A critical review of data on opportunity for natural selection among the Indian populations has been made. These data on 96 populations were analysed according to regional, habitat, and socioeconomic backgrounds. The trends observed on the basis of these Indian data have been compared with worldwide data and data from industrialized nations. As in the industrialized nations, a gradual decrease in I(m) and I(t) is observed with improving socioeconomic and technological status in the Indian populations. The Indian situation is similar to that of the first phase in the modern demographic transition among the industrialized nations.

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Although fingerprints and handprints are widely used in criminology, it is only recently that this approach has been applied to the field of medical and genetic diagnoses. In order to investigate dermatoglyphics in Type 1 diabetes mellitus, quantitative characteristics of fingers and palms (ridge count and main line indices) as well as qualitative parameters such as digital and interdigital patterns, the position of the palmar axial triradii and main line courses were analysed in 88 male and 108 female Type 1 diabetic patients and compared with data from 100 male and 99 female normal controls. Type 1 diabetic patients show a lower third finger ridge count (p < 0.05) and a-b ridge count (p < 0.001) and higher transversality of the main lines as indicated by the main line index value (p < 0.001) or the ending of the main line A in a specific sector 5, 5', and 5" (p < 0.001) compared with controls. In addition, diabetic patients show higher frequency of palmar axial t' and t" triradii (p < 0.001) and a lower frequency of 'true' patterns in the fourth interdigital and thenar area (p < 0.001) than controls. By multivariate analysis of quantitative and qualitative variables a predictive value of 78.6% and 77.3%, respectively, for male, and 81.4% and 82.2%, respectively, for female Type 1 diabetic patients was found. In conclusion, dermatoglyphics seem to be an interesting tool for genetic studies related to Type 1 diabetes.

Use of dermatoglyphics in population studies has been marked by a great deal of methodological variation among investigators. We compare various dermatoglyphic approaches using data derived from four groups in the Kumaon region of India. Dermatoglyphic data included ridge-counts and other quantitative variables, and the classification systems of Cummins and Midlo and Penrose and Loesch. Results were evaluated against anthropometric and serological relationships. No clearly superior approach emerges, although it is generally true that palmar variables exhibit more intergroup heterogeneity than digital variables and produce more reasonable results than the other approaches. The conventional method of treating ridge-counts, that of choosing the larger of the two counts, was the most unsatisfactory of the quantitative approaches, leading to the recommendation that both radial and ulnar counts be retained. We conclude that environmental variation may contribute substantially to intergroup variation.

Two hair histological variables, the incidence of medullation and diameter, have been dealt with in twelve populations belonging to different ethnic groups and living in different geographical areas. Results of the F test comparing within-individual variance, between-individual variance and between-population variance of the hair variables concerned indicate that differentiation of various populations is possible. Sex differences for medulla and diameter of hair are observed in some populations included in the present study.