12315 results for ""statistically+reactive"+taxa+in+microbial+community"

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• johannesburg_20150706_autosomes

  Genotype data and (in binary PLINK format) and imputed data (with merged 1000Gp3 and AGVP reference panel in GEMMA BIMBAM dosage format) for 750 individuals from Respiratory and Meningeal Pathogens Unit in Soweto, South Africa - autosomes.

  Dataset EGAD00010002582

• DAC Longitudinal Multi-Omics Study Reveals Molecular Drivers and Tumor Microenvironment in Extramedullary Multiple Myeloma

  Data access requests for the raw data used in publication "Longitudinal Multi-Omics Study Reveals Molecular Drivers and Tumor Microenvironment in Extramedullary Multiple Myeloma"

  Dac EGAC50000000016

• Evaluation of the ERa binding region activity in breast and endometrial cancer

  Evaluate the activity of ERa binding site activity in breast and endometrial cancer.

  Study EGAS50000000009

• Akershus University Hospital Data Access Committee for Immunoglobulin Heavy-Chain locus in Multiple Sclerosis datasets in FEGA Norway

  This is the Data Access Committee appointed by Akershus University Hospital (AHUS) for datasets from Immunoglobulin Heavy-Chain locus in Multiple Sclerosis studies.

  Dac EGAC50000000659

• RNASeq of Calcoco2 in beta and fat cell lines

  Investigation of the function of Calcoco2 by knocking it down in beta and fat cell lines.

  Study EGAS00001006127

• CNV profile in HSP90 inhibitor resistant K562 cells

  Analysis of the acquired copy number profile in K562 cell which got resistant against HSP90 inhibitors.

  Study EGAS00001006385

• Longitudinal ctDNA in Uveal Melanoma

  Assess the efficacy of using multi-modal ctDNA analysis to detect relapse in patients with uveal melanoma

  Study EGAS00001006373

• Additional RNASeq files for Roussel MBPRP

  Additional RNASeq files for Roussel paper titled "Combination of CDK4/6 with BET-bromodomain and PI3K/mTOR inhibitors in medulloblastoma in vitro and in vivo"

  Dataset EGAD00001009394

• Type 2 Diabetes Starr County GWAS and Exome Sequencing

  The T2D Seq GWAS Starr County Cohort is utilized in the following dbGaP sub-studies. To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" section of this top-level study page phs001166 T2D Seq GWAS Starr County Cohort. phs000143 CIDR T2D Hanis phs001099 T2D GENES Starr County

  Study phs001166

• NHLBI's Collection of Datasets for General Research Use (Public Posting of Genomic Summary Results: Allowed)

  This collection contains all of NHLBI's authorized individual-level genomic datasets currently in dbGaP that are approved for General Research Use (GRU) and have no further limitations beyond those outlined in the model Data Use Certification Agreement. Genomic Summary Results (GSR) sharing is allowed (unrestricted) or not applicable. To request access to this study collection, select phs003132 in the dbGaP Authorized Access System.

  Study phs003132

• Phase IB/II Study of Bazedoxifene in Combination with Palbociclib in Patients with Endocrine Resistant Hormone Receptor-Positive Breast Cancer

  In this phase Ib/II clinical trial, the investigators evaluated the efficacy and safety of the combination of palbociclib with bazedoxifene in patients with a metastatic endocrine-resistant hormone receptor-positive, HER2-negative breast cancer. Furthermore, whole exome sequencing of cell-free tumor DNA was done on serial samples from these patients, revealing potential molecular changes associated with mechanisms of resistance.

  Study phs002802

• Advanced Genetic and Molecular Analysis of Solid Tumors

  This study is designed to understand the role of immunosuppressive regulatory B cells (Breg) in pancreatic cancer. Breg and conventional B cells (Bcon) from patients are compared by RNA sequencing analysis. Bregs and Bcon were isolated from freshly isolated PBMCs in peripheral blood. These data represent the examination of differentially expressed genes in these two blood-derived B cell subsets from both healthy and pancreatic cancer patients.

  Study phs001999

• Susceptibility to Respiratory Infections Due to Autosomal Recessive IFIH1 Mutations

  We studied a child with life-threatening and recurrent respiratory tract infections, caused by multiple viruses including rhinovirus, influenza virus, and respiratory syncytial virus (RSV). We identified in her a homozygous missense mutation in IFIH1 that encodes MDA5 by Whole Exome Sequencing. MDA5-deficiency is a novel inborn error of innate immunity that results in impaired dsRNA-sensing, reduced IFN induction, and susceptibility to the common cold virus.

  Study phs001235

• Single Cell Analysis of Healthy and Diseased Temporomandibular Joint Synovial Fluid

  Temporomandibular joint disorders (TMJDs) are a set of complex, poorly understood painful conditions that negatively affect many children and adults in the US. In this study, we establish a protocol to utilize irrigation fluid from TMJ arthrocentesis to perform single-cell RNA sequencing on cells contained in TMJ synovial fluid. Our results should help investigators better understand these conditions and identify novel therapeutic options.

  Study phs003645

• Whole genome sequencing of AML with FUS-ERG

  FUS-ERG is a chimeric gene with a poor prognosis, found in myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). We investigated whether azacitidine (Aza) are effective in AML with FUS-ERG and how FUS-ERG induces chemoresistance. In a clinical case of AML with FUS-ERG, we compared whole-genome alterations between the initial diagnosis of MDS and the recurrence of AML after Aza treatment.

  Study JGAS000587

• Transcriptomic insights into IPMN-associated PDAC progression

  This study investigates the transcriptomic heterogeneity and evolutionary progression of intraductal papillary mucinous neoplasms (IPMNs) and their associated pancreatic ductal adenocarcinomas (PDAC). Multi-region tumour sampling was performed to characterise spatial variation in gene expression and to identify transcriptional changes associated with malignant transformation. The project aims to improve understanding of tumour evolution in pancreatic cancer and to identify molecular pathways involved in IPMN-to-PDAC progression.

  Study EGAS50000001540

• Whole exome sequencing data for patients with Bosma arhinia microphthalmia syndrome (BAMS).

  The datasets includes 21 samples from 7 families with Bosma arhinia microphthalmia (BAMS). For details of the study please refer to the manuscript "De novo mutations in SMCHD1 cause Bosma arhinia microphthalmia syndrome and abrogate nasal development", Nature Genetics 2017. Each sample was exome sequenced and the family ID in sample description refers to the Individual ID in Supplementary figure 2 of the manuscript.

  Study EGAS00001002193

• Investigation of the genetic basis of the rare syndrome Post-Transfusion Purpura (PTP)

  The Post-Transfusion Pupura (PTP) syndrome although rare has severe side effects for 5-10 cases per annum in the UK as a result of transfusion. High quality DNA has been isolated from either whole blood or from cryopreserved mononuclear cells of 4 patients in order to study our postulation that the condition is caused by a loss-of-function mutation in a specific gene.

  Study EGAS00001000053

• Roma Sequencing Study

  Present day Roma genome were shaped by the extensive inbreeding and admixture during their Diaspora. Here, we shed light on the Roma demographic history by analyzing the whole genome sequence of 46 Roma individuals pertaining to four migrant groups in six European countries. The strong reduction in effective population size (~44%), that occurred around 2kya, was not masked by the subsequent high admixture in Middle Eastern and European countries.

  Study EGAS00001004287

• Molecular profile of IMFT for the identification of potential druggable targets and biomarkers predicting crizotinib response.

  The clinical phase II trial EORTC 90101 “CREATE” showed high anti-tumor activity of crizotinib, an ALK/ROS1 inhibitor, in IMFT patients. However, results suggested that other molecular targets in addition to ALK/ROS1 might also contribute to the sensitivity of this kinase inhibitor. We therefore characterized molecular profile of IMFT to identify alterations which could play a role in the response to crizotinib.

  Study EGAS00001005419

• RNAseq Iron-Treated iPSC-derived Microglia

  Iron accumulation in microglia has been observed in Alzheimer’s disease and other neurodegenerative disorders and is thought to contribute to disease progression through various mechanisms including neuroinflammation. To study the interaction between iron accumulation and inflammation, we treated human induced pluripotent stem cell-derived microglia (iPSC-MG) with an increasing concentration of iron, in combination with inflammatory stimuli such as interferon gamma and amyloid β, and performed RNA sequencing.

  Study EGAS00001006112

• Longitudinal study of whole blood gene expression in Kenyan children exposed to malaria

  We have collected RNA samples from whole blood of Kenyan children exposed to malaria in the Kilifi region of Kenya. Collections were performed each year from 2015 until 2018. This is a follow-up study to that described in Bediako et al. (in preparation). The SIMS consortium is seeking to identifying the underlying reasons why some children are more susceptible to malaria than others. In this study we hope to track changes in children’s immune systems over time which relate to the number of malaria episodes they experience. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Dataset EGAD00001015405

• Identification of rare variants associated with cardiovascular traits in Cilento isolates

  The aim of this project is to identify rare genetic variants of large effect implicated in complex diseases by focusing on the study of cardiovascular diseases and related quantitative traits in a well characterized isolated population in Cilento area, Italy. The reference panel has been selected carefully in order to maximize the imputation coverage and quality on the all population samples. The selected individuals should meet three criteria: selected individuals should be chip-genotyped and closely related to the maximum number of chip-genotyped individuals so as to maximize imputation coverage; relatedness between selected individuals should be minimal, so as to minimize redundancy in genetic information of the reference panel. We perform exome sequencing on samples from 250 individuals from the Campora and Gioi-Cardile populations.

  Dataset EGAD00001002195

• Bogalusa Heart Study (BHS-BioLINCC)

  Objectives: To investigate the early natural history of cardiovascular disease in a cohort of children and young adults in a biracial, semirural community.Background: The Bogalusa Heart Study has been a long-term epidemiologic study. The investigators have identified and followed black and white participants for nearly 40 years, and have described the incidence and prevalence of biologic and behavioral cardiovascular disease risk factors from childhood through adulthood. Their participation has enabled the study to not only document differences between males and females, but also between blacks and whites. The results from the Bogalusa Heart Study have clearly documented that the genesis of atherosclerosis has its basis in childhood, and that prevention can and must begin at the early ages.The Bogalusa Heart Study had been funded over the years by the Specialized Centers of Research (SCOR) Program. The SCOR program was initiated by NHLBI in 1970 to expedite the development and application of new knowledge essential for improved diagnosis, treatment, and prevention of arteriosclerosis, hypertension, pulmonary disease, and thrombosis. In 1984 a Demonstration and Education Component was added to the parent SCOR of the Bogalusa Heart Study in order to translate the experience gained in epidemiological studies into an intervention study designed to retard the development of cardiovascular risk factors in children. Beginning in 1997, the study was supported by the cooperative agreement mechanism. Participants: The Bogalusa dataset includes 11,796 participants that attended at least one of seven cross-sectional pediatric exams and/or the 1995-96 adult examination. Subjects ranged in age from 3 to 20 years at the pediatric exams and 20-37 at the time of the adult exam. Approximately 6,000 have more than one examination constituting a dynamic cohort. Design: The initial survey in 1973-1974 was restricted to children ages 2 1/2 to 14. A physical examination was conducted and information was collected on anthropometric data, hemoglobin, blood pressure, serum lipids, and health history. Over 3,500 children participated. The second cross-sectional survey of 1976-1977 and subsequent surveys expanded the eligible population to include all children ages 5-17 years. The second survey of over 4,000 children also included information on salt intake, smoking, health beliefs, and attitudes, and for girls ages 8-17, menstrual history and oral contraceptive use. The third survey of over 3,500 participants in 1978-1979 also collected anthropometric measurements on skinfold thickness and two measurements of heart rate. The fourth survey of over 3,300 participants in 1981-1982 added data on alcohol use, Type A behavior, peer networks and dieting habits.The Bogalusa Heart Study continued to use a cross-sectional and longitudinal design with the general cross-sectional survey of approximately 3,700 Bogalusa children ages five to seventeen in 1988-1989 in the sixth screen and additional longitudinal studies to recall children in defined subgroups for more intensive evaluation. Half of the 12,000 participants screened since 1973 had been studied three or more times. The Post High School Study examined young adults ages 21 through 30 who previously were examined as children ages five through fourteen in the first Bogalusa Heart Study screening in 1973-1974. The population included approximately 4,603 young adults originally screened and any other children or adolescents examined for the first time in any subsequent surveys. The cardiovascular phenotypes include obesity, blood pressure, lipids, lipoproteins, apoproteins, homocysteine, glucose-insulin, fibrinogen, plasminogen activator inhibitor-1 and von Willebrand Factor. Environmental risk factors consist of sociodemographic characteristics, tobacco and alcohol use, oral contraception, physical activity, cognitive and physical function, and quality of sleep and diet. Subclinical morbidity includes echo-Doppler measurements of cardiac-carotid structure and function.

  Study phs004173

• Environmental Arsenic and Diabetes Mellitus (Chihuahua Cohort)

  The Chihuahua Cohort was established as part of a larger NIEHS-funded project that used laboratory models (tissue culture and mice) and human subjects to examine the association between exposure to arsenic and diabetes, including identification of mechanisms underlying this association. All procedures involving human subjects were approved by institutional review boards at the University of North Carolina at Chapel Hill and Cinvestav-IPN (Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico). All participants provided signed informed consent. A total of 1,160 adults (≥ 18 years old) with a minimum 5-year uninterrupted residency in the Chihuahua study area were recruited between 2008 and 2012. Samples of drinking water were obtained from the participants' households. Data on residency, occupation, drinking-water sources and use, smoking, alcohol consumption, and medical history were recorded by a study questionnaire. Spot urine and fasting venous blood were collected during medical examination that included an oral glucose tolerance test (OGTT) with blood drawn 2 hr after a 75-g glucose dose. Plasma from both fasting and 2-hr blood samples was collected. Body mass index (BMI) of each participant was calculated from body weight and height. BMI cutoffs of ≥ 25.0, ≥ 30, and < 18.5 kg/m2 were used to define overweight, obese, and underweight individuals, respectively. Participants' waist circumference was also measured. Blood pressure was assessed using a manual sphygmomanometer. Three measurements were taken at intervals of at least 1 min, with a 5-min rest before obtaining the first reading; the mean of the last two measurements was used. The concentrations of arsenic in drinking water and arsenic species in urine were measured by hydride generation-atomic absorption spectrometry. The limit of detection for As in water as well as for As species in urine was 0.01 µg As/L. Creatinine concentration in urine was determined using an established colorimetric assay. DNA was isolated from blood for genotyping analysis.The following measures were taken: glucose concentration in fasting blood (FBG) and in blood collected 2 hours into OGTT (2HBG); concentrations of triglycerides, HDL and total cholesterol (TC) in fasting plasma; and LDL was calculated using the Friedewald equation. Diabetes was classified by FPG ≥ 126 mg/dL, 2HPG ≥ 200 mg/dL, or self-reported diabetes diagnosis or medication use (WHO/International Diabetes Federation 2006). Prediabetes was defined as the absence of diabetes with FPG ≥ 110 mg/ dL or 2HPG ≥ 140 mg/dL. Elevated fasting levels of each lipid were defined as plasma TG ≥ 150 mg/dL, TC ≥ 200 mg/dL, and LDL ≥ 130 mg/dL. Fasting HDL < 40 mg/dL in men and < 50 mg/dL in women were designated as low. Hypertension was defined by systolic blood pressure (SBP) > 140 mm Hg, diastolic blood pressure (DBP) > 90 mmHg, or self-reported use of anti-hypertensive medication. Genotyping analysis, which will be available in version 2 of this study, was carried out in a subset of ~600 subjects with focus on enzymes involved in the metabolism of arsenic, including AS3MT, GSTs.All data collected during the medical exams or generated by the above-described chemical and biochemical analysis of water, urine and blood/plasma, as well as results of the genotyping analysis are included in dbGaP. Data generated by metabolomics and epigenetic analyses in small subsets of the Chihuahua cohort are not included, but are available in published articles.

  Study phs002139