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ID

46002

Beskrivning

Principal Investigator: Kelly Frazer, PhD, University of California San Diego, CA, USA MeSH: Heart Diseases,Cardiovascular Diseases,Healthy Volunteers https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000924 The iPSCORE Resource of human induced pluripotent stem cells (hiPSCs) was created as part of the Next-Gen Consortium funded by the NHLBI. The overarching purpose of the iPSCORE Resource is to provide a large collection of hiPSCs for use in studying the impact of genetic variation on molecular and physiological phenotypes. This Resource is being used in a number of ongoing studies for which genomic data will be generated and deposited into public repositories and linked through dbGaP. A total of 273 individuals have participated in the study for which 222 have had hiPSCs generated from fibroblasts (available through WiCell (http://www.wicell.org/)). Of the 273 individuals, 181 are part of 55 families that include 24 monozygotic twin pairs and 5 dizygotic twin pairs, allowing for the incorporation of familial relationships into genetic analyses. Germline DNA has been sequenced from blood or fibroblast samples for all 273 individuals (see phs001325) and other genomic data (RNA-seq, DNA methylation, and genotype arrays) has been generated from the 222 hiPSCs derived from a subset of these individuals (phs000924). Current studies include differentiation of these hiPSCs to other cell types, including cardiomyocytes and retinal pigment epithelium, and the generation of additional genomic data.

Länk

dbGaP study=phs000924

Nyckelord

  1. 2024-04-28 2024-04-28 - Madita Rudolph
Rättsinnehavare

Kelly Frazer, PhD, University of California San Diego, CA, USA

Uppladdad den

28 april 2024

DOI

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Licens

Creative Commons BY 4.0

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    dbGaP phs000924 NextGen Consortium: The iPSCORE (iPSC Collection for Omic Research) Resource

    This data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.

    1. StudyEvent: SEV1
      1. Eligibility Criteria
      2. The subject consent data table contains subject IDs, consent information, and pooled subject IDs.
      3. This pedigree data table contains family relationships in the format of family IDs, subject IDs, father IDs, mother IDs, subjects's sex, twin IDs, and indicator for monozygotic and dizygotic twins.
      4. This data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
      5. This subject phenotype table includes subject's sex, age at enrollment, race (n=3 variables; self-reported, race/ethnicity grouped by researcher, and genetically similar population groups), heart diagnoses (n=5 variables; primary diagnoses and classification, other diagnoses, comments, and disease ontology), IPSCORE IDs, and indicators if subject was part of a study/paper (n=10 variables; iPSCORE resource, aberrant iPSC methylation in twins, WGS, eQTL, allele-specific NKX2-5 binding in iPSC-CMs, Hi-C in iPSCs and iPSC-CMs, mutational burden of iPSCs, iPSC-derived retinal pigment epithelium, structural variation in IPSCORE, and lncrnas in iPSC-CMs).
      6. This sample attributes table includes sample histological type, tumor status, clone and passage number of cell lines, method used to generate iPSCs, analyte type, sample source, genotyping center, sequencing center, array version, array coordinates (n=2 variables; Illumina and paired germline sample), differentiation protocol, chromatin based assay, and indicators if sample was part of a study/paper (n=11 variables; iPSCORE resource, aberrant iPSC methylation in twins, eQTL, allele-specific NKX2-5 binding in iPSC-CMs, Hi-C in iPSCs and iPSC-CMs, mutational burden of iPSCs, iPSC-derived retinal pigment epithelium, structural variation in iPSCORE, lncrnas in iPSC-CMs, differentiation of iPSCs to iPSC-CMs or cardiovascular precursor cells (CVPC), and co-accessibility between ATAC sites within iPSCs), other IDs (n=4 variables; UCSD source tissue, UCSD iPSC clone, UCSD differentiation, WiCell), and sample group as used in iPSCORE resource paper.
    pht006322
    Beskrivning

    pht006322

    Alias
    UMLS CUI [1,1]
    C3846158 (Other Coding)
    LOINC
    LA4728-7
    Subject ID
    Beskrivning

    SUBJECT_ID

    Datatyp

    string

    Alias
    UMLS CUI [1,1]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Sample ID
    Beskrivning

    SAMPLE_ID

    Datatyp

    string

    Alias
    UMLS CUI [1,1]
    C1299222 (Sample identification number)
    SNOMED
    372274003

    Similar models

    This data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.

    1. StudyEvent: SEV1
      1. Eligibility Criteria
      2. The subject consent data table contains subject IDs, consent information, and pooled subject IDs.
      3. This pedigree data table contains family relationships in the format of family IDs, subject IDs, father IDs, mother IDs, subjects's sex, twin IDs, and indicator for monozygotic and dizygotic twins.
      4. This data table contains mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
      5. This subject phenotype table includes subject's sex, age at enrollment, race (n=3 variables; self-reported, race/ethnicity grouped by researcher, and genetically similar population groups), heart diagnoses (n=5 variables; primary diagnoses and classification, other diagnoses, comments, and disease ontology), IPSCORE IDs, and indicators if subject was part of a study/paper (n=10 variables; iPSCORE resource, aberrant iPSC methylation in twins, WGS, eQTL, allele-specific NKX2-5 binding in iPSC-CMs, Hi-C in iPSCs and iPSC-CMs, mutational burden of iPSCs, iPSC-derived retinal pigment epithelium, structural variation in IPSCORE, and lncrnas in iPSC-CMs).
      6. This sample attributes table includes sample histological type, tumor status, clone and passage number of cell lines, method used to generate iPSCs, analyte type, sample source, genotyping center, sequencing center, array version, array coordinates (n=2 variables; Illumina and paired germline sample), differentiation protocol, chromatin based assay, and indicators if sample was part of a study/paper (n=11 variables; iPSCORE resource, aberrant iPSC methylation in twins, eQTL, allele-specific NKX2-5 binding in iPSC-CMs, Hi-C in iPSCs and iPSC-CMs, mutational burden of iPSCs, iPSC-derived retinal pigment epithelium, structural variation in iPSCORE, lncrnas in iPSC-CMs, differentiation of iPSCs to iPSC-CMs or cardiovascular precursor cells (CVPC), and co-accessibility between ATAC sites within iPSCs), other IDs (n=4 variables; UCSD source tissue, UCSD iPSC clone, UCSD differentiation, WiCell), and sample group as used in iPSCORE resource paper.
    Name
    Typ
    Description | Question | Decode (Coded Value)
    Datatyp
    Alias
    Item Group
    pht006322
    C3846158 (UMLS CUI [1,1])
    SUBJECT_ID
    Item
    Subject ID
    string
    C2348585 (UMLS CUI [1,1])
    SAMPLE_ID
    Item
    Sample ID
    string
    C1299222 (UMLS CUI [1,1])

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