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Usage Information

Lack of MEF2A mutations in coronary artery disease
Li Weng, Nihan Kavaslar, Anna Ustaszewska, Heather Doelle, Wendy Schackwitz, Sybil Hébert, Jonathan C. Cohen, Ruth McPherson, Len A. Pennacchio
Li Weng, Nihan Kavaslar, Anna Ustaszewska, Heather Doelle, Wendy Schackwitz, Sybil Hébert, Jonathan C. Cohen, Ruth McPherson, Len A. Pennacchio
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Article Cardiology

Lack of MEF2A mutations in coronary artery disease

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Abstract

Mutations in MEF2A have been implicated in an autosomal dominant form of coronary artery disease (adCAD1). In this study we sought to determine whether severe mutations in MEF2A might also explain sporadic cases of coronary artery disease (CAD). To do this, we resequenced the coding sequence and splice sites of MEF2A in approximately 300 patients with premature CAD and failed to find causative mutations in the CAD cohort. However, we did identify the 21-bp MEF2A coding sequence deletion originally implicated in adCAD1 in 1 of 300 elderly control subjects without CAD. Further screening of approximately 1,500 additional individuals without CAD revealed 2 more subjects with the MEF2A 21-bp deletion. Genotyping of 19 family members of the 3 probands with the 21-bp deletion in MEF2A revealed that the mutation did not cosegregate with early CAD. These studies support that MEF2A mutations are not a common cause of CAD in white people and argue strongly against a role for the MEF2A 21-bp deletion in autosomal dominant CAD.

Authors

Li Weng, Nihan Kavaslar, Anna Ustaszewska, Heather Doelle, Wendy Schackwitz, Sybil Hébert, Jonathan C. Cohen, Ruth McPherson, Len A. Pennacchio

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 881 31
PDF 367 11
Figure 371 9
Table 216 0
Citation downloads 198 0
Totals 2,033 51
Total Views 2,084
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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