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• Genome-Wide Analysis of Aberrant Position and Sequence of Plasma DNA Fragment Ends in Patients With Cancer

  This study investigated fragmentation characteristics in plasma cell-free DNA and evaluated the relevance of such analysis for cancer diagnostics. Specifically, we performed whole genome sequencing (WGS) of healthy individuals and cancer patients, and evaluated genome-wide coverage and sequences surrounding fragment ends. This was a retrospective study of archived plasma samples. The WGS data are available through this submission. Detailed study design and findings were published in Budhraja et al. Science Translational Medicine 2023.

  Study phs003170

• A Pilot Study to Evaluate Tissue- and Plasma-based DNA Driver Mutations in a Cohort of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasms

  This is a retrospective study aimed at evaluating concordance between intraductal papillary mucinous neoplasm (IPMN) tissue and patient-matched plasma circulating tumor DNA (ctDNA) using a targeted sequencing approach. Archival solid tissue genomic DNA was available for 46 patient FFPE blocks patient-matched plasma ctDNA was available from 15 of those patients. All tissues were obtained pre-treatment from patients with an IPMN diagnosis and subjected to Qiagen custom next generation sequencing panel.

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• Germline genome-wide association studies in women receiving neoadjuvant chemotherapy with or without bevacizumab on NSABP B-40

  Neoadjuvant chemotherapy (NAC) for breast cancer is widely employed. We performed genome-wide association studies (GWAS) to determine if germline genetic variability was associated with benefits, in terms of pathological complete response (pCR), disease-free survival (DFS), and overall survival (OS), in patients entered on the NSABP B-40 NAC (National Surgical Adjuvant Breast and Bowel Project, B-40, Neoadjuvant Chemotherapy) trial where some patients were randomized to receive bevacizumab, in addition to chemotherapy.

  Study phs001365

• Therapeutic Genetics and Disease Modeling in LAMA2-CMD

  Merosin-deficient congenital muscular dystrophy (MDC1A) is an autosomal recessive disorder caused by mutations in the LAMA2 gene, resulting in a defective form of the extracellular matrix protein laminin-α2 (LAMA2). Individuals diagnosed with MDC1A exhibit progressive muscle wasting and declining neuromuscular functions. No treatments for this disorder are currently available. This study involves transcriptomic comparison analysis between MDC1A patient fibroblasts and healthy control fibroblasts to reveal changes in gene expression that contribute to LAMA2 congenital muscular dystrophy (LAMA2-CMD).

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• High-Throughput and High-Dimensional Single Cell Analysis of Antigen-Specific CD8+ T Cells

  We developed a high-dimensional, tetramer associated T cell receptor sequencing (TetTCR-SeqHD) method to simultaneously profile cognate antigen specificities, TCR sequences, targeted gene-expression, and surface protein expression. Cultured antigen-specific CD8+ T cell clones were studied as a proof-of-concept experiment. In addition, both the antigen specific CD8+ T cells from healthy subjects and Type I diabetic patients were investigated. 18 individually consented subjects pooled into four groups for sample processing

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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.

  Study phs001711

• Characterization of the Gut-Associated Microbiome in Inflammatory Pouch Complications Following Ileal Pouch-Anal Anastomosis

  This study involved evaluation of the tissue associated microbiome of the ileal pouch following surgery for ulcerative colitis (UC) or familial adenomatous polyposis (FAP). Individuals were recruited, with biopsies taken from the ileal pouch and the pre-pouch ileum, microbial DNA was extracted and sequenced using 454 pyrosequencing. Total bacterial community structure and abundance were evaluated to determine which changes were characteristic of inflammatory phenotypes including pouchitis (inflammation of the ileal pouch) and a Crohn's disease-like phenotype.

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• Pharmacogenomics of Rheumatoid Arthritis Therapy

  Rheumatoid arthritis (RA) is the most common autoimmune inflammatory arthritis worldwide and affects 1.3 million adults in the USA. It has previously been studied using phenotype algorithms to identify electronic health records (EHR) case cohorts. Early genetic studies of EHR-linked cohorts of RA patients have been replicated in known associations. Further development of collections of EHR-linked cohorts for RA and other phenotypes may enable not only enhanced understanding of disease risks but also the investigation of outcomes and treatment responses.

  Study phs000983

• C9ORF72 Hexanucleotide Repeat Sequence Genotyping Project

  This study reports long-range and high-resolution repeat sizing of the C9orf72 repeat region for 2095 samples from the National Institute of Neurological Disorders and Stroke (NINDS) repository's ALS collection. Genomic DNA samples were analyzed with a PCR assay (AmplideX® PCR/CE C9orf72 Kit) and resolved on capillary electrophoresis. Expanded samples were also analyzed using a gene-specific assay and resolved by capillary electrophoresis (up to 145 GGGGCC hexanucleotide repeats) and AGE agarose gel electrophoresis (up to 950 hexanucleotide repeats, respectively).

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• Single-Sperm Genome Sequencing of Sperm Donors

  This study performed single-cell DNA sequencing of sperm from 20 presumably fertile sperm donors from a sperm bank. In aggregate, these single-cell sequences yield the genomes of the sperm donors. Original analyses consisted of inferring recombination and aneuploidy from the single-cell sequences. The raw data may be useful for re-processing, investigation of other meiotic phenotypes, and other investigations that would benefit from DNA sequence data deriving from sperm cells. Data can be aggregated by molecular identifier, cellular identifier, or sperm donor.

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