DAC

NIHR BioResource DAC

Dac ID Contact Person Email Access Information
EGAC00001000259 BioResource DAC dac [at] bioresource [dot] nihr [dot] ac [dot] uk https://bioresource.nihr.ac.uk/using-our-bioresource/academic-and-clinical-researchers/apply-for-bioresource-data/

This DAC controls 28 datasets:

Dataset ID Description Technology Samples
EGAD00001001333 Whole exome sequencing BAM files for samples from the BRIDGE Consortium with pathogenic or likely pathogenic variants on genes linked to bleeding or platelet disorders. Illumina HiSeq 2000 28
EGAD00001004357 Whole genome sequencing of sick children in neonatal and paediatric intensive care units. Datasets EGAD00001007780 (GRCh37) and EGAD00001007868 (GRCh38) are extentions of this dataset. Illumina HiSeq 2000 219
EGAD00001004513 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Cerebral Small Vessel Disease (CSVD) Rare Disease domain Illumina HiSeq 2000 226
EGAD00001004514 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Hypertrophic Cardiomyopathy (HCM) Rare Disease domain Illumina HiSeq 2000 258
EGAD00001004515 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project.Participants from the Intrahepatic Cholestasis of Pregnancy (ICP) Rare Disease domain Illumina HiSeq 2000 305
EGAD00001004516 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Neuropathic Pain Disorders (NPD) Rare Disease domain Illumina HiSeq 2000 206
EGAD00001004517 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Primary Membranoproliferative Glomerulonephritis (PMG) Rare Disease domain Illumina HiSeq 2000 191
EGAD00001004518 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Steroid Resistant Nephrotic Syndrome (SRNS) Rare Disease domain Illumina HiSeq 2000 273
EGAD00001004519 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Bleeding, Thrombotic and Platelet Disorders (BPD) Rare Disease domain Illumina HiSeq 2000 1140
EGAD00001004520 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Inherited Retinal Disorders (IRD) Rare Disease domain Illumina HiSeq 2000 735
EGAD00001004521 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Multiple Primary Malignant Tumours (MPMT) Rare Disease domain Illumina HiSeq 2000 623
EGAD00001004522 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Neurological and Developmental Disorders (NDD) Rare Disease domain Illumina HiSeq 2000 423
EGAD00001004523 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project.Participants from the Primary Immune Disorders (PID) Rare Disease domain Illumina HiSeq 2000 1397
EGAD00001004524 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Stem cell and Myeloid Disorders (SMD) Rare Disease domain Illumina HiSeq 2000 257
EGAD00001004525 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Pulmonary Arterial Hypertension (PAH) Rare Disease domain Illumina HiSeq 2000 918
EGAD00001005023 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. 5208
EGAD00001005026 The Donor InSight III study, undertaken by Sanquin research, recruited 3,046 Dutch blood donors between 2015 and 2016. The purpose of the study was to gain more insight into characteristics of donors, their motivations and health. All participants were at the time of recruitment active blood donors. 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. 2688
EGAD00001005122 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Leber Hereditary Optic Neuropathy (LHON) Rare Disease domain Illumina HiSeq 2000 71
EGAD00001005123 Short read whole genome sequencing (WGS) CRAM files for the NIHR BioResource Rare Diseases WGS project – Participants from the Ehler-Danlos (ED) and ED-like Syndromes (EDS) Rare Disease domain. Illumina HiSeq 2000 23
EGAD00001005950 Gray Platelet Syndrome (GPS) is a rare recessive bleeding disorder resulting from biallelic variants in NBEAL2. As part of a comprehensive evaluation of the phenotype and genotype in 47 patients with GPS, four different blood cell-types (platelets, neutrophils, monocytes, and CD4-lymphocytes) were evaluated using bulk RNA-seq in five patients and five controls. These data are deposited in this archive in FASTQ format. Illumina HiSeq 4000 40
EGAD00001006065 Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and mediating genes for more than half such disorders remain to be discovered. We implemented whole-genome sequencing (WGS) in a national healthcare system to streamline diagnosis and to discover unknown aetiological variants, in the coding and non-coding regions of the genome. In a pilot study for the 100,000 Genomes Project, we generated WGS data for 13,037 participants, of whom 9,802 had a rare disease, and provided a genetic diagnosis to 1,138 of the 7,065 patients with detailed phenotypic data. We identified 95 Mendelian associations between genes and rare diseases, of which 11 have been discovered since 2015 and at least 79 are confirmed aetiological. Using WGS of UK Biobank1, we showed that rare alleles can explain the presence of some individuals in the tails of a quantitative red blood cell (RBC) trait. Finally, we reported 4 novel non-coding variants which cause disease through the disruption of transcription of ARPC1B, GATA1, LRBA and MPL. Our study demonstrates a synergy by using WGS for diagnosis and aetiological discovery in routine healthcare. Illumina HiSeq 4000 1
EGAD00001007776 This dataset contains whole blood transcriptome data generated from 93 patients with COVID-19 across a range of severities and 23 healthy controls. All patients were PCR positive for SARS-CoV-2 and disease severity ranged from asymptomatic to severe disease requiring ventilation. Individuals without symptoms, or with mild symptoms, were recruited from routine screening of healthcare workers, while COVID-19 patients were recruited at or soon after admission to Addenbrooke’s or Royal Papworth hospitals. Blood samples were taken at recruitment and then again four weeks later. Further details of the cohort and the generation of the RNA-Sequencing data can be obtained from Bergamaschi, L. et al. Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease. Immunity 54, 1257-1275 e8 (2021). Illumina HiSeq 4000 768
EGAD00001007777 This dataset contains multiplexed fastq files containing raw BCR repertoire data Illumina MiSeq 11
EGAD00001007780 Whole genome sequencing of sick children in neonatal and paediatric intensive care units, aligned to reference assembly GRCh37. Illumina HiSeq 2000 0
EGAD00001007868 Whole genome sequencing of sick children in neonatal and paediatric intensive care units, aligned to reference assembly GRCh38. Illumina HiSeq 2000 449
EGAD00001007885 Short read whole genome sequencing (WGS) VCF files for the NIHR BioResource Rare Diseases WGS project – Participants from the Hypertrophic Cardiomyopathy (HCM) Rare Disease domain 257
EGAD00001008368 NA Illumina MiSeq 56
EGAD00010002059 NIHR BioResource Common Disease Patients 2016. The dataset includes 13489 samples from blood donors, they were not screened for any particular disease, and therefore they are representative of the general population. Genomic data includes 845487 snps collected using the UK BioBank V1 Affymetrix array. Phenotypic data includes gender, age, ethnicity and disease. According to our internal quality check there are 81 duplicates in this dataset. Genotyped using UK Biobank Axiom Array (Applied Biosystems/Thermofisher), read on GeneTitan Multi Channel System (Affymetrix/ThermoFisher) and analysed with the Axiom Analysis Suite (Applied Biosystems/Thermofisher) 13490