14509 results for "PLOS+ONE+Pennsylvania+German+ACS+language+code+pdc+open+access+study"

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• TMD_AMLK Exome Study

  TMD_AMLK Exome Study

  Dataset EGAD00001000070

• Air Pollution Study - DuplexSeq data

  Air Pollution Study - DuplexSeq data

  Dataset EGAD00001010021

• LCNEC study - WGS dataset

  WGS dataset LCNEC study

  Dataset EGAD00001000977

• Melanoma-TIL Study Exomes

  Melanoma-TIL Study Exomes

  Dataset EGAD00001000243

• Brain_Disease_Wellcome_Leap_Delta_Tissue_ATAC

  Single cell and spatial multi-omic atlas of glioblastoma

  Study EGAS00001008083

• DNA Methylation Studies in CREW Cohorts (URECA and COAST)

  Children's Respiratory Environment Workgroup (CREW) is an NIH-funded project consisting of 12 individual U.S. cohorts and three scientific centers working together to identify phenotypes and causes of childhood asthma. CREW includes data from a large number of children and their families, with broad diversity in terms of ethnicity, family characteristics, neighborhoods and geographic locations. In this study, we identified differentially methylated regions from whole-genome bisulfite sequencing (WGBS) in nasal epithelial cells from 39 children of European or African ancestries, and with or without allergic asthma. Study participants were from two of the CREW cohorts: the Urban Environment and Childhood Asthma (URECA) cohort and the Childhood Origins of Asthma (COAST) cohort.The URECA children are also participants of a larger genetic study, in which DNA samples are derived from blood. That data is presented in the "Whole Genome Sequencing in the Inner City Asthma Consortium (ICAC) Cohorts - phs002921" study.

  Study phs003321

• Germline

  This study is part of the 'First 1,000 Days of Life and Beyond' study at the Inova Translational Medicine Institute. Whole-genome sequencing data from 1,291 parent-offspring trios was used to study the properties of clustered de novo mutations. The maternal clusters were found to be enriched in regions with accelerated maternal mutation rate and show distinct mutational signatures. For additional details, please refer to: "Germline de novo mutation clusters arise during oocyte aging in genomic regions with increased double-strand break incidence". Jakob M. Goldmann, Vladimir B. Seplyarskiy, Wendy S.W. Wong, Thierry Vilboux, Pieter B. Neerincx, Dale L. Bodian, Benjamin D. Solomon, Joris A. Veltman, John F. Deeken, Christian Gilissen, John E. Niederhuber. Nature Genetics.

  Study phs001522

• Genomic Landscape of High-Grade Neuroendocrine Neoplasms

  This project is a multi-omics study of high grade (grade 3) neuroendocrine neoplasms across diverse organs. Genomic analysis using low-pass whole genome sequencing for copy number analysis, whole exome sequencing and whole transcriptomic sequencing using RNAseq were performed. As high grade neuroendocrine neoplasms are highly lethal with a median survival of approximately 7 months, new insights are urgently needed for better prognosis, diagnosis and management. This study focuses on gene and pathway discoveries in this cancer, and includes samples from a diverse set of organs, including the lungs, gastroenteropancreatic tract, breast, prostate, head and neck and bladder. This study was made possible by a generous donation from The Helen B. Rodde Fund.

  Study phs002070

• TRACERx 100: RRBS data from a subset of the first 100 TRACERx tumours

  TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC). This study looks at multi-region RRBS data from the TRACERx100 cohort selected for quantity of material available and high tumour purity. RRBS data was collected for 122 tumour regions across 36 patients each with matched normal. A subset of this cohort was used in a sister study looking at tumour neo-antigen promoter methylation status in NSCLC (71 tumour regions across 28 patients for a total of 99 samples).

  Study EGAS00001003484

• Converging and evolving immuno-genomic routes towards immune escape in breast cancer

  This study explores the evolution of tumor and blood immune microenvironment and related mechanisms that shape breast cancer progression, culminating in a heterogeneous lethal cancer.

  Study EGAS00001004956