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The use of measured genotype information in the analysis of quantitative phenotypes in man: Models and analytical methods
Open accessAbstract
Summary: Improved laboratory methods allow one to investigate the contribution of measured allelic variability at a locus physiologically involved in determining the expression of a quantitative trait. We present statistical methods that incorporate measured genotype information into the analysis of a quantitative phenotype that allows one simultaneously to detect and estimate the effects of a measured single locus and residual polygenic effects. Likelihoods are presented for the joint distribution of the quantitative phenotype and a measured genotype that are appropriate when the data are collected as a sample of unrelated individuals or as a sample of nuclear families. Application of this method to the analysis of serum cholesterol levels and the concentration of the group specific component (Gc) are presented. The analysis of the contribution of the common Gc polymorphism to the determination of quantitative variability in Gc using smaples of related and unrelated individuals presents, for the first time, the simultaneous estimation of the frequencies and the effects of the genotypes at a measured locus, and the contribution of residual unmeasured polygenes to phenotypic variability.
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Cited by
Genetic Dissection of Complex Traits
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Apolipoprotein E polymorphism and atherosclerosis.
Davignon, J., Gregg, R. E., & Sing, C. F. (1988) · Arteriosclerosis: An Official Journal of the American Heart Association, Inc. · doi:10.1161/01.atv.8.1.1 · Cited by 1,981
Self-citationLi, Y., Willer, C., Sanna, S., & Abecasis, G. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164242 · Cited by 990
Edenberg, H. J., Dick, D. M., Xuei, X., Tian, H., Almasy, L., Bauer, L. O., Crowe, R. R., Goate, A., Hesselbrock, V., Jones, K., et al. (2004) · The American Journal of Human Genetics · doi:10.1086/383283 · Cited by 655
Myers, R. H., Schaefer, E. J., Wilson, P. W. F., D'Agostino, R., Ordovas, J. M., Espino, A., Au, R., White, R. F., Knoefel, J. E., Cobb, J. L., et al. (1996) · Neurology · doi:10.1212/wnl.46.3.673 · Cited by 346
Metadata
- Authors
- BOERWINKLE, E., CHAKRABORTY, R., & SING, C. F.
- Venue
- Annals of Human Genetics
- Publisher
- Wiley
- Published
- 1986-05
- Volume
- 50
- Issue
- 2
- Pages
- 181-194
- ISSN
- 0003-4800 (ISSN-L)
- 1469-1809
- OpenAlex
- W2048578647
- Cited by
- 308
- References
- 1
- FWCI
- 5.64
- Type
- journal article
- Language
- en
- Open access
- green
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- BOERWINKLE, E., CHAKRABORTY, R., & SING, C. F. (1986). The use of measured genotype information in the analysis of quantitative phenotypes in man: Models and analytical methods. Annals of Human Genetics. https://doi.org/10.1111/j.1469-1809.1986.tb01037.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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