Chapter title |
Replication of <i>SCN5A</i> Associations with Electrocardio-graphic Traits in African Americans from Clinical and Epidemiologic Studies.
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Chapter number | 76 |
Book title |
Applications of Evolutionary Computation
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Published in |
Lecture notes in computer science, November 2014
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DOI | 10.1007/978-3-662-45523-4_76 |
Pubmed ID | |
Book ISBNs |
978-3-66-245522-7, 978-3-66-245523-4
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Authors |
Janina M. Jeff, Kristin Brown-Gentry, Robert Goodloe, Marylyn D. Ritchie, Joshua C. Denny, Abel N. Kho, Loren L. Armstrong, Bob McClellan Jr., Ping Mayo, Melissa Allen, Hailing Jin, Niloufar B. Gillani, Nathalie Schnetz-Boutaud, Holli H. Dilks, Melissa A. Basford, Jennifer A. Pacheco, Gail P. Jarvik, Rex L. Chisholm, Dan M. Roden, M. Geoffrey Hayes, Dana C. Crawford, Bob McClellanJr., Bob McClellan |
Editors |
Anna I. Esparcia-Alcázar, Antonio M. Mora |
Abstract |
The NAv1.5 sodium channel α subunit is the predominant α-subunit expressed in the heart and is associated with cardiac arrhythmias. We tested five previously identified SCN5A variants (rs7374138, rs7637849, rs7637849, rs7629265, and rs11129796) for an association with PR interval and QRS duration in two unique study populations: the Third National Health and Nutrition Examination Survey (NHANES III, n= 552) accessed by the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) and a combined dataset (n= 455) from two biobanks linked to electronic medical records from Vanderbilt University (BioVU) and Northwestern University (NUgene) as part of the electronic Medical Records & Genomics (eMERGE) network. A meta-analysis including all three study populations (n~4,000) suggests that eight SCN5A associations were significant for both QRS duration and PR interval (p<5.0E-3) with little evidence for heterogeneity across the study populations. These results suggest that published SCN5A associations replicate across different study designs in a meta-analysis and represent an important first step in utility of multiple study designs for genetic studies and the identification/characterization of genetic variants associated with ECG traits in African-descent populations. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 1 | 13% |
Student > Bachelor | 1 | 13% |
Professor | 1 | 13% |
Student > Ph. D. Student | 1 | 13% |
Researcher | 1 | 13% |
Other | 2 | 25% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 2 | 25% |
Medicine and Dentistry | 2 | 25% |
Agricultural and Biological Sciences | 1 | 13% |
Social Sciences | 1 | 13% |
Neuroscience | 1 | 13% |
Other | 0 | 0% |
Unknown | 1 | 13% |