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B N Mukherjee

Publications and source records attributed to B N Mukherjee.

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Genetic heterogeneity and population structure in north-west India.

Genetic markers consisting of 11 blood group and red cell enzyme systems were investigated in 14 endogamous groups of north-west India. Genetic differentiation among the samples as indicated by FST is appreciable, reflecting the ethnic diversity characteristic of this region. Local variation within each state is lower, indicating a geographical component to the total variation. This variation is refined by calculations of genetic distances, which show that the tribals and low-caste groups are closer together but well separated from high-caste Brahmins and other non-tribal middle castes. There is a slight possibility of disruptive selection, but the analyses suggest that the differences in genetic structure in north-west India are more likely to be due to their breeding structure, differential migration and ethnic affiliation.

Alleles↗

Immunoglobulin (Gm and Km) allotypes in nine endogamous groups of West Bengal, India.

Blood samples from 898 individuals of nine endogamous groups of West Bengal, India were typed for determining the haplotypic structure in the gamma-light chain (Gm) and kappa-light chain (Km) of immunoglobulin (IgG). The Gm haplotype frequencies detected by Glm (1), Glm (2) and G3m (5) markers suggest that in this eastern state of India there is considerable variation of frequencies of the typical Mongoloid haplotype Gm1,5, which shows a high incidence in Rajbanshi, Rabha, Garo and Lodha groups. On the contrary, this haplotype is probably absent in the high caste groups, Rarhi Brahmin and Vaidya, and is relatively infrequent in Jalia Kaibarta, a scheduled caste of the south-western part of the state. The Km1 allele is also high in frequency among Rajbanshi, Rabha, Garo and Munda in comparison with Rarhi Brahmin and Vaidya, suggesting the former four groups' strong Mongoloid affiliation. This survey signifies that there is considerable variation in the extent of Mongoloid admixture in Bengali populations. Such admixture is not restricted in specific social class either. It further demonstrates that heterogeneity of the genetic structure of Bengali populations do not correspond to the present social ranking on the basis of caste hierarchy.

Asian People↗

Genetic differentiation among four groups of fishermen of the eastern coast, India.

The four endogamous groups of fishermen living around the city of Puri, located on the eastern coast of India, were studied for blood groups, red cell enzymes and serum proteins (11 loci). Only 1.3% of the total diversity among the groups studied is due to differences between them (GST = 0.013). The genetic distances between populations were estimated using Edwards and Cavalli-Sforza's method. The pattern of genetic distance reflects the geographical distribution of these groups. In general, these observations support the patterns of variation based on anthropometric and dermatoglyphic variables.

Adolescent↗

A study of digit preference and quality of age data in Turkish censuses.

The authors study digit preference and the quality of age data in the 1945, 1955, and 1970 censuses of Turkey. "Using the age distributions in successive censuses and particular cohort groups as well as the analysis of stable population, severe misreporting of certain ages was found. The...age data seem to be influenced substantially by both response errors and coverage errors....[and] show heaping at ages ending in zero and five years. The pattern of heaping is pronounced from age 20 onwards and this is true both for males and females. Various analyses showed clear evidence of heaping in all the three censuses at the age group 40-44 years irrespective of sex. The magnitude of digit preference bias seems to be reducing with the passage of time. This is especially true in the case of females. The possibility of increased female literacy as a factor underlying this reduction is pointed out. Other implications of the results are discussed." (SUMMARY IN FRE AND ITA)

Age Factors↗