The impact of energy intake and energy expenditure of activity on the familial transmission of adiposity in an indian population

Mode of inheritance of finger dermatoglyphic traits among Vaidyas of West Bengal, India

BACKGROUND

It is well established that dermatoglyphics are genetically determined. But, to date, few studies have given attention to the inheritance pattern of dermatoglyphics. Furthermore, despite the existence of different advanced statistical packages, none of these previous studies implemented a model-fitting technique to reveal the mode of inheritance. Thus, the genetic nature of dermatoglyphics is still not clear.

AIM

In the present communication, an attempt has been made to provide some information regarding the genetics of finger dermatoglyphics by estimating the magnitude and mode of inheritance of these traits.

SUBJECTS AND METHODS

The fingerprints of 824 individuals from 200 families including two generations were collected from Barasat in North 24-Parganas, West Bengal. The study includes familial correlations between first-degree relatives and corresponding heritabilities. In the final stage, segregation analyses by the Pedigree Analysis Package (PAP) were conducted on these data to understand the mode of inheritance.

RESULTS

The major findings indicated the following: (a) Familial correlations in all possible relationships (except spouse correlation) were statistically significant and of comparable magnitude. (b) The corresponding heritabilities were in the range between 59% for Pattern Intensity Index (PII) and 77% for Total Finger Ridge Count (TFRC). These estimates were in agreement with previously published data on this subject. (c) By segregation analysis, the 'Sporadic', 'Environmental', 'No major gene effect' as well as 'No polygenic component' models were strongly rejected (p < 0.05) and the hypothesis of a major gene's (MG) influence on all studied traits was accepted, though the proportion of MG variance was low. (d) The Most Parsimonious Mendelian model clearly indicated the contribution of a major gene with dominant (for PII) and additive (for two ridge counts) effects.

CONCLUSION

The present report supports the evidence of the existence of a major gene on these dermatoglyphic traits and the transmission of this effect is consistent with Mendelian expectation.

Association of overall and abdominal obesity with coronary heart disease risk factors: comparison between urban and rural Indian men

The relationship of body mass index (BMI), conicity index (CI) and waist circumference to four coronary heart disease (CHD) risk factors (systolic and diastolic blood pressures, total cholesterol and high-density lipoprotein (HDL) cholesterol levels) was examined in urban (n = 110) and rural (n = 102) men aged > or = 20 years, drawn from the 'Reddy' population of Southern Andhra Pradesh, India. Using ANCOVA we found significant difference (< 0.01) for systolic blood pressure, total cholesterol and HDL cholesterol between the urban and rural samples. The Pearson's correlation coefficients suggest that BMI and waist circumference had significant relationships with most of the risk factors in both the populations. The CI did not significantly influence any of the risk factors in the urban population; however, in the rural population, CI did show a significant positive relationship with both of the blood pressures and with TC. Even after controlling for age, smoking and physical activity (partial correlations), the relations remained constant. In multiple linear regression, BMI showed significant positive association with systolic and diastolic blood pressures (<0.01) and HDL cholesterol (<0.05) in the rural population only. However, the Cl showed a significant association with HDL cholesterol, and waist circumference with total cholesterol and HDL cholesterol in the rural population. The results of the present study revealed that BMI and waist circumference had a greater influence on the CHD risk factors, and that the influence was more conspicuous in the rural sample. Comparing the association of abdominal obesity measures (CI and waist circumference) with CHD risk factors, waist circumference better correlated with most of the risk factors. Hence the present study suggests that BMI and waist circumference are better indicators of CHD risk factors. However, the importance of Cl has to be further studied in South Asian populations.