Two-locus and bivariate segregation analysis of HDL-C and apo AI
Related Experiment Video
Updated: Nov 8, 2026

Isolation and Analysis of Plasma Lipoproteins by Ultracentrifugation
Published on: January 28, 2021
J F Xu1, V L Prenger, J Coresh
1Department of Epidemiology, School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD 21205.
Abstract:
Two-locus and bivariate segregation analyses of HDL-C and apo AI were carried out using the GAW8 Berkeley data set. For HDL-C, results are ambiguous. Both the mixed environmental model and the mixed Mendelian model fit the data equally well. For apo AI, however, univariate one-locus segregation analysis suggests a Mendelian major gene controlling its levels. Moreover, two-locus analysis suggests a second major gene is involved. Bivariate segregation analysis indicates these data cannot resolve the question as to whether a single Mendelian major gene with pleiotropic effects controls levels of both HDL-C and apo AI in humans.
Related Concept Videos
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
Test for Homogeneity
Genetic Lingo
Epistasis Analysis
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Punnett Squares
