TY - JOUR AU - Buil, Alfonso AU - Dyer, Thomas D. AU - Almasy, Laura AU - Blangero, John PY - 2005 DA - 2005/12/30 TI - Smoothing of the bivariate LOD score for non-normal quantitative traits JO - BMC Genetics SP - S111 VL - 6 IS - 1 AB - Variance component analysis provides an efficient method for performing linkage analysis for quantitative traits. However, type I error of variance components-based likelihood ratio testing may be affected when phenotypic data are non-normally distributed (especially with high values of kurtosis). This results in inflated LOD scores when the normality assumption does not hold. Even though different solutions have been proposed to deal with this problem with univariate phenotypes, little work has been done in the multivariate case. We present an empirical approach to adjust the inflated LOD scores obtained from a bivariate phenotype that violates the assumption of normality. SN - 1471-2156 UR - https://doi.org/10.1186/1471-2156-6-S1-S111 DO - 10.1186/1471-2156-6-S1-S111 ID - Buil2005 ER -