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• Englander Institute for Precision Medicine - WCM - Yale - Duke DAC

  Dac EGAC00001001777

• Single cell multi-omics (scNOVA) group for CLL)

  Dac EGAC00001001880

• DAC for Smart-seq2 kidney glomerular single cell project

  Dac EGAC00001001895

• DAC for de-methylation of the FOXP3-TSDR study

  Dac EGAC00001001902

• Data access Commitee for anti-PD1 in HCC data

  Dac EGAC00001002404

• Data Access Committee for Niigata-NIG collaborative work

  Dac EGAC00001002429

• Data Access Committee for Niigata-NIG collaborative work

  Dac EGAC00001002469

• DAC for tFL with PMBL GE signature Exome samples

  Dac EGAC00001002474

• Center for International Blood and Marrow Transplant Research (CIBMTR)

  Dac EGAC00001002536

• Single cell multi-omics (scNOVA) group for Skin fibroblast

  Dac EGAC00001002833

• AmsterdamUMC Data Access Committee for the EPIC-CD study

  Dac EGAC00001003480

• DAC for RNAseq data in B cell malignancies

  Dac EGAC50000000399

• Data Access Committee for Triple Negative Breast Cancer dataset

  Dac EGAC00001003584

• The EMC-HEMA-SCN DAC for severe congenital neutropenia data

  Dac EGAC00001003590

• DAC for GWAS of Phenytoin-Induced SJS/TEN in Thailand

  Dac EGAC00001003602

• Genomic and transcriptome analysis for intrahepatic cholangiocarcinoma

  Study EGAS00001006007

• Test GWAS Data for Training and Computational Benchmarking

  Study EGAS00001007914

• Whole-Genome Sequencing in Multiplex Epilepsy Families

  Epilepsy is one of the most common neurologic disorders, affecting approximately 4% of individuals at some time in their lives. More than 30% of people with epilepsy continue to have seizures despite treatment, and improved approaches to treatment and prevention are sorely needed. In the search for new strategies to reduce the burden of disease, the discovery of specific genes that influence risk offers a novel opportunity to clarify pathogenic mechanisms, identify susceptible individuals prior to seizure onset, and treat and prevent seizures in people at risk. Despite clear evidence of the importance of genetics in susceptibility to epilepsy, only limited progress has been made in identifying the specific genes that influence risk. One of the greatest challenges for genetic research on this disorder is its extreme clinical and genetic heterogeneity. Although epilepsy is broadly defined by recurrent unprovoked seizures, it is so variable in its clinical manifestations, natural history, and treatment response that most epileptologists view it as a collection of different syndromes ("epilepsies") with distinct etiologies. The genetic effects on susceptibility are also likely to be extremely variable, ranging from rare variants with high penetrance (some of which produce Mendelian patterns of inheritance) to common variants with low penetrance. Recent findings strongly suggest that rare gene variants play a major role in the genetic architecture of the epilepsies. The purpose of this study was to discover new genetic risk factors for epilepsy. The primary approach was to use whole-genome sequencing to interrogate classes of genetic variants, including very rare variants, in multiplex families. Our main hypothesis was that, in at least some proportion of these families, a single variant would explain all instances of epilepsy. Variants identified within the families could then be tested for cosegregation within the family and also validated by seeing enrichment in sporadic epilepsy cases. Furthermore, understanding the impact of rare variation in epilepsy also has the potential to provide insight into the genetic architecture of other complex human diseases. Our analysis focused on families containing multiple individuals with non-acquired (idiopathic or unknown cause) epilepsy under the hypothesis that these would be enriched for genetic control. The families studied had been previously collected and phenotyped in detail, and contain an average of 3.8 individuals per family with a range of different types of epilepsy. We selected one or two affected individuals from each family for sequencing. This work has generated NGS data on 60 samples from 29 multiplex epilepsy families. We have established that, under a monogenic model of inheritance, sequencing pairs of distantly related relatives is an effective method for reducing the number of candidate variants. Critically, we have found that no single variant can explain a large proportion of these epilepsy families. This work emphasizes that identifying causal variants among the many genetic candidates found in this work will require very large sample sizes and gene-based analyses.

  Study phs000690

• NeuroCHARGE Consortium GWAS of White Matter Hyperintensities on MRI

  Meta-analysis results of white matter hyperintensities (WMH) volume genome wide association study (GWAS) in older population-based studies from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium and the UK biobank.

  Study phs002227

• Myelofibrosis Etiology and Transplant Outcomes

  The Myelofibrosis Etiology and Transplant Outcomes study is a collaboration between the National Cancer Institute and the Center for International Blood and Marrow Transplant Research (CIBMTR). The study aims to identify genomic factors affecting myelofibrosis pathogenesis and prognosis.

  Study phs002635

• COVID-19 ACTIV-4 ACUTE: A Multicenter, Adaptive, Randomized Controlled Platform Trial of the Safety and Efficacy of Antithrombotic Strategies in Hospitalized Adults with COVID-19 (ACTIV4A)

  This is a randomized, open label, adaptive platform trial to compare the effectiveness of antithrombotic strategies for prevention of adverse outcomes in COVID-19 positive inpatients.

  Study phs002694

• Multimodal epigenetic sequencing analysis of cell-free DNA identifies biomarkers for ALS diagnosis and progression

  The role of the epigenome in age-related neurodegenerative disorders remains understudied. Here, we analyzed circulating cell-free DNA (cfDNA) from blood to detect methylation changes as a liquid-biopsy for Amyotrophic Lateral Sclerosis (ALS). Our study included 20 patients with sporadic ALS, 10 patients with C9orf72-associated ALS, 10 asymptomatic carriers of the C9orf72 repeat expansion mutation, and 21 non-disease controls.

  Dac EGAC50000000739

• Genomewide Association Study of Inflammatory Bowel Disease - Combined Controls

  WTCCC genome-wide case-control association study for Inflammatory Bowel Disease (IBD) using six disease collections together with the 1958 British Birth Cohort and the UK National Blood Service collections as controls.

  Study EGAS00000000007

• Single nucleus and spatial transcriptomic characterization of prostate cancer versus normal controls

  10x Genomics Visium and Chromium platforms were used for spatial and single-nuclei RNA-sequencing, respectively. Cohort consisted of 8 prostate cancer patients (8 prostate cancer + 8 paired non-malignant control samples, fresh-frozen)

  Study EGAS50000001143

• Adipose tissue macrophage dysfunction is associated with a breach of vascular integrity in NASH

  Our study describes for the first time the myeloid cell landscape in human visceral adipose tissue at single-cell level within a cohort of well-characterized patients with non-alcoholic fatty liver disease.

  Study EGAS50000000424