ID

45711

Description

Principal Investigator: Johan Björkegren, M.D., Ph.D, Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai, New York, NY, USA MeSH: Coronary Artery Disease https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001203 STARNET is a genetics of RNA expression study of multiple disease-relevant tissues obtained from living patients with cardiovascular disease. Tissue samples are obtained from blood, atherosclerotic-lesion-free internal mammary artery (MAM) and atherosclerotic aortic root (AOR), subcutaneous fat (SF), visceral abdominal fat (VAF), skeletal muscle (SKLM), and liver (LIV) during open thorax surgery of 600 coronary artery disease (CAD) patients. All patients gave written informed consent. The inclusion criterion was eligibility for coronary artery by-pass graft (CABG) surgery. Patients with other severe systemic diseases, such as active systemic inflammatory disease or cancer, were excluded. The primary clinical end points were the SYNTAX score based on the extent of coronary atherosclerosis assessed from preoperative angiograms. The STARNET patients are Caucasians (31% females); 32% had diabetes, 75% had hypertension, and 67% had hyperlipidemia; and 33% had an MI before age 60. By New York Heart Association criteria, 45% were class I, 42% class II, 9% class III, and 1% class IV. TYPES AND RNA SEQUENCING: 566 DNA genotype and 3577 RNA-seq profiles from seven tissues from 600 STARNET CABG patients passed quality control (on average 511 RNA-seq profiles/tissue). DNA was genotyped with the OmniExpress Exome array (Illumina, ~900k SNPs) and imputed to a total of 14,098,063 DNA variant calls (6,245,505 with minor allele frequency 5%). The STARNET subjects mainly overlap with Caucasian of Northern European (Finnish) descent. RNA sequencing was performed using the HighSeq2000 platform, poly-A (LIV, SKLM, VAF, SF and blood) and ribo-zero (AOR, MAM) protocols with 50-100 bp read lengths, single end to 15-30 million read depth.

Link

dbGaP study = phs001203

Keywords

  1. 5/17/23 5/17/23 - Simon Heim
Copyright Holder

Johan Björkegren, M.D., Ph.D, Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai, New York, NY, USA

Uploaded on

May 17, 2023

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :


    No comments

    In order to download data models you must be logged in. Please log in or register for free.

    dbGaP phs001203 Stockholm-Tartu Atherosclerosis Reverse Network Engineering Task (STARNET)

    Eligibility Criteria

    Inclusion and exclusion criteria
    Description

    Inclusion and exclusion criteria

    Alias
    UMLS CUI [1,1]
    C1512693 (Inclusion)
    UMLS CUI [1,2]
    C0680251 (Exclusion Criteria)
    Described in Franzén et al., Science, 2016
    Description

    Elig.phs001203.v1.p1.1

    Data type

    boolean

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

    Similar models

    Eligibility Criteria

    Name
    Type
    Description | Question | Decode (Coded Value)
    Data type
    Alias
    Item Group
    Inclusion and exclusion criteria
    C1512693 (UMLS CUI [1,1])
    C0680251 (UMLS CUI [1,2])
    Elig.phs001203.v1.p1.1
    Item
    Described in Franzén et al., Science, 2016
    boolean
    C3846158 (UMLS CUI [1,1])

    Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

    Watch Tutorial