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• INMUNGEN_CoV2_phenotype_basic

  Basic phenotypes for INMUNGEN_CoV2 cohort.

  Dataset EGAD00001007846

• Hostage_4_phenotype_lab

  Lab values for Hostage4 cohort.

  Dataset EGAD00001007845

• Hostage_4_phenotype_basic

  Basic phenotypes for Hostage4 cohort.

  Dataset EGAD00001007844

• Hostage_3_phenotype_lab

  Lab values for Hostage3 cohort.

  Dataset EGAD00001007843

• Hostage_1_phenotype_basic

  Basic phenotypes for Hostage1 cohort.

  Dataset EGAD00001007838

• Hostage_2_phenotype_lab

  Lab values for Hostage2 cohort.

  Dataset EGAD00001007841

• GEN_COVID_phenotype_lab

  Lab values for GEN_COVID cohort.

  Dataset EGAD00001007837

• GEN_COVID_phenotype_basic

  Basic phenotypes for GEN_COVID cohort.

  Dataset EGAD00001007836

• BelCovid_2_phenotype_lab

  Lab values for BelCovid2 cohort.

  Dataset EGAD00001007835

• Validation of cfDNA fragmentome analyses for early detection of liver cancer

  Study EGAS00001008111

• Characterizing Disease-Causing Variants Using Personal Genomes with Large Recurrent Deletions

  Individuals with recurrent genomic deletions are known to present variable clinical phenotypes, despite the apparent identical range of the genomic segments being affected in their genomes. We propose to study the phenotypic variability and the molecular polymorphism in individuals with the recurrent 17q12 deletions or the recurrent 1q21.1 deletions, with the objective to establish causal relationship between the genotypes and the incompletely penetrant clinical phenotypes. Genome sequencing and phenotypic data from individuals with the deletions and their relatives are included in this submission.

  Study phs002613

• DAC for Whole Genome Sequencing Expands Diagnostic Utility and Improves Clinical Management in Pediatric Medicine

  Dac EGAC00001000419

• Data access policy for PDTX Breast Cancer RNA-seq data from Ros et al (2020)

  Dac EGAC00001001620

• DAC for "Detection of Gene Fusions using Targeted Next-Generation Sequencing – a Comparative Evaluation"

  Dac EGAC00001001905

• Data Access Committee for study Genetics of Preeclampsia at High Altitudes

  Dac EGAC00001002097

• DAC for YCC Sarcoma

  Access can be granted by contacting Hyo Song Kim (hyosong77@yuhs.ac).

  Dac EGAC50000000046

• Identification of IQCH as a calmodulin-associated protein required for sperm motility in humans

  Study EGAS00001007423

• DAC - A standardised framework for robust fragmentomic feature extraction from cell-free DNA sequencing data

  Dac EGAC00001003530

• Human glioblastoma single cell DAC (Linnarsson)

  DAC for human glioblastoma single cell sequencing samples

  Dac EGAC50000000575

• Human developing meninges single cell DAC (Linnarsson)

  DAC for human developing meninges single cell sequencing

  Dac EGAC50000000576

• Asan Medical Center Data Access Committee

  Asan Medical Center Data Access Committee for BRISK study.

  Dac EGAC50000000733

• DAC SysMed

  Data access control for datasets submitted by SysMed

  Dac EGAC50000000089

• DAC for Genetic and Microenvironmental Analysis of PTCL at Department of Hematology, University of Tsukuba

  Dac EGAC50000000600

• DAC for "H3K27me3-mediated epigenetic repression regulates neuroblastoma development and contributes to biological heterogeneity"

  Dac EGAC00001003620

• Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma

  Study EGAS00001004288