14659 results for "PLOS+ONE+Pennsylvania+German+ACS+language+code+pdc+open+access+study"

in 22.21 milliseconds.

• WGS data access comittee TCD

  Dac EGAC00001003106

• DNA Methylation Data Access Committee

  Dac EGAC00001003151

• Human Adipocyte RNAseq Data Access Committee

  Dac EGAC00001003168

• COMET TCRseq Data Access Commitee

  Dac EGAC00001003178

• ICL Project ITH Data Access Commitee

  Dac EGAC00001003194

• Cancer Genomics Project DBA Data Access Committee

  Dac EGAC01000000005

• Human Phenotype project Data Access Commitee

  Dac EGAC00001003214

• Data Access Commitee - Saliba Lab

  Dac EGAC00001003426

• CS Baby Biome data access commitee

  Dac EGAC00001003433

• BioMed X EAC Data Access Committee

  Dac EGAC00001002868

• Mutagenesis in Medicine Data Access Committee

  Dac EGAC50000000026

• MESA colorectal cancer data access committee

  Dac EGAC00001002798

• Male Germ Cell Data Access Commitee

  Dac EGAC00001003358

• Uppsala University (UU) Data Access Committee

  Dac EGAC00001003390

• Clark Lab Unimelb Data Access Committee

  Dac EGAC00001002834

• Metastatic Breast Cancer Data Access Committee

  Dac EGAC00001003074

• GLASS-NL DNA-methylation Data Access Committee

  Dac EGAC00001003478

• GLASS-NL RNA-seq Data access committee

  Dac EGAC00001003470

• MSKCC Proteogenomics Data Access Committee

  Dac EGAC00001002794

• MM Liquid Biopsy Data Access Commitee

  Dac EGAC00001001517

• UCSF SU2C/WCDT Data Access Commitee

  Dac EGAC00001002873

• MD Anderson GU Data Access Committee

  Dac EGAC00001002356

• Data Access Committee for data from EGAS00001002864

  Dac EGAC00001003487

• Data Access Committee for data from EGAS00001007832

  Dac EGAC00001003500

• Data Access Committee for data from EGAS00001007819

  Dac EGAC00001003501

• UTHSCSA HCC Team Data Access Commitee

  Dac EGAC00001003351

• Dusseldorf/Lisbon Data Access Commitee

  Dac EGAC00001002758

• CCRI NFAT project data access committee

  Dac EGAC00001003280

• General DAC

  General Data Access Committee.

  Dac EGAC50000000184

• UVM Data Access Commitee

  Dac EGAC00001002078

• Francis Crick Institute Data Access Committee

  Dac EGAC50000000111

• Data Access Committee for data from EGAS00001007904

  Dac EGAC00001003512

• Data Access Committee for data from EGAS00001008107

  Dac EGAC00001003568

• EXPIRED - Data Access Committee Princess Maxima Center

  Dac EGAC00001003259

• EXPIRED - Data Access Committee Princess Maxima Center

  Dac EGAC00001003355

• Auristone Data Access Committee

  Auristone DAC

  Dac EGAC50000000875

• Bayesian-Based Noninvasive Prenatal Diagnosis of Single-Gene Disorders

  In the last decade, non-invasive prenatal diagnosis (NIPD) has emerged as an effective procedure for early detection of inherited diseases during pregnancy. This technique is based on using cell-free DNA (cfDNA) and fetal cfDNA (cffDNA) in maternal blood, and hence, has minimal risk for the mother and fetus compared with invasive techniques. NIPD is used today for identifying chromosomal abnormalities (in some instances) and for single-gene disorders (SGDs) of paternal origin. However, for SGDs of maternal origin, sensitivity poses a challenge that limits the testing to one genetic disorder at a time. Here we present a Bayesian method for the NIPD of monogenic diseases that is independent of the mode of inheritance and parental origin. Furthermore, we show that accounting for differences in the fragment length distribution of fetal- and maternal-derived cfDNA results in increased accuracy. Our model is the first to predict inherited insertions-deletions (indels). The method described can serve as a general framework for the NIPD of SGDs; this will facilitate easy integration of further improvements. One such improvement that is presented in the current study is a machine learning model that corrects errors based on patterns found in previously processed data. Overall, we show that next generation sequencing (NGS) can be used for the NIPD of a wide range of monogenic diseases, simultaneously. We believe that our study will lead to the achievement of a comprehensive NIPD for monogenic diseases. (Reprinted from Bayesian-based noninvasive prenatal diagnosis of single-gene disorders, with permission from Genome Research)

  Study phs001659

• Association Between Telomere Length and Falciparum Malaria Endemicity in Sub-Saharan Africans

  The goal of this study was to identify the genetic and environmental drivers of telomere length variation in an ethnically diverse African cohort. It comprises 1,818 participants from Cameroon, Tanzania, Ethiopia, and Botswana. For each participant, leukocyte telomere length was measured using the Southern blotting of the terminal restriction fragment methodology. 1,758 of the individuals with phenotype data also had genetic data, and these individuals were subjected to a genome-wide association study which accounted for age, sex, and genetic relatedness. Individuals were genotyped on one of two genotyping arrays (Illumina Infinium Omni5 array or Illumina H3Africa consortium array). Genetic datasets were merged, and missing genotypes were imputed for a final genetic dataset of 11,001,107 genetic variants. Correlations between telomere length and a variety of environmental factors, including malaria endemicity, were also examined in this study.

  Study phs003567

• Is the Gut Important in Multiple Joint Osteoarthritis? A Multimodal Investigation in Humans and Pet Dogs

  The Gut Health in Multiple Joint Osteoarthritis (MJOA) Study leverages data from parallel community-based cohorts in humans and in pet dogs to elucidate the role of altered microbiota in MJOA. One hundred Johnston County Health Study human participants were 35 to 70 years of age at enrollment (2022-2023), self-identified as Hispanic, White, or Black, and lived in Johnston County, North Carolina. Demographic, clinical information, multiple joint radiographs, and stool samples for microbiome profiling by 16S rRNA gene sequencing were obtained from all participants. Similar data were collected from an independent group of pet dogs (N=115) from the local community, at the North Carolina State University (NCSU) College of Veterinary Medicine. The central hypothesis of the study is that intestinal permeability, with or without dysbiosis, is a major driver in the development and worsening of MJOA.

  Study phs003980

• Whole genome sequencing of six ethnic groups from Burkina Faso, Cameroon, and Tanzania

  We conducted low-coverage (~10x) sequencing of six ethnic groups from three malaria-endemic countries in sub-Saharan Africa, with the aim of characterising genetic diversity and improving imputation performance for genotyped samples in these populations. This data is part of a pre-publication release and is available under managed access. Please see https://www.malariagen.net/data/terms-use/human-gwas-data for more information on MalariaGEN data access policies. The purpose of the project was to support the discovery and understanding of genetic variants that influence human disease. Specifically defined goals were: a. the discovery of single nucleotide variants at frequencies of 1% or higher in diverse populations, b. even more comprehensive discovery (variants down to frequencies of 0.1 - 0.5%) in functional gene regions, and c. discovery of structural variants, such as copy number variants, other insertions and deletions, and inversions, including sequence-level understanding of breakpoints.

  Study EGAS00001003648

• Meisal temporal lobe epilepsy sequencing study

  Our understanding of mesial temporal lobe epilepsy (MTLE) is one of the most common forms of drug-resistant epilepsy in humans. Using RNA- and small RNA-sequencing in parallel, we explored differentially expressed genes in the hippocampus and cortex of MTLE patients who had undergone surgical resection and non-epileptic controls. We found significant enrichment for astrocytic and microglial genes amongst up-regulated genes and down-regulation of neuron-specific genes in the hippocampus of MTLE patients. The transcriptome profile of the small RNAs reflected disease state more robustly than mRNAs, even across brain regions which show very little pathology.

  Study EGAS00001003922

• A Study to Evaluate Denosumab in Young Patients With Primary Breast Cancer (D-Beyond)

  This is a prospective, single arm phase IIa trial in which patients with early breast cancer will receive pre-operatively two doses of denosumab 120mg subcutaneously one week apart (maximum 12 days) followed by surgery. Tumor, normal breast tissue and blood samples will be collected at baseline and at surgery. Post-operative treatment will be at the discretion of the investigator.Primary objective: to determine if a short course of RANKL inhibition with denosumab can induce a decrease in tumor proliferation rates as determined by Ki67 immunohistochemistry (IHC) in newly diagnosed, early stage breast cancer in pre-menopausal women.

  Study EGAS00001003252

• Gliomas, glioneuronal and neuronal tumors

  The dataset represents a total of 85 DNA samples from 22 male and 20 female pediatric patients affected with gliomas, glioneuronal, and neuronal tumors. The samples were subject to whole genome sequencing, WGS, [71 samples, (representing 18 male and 17 female individuals)] and whole exome sequencing, WES, [14 samples, (representing 4 males and 3 female individuals)]. One tumor tissue sample and one peripheral blood sample were analyzed from each of 84 patients, whereas two tumor tissue samples and one peripheral blood sample were analyzed from one patient. The WGS samples were sequenced 2x150 bp paired-end on an Illumina HiSeqX v2.5 instrument, and the WES samples were sequenced 2x100 bp paired-end on an Illumina HiSeq 2500 instrument. The FASTQ files generated were aligned to the human reference genome sequence GRCh38/hg38 using bwa-mem, with the ALT-aware option turned on. Sorting of reads and marking of PCR duplicates was performed with GATK. Base quality score recalibration and joint realignment of reads around insertions and deletions (indels) were conducted using GATK tools. The dataset consists of 85 files in the CRAM format (lossless compression) with a total file size of ~13,3 TB. Additional genomic and molecular data (FASTQ, BAM, IDAT, and VCF files) and limited clinical data can be requested by ethically approved projects conducting research in the field of pediatric cancer.

  Dataset EGAD50000000300

• Melanoma Institute Australia Data Access Committee

  Dac EGAC00001003075

• Japanese genotype Data Access Commeitee

  Dac EGAC00001003107

• Small intestinal plasma cells data access committee

  Dac EGAC00001001079

• MS Risk Gene RNAseq Data Access Committee

  Dac EGAC00001003249

• Berlin Neuroblastoma Liquid Biopsy Data Access Committee

  Dac EGAC00001003314

• Data Access Commitee of mantle cell lymphoma

  Dac EGAC00001001119

• Lung cancer RNA Seq Data Access Committee

  Dac EGAC00001003317

• Human Subsistence - chemosensation genomics - Data access Committee

  Dac EGAC00001003272

• DKFZ OE0214 Data Access Committee

  Dac EGAC00001002156

• MD Anderson Cancer Center Data Access Committee

  Dac EGAC00001002802

• Cell-free DNA Sequencing Data Access Committee

  Dac EGAC00001003304

• The Ashkenazi Genome Consortium Data Access Committee

  Dac EGAC00001000151

• Institut Curie Neuroblastoma data access Committee

  Dac EGAC00001000319

• GBM-ZEB1 Data Access Committee

  Dac EGAC00001000354

• Radboud Pediatric Cancer Data Access Committee

  Dac EGAC00001000369

• Data Access Committee KCL FC

  Dac EGAC00001000386

• Data Access Committee for Hui Lab

  Dac EGAC00001000454

• MaSpore ALL Genomic Data Access Committee

  Dac EGAC00001000495

• Novartis-Cattolica UFM collaboration Data Access Committee

  Dac EGAC00001000512

• Psychiatric Genomics Consortium CNV Data Access Committee

  Dac EGAC00001000542

• DKTK Berlin partner site data access committee

  Dac EGAC00001000573

• IPDGC UK exome cohort Data Access Committee

  Dac EGAC00001000575

• The EMC-ILC3 consortium Data Access Committee

  Dac EGAC00001000729

• Singapore Living Biobank project - Data Access Committee

  Dac EGAC00001000769

• Acute myeloid leukemia germline data access committee

  Dac EGAC00001000793

• Ludwig Lausanne Data Access Committee

  Dac EGAC00001000819

• Data Access Committee for data from EGAS00001002840

  Dac EGAC00001000834

• Data Access Committee for the CentralAfricanCMC_Pemberton dataset

  Dac EGAC00001000896

• Sahlgrenska Translational Melanoma Group Data Access Commitee

  Dac EGAC00001000915

• NGS-ProToCol PCa Data Access Committee

  Dac EGAC00001000968

• Data Access Committee WES BD IHGUB

  Dac EGAC00001000982

• ESCC DNA methylation biomarkers data access committee

  Dac EGAC00001000991

• 10x Genomics Linked-Reads Data Access Committee

  Dac EGAC00001000996

• Colorectal Cancer Organoids Data Access Committee

  Dac EGAC00001000998

• UKCTOCS Longitudinal Women's Cohort Data Access Committee

  Dac EGAC00001001019

• Single-cell TCR sequencing Data access Commitee

  Dac EGAC00001001030

• Severe acne meta-analysis Data Access Commitee

  Dac EGAC00001001049

• KEIO-PSC team Data Access Commitee

  Dac EGAC00001001070

• QMUL FAMILIAL MYELOID LEUKEMIA DATA ACCESS COMMITEE

  Dac EGAC00001001104

• Bone Tumor Reference Centre Data Access Commitee

  Dac EGAC00001001114

• Somatotropinoma Data Access Committee

  Dac EGAC00001001135

• Korean Advanced Thyroid Cancer Data Access Commitee

  Dac EGAC00001001151

• UCT Neurology Research Group Data Access Committee

  Dac EGAC00001001206

• Ig-seq celiac disease Data Access Committee

  Dac EGAC00001001208

• Gastric Cancer Pan-genome Data Access Commitee

  Dac EGAC00001001211

• Single cell TCR sequencing data access commitee

  Dac EGAC00001001217

• Single cell TCR sequencing data access commitee

  Dac EGAC00001001218

• MM double refractory teamINT Data Access Committee

  Dac EGAC00001001244

• Human Adipose Tissue Data Access Commitee

  Dac EGAC00001001248

• Type 2 Diabetes Data access committee (DAC)

  Dac EGAC00001001293

• Osteosarcoma Data Access Committee

  Dac EGAC00001001328

• Genomic Medicine Data Access Committee

  Dac EGAC00001001414

• IIS-Fundacion Jimenez Diaz Data Access Committee

  Dac EGAC00001001418

• Tumor Panel Sequencing Data Access Committee

  Dac EGAC00001001449

• LYMPHGEN Data Access Commitee

  Dac EGAC00001001453

• Ovarian Sample Size Data Access Commitee

  Dac EGAC00001001476

• Roma whole genome data Data Access Commitee

  Dac EGAC00001001516