Tiled regression reduces type I error rates in tests of association of rare single nucleotide variants with non-normally distributed traits, compared with simple linear regression
- Resource Type
- Conference
- Authors
- Sung, Heejong; Sorant, Alexa J. M.; Sabourin, Jeremy A.; Schwantes-An, Tae-Hwi; Justice, Cristina M.; Bailey-Wilson, Joan E.; Wilson, Alexander F.
- Source
- 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on. :1336-1340 Nov, 2015
- Subject
- Bioengineering
Computing and Processing
Signal Processing and Analysis
Genomics
Bioinformatics
Software
Chlorine
type I error rate
tiled regression
minor allele frequency
non-normality
- Language
The effects of the minor allele frequency of single nucleotide variants and the degree of departure from normality of a quantitative trait on type I error rates were evaluated using Genetic Analysis Workshop 17 mini-exome sequence data. Four simulated traits were generated: standard normal and gamma distributed traits and two transformations of the gamma distributed trait by log10 and rank-based inverse normal functions. Tiled regression was compared with simple linear regression. Average type I error rates were obtained for minor allele frequency classes. The distribution of the type I error rate for tiled regression analysis followed a pattern similar to that of simple linear regression analysis, but with much lower type I error.