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ID

46133

Description

Principal Investigator: Theodora S. Ross, MD, PhD, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA, and Department of Cancer Genetics, UT Southwestern Medical Center, Dallas, TX, USA MeSH: Neoplasms,Breast Neoplasms,Ovarian Neoplasms,Peritoneal Neoplasms,Skin Neoplasms,Esophageal Neoplasms,Thyroid Neoplasms,Urinary Bladder Neoplasms,Endometrial Neoplasms,Fallopian Tube Neoplasms,Melanoma,Testicular Neoplasms,Bile Duct Neoplasms,Lung Neoplasms,Colonic Neoplasms,Adrenocortical Carcinoma,Carcinoma, Renal Cell,Colonic Polyps,Adenomatous Polyposis Coli,Lymphoma, Large B-Cell, Diffuse,Pheochromocytoma,Paraganglioma,Leiomyoma,Hemangioblastoma,Hyperparathyroidism,Pancreatic Neoplasms,Vulvar Neoplasms,Brain Neoplasms,Liver Neoplasms,Kidney Neoplasms,Prostatic Neoplasms,Glioblastoma,Oncocytoma, renal https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000942 Despite the potential of whole-genome sequencing (WGS) to improve patient diagnosis and care, the empirical value of WGS in the cancer genetics clinic is unknown. We performed WGS on members of two cohorts of cancer genetics patients: those with BRCA1/2 mutations (n = 176) and those without (n = 82). Initial analysis of potentially pathogenic variants (PPVs, defined as nonsynonymous variants with allele frequency 1% in ESP6500) in 163 clinically-relevant genes suggested that WGS will provide useful clinical results. This is despite the fact that a majority of PPVs were novel missense variants likely to be classified as variants of unknown significance (VUS). Furthermore, previously reported pathogenic missense variants did not always associate with their predicted diseases in our patients. This suggests that the clinical use of WGS will require large-scale efforts to consolidate WGS and patient data to improve accuracy of interpretation of rare variants. While loss-of-function (LoF) variants represented only a small fraction of PPVs, WGS identified additional cancer risk LoF PPVs in patients with known BRCA1/2 mutations and led to cancer risk diagnoses in 21% of non-BRCA cancer genetics patients after expanding our analysis to 3209 ClinVar genes. These data illustrate how WGS can be used to improve our ability to discover patients' cancer genetic risks. "Reprinted from doi:10.1016/j.ebiom.2014.12.003, with permission from EBioMedicine."

Link

dbGaP study id = phs000942

Keywords

  1. 11/27/24 11/27/24 - Dr. Christian Niklas
Copyright Holder

Theodora S. Ross, MD, PhD, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA, and Department of Cancer Genetics, UT Southwestern Medical Center, Dallas, TX, USA

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November 27, 2024

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License

Creative Commons BY 4.0

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    dbGaP phs000942 Use of WGS for Diagnosis and Discovery in the Cancer Genetics Clinic

    Subject ID, sample ID, sample source, source sample ID, and sample use variable of participants with or without different types of cancer and involved in the "Use of Whole Genome Sequencing for Diagnosis and Discovery in the Cancer Genetics Clinic" project.

    pht004835
    Description

    pht004835

    Subject ID
    Description

    SUBJECT_ID

    Data type

    text

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

    SAMPLE_ID

    Data type

    text

    Alias
    UMLS CUI [1,1]
    C1299222 (Sample identification number)
    SNOMED
    372274003
    Source repository where samples originate [Ohio State University, University of Texas Southwestern Medical Center, Coriell]
    Description

    SAMPLE_SOURCE

    Data type

    string

    Alias
    UMLS CUI [1,1]
    C3847505 (Repository)
    LOINC
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    SNOMED
    260753009
    LOINC
    LP21212-3
    UMLS CUI [1,3]
    C2347026 (Biospecimen)
    Sample ID used in the Source Repository
    Description

    SOURCE_SAMPLE_ID

    Data type

    text

    Alias
    UMLS CUI [1,1]
    C1299222 (Sample identification number)
    SNOMED
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    UMLS CUI [1,2]
    C3847505 (Repository)
    LOINC
    LP182360-0
    UMLS CUI [1,3]
    C0449416 (Source)
    SNOMED
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    Data type

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    Alias
    UMLS CUI [1,1]
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    UMLS CUI [1,2]
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    SNOMED
    260676000

    Similar models

    Subject ID, sample ID, sample source, source sample ID, and sample use variable of participants with or without different types of cancer and involved in the "Use of Whole Genome Sequencing for Diagnosis and Discovery in the Cancer Genetics Clinic" project.

    Name
    Type
    Description | Question | Decode (Coded Value)
    Data type
    Alias
    Item Group
    pht004835
    SUBJECT_ID
    Item
    Subject ID
    text
    C2348585 (UMLS CUI [1,1])
    SAMPLE_ID
    Item
    Sample ID
    text
    C1299222 (UMLS CUI [1,1])
    SAMPLE_SOURCE
    Item
    Source repository where samples originate [Ohio State University, University of Texas Southwestern Medical Center, Coriell]
    string
    C3847505 (UMLS CUI [1,1])
    C0449416 (UMLS CUI [1,2])
    C2347026 (UMLS CUI [1,3])
    SOURCE_SAMPLE_ID
    Item
    Sample ID used in the Source Repository
    text
    C1299222 (UMLS CUI [1,1])
    C3847505 (UMLS CUI [1,2])
    C0449416 (UMLS CUI [1,3])
    Item
    Sample Use
    string
    C2347026 (UMLS CUI [1,1])
    C1524063 (UMLS CUI [1,2])
    Code List
    Sample Use
    CL Item
    SNP and CNV genotypes derived from sequence data (Seq_DNA_SNP_CNV)
    C0017431 (UMLS CUI [1,1])

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