Castilha, Fábio André; Monte, Aurenice Sampaio Irene; Fernandes, Paula Roquetti; Dantas, Paulo Moreira Silva; Filho, José Fernandes
December 2010
Acta Facultatis Educationis Physicae Universitatis Comenianae;Dec2010, Vol. 50 Issue 2, p5
Academic Journal
This study aims to create and validate a predictor model relating genetic traits of Down's syndrome (DS) mothers, and Non-Down's syndrome mothers. This descriptive and co-relational study used a sample of 30 DS mothers, and 30 Non-DS mothers. To identify the genetic predisposition, dermatoglyphic fingerprint analysis (1961) was used. All data was subscribed to two statistical protocols: in the first one, a regression analysis was used, followed by a discriminant analysis, utilizing a predictor model; the second one was based on methods designed to validate this model. The results turned out to the predictor equation Classif_DS = (0.293093 . mdsql2) - (0.19498 . mesdl2) - 1.08976, which is able to distinguish separately the two groups of women, and suggest that besides the older age of the mother the possibility of a woman to have a DS child can, also be related to their own dermatoglyphic patterns.


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