14452 results for ""Pennsylvania+German"+ACS+study+'Socius'+open+access"

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• Reference epigenome Islet-derived_MSC06 mRNA-Seq data generated from KEP study

  Islet-derived_MSC06 mRNA-Seq paired end data

  Dataset EGAD00001007878

• Reference epigenome Islet-derived-MSC01 WGBS data generated from KEP study

  Islet-derived-MSC01 WGBS paired end data

  Dataset EGAD00001007140

• Reference epigenome SMC05 h3k9me3 ChIP-Seq data generated from KEP study

  SMC05 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007336

• Reference epigenome Islet-derived-MSC02 WGBS data generated from KEP study

  Islet-derived-MSC02 WGBS paired end data

  Dataset EGAD00001007141

• Reference epigenome Pancreas-Islet07 mRNA-Seq data generated from KEP study

  Pancreas-Islet07 mRNA-Seq paired end data

  Dataset EGAD00001007167

• Reference epigenome Pancreas-Islet06 mRNA-Seq data generated from KEP study

  Pancreas-Islet06 mRNA-Seq paired end data

  Dataset EGAD00001007166

• Reference epigenome SMC01 h3k4me3 ChIP-Seq data generated from KEP study

  SMC01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007311

• PRDM13 exome sequencing set

  Exome sequencing study on 4 individuals from a pedigree with CHH and cerebellar hypoplasia.

  Dataset EGAD00001008420

• Reference epigenome Islet-derived-MSC03 WGBS data generated from KEP study

  Islet-derived-MSC03 WGBS paired end data

  Dataset EGAD00001007142

• Reference epigenome ADMSC05 h3k27me3 ChIP-Seq data generated from KEP study

  ADMSC05 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007375

• Reference epigenome OB56_N_PreA_smRNA-Seq data generated from KEP study

  A OB56_N_PreA_smRNA-Seq single end data for Preadipocytes(fat)

  Dataset EGAD00001003495

• Reference epigenome IPS03_N_ENeuron_WGBS data generated from KEP study

  A IPS03_N_ENeuron_WGBS paired end data for Early neuron cells(Tuj1)

  Dataset EGAD00001003475

• Reference epigenome OB57_D_PreA_mRNA-Seq data generated from KEP study

  A OB57_D_PreA_mRNA-Seq paired end data for Preadipocyte(fat)

  Dataset EGAD00001003487

• Reference epigenome IPS02_N_NPC_WGBS data generated from KEP study

  A IPS02_N_NPC_WGBS paired end data for Neural progenitor cells(Nestin)

  Dataset EGAD00001003474

• Reference epigenome CKD25_C_Podo_smRNA-Seq data generated from KEP study

  A CKD25_C_Podo_smRNA-Seq single end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003499

• Reference epigenome CKD25_C_Podo_mRNA-Seq data generated from KEP study

  A CKD25_C_Podo_mRNA-Seq paired end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003483

• RNA sequencing data to study "A biobank of patient-derived pediatric braintumor models"

  RNA sequencing data for the PDOX model EPD-613FH

  Dataset EGAD00001003573

• Pancreatic organoid - case samples

  This dataset contains 31 pancreatic organoid samples used in the 'organoid data of pancreatic cancers ' study

  Dataset EGAD00001004528

• SFHS pedigrees

  Deep (>25x mean coverage) whole genome sequencing on 5-10 families drawn from the Scottish Family Health Study with four or more children.

  Dataset EGAD00001001214

• Reference epigenome CKD24_C_Podo_mRNA-Seq data generated from KEP study

  A CKD24_C_Podo_mRNA-Seq paired end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003482

• STREP GENE Study Genome-wide Genotyping by Illumina Array

  Genotyping of 43 cases of invasive GAS infection by Illumina HumanCore-24 array and Illumina Global Screening Array.

  Dataset EGAD00001004558

• Reference epigenome OB57_D_PreA_smRNA-Seq data generated from KEP study

  A OB57_D_PreA_smRNA-Seq single end data for Preadipocyte(fat)

  Dataset EGAD00001003496

• Reference epigenome CKD24_C_Podo_smRNA-Seq data generated from KEP study

  A CKD24_C_Podo_smRNA-Seq single end data for Podocytes(CD90(-) Podocalyxin(+), kidney)

  Dataset EGAD00001003498

• SFHS pedigrees_X10

  Deep (>25x mean coverage) whole genome sequencing on 5-10 families drawn from the Scottish Family Health Study with four or more children.

  Dataset EGAD00001003211

• Center for Common Disease Genomics [CCDG] - Cardiovascular: SWISS-AF/SWISS-AF-PVI/BEAT-AF

  This study is a part of NHGRI's Centers for Common Disease Genomics (CCDG), which is a collaborative large-scale genome sequencing effort to comprehensively identify rare risk and protective variants contributing to multiple common disease phenotypes. Current estimates anticipate that the CCDG program will sequence approximately 140K whole genomes and 225K whole exomes during the life of the project. The Cardiovascular Disease working group of the CCDG considered five diseases: early-onset coronary artery disease (EOCAD), stroke, atrial fibrillation (AF), congestive heart failure and type 2 diabetes. AF will affect between 6-12 million individuals in the US by 2050. AF is also associated with increased risks of stroke, dementia, heart failure, death, and high health care costs. Many risk factors for AF have been identified, including advancing age, cardiovascular disease (CVD), and CVD risk factors. However, there is little knowledge how to prevent AF. Furthermore, therapies for AF are only partially effective, and are themselves associated with substantial morbidity. Previously, heritable forms of AF have been considered rare; yet in the last decade, it has been established that AF, and in particular early-onset forms of AF, are heritable. Genome-wide association studies (GWAS) provide a powerful tool to identify common variants underlying disease risk. The AFGen Consortium currently consists of investigators from more than 25 studies with >20,000 individuals with AF and >100,000 without AF. In the latest analyses, 14 loci have been identified for AF1. Broadly, the loci implicate genes related to cardiopulmonary development, cardiac-expressed ion channels, and cell signaling molecules. Source: https://ccdg.rutgers.edu/sites/default/files/CCDG_CVD_EOAF_FINAL_w_link.pdf Three collections were brought together to form Swiss atrial fibrillation cases: SWISS-AF, SWISS-AF-PVI, and BEAT-AF. SWISS-AF is a prospective observational, multicentric cohort study in Switzerland to increase our knowledge on structural brain damage and its changes over time in patients with atrial fibrillation. Overall, 2400 patients with documented atrial fibrillation aged >65 years will be included and followed on a yearly basis. SWISS-AF-PVI is a registry of patients with atrial fibrillation undergoing catheter-based ablation of atrial fibrillation (pulmonary vein isolation) to determine long-term success rates of catheter-based ablation of atrial fibrillation (pulmonary vein isolation) and to evaluate factors associated with long-term success of catheter-based ablation of atrial fibrillation (pulmonary vein isolation). BEAT-AF is a prospective observational, multicenter cohort study in Switzerland. Overall, 1550 patients with documented atrial fibrillation were enrolled in seven study centers. The main aim of this study is to investigate the therapy and the medical consequences of patients with atrial fibrillation. Samples from all three collections were sent to The Broad Institute of MIT and Harvard to generate genetic data using whole exome sequencing and whole genome genotyping (Infinium Global Screening Array); all cases with atrial fibrillation.

  Study phs002242