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Testing Twin Means and Estimating Genetic Variance. Basic Methodology for the Analysis of Quantitative Twin Data

  • Joe C. Christian (a1)

Abstract

Twin methodology for the analysis of continuously distributed traits is presented as a guideline for initial steps in the analysis of twin data. Tests for heterogeneity of twin means and variances are reviewed along with estimates of genetic variance.

Analysis of twin data appears on the surface to be a rather simple task, but investigators may well be confused by the wealth of choices available for hypothesis testing. This paper is designed to help the less experienced investigator, with perhaps a modest amount of data, begin analysis with maximum attention to testing all testable assumptions of the twin model, and using recent examples of applications of the methods.

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Copyright

Corresponding author

Department of Medical Genetics, Indiana University School of Medicine, 1100 West Michigan Street, Indianapolis, IN 46202, USA

References

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6.Christian, JC, Uchida, IA (1976): Plasma cholesterol variation in monochorionic and dichorionic mono monozygotic twins (abstr). Excerpta Medica Int Cong Ser 397:28.
7.Christian, JC, Kang, KW, Norton, JA Jr (1977). Comparison of within-pair and among-component estimates of genetic variance from twin data. Am J Hum Genet 29:208210.
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9.Christian, JC (1978): The use of twin registers in the study of birth defects. In Summitt, RL, Bergsma, D (eds): “Cell Surface Factors, Immune Deficiencies, Twin Studies.” New York: Alan R. Liss for The National Foundation-March of Dimes. Birth Defects: Original Article Series XIV: 6A, pp 167178.
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