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• Germline Genome Sequencing from Patients with Early-Onset Merkel Cell Carcinoma

  Merkel cell carcinoma (MCC) is a rare neuroendocrine skin cancer associated with advanced age. Approximately 5% of cases are early-onset MCC, occurring in individuals younger than 50 years. This study used genome sequencing to identify germline risk factors among patients with early-onset MCC. The available data in the database of Genotypes and Phenotypes (dbGaP) includes genome sequencing of peripheral blood mononuclear cell (PBMC) DNA from 37 patients with early-onset MCC (age ATM = 2, BRCA1 = 2, BRCA2 = 1, TP53 = 1, and MAGT1 = 1).

  Study phs003485

• NHLBI TOPMed: Severe Asthma Research Program (SARP)

  The overall goal of the Severe Asthma Research Program (SARP) is to identify and characterize subjects with severe asthma to understand pathophysiologic mechanisms in severe asthma. Subjects with mild and moderate asthma were recruited for comparison but the program was enriched for subjects with severe asthma from multiple centers. Subjects were comprehensively phenotyped for asthma related traits including lung function, atopy, questionnaires on medical and family history, exhaled nitric oxide and health care utilization including exacerbations and symptoms. Asthma is a heterogenous disease. Cluster analysis in SARP has shown multiple subphenotypes and endotypes.

  Study phs001446

• The Study of Somatic LINE1 Activity in Cancers

  This study focuses exclusively on the quantification of LINE1 mobilization. We analyzed a recent whole genome sequencing data release from multiple Cancer Genome Atlas (TCGA) sub-projects. In addition to the somatic LINE1 insertions (present in tumor and having no support in the matched normal) there are "pseudo-germline" non-reference LINE1 elements identified in tumor tissue and having some support in the matched normal. This dataset reports such "pseudo-germline" LINE1 retrotranspositions. Individual level data for TCGA can be accessed by requesting access to phs000178.

  Study phs003888

• Impact of Genomic Variation on Function (IGVF) Consortium

  The IGVF (Impact of Genomic Variation on Function) Consortium aims to understand how genomic variation affects genome function, which in turn impacts phenotype. The NHGRI is funding this collaborative program that brings together teams of investigators who will use state-of-the-art experimental and computational approaches to model, predict, characterize and map genome function, how genome function shapes phenotype, and how these processes are affected by genomic variation. These joint efforts will produce a catalog of the impact of genomic variants on genome function and phenotypes.

  Study phs003472

• An investigation into the effects of progestin on follicular development and oocyte maturation during controlled ovarian stimulation using the Progestin-Primed Ovarian Stimulation (PPOS).

  In recent years, the Progestin-Primed Ovarian Stimulation (PPOS) method, utilizing progestin as ovulation suppressants, has gained traction as a controlled ovarian stimulation (COS) strategy in assisted reproductive technology (ART). However, the impact of progestin agents on follicular fluid, granulosa cells, and cumulus cells at the levels of gene and protein expression has not been fully assessed. This study aims to evaluate the effects of progestin agents, used in the PPOS method, on follicular development and oocyte maturation.

  Study JGAS000770

• Spatial Transcriptomic Analysis (Xenium in situ) of Large Cell Neuroendocrine Carcinoma

  Lung LCNEC (Large Cell Neuroendocrine Carcinoma) has a poor prognosis, and no effective treatment has yet been established. We have discovered that LCNEC exhibits highly heterogeneous distribution of proteins such as neuroendocrine markers and YAP1 within the tumor. We hypothesize that this heterogeneity may be responsible for the variability in chemotherapy effectiveness and treatment resistance among LCNEC patients. Therefore, by using Xenium to analyze gene expression in greater detail along with tumor morphology, we aim to identify new characteristics of LCNEC and explore potential treatment strategies.

  Study JGAS000733

• NHLBI TOPMed: African American Sarcoidosis Genetics Resource

  This study aims to comprehensively interrogate the genomes of African American sarcoidosis families. Sarcoidosis is characterized by a hyperimmune response resulting in granuloma formation in multiple organs. It affects African Americans (AAs) more frequently and more severely than whites. While previous linkage, admixture, candidate gene and genome-wide association (GWA) studies show statistically compelling effects, causal variants are still unknown and much of sarcoidosis heritability is yet to be explained. This "missing" heritability likely includes effects of both common (minor allele frequency (MAF)>5%) and rare variants (MAF

  Study phs001207

• Searching for rare/low frequency variants in rheumatoid arthritis by exome sequencing

  Rheumatoid arthritis (RA) is a multifactorial and systemic autoimmune disease and characterized by synovial inflammation and hyperplasia, autoantibody production, cartilage and bone destruction and systemic features including cardiovascular, pulmonary, psychological and skeletal disorders. Although the causality of RA is not completely understood, genetic factors contribute to the onset. About 60% of the RA risk is genetic. To identify causative- or susceptible- rare/low-frequency variants in RA, exome sequencing of 39 patients with RA was conducted. We also conducted genotyping of pooled healthy men and women exome-sequencing data.

  Study JGAS000035

• PanCancer genome analysis in 5143 Japanese cancer patients

  This study aimed to establish the Japanese Cancer Genome Atlas (JCGA) using data from fresh frozen tumor tissues obtained from 5143 Japanese cancer patients, including those with colorectal cancer (31.6%), lung cancer (16.5%), gastric cancer (10.8%) and other cancers (41.1%). The results are part of a single-center study called ���High-tech Omics-based Patient Evaluation��� or ���Project HOPE��� conducted at the Shizuoka Cancer Center, Japan. All DNA samples and most RNA samples were analyzed using whole-exome sequencing, cancer gene panel sequencing, fusion gene panel sequencing and microarray gene expression profiling.

  Study JGAS000274

• Discovering novel mechanisms of taxane resistance in human breast cancer by whole-exome sequencing

  Taxanes are key drugs in the treatment of breast cancer, but some breast cancers are resistant to taxanes. Obtaining extensive genomic information in a short time has recently become possible. We used whole exome-sequencing (WES) to investigate mechanisms of taxane resistance in human breast cancer. We selected six patients with breast cancer whose tumors responded well to anthracycline treatment but grew rapidly during neoadjuvant taxane-based chemotherapy. We then performed WES of these samples and identified somatic mutations of candidate genes that are thought to affect taxane resistance.

  Study JGAS000370