3334 results for "*geneti*"

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• Clinical and genetic analysis of retinopathy of prematurity - GWAS

  This project aims to identify genetic variants that contribute to the development of retinopathy of prematurity (ROP). ROP is a leading cause of childhood blindness worldwide. We have performed a genome wide association study (GWAS) using Illumina Global Screening Array (GSA) BeadChip. For this GWAS design we assembled the largest group of ROP patients described to date: around 1000 ROP patients in total. Demographic and phenotypic information associated with each sample includes gestational age, gender, ethnicity, multiple birth status, presence of ROP, and birth weight. The results of this study will help advance our understanding of the genetic susceptibility to ROP and may result in novel treatment options to slow the progression of the disease.

  Study phs002020

• Genomic analysis of primary plasma cell leukemia reveals complex structural alterations and high risk mutational patterns

  Primary plasma cell leukemia (pPCL) is a rare and aggressive form of multiple myeloma (MM) that is characterized by poor overall survival despite advances in anti-MM therapy. The disease biology as well as molecular mechanisms that distinguish pPCL from non-pPCL MM remain poorly understood. In an attempt to identify key biological mechanisms that result in the aggressive pPCL phenotype we performed whole exome sequencing in 23 patients with newly diagnosed pPCL. The results reveal an enrichment of complex structural changes and high risk mutational patterns in pPCL that explain, at least in part, the aggressive nature of the disease. In particular pPCL patients with traditional low risk features such as translocation t(11;14) or hyperdiploidy accumulated adverse risk genetic events that could account for the poor outcome in this group.

  Study phs002022

• DCCT/EDIC Epigenetics (DNA Methylation) Study

  Metabolic memory (persistent benefits of early glycemic control on preventing/delaying diabetic complications development) was observed in the Diabetes Control and Complications Trial (DCCT) and follow-up Epidemiology of Diabetes Interventions and Complications (EDIC) study, dbGaP phs000086.v3.p1, but mechanisms are unclear. We investigated the involvement of epigenetic DNA methylation (DNAme) by examining its associations with preceding glycemic history, and subsequent complications development over 18 years in blood DNAs of 499 randomly-selected DCCT/EDIC participants with type 1 diabetes. We found associations between DNAme near DCCT-closeout and mean-DCCT-HbA1c at 186 CpGs (FDR<15%, including 43 at FDR<5%), many located in complications-related genes. These CpGs are enriched in C/EBP motifs, enhancer/transcription regions in blood cells/progenitors, and open chromatin-states in myeloid cells. Remarkably, several CpGs in combination explain 68-97% of the mean-DCCT-HbA1c risk of complications development during EDIC. DNAme at key CpGs appears to mediate the association between hyperglycemia and complications in metabolic memory, through modifying myeloid cell enhancer activity.

  Study phs002024

• Early progression to active tuberculosis is a highly heritable trait driven by 3q23 in Peruvians

  In a genome-wide genetic study of early progression to active tuberculosis (TB), we genotyped 4,002 active TB cases and their household contacts in Lima, Peru. We first established TB progression has a strong genetic basis, and is comparable to traits with well-established genetic bases (h2g=0.212). We identified a novel association between early TB progression and variants located in a putative enhancer region on chromosome 3q23 (rs73226617, OR = 1.18; P = 3.93 x 10-8). With in silico and in vitro analyses we identified genetic variant rs73226617 or rs148722713 as the likely functional variant and ATP1B3 as a potential causal target gene with monocyte specific function.

  Study phs002025

• Decoding Human Heart Morphogenesis through Single-cell Multi-modal Analyses

  The heart, which is the first organ to develop, is highly dependent on its form to function. However, how diverse cardiac cell types spatially coordinate to create complex morphological structures critical for heart function remains to be elucidated. Here, we show that integration of single cell RNA-sequencing with high-resolution multiplexed error-robust fluorescent in situ hybridization (MERFISH) not only resolves the identity of cardiac cell types developing the human heart but also provides a spatial mapping of individual cells that enables illumination of their organization into cellular communities forming distinct cardiac structures. We discovered that many of these cardiac cell types further specified into subpopulations exclusive to specific communities, supporting their specialization according to cellular ecosystem and anatomic region. In particular, ventricular cardiomyocyte subpopulations displayed an unexpected complex laminar organization across the ventricular wall and formed, with other cell subpopulations, several cellular communities. Interrogating cell-cell interactions within these communities revealed signaling pathways orchestrating the spatial organization of cardiac cell subpopulations during ventricular wall morphogenesis. In vivo conditional genetic mouse models and in vitro human pluripotent stem cell studies confirmed an intricate multicellular PLXN-SEMA crosstalk among specific ventricular cardiomyocyte, fibroblast and endothelial cell subpopulations that directs the compaction of the ventricular wall layers. Thus, these detailed findings into the cellular social interactions and specialization of cardiac cell types constructing and remodeling the human heart offer new insights into structural heart diseases as well as engineering complex multi-cellular tissues for human heart repair. Reprinted from Farah et al. (In press), with permission from Nature.

  Study phs002031

• Genetic Neuroscience: How Human Genes and Alleles Shape Neuronal Phenotypes

  The goal of this collaborative, interdisciplinary project is to develop powerful, generalizable approaches for discovering how risk variants for psychiatric disorders shape neurobiological processes at multiple levels of analysis, and to identify the processes whose dysregulation underlies disease.Induced pluripotent stem cells (iPSCs) were used towards the development of these new experimental and inferential systems bridging gaps between human genetics and experimental biology. The largest publicly available collection of iPSCs (2607 lines) has been generated from 2184 donors by the California Institute for Regenerative Medicine (CIRM). To expand our donor collection, an additional 44 iPSC donors from the McLean_Levy cohort were identified. We wish to share the available SNP data for 2167 CIRM lines and whole genome sequence data generated at the Broad Institute for 473 of the CIRM and 44 McLean_Levy iPSC donors. These data can be used to identify (for experiments) lines with specific genotypes of interest and lines from donors with high or low polygenic risk scores for phenotypes of interest. The data can also be used to identify acquired mutations in the iPSC lines. The CIRM iPSC lines are available through Fujifilm Cellular Dynamics iPSC Repository (https://www.fujifilmcdi.com/cirm-ipsc-products/). The McLean_Levy lines are available through the NIMH Repository & Genomics Resource (https://www.nimhgenetics.org/).Additional project data registered with the study includes data from an iPSC line derived from an SMA patient (n=1), as well as single-cell RNA sequence data and supplemental processed genomic datasets in support of project publications.Molecular DatasetsSingle-cell RNA-seq: 10X Genomics, Illumina NovaSeqSupplemental "cell village" pooled genomic sequence data: Illumina NextSeqWhole Genome Genotyping: Infinium Global Screening Array-24 Kit, Illumina HumanCore chipWhole Genome Sequencing: Illumina NovaSeq

  Study phs002032

• National Heart, Lung and Blood Institute: Regulation of Motile Cilia Assembly in Lung Disease

  This study of 59 primary ciliary dyskinesia (PCD) patients utilized whole-exome capture sequencing to help identify variants that may be causative for PCD. Our goal was to provide insights into disease pathophysiology in samples, most of which had no obvious phenotype from transmission electron microscopy. This class of patients has been understudied. The patient samples were collected through UNC or under the auspices of Genetic Disorders of Mucociliary Clearance Consortium (GDMCC), which consists of eight geographically diverse clinical research sites across North America. It collectively studies inherited respiratory diseases related to impaired mucociliary clearance and airway host defense, which result in chronic suppurative respiratory diseases. The goal is to enhance diagnostic capabilities as the Consortium has been pivotal in the identification and/or characterization of 34 primary ciliary dyskinesia-associated genes. In this phase of the work, we used immunocytochemistry in patient samples and in shRNA hTEC cultures to show the localization of the CFAP57 protein to cilia and the role of a short region in trafficking of CFAP57 into the cilia. This work was complemented by proteomic studies in the Chlamydomonas reinhardtii

  Study phs002035

• WGSPD Project 1: Whole Genome Sequencing for Schizophrenia and Bipolar Disorder

  The Center for Genomic Psychiatry at the University of Southern California (USC) and an extensive network of academic medical centers have created the Genomic Psychiatry Cohort (GPC). The GPC consists of a large clinical cohort of patients with schizophrenia, bipolar disorder, and healthy controls. The pilot phase of whole genome sequencing of the GPC has been done in collaboration with the USC and the Broad Institute of MIT and Harvard. Whole genome sequencing (20X) and analysis of 9,033 well-phenotyped individuals from the Genomic Psychiatry Cohort (GPC), divided among schizophrenia cases, bipolar disorder cases, and psychiatrically normal controls, and comprised of European-Ancestry (EA), African-Ancestry (AA), and Latino individuals. The combination of clinically well-characterized GPC participants and whole genome sequencing with rich functional annotation aims to identify functional variants associated with schizophrenia and bipolar disorder risk. Over half of the sequenced samples are patients with a diagnosis of either schizophrenia or bipolar disorder. The majority of the study participants are of African American ancestry, increasing the diversity of sampling for these important diseases in traditionally understudied populations. This data set also contains 545 samples that have undergone 10x Genomics Linked-Read Sequencing (169 participants overlapping with the 9,033 participant WGS 20X dataset). In addition to the benefits due to disease phenotyping and ancestry selection that apply to all of the WGSPD Project 1 samples, the 10x Genomics Linked-Read samples, through the use of barcodes that can identify the long input DNA fragment that each sequencing read was generated from, can be used to 1) identify structural variants that are difficult to call with standard short read data, 2) map short reads to repetitive regions of the genome that cannot be assayed with standard short reads, and provide highly accurate phasing information about genetic variants, including rare variants that are more difficult to phase using statistical phasing techniques.

  Study phs002041

• Center for Common Disease Genomics (CCDG) Neuropsychiatric: Autism Center of Excellence (ACE II)

  In this study, we address the enormous challenges common complex diseases pose for genomic analysis and the enormous opportunities surmounting them offers for advancing healthcare. The common genetic disorders proposed for study here are believed to have extreme locus heterogeneity, requiring the analysis of large numbers of samples to comprehensively identify the genomic variants underlying them. We propose that a combination of deep population studies and joint analysis of SNPs, indels, and structural variants, both in coding and noncoding regions, will provide the next level of understanding of common genetic disorders. Whole genome sequencing (WGS) will be critical to this next-generation approach to the genomics of complex disease. WGS will need to be accompanied by the technical ability to generate and handle very large data sets, a particular focus and strength of NYGC. WGS will also need to be accompanied by new statistical tools and algorithms, which will be developed by the strong core group committed to this proposal. An overarching goal of this proposal, one that capitalizes on the power of WGS, is to identify disease-associated variants at the individual nucleotide level. In many cases, pathogenic mutations fall in noncoding regions of the genome, which can only be fruitfully explored with WGS. A major effort was put into building new computational strategies to functionally annotate noncoding transcribed sequences, and to build new datasets to enable such strategies, opening new frontiers of understanding of disease-related regulatory variants.

  Study phs002042

• Drop-BS: High-Throughput Single-Cell Bisulfite Sequencing on a Microfluidic Droplet Platform

  We present a high-throughput droplet-based bisulfite sequencing library preparation platform. Our protocol allows the production of a BS library of 2,000-10,000 single cells within 2 days. In addition to validation using mixed cell lines, we also used the technology to profile various cell types in mouse and human brain samples.

  Study phs002123