Testing optimally weighted combination of variants for hypertension Conference

Zhao, X, Sha, Q, Zhang, S et al. (2014). Testing optimally weighted combination of variants for hypertension . 8 10.1186/1753-6561-8-S1-S59

cited authors

  • Zhao, X; Sha, Q; Zhang, S; Wang, X

authors

abstract

  • 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 date

  • June 17, 2014

Digital Object Identifier (DOI)

volume

  • 8