Literature DB >> 26333400

Diversity of sickle cell trait in Jharkhand state in India: Is it the zone of contact between two geographically and ethnically distinct populations in India?

Rachana Nagar1, Rajiva Raman.   

Abstract

Incidence of sickle cell trait in India is high in peninsular south, south-eastern, central and south-western India, while in north and north-eastern India, it is absent. Unicentric origin of SCD in the tribals of nilgiri hills in southern India has been proposed. The present study on the frequency of HbS trait and beta-globin gene haplotypes was conducted in the tribal-rich states of Chhattisgarh and Jharkhand to get an insight into the uneven distribution of HbS in India. Jharkhand borders with the HbS-high Odisha and Chhattisgarh, and HbS-low UP, Bihar and Bengal. Cellulose acetate gel electrophoresis was performed on the collected blood samples, to detect sickle haemoglobin (HbS) followed by DNA analysis. HbS associated beta-gene haplotype was constructed for the samples positive for HbS and all the tribals by PCR-RFLP. Out of 805 (Chhattisgarh - 261, Jharkhand - 544; greater than 36 percent tribals) samples analysed HbS frequency was 13 percent in Chhattisgarh and 3.3 percent in Jharkhand. Within Jharkhand, frequencies varied considerably from 10 percent in Tatanagar to nil in Sahibganj. The Arab-India (AI) haplotype of beta-globin cluster occurred in low frequency, confined mainly to Chhattisgarh. The most abundant haplotype in all the populations was the East Asian, + - - - - - +, rare in HbS, mainly in Sahibganj in east Jharkhand, which lacked AI. Our results indicate that besides the heterozygote advantage againstmalaria, the uneven regional distribution of HbS trait is because of restricted movement of two different populations, Dravidian from the south and Tibeto-Burman from the east into the Indianmainland which failed tomeet, we conjecture, due to severe climatic conditions (deserts and heat) prevailing through parts of central India. Apparently, Jharkhand became a zone of contact between them in recent times.

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Year:  2015        PMID: 26333400     DOI: 10.1007/s12038-015-9541-5

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  15 in total

1.  Some atypical and rare sickle cell gene haplotypes in populations of Andhra Pradesh, India.

Authors:  Y Niranjan; G R Chandak; P Veerraju; L Singh
Journal:  Hum Biol       Date:  1999-06       Impact factor: 0.553

2.  Beta-globin gene cluster haplotypes linked to the betaS gene in western India.

Authors:  Malay B Mukherjee; Reema R Surve; Raman R Gangakhedkar; Kanjaksha Ghosh; Roshan B Colah; Dipika Mohanty
Journal:  Hemoglobin       Date:  2004-05       Impact factor: 0.849

Review 3.  Hemoglobinopathies among the Gond tribal groups of central India; interaction of alpha- and beta-thalassemia with beta chain variants.

Authors:  R B Gupta; R S Tiwary; P L Pande; F Kutlar; C Oner; R Oner; T H Huisman
Journal:  Hemoglobin       Date:  1991       Impact factor: 0.849

4.  Genetic epidemiology of the three predominant abnormal hemoglobins in India.

Authors:  R S Balgir
Journal:  J Assoc Physicians India       Date:  1996-01

5.  Effect of alpha-thalassemia on sickle-cell anemia linked to the Arab-Indian haplotype in India.

Authors:  M B Mukherjee; C Y Lu; R Ducrocq; R R Gangakhedkar; R B Colah; M D Kadam; D Mohanty; R L Nagel; R Krishnamoorthy
Journal:  Am J Hematol       Date:  1997-06       Impact factor: 10.047

6.  Haplotypes in tribal Indians bearing the sickle gene: evidence for the unicentric origin of the beta S mutation and the unicentric origin of the tribal populations of India.

Authors:  D Labie; R Srinivas; O Dunda; C Dode; C Lapoumeroulie; V Devi; S Devi; K Ramasami; J Elion; R Ducrocq
Journal:  Hum Biol       Date:  1989-08       Impact factor: 0.553

7.  Geographical survey of beta S-globin gene haplotypes: evidence for an independent Asian origin of the sickle-cell mutation.

Authors:  A E Kulozik; J S Wainscoat; G R Serjeant; B C Kar; B Al-Awamy; G J Essan; A G Falusi; S K Haque; A M Hilali; S Kate
Journal:  Am J Hum Genet       Date:  1986-08       Impact factor: 11.025

8.  Discriminant analysis of principal components: a new method for the analysis of genetically structured populations.

Authors:  Thibaut Jombart; Sébastien Devillard; François Balloux
Journal:  BMC Genet       Date:  2010-10-15       Impact factor: 2.797

9.  Haemoglobinopathies in eastern Indian states: a demographic evaluation.

Authors:  Rachana Nagar; Sujata Sinha; Rajiva Raman
Journal:  J Community Genet       Date:  2014-07-25

10.  RFLP haplotypes of beta-globin gene complex of beta-thalassemic chromosomes in Koreans.

Authors:  Young-Joon Lee; Sung Sup Park; Ji Yeon Kim; Han-Ik Cho
Journal:  J Korean Med Sci       Date:  2002-08       Impact factor: 2.153

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