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• Endometrial Cancer Association Consortium - OncoArray Genotypes

  The data come from 9 studies participating in the Endometrial Cancer Association Consortium (ECAC). ECAC data included in this dbGaP submission include OncoArray data from 4486 endometrial cancer cases genotyped at the Center for Inherited Disease Research (CIDR). Samples were genotyped using the Illumina OncoArray beadchip 500K SNP custom array. Details of the genotyping process and sample selection are included in O'Mara et al, Identification of nine new susceptibility loci for endometrial cancer. Nature Communications (PMID:30093612).

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• Next Generation Mendelian Genetics: Kabuki Syndrome

  The ultimate purpose of this research is to identify genes causing hereditary disorders. We are scaling a new approach to identify the candidate genes and gene mutations that underlie rare human Mendelian (a set of primary tenets relating to the transmission of hereditary characteristics from parent to child) diseases by using exome (protein coding segments of DNA) resequencing. The exome sequences of ten unrelated individuals with a diagnosis of Kabuki Syndrome (OMIM: 147920) were obtained by massively parallel DNA sequencing.

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• Genome Instability in Mammary Cells of Pathogenic BRCA1/2 Mutation Carriers

  It remains unknown if inherited germline mutations in the BRCA1 or BRCA2 gene increase the risk of breast and ovarian cancer by elevating mutation rate in mammary cells. Here we show, using a single-cell whole genome sequencing approach, that mammary luminal epithelial cells isolated from tissues obtained from preventive mastectomy surgeries in women with a pathogenic BRCA1/2 germline mutation, exhibit a statistically significant, increased mutation frequency as compared to age-matched controls without genetic risk of breast cancer.

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• Pharmacogenomics of Mercaptopurine Intolerance in Children with Acute Lymphoblastic Leukemia (AALL03N1)

  Mercaptopurine (MP) is the mainstay of curative therapy for acute lymphoblastic leukemia (ALL). We performed a genome-wide association study (GWAS) to comprehensively identify the genetic basis of MP intolerance in children with ALL in AALL03N1. MP dose intensity was defined as prescribed dose divided by the planned protocol dose during maintenance therapy.  Germline variants in NUDT15 and TPMT were found to be strongly associated with MP intolerance in childhood ALL, which may have implications for treatment individualization in this disease.

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• Small Genomic Insertions Form Enhancers that Misregulate Oncogenes

  ChIP-Seq data from 102 cell lines were processed to identify insertions relative to the human reference genome. To confirm the ability of a computational pipeline to identify insertions that are actually present in these genomes, we PCR-amplified and deeply sequenced regions where insertions were predicted to exist in MOLT4 T-cell acute lymphoblastic leukemia cells. The current study release makes available sequences of amplicons from a tumor cell genome (MOLT4) where a computational pipeline predicted small insertions from orthogonal data.

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• NCT03343197: Clinical Biomarker Data

  Patients with IDH1-mutated low-grade glioma were treated with AG-120 (ivosidenib), AG-881 (vorasidenib), or Placebo for 28 days before surgical resection. A portion of the surgical sample was submitted for exome capture-based transcriptome sequencing (Personalis ACE Whole Transcriptome). Following surgery, subjects had the option to continue (or initiate) treatment with AG-120 or AG-881.This dataset comprises next-generation sequencing data from biopsies obtained in the clinical trial: NCT03343197 (Study of AG-120 and AG-881 in Subjects with Low Grade Glioma).

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• Genetic Effects on miRNA Expression During Mid-Gestation Neocortical Development

  In this study we aimed to find common genetic variants that influence miRNA expression during mid-gestation neocortical development. Small RNA-sequencing from 212 fetal cortical tissue samples between 14 and 21 weeks gestation were used to profile miRNA expression. Combined with donor genotypes, we were able to find miRNA-eQTLs during neocortical development. The dataset provided here includes 212 Small RNA-sequencing files in FASTQ format from cortical wall samples. Also provided here are 212 donor genotypes in PLINK format (hg19).

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• Kids First: Genetic Basis of Fetal Alcohol Spectrum Disorders

  Fetal Alcohol Spectrum Disorder (FASD) is estimated to occur in at least 1-5% of all children in the USA and is a major public health issue. However, in addition to alcohol, other susceptibility factors, such as maternal or fetal genetic variation, must play a role as not all children prenatally exposed to alcohol are similarly affected. The proposed study will examine the role of genetic susceptibility for FASD. This work will help to inform more effective intervention efforts for this common congenital disorder.

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• Metatranscriptomic Sequencing of Pre-Transplant Bronchoalveolar Lavage in Pediatric Stem Cell Transplant Patients

  Children with malignancies, immunodeficiencies, and other life-threatening diseases sometimes receive allogeneic hematopoietic cell transplantation (HCT) as a treatment for their disease. The HCT process can be complicated by the development of lung disease from infection, alloreactivity, or other causes. To identify patients at-risk for post-HCT lung disease, this study uses metatranscriptomic RNA sequencing of bronchoalveolar lavage (BAL) obtained prior to HCT. Sequencing results are associated with the development of post-HCT lung injury. 

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• Single-Cell Genome Sequencing of Gastrointestinal Carcinomas

  We experimentally derived copy number profiles and transcriptome profiles of gastrointestinal cancers using single cell sequencing. Using a microfluidic droplet partitioning system, we isolated individual cells of a suspension from a primary solid tumor into droplets. These droplets tag the resultant genomic or transcriptomic material with an identifying barcode that enables bioinformatic single cell tracking. From this joint analysis, we determined the overall level of genomic instability for gastrointestinal cancers as well as transcriptomic consequences from these events.

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