13393 results for ""pdc"+"heritage+language"+census+study"

in 14.01 milliseconds.

• genome-wide cfDNA methylation analysis

  To characterise cfDNA methylome in metastatic prostate cancer

  Study EGAS00001003958

• PEACE lung - Whole exome multiregion sequencing data

  PEACE lung - Whole exome multiregion sequencing data

  Study EGAS00001008217

• Bulk RNA data from Wilms Tumors

  Bulk RNA-seq data of pediatric Wilms tumors

  Study EGAS00001006531

• RNAseq of Soft Tissue Sarcomas

  Exon capture RNAseq of 25 soft tissue sarcomas.

  Study EGAS00001007221

• 16S sequencing data for Butyricicoccus safety study

  16S rRNA gene sequencing with Illumina MiSeq (V4 hypervariable region)

  Dataset EGAD00001004406

• RNA-seq data for NRF2 study

  RNA-seq data for clinical samples

  Dataset EGAD00001002243

• Melanoma multi site metastases

  These are caveman, pindel and sequenza calls for the metastatic melanoma exomes within this study.

  Dataset EGAD00001005487

• Plasma DNA profile in DNASE1L3 deficiency

  Plasma DNA profile in DNASE1L3 deficiency

  Dataset EGAD00001006216

• H3K4me3, IgG, and Input ChIP-seq in overexpression of pLV Control, CS-FL and CS-ΔEx4 in SW1116 cells.

  none

  Study EGAS00001008121

• A Genome-Wide Association Study of Peripheral Arterial Disease

  The Electronic Medical Record Phenotypes and Community-engaged Genomic Association Study aims to identify genetic variants mediating susceptibility to peripheral arterial disease (PAD). The study leverages a biorepository of blood samples of 1688 PAD cases and 1649 controls, and the electronic medical record (EMR) to annotate the biorepository. PAD cases were identified from the vascular laboratory database as having an ankle brachial index (ABI) <0.9 at rest or after exercise or having non-compressible vessels. Controls were without prior history of atherosclerotic vascular disease and when tested, no evidence of ischemia on a stress test. Phenotypes and environmental exposures including age, ethnicity, demographic and anthropometric data are derived from the Mayo Electronic Medical Record (EMR). Comorbidities were determined using algorithms for diabetes and hypertension based on ICD-9 codes and medication use. Relevant laboratory data, including lipid levels, fasting blood sugar and serum creatinine at index date or within a 1-year window of the index date were extracted. Medication classes at index date were identified using Mayo's Natural Language Processing-based system with RxNorm codification and NDF-RT terminologies mapping. Smoking status was confirmed by natural language processing of clinical notes. Genotyping of ~600,000 SNPs across the genome is being conducted at the Broad Institute using the Illumina 660W platform. Statistical analyses will be conducted to identify genetic variants associated with susceptibility to PAD.

  Study phs000203