3613 results for "*geneti*"

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• Genetic Analysis of Epidermal Inclusion Cysts

  The goal of this study was to identify a potential driver of epidermal inclusion cysts, or epidermoid cysts, (EICs) in human skin. Individuals were recruited at EIC excision appointments made a priori, with no exclusion criteria. Fresh biopsies and saliva were taken from consented patients, and DNA harvested immediately. Whole exome sequencing was performed (150-bp paired end reads) to 200X in tissue and 80X in saliva via Illumina NovaSeq 6000 sequencer. Identification of somatic mutations was performed using GATK best practices. Somatic variants in the NEK9 gene were found in 12/14 cases sequenced, with clustering of variants within the RCC1 and kinase domains of the protein.

  Study phs003776

• Multi-Ethnic Study of Atherosclerosis (MESA) - Cardiac CT Image Repository

  The Multi-Ethnic Study of Atherosclerosis (MESA) is a study of the characteristics of subclinical cardiovascular disease (disease detected non-invasively before it has produced clinical signs and symptoms) and the risk factors that predict progression to clinically overt cardiovascular disease or progression of the subclinical disease. MESA researchers study a diverse, population-based sample of 6,814 asymptomatic men and women aged 45-84. Thirty-eight percent of the recruited participants are white, 28 percent African-American, 22 percent Hispanic, and 12 percent Asian, predominantly of Chinese descent. Data available for request include raw cardiac CT images. These new data are intended to be made available to interested researchers via BioData Catalyst, will include participants irrespective of participation in genetics (i.e. the full MESA cohort), and may be merged with currently posted (to dbGaP) phenotype and molecular datasets (WGS, GWA, RNA Seq, Methylation, Metabolomics, and Proteomics).

  Study phs004423

• Genome-Wide Association Study for Glucocorticoid-Induced Ocular Hypertension

  We aim to identify genetic variants associated with glucocorticoid (GC)-induced intraocular pressure (IOP) change utilizing genome-wide association study (GWAS) and whole exome sequencing (WES) analyses. The primary outcome was IOP change from baseline to the maximum IOP measurement within 6 months of GC treatment. Study participants were derived from two cohorts: the Fluocinolone Acetonide in Diabetic Macular Edema (FAME) clinical trial and Massachusetts Eye and Ear Infirmary and Retina Health Center (MEE/RHC) clinical sites. The discovery analysis was conducted using the FAME samples (GWAS: n=532, WES: n=534) and replication analysis was done using the MEE/RHC samples (GWAS: n=603, WES: n=601).IOP was measured at baseline and throughout the first 6 months of GC exposure. DNA samples were collected through blood and underwent genome-wide genotyping on Illumina's Global Screening Array (GSA) and WES using a custom exome bait from TWIST Biosciences on the Agilent Bravo automated platform. Rare variant gene burden analyses were applied across all ancestries and in the European subgroup after adjusting for covariates. Gene-level and pathway analyses were performed using MAGMA and expression/splicing quantitative trait loci (eQTL/sQTL) colocalization was completed using eCAVIAR.Demographic and phenotypic information of the 1166 participants enrolled are available in this dbGaP deposition, including information on the GC medications, IOP measurements within the 6 month follow up period, and ocular hypertension/glaucoma history. Array derived genotypes, genotype calls derived from sequencing, and whole exome sequencing data will also be available.

  Study phs004037

• Kids First: Whole Genome Sequencing Studies of Multiplex Nonsyndromic Cleft Lip/Palate Families

  Nonsyndromic cleft lip with or without cleft palate (NSCLP) is a common birth defect that affects approximately 135,000 newborns worldwide, and imposes significant medical, psychosocial and financial burdens to affected individuals and their families. Genetic variation in numerous genes has been associated with NSCLP, however the exact mechanisms by which they contribute to the condition remain largely unknown. Here, we will use whole genome sequencing and robust analytical approaches to systematically evaluate the causes of NSCLP in 923 individuals from large multigenerational families.

  Study phs002626

• Incidental Detection of Maternal Neoplasia through Non-Invasive Cell-Free DNA Analysis (IDENTIFY), a Natural History Study

  Prenatal cell-free (cf) DNA sequencing for fetal aneuploidy incidentally detects circulating tumor DNA in the plasma of asymptomatic pregnant women. Distinguishing the subset of women with malignant tumors detected by prenatal sequencing from those with benign conditions, such as uterine fibroids, is critical to maternal medical management. The Incidental Detection of Maternal Neoplasia Through Non-Invasive Cell-Free DNA Sequencing (IDENTIFY) study at the National Institutes of Health in Bethesda, MD, offers standardized cancer screening and cfDNA sequencing to asymptomatic or minimally symptomatic pregnant women with nonreportable prenatal cfDNA sequencing results. We previously reported that whole-body magnetic resonance imaging (WB-MRI) and a specific genome-wide sequencing pattern of chromosomal gains and losses involving three or more chromosomes could reliably differentiate which women had cancer. We continue to explore additional noninvasive biomarkers to identify the subset of women with nonreportable prenatal cfDNA sequencing results who have cancer and to predict tissues of origin, particularly when patients or their providers are reluctant to pursue diagnostic testing, WB-MRI studies are unavailable, or imaging findings are indeterminate. Here, cfDNA sequence analysis was performed to identify cancer driver somatic mutations that might aid in distinguishing between pregnant women who have a high likelihood of occult malignancy from those who do not. In this pilot study, prospectively collected blood samples from 65 pregnant or postpartum women with and without occult cancers were analyzed blindly for cfDNA somatic mutations in 275 cancer-associated genes.

  Study phs004107

• Single Cell and Spatial Transcriptomics Studies of Fibrosis in Prospective Registry in IBD Study at MGH and GI Disease and Endoscopy Registry

  Stricturing disease or fibrosis is a common complication of inflammatory bowel disease (IBD), often requiring surgical intervention. This process is caused by the abnormal deposition of extracellular matrix in the context of inflammation, and thus involves crosstalk between multiple cell types including fibroblasts and immune cells. To understand the cellular interactions involved in fibrosis, we performed single cell and spatial transcriptomic analyses of biopsy or resection samples from IBD patients, diverticulitis patients or controls.For single cell analyses, intestinal samples were processed within three hours of collection by first stripping the epithelial layer with EDTA and then enzymatically digesting the underlying tissue. Cells from both the epithelial and tissue fractions were separately loaded in two channels on a 10x Chromium controller and libraries were generated with the 3'v3 Chemistry pipeline before sequencing on an Illumina sequencer. The resulting sequence data was demultiplexed and analyzed with the CellRanger pipeline to generate raw fastq files and processed gene-count matrices for each sample.For spatial transcriptomic analyses, intestinal resection samples were snap frozen in OCT (optimal cutting temperature embedding medium). Blocks were cut into 10μm sections in a cryostat and transferred to a 10x Genomics Visium slide v1. Spatially barcoded libraries were prepared according to manufacturer's instructions and sequencing on an Illumina sequencer. The resulting sequence data was processed with the SpaceRanger pipeline to generate fastq files and processed barcode-count matrices. Using the samples deposited here, we defined 68 fine-grained cell types across the ileum and colon of control and fibrotic intestinal tissues. We show that intestinal strictures were characterized by increased immune cells - including IgG+ plasma cells and CCR7hiCD4+ T cells - and inflammatory fibroblasts. We also define the transcriptional differences associated with fibrosis, with inflammatory fibroblasts in particular showing broad changes in gene expression. Spatial transcriptomics showed that key subsets colocalize within diseased tissues and identified additional populations such as interstitial cells of Cajal and enteric neurons. Further, we mapped gene expression onto intestinal biogeography, finding that known genetic risk loci are enriched within discrete spatial modules, defined by the presence of inflammatory fibroblasts and lymphoid follicles. Altogether, our datasets chart the key transcriptomic and cellular networks in stricturing CD and highlight the spatial organization of multicellular genetic risk factors.

  Study phs003943

• Non-Dependent Opioid Misusers as Controls for a Genome-Wide Association Study

  The Non-Dependent Opioid Misusers as GWAS Controls (i.e., the Opioid Misuse Study) is a genetic association study that was designed to compare adults with limited (6 months of daily or near daily) of opioid misuse. Participants were required to provide a source of DNA and to be of either non-Hispanic European American or African American ancestry (to yield adequately powered subsamples for genetic analyses). Adults (age >18 years) with a history of opioid misuse were recruited from Washington University School of Medicine (WUSM) recruitment and clinical sources, treatment centers, recovery residences, print and electronic advertisements, and social media. A brief, non-diagnostic screening call was completed to confirm the opioid misuse history of prospective participants. Limited lifetime misusers were required to have no opioid misuse for the past year. Extensive misusers were required to have had a clinical opioid use disorder diagnosis. Informed consent was obtained from all participants as per protocols approved by the institutional review boards of WUSM and the State of Missouri.A modified Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) obtained age of first, and most recent, use as well as DSM-5 substance use disorder diagnoses for heroin and prescription opioids (separately), cannabis, amphetamines, sedatives, cocaine, alcohol, and nicotine. Other assessed diagnoses included major depressive disorder, conduct disorder, and post-traumatic stress disorder. Non-diagnostic sections obtained information on demographics and suicidality. A short form version of the Addition Research Center Interview, added to assess the subjective effects of opioid misuse, was modified to enable retrospective assessment. A subsequent change to telephone interviews enabled recruitment of participants from a much broader geographic area encompassing the U.S. and Canada. Data are included here from 1774 individuals with a lifetime history of opioid misuse, of whom 1227 were of European American ancestry and 547 were of African American ancestry. We provide participants' estimated totals for number of times misused opioids lifetime and endorsement of opioid use disorder symptoms, which did not entirely correspond to our initial conceptualization of case and exposed control status.

  Study phs003684

• Integrative Analysis for Multi-Omics Data in Non-Small-Cell Lung Cancer

  We conducted epigenetic and transcriptomic mapping of primary non-small cell lung tumors and non-neoplastic tissues. 20 non-neoplastic lung tissues and 18 non-small cell lung tumors were obtained from Biorepository and Tissue Technology Shared Resource at Moores Cancer Center, UC San Diego. All tumor samples were in pathological stages I and II. 8 pairs of samples were "matched", meaning that the tumor and normal tissues came from the same patient. Microfluidic oscillatory washing–based chromatin immunoprecipitation followed by sequencing (MOWChIP-seq) was used to profile the binding of H3K4me1, H3K4me3, H3K9me3, H3K27ac and H3K27me3. SmartSeq-2 was used to map mRNA expression. We identified a large number of differentially modified regions for both epigenetic and transcriptomic markers between tumors and normal tissues. Deep learning model showed extensive transcription factor network rewiring. Raw sequencing data of the ChIP-seq and RNA-seq libraries are available through this dbGaP submission.

  Study phs003113

• Chicago Infant Mortality Study

  The Chicago Infant Mortality Study (CIMS) was a population-based, prospective, case-control study conducted in metropolitan Chicago, Cook County, Illinois, to examine the risk factors for sudden infant death syndrome (SIDS) among a primarily Black population. Eligible case infants were aged birth to one year where the cause of death was determined to be SIDS while eligible control infants were aged one month to one year who died of other sudden unexpected infant death (SUID) causes. Recruitment occurred between November 1993 and April 1996. The goal of this ancillary multiomics study was to evaluate possible genetic and epigenetic determinates of SIDS and together with metabolomic profiles, identify novel clinical diagnostic tools to enable molecular autopsies and biomarkers to proactively identify and intervene in infants at greater risk of death from SIDS. The multiomics data was generated from medical examiner autopsy specimens and includes: whole exome sequencing genotypes; RNA-seq transcriptome and methylome profiles from autopsy heart tissue; and serum metabolomics profiles. The sample size available varies with the modality of the omics assay, but the total number of unique infants included is about 400.

  Study phs003790

• Kids First: Genomic Analysis of Pediatric Rhabdomyosarcoma

  The Gabriella Miller Kids First Pediatric Research Program (Kids First) is a trans-NIH effort initiated in response to the 2014 Gabriella Miller Kids First Research Act and supported by the NIH Common Fund. This program focuses on gene discovery in pediatric cancers and structural birth defects and the development of the Gabriella Miller Kids First Pediatric Data Resource (Kids First Data Resource). All of the genomic and phenotypic data from this study are accessible through dbGaP. The data is also available at the Kids First Portal, where other Kids First datasets can also be accessed in the cloud for data analysis, data visualization, collaboration and interoperability, open to all researchers and developers. Rhabdomyosarcoma (RMS) is one of the most common and deadly sarcomas in children and adolescents, but very little is known about its genetic epidemiology. This study will explore the role of new (i.e., de novo) mutations in both known cancer predisposition genes and novel susceptibility genes on the risk of RMS. A better understanding of the genetic risks for RMS may lead to prevention strategies, better risk stratification, and even the identification of new therapeutic targets.

  Study phs004306