Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico
Abstract Background The development of sequencing techniques and statistical methods provides great opportunities for identifying the impact of rare genetic variation on complex traits. However, there is a lack of knowledge on the impact of sample size, case numbers, the balance of cases vs controls...
Main Authors: | Xinyuan Zhang, Anna O. Basile, Sarah A. Pendergrass, Marylyn D. Ritchie |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2591-6 |
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