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Cited by 325

The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.

A decade of genome-wide association studies for coronary artery disease: the challenges ahead

Open access
Erdmann, Jeanette, Kessler, Thorsten, Munoz Venegas, Loreto, Schunkert, Heribert·2018·Cardiovascular Research

Abstract

In this review, we summarize current knowledge on the genetics of coronary artery disease, based on 10 years of genome-wide association studies. The discoveries began with individual studies using 200K single nucleotide polymorphism arrays and progressed to large-scale collaborative efforts, involving more than a 100 000 people and up to 40 Mio genetic variants. We discuss the challenges ahead, including those involved in identifying causal genes and deciphering the links between risk variants and disease pathology. We also describe novel insights into disease biology based on the findings of genome-wide association studies. Moreover, we discuss the potential for discovery of novel treatment targets through the integration of different layers of 'omics' data and the application of systems genetics approaches. Finally, we provide a brief outlook on the potential for precision medicine to be enhanced by genome-wide association study findings in the cardiovascular field.

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Crossref · 10.1093/cvr/cvy084

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Metadata

Authors
Erdmann, J., Kessler, T., Munoz Venegas, L., & Schunkert, H.
Venue
Cardiovascular Research
Published
2018-03-30
Volume
114
Issue
9
Pages
1241-1257
ISSN
  • 0008-6363 (ISSN-L)
  • 1755-3245
OpenAlex
W2795181515
Cited by
325
References
120
FWCI
19.99
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A decade of genome-wide association studies for coronary artery disease: the challenges ahead. https://app.cochat.ai/papers/10.1093/cvr/cvy084
The paper
Erdmann, J., Kessler, T., Munoz Venegas, L., & Schunkert, H. (2018). A decade of genome-wide association studies for coronary artery disease: the challenges ahead. Cardiovascular Research. https://doi.org/10.1093/cvr/cvy084

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.