14662 results for "PLOS+ONE+Pennsylvania+German+ACS+language+code+pdc+open+access+study"

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• Dynamics of Genomic and Immune Responses During Primary Immunotherapy Resistance in Mismatch Repair Deficient Tumors

  We study a patient with dMMR lung cancer refractory to immunotherapy. Post-treatment tumor demonstrated compound heterozygous frameshift deletions located upstream of the kinase domain in the gene encoding JAK1 protein, downregulation of JAK1 and mediators of its signal transduction, and total loss of JAK1 phosphorylation. Importantly, one of the JAK1 mutations, despite not being detected in the pre-treatment tumor, was found at low variant allele frequency in the pre-treatment circulating tumor DNA, suggesting clonal selection of the mutation. This report provides the most detailed look yet of defective JAK1 signaling in the context of dMMR and immunotherapy-resistance. Together with observations of JAK1 frameshift indels being enriched in dMMR compared with MMR-proficient tumors, our findings demonstrate the critical function of JAK1 in immunological surveillance of dMMR cancer.

  Study phs002089

• Admixture Mapping of Staphylococcus aureus Bacteremia

  In this study, we used admixture mapping to test the hypothesis that genomic variations with different frequencies in European and African ancestral genomes influence susceptibility to Staphylococcus aureus bacteremia (SAB) in a sample of African Americans. A total of 565 adult African Americans were genotyped for admixture mapping. Cases were unique African American adult inpatients with monomicrobial SAB (N=390) and controls are age-matched adult African American inpatients with no current or past S. aureus infection (N=175). After empirical multiplicity adjustment, one region on chromosome 6 (52 SNPs, P = 4.56e-05) in the HLA class II region was found to exhibit a genome-wide statistically significant increase in European ancestry. This region encodes genes involved in HLA-mediated immune response and these results provide additional evidence for genetic variation influencing HLA-mediated immunity, modulating susceptibility to SAB.

  Study phs001441

• Center for Common Disease Genomics (CCDG) - Cardiovascular: Cleveland Clinic Cohort

  The National Human Genome Research Institute (NHGRI) has funded the Centers for Common Disease Genomics (CCDG), a collaborative large-scale genome sequencing effort to comprehensively identify rare risk and protective variants contributing to common disease phenotypes and to better understand the general principles of genomic architecture underlying common, complex inherited diseases. This study contains variant calls derived from the whole genome sequence data of an early-onset coronary artery disease case-control cohort collected by the Cleveland Clinic. Case status was assigned based on the presence of myocardial infarction, coronary artery stenosis greater than 70% in at least one coronary artery, and/or revascularization (coronary angioplasty with or without stent placement or coronary artery bypass grafting) at an early age. For these samples, "early age" is defined as men 60 years of age or younger and women 70 years of age or younger.

  Study phs001871

• CIDR/NICHD Genetic Basis of Recessive Pediatric Brain Diseases - Group 2

  The purpose of this study is to identify new genetic causes of recessive forms of pediatric neurodevelopmental disorders (NDDs) including Cerebellar hypoplasia (CBH), Lissencephaly (LIS), Microcephaly (MIC), Corpus callosum hypoplasia (CCH), Pontocerebellar hypoplasia (PCH), Pontine tegemental cap dysplasia (PTCD), and Aicardi syndrome among many others. Using whole exome sequencing on one or two affected members per family, we are able to identify many pathogenic genes for these families. Using Human SNP Linkage Scans, which takes advantage of the Illumina HumanCore Array, and parametric linkage analysis software (Genehunter, Allegro, and others), we seek to identify pathogenic loci utilizing 60-70 families per year. Through the combination of parametric linkage analysis with exome sequencing and bioinformatics approaches, we will refine our search for superior sensitivity and accuracy when investigating candidate genes and identifying causative mutations for disease.

  Study phs001267

• Yale Center for Mendelian Genomics (YCMG)

  From 2012-2021, Yale University was home to one of four national centers created by the National Institutes of Health (NIH) to study the genetics of rare inherited diseases. Researchers at Yale University, University of Washington, the Broad Institute and a center operated jointly by Baylor University and Johns Hopkins University analyzed the genomes of thousands of patients who suffer from more than 6,000 rare Mendelian disorders affecting more than 25 million individuals in United States. The Centers for Mendelian Genomics (CMG) applied next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian disorders. The discovery of new genes that cause Mendelian conditions expanded our understanding about their biology to facilitate their diagnosis, and potentially indicate new treatments. The CMG provided free exome sequencing and analysis to collaborating investigators for qualified phenotypes.

  Study phs000744

• Infant Immune Responses to Early Life Vaccinations

  Infants are vulnerable to life-threatening infections due to an immature immune system. For this reason, vaccinations are provided early in life to increase protection against infectious agents. However, there is a limited understanding on how routine vaccinations alter the different immune cell populations in infants. Here, we profiled peripheral blood mononuclear cells (PBMCs) from six 2-month-old infants at the time of their routine vaccinations. Infants received the standard vaccinations including DTaP (diphtheria, tetanus and acellular pertussis), IPV (inactivated polio vaccine), Hep B (hepatitis B), Hib (Haemophilus influenzae type B), Rotavirus, and PCV13 (pneumococcus conjugate vaccine). Samples were obtained before vaccination, and subsequently around one week, and two-month post-vaccination (n=18 samples). This study sheds light on the dynamic nature of the infant peripheral immune cell transcriptome upon initial routine vaccine exposure. The processed data is available on GEO under GSE204716.

  Study phs002926

• CIDR/NICHD Genetic Basis of Recessive Pediatric Brain Diseases

  The purpose of this study is to identify new genetic causes of recessive forms of pediatric neurodevelopmental disorders (NDDs) including cerebellar hypoplasia (CBH), lissencephaly (LIS), microcephaly (MIC), corpus callosum hypoplasia (CCH), pontocerebellar hypoplasia (PCH), pontine tegmental cap dysplasia (PTCD), and Aicardi syndrome among many others. Using whole exome sequencing on one or two affected members per family, we are able to identify many pathogenic genes for these families. Using Human SNP Linkage Scans, which takes advantage of the Illumina HumanCore Array, and parametric linkage analysis software (Genehunter, Allegro, and others), we seek to identify pathogenic loci utilizing 60-70 families per year. Through the combination of parametric linkage analysis with exome sequencing and bioinformatics approaches, we will refine our search for superior sensitivity and accuracy when investigating candidate genes and identifying causative mutations for disease.

  Study phs001060

• CIDR NICHD Genetic Basis of Recessive Pediatric Brain Diseases - Group 4

  The purpose of this study is to identify new genetic causes of recessive forms of pediatric neurodevelopmental disorders (NDDs) including Cerebellar hypoplasia (CBH), Lissencephaly (LIS), Microcephaly (MIC), Corpus callosum hypoplasia (CCH), Pontocerebellar hypoplasia (PCH), Pontine tegmental cap dysplasia (PTCD), and Aicardi syndrome among many others. Using whole exome sequencing (WES) on one or two affected members per family, we are able to identify many pathogenic genes for these families. Using Human SNP Linkage Scans, which takes advantage of the Illumina HumanCore Array, and parametric linkage analysis software (Genehunter, Allegro, and others), we seek to identify pathogenic loci utilizing 60-70 families per year. Through the combination of parametric linkage analysis with exome sequencing and bioinformatics approaches, we will refine our search for superior sensitivity and accuracy when investigating candidate genes and identifying causative mutations for disease.

  Study phs001822

• CIDR NICHD Genetic Basis of Recessive Pediatric Brain Disease - Group 3

  The purpose of this study is to identify new genetic causes of recessive forms of pediatric neurodevelopmental disorders (NDDs) including Cerebellar hypoplasia (CBH), Lissencephaly (LIS), Microcephaly (MIC), Corpus callosum hypoplasia (CCH), Pontocerebellar hypoplasia (PCH), Pontine tegmental cap dysplasia (PTCD), and Aicardi syndrome among many others. Using whole exome sequencing (WES) on one or two affected members per family, we are able to identify many pathogenic genes for these families. Using Human SNP Linkage Scans, which takes advantage of the Illumina HumanCore Array, and parametric linkage analysis software (Genehunter, Allegro, and others), we seek to identify pathogenic loci utilizing 60-70 families per year. Through the combination of parametric linkage analysis with exome sequencing and bioinformatics approaches, we will refine our search for superior sensitivity and accuracy when investigating candidate genes and identifying causative mutations for disease.

  Study phs001510

• Transcriptomic profiles of tumor samples from patients with stage I-III TNBC treated with anthracycline-taxane chemotherapy plus fasting-mimicking diet plus/minus metformin in the context of the BREAKFAST trial (NCT04248998)

  BREAKFAST is a randomized, non-comparative, phase II trial enrolling stage I-III (cT>1cm) TNBC pts treated with neoadjuvant doxorubicin-cyclophosphamide q3w for 4 cycles, followed by weekly paclitaxel for 12 cycles. Pts were randomized 1:1 to receive: CT + triweekly 5-day FMD cycles (arm A), or CT + FMD + daily metformin (1700 mg) (arm B). The primary study objective was to investigate if one or both experimental treatments were able to increase pCR rates when compared to anthracycline-taxane CT alone according to historical data. Secondary/exploratory endpoints included biomarker analyses based on tumor transcriptomics analyses. Specifically, we collected fresh-frozen tumor samples at baseline and 14-21 days after the first treament cycle and we analyzed the RNA-seq profiles to identify early predictors of treatment activity.

  Study EGAS50000000690

• A proteogenomic atlas of the human neural retina

  The human neural retina is enriched for alternative splicing, and it is estimated that more than 10% of variants associated with inherited retinal diseases (IRDs) alter splicing. Previous research mainly used short-read RNA-sequencing techniques to investigate retina-specific splicing and splicing factors. However, this technique provides limited information about transcript isoforms. To gain a deeper understanding of the human neural retina and its isoforms, we generated a proteogenomic atlas that combines PacBio long-read RNA-sequencing data with mass-spectrometry and whole-genome sequencing data from three healthy human neural retina samples. About one third of the nearly 60,000 transcript isoforms were novel, and ten novel peptides that confirmed novel isoforms were detected. This study highlights the importance of studying tissue-specific transcriptomes in greater detail to better understand tissue-specific regulation and to identify disease-causing variants.

  Study EGAS50000000070

• Genomic profile of sporadic multiple meningiomas

  Molecular mechanisms underlying the formation of sporadic MMs and clonal formation etiology of these tumors are poorly understood. In this study, we worked on a cohort of patients with spatially separated MMs without prior radiation exposure or a family history who underwent surgical resection of at least two meningiomas. Unbiased, comprehensive next generation sequencing was performed and relevant clinical data was analyzed. We identified that both NF2-loss and non-NF2 driven MMs can form due to monoclonal expansion and those tumors can acquire inter-tumoral heterogeneity through branched evolution. Grade I and II meningiomas can occur in the same patient. Thus, the molecular make-up and clinical behavior of one tumor in MMs, cannot reliably lend insight into that of the others and suggests the clinical management strategy for MMs should be tailored individually.

  Study EGAS00001005700

• DNA methylation-based classification of sinonasal tumors [Proteomics data]

  The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply a machine learning algorithm based on DNA methylation patterns to classify sinonasal tumors with clinical-grade reliability. We further show that sinonasal tumors with SNUC morphology are not as undifferentiated as their current terminology suggests but rather reassigned to four distinct molecular classes defined by epigenetic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SMARCA4/ARID1A mutations with an overall favorable clinical course, one class composed of highly aggressive SMARCB1-deficient carcinomas and another class with tumors that represent previously misclassified adenoid cystic carcinomas. The repository includes the raw mass spectrometry-based proteomics data

  Study EGAS00001006712

• DNA methylation-based classification of sinonasal tumors [DNA sequencing]

  The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply a machine learning algorithm based on DNA methylation patterns to classify sinonasal tumors with clinical-grade reliability. We further show that sinonasal tumors with SNUC morphology are not as undifferentiated as their current terminology suggests but rather reassigned to four distinct molecular classes defined by epigenetic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SMARCA4/ARID1A mutations with an overall favorable clinical course, one class composed of highly aggressive SMARCB1-deficient carcinomas and another class with tumors that represent previously misclassified adenoid cystic carcinomas. This repository includes the results from DNA sequencing and mass spectrometry-based proteomics.

  Study EGAS00001006713

• Breast Invasive Lobular Carcinoma CDH1 WGS dataset

  We subjected to whole genome sequencing (WGS) one ILC case lacking CDH1 biallelic mutations. Both tumor and normal samples were sequenced.

  Dataset EGAD50000000696

• Long read single cell whole genome sequencing

  Human brain single nuclei amplifed by Droplet MDA. Nanopore long read whole genome sequencing. Two cases of multiple system atrophy, one control.

  Dataset EGAD50000001652

• JIA family

  Exome sequencing data for two sibs with juvenile idiopathic arthitis and one unaffected sib

  Dataset EGAD00001004806

• An aggregated vcf file

  Germline variants calls were defined using the sequenced reads derived from 230 patients with hepatocellular carcinoma. This dataset is comprised of one aggregated vcf file.

  Dataset EGAD00001009410

• University of Helsinki and Turku University Hospital Data Access Committee

  Dac EGAC00001001760

• This DAC is the list of persons that, on behalf of the UKBEC consortium, manage the access to the UKBEC data.

  Dac EGAC00001000314

• This agreement governs the terms on which access will be granted to the data generated by the United Kingdom Brain Expression Consortium.

  Dac EGAC00001001408

• Data Access Commitee for Dietrich and Wendisch et al., SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis (Submitted)

  Dac EGAC00001001884

• Data Access Commitee for Dietrich and Wendisch et al., SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis (Submitted)

  Dac EGAC00001002335

• Institute of Neuropathology - University of Freiburg Medical Center

  The Data Access Committee of the Institute of Neuropathology Freiburg.

  Dac EGAC50000000033

• DAC anti-MPO BCR sequences

  DAC for the requests of access to data of anti-MPO BCR sequences in the EGA repository,

  Dac EGAC50000000446