The power of the classical twin study to resolve variation in threshold traits

Behavior Genetics - Tập 24 - Trang 239-258 - 1994
Michael C. Neale1, Lindon J. Eaves2, Kenneth S. Kendler1,2
1Department of Psychiatry, Medical College of Virginia, Richmond
2Department of Human Genetics, Medical College of Virgima, Richmond

Tóm tắt

We explore the power of the twin study to resolve sources of familial resemblance when the data are measured at the binary or ordinal level. Four components of variance were examined: additive genetic, nonadditive genetic, and common and specific environment. Curves are presented to compare the power of the continuous case with those of threshold models corresponding to different prevalences in the population: 1, 5, 10, 25, and 50%. Approximately three times the sample size is needed for equivalent power to the continuous case when the threshold is at the optimal 50%, and this ratio increases to about 10 times when 10% are above threshold. Some power may be recovered by subdividing those above threshold to form three or more ordered classes, but power is determined largely by the lowest threshold. Non-random ascertainment of twins (i) through affected twins and examining their cotwins or (ii) through ascertainment of all pairs in which at least one twin is affected increases power. In most cases, strategy i is more efficient than strategy ii. Though powerful for the rarer disorders, these methods suffer the disadvantage that they rely on prior knowledge of the population prevalence. Furthermore, sampling from hospital cases may introduce biases, reducing their value. A useful approach may be to assess the population with a screening instrument; the power calculations indicate that sampling all concordant and half of the discordant pairs would be efficient, as along as the cost of screening is not too high.

Tài liệu tham khảo

Eaves, L. J. (1969). The genetic analysis of continuous variation: A comparison of experimental designs applicable to human data.Br. J. Math. Stat. Psychol. 22:131–147.

IMSL (1987).IMSL User's Manual. Version 1.0, IMSL, Inc., Houston, TX.

Jöreskog, K. G., and Sörbom, D. (1993).New Features in PRELIS 2, Chicago: Scientific Software International.

Kendler, K. S., Neale, M. C., Kessler, R. C., Heath, A. C., and Eaves, L. J. (1993a). A longitudinal study of one-year prevalence of major depression in women.Arch. Gen. Psychiat. 50:853–862.

NAG (1990).The NAG Fortran Library Manual, Mark 14, Numerical Algorithms Group, Oxford.

Neale, M. C. (1991).Mx: Statistical Modeling, Department of Human Genetics, Medical College of Virginia, Richmond.

Neale, M. C., Rushton, J. P., and Fulker, D. W. (1986). The heritability of items from the eysenck personality questionnaire.Personal. Indiv. Diff. 7:771–779.

Neale, M. C., Hewitt, J. K., Heath, A. C., and Eaves, L. J. (1989). The power of multivariate and categorical twin studies. Presented at the 6th International Congress of Twin Studies, Rome.

Pearson, E. S., and Hartley, H. O. (1972).Biometrika Tables for Statistians, Vol. 2, Cambridge University Press, Cambridge.

Pickens, R. W., Svikis, D. S., McGue, M., Lykken, D. T., Heston, L. L., and Clayton, P. J. (1991). Heterogeneity in the inheritance of alcoholism: A study of male and female twins.Arch. Gen. Psychiat. 48:19–28.

SAS (1988),SAS/STAT User's Guide: Release 6.03, SAS Institute, Cary, NC.

Sham, P., Neale, M. C., and Walters, E. (1994). Comparison of logistic regression and other methods for the analysis of binary data (submitted for publication).