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Zygosity Test Based on Growth Measures: A Bayesian Approach

Published online by Cambridge University Press:  01 August 2014

C. Rossi ,
G. Brenci  and
R. Ziparo
C. Rossi*
Affiliation:
Department of Mathematics, II University of Rome
G. Brenci
Affiliation:
The Gregor Mendel Institute of Medical Genetics and Twin Research, Rome
R. Ziparo
Affiliation:
Institute of Physiology, University of Rome
*
The Mendel Institute, Piazza Galeno 5, 00161 Rome, Italy

Abstract

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A statistical index is proposed in order to determine twin zygosity based on weight and height measures and a Bayesian test of hypotheses. Some Roman twin data are analyzed on the basis of the Euclidean distance index, which appears to be the best for an easy calculation and for its genetic interpretation based on the formulation of genetic distance.

Keywords

Twin zygosityTwin concordanceBayesian approachGenetic distanceHeightWeight
Type
Short Note
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 30 , Issue 3 , July 1981 , pp. 217 - 222
Copyright
Copyright © The International Society for Twin Studies 1981

References

REFERENCES

1.De Finetti, B (1974): “Theory of Probability.” New York: John Wiley.Google Scholar
2.Leti, G (1979): “Distanze e Indici Statistici.” Rome: La Goliardica.Google Scholar
3.Wilson, RS (1979): Analysis of longitudinal twin data. Basic model and applications to physical growth measures. Acta Genet Med Gemellol 28:93–105.Google Scholar