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• Tytgat Institute for Liver and Intestinal Research Data Access Committee

  Dac EGAC00001001485

• Tytgat Institute for Liver and Intestinal Research Data Access Committee

  Dac EGAC00001001615

• Epichaperome - Englander Institute for Precision Medicine - Weill Cornell Medicine DAC

  Dac EGAC00001001890

• DAC for the study EGAS00001005773

  Dac EGAC00001002411

• Tytgat Institute for Liver and Intestinal Research Data Access Committee

  Dac EGAC00001002437

• DAC for COPD human sputum 16s rRNA gene sequencing data

  Dac EGAC00001002779

• EGAD00010000819

  Summary statistics from meta-analysis for BP phenotypes

  Dataset EGAD00010000819

• Data access committee for sequencing data at Kyoto University

  Dac EGAC50000000045

• Data access committee for neural retina and retinal organoid data

  Dac EGAC50000000019

• bed_files

  Bed files as whitelist for Tapestri Insights analysis

  Dataset EGAD00010002560

• DAC for access to array genotypes from the PREGO biobank.

  Dac EGAC00001003484

• Centre for Drug Repurposing and Medicines Research Data Access Committee

  Dac EGAC00001002764

• XClone for analyzing somatic copy number alterations Data Access Committee

  Dac EGAC00001003492

• Single cell multi-omics committee for CK-AML

  Dac EGAC00001003353

• Developmental and Stem Cell Biology department - Hospital for Sick Children

  Dac EGAC00001002951

• Anne Eugster, Center for Regenerative Therapies Dresden, TU Dresden

  Dac EGAC50000000315

• WGBS and oxBS-seq for APL

  Study EGAS00001005610

• Data access committee for sequencing data generated by Wyatt Lab

  Dac EGAC50000000538

• University of Melbourne Centre for Cancer Research (UMCCR) Data Access Committee

  Dac EGAC00001003567

• AGLCD sequencing data

  sequencing datasets for AGLCD patient

  Dac EGAC50000000852

• MK Clinical Trial DAC

  DAC for MK Clinical Trial Data

  Dac EGAC50000000677

• DAC_TWINS

  DAC related to monozygotic twins discordant for ALS

  Dac EGAC50000000517

• Discovering the Genetic Basis of Cleft Palate: CIDR

  Cleft palate (CP) is a common craniofacial structural birth defect caused by the incomplete closure of the palate (the structure separating the oral and nasal cavities), resulting in feeding, speech, and hearing problems. CP accounts for 33% of all orofacial clefts (OFCs) or approximately 1 in 1500 babies born worldwide. Although CP is commonly grouped with other types of orofacial clefts (e.g. cleft lip or cleft with cleft palate), CP is embryologically and epidemiologically distinct, suggesting a unique etiology. The risk of CP recurrence in first degree relatives is over 50-fold higher than the population risk, suggesting a strong genetic component. However, there have been a dearth of genetic studies for CP. Three well-powered genome-wide association studies and meta-analysis have revealed only two associated loci, neither of which account for a large portion of the genetic heritability in any population. The goal of this study is to elucidate the genetic architecture of CP by performing whole genome sequencing of case-parent trios in a well-phenotyped, multi-ethnic cohort. 

  Study phs002220

• INCLUDE: Genetic Underpinnings of the Multifactorial Phenotype of Trisomy 21 Patients Unveiled by Multi-Omics Approaches

  The INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project is an NIH-wide collaboration that seeks to improve health and quality-of-life for people with Down syndrome. The INCLUDE Project Data Coordinating Center and partners created the INCLUDE Data Hub, a centralized data resource that allows access to large-scale clinical and multi-omics datasets specific to Down syndrome and supports collaborative, cloud-based analysis to accelerate scientific discoveries related to Down syndrome and its co-occurring conditions.Down syndrome (DS) is the most common chromosomal abnormality in livebirths with an incidence of 1 in 700 in the US. To better understand the pathophysiology of DS, this proposal will generate and analyze sequence data on 777 pediatric DS patients from the Children's Hospital of Philadelphia (CHOP), as well as 321 mothers and 148 fathers. We anticipate that the information derived from this deeply-phenotyped cohort will allow for improved understanding of the pathophysiology and molecular mechanisms underlying DS-associated comorbidities, which may inform on new practices for treatment or innovative future therapies.

  Study phs002983

• The Dynamic Landscape of Open Chromatin During Human Cortical Neurogenesis

  Non-coding regions comprise most of the human genome and harbor a significant fraction of risk alleles for neuropsychiatric diseases, yet their functions remain poorly defined. We created a high-resolution map of non-coding elements involved in human cortical neurogenesis by contrasting chromatin accessibility and gene expression in the germinal zone and cortical plate of the developing cerebral cortex. To obtain a high resolution depiction of chromatin structure and gene expression in developing human fetal cortex, we dissected the post-conception week (PCW) 15-17 human neocortex into two major anatomical divisions to distinguish between proliferating neural progenitors and post mitotic neurons: (1) GZ: the neural progenitor-enriched region encompassing the ventricular zone (VZ), subventricular zone (SVZ), and intermediate zone (IZ) and (2) CP: the neuron-enriched region containing the subplate (SP), cortical plate (CP), and marginal zone (MZ). Tissues were obtained from three independent donors and three to four technical replicates from each tissue were processed for ATAC-seq to define the landscape of accessible chromatin and RNA-seq for genome-wide gene expression profiling.

  Study phs001438