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• DAC for Combined MEK and BCL-2/XL inhibition is effective in high-grade serous ovarian cancer patient-derived xenograft models and BIM levels are predictive of responsiveness

  Dac EGAC00001001250

• A Natural History Study of CMT1B, CMT2A, CMT4A and CMT4C

  Charcot Marie Tooth disease (CMT) is an umbrella term that covers any inherited peripheral neuropathy. People with CMT have a problem with the nerves that go to the feet and hands that cause muscle and sensation loss, as well as difficulty with balance. There are at least forty genes that, when mutated, cause CMT. The purpose of this study is to look at the natural history of CMT to see how it changes over time. Particular emphasis will be put on studying people with CMT1B, CMT2A, CMT4A, and CMT4C, though all people with CMT are encouraged to participate. Participants are invited back on a yearly basis to determine how the changes are occurring. Objectives: Determine the natural history and genotype-phenotype correlations of disease-causing mutations in CMT1B, CMT2A, CMT4A and CMT4C as well as other forms of CMT Determine the capability of the newly developed CMTPeds score and the Minimal Dataset to measure impairment and perform longitudinal measurements in patients with multiple forms of CMT over a ten-year window This is a longitudinal study of individuals with CMT. Study participants will be invited to be re-evaluated every year. Evaluations will consist of neurological histories and examinations, selected nerve conduction studies (NCS) as well as completion of assorted clinical outcome measures including the CMTNS, Minimal Dataset, and Peds CMT Scale. Selected CMT patients and controls will also receive glabrous skin biopsies.

  Study phs001419

• HCA_Thymus_Disease

  Single cell RNA sequencing on thymic cells from children with syndromic diseases such as Trisomy 21 and inflammatory/autoimmune diseases such as myasthenia gravis. Our group has previously performed atlasing of the healthy human thymus using single cell transcriptomics and obtained an unprecedented understanding of human thymus throughout development. In this study, we intend to survey diseased human thymus and compare this to healthy to obtain a better understanding of thymic dysfunction in human diseases. The diseases we will survey include congenital conditions such as Down's syndrome, CHARGE syndrome, DiGeorge syndrome as well as acquired diseases such as myasthenia gravis and thymic hyperplasia. We intend to perform genetic and genomic study on the samples, including expression analysis. This will not only help us to understand the cells and molecular pathways affected in dysfunctional thymus; but may also lead to generalisable understandings in human genetic diseases and inflammatory/autoimmune diseases. 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 EGAS00001004310

• Genome - MBD4-deficient AML

  Genome sequencing at diagnosis and post induction for WEHI-AML-1 and WEHI-AML-2. Whole genome sequencing was performed on an Illumina HiSeq X Ten.

  Dataset EGAD00001003568

• 1_fibroblasts_HD_vs_Ctrl_DMSO_Branaplam

  n=4 Ctrl and n=4 HD fibroblasts lines were treated with DMSO or 10nM Branaplam for 72h and RNA-seq was performed.

  Dataset EGAD00001008807

• Dataset-linking-WGS-via-README-for-EGAS00001004884

  This dataset contains 139 Tumor and Control WGS files for samples for Gerhauser et al.,Cancer Cell, 2018, 34:996-1011. WGS and sequencing protocol was earlier described in Weischenfeldt et al, Cancer Cell, 2013.

  Dataset EGAD00001007669

• Y-phylogeny-haplogroupDE (2019-04-03)

  High-coverage whole genome sequences using Hiseq X for 4 individuals to investigate their Y chrosmosmes' relationship to the known phylogeny. 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/ . This dataset contains all the data available for this study on 2019-04-03.

  Dataset EGAD00001004892

• NHLBI TOPMed - NHGRI CCDG: Pakistan Risk of Myocardial Infarction Study (PROMIS)

  The Pakistan Risk of Myocardial Infarction (PROMIS) study is a retrospective multicenter case-control cohort study of individuals with and without coronary heart disease from Pakistan. Multiple biological samples have been collected from the participants including DNA, plasma, serum, and whole blood. The goal of the study is to recruit 20,000 cases and 20,000 controls of Pakistani descent. Eligible cases were individuals aged 30-80 who presented to the emergency department of a participating recruitment center in Pakistan with clinical symptoms consistent with a myocardial infarction (MI), ECG changes consistent with MI, elevated troponin levels consistent with MI, and no prior history of cardiovascular disease. Controls were individuals of Pakistani descent who did not have a self-reported history of cardiovascular disease. This site hosts data generated via NHLBI's TOPMed program and NHGRI's Common Disease Genomics (CCDG) program. Both whole exome and whole genome data are presented here, namely 4,211 whole genomes from TOPMed, 3,859 whole genomes from NHLBI supplemental funds, 1,136 whole genomes and 16,855 whole exomes from CCDG. Please note that there is additional legacy whole exome data (7,298 subjects) also generated via NHGRI funds as part of the MIGen Exome Sequencing project that can be found in dbGaP at phs000917.

  Study phs001569

• Chromatin 3D interactions mediate genetic effects on gene expression

  Studying the genetic basis of gene expression and chromatin organization is key to characterize the effect of genetic variability on the function and structure of the human genome. Here, we unravel how genetic variation perturbs gene regulation using a dataset combining activity of regulatory elements, gene expression and genetic variants across 317 individuals and two cell types.

  Study EGAS00001003485

• Exome sequencing of advanced hepatocellular carcinoma

  The aim of our project is to decipher the genomic of advanced hepatocellular carcinoma using whole exome sequencing. To this purpose, we aim to compare genetic landscape of advanced hepatocellular carcinoma with early tumor in order to understand the mechanisms of tumor progression. This work will also help to identify new therapeutic targets potentially useful to treat patients at advanced stage. This study contain whole exome sequencing aligned reads for 41 tumor with matched normal samples

  Study EGAS00001003130