A simple bias correction in linear regression for quantitative trait association under two-tail extreme selection

Johnny S H Kwan; Annie W C Kung; Pak C Sham

doi:10.1007/s10519-011-9475-0

A simple bias correction in linear regression for quantitative trait association under two-tail extreme selection

Behav Genet. 2011 Sep;41(5):776-9. doi: 10.1007/s10519-011-9475-0. Epub 2011 May 29.

Authors

Johnny S H Kwan¹, Annie W C Kung, Pak C Sham

Affiliation

¹ Department of Psychiatry, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.

Abstract

Selective genotyping can increase power in quantitative trait association. One example of selective genotyping is two-tail extreme selection, but simple linear regression analysis gives a biased genetic effect estimate. Here, we present a simple correction for the bias.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Epistasis, Genetic
Genetics*
Genotype
Humans
Models, Genetic
Models, Statistical
Phenotype
Quantitative Trait, Heritable*
Regression Analysis
Reproducibility of Results