title: Does accounting for mitochondrial genetic variation improve the fit of genetic models?
abstract: We describe a simple variance component model for estimating the effect of mitochondrial DNA (mtDNA) inheritance on quantitative trait variation. The model is applied to quantitative trait Q5 in the simulated general population data from Genetic Analysis Workshop (GAW) 12. Although the mitochondrial effect on Q5 is small (5.3%) and the power of the method to detect the effect is correspondingly low, analysis over the available population replicates demonstrates that the effect of maternal relatedness can be detected and estimated accurately.
authors.affiliation: Lifespan Health Research Center, Department of Community Health, Wright State University School of Medicine, 3171 Research Blvd., Kettering, OH 45420-4014, USA.
authors.forename: S A
authors.initials: SA
authors.lastname: Czerwinski
authors.forename: J T
authors.initials: JT
authors.lastname: Williams
authors.forename: E W
authors.initials: EW
authors.lastname: Demerath
authors.forename: B
authors.initials: B
authors.lastname: Towne
authors.forename: R M
authors.initials: RM
authors.lastname: Siervogel
authors.forename: J
authors.initials: J
authors.lastname: Blangero
mesh_terms: D000704:Analysis of Variance; D002874:Chromosome Mapping / Q000706:statistics & numerical data; D004272:DNA, Mitochondrial / Q000235:genetics*; D014644:Genetic Variation; D005828:Genetics, Population; D006801:Humans; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable
chemical_list: D004272:DNA, Mitochondrial