Genetic differentiation among four groups of fishermen of the Eastern coast, India

Reddy, B. Mohan; Chopra, Virendra P.; Rodewald, A.; Mukherjee, B. N.; Malhotra, K. C.

doi:10.1080/03014468900000452

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…At Puri, the population sizes of the three groups are about 8000, 4000 and 800 respectively. More details of these populations, including their demographic structures and biological variations, can be found in Reddy (1984), Reddy, Chopra and Mukherjee (1987), Reddy, Chopra, Karmakar and Malhotra (1988) and Reddy, Chopra, Rodewaldt, Mukherjee and Malhotra (1989). Finger ridge-count data on 676 individuals, both male and female, of these groups were utilized for the present study.…”

Section: Methodsmentioning

confidence: 99%

Principal component of finger ridge-counts: their universality

Krishnan

1992

Annals of Human Biology

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A principal component analysis was carried out on radial and ulnar finger ridge-count data on a sample of fishermen of the sea coast of Puri in the state of Orissa in India. The component structure is very similar to that obtained earlier by Roberts and Coope for some English populations, by Arrieta and Lostao for a Basque population, by Siervogel et al. for a White American population, by Jantz and Hawkinson, and Jantz et al. for American and African populations, and by other authors for other populations. The initial components are bilaterally symmetric and the structure of these components is the same whether the two sides are taken separately or together. Only the latter components represent a certain amount of bilateral asymmetry. The first component is a 'size' component, indicating total finger ridge-count; the second component is a radial-ulnar contrast. From a comparison with previous studies on other populations, it appears that the component structure corresponding to the larger eigenvalues is fairly universal; there is a certain lack of universality in the structure of the components corresponding to smaller eigenvalues as well as in the order of these components, especially the rotated ones, when the corresponding eigenvalues are very close. As observed by previous authors, components corresponding to larger eigenvalues do not necessarily exhibit larger inter-population differences. However, there is lack of universality in the order of the components and in the structure of the components that exhibit large inter-population differences.

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Section: Methodsmentioning

confidence: 99%

Principal component of finger ridge-counts: their universality

Krishnan

1992

Annals of Human Biology

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“…Twenty-four population groups have been included in this analysis. They are in Bihar, 19 the Brahmin (upper caste), Chamar (low caste), Santal (tribe), Bhuiya (tribe), and Muslim; in Orissa, 20 the Vadabalija (low caste, subdivided into two isolates at Penticotta and Vadapeta), Jalari (low caste), and Kevto (low caste); in West Bengal, 21 Poliya, Deshi, and Tiyor (all low caste and descendants of the Koch); in Assam, [22][23][24] Manipur, 25 Brahmin (upper caste) and Meitei (middle caste).…”

Section: Genetic Diversity and Affinities In Indiamentioning

confidence: 99%

People of India: Biological diversity and affinities

Majumder¹

1998

Evol. Anthropol.

151

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The Indian subcontinent comprises a vast collection of peoples with different morphological, genetic, cultural, and linguistic characteristics. While much of this variability is indigenous, a considerable fraction of it has been introduced through large‐scale immigrations into India in historical times. From an evolutionary standpoint, it is of immense interest to quantify biological diversity in contemporary human populations, to study biological affinities and to relate observed patterns of affinities with cultural, linguistic and demographic histories of populations. Such efforts are intended to shed light on the peopling of India. The purpose of this paper is to present a broad overview of the physical (anthropometric) and genetic diversities and affinities of the peoples of India. I shall also attempt to examine how well biological, particularly genetic, diversities and affinities correlate with geographical, socio‐cultural, and linguistic diversities and affinities. © 1998 Wiley‐Liss, Inc.

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“…Nevertheless, it is basically at this level of Mendelian units that the forces of evolution operate, and hence it is imperative to study microevolution among such populations. Many earlier attempts have been made to understand microdifferentiation among such populations using traditional markers as well as other biological variables (Karve and Malhotra 1968;Basu 1969;Malhotra 1978a and1978b;Malhotra et al 1978;Reddy et al 1987Reddy et al , 1989Reddy et al , 1995Murty et al 1993;Sirajuddin et al 1994;Ramana et al 1996). However, the resolving power of such markers is expected to be low and unreliable, especially at the level of endogamous subcastes.…”

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Genomic Diversity at Thirteen Short Tandem Repeat Loci in a Substructured Caste Population, Golla, of Southern Andhra Pradesh, India

Reddy¹,

Sun²,

Luis³

et al. 2001

Human Biology

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Genomic diversity based on 13 short tandem repeat (STR) loci was studied in seven population groups of a substructured Golla caste from Chittoor district in southern Andhra Pradesh, India. These groups are traditionally pastoral, culturally homogeneous, and strictly endogamous. Blood samples were drawn from 317 individuals from 30 Golla villages. The 13 STR loci analyzed in five standard multiplex polymerase chain reactions were: (1) CSF1R, TH01, and PLA2A; (2) F13A1, CYP19, and LPL; (3) D21S1446 and D21S1435; (4) D20S481, D20S473, and D20S604; and (5) D5S1453 and D6S1006. The average heterozygosity was found to be low among the Golla subgroups (0.64-0.70) in comparison to that of groups at the upper levels of the hierarchy. The coefficient of gene differentiation was found to be moderate (average G ST = 0.031; range between 0.018 and 0.049 among the loci) when compared to that observed for a similar class of markers among populations with relatively higher levels of hierarchy, for example, among castes. It is, however, much higher when compared to the average observed for Indian caste and tribal populations, based on classical markers. Genetic distance measures revealed clusters of populations that are consistent with the known ethnohistorical and geographical backgrounds of the groups. We claim that these hypervariable markers are quite useful in understanding the process of substructuring within the Indian castes, leading to the formation of smaller breeding isolates, the basic Mendelian units within which microevolutionary forces operate.One of the most remarkable features of the Indian population structure is its clear division into strictly defined endogamous groups. At the broadest level, the pop-

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Genetic differentiation among four groups of fishermen of the Eastern coast, India

Cited by 10 publications

References 22 publications

Principal component of finger ridge-counts: their universality

Principal component of finger ridge-counts: their universality

People of India: Biological diversity and affinities

Genomic Diversity at Thirteen Short Tandem Repeat Loci in a Substructured Caste Population, Golla, of Southern Andhra Pradesh, India

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