13384 results for ""pdc"+"heritage+language"+census+study"

in 30.39 milliseconds.

• DAC for the study EGAS00001001738

  Dac EGAC00001000450

• ALI-RSV study Data Access Commitee

  Dac EGAC00001003371

• Data access commitee to DAISY study

  Dac EGAC00001003031

• PLANET study

  Dac EGAC00001001784

• DAC for study Vel Exome Sequencing

  Dac EGAC00001000012

• AMC Neuroblastoma Study

  Dac EGAC00001000047

• DAC for study POT1 splice

  Dac EGAC00001000184

• Leiden Longevity Study Data Access Committee

  Dac EGAC00001000210

• DAC for Mesothelioma Genomics Study

  Dac EGAC00001000615

• HPAH Barcelona Study

  Dac EGAC00001001057

• DAC for Familial Breast Cancer study EGAS00001003305

  Dac EGAC00001001087

• STREP GENE Study Data Access Committee

  Dac EGAC00001001107

• DAC for genentech GBC study

  Dac EGAC00001001155

• Probiotic Study Team Data Access Committee

  Dac EGAC00001001168

• Asthma Remission Study Data Access Committee

  Dac EGAC00001001258

• Asthma Remission Study Data Access Committee

  Dac EGAC00001001261

• PFA study -Taylor lab DAC

  Dac EGAC00001001526

• DAC for Gastric Adenocarcinoma Heterogeneity study

  Dac EGAC00001001649

• DAC of PSCCE study

  Dac EGAC00001001857

• SI-NET study data access committee

  Dac EGAC00001002004

• Aspirin platelet response study DAC

  Dac EGAC00001002056

• IVF Retrospective Study Data Access Committee

  Dac EGAC00001002319

• Data Access Committee for Massim study

  Dac EGAC00001002522

• OV04 PDX dried blood spot study

  Dac EGAC00001002597

• Human Liver Study Data Access Commitee

  Dac EGAC00001003020

• Islet RFX6 Study Data Access Committee

  Dac EGAC00001002684

• DAC IOR CHL study

  Dac EGAC50000000434

• Cerebrospinal fluid methylome-based liquid biopsies

  Study EGAS00001006029

• RNAseq data of phamacotyping samples

  Study EGAS00001007473

• CTD-ILD_BALF_and_blood_scRNA-seq_data

  Study EGAS00001007539

• Medulloblastoma RNAseq

  Medulloblastoma rnaseq

  Study EGAS50000000262

• Genomic characterization of retinoblastoma

  Study EGAS00001005248

• WGS Leiomyosarcoma subtypes

  Study EGAS00001005341

• Soft tissue sarcoma sequencing data

  Study EGAS00001006356

• Targeted Sequencing Xenturion

  Study EGAS00001006697

• Type 2 Diabetes Starr County GWAS and Exome Sequencing

  The T2D Seq GWAS Starr County Cohort is utilized in the following dbGaP sub-studies. To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" section of this top-level study page phs001166 T2D Seq GWAS Starr County Cohort. phs000143 CIDR T2D Hanis phs001099 T2D GENES Starr County

  Study phs001166

• Identification of ALS Associated Genes Using Whole Genome Sequencing

  The overall aim of this study is to discover of novel genetic elements associated with amyotrophic lateral sclerosis (ALS). Towards this goal, we have performed exome and whole genome sequencing for over 2000 samples. This data will be process and harmonized to yield high quality variant calling. These variants will be combined with control cohorts to identify novel genetic elements associated with ALS through case: control analyses.

  Study phs001585

• NHLBI's Collection of Datasets for General Research Use (Public Posting of Genomic Summary Results: Allowed)

  This collection contains all of NHLBI's 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. Genomic Summary Results (GSR) sharing is allowed (unrestricted) or not applicable. To request access to this study collection, select phs003132 in the dbGaP Authorized Access System.

  Study phs003132

• Interruption of BTK Inhibitor Improves Response to SARS-CoV-2 Booster Vaccination in Patients with Chronic Lymphocytic Leukemia

  This study investigates the effect of booster SARS-CoV-2 vaccination and Bruton tyrosine kinase inhibitor (BTKi) interruption on antibody response to vaccination. Patients with chronic lymphocytic leukemia (CLL) are immunocompromised, at increased risk of infection, and have historically poor response to immunization. BTKi therapy is a standard treatment for CLL in frontline and salvage settings and further suppresses antibody vaccine responses.

  Study phs003319

• Genomic-Enabled Medicine for Recurrent Glioblastoma

  In this prospective study, we performed genome-wide tumor/normal exome sequencing and tumor RNA-sequencing for recurrent glioblastoma patients. A subset of patients had both enhancing tumor and non-enhancing tissue sequenced to investigate spatial heterogeneity of this disease. Together, this information builds our understanding of the genomic underpinnings of glioblastoma, and contributes toward the knowledge base for identifying and developing more effective treatments for patients with glioblastoma.

  Study phs001460

• Maintenance of Genome Sequence Integrity in Long- and Short-lived Rodent Species

  In this study, we compared somatic mutation frequencies and spectra of bleomycin-treated and control fibroblasts of 5 species, i.e., mouse, guinea pig, blind mole-rat, naked mole-rat and humans, by using single-cell whole-genome sequencing. Sequencing data of the human cells are deposited here in the dbGaP. Sequencing data of the rodent cells are in the SRA database, under accession ID: PRJNA753541.

  Study phs002610

• Advanced Genetic and Molecular Analysis of Solid Tumors

  This study is designed to understand the role of immunosuppressive regulatory B cells (Breg) in pancreatic cancer. Breg and conventional B cells (Bcon) from patients are compared by RNA sequencing analysis. Bregs and Bcon were isolated from freshly isolated PBMCs in peripheral blood. These data represent the examination of differentially expressed genes in these two blood-derived B cell subsets from both healthy and pancreatic cancer patients.

  Study phs001999

• Type 2 Diabetes in African Americans, GWAS and Exome Sequencing

  The T2D Seq GWAS AA Cohort is utilized in the following dbGaP sub-studies. To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" box located on the right hand side of this top-level study page phs001167 T2D Seq GWAS AA Cohort. phs000140 CIDR T2D Bowdens phs001102 T2D GENES AA

  Study phs001167

• Epigenetic Mechanisms of Inflammation and Fatigue in Head and Neck Cancer

  This was a longitudinal observational study to examine the association between fatigue and DNA methylation as well as gene expression among patients with head and neck cancer. Demographic and clinical variables were collected before chemoradiotherapy and/or at follow-up visits as appropriate. Fatigue was assessed and biosamples (for DNA methylation and gene expression) were collected before, immediately after, and at six- and twelve-months post-chemoradiotherapy.

  Study phs002106

• Cellular Origins and Genetic Landscape of Cutaneous GD T Cell Lymphoma

  Cutaneous gamma-delta T cell lymphomas are a rare and aggressive subtype of cutaneous lymphoma. In the present study, we analyzed these cancers by DNA and RNA sequencing in order to illuminate the genetic landscape for this rare disease. We obtained tumor samples from multiple institutions, including Northwestern University (Chicago, IL), University of Chicago (Chicago, IL), University of Virginia (Charlottesville, VA), and Massachusetts General Hospital (Boston, MA).

  Study phs001969

• Large Scale Meta-analysis Characterizes Genetic Architecture for Common Psoriasis-associated Variants

  The genotypes obtained from the Affymetrix Biobank Plus array constituted one of eight Caucasian datasets used in a large genome-wide meta-analysis of the association of psoriasis cases versus unaffected controls. With a combined effective sample size of > 39,000 individuals, this study identified 16 new psoriasis loci achieving genome-wide significance, increasing the total number of identified psoriasis loci for European-ancestry populations to 63.

  Study phs001306

• Genomic Analysis of Nucleic Acid Sequences from Pancreatic Cancer

  Our study aims to perform multi-omics analysis of pancreatic ductal adenocarcinoma. We performed dual single-cell RNA sequencing and whole genome sequencing on fresh tumor specimens and dual bulk RNA-sequencing and 16S amplicon sequencing on frozen tumor specimens to identify human and non-human nucleic acid sequences. Additionally, we identified microbial sequences and found that bacterial taxonomic profiles from the same sample strongly correlated across technologies.

  Study phs003035

• Detection of Enhancer-Associated Rearrangements Reveals Mechanisms of Oncogene Dysregulation in B-cell Lymphoma

  Lymphomas are a prevalent and heterogeneous family of cancers arising in cells of the immune system. Drivers of lymphomagenesis include genomic rearrangements that juxtapose active regulatory elements with specific oncogene targets, as well as mutations affecting specific transcription factors and chromatin regulatory proteins. This study seeks to combine genome-wide genetic and epigenetic datasets to better understand mechanisms of oncogene dysregulation across distinct lymphoma types.

  Study phs000939

• Non-Coding Mutations Cause Enhancer Targeting Resulting in Protein Synthesis Dysregulation During B-Cell Lymphoma Progression

  In this study, we performed whole-genome sequencing of longitudinal tumor pairs, representing transformation of follicular lymphoma (FL) to high grade B-cell lymphoma with MYC and BCL2 rearrangements (known as "double hit lymphoma" or DHL), a very aggressive class of non-Hodgkin B cell lymphoma (B-NHL). We identified coding and noncoding genomic alterations acquired during the course of lymphoma progression.

  Study phs003398

• Cellular Heterogeneity in Early Human Development at Stage CS16

  In this study, we applied 10x Genomics Multiome assays for single-nucleus profiling of gene expression and chromatin accessibility simultaneously to a Carnegie stage 16 (37-42 days) specimen. These data can be used to identify and characterize diverse human cell types and annotate them with respect to marker genes, expression, and regulatory modules. These data comprise a rich resource for the exploration of human biology.

  Study phs003532