K
Kailash C. Malhotra
Researcher at Indian Statistical Institute
Publications - 75
Citations - 1079
Kailash C. Malhotra is an academic researcher from Indian Statistical Institute. The author has contributed to research in topics: Population & Dermatoglyphics. The author has an hindex of 20, co-authored 75 publications receiving 1058 citations. Previous affiliations of Kailash C. Malhotra include University of Hamburg & Savitribai Phule Pune University.
Papers
More filters
Journal ArticleDOI
Genetic polymorphism analysis among nine endogamous population groups of Maharashtra, India
TL;DR: Results of analysis of 14 genetic marker systems studied on a number of subjects of 9 endogamous groups of Maharashtra reveal considerable heterogeneity for most of the loci among these groups.
Journal ArticleDOI
Genetic heterogeneity and population structure in eastern India: red cell enzyme variability in ten Assamese populations.
TL;DR: From distance analysis two major clusters with sub-clusters in each are visible, which are in conformity with the ethnohistory of these populations, and appear to be statistically significant.
Journal ArticleDOI
Four Types of Genetic Variants of LDH Found in India
TL;DR: The four types of genetic variants of lactate dehydrogenase (LDH) found so far in the Indian populations surveyed by starch-gel electrophoresis of haemolysates are described, pointing out their characteristic features.
Journal ArticleDOI
Incidence of colourblindness among four endogamous nomadic groups: an example of natural selection
TL;DR: The findings support the differential selection hypothesis for this loci of Post (1962) and Pickford (1963) and the implications of the loss of the colourblind gene has been discussed in the light of nomadic way of the Nandiwallas, and also of their small effective population sizes.
Journal ArticleDOI
Genetic Significance of the relationship between absolute total finger ridge count and its variability
B. M. Reddy,Kailash C. Malhotra +1 more
TL;DR: Regression analysis showed that both the standard deviation and the coefficient of variation are significantly related to mean ATFRC, and about 35% of the variation in ATFRC is explained by the dependent variable coefficent of variation.