A unified method for detecting secondary trait associations with rare variants: application to sequence data.
Next-generation sequencing has made possible the detection of rare variant (RV) associations with quantitative traits (QT). Due to high sequencing cost, many studies can only sequence a modest number of selected samples with extreme QT. Therefore association testing in individual studies can be unde...
Main Authors: | Dajiang J Liu, Suzanne M Leal |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2012-01-01
|
Series: | PLoS Genetics |
Online Access: | http://europepmc.org/articles/PMC3499373?pdf=render |
Similar Items
-
A novel adaptive method for the analysis of next-generation sequencing data to detect complex trait associations with rare variants due to gene main effects and interactions.
by: Dajiang J Liu, et al.
Published: (2010-10-01) -
Discovery of rare variants via sequencing: implications for the design of complex trait association studies.
by: Bingshan Li, et al.
Published: (2009-05-01) -
Association detection between multiple traits and rare variants based on family data via a nonparametric method
by: Jinling Chi, et al.
Published: (2023-09-01) -
Common or rare variants for complex traits?
by: Munafò, MR, et al.
Published: (2014) -
The power of regional heritability analysis for rare and common variant detection: simulations and application to eye biometrical traits
by: Yoshinobu eUemoto, et al.
Published: (2013-11-01)