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• 503 genotypes from Inner Asia used in 'Close inbreeding and low genetic diversity in Inner Asian human populations despite geographical exogamy' publication

  Inner Asia is particularly interesting to understand human history and evolution, as two groups presenting contrasting cultural traits (notably their language, their social organisation and matrimonial system) cohabit. We sampled 503 individuals from these two groups, belonging to 17 populations from 11 distinct ethnic groups (AltaiKizhi, Kazakh, Khakas, Kyrgyz, Mongolian, Shore, Tajik, Telengit, Tubalar, Turkmen and Uzbek). The samples were then genotyped with 5 different DNA-arrays and, after quality-control, the 253,532 autosomal SNPs present in all the arrays were merged together in the present dataset.

  Study EGAS00001002951

• Transcriptional characterization of human innate lymphoid cells (ILCs) and natural killer (NK) cells from fresh umbilical cord blood

  The heterogenicity of cord blood ILCs (ILC1, ILC2, ILC3) and NK cells in humans has so far not been assessed. In this study, we sorted from fresh cord blood the respective cell types from 3 donors and performed single-cell transcriptome analysis. To achieve high resoluation, each sorted population was labelled individually via multiplexing antibodies and subsequent Abseq staining before pooling. To determine single-cell transcriptomes the BD Rhapsody pipeline was performed. This is the first data set to characterize human ILCs and NK cells at such depth.

  Study EGAS50000001204

• Test Study for EGA using data from 1000 Genomes Project - Big CRAM, BAM, VCF and BCF files used for testing

  This is a test study for EGA using data from 1000 Genomes Project, specifically created to add more diversity to the existing dataset EGAD00001003338. This Test Study should NOT be confused with the real study of 1000 Genomes Project - Phase 3. Specifically, this study encompasses 4 CRAM, 4 BAM, 2 VCF and 2 BCF files, of different sizes (all above 1 GB), used for testing downloads and monitoring services. It also contains their respective indexes: crai for crams, bai for bams, tbi for vcfs and csi for bcfs.

  Study EGAS00001006718

• Identification_of_drug_resistance_genes_in_cancer_cell_lines_by_insertional_mutagenesis

  Our aim is to identify genes involved in resistance to anti-cancer therapies. In order to do this we have taken advantage of a lentiviral vector (LV)-based insertional mutagen to mutagenize cancer cell lines. LV-transduced cell lines were then treated with anti-cancer therapies and the emergence of resistant clones scored. DNA from pools of resistant clones was collected, subjected to custom capture by baits designed against the LV sequence, and then sequenced to identify the LV-genomic junction. We hope that the identification of recurrently targeted genes in resistant cell population will allow us to identify genes that mediate drug resistance.

  Study EGAS00001001035

• Primary plasma cell leukemia (pPCL) samples were sequenced using the Nimblegen MedExome hybridization capture to detect translocations, copy number changes, and mutations in 20 pPCL samples and patient matched controls.

  Primary plasma cell leukemia (pPCL) is a rare malignancy related to multiple myeloma. Here we have assembled 20 patient samples and performed whole exome sequencing to determine the differences between multiple myeloma and pPCL. CD138+ cells were purified from bone marrow aspirates from patients with pPCL. Control cells were obtained from CD34+ stem cell harvests or CD3+ T cells. DNA was extracted and processed using the HyperPlus library prep kit (KAPA Biosystems) and sequenced using 75 bp paired end reads on an Illumina NextSeq500.

  Study EGAS00001003104

• Discordant_Monozygotic_Twins_ALS(Transcriptomics)

  Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder characterized by motor neuron degeneration. Despite known genetic contributions to both familial and sporadic ALS cases, much of ALS heritability remains unexplained, suggesting the involvement of other genetic and epigenetic factors. To address this gap, we used a comprehensive multi-omics approach, in a pair of Italian monozygotic twins discordant for ALS, integrating DNA methylation, transcriptomics, and whole exome sequencing (WES). Here we share transcriptomic data derived from bulk RNA-seq on RNA extracted from PBMCs of the twin pair. This analysis revealed distinct transcriptomic profiles underlying the discordant disease phenotypes.

  Study EGAS50000000909

• HipSci___RNAseq___Rare_BBS

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we perform RNAseq on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with Bardet-Biedl syndrome This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001001318

• Single cell transcriptomic and genomic profiling of carcinogenesis in patients with familial adenomatous polyposis

  Familial Adenomatous Polyposis (FAP) is characterized by hundreds to thousands of adenocarcinomas at different evolutional stages in the colon and rectum. Much effort has been made to illuminate the key genomic alterations that facilitate the transition from adenoma to carcinoma. However, the strong heterogeneity of the tumors may hamper these efforts. Here, by sequencing matched adjacent normal tissues, adenomas at different stages and carcinomas from the same patient, we precisely traced the process of colorectal carcinogenesis. Our study offers an accurate genomic landscape during the initiation and progression of carcinogenesis, especially for the transition between adenomas and carcinomas.

  Study EGAS00001003598

• COMPARE study: participants typed during UK Biobank version 2 array development phase

  The COMPARE study enrolled 29,066 British blood between donors between February 2016 and March 2017, the study aim is to find the optimum technology for haemoglobin screening (ISRCTN 90871183). All participants were at the time of recruitment active blood donors. The 4,796 participants in this dataset have consented to join the NIHR BioResource. Genotyping data was produced using the Thermo Fisher Scientific Axiom Genotyping platform. The UK Biobank version 2 array design was used, content on this array has been added to allow for accurate DNA based identification of human blood group antigens.

  Study EGAS00001003748

• Methylation_changes_in_OA_patients_with_chronic_exposure_to_cobalt_and_chromium

  We have whole blood from a population of 70 patients, half exposed chronically to an excessof metals cobalt and chromium. The 2 groups are age, sex, and OA diagnosis matched. The2 groups have systemic differences in bone mass and turnover, and other systemicdifferences.We will type the cohort of 70 individuals on the Illumina 450k methylation array and willcompare between the two groups.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001001180