3613 results for "*geneti*"

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• The Cancer Dependency Map (DepMap)

  The Cancer Dependency Map (DepMap) aims to accelerate precision cancer medicine by creating a comprehensive map of tumor vulnerabilities. The DepMap project genomically profiles a wide range of cancer models and characterizes them for their sensitivity to genetic and compound perturbations. The data is computationally analyzed to create a systematic overview of the genetic dependencies and compound sensitivities of cancer types and the predictive biomarkers that point to patient populations most likely to benefit from targeting of these vulnerabilities. The DepMap public portal has become a comprehensive resource to identify cancer vulnerabilities by providing datasets at scale, cutting-edge computational tools, and sophisticated visualization tools that together have accelerated the discovery of novel targets and biomarkers. Please visit Depmap.org to access the public portal.

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• KDM6A Loss Triggers an Epigenetic Switch that Disrupts Urothelial Identity and Drives Cell Proliferation in Bladder Cancer

  Disruption of KDM6A, a histone lysine demethylase, is one of the most common somatic alternations in bladder cancer. How mutations of this chromatin modifier impact the epigenetic landscape to promote carcinogenesis is poorly understood. Here, we demonstrate that KDM6A loss triggers an epigenomic switch that disrupts urothelial identity and induces a neoplastic state characterized by increased cell proliferation. In bladder cancer cells with intact KDM6A, FOXA1 binds KDM6A at enhancers to activate genes instructing urothelial differentiation. In KDM6A-deficient cells, we observed simultaneous loss of FOXA1 target binding and genome-wide redistribution of the bZIP transcription factor ATF3, which in turn represses FOXA1 target genes and activates cell-cycle progression genes. Importantly, ATF3 depletion reverses the cell proliferation phenotype. These data establish that KDM6A loss creates an epigenetic state that drives tumor growth in an ATF3-dependent manner, forging a molecular vulnerability that can be targeted by novel therapeutic strategies.

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• Inherited Genetic Susceptibility in Langerhans Cell Histiocytosis

  We recruited cases of Langerhans cell histiocytosis (LCH) who were recruited to the Children's Oncology Group Childhood Cancer Research Network, Project:EveryChild projects, or to a local patient biobank to conduct an expanded genome-wide association study for risk variants and to perform post-GWAS analysis of a previous hit in the SMAD6 gene. Publicly available control data were used for our analyses; however, here we provide the SNP array data and targeted SMAD6 sequence data for the LCH cases and some non-LCH cases included in the analysis.

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• MP2PRT: Evaluation of an Inflammation Polygenic Risk Score (iPRS) to Predict Cancer Related Cognitive Impairment and Fatigue in Patients Receiving Chemotherapy for Non-Metastatic Breast Cancer in URCC0701 and URCC10055

  This study is a secondary analysis of cancer related cognitive impairment (CRCI) and cancer related fatigue (CRF) among participants in URCC0701 and URCC10055 from the University of Rochester NCI Community Oncology Research Program (NCORP) Research Base. CRCI and CRF are common, troublesome, and dose-limiting toxicities reported by patients undergoing breast cancer chemotherapy that have an etiologic basis linked to low-grade systemic inflammation. Chronic, low-grade systemic inflammation is, in part, genetically determined with common single nucleotide polymorphisms (SNPs) capturing variation across individuals. This study aimed to 1) determine whether an inflammation polygenic risk score (iPRS) is associated with CRCI or CRF, 2) determine whether the relationship between the iPRS and CRCI or CRF is modified by exercise at the time of cancer treatment, 3) identify SNPs associated with serum cytokines measured at the time of cancer treatment, and 4) identify novel CRCI- and CRF-associated risk SNPs via genome-wide association analyses. We found that there was a significant inverse correlation between the iPRS and change in fatigue score from pre-chemotherapy to post-chemotherapy while there was no statistically significant association between the iPRS and cognitive impairment score. The inverse relationship between the iPRS and fatigue may be explained in part by the finding that the iPRS was also significantly associated with greater pre-chemotherapy fatigue, suggesting that women with a genetic predisposition to low-grade systemic inflammation (i.e., high iPRS) have more fatigue at the time of breast cancer diagnosis and, therefore, are less likely to worsen over the course of treatment. In contrast, women with a low iPRS had significantly less fatigue pre-chemotherapy and a significant worsening of fatigue from pre- to post-chemotherapy. The relationship between the iPRS and fatigue remained after adjustment for patient and cancer treatment covariates and was most pronounced in women who reported regularly exercising for at least 6 months prior to starting their cancer treatment. Exploratory genome-wide analysis identified a novel risk locus on chromosome chr6q27, tagged by rs9365961, associated with CRCI. This locus is upstream of TBXT, which encodes an embryonic nuclear transcription factor previously associated with susceptibility to neural tube defects. The genome-wide SNP data, patient-reported CRCI and CRF outcome measures, and covariate data used in this analysis are available through dbGaP.

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• Single Cell DNA Methylation Analysis for Forensic Epigenetics

  As part of the Epigenetic CHaracterization and Observation (ECHO) program, the Genomic Analysis Laboratory at the Salk Institute generated the DNA methylation profiles of certain PBMC cell types to determine the change in methylation levels before, during or after exposure to certain biological or chemical agents. Samples from individuals who either handled anthrax in controlled environments or who tested positive to MRSA, MSSA, HIV, COVID-19 or exposed to Flu virus or organophosphates, or control samples were used in single-nucleus methylation (snmC-seq) assays to quantify DNA methylation levels of cytosine residues of the DNA. Around 5-10% cytosine sites were sampled in the assay. Using computational analyses, regions in the genome differentially methylated in response to the exposure were identified. This information can be used to develop diagnostic tools to predict the type of infection or time since exposure.

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• Childhood Cancer Data Initiative (CCDI): A Cohort of Hispanic Children with Acute Lymphoblastic Leukemia; Bloom Syndrome in a Mexican American Family with Rhabdomyosarcoma

  Retrospective case-control genetic study of Hispanic children with acute lymphoblastic leukemia (ALL) treated 1994-2013, comparing 14 treatment-related pancreatitis (TRP) cases to 46 treatment-matched controls without pancreatitis. Targeted sequencing of 23 genes (pancreatitis-related and asparagine-metabolism genes) was performed from post-remission blood DNA; select HLA types were inferred from whole-exome data in cases. CFTR and ASNS variants were enriched in TRP (notably CFTR V470M, OR 4.27, p=0.025).

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• Genetics of Growth Rates in Induced Pluripotent Stem Cells

  We quantified induced Pluripotent Stem Cells (iPSC) growth using a time-lapse imaging-based growth Area-Under-the-Curve (gAUC) metric and examined its relationship with gene expression and genetic variation across cell lines. Our study utilized measurements derived from cellular imaging, SNP genotyping, bulk RNA sequencing (RNA-Seq), and both genome and exome sequencing. Our differential expression analysis identified thousands of differentially-expressed genes associated with iPSC growth rate and identified WDR54, TMEM250, and C2orf81 as having putatively damaging missense variants associated with reduced growth rate. We are providing individual-level SNP genotype, RNA-Seq, and whole genome sequencing (WGS) data for iPSC cell lines generated from 335 subjects of the iPSCORE, GENESiPS, and HipSci consortia.

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• Exploration of the Biologic Basis for Underperformance of Oral Polio and Rotavirus Vaccines in Bangladesh

  Oral polio and rotavirus vaccines are significantly less effective in children living in the developing world. Environmental enteropathy, which is associated with intestinal inflammation, decreased absorption and increased permeability, may contribute substantially to oral vaccine failure in developing country settings. The primary objective of the study was to determine the association of environmental enteropathy with the efficacy of oral polio and rotavirus vaccines in children in Bangladesh. Secondary and exploratory objectives were designed to address other possible causes of oral vaccine underperformance including malnutrition, interference with maternal or breastmilk antibodies, changes in gut microbiota, and genetic susceptibility. The PROVIDE (Performance of Rotavirus and Oral Polio Vaccines in Developing Countries) study was structured as a 2x2 clinical trial with a prospective birth cohort enrollment of 700 infants and their mothers in the urban slum of Mirpur, Dhaka, Bangladesh. All children received the full series of Bangladesh's Expanded Program on Immunization vaccines, including oral polio vaccine (OPV) and followed for their first 2 years of life. Half the children were randomized to receive an inactivated polio vaccine (IPV) for their 4th dose at 39 weeks instead of the standard OPV dose. In the other trial, half the infants received the 2-dose rotavirus vaccine (Rotarix) with delayed dosing at 10 and 17 weeks of age. A detailed description of the study design and procedures can be obtained from PROVIDE methods publication: Kirkpatrick B.D., Colgate R.E., Mychaleckyj J.C., Haque R., Dorothy D.M., Carmolli M.P., et al., 2015, PMID: 25711607 The Poliovirus trial and results are described in Mychaleckyj et al, 2016, PMID: 26643930 The Rotavirus trial and results are described in Colgate et al., 2016, PMID: 27217217 The PROVIDE infants were genotyped on a custom Affymetrix Axiom array (30K SNPs) at the University of Virginia Center for Public Health Genomics; and on a pre-production version of the Illumina MEGA v2 chip at the Wellcome Trust Sanger Institute, UK. The latter genotyping was performed under the auspices of the VaccGene Consortium. Molecular data on a sub-set of subjects (22) was funded by R21 AI103536 (to C.G.). Analyses are ongoing to identify variants associated with the included phenotypes. The genotyping methods and analysis are described in PMID: 29514873.

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• Childhood Cancer Data Initiative (CCDI): Metastatic Osteosarcoma snMultiome Profiling

  Metastatic osteosarcoma is an aggressive bone malignancy affecting pediatric, adolescent, and young adults. While recent research has increasingly focused on understanding the complex biology of the osteosarcoma microenvironment, the tumor vasculature is understudied, especially in the context of metastatic disease. To address this, we performed single-nuclei multi-ome (RNA+ATAC) sequencing on a cohort of 24 human metastatic osteosarcoma specimens. Our data shows that endothelial cells universally exhibit a hybrid endothelial–mesenchymal state consistent with endothelial-to-mesenchymal transition (EndMT). Additionally, we uncovered that a subset of diploid endothelial cells adopts an osteoblastic cell fate as evidenced by gene expression and gene regulatory network (GRN) analysis. Joint copy-number analysis of our dataset identified a subset of osteosarcoma cells with endothelial transcriptional programs and GRNs, indicative of vascular mimicry. In vitro assays and in vivo lineage tracing experiments using syngeneic murine models validated both vascular mimicry and endothelial to-osteoblastic transdifferentiation. Collectively, these findings highlight the remarkable plasticity and lineage infidelity of both endothelial and osteosarcoma cells in patient specimens and a metastatic syngeneic murine model, provide novel insights into the functional role of endothelial cells in the metastatic osteosarcoma microenvironment, and challenge current understanding of osteosarcoma biology.

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• OurHealth - Cardiovascular Disease in South Asians

  The OurHealth Study aims to build a biobank comprising South Asian samples from participants residing in the United States. Primary objectives are to (1) identify genetic and non-genetic drivers of cardiometabolic disease in South Asians, (2) engage participants and researchers in scientific advances and research opportunities to accelerate discovery, and (3) assess the impact of returning polygenic risk scores for cardiovascular-related health conditions. Participants use a web-based platform to complete electronic informed consent, and contribute data via (1) online health surveys, (2) mailed saliva biospecimens for sequencing, and (3) optional electronic health record sharing. Surveys capture medical history, medication data, lifestyle factors, family history, mental health history, and detailed information about cultural and ancestral background. Biospecimens, procured via saliva self-collection kits, undergo DNA isolation and are sequenced using the "blended genome exome" (BGE) method, which consists of sequencing on the NovaSeqX 10B Flowcell followed by Dynamic Read Analysis for GENomics (DRAGEN) analysis for alignment to GRCh38, mapping, and variant calling. BGE uses low-coverage whole genome sequencing (lcWGS) (2-3x) combined with deep-coverage exome sequencing (30-40x), improving on SNP arrays for common variant imputation across European and non-European populations while also capturing rare coding variants. Relative to array genotyping, coverage, genotyping breadth, imputation generalizability, and cost are more optimal.BGE requires imputation for which the 1000G + HGDP reference panel was used, and GLIMPSE2 was used for imputation emitting genotyping dosages (i.e., 0-2 multimodal continuous). Quality control (QC) included the following procedures. Sample QC excluded those with mean coverage 3% contamination from FREEMIX/VerifyBamID, sex aneuploidy and genotype/phenotype sex-mismatch due to potential phenotyping errors, fingerprinting discordance, and sample metric-level outliers were ancestry-aware, given expected distribution differences. Variant QC metrics including allele frequencies, imputation INFO scores, and Hardy-Weinberg Equilibrium (HWE) p-values are provided with the data; the genotype files provided are not filtered.For more information about the OurHealth study, navigate to the OurHealth study website. For more information about the OurHealth dataset, including working with OurHealth data in AnVIL, navigate to the PRIMED Consortium OurHealth webpage.

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