Abstract
We propose a method for efficient estimation of the additive genetic effect of the X chromosome with explicit modeling of eutherian-type dosage compensation. The theoretical derivation of the variance-components model for X-linked loci is reviewed in detail. We develop a model of dosage compensation that allows for both incomplete and heterogeneous lyonization, the existence of which is suggested by recent expression studies. Modeling this relationship, especially in the limit cases of complete or absent compensation, allows estimation of the X effect as a single parameter for ease of comparison to other sources of variance. We present simulation studies to estimate the power and computational efficiency of our proposed method.
Keywords
Dosage compensationVariance (accounting)Compensation (psychology)ChromosomeLimit (mathematics)EstimationMathematicsGenetic modelAdditive modelStatisticsX chromosomeBiologyEconometricsGeneticsComputer scienceEvolutionary biologyApplied mathematicsMathematical analysisPsychology
Affiliated Institutions
Related Publications
Bayesian Inference of Species Trees from Multilocus Data
Until recently, it has been common practice for a phylogenetic analysis to use a single gene sequence from a single individual organism as a proxy for an entire species. With te...
Bootstrap Methods: Another Look at the Jackknife
We discuss the following problem: given a random sample $\\mathbf{X} = (X_1, X_2, \\cdots, X_n)$ from an unknown probability distribution $F$, estimate the sampling distribution...
Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity
Abstract Two-stage least squares (TSLS) is widely used in econometrics to estimate parameters in systems of linear simultaneous equations and to solve problems of omitted-variab...
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We descri...
Generalized Collinearity Diagnostics
Abstract Working in the context of the linear model y = Xβ + ε, we generalize the concept of variance inflation as a measure of collinearity to a subset of parameters in β (deno...
Publication Info
- Year
- 2005
- Type
- article
- Volume
- 29
- Issue
- 4
- Pages
- 377-388
- Citations
- 23
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
23
OpenAlex
Cite This
Jack W. Kent,
Thomas D. Dyer,
John Blangero
(2005).
Estimating the additive genetic effect of the X chromosome.
Genetic Epidemiology
, 29
(4)
, 377-388.
https://doi.org/10.1002/gepi.20093
Identifiers
- DOI
- 10.1002/gepi.20093