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

in 14.41 milliseconds.

• Genomic Landscape of Follicular Lymphoma Across a Wide Spectrum of Clinical Behaviors

  Study EGAS00001007105

• Deep whole genome ctDNA chronology of treatment-resistant prostate cancer

  Study EGAS00001005783

• RNA sequencing of chondrosarcoma

  To profile chondrosarcoma patients.

  Study EGAS00001004585

• Validation of cfDNA fragmentome analyses for early detection of liver cancer

  Study EGAS00001008111

• IBD_Whole_Genome_Sequencing_Phase_1

  IBD Whole Genome Sequencing Phase 1

  Study EGAS00001001735

• Genome-wide somatic variants in CRC (GRCh38)

  Study EGAS00001004710

• Exome sequencing

  Exome sequence Pfizer & TwinsUK

  Study EGAS00001001194

• Acne meta-analysis

  Acne meta-analysis

  Dataset EGAD00001008342

• Common Variant GWAS, Genetics & Epidemiology of Colorectal Cancer Consortium (GECCO)

  Genetics & Epidemiology of Colorectal Cancer Consortium (GECCO) is a collaborative effort which aims to accelerate the discovery of colorectal cancer-related variants by discovering, replicating and fine-mapping Genome Wide Association Study (GWAS) findings, conducting a meta-analysis of GWAS data, and investigating how genetic variants are modified by environmental risk factors. The coordinating center for this consortium is based at the Fred Hutchinson Cancer Research Center (Principal investigator: Ulrike Peters). The GECCO Consortium is utilized in the following dbGaP individual studies. To view genotypes, and derived variables collected in these individual studies, please click on the following individual studies below or in the "Sub-studies" box located on the right hand side of this top-level study page phs001078 GECCO Consortium. phs000965 VITAL phs001056 DALS phs001077 WHI Colorectal Cancer phs001092 PMH CCFR phs001094 PLCO phs001104 ASTERISK phs001113 DACHS phs001114 HPFS phs001128 PHS phs001129 NHS phs001170 Colo2and3 phs001171MEC Colorectal Cancer

  Study phs001078

• Clonal Evolution of Pre-Leukemic Hematopoietic Stem Cells Precedes Human Acute Myeloid Leukemia

  Acute myeloid leukemia is an aggressive clonal malignancy of the bone marrow that is the direct result of sequential acquisition of mutations in a single lineage of cells. In this study, we investigate a model in which this mutational acquisition occurs serially in long-lived self-renewing hematopoietic stem cells eventually resulting in frank acute myeloid leukemia. Coding mutations in multiple AML patients were identified using exome sequencing followed by sanger sequencing validation. The level of these mutations was then assessed in residual hematopoietic stem cells from each patient using targeted deep sequencing. These population-level estimates of mutant allele burden were then validated in single cell assays targeted to the identified mutations. This allowed for determination of the order of acquisition of the mutations that preceded the development of the leukemia. The results of this study identify pre-leukemic hematopoietic stem cell clones that could contribute to patient relapse and outcome.

  Study phs000549