Hostname: page-component-76fb5796d-2lccl Total loading time: 0 Render date: 2024-04-26T05:42:00.872Z Has data issue: false hasContentIssue false

The Offspring of Twins as Sampling Units in Pedigree Analysis of Congenital Anomalies

Published online by Cambridge University Press:  01 August 2014

Andrew A. Kramer*
Affiliation:
Department of Social and Preventive Medicine, State University of New York at Buffalo
Linda Corey
Affiliation:
Department of Human Genetics, Medical College of Virginia, Richmond
*
Department of Social and Preventive Medicine, 2211 Main Street, Buffalo, NY 14214, USA

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

A statistical model was developed to determine the likelihood of a twin kinship, that is, the offspring of a pair of monozygotic or dizygotic twins under three types of inheritance: sporadic, single locus fetal genetic, and single locus maternal genetic. Samples of 8,000 kinships were simulated for a discrete trait under various hypotheses, and the likelihood determined for each type of etiology. The results indicated that the pedigree analysis procedures formulated here could efficiently detect sporadic or single locus effects with a power approaching 100%, although the parameter estimates obtained were slightly biased. Further analyses revealed that the type of pedigree analysis formulated in this study was found to have equivalent power for equal or unequal frequencies of kinships by the sex and zygosity of the twin parent. It was suggested that further studies be carried out that included the twins and spouses in the likelihood equations, as well as tests of more sophisticated models.

Type
Research Article
Copyright
Copyright © The International Society for Twin Studies 1986

References

REFERENCES

1. Bjerkreim, I (1976): Congenital dislocation of the hip in Norway: A clinical-epidemiological study. Oslo City Hosp 26:7690.Google Scholar
2. Corey, LA, Winter, R, Eaves, LJ, Golden, W, Nance, WE (1980): In Melnik, M, Bixler, D, Shields, E (eds): Etiology of Cleft Lip and Palate. Alan R. Liss, Inc., New York.Google Scholar
3. Demenais, F, Elston, RC, Bonaiti, C, Briard, ML, Kaplan, EB, Namboordiri, KK (1981): Segregation of congenital glaucoma: Approach by two different models. Human Genet 33:300306.Google Scholar
4. Fleiss, JL (1981): Statistical Methods for Rates and Proportions. John Wiley and Sons, New York.Google Scholar
5. Go, RC, Elston, RC, Kaplan, EB (1978): Efficiency and robustness of pedigree segregation data. Am J Hum Genet 30:2837.Google Scholar
6. Hogg, RV, Craig, AT (1968): Introduction to Mathematical Statistics. MacMillian Co., New York.Google Scholar
7. Kleinbaum, DG, Kupper, LL, Chambless, LE (1982): Logistic regression analysis of epidemiologic data: Theory and practice. Communications in Statistical Theory and Methodology II: 485547.CrossRefGoogle Scholar
8. Lalouel, JM, Morton, NE, Jackson, J (1979): Neural tube malformations: Segregation analysis and calculation of recurrence risks. J Med Genet 16:813.CrossRefGoogle ScholarPubMed
9. Lalouel, JM, Morton, NE, MacLean, CJ, Jackson J (1977): Recurrence risks in complex inheritance with special regard to pyloric stenosis. J Med Genet 14:408414.CrossRefGoogle ScholarPubMed
10. MacLean, CJ, Morton, NE, Lew, R (1975): Analysis of family resemblance IV: Operational characteristics of segregation analysis. Am J Hum Genet 27:365384.Google Scholar
11. Nance, WE, Corey, LA: Genetic models for the analysis of data from the families of identical twins. Genetics, 83:811826.CrossRefGoogle Scholar
12. Neter, J, Wasserman, W (1974): Applied Linear Statistical Models. Richard D. Irwin, Inc., Homewood, IL.Google Scholar
13. Winter, RM, Golden, WE, Nance, WE, Eaves, LJ (1978): A halfsib model for the analysis of qualitative traits. Am J Hum Genet 30:129A.Google Scholar