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Abstract
Based on pre-DNA racial/color methodology, clinical and pharmacological trials have
traditionally considered the different geographical regions of Brazil as being very
heterogeneous. We wished to ascertain how such diversity of regional color categories
correlated with ancestry. Using a panel of 40 validated ancestry-informative insertion-deletion
DNA polymorphisms we estimated individually the European, African and Amerindian ancestry
components of 934 self-categorized White, Brown or Black Brazilians from the four
most populous regions of the Country. We unraveled great ancestral diversity between
and within the different regions. Especially, color categories in the northern part
of Brazil diverged significantly in their ancestry proportions from their counterparts
in the southern part of the Country, indicating that diverse regional semantics were
being used in the self-classification as White, Brown or Black. To circumvent these
regional subjective differences in color perception, we estimated the general ancestry
proportions of each of the four regions in a form independent of color considerations.
For that, we multiplied the proportions of a given ancestry in a given color category
by the official census information about the proportion of that color category in
the specific region, to arrive at a “total ancestry” estimate. Once such a calculation
was performed, there emerged a much higher level of uniformity than previously expected.
In all regions studied, the European ancestry was predominant, with proportions ranging
from 60.6% in the Northeast to 77.7% in the South. We propose that the immigration
of six million Europeans to Brazil in the 19th and 20th centuries - a phenomenon described
and intended as the “whitening of Brazil” - is in large part responsible for dissipating
previous ancestry dissimilarities that reflected region-specific population histories.
These findings, of both clinical and sociological importance for Brazil, should also
be relevant to other countries with ancestrally admixed populations.
Skin color is one of the most conspicuous ways in which humans vary and has been widely used to define human races. Here we present new evidence indicating that variations in skin color are adaptive, and are related to the regulation of ultraviolet (UV) radiation penetration in the integument and its direct and indirect effects on fitness. Using remotely sensed data on UV radiation levels, hypotheses concerning the distribution of the skin colors of indigenous peoples relative to UV levels were tested quantitatively in this study for the first time. The major results of this study are: (1) skin reflectance is strongly correlated with absolute latitude and UV radiation levels. The highest correlation between skin reflectance and UV levels was observed at 545 nm, near the absorption maximum for oxyhemoglobin, suggesting that the main role of melanin pigmentation in humans is regulation of the effects of UV radiation on the contents of cutaneous blood vessels located in the dermis. (2) Predicted skin reflectances deviated little from observed values. (3) In all populations for which skin reflectance data were available for males and females, females were found to be lighter skinned than males. (4) The clinal gradation of skin coloration observed among indigenous peoples is correlated with UV radiation levels and represents a compromise solution to the conflicting physiological requirements of photoprotection and vitamin D synthesis. The earliest members of the hominid lineage probably had a mostly unpigmented or lightly pigmented integument covered with dark black hair, similar to that of the modern chimpanzee. The evolution of a naked, darkly pigmented integument occurred early in the evolution of the genus Homo. A dark epidermis protected sweat glands from UV-induced injury, thus insuring the integrity of somatic thermoregulation. Of greater significance to individual reproductive success was that highly melanized skin protected against UV-induced photolysis of folate (Branda & Eaton, 1978, Science201, 625-626; Jablonski, 1992, Proc. Australas. Soc. Hum. Biol.5, 455-462, 1999, Med. Hypotheses52, 581-582), a metabolite essential for normal development of the embryonic neural tube (Bower & Stanley, 1989, The Medical Journal of Australia150, 613-619; Medical Research Council Vitamin Research Group, 1991, The Lancet338, 31-37) and spermatogenesis (Cosentino et al., 1990, Proc. Natn. Acad. Sci. U.S.A.87, 1431-1435; Mathur et al., 1977, Fertility Sterility28, 1356-1360).As hominids migrated outside of the tropics, varying degrees of depigmentation evolved in order to permit UVB-induced synthesis of previtamin D(3). The lighter color of female skin may be required to permit synthesis of the relatively higher amounts of vitamin D(3)necessary during pregnancy and lactation. Skin coloration in humans is adaptive and labile. Skin pigmentation levels have changed more than once in human evolution. Because of this, skin coloration is of no value in determining phylogenetic relationships among modern human groups. Copyright 2000 Academic Press.
Correlation coefficients between biological measurements and clinical scales are often calculated in psychiatric research. Calculating numerous correlations increases the risk of a type I error, i.e., to erroneously conclude the presence of a significant correlation. To avoid this, the level of statistical significance of correlation coefficients should be adjusted. Threshold levels of significance for correlation coefficients were adjusted for multiple comparisons in a set of k correlation coefficients (k = 1, 5, 10, 20, 50, 100) by Bonferroni's correction. Significant correlation coefficients were then calculated according to sample size. The change in the threshold values of significance is larger when the number of correlations goes from 1 to 5 than when it goes from 50 to 100. A correlation coefficient, statistically significant at 5% when calculated alone, can be under the threshold level of significance when calculated even among a few other coefficients. Focusing on the most relevant variables or the use of multivariate statistics is advocated.
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