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• Capturing the Genetic Diversity of the Himba Population

  The Himba people are a semi-nomadic, Bantu-speaking pastoralist group from the northwestern Kunene region of Namibia. Because of their limited population size, restricted geographic distribution, and endogamy, founder populations represent an ideal system for genetic analyses due to reduction of the confounding environmental and cultural variables. The original study used genotype data and demographic interview data to understand family dynamics and ancestry in a population of Himba pastoralists. HLA allele calls and genome-wide methylation array data were later generated for a subset of the initial dataset for 2 additional studies. These 3 molecular datasets, available through dbGaP, are relevant to broader studies of ancestry, allele frequencies and the relationship of Himba to other ethnic groups in sub-Saharan Africa. The Himba population provides a unique opportunity to study questions regarding extra-pair paternity and mate selection because Himba culture allows both men and women, married and not, to take multiple partners. Previous estimates of extra-pair paternity rates in human populations have been very low, but these estimates lack global and cultural diversity in population representation. Thus, investigating the rate of extra-pair paternity in the Himba greatly aids in understanding the global variation in non-paternity rates among human populations. Saliva samples were collected from parents and children, and were genotyped on Illumina SNP array platforms (MEGAex and H3Africa). In total, 678 individuals' genotype array data are deposited. Paternity results were de-identified and protected by a double blind protocol (no researcher has full knowledge of individual paternity results). Due to the sensitive nature of this study, paternity assertions are not available for access. For a subset of 360 individuals, HLA class 1 (A, B, C) and class 2 (DPA1, DPB1, DQA1, DQB1, DRB1) genes were targeted for DNA sequencing using a probe-based capture method. HLA alleles at the four field resolution were determined from the sequence capture using the consensus calls obtained from two algorithms: NGSengine® 2.10.0 (GenDX, Utrecht, the Netherlands) and HLA Explore™ (Omixon Biocomputing Ltd. Budapest, Hungary). These data were used to investigate evidence for mate selection based on HLA dissimilarity in the Himba. Himba cultural norms permit concurrent arranged marriages and chosen sexual partnerships allowing us to directly test for evidence of disassortative mate selection based on HLA genotype. Due to the sensitive nature of this study, partnership data are not available for access.For a subset of 51 Himba individuals methylation array data was generated from the saliva-derived DNA. These data were generated in order to investigate the accuracy of epigenetic age predictors in this population and to construct population-specific epigenetic age predictors in a subsequent publication. Chronological ages are available for these 51 individuals.

  Study phs001995

• Prediction of Resistance and Sensitivity to HER2 Targeted Therapy in the Neoadjuvant Setting

  Women with breast cancers that overexpress HER2 are at greater risk for disease progression and death than women whose tumors do not overexpress HER2. Trastuzumab, a recombinant humanized monoclonal antibody against the extracellular domain of the HER2 protein blocks downstream signaling of HER2 and substantially improves the efficacy of chemotherapy in women with metastatic and early-stage HER2-positive breast cancers. Because resistance to trastuzumab eventually results in progressive disease in the metastatic setting and contributes to recurrence following adjuvant trastuzumab-based therapy, it is important to develop agents other than trastuzumab that target HER2 signaling through different mechanisms of action. Lapatinib is an oral, small molecule, dual tyrosine kinase inhibitor of HER2 and EGFR. Lapatinib has shown a lack of cross-resistance with trastuzumab in preclinical studies and activity in women with HER2-positive, metastatic breast cancer that has progressed during trastuzumab treatment. Trastuzumab blocks the downstream signaling of HER2 by binding to the extracellular domain of the receptor. Lapatinib binds to the intracellular domains of HER2 and EGFR and prevents activation of downstream signaling pathways. Because of this different mechanism of action, lapatinib may be effective in trastuzumab-resistant disease. The study will also provide important safety information on trastuzumab and lapatinib combinations immediately following anthracycline exposure, and also provide an initial direct comparison of cardiac effects of trastuzumab and lapatinib when incorporated into a standard sequential adriamycin and cyclophosphamide (AC) followed by weekly paclitaxel neoadjuvant regimen. Availability of a second agent that can interrupt HER2-signaling pathways through completely different mechanisms than those of trastuzumab offers the potential for further improvement in the management of patients with HER2-overexpressing breast cancer in both the adjuvant and metastatic setting. Co-administration of both trastuzumab and lapatinib with chemotherapy may be important in improving outcomes in subsets of HER2-positive breast cancers. However, use of two inhibitors of the HER2 pathway will increase costs and may increase toxicity, so it will be important to identify the subsets of patients who would benefit from the dual therapy. Inhibition of HER2 with a single agent clearly is sufficient for many patients as evidenced by the results of the trastuzumab trials. Therefore, co-administration to unselected populations of women with HER2-positive breast cancers would not represent an optimal approach. Given the activity of lapatinib, it is likely that it will also be sufficiently active in inhibiting HER2-pathway activation in some patients to allow for its use as the sole inhibitor of the HER2 pathway. Different populations may also derive greater benefit from one of the HER2-blocking agents relative to the other. Identification of potential predictive factors for pathologic complete response to the combination or to either agent administered alone in neoadjuvant trials would provide important information for adjuvant trials designed to definitively address these important issues. This study will compare 3 combined chemotherapy regimens: AC followed by paclitaxel plus trastuzumab and lapatinib, AC followed by paclitaxel plus lapatinib, and AC followed by paclitaxel plus trastuzumab given before surgery to patients with HER2-positive breast cancer.Tumor samples were collected prior to and post-treatment, and RNA sequencing was performed with this version.

  Study phs003275

• Whole exome sequencing to discover genetic variation associated with aortopathy in Turner Syndrome

  Turner syndrome is a disorder affecting only girls and women, which is caused by a complete or partial loss of the second sex chromosome. Girls and women with Turner syndrome have a variety of phenotypes. Of interest to this study is aortopathy, including bicuspid aortic valve (BAV) and thoracic aortic dilation (TAD) in which we know that 25 - 50% of girls with Turner syndrome are born with. The aorta is the main artery that conducts the blood out of the heart. The aortic valve guards the entrance to the aorta. When the aortic valve has two leaflets instead of the usual three it is called a BAV. BAV is more common than all other congenital heart defects combined. BAV commonly causes obstructions to blood flow out of the heart or become leaky over time. BAV often occurs in combination with TAD. In Turner syndrome, TADs are increased 50-100 fold compared to the general population. Currently, there are no effective approaches or pre-surgical treatments for aortic disease. Therefore, progression of aortic disease in individuals with BAV/TAD can result in catastrophic aortic dissection, rupture, and death. Our goal is to leverage DNA sequencing and carefully curated patient samples to gain a better understanding of the molecular mechanisms that cause these inter-related aortic diseases.

  Study phs001531

• Genomics to select patients with metastatic breast cancer for targeted therapy (microarray_cytoscan)

  Cancer progression is driven in part by genomic alterations located in oncogenes or tumor suppressor genes. The genomic characterization of cancers has shown a large interpatient heterogeneity regarding the driver alterations, leading to the concept that generating a genomic profiling by multigene sequencing in patients with cancer could allow selecting effective targeted therapies. While this concept has been broadly implemented in daily practice, there is no evidence that such approach improves patient outcome, and how to optimally select the therapy to administer. A genomic profiling using next generation sequencing and copy number analyses was performed 1462 patients with Her2-non overexpressing metastatic breast cancer included in SAFIR02 Breast trial. 238 of these patients were randomized in two trials between a targeted therapy matched to genomic alteration and a maintenance chemotherapy. The trial shows that targeted therapies matched to genomics improves progression free survival (PFS) when genomic alterations are classified level I/II according to ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) (adjusted HR: 0.41, 90% CI: 0.27-0.61, p<0.001), but not when alterations are classified beyond level II (unadjusted HR: 1.15, 95% CI: 0.76-1.75). This trial provides evidence that the treatment decision led by genomics should be driven by a framework of target actionability in patients with mBC.

  Study EGAS00001005584

• Genomics to select patients with metastatic breast cancer for targeted therapy (microarray_oncoscan)

  Cancer progression is driven in part by genomic alterations located in oncogenes or tumor suppressor genes. The genomic characterization of cancers has shown a large interpatient heterogeneity regarding the driver alterations, leading to the concept that generating a genomic profiling by multigene sequencing in patients with cancer could allow selecting effective targeted therapies. While this concept has been broadly implemented in daily practice, there is no evidence that such approach improves patient outcome, and how to optimally select the therapy to administer. A genomic profiling using next generation sequencing and copy number analyses was performed 1462 patients with Her2-non overexpressing metastatic breast cancer included in SAFIR02 Breast trial. 238 of these patients were randomized in two trials between a targeted therapy matched to genomic alteration and a maintenance chemotherapy. The trial shows that targeted therapies matched to genomics improves progression free survival (PFS) when genomic alterations are classified level I/II according to ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) (adjusted HR: 0.41, 90% CI: 0.27-0.61, p<0.001), but not when alterations are classified beyond level II (unadjusted HR: 1.15, 95% CI: 0.76-1.75). This trial provides evidence that the treatment decision led by genomics should be driven by a framework of target actionability in patients with mBC.

  Study EGAS00001005586

• Genomics to select patients with metastatic breast cancer for targeted therapy (microarray_agilent)

  Cancer progression is driven in part by genomic alterations located in oncogenes or tumor suppressor genes. The genomic characterization of cancers has shown a large interpatient heterogeneity regarding the driver alterations, leading to the concept that generating a genomic profiling by multigene sequencing in patients with cancer could allow selecting effective targeted therapies. While this concept has been broadly implemented in daily practice, there is no evidence that such approach improves patient outcome, and how to optimally select the therapy to administer. A genomic profiling using next generation sequencing and copy number analyses was performed 1462 patients with Her2-non overexpressing metastatic breast cancer included in SAFIR02 Breast trial. 238 of these patients were randomized in two trials between a targeted therapy matched to genomic alteration and a maintenance chemotherapy. The trial shows that targeted therapies matched to genomics improves progression free survival (PFS) when genomic alterations are classified level I/II according to ESMO Scale for Clinical Actionability of Molecular Targets (ESCAT) (adjusted HR: 0.41, 90% CI: 0.27-0.61, p<0.001), but not when alterations are classified beyond level II (unadjusted HR: 1.15, 95% CI: 0.76-1.75). This trial provides evidence that the treatment decision led by genomics should be driven by a framework of target actionability in patients with mBC.

  Study EGAS00001005587

• The Incidence of Thromboembolic Events in Patients with Antibodies to Heparin-PF4 after Cardiac Bypass

  The purpose of this study is to determine how often heart surgery patients who receive heparin develop an immune response (heparin-induced thrombocytopenia) that leads to clots forming in different parts of the body. These clots usually occur in the legs (deep venous thrombosis or DVT) or lungs (pulmonary embolism or PE) or cause heart attacks (myocardial infarction or MI) and strokes.

  Study phs000606

• DDX50 Cooperates With STAU1 to Effect Stabilization of Pro-Differentiation RNAs

  This study was undertaken to determine the role of DDX50 in epidermal homeostasis. Primary neonatal foreskin keratinocytes were obtained from discarded surgical samples at a California hospital. Samples were anonymous and not selected. DDX50, which was associated with STAU1, was found to promote epidermal differentiation and transcript stability using the methods of RNA-seq, CLIP-seq and DMS-MaP-seq.

  Study phs003766

• Genetic and Epigenetic Screens in Primary Human T Cells Link Candidate Causal Autoimmune Variants to T Cell Networks

  We aimed to define the target genes and pathways in which autoimmune disease-associated genetic variants operate. We performed single cell-CRISPR-interference screens in primary human T cells and bulk RNA-seq on T cells containing CRISPRi and single gRNAs to assess how T cell regulatory regions containing autoimmune-associated genetic variants affect nearby gene expression and cellular programs.

  Study phs004072

• Single-cell multi-omics reveals clonal evolution and T-cell dynamics underlying differential responses to ibrutinib in Waldenström macroglobulinemia.

  To elucidate the molecular basis underlying differential response and resistance to ibrutinib in Waldenström’s macroglobulinemia (WM), we conducted a prospective phase II trial (NCT02604511) of ibrutinib monotherapy in treatment-naïve patients. Seventy-four sequential bone marrow (BM) aspirates from 17 patients, collected from baseline through 48 treatment cycles, were profiled using single-cell RNA and V(D)J sequencing.

  Study EGAS50000001596

• Inherited genetic predisposition to childhood acute lymphoblastic leukemia investigated using a genome wide association study.

  This series consists of summary data generated from a genome-wide association study (GWAS) investigating inherited genetic risk to childhood acute lymphoblastic leukemia (ALL). The GWAS comprised 784 cases recruited to the Medical Research Council UK ALL-2003 and ALL-97/99 trials and 7,385 controls. The data describe SNPtest association statistics from the case-control analysis.

  Study EGAS00001002809

• Tumor-resident T-cell regulate responses to checkpoint blockade immunotherapies

  In cancer models, CD103+CD8 TRM cells are implicated in the response to anti-PD-1 immunotherapy, and a subset of CD4 TRM cells expressing the integrin CD49a is required for response to anti-CTLA-4 immunotherapy. We performed single-cell RNA sequencing on tumour-infiltrating T lymphocytes (TILs) isolated from colon carcinoma et unsupervised analyses reveal several TRM populations.

  Study EGAS50000000826

• Drug-induced epigenomic plasticity reprograms circadian rhythm regulation to drive prostate cancer towards androgen-independence (RNA-seq)

  Understanding how prostate cancer cells adapt to AR-targeted interventions is critical for identifying novel drug targets to improve the clinical management of treatment-resistant disease. Our study revealed an enzalutamide-induced epigenetic plasticity towards pro-survival signaling, and uncovered circadian regulator ARNTL as an acquired vulnerability after AR inhibition, presenting a novel clinical lead for therapeutic development.

  Study EGAS00001006016

• Drug-induced epigenomic plasticity reprograms circadian rhythm regulation to drive prostate cancer towards androgen-independence (ChIP-seq)

  Understanding how prostate cancer cells adapt to AR-targeted interventions is critical for identifying novel drug targets to improve the clinical management of treatment-resistant disease. Our study revealed an enzalutamide-induced epigenetic plasticity towards pro-survival signaling, and uncovered circadian regulator ARNTL as an acquired vulnerability after AR inhibition, presenting a novel clinical lead for therapeutic development.

  Study EGAS00001006017

• Lipomatous tumors with 12q amplification

  The project concerns whole genome sequencing (short-read and long-read) and RNA-sequencing of lipomatous tumors with 12q-amplification. A subset of lipomatous tumors is driven by amplification of genes mapping to chromosome arm 12q, including the MDM2 gene. The goals of the study were to compare expression levels of genes mapping to 12q in tumors with amplification in rod-shaped or circularized chromosomes as well as to assess and compare the structural variants in those tumors. In total, 20 samples were analyzed, and the data were correlated with genomic data on bulk and single cell DNA from the same tumors. The fastq files from the tumors were uploaded to EGA.

  Dataset EGAD50000000087

• Mapping regulatory variation in sensory neurons using IPS lines from the HIPSCI project

  Sensory neurons are nerve cells that are activated by sensory input such as heat, light and convey information to the brain. Although a key cell type in complex organisms, human sensory neurons are challenging to study because they are impossible to obtain from living donors. We have collaborated with the Neucentis Pharmaceutical Research Unit to differentiate sensory neuron like cells from human induced pluripotent stem cells derived as part of the Human Induced Pluripotent Stem Cells Initiative. We will sequence RNA from 100 IPS lines derived from healthy individuals and perform RNA-seq on the differentiated cells to identify noncoding variants that alter gene expression in human sensory neurons.

  Dataset EGAD00001003145

• Melanoma-Til Study RNAseq

  In this study, mutations present in a series of human melanomas (stage IV disease) will be determined, using autologous blood cells to obtain a reference genome. From each of the samples that are analyzed, tumour-infiltrating T lymphocytes have also been isolated. This offers a unique opportunity to determine which (fraction of) mutations in human cancer leads to epitopes that are recognized by T cells. The resulting information is likely to be of value to understand how T cell activating drugs exert their action.

  Dataset EGAD00001000325

• Massive parallel RNA sequencing of highly purified mesenchymal cells derived from bone marrow specimens of 4 Shwachman-Diamond syndrome cases

  Highly purified mesenchymal cells (CD45-/7AAD-/CD235a-/CD31-/CD271+/CD105+) were prospectively FACS-isolated from bone marrow specimens of 4 Shwachman-Diamond syndrome (SDS) cases. This data set, comprising 4 SDS cases, is used as complement to 45 low-risk myelodysplastic syndrome (LRMDS) and 3 Diamond-Blackfan anemia (DBA) cases to demonstrate aberrant inflammatory signaling as a common mechanism in pre-leukemia syndromes to induce genotoxic stress in hematopoietic stem cells. In addition this data set is used to determine different overlapping gene expression signatures in pre-leukemia syndromes compared to gene expression profiles of highly purified mesenchymal cells of healthy donors.

  Dataset EGAD00001002660

• Massive parallel RNA sequencing of highly purified mesenchymal cells derived from bone marrow specimens of 3 Diamond-Blackfan anemia cases

  Highly purified mesenchymal cells (CD45-/7AAD-/CD235a-/CD31-/CD271+/CD105+) were prospectively FACS-isolated from bone marrow specimens of 3 Diamond-Blackfan anemia (DBA) cases. This data set, comprising 3 DBA cases, is used as complement to 45 low-risk myelodysplastic syndrome (LRMDS) and 4 Shwachman-Diamond syndrome (SDS) cases to demonstrate aberrant inflammatory signaling as a common mechanism in pre-leukemia syndromes to induce genotoxic stress in hematopoietic stem cells. In addition, this data set is used to determine different overlapping gene expression signatures in pre-leukemia syndromes compared to gene expression profiles of highly purified mesenchymal cells of healthy donors.

  Dataset EGAD00001002661

• To determine the genomic profile of Triple Negative Breast Cancer patient-derived xenografts (PDX cohort)

  Specific BRCA and immune configurations determine optimal response to platinum-based chemotherapy in triple negative breast and ovarian carcinomas (PDX_WGS)

  Study EGAS00001005995

• WES dataset

  Associated with Molecular biomarkers in progression from refractory celiac disease to the lethal cancer variety enteropathy associated T cell lymphoma (EATL) Study. Whole Exome Sequencing (WES) of 63 samples. WES analysis done to detect mutations and copy number aberration predictive for progression from RCD to EATL.

  Dataset EGAD50000001164

• Tetralogy of Fallot Exome Trios

  Exome sequencing of 30 parent-offspring trios to >50X mean depth, where the offspring has sporadic TOF, to identify potential causal de novo mutations. We will use the exome plus design for pulldown that incorporates ~6.8Mb of additional regulatory sequences in addition to the ~50Mb GENCODE exome.

  Dataset EGAD00001000344

• Ovarian cancer/normal cell lines

  We performed whole genome sequencing of nine OC patient-derived cell lines and one normal cell line (HOSEpiC) to analyze if the cell lines harbor OC-typical genomic aberrations absent in normal cells and to relate genomic features to drug sensitivities.

  Dataset EGAD00001003146

• RNA bam files of Renal Cell Carcinoma patients

  the dataset contains RNA bam files of Renal Cell Carcinoma patients, which belongs to "An Empirical Approach Leveraging Tumorgrafts to Dissect the Tumor Microenvironment in Renal Cell Carcinoma Identifies Missing Link to Prognostic Inflammatory Factors"

  Dataset EGAD00001003895

• Whole Genome Sequencing of 18 sequential samples from 3 CLL patients

  Whole Genome Sequencing to track subclonal heterogeneity in 18 samples from 3 Chronic Lymphocytic Leukemia patients subjected to repeated cycles of therapy. NOTE: There are only 12 BAM files available to download. The other 6 files are missing.

  Dataset EGAD00001000972