS00001002733

• Bone metastatic biopsies of breast cancer patients progressing on endocrine therapies.

  Study EGAS00001004268

• Male-biased migration from East Africa introduced pastoralism into southern Africa

  Study EGAS00001005232

• Somatic mutations in lymphocytes in patients with immune-mediated aplastic anemia

  Study EGAS00001004994

• Detailed molecular and immune marker profiling of archival prostate cancer samples

  Study EGAS00001004396

• Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia

  Study EGAS00001005819

• Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine

  Study EGAS00001004525

• Evaluation of the immune effects of tumor-treating electric fields (TTFields) in GBM patients

  Study EGAS00001005392

• A body map of somatic mutagenesis in morphologically normal human tissues (WGS)

  Study EGAS00001005458

• Single-cell characterization of anti-LAG3+anti-PD1 treatment in melanoma patients

  Study EGAS00001005580

• Tumour evolvability metrics predict recurrence in advanced localised prostate cancer (tumour data)

  Study EGAS00001006096

• Tumour evolvability metrics predict recurrence in advanced localised prostate cancer (normal data)

  Study EGAS00001006098

• Dataset with genome-wide array data from 64 Tunisian and 45 Moroccan individuals.

  Study EGAS00001006427

• TK-EPN862 - Patient-dervied xenograft model of Posterior Fossa A Ependymoma - WGS

  Study EGAS00001006843

• WGS of KCNQ2 R201C patient derived iPSC and its isogenic line

  Study EGAS00001007231

• Exploration of neuroblastoma xenograft models for tumor extracellular RNA profiling in murine blood plasma

  Study EGAS00001007295

• Determining genome-wide binding of ETS2 by CUT&RUN in primary human macrophages

  Study EGAS00001007560

• Single-cell sequencing of adipose-derived mesenchymal stromal cells and dermal fibroblasts

  Study EGAS00001006954

• Breast tissue methylation analysis

  Study EGAS00001005070

• Follicular Lymphoma Whole Genome and Transcriptome Sequencing

  Study EGAS00001006646

• Genomics-based characterization and personalized treatment in pleural and peritoneal mesothelioma

  Study EGAS00001007294

• Induction of trained immunity by influenza vaccine: impact on COVID-19

  Study EGAS00001005446

• Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer

  Study EGAS00001006648

• Human Inflammatory Skin Disease scRNA-seq

  Study EGAS00001005271

• Platelets sequester extracellular DNA, capturing tumour-derived and free fetal DNA

  Study EGAS00001006854

• scATAC-seq and combined scRNA-seq of the human first trimester neurodevelopment

  Study EGAS00001007472

• Methylation clocks - individual colon, small intestine and endometrial crypts

  Study EGAS00001005514

• Stabilising selection causes grossly altered but stable karyotypes in metastatic colorectal cancer

  Study EGAS00001004219

• Sensitive and reproducible cell-free methylome quantification with synthetic spike-in controls

  Study EGAS00001005069

• Genome-wide DNA Copy Number Analysis of high hyperdiploid acute lymphoblastic leukemia

  Study EGAS00001007049

• Low_Coverage_Sequencing_of_rare_human_histiocytic_tumour

  Sequencing of rare human histiocytic tumour

  Study EGAS00001000768

• Targeted_analysis_of_chondrosarcoma_cancer_genes

  Targeted analysis of chondrosarcoma cancer genes

  Study EGAS00001001765

• Sequencing_of_rare_human_histiocytic_tumour

  Sequencing of rare human histiocytic tumour

  Study EGAS00001000591

• Transcriptome sequencing in monozygotic twins discordant for Mayer-Rokitansky-Küster-Hauser syndrome

  Study EGAS00001006370

• Detection of Gene Fusions using Targeted Next-Generation Sequencing – a Comparative Evaluation

  Study EGAS00001004934

• Primary_angiosarcoma_Whole_Genome_Sequencing

  Whole genome sequencing of primary angiosarcoma

  Study EGAS00001000851

• Clonal Driver Neoantigen Loss under EGFR TKI and Immune Selection Pressures

  NNN

  Study EGAS00001007926

• Stromal cell diversity associated with immune evasion in human triple‐negative breast cancer

  Study EGAS00001005061

• Genome-wide methylation detection and episignature analysis using PacBio long-read sequencing

  Study EGAS00001008250

• Exome

  Exome Seq for Study EGAS00001001844

  Dataset EGAD00001002159

• Angiosarcoma RNA sequencing

  Extension of angiosarcoma whole genome sequencing study

  Dataset EGAD00001000738

• 20200819_EGA_Qld_Melanoma.radiomics

  A radiomics study integrating PET/CT, WES and RNAseq data

  Dataset EGAD00001006375

• Indonesian Genome Diversity Project 3

  Low coverage whole genome sequences (1-3x) were collected to study human genetic history across Wallacea archipelago and West Papuan Region of Indonesia . We collected 254 newly sequenced genomes mostly from previously undocumented populations including 9 communities in Wallacea and 3 in West Papuan regions. Out of 254, there are 8 high coverage whole genome sequences were produce in the study (L4).

  Dataset EGAD50000000647

• Targeted Sequencing Data for RESOLVE Clinical Trial

  This is a Phase II clinical trial. This research study is studying a combination of targeted therapies as a possible treatment for estrogen-receptor positive (ER+) endometrial cancer and low-grade serous ovarian cancer. The drugs involved in this study are: - Abemaciclib (also known as Verzenio™) - Letrozole (also known as Femara®) - Metformin (also known as Glucophage®) - Zotatifin (also known as eFT226) - Gedatolisib (also known as PF-05212384)

  Dataset EGAD50000001711

• Transcriptomic dataset from a phase II study of pembrolizumab and epigenetic modification with azacitidine in platinum-resistant epithelial ovarian cancer

  This dataset includes sequence files from bulk RNA sequencing of tissue biospecimens from a phase II study investigating epigenetic priming followed by immune checkpoint blockade in platinum-resistant epithelial ovarian cancer (NCT02900560). There are 48 bulk RNA sequencing files from 24 specimens included in this dataset.

  Dataset EGAD50000001664

• A study on personalized medicine in genitourinary cancers using genetic biomarkers

  We present a patient with MSI-high castration-resistant PC who showed a remarkable and durable response to pembrolizumab. Whole exome sequencing revealed approximate tumor mutation burden of 61 mutations/Mb as well as biallelic loss of MSH2.

  Study JGAS000510

• Whole-genome sequencing study of uveal melanoma

  Uveal melanoma is the most common primary intraocular cancer, characterized by metastasis-related mortality. Here, we explored whole-genome sequences from 40 primary uveal melanomas to illustrate the landscape of genomic mutations and investigate their association with prognosis.

  Study EGAS50000001603

• 10X snMultiome (ATAC+GEX) for the study of "SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities"

  10X snMultiome (ATAC+GEX) sequencing of 1 human reactive tonsil sample and 1 DLBCL sample for the study of "SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities"

  Dataset EGAD50000002277

• Gene_epression_regulation_in_cytokine_induced_immune_cell_states

  We isolated T cells and monocotyes from healthy platelet donors and cultured them in resting and stimulated conditions with addition of a range of cytokines. We performed RNA sequencing to assess impact of different disease-relevant cytokines upon immune cell responses.

  Study EGAS00001003823

• Study of Korean Parkinson's disease

  Single nucleotide variants (SNVs) associated with Parkinson’s disease (PD) have been investigated mainly through genome-wide association studies. Here, we conducted whole genome sequencing of 410 PD patients and 200 healthy individuals of the Korean population and identified disease-related SNVs.

  Study EGAS00001006811

• Peripheral blood RNA-sequencing in 4,732 participants of the INTERVAL cohort

  We performed bulk RNA-sequencing on peripheral blood collected from 4,732 blood donors recruited as part of the INTERVAL study. Using these data, we mapped gene expression and splicing quantitative trait loci (QTLs). Then, we integrated these data with protein, metabolite and lipid QTLs in the same individuals. The study aimed to identify the shared genetic etiology across transcriptional phenotypes, molecular traits and health outcomes in humans.

  Dataset EGAD00001008015

• Summary statistics of meta-analysis using two genome-wide association study of inflammatory bowel disease in Koreans.

  We combined samples from 1,469 inflammatory bowel disease (IBD) patients consisted of 896 Crohn’s disease (CD) and 573 ulcerative colitis (UC) and 4,041 controls used in our previously published GWAS with 1,726 additional IBD patients (725 CD and 1,001 UC) and 378 additional controls genotyped using the Asian Screening Array (ASA). We uploaded summary statistics of three meta-analyses in text files.

  Dataset EGAD00001006983

• Pre-diagnostic saliva microbiota of Finnish children with autoimmune diseases

  Pre-diagnostic saliva microbiota samples of Finnish children (aged 11/12 years). This is a case-control study, where case refers to the children who developed Type 1 DM or IBD later in life and control refers to the children who were free from these diseases. The aim of the study was to find biomarkers in saliva microbiota that may help us predict DM or IBD before the onset of these diseases.

  Dataset EGAD00001009984

• 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

• EORTC study on the evolution of driver mutations and MGMT promotor methylation in glioblastomas treated with standard of care: Correlation with survival and impact on trial design

  Precision medicine trials in glioblastoma should be conducted at tumor recurrence. However, second surgery for recurrent GBMs is not routinely performed and therefore molecular data is predominantly derived from primary samples. This study aims to establish the frequency of driver changes at tumor recurrence.

  Dataset EGAD00001004593

• GoDARTS T2D-GENES Exome Sequencing Study

  The GoDARTS T2D-GENES exome sequencing study includes 1924 samples, 965 T2D cases and 959 T2D controls, from European ancestry. This cohort is part of a larger exome sequencing effort from the T2D-GENES project and contains the exome sequencing vcf from the GoDARTS samples. The other data generated from the T2D-GENES project can be found in dbGAP. Samples underwent deep exome sequencing, with SNVs and INDEls called according to GATK best practices.

  Dataset EGAD00001004311

• International Verapamil SR/Trandolapril [INVEST] Genes Study

  INternational VErapamil SR-Trandolapril STudy (INVEST) was a prospective, multicenter, randomized, open-label, parallel-clinical trial that evaluated blood pressure response and adverse outcomes in patients randomized to either an atenolol-based or a verapamil SR-based hypertension treatment strategy in 22,576 patients with documented coronary artery disease and hypertension (PMID: 9809930,14657064). Hydrochlorothiazide and trandolapril were added as needed to achieve BP control or end organ protection in a protocol-defined manner. Briefly, the protocol required patients to be followed up at bassline, 6, 12, 18 and 24 weeks and then every 6 months thereafter until 2 years after the last patient was enrolled. At each visit, patients had BP and heart rate measured, clinical assessment performed, and additional antihypertensive medications added as needed to meet JNC VI blood pressure goals. The primary outcome was the first occurrence of all-cause death, nonfatal myocardial infarction (MI), or nonfatal stroke (clinicaltrials.gov identifier: NCT00133692). The genetic substudy of INVEST, INVEST-GENES, collected genomic DNA samples from 5,979 INVEST study participants. INVEST-GENES samples were genotyped on the Illumina OmniExpressExome GWAS chip. This data release includes 1529 samples that passed quality control including 657 whites, 537 Hispanics and 155 blacks. Two case-control subsets were created: one for the primary outcome of all-cause death, nonfatal MI or nonfatal stroke; the other one is for new-onset diabetes. Resistant hypertension was also evaluated in 1349 participants based on the medication use and blood pressure measurements at the visit prior to experiencing study outcomes or censoring (PMID:30237584).

  Study phs002319

• University of Washington Cerebrospinal Fluid Biomarker Study for Parkinson disease

  There is a clear need to develop biomarkers for Parkinson disease (PD) diagnosis and monitoring disease progression. In this study we evaluated cerebrospinal fluid (CSF) proteins, which are known to be critically involved in PD or identified in our preliminary profiling studies, aptamers, and RNAs as potential PD biomarkers. Access to subjects for this study was via the Pacific Northwest Udall Center (PANUC) and the Alzheimer's Disease Research Center (ADRC) at the University of Washington and Oregon Health and Sciences University (OHSU). Using CSF samples from 30 well-characterized patients with PD and 30 age-, sex-matched healthy controls, we prepared RNA seq libraries and performed deep sequencing of all RNA species, including small and long RNA, mRNAs, noncoding RNAs and differentially spliced transcripts. We then tried several methods for RNAseq data analysis to optimize our analysis pipeline. We identified a total of 3381 transcripts corresponding to 182 long intergenic RNAs (LincRNAs), 11 microRNAs (miRNAs), 2861 protein-coding transcripts, 200 pseudogenes and 127 antisense RNAs; some of them were differentially expressed between PD and control groups. Selected differentially expressed RNAs have been validated in the same set of CSF samples using real-time PCR (RT-PCR). Further validations in independent, larger cohorts of samples are still ongoing. Our results obtained so far suggested that CSF proteins and RNAs could be used as good indexes for PD diagnosis and disease severity/progression. This study is a part of the NIDDS-funded Parkinson's Disease Biomarkers Program (PDBP).

  Study phs000901

• Genomewide Association Study of Alcohol Use and Alcohol Use Disorder in Australian Twin-Families (OZ-ALC GWAS)

  The Australian twin-family study of alcohol use disorder (OZALC study) derives from telephone diagnostic interview studies of two general population volunteer cohorts of Australian twins (cohort 1, mostly born 1940-1964; cohort 2, born 1964-71) and the spouses of the former cohort - a total of over 11,000 families. Three coordinated studies, using a shared assessment protocol and with a shared goal of gene-discovery, were conducted - one funded by the National Institute on Drug Abuse, the others by the National Institute on Alcoholism and Alcohol Abuse - by investigators associated with the Midwest Alcoholism Research Center at Washington University in St. Louis, and investigators at Queensland Institute of Medical Research, Brisbane, Australia (led by Professor Nicholas Martin), using informative families identified from these cohorts. The first of these (NIDA Nicotine Addiction Genetics [NAG] project, PI Pamela Madden) identified index cases from the 3 cohorts with a history of heavy smoking (smoked 20 or more cigarettes daily, or 40 or more cigarettes on 1 or more occasions) and with additional available full siblings who were smokers, and interviewed and obtained blood samples from twins, and cooperative full siblings and parents, in order to identify families that would be informative for linkage analysis of a quantitative heaviness of smoking trait. The second identified additional families with an index case who either reported a history of alcohol dependence (DSM-IV), or scored above the 85th percentile on a quantitative measure of heaviness of alcohol use (alcohol factor score), derived from measures of frequency of heavy drinking, frequency of drinking to intoxication, and typical weekly consumption in standard drinks (all referenced to the respondent's heaviest drinking period) and of lifetime maximum 1-day alcohol consumption and maximum tolerance to alcohol (drinks before getting drunk or before feeling effects of alcohol). Interview and DNA were obtained from index cases and siblings, and DNA only from available parents. The goal of this second study (NIAAA OZ-ALCOHOL EDAC study, PI Andrew Heath) was to identify sibships including pairs who were either extreme concordant for the quantitative consumption measure (both scoring above the 85th percentile) or extreme discordant (one scoring above the 85th percentile and one scoring below the 30th percentile) that would be informative for linkage analysis. The third identified additional sibships solely on the basis of large sibship size, regardless of alcohol or tobacco use phenotypes (NIAAA OZ-BIGSIB study, PIs the late Richard Todd, Andrew Heath). From these coordinated studies a case-control series of alcohol dependent individuals and unaffected controls were constructed for a family-based Genomewide Association Study (OZALC-GWAS) of heaviness of alcohol use and alcohol dependence, funded by the National Institute of Alcoholism and Alcohol Abuse. These data are made available here for all investigators studying outcomes related to alcohol or tobacco use (including major depressive disorder).

  Study phs000181

• Jackson Heart Study (JHS) Cohort

  The Jackson Heart Study (JHS) is a large, community-based, observational study whose participants were recruited from urban and rural areas of the three counties (Hinds, Madison and Rankin) that make up the Jackson, MS metropolitan statistical area (MSA). Participants were enrolled from each of 4 recruitment pools: (1) random, 17%, (2) volunteer, 30%, (3) currently enrolled in the Atherosclerosis Risk in Communities (ARIC) Study, 31%, and (4) secondary family members, 22%. The final cohort of 5,306 participants included 6.59% of all African American Jackson MSA residents, aged 35-84, during the baseline exam (N-76,426, US Census 2000). Among these, approximately 3,600 gave consent that allows genetic research and deposition of data into dbGaP. Major components of three clinic examinations (see study history) include medical history, physical examination, blood/urine analytes, and interview questions on areas such as physical activity, stress, coping and spirituality, racism and discrimination, socioeconomic position, and access to health care. Extensive clinical phenotyping includes anthropometrics, electrocardiography, carotid ultrasound, ankle-brachial blood pressure index, echocardiography, CT chest and abdomen for coronary and aortic calcification, liver fat, and subcutaneous and visceral fat measurements, and cardiac MRI. At 12-month intervals after the baseline clinic visit (Exam 1), participants have been contacted by telephone to update information, confirm vital statistics, document interim medical events, hospitalizations and functional status, and obtain additional sociocultural information. Questions about medical events, symptoms of cardiovascular disease and functional status are repeated annually. Ongoing cohort surveillance includes abstraction of medical records and death certificates for relevant International Classification of Diseases (ICD) codes and adjudication of nonfatal events and deaths. CMS data are currently being incorporated into the dataset. Note: Regarding date variables warehoused in the Jackson Heart Study (JHS) Cohort on dbGaP, the coordinating center has developed an algorithm that will systematically review and de-identify any of the (nearly 100) date-related variable types stored in the data package. To simultaneously minimize (i) de-identifiability of the data and (ii) impact on analyses utilizing sensitive data elements, a participant-level random number was generated to avoid the necessity of sharing any potentially sensitive data. The coordinating center maintains an archived linkage of these data in their raw form and regularly reviews ad hoc requests to utilize the raw data on a project-by-project basis. The JHS Cohort is utilized in the following dbGaP substudies. To view genotypes, other molecular data, and derived variables collected in these substudies, please click on the following substudies below or in the "Substudies" section of this top-level study page phs000286 JHS Cohort. phs000402 ESP Heart GO JHS phs000498 JHS Allelic Spectrum Seq phs000499 JHS CARephs001069 MI Gen JHS phs001098 T2D GENES Exome Seq phs001356 Exome Chip phs002256 Cardiometabolic Renal Proteomics phs002369 Metabolomics Insulin Resistance

  Study phs000286

• CD3 bispecific antibody-induced cytokine release is dispensable for cytotoxic T cell activity

  Study EGAS00001003734

• Data Access Committee for study Genetics of Preeclampsia at High Altitudes

  Dac EGAC00001002097

• DAC Committee for the "PIK3CA mutation in a case of CTNNB1 mutant sinonasal glomangiopericytoma" study

  Dac EGAC00001002371

• Microbiome confounders and quantitative profiling challenge established microbial targets in colorectal cancer developmental stages

  Study EGAS00001007413

• Genomic validation of the revised Bethesda criteria in terms of pathogenesis and oncologic significance

  Study EGAS00001003959

• RNA sequencing of lung fibroblasts

  RNA sequencing of lung fibroblasts

  Study EGAS00001007857

• Activation of IL7RA signalling in human B-lymphoid precursors induces pre-leukemia

  Study EGAS00001003979

• Extreme intratumor heterogeneity and driver evolution in mismatch repair deficient gastro-esophageal cancer

  Study EGAS00001003434

• Biological and Therapeutic Implications of a Unique Subtype of NPM1 Mutated AML

  Study EGAS00001004872

• Inherited CD28 deficiency in otherwise healthy patients with disseminated warts and giant horns

  Study EGAS00001004837

• Single cell RNA sequencing of 33 primary colorectal cancer

  Study EGAS00001003779

• CRISPR-based adenine editors correct nonsense mutations in a cystic fibrosis organoid biobank.

  Study EGAS00001003951

• The whole genome landscape of Burkitt lymphoma subtypes

  Study EGAS00001003778

• Genotype data from 'Evidence of the interplay of genetics and culture in Ethiopia'

  Study EGAS00001005171

• Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma

  Study EGAS00001004288

• Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia

  Study EGAS00001005820

• Longitudinal Single Cell Atlas of COVID-19 Identifies an Early, Transient Prognostic Signature

  Study EGAS00001005545

• Minor intron splicing efficiency increases with the development of lethal prostate cancer

  Study EGAS00001005546

• Absolute copy number fitting from shallow whole genome sequencing data

  Study EGAS00001005601

• WGS of iPSC from TOF patients with/without DG and healthy control

  Study EGAS00001006035