Testing optimally weighted combination of variants for hypertension
Document Type
Conference Proceeding
Publication Date
6-17-2014
Abstract
© 2014 Zhao et al.; licensee BioMed Central Ltd. Testing rare variants directly is possible with next-generation sequencing technology. In this article, we propose a sliding-window-based optimal-weighted approach to test for the effects of both rare and common variants across the whole genome. We measured the genetic association between a disease and a combination of variants of a single-nucleotide polymorphism window using the newly developed tests TOW and VW-TOW and performed a sliding-window technique to detect disease-susceptible windows. By applying the new approach to unrelated individuals of Genetic Analysis Workshop 18 on replicate 1 chromosome 3, we detected 3 highly susceptible windows across chromosome 3 for diastolic blood pressure and identified 10 of 48,176 windows as the most promising for both diastolic and systolic blood pressure. Seven of 9 top variants influencing diastolic blood pressure and 8 of 9 top variants influencing systolic blood pressure were found in or close to our top 10 windows.
Publication Title
BMC Proceedings
Recommended Citation
Zhao, X.,
Sha, Q.,
Zhang, S.,
&
Wang, X.
(2014).
Testing optimally weighted combination of variants for hypertension.
BMC Proceedings,
8.
http://doi.org/10.1186/1753-6561-8-S1-S59
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/13018