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• Vitamin-D-Kids Asthma

  The Vitamin D Kids Asthma Study (VDKA) was a 48-week multicenter randomized, double-blinded, placebo-controlled trial of vitamin D3 for severe asthma exacerbations in children 6-16 years old, recruited from February 28, 2016 to September 20, 2019. An ancillary study for nasal sampling was conducted at the Pittsburgh site. Prior to randomization, participants completed questionnaires and underwent collection of nasal samples for gene expression studies. VDKA was approved by the IRBs of all participating institutions, and the ancillary study was approved by the IRB of the University of Pittsburgh. Written parental consent was obtained for participating children, from whom written assent was also obtained.

  Study phs004051

• Long-read single-cell RNA sequencing uncovers cell-type specific transcript regulation in COVID-19

  SARS-CoV-2 infection leads to extensive host transcriptomic changes, but the role of alternative splicing in shaping the immune response remains underexplored. Here, we present the first application of long-read single-cell RNA sequencing on nasopharyngeal swabs from COVID-19 patients and healthy controls to resolve transcript-level changes across cell types. Leveraging the strengths of long-read sequencing, we characterize alterations in both gene and isoform expression within cell populations of the upper respiratory tract—the primary site of SARS-CoV-2 entry. This approach provides new insights into how transcriptional regulation and splicing shape host immune responses to viral infection.

  Study EGAS50000001290

• Multi-modal spatial characterization of tumor-immune microenvironments in diffuse large B-cell lymphoma

  We have leveraged spatial transcriptomics together with proteomic and genomic analysis to investigate the spatial immunology and pathobiology of DLBCL. We define distinct cellular niches that differ in frequency across tumors, related to both Epstein-Barr virus (EBV) infection status and the anatomical site of the tumor, and show that residence within different cellular niches is associated with divergent functional states of T-cells and tumor B-cells due to different patterns of cell-cell communication. This provides a framework for understanding stereotyped patterns of spatial organization in DLBCL and immunological interactions associated with heterogeneity in immune cell infiltration and function across patients.

  Study EGAS50000001146

• He et al. RNA-seq data

  This dataset are the bam files of RNA-seq data from the paper by He et al.

  Dataset EGAD00001007135

• Sequencing data for oesophageal and related samples - Nowicki-Osuch, Zhuang et al (bulk RNA)

  Data supporting: “Deep molecular phenotyping reveals the identity of Barrett’s esophagus and its malignant transition.” Nowicki-Osuch, Zhuang et al. RNAseq (BAM files) 241 tumour samples

  Dataset EGAD00001005388

• OSCC WES + WGS Boot et al. 2020

  Study EGAS00001004376

• Platelet DNA study Murphy et al 2023 DAC

  Dac EGAC00001003034

• Ewing's Sarcoma RNA-Seq

  28 Pretreated Ewing sarcoma tumor blood samples were collected from the Hospital for Sick Children (SickKids) and Mount Sinai Hospital in Toronto, Canada in accordance with each institution’s Research Ethical Board (REB) guidelines. Detailed clinical information (age at presentation, gender, tumor site, stage, etc.) were obtained from the corresponding institutional tumor banks. Transcriptome (RNA-Seq) sequencing was performed using established protocols on Illumina instruments.

  Dataset EGAD00001004188

• A tumor focused approach to resolving the etiology of DNA mismatch repair deficient tumors classified as suspected Lynch syndrome

  Routine screening of tumors for DNA mismatch repair (MMR) deficiency (dMMR) in colorectal (CRC), endometrial (EC) and sebaceous skin (SST) tumors leads to a significant proportion of unresolved cases classified as suspected Lynch syndrome (SLS). A tumor-focused testing approach reclassified 86.9% of SLS into Lynch syndrome, sporadic dMMR or MMR-proficient cases. These findings support the incorporation of tumor sequencing and alternate MLH1 methylation assays into clinical diagnostics to reduce the number of SLS patients and provide more appropriate surveillance and screening recommendations.

  Study EGAS50000000021

• Genome Wide Association Study of Subjects with Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS)

  Myalgic encephalomyelitis, also known as chronic fatigue syndrome or ME/CFS, is a complex and heterogeneous disease that severely impacts the health and quality of life of those afflicted. Several lines of evidence support the possibility that ME/CFS development may involve a heritable component. In this pilot study, 42 cases that meet the diagnostic criteria of ME/CFS and 38 healthy controls were consented into this study. The goal of this study was to identify candidate polymorphisms that can be used for a large multi-center screening study.

  Study phs001015

• Genetic Variants Influence on the Placenta Regulatory Landscape

  This study of the regulatory landscape of the placenta relies on the identification of associations between genetic variant and gene expression changes (eQTLs); genetic variant and DNA methylation changes (mQTLs); and, gene expression change and DNA methylation change (eQTMs). It involves the analysis of DNA sequence variation (n=303), DNA methylation (n=303) and mRNA expression data (n=80) from placentas from healthy women. Such studies are crucial to fully apprehend the complexity of the regulatory landscape and to support further analysis focusing and disease driven phenotype.

  Study phs001717

• WES of Mino-VEN-R Mantle Cell Lymphoma Cells

  This project investigates the genetic basis of therapy resistance in mantle cell lymphoma (MCL) using whole exome sequencing (WES) of the Mino_VEN_R cell line, a model of resistance to pirtobrutinib, a non-covalent BTK inhibitor. Our study suggested that drug-tolerant persister (DTP) cells evade therapy through metabolic and phenotypic reprogramming. By analyzing the exome profile of resistant cells, this study aims to identify mutations associated with treatment escape and cellular plasticity. The findings will contribute to a better understanding of resistance mechanisms and support the development of more effective therapeutic strategies.

  Study EGAS50000001088

• Autozygosity pilot - Born in Bradford (2017-05-11)

  The offspring of first cousin marriages have ~6% of their genome autozygous, i.e. homozygous identical by descent, or even more if there was further consanguinity in their ancestry. In the UK there are large populations with very high first cousin marriage rates of 20-50%. Sequencing the exomes of a sample of these individuals has the potential both to support genetic health programmes in these populations, and to provide genetic research information about rare loss of function mutations. This pilot study based on existing cohort samples from the Born In Bradford study will identify homozygous individuals for almost all variants down to an allele frequency around 1%, plus individuals carrying hundreds of new homozygous rare loss-of-function variants, and will support development of community relations and ethics for a wider study currently being designed. The data deposited in the EGA consist of low coverage whole exome sequencing on these samples. This dataset contains all the data available for this study on 2017-05-11.

  Dataset EGAD00001003329

• Whole Genome sequencing of Angolan and Mozambican individuals

  To support the continued discovery and cataloguing of genomic variation in human populations and to further our understanding of the Bantu Expansion, we sequenced the genomes of 291 individuals from Cabinda, a northern exclave of Angola, and 49 individuals from Maputo, the capital of Mozambique. Utilising the power and flexibility of these whole-genome sequencing datasets, we discover rare variation, fine-scale population structure, and perform analyses using haplotype-based inference tools and our own model-based simulation framework to reconstruct complex dispersals of Bantu speak-ing populations across sub-Saharan Africa.

  Study EGAS00001007458

• Thirant et al Nature Communications 2023 Data Access Commitee

  Dac EGAC00001003192

• DAC Bonaguro et al. 2021, STAT1 AM RNAseq

  Dac EGAC00001001963

• Kutanan and Liu et al 2021 Thai study DAC

  Dac EGAC00001002553

• Gut metagenome/FINRISK 2002 (Salosensaari et al. Nature Comms 2021)

  The main goal of the project is the study the associations between the gut metagenome and human health. The dataset contains data for n=7211 FINRISK 2002 participants who underwent fecal sampling. Demultiplexed shallow shotgun metagenomic sequences were quality filtered and adapter trimmed using Atropos (Didion et al., 2017), and human filtered using Bowtie2 (Langmead and Salzberg, 2012).

  Study EGAS00001005020

• Dopaminergic neuron differentiation of human embryonic stem cells

  2 replicates of dopaminergic neuron differentiation of human embryonic stem cells from timepoints day 17 and day 28, performed with 10X Genomics single cell RNA-seq. Part of the Ásgrimsdottir et al. (Arenas Lab).

  Study EGAS50000001099

• RNA-Seq data from 34 CAF-S3 subset in human breast and ovarian cancers

  This dataset is related to publications Costa et al. Cancer Cell 2018 and Givel et al. Nat. Commun. 2018 which describe the identification of 4 Cancer Associated Fibroblasts (CAF) in breast and ovarian cancer. This dataset contains transcriptomic profiles obtained by RNA-Seq of 34 CAF-S3 samples from breast and ovarian Tumors.

  Dataset EGAD00001004810

• RNA seq of MPNST tumour samples

  RNA sequencing of 10 MPNST tumour samples as part of a larger study of MPNST. Article: Lyskjær et al, 2020, J Pathol, "H3K27me3 expression and methylation status in histological variants of malignant peripheral nerve sheath tumours".

  Study EGAS00001004528

• Healthy Never Smokers

  Bronchial brushing dataset from healthy never-smokers after exposure to diesel exhaust. Include 18 samples from 9 research participants who underwent bronchoscopy after controlled exposure to diesel exhaust. Main study design described in detail in Ryu et al 2022 AJRCCM (PMID: 35202552). This dataset was used in Hill et al Nature 2023.

  Dataset EGAD00001010024

• RNA-seq data of breast cancer HCI011 model from Ros et al (2020)

  RNA-seq data of the HCI011 and HCI011R models, GDC032 treated and control (total of 21 samples), from the paper: FOXM1 is a biomarker of resistance to PI3Kα inhibition in ER+ breast cancer that is detectable using metabolic imaging (Ros et al, 2020)

  Dataset EGAD00001006245

• Liu et al Taiwan genome-wide data DAC

  Dac EGAC00001003038

• Thirant, Peltier et al Data Access Commitee

  Dac EGAC00001001789