Penetrance rate estimation in autosomal dominant conditions
- PMID: 23055795
- PMCID: PMC3459406
- DOI: 10.1590/S1415-47572012005000051
Penetrance rate estimation in autosomal dominant conditions
Abstract
Accurate estimates of the penetrance rate of autosomal dominant conditions are important, among other issues, for optimizing recurrence risks in genetic counseling. The present work on penetrance rate estimation from pedigree data considers the following situations: 1) estimation of the penetrance rate K (brief review of the method); 2) construction of exact credible intervals for K estimates; 3) specificity and heterogeneity issues; 4) penetrance rate estimates obtained through molecular testing of families; 5) lack of information about the phenotype of the pedigree generator; 6) genealogies containing grouped parent-offspring information; 7) ascertainment issues responsible for the inflation of K estimates.
Keywords: genetic counseling; maximum likelihood method; penetrance rate; recurrence risks.
Figures
References
-
- Bronshtein I, Semendiaev K. Manual de Matemáticas para Ingenieros y Estudiantes. 2nd edition. Editorial Mir; Moscow: 1973. p. 694.
-
- Majewski F, Küster W, Haar B, Goecke T. Aplasia of tibia with split-hand/split-foot deformity. Report of six families with 35 cases and considerations about variability and penetrance. Hum Genet. 1985;70:136–147. - PubMed
-
- Murphy EA, Chase GA. Principles of Genetic Counseling. Year Book Medical Publishers; Chicago: 1975. p. 391.
Internet Resources
-
- Horimoto ARVR. Estimativa do valor da taxa de penetrância em doenças autossômicas dominantes: Estudo teórico de modelos e desenvolvimento de um programa computacional (Penetrance rate estimation in autosomal dominant diseases: theoretical study and development of a computer program) 2009. 2009. PhD Thesis, Instituto de Biociências, Universidade de São Paulo, São Paulo. http://www.teses.usp.br/teses/disponiveis/41/41131/tde-15102009-161545/ (April 16, 2012)
-
- Horimoto ARVR, Otto PA. Otto PA, editor. Penetrance rate estimation. Métodos Clásicos y Modernos para el Análisis de Datos en Genética Humana. 2008. pp. 123–150. EdUNaM, Posadas. http://www.ib.usp.br/~otto/pop_genetics.htm or http://www.lacygh.com.ar/abajo.htm (April 16, 2012).
-
- S.A.G.E. Statistical Analysis from Genetic Epidemiology. 2009. Release 6.0.1, http://darwin.cwru.edu/ (April 16, 2012).
-
- Sherrod PH. Non Linear Regression Analysis Program (NLREG) 2000. http://www.nlreg.com/ (April 16, 2012)
LinkOut - more resources
Full Text Sources
