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• Whole genome sequencing of pediatric BCR-ABL1 positive acute lymphoblastic leukemia

  We performed whole-genome sequencing of 18 paired tumor/normal BCR-ABL1+ leukemia genomes and analyzed single nucleotide variations (SNVs), insertion/deletions, structural variations and copy number variations in the tumor and normal genomes

  Study EGAS00001000253

• MET amplification in gastric cancer

  Targeting MET in gastric and gastroesophageal junction adenocarcinoma (GC) with monoclonal antibodies or tyrosine kinase inhibitors has had limited success. We hypothesize that other prognostic and response determining genetic alterations explain the poor outcome and lack of response to MET-targeted therapies.

  Study EGAS50000000744

• TBA

  Analysis of mutational signatures arising in vivo in humans. iPS cells from control patients and100 patients carrying known mutations in DNA repair/editing genes will be generated, andsequenced.Blood from the patients will also be used to generate reference 'germline' sequence data.

  Study EGAS00001000801

• Myeloma WGS

  Most patients with multiple myeloma (MM) die from progressive disease after relapse. To advance our understanding of MM evolution mechanisms, we performed whole-genome sequencing of 80 tumour-normal newly diagnosed pairs and 24 matched relapse tumours from the Myeloma XI trial.

  Study EGAS00001004000

• SJCRH Patient-derived orthotopic xenografts of pediatric brain tumors

  Primary patient pediatric brain tumors from patients treated at SJCRH were implanted and amplified only in the brain of immunocompromised mice without tissue culture steps and referred as patient-derived orthotopic xenografts (Smith et al, Acta Neuropathologica, 2020).

  Study EGAS00001005533

• Targeted sequencing of brain AVM tissues

  We previously identified somatic activating KRAS mutations in a majority of human arteriovenous malformations (AVMs), using whole exome sequencing. We have now performed targeted sequencing on AVMS, investigating genes in the RAS-MAPK pathway, angiogenesis and brain vascular disorders among others.

  Study EGAS00001006729

• Study of Korean Parkinson's disease

  Single nucleotide variants (SNVs) associated with Parkinson’s disease (PD) have been investigated mainly through genome-wide association studies. Here, we conducted whole genome sequencing of 410 PD patients and 200 healthy individuals of the Korean population and identified disease-related SNVs.

  Study EGAS00001006811

• DNA sequencing of sgRNAs in CRISPR-Cas9 screening and RNA sequencing of SF3B4-overexpressing liver organoids

  The dataset contains 18 samples. It includs 12 paired whole genome sequencing, and 2 matched short read and long read RNA sequencing of liver organoids, 2 paired RIP RNA sequencing samples. All the experiments were performed on Illumina platform with raw reads stored in fastq format or bam format.

  Dataset EGAD50000001625

• RNAseq of human intestinal epithelial cell layers cultured in OGM, ENR, and ENRRT

  This dataset contains RNA sequencing data in fastq and bam format from 24 samples of human jejunum organoids grown in 3D configuration or as 2D monolayers on anodisc imaging chambers (AICs) in medium formulations OGM, ENR, and ENRRT. The RNA sequencing samples were sequenced using paired-end sequencing (2x150 bp) on an Illumina NovaSeq 6000 instrument at the SciLifeLab National Genomics Infrastructure (NGI) in Uppsala.

  Dataset EGAD50000001766

• Single-cell Transcriptome Analysis of Plasma Cells Across the Disease Spectrum of Multiple Myeloma

  This dataset includes FastQ files of single-cell RNA sequencing data of 5' GEX and VDJ libraries from CD138+ plasma cells enriched from 72 bone marrow aspirates from patients diagnosed with a monoclonal gammopathy from the multiple myeloma spectrum, including MGUS (n=13), SMM (n = 22), NDMM (n = 17), RRMM (n = 15) and PCL (n = 2); and 3 controls.

  Dataset EGAD50000001179

• Enzymatic methylation sequencing of cell-free pediatric brain tumor DNA from cerebrospinal fluid

  Enzymatic methylation sequencing data generated from cell-free tumor DNA extracted from cerebrospinal fluid (CSF). CSF was gathered from pediatric brain tumor patients of varying diagnoses treated at Connecticut Children's Medical Center, or from the Children's Brain Tumor Network. After DNA extraction, libraries were prepped using the Enzymatic Methyl-seq V2 kit (New England Biolabs).

  Dataset EGAD50000001268

• APS-1 TCR Sequencing

  Single cell TCR sequencing of expanded regulatory T cells (Tregs) in 9 APS-1 patients and 9 ange and gender matched controls. T-cell receptor (TCR) libraries were generated using the Single Cell Human TCR Amplification Kit and the Library Construction Kit from 10x genomics.

  Dataset EGAD50000000261

• Epigenome-wide association study of cocaine use disorder in postmortem human brain tissue

  Analysis of cocaine use disorder (CUD) associated epigenome-wide DNA methylation (DNAm) alterations in human postmortem brain tissue of Brodmann Area 9. Tissue samples from N=21 CUD cases and N=21 individuals without CUD originating from the Douglas Bell Canada Brain Bank (DBCBB) were included. Epigenome-wide DNAm was investigated using the Illumina Infinium MethylationEPIC array.

  Dataset EGAD00010002396

• Prospective cohort patients with Multiple sclerosis and controls

  The sys4MS cohort comprises 350 patients with Multiple Sclerosis (MS) and 9 controls, with 2 years of follow-up. Baseline data includes demographics, clinical scales, disease duration and subtype and use of disease-modifying drugs, brain MRI (volumetry and lesion load), retinal thickness by OCT, genomics (GWAS), cytomics, and phosphoproteomics. Data at the end of follow-up includes clinical scales, brain MRI and OCT.

  Dataset EGAD00010002505

• HIPO016 - glioblastoma tumour methylation microarray profiling

  Methylation microarray profiling (Illumina Human Methylation 450k and EPIC platforms) of 60 adult glioblastomas. Tumours were subtyped using the approach from Sturm et al. (https://doi.org/10.1016/j.ccr.2012.08.024): 12 IDH, 18 MES, 12 RTK I, 18 RTK II. DNA was prepared, assayed on the microarrays, and raw data computationally processed as described in Capper et al., "DNA methylation-based classification of central nervous system tumours": https://www.nature.com/articles/nature26000

  Dataset EGAD00010001797

• RNA-sequencing of T-cell Acute Lymphoblastic Leukemia (T-ALL)

  This dataset contains raw fastq files from the RNA-Seq of 96 T-Acute Lymphoblastic Leukemia. Libraries where prepared using Agilent SureSelect XT-HS2 RNA Reagent Kit. As such, reads contain molecular barcodes that could be specifically handled using the AGeNT tool.

  Dataset EGAD00001010273

• TRACERx NSCLC - Multiregion RNA sequencing data from the 421 cohort

  RNAseq data from the TRACERx 421 cohort

  Dataset EGAD00001009862

• GELATO clinical trial whole exome sequencing data (primary tumors and local recurrences)

  Paired-end whole exome sequencing of 10 lobular breast cancer primary tumors, 3 local recurrences and matched normal samples obtained from 10 unique patients from the GELATO clinical trial. The included raw sequencing data in fastq format was generated using Illumina NovaSeq 6000 from archived FFPE material (tumor data) and fresh frozen material (matched normal data).

  Dataset EGAD00001009836

• Paired ONT and downsampled Illumina cfDNA dataset

  The dataset contains 12 lung cancer plasma cfDNA samples, 8 bladder cancer and 2 healthy control urine cfDNA samples collected in EDTA collection tubes. Shallow WGS was performed using both Oxford Nanopore Technologies' MinION platform with an R9.4.1 flow cell and the SQK-PBK004 kit (22 files) and Illumina Novaseq platform with an S4 flow cell in PE150bp configuration (2x22 files).

  Dataset EGAD00001009392

• Single-cell RNA-seq data of bronchoalveolar lavage (BAL) fluid in late severe COVID-19

  We performed single-cell RNA-sequencing of cells in the bronchoalveolar lavage (BAL) fluid of late severe COVID-19. This study provides detailed insights into the alveolar macrophage response to SARS-CoV-2 infection and reveals a profibrotic macrophage response in severe COVID-19 patients.

  Dataset EGAD00001008161

• CM214 - Biomarker Analysis From the Phase 3 CheckMate 214 Trial of Nivolumab Plus Ipilimumab (N+I) or Sunitinib (S) in Advanced Renal Cell Carcinoma (aRCC)

  CM214 - Biomarker Analysis From the Phase 3 CheckMate 214 Trial of Nivolumab Plus Ipilimumab (N+I) or Sunitinib (S) in Advanced Renal Cell Carcinoma (aRCC)

  Dataset EGAD00001007938

• The natural history of clonal haematopoiesis: phase 6 targeted

  Deep targeted sequencing of 56 genes associated with clonal haematopoiesis and haematological malignancy in peripheral blood-derived DNA from 11 older adults, each previously sampled 2-5 times over the preceding ~13 years.

  Dataset EGAD00001007683

• Whole genome bisulfite sequencing on 10 multiple myeloma cases

  Whole genome bisulfite sequencing on 10 multiple myeloma cases. Data quality control and adaptor-trimmed were performed with the Trimomatic tool. Paired-reads were mapped to the hg19 human reference with methylCtools aligner.

  Dataset EGAD00001007821

• Single-cell RNA sequencing of cytokine-induced T cell responses

  Cytokines affect T cell responses by polarising them to different phenotypes. We isolated T cells from healthy platelet donors and cultured them in resting and stimulated condition, as well as in the presence of Th2, iTreg and Th17 polarizing cocktail. To characterize the efficacy of cytokine induced porization and subpopulation specific response, we profiled single cell transcriptome five days following polarization using 10x platform (3' v2).

  Dataset EGAD00001005290

• RNA sequencing of cytokine-induced T cell responses

  Cytokines affect T cell responses by polarising them to different phenotypes. We isolated T cells from healthy platelet donors and cultured them in resting and stimulated conditions, as well as in the presence of Th1, Th2, Th17 and iTreg cocktail. In addition, T cells were stimulated in the presence of IL-10, IL-21, IL-27, IFNb and TNFa. We performed bulk RNA sequencing to assess impact of different disease-relevant cytokines upon T cell response.

  Dataset EGAD00001005291

• Genetic alterations in benign breast biopsies of subsequent breast cancer patient

  This dataset consists of amplicon sequencing of fibrocystic breast tissues, subsequent cancer tissue and germline control of 17 patients. The target genes include all exons of 27 protein-coding genes and 2 non-coding genes, as well as mutation hotspots in three cancer genes, frequently mutated in breast cancer. Ion AmpliSeq libraries were generated and sequenced on the Ion S5 XL system.

  Dataset EGAD00001004874

• Extreme intratumor heterogeneity and driver evolution in mismatch repair deficient gastro-esophageal cancer

  The dataset includes multi-region exome sequencing (MSeq) of four resected treatment naïve mismatch repair deficient gastro-esophageal cancers. Paired-end sequencing was performed on the Illumina HiSeq 2500 or NovaSeq 6000 with a target depth of 200X. Seven primary tumor regions along with tumor-adjacent non malignant tissue were subjected to MSeq. An additional two lymph node metastases were also included from each of two cases.

  Dataset EGAD00001004594

• RNA-seq of hepatocellular carcinoma xenografts established from needle biopsies

  RNA-sequencing of human hepatocellular carcinoma biopsies (n=14), 44 HCC xenografts derived from 11 HCC biopsies and 3 lymphoma xenografts derived from 3 HCC biopsies. RNA-sequencing was performed using the TruSeq Stranded Total RNA Library Prep Kit with Ribo-Zero Gold (lllumina). SR126 sequencing was performed on an Illumina HiSeq 2500 using v4 SBS chemistry according to the manufacturer’s guidelines.

  Dataset EGAD00001004541

• Congenital mesoblastic nephroma and infantile fibrosarcoma

  The genetic basis of many rare childhood cancers remains unknown. These include a spectrum of infant soft tissue tumors without canonical gene fusions, encompassing congenital mesoblastic nephroma (CMN) of the kidney and infantile fibrosarcoma (IFS). Here, we integrated whole genome and transcriptome sequencing and identified diagnostic markers and novel therapeutic strategies.

  Dataset EGAD00001003885

• Whole genome sequencing of 25 prostate normal and tumor pairs aligned with the CGP BWA-mem workflow.

  Whole genome sequencing data of 25 prostate tumor and corresponding normal samples, aligned with the CGP BWA-mem workflow.

  Dataset EGAD00001003835

• Single-Cell Profiling of Premature Neonate Airways Reveals a Continuum of Myeloid Differentiation

  We set out to develop a reference single-cell transcriptomic profile of airway aspirate samples from extremely premature neonates (collected within an hour of birth). In this study, we profiled samples from 10 subjects. We identified cells in the airways of premature neonates representing a continuum of myeloid differentiation, including fetal monocytes, differentiating myeloid cells, and macrophages. Trajectory analysis identified two trajectories consistent with interstitial and alveolar macrophages, and a bridging trajectory providing an alternative route between these terminal states. We defined 259 alveolar-specific genes, 666 interstitial-specific genes, and 285 bridging-specific genes providing the first single-cell transcriptional map of differentiating airway macrophages in humans.

  Study phs003427

• Genetic landscape of non-Down syndrome acute megkaryoblastic leukemia

  To define the mutation spectrum in non-Down syndrome acute megkaryoblastic leukemia (non-DS-AMKL), we performed transcriptome sequencing on diagnostic blasts from 14 pediatric patients and validated our findings in a recurrency/validation cohort consisting of 34 pediatric and 28 adult AMKL leukemia samples. Our analysis identified a cryptic chromosome 16 inversion [inv(16)(p13.3q24.3)] in 27% of pediatric cases, which encodes a CBFA2T3-GLIS2 fusion protein. Expression of CBFA2T3-GLIS2 in Drosophila and murine hematopoietic cells induced bone morphogenic protein (BMP) signaling, and resulted in a marked increase in the self-renewal capacity of hematopoietic progenitors. These data suggest that expression of CBFA2T3-GLIS2 directly contributes to leukemogenesis.

  Study EGAS00001000379

• HDAC inhibitors in synovial sarcoma cells

  Histone deacetylase (HDAC) inhibition has been shown in previous studies to disrupt the synovial sarcoma oncoprotein complex, resulting in apoptosis. To understand the molecular effects of HDAC inhibition, RNA-Seq transcriptome analysis was undertaken in six human synovial sarcoma cell lines. HDAC inhibition induced pathways of cell cycle arrest, neuronal differentiation and response to oxygen-containing species, effects also observed in other cancers treated with this class of drugs. More specific to synovial sarcoma, polycomb-group targets were reactivated including tumor suppressor CDKN2A, and pro-apoptotic transcriptional patterns were induced. Functional analyses revealed that ROS-mediated FOXO activation and pro-apoptotic factors BIK, BIM and BMF were important to apoptosis induction following HDAC-inhibition in synovial sarcoma

  Study EGAS00001002637

• Case Report: Precision medicine target revealed by in-vitro modelling of relapsed, refractory ALL from a child with neurofibromatosis

  Children with neurofibromatosis have a higher risk of developing juvenile myelomonocytic leukaemia and acute myeloid leukaemia, but rarely develop B-cell acute lymphoblastic leukaemia (B-ALL). Through in-vitro modelling, a novel NF1 p.L2467 frameshift (fs) mutation identified in a relapsed/refractory Ph-like B-ALL patient with neurofibromatosis demonstrated cytokine independence and increased RAS signalling, indicative of leukaemic transformation. Furthermore, these cells were sensitive to the MEK inhibitors trametinib and mirdametinib. Bi-allelic NF1 loss of function may be a contributing factor to relapse and with sensitivity to MEK inhibitors, suggests a novel precision medicine target in the setting of neurofibromatosis patients with B-ALL.

  Study EGAS00001006187

• Whole-exome sequencing of hepatocellular carcinoma biopsies

  All 122 HCC biopsies and 115 non-tumoral tissues from 114 patients were subjected to whole-exome sequencing. Whole-exome capture was performed using the SureSelectXT Clinical Research Exome (Agilent Technologies) or SureSelect Human All Exon V6+COSMIC (Agilent Technologies) platforms according to the manufacturer’s guidelines. Sequencing was performed on an Illumina HiSeq 2500 at the Genomics Facility Basel according to the manufacturer’s guidelines. Paired-end 101-bp reads were generated.

  Dataset EGAD00001008182

• Data Access Policy of the HCEMM - Semmelweis University, Molecular Oncohematology Research Group

  Dac EGAC00001003240

• The University of Hong Kong Gastric Cancer Exome Sequencing Project Data Access Committee

  Dac EGAC00001000032

• Cancer genomics project, the University of Tokyo Data Access Committee

  Dac EGAC00001000087

• Data access committee of the Prostate Cancer Research Center, University of Tampere, Finland.

  Dac EGAC00001000423

• The Chinese University of Hong Kong Hereditary Spastic Paraplegia Data Access Committee

  Dac EGAC00001000493

• The evolutionary history of human colitis-associated colorectal cancer

  Dac EGAC00001000917

• The molecular landscape of glioma in patients with Neurofibromatosis 1

  Dac EGAC00001001004

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002557

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002696

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002697

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002723

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002732

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002815

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002879

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001003017

• The Multiomics Blueprint of Extreme Human Lifespan

  Dac EGAC50000000515

• X chromosome dosage and the genetic impact across human tissues

  Study EGAS00001006996

• Analysis of the genomic landscape of chemoresistant multiple myeloma

  Study EGAS00001003709

• HDAC3 mediates the inflammatory response and LPS tolerance in human monocytes and macrophages

  Study EGAS00001004218

• The impact of urbanization and diet on innate immune responses in healthy Tanzanians

  Study EGAS00001004284

• The University of Hong Kong Gastric Cancer Genomics Study Data Access Committee

  Dac EGAC00001000136

• The University of Hong Kong Gastric Cancer Organoids Genomics Study Data Access Committee

  Dac EGAC00001000981

• The Scientific ethical comittee capital region of Denmark (De videnskabs etiske komiteer region hovedstaden)

  Dac EGAC00001001063

• Expanding the neurodevelopmental phenotypes of individuals with de novo KMT2A variants Data Access Committee

  Dac EGAC00001001147

• Data Access Commitee Polymorphisms in the Mitochondrial Genome associated with Bullous Pemphigoid in Germans

  Dac EGAC00001001341

• DAC: The genomic landscape of primary cutaneous anaplastic large cell lymphoma (pcALCL)

  Dac EGAC00001001607

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002733

• The University of Hong Kong Gastric Cancer Organoids RHO Signaling Study Data Access Committee

  Dac EGAC00001002705

• LEMA

  This DAC will govern access to WES data associated with the LEMA publication

  Dac EGAC50000000560

• scATAC-seq and combined scRNA-seq of the human first trimester neurodevelopment

  Study EGAS00001007472

• Targeted next-generation sequencing of 13 chordoid gliomas of the third ventricle

  Study EGAS00001002733

• Evaluation of the immune effects of tumor-treating electric fields (TTFields) in GBM patients

  Study EGAS00001005392

• The colon KRAS/BRAF variants detection set

  Dataset EGAD00001000835

• WGS BAM files fromxa0Genomic Features and Classification of Homologous Recombination Deficient Pancreatic Ductal Adenocarcinoma

  Background and Aims: Homologous recombination deficiency (HRD) in pancreatic ductal adenocarcinoma (PDAC), remains poorly defined beyond germline(g) alterations in BRCA1, BRCA2 and PALB2. Methods: We interrogated whole genome sequencing (WGS) data on 391 patients including 49 carriers of pathogenic variants (PVs) in g_BRCA_ and PALB2. HRD classifiers were applied to the dataset and included: 1) the genomic instability score (GIS) used by Myriad MyChoice HRD assay; 2) substitution base signature 3 (SBS3); 3) HRDetect; and, 4) Structural Variant (SV) burden. Clinical outcomes and responses to chemotherapy were correlated with HRD status. Results: Biallelic tumour inactivation of g_BRCA_ or PALB2 was evident in 43/49 germline carriers identifying HRD-PDAC. HRDetect (score ?0.7) predicted gBRCA1/PALB2 deficiency with highest sensitivity (98%) and specificity (100%). HRD genomic tumour classifiers suggested that 7-10% of PDAC that do not harbor g_BRCA/PALB2_ have features of HRD. Of the somatic HRDetect cases, 69% were attributed to alterations in BRCA1/2, PALB2, RAD51C/D and XRCC2, and a tandem duplicator phenotype. TP53 loss was more common in BRCA1- compared to BRCA2-associated HRD-PDAC. HRD status was not prognostic in resected PDAC. However in advanced disease the GIS (p=0.02), SBS3 (p=0.03) and HRDetect score (p=0.005) were predictive of platinum response and superior survival. PVs in g_ATM_ (n=6) or g_CHEK2_ (n=2) did not result in HRD-PDAC by any of the classifiers. In four patients, BRCA2 reversion mutations associated with platinum resistance. Conclusions: Germline and parallel somatic profiling of PDAC outperforms germline testing alone in identifying HRD-PDAC. An additional 7-10% of patients without gBRCA/PALB2 mutations may benefit from DNA damage response agents.

  Dataset EGAD00001007571

• Whole exome sequencing in patients with ALS and concomitant FTD lacking the C9orf72 repeat expansion

  Dac EGAC00001000656

• Effect of aging on chromatin accessibility and gene expression in immune cells, The Jackson Laboratory

  Dac EGAC00001000721

• Committee of human data related to the manuscript by Germano et al. Ms2016-04-06029

  Dac EGAC00001000750

• Somatic pathogenic variants in the normal mammary gland of sporadic breast cancer patients.

  Dac EGAC00001002391

• The genomic landscape of early-stage ovarian high grade serous carcinoma Data Access Commitee

  Dac EGAC00001002547

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002708

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001003026

• The European MAPPYACTS trial: Precision Medicine Program in Pediatric and Adolescent Patients with Recurrent Malignancies

  Dac EGAC00001003276

• Genomic validation of the revised Bethesda criteria in terms of pathogenesis and oncologic significance

  Study EGAS00001003959

• DAC Neurology UKW

  DAC of the Department of Neurology, University Hospital Würzburg (UKW), Würzburg, Germany

  Dac EGAC50000000425

• Single-cell dissection of the immune response after a myocardial infarction

  Study EGAS00001007021

• The whole genome landscape of Burkitt lymphoma subtypes

  Study EGAS00001003778

• Genotype data from 'Evidence of the interplay of genetics and culture in Ethiopia'

  Study EGAS00001005171

• Minor intron splicing efficiency increases with the development of lethal prostate cancer

  Study EGAS00001005546

• Comprehensive Whole-Genome Sequence Annotation to Resolve the Genetic Architecture of Cerebral Palsy

  Study EGAS00001006724

• Whole genome sequencing dataset of 200 trio families from the CHILD cohort study.

  Study EGAS00001006725

• The genome-wide mutational consequences of DNA hypomethylation

  Study EGAS00001006845

• The paired FF/FFPE colon set, Exome-Seq

  Dataset EGAD00001000834

• EGAD00000000109

  Gabriel samples from the UK SEVERE cohort

  Dataset EGAD00000000109

• EGAD00000000108

  Gabriel samples from the UK AUGOSA cohort

  Dataset EGAD00000000108

• EGAD00000000107

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000107

• EGAD00000000106

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000106

• EGAD00000000105

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000105

• EGAD00000000104

  Gabriel samples from the Russian UFA cohort

  Dataset EGAD00000000104

• EGAD00000000103

  Gabriel samples from the Russian UFA cohort

  Dataset EGAD00000000103

• EGAD00000000102

  Gabriel samples from the Russian TOMSK cohort

  Dataset EGAD00000000102

• EGAD00000000101

  Gabriel samples from the Russian TOMSK cohort

  Dataset EGAD00000000101

• EGAD00000000094

  Gabriel samples from the UK MRCA cohort

  Dataset EGAD00000000094

• EGAD00000000093

  Gabriel samples from the German MAGIS cohort

  Dataset EGAD00000000093

• EGAD00000000092

  Gabriel samples from the German MAGIS cohort

  Dataset EGAD00000000092

• EGAD00000000091

  Gabriel samples from the Russian KMSU cohort

  Dataset EGAD00000000091