1980
DOI: 10.1002/ajpa.1330520117
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Components of racial variation in finger ridge‐counts

Abstract: Principal components analysis was used to evaluate finger ridge-count variability as an indicator of genetic relationships between populations. The analysis was carried out on American White, American Black and African Black samples, each including both sexes. Each individual is represented as a vecotr of 20 counts, a radial and an ulnar count for each digit. No assumptions were made prior to analysis concerning the number of meaningful components, and all were examined sequentially. The first five eigenvector… Show more

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Cited by 16 publications
(19 citation statements)
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“…In table 2 of Jantz and Hawkinson (1980), components 6 and 15 showed significant population differences. If the object of getting linear components is to exhibit large population differences, then the canonical variables of discriminant analysis are the best candidates; for they maximize inter-group differences.…”
Section: Correlations Between Rl3 and Other Countsmentioning
confidence: 95%
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“…In table 2 of Jantz and Hawkinson (1980), components 6 and 15 showed significant population differences. If the object of getting linear components is to exhibit large population differences, then the canonical variables of discriminant analysis are the best candidates; for they maximize inter-group differences.…”
Section: Correlations Between Rl3 and Other Countsmentioning
confidence: 95%
“…The need for a multivariate approach to finger ridge-counts and the advantages it offers, compared to the summary measures such as TFRC/ATFRC, in tracing population relationships at local and racial levels has been amply demonstrated (Knussmann 1967, Chopra 1971, Jantz and Owsley 1977, Jantz and Hawkinson 1979, 1980, Jantz, Hawkinson, Brehme and Hitzeroth 1982. Many of the above studies show interpopulation consistency in the components derived, within major racial/geographical stocks, suggesting biological validity of the underlying component structure obtained by principal component analysis.…”
Section: Introductionmentioning
confidence: 91%
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“…Applying principal component analysis to study racial and population dermatoglyphic variations, several authors (Roberts and Coope, 1975;Jantz and Owsley, 1977;Jantz, 1979;Roberts, 1979;Jantz and Hawkinson, 1980;Jantz and Chopra, 1983) emphasized convincingly the necessity of using 20 variables -the radial and ulnar counts of each of the ten fingers. Actually, entirely ignoring the lower ridge-count of each whorl, including the only value of each loop irrespective of its direction and summarizing the inclusive values of the ten fingers, the total ridge-count (TRC) is especially inappropriate when evaluating dermatogl phic asymmetry.…”
mentioning
confidence: 98%
“…In many studies on dermatoglyphic asymmetry, only one ridge-count is considered for each finger, namely the higher ridge-count of each whorl, and the only value of each loop irrespective of its direction. In order to evaluate dermatoglyphic asymmetry, the separate analyses of both the radial and ulnar counts finger-by-finger provide much more information, as has been shown by different authors (e.g., Jantz and Hawkinson, 1980;Jantz and Owsley, 1977;Karev, 1988;Roberts and Coope, 1975). Principal components analysis has further demonstrated differences between radial and ulnar sides of fingers (Roberts, 1979;Santos and Meier, 1990;Siervogel et al, 1978).…”
mentioning
confidence: 99%