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Structural Analysis of The Ridge Count data Of Australian Europeans Using Multivariate Analysis

Published online by Cambridge University Press:  01 August 2014

S. Singh*
Affiliation:
Medical Research Department, Kanematsu Memorial Institute, Sydney Hospital, Sydney, NSW, Australia
M. A. Aitkin
Affiliation:
School of Behavioural Sciences, Macquarie University, North Ryde, NSW, Australia
N. H. Westwood
Affiliation:
Division of Animal Production, Commonwealth Scientific and Industrial Research Organisation, North Ryde, NSW, Australia
*
Medical Research Department, Kanematsu Memorial Institute, Sydney Hospital, Sydney, Australia

Abstract

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Multivariate analyses are used to study the structural patterns of ridge counts of fingers. There is a significant difference between the ridge counts of two hands, chiefly due to the first and fourth fingers. There is asymmetry in the covariance matrix of the ridge counts. The correlations between fingers are significant and the decrease in correlation with increasing distance between fingers is not significant.

Type
Research Article
Copyright
Copyright © The International Society for Twin Studies 1977

References

REFERENCES

Aitkin, M.A. 1969. Some tests for correlation matrices. Biometrika, 56: 443446.Google Scholar
Anderson, T.W. 1958. Introduction to Multivariate Statistical Analysis. New York: Wiley.Google Scholar
Böök, J.A. 1957. Frequency distributions of total ridge counts in the Swedish population. Hereditas, 43: 381–9.Google Scholar
Da Cunha, A., Abreu, A. 1954. Impressoes digitals de Portugueses. Perceulagens de figuras, valores quantitatives e frequencia empericus des genes, V, R e W. Contrib. Estudo Antropol. Port., 5: 315.Google Scholar
Holt, S.B. 1951. The correlations between ridge counts on different fingers. Ann. Eugen., 16: 287297.Google Scholar
Holt, S.B. 1954. Genetics of dermal ridges: Bilateral asymmetry in finger ridge counts. Ann. Eugen., 18: 211231.Google Scholar
Holt, S.B. 1958. Genetics of dermal ridges: Relation between total ridge count and variability of counts from finger to finger. Ann. Hum. Genet., 22: 323339.Google Scholar
Holt, S.B. 1959. The correlations between ridge counts of different fingers estimated from a population sample. Ann. Hum. Genet., 23: 459460.Google Scholar
Holt, S.B. 1961. Inheritance of dermal ridge patterns. In Penrose, L.S. (ed.): Recent Advances in Human Genetics. London: Churchill.Google Scholar
Lamy, M., Frézal, J., De Gruchy, J., Kelly, J. 1956. Le nombre de dermatoglyphes dans un échantillon de jumeaux. Adv. Hum. Genet., 21: 374385.Google Scholar
Luu-Mau-Thanh, 1965. Etude des structures digitales de 6000 inculpés français par les empreintes digitales. Bull. Mem. Soc. Arith. Paris, 11:2338.Google Scholar
Mavalwala, J. 1968. Quantitative analysis of finger ridge counts of the Parsi community in India. Ann. Hum. Genet., 26: 305313.Google Scholar
Parsons, P.A. 1964. Finger print pattern variability. Acta Genet. (Basel), 14: 201211.Google Scholar
Penrose, L.S. 1969. Effects of additive genes at many loci compared with those of a set of alleles at one locus in parent-child and sib-sib correlations. Ann. Hum. Genet., 33: 1522.Google Scholar
Singh, S. 1967. Quantitative analysis of finger ridge counts in Australian of European ancestry. Hum. Biol., 39: 368373.Google Scholar
Singh, S. 1968. A measure of asymmetry in finger ridge counts. Acta Genet. (Basel), 18: 599605.Google Scholar