Replication Data for: Genetic variants associated with low-density lipoprotein cholesterol and systolic blood pressure and the risk of recurrent cardiovascular disease in patients with established vascular disease

DOI

This dataset contains data from patients enrolled in the Utrecht Cardiovascular Cohort – Second Manifestations of Arterial Disease (UCC-SMART) study. The UCC-SMART study is an ongoing, single-center, prospective cohort at the tertiary referral center University Medical Center Utrecht (UMCU) in the Netherlands. Patients aged 18-80 years referred to the UMCU with established cardiovascular disease (coronary artery disease (CAD), cerebrovascular disease (CeVD), peripheral arterial disease (PAD) or abdominal arterial aneurysm (AAA) underwent vascular screening. The UCC-SMART study was approved by the Medical Ethics Committee of the UMCU, and all patients provided written informed consent prior to inclusion. For the current study, data of patients that were included between September 1996 and August 2010 were used, as these patients were genotyped (n=6.971).

Identifier
DOI https://doi.org/10.34894/TCAZ6T
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/TCAZ6T
Provenance
Creator Groenland, Eline ORCID logo; Heidemann, Britt; Sander van der Laan ORCID logo; Jessica van Setten ORCID logo; Charlotte Koopal ORCID logo; Michiel Bots ORCID logo; Folkert Asselbergs ORCID logo; Frank Visseren ORCID logo; Wilko Spiering ORCID logo
Publisher DataverseNL
Contributor Groenland, Eline; Heidemann, Britt; Datamanager division
Publication Year 2021
Rights The standard Data Sharing Agreement (DSA) of the UMC Utrecht must be signed without adjustments. This DSA is in compliance with Dutch law. No costs are involved.; info:eu-repo/semantics/openAccess
OpenAccess true
Contact Groenland, Eline (UMC Utrecht); Heidemann, Britt (UMC Utrecht); Datamanager division (UMC Utrecht)
Representation
Resource Type Dataset
Format type/x-r-syntax; text/csv; application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/pdf
Size 15577; 4739; 11401; 21206; 6121; 9910; 3939; 29732; 13780; 387253; 4684; 1419; 8322; 99485
Version 1.1
Discipline Life Sciences; Medicine