| Autor: |
Hemant Kulkarni, Indranil Mukhopadhyay, Saurabh Ghosh |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
BMC Proceedings, Vol 12, Iss S9, Pp 211-214 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
1753-6561 |
| DOI: |
10.1186/s12919-018-0147-4 |
| Popis: |
Abstract Complex genetic traits are often characterized by multiple quantitative phenotypes. Because values of such phenotypes vary over time, it is thought that analyses of longitudinal data on the phenotypes may lead to increased power in detecting genetic association. In this paper, we extend a transmission-based association test applying quasi-likelihood that has been developed by us to the longitudinal framework and to carry out a genome-wide association analysis of triglyceride levels based on the data provided in GAW20. We consider different phenotype definitions based on administration of fenofibrate and obtain significant association findings within genes involved in heart diseases. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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