Literature DB >> 4029959

Genetic relationships between Indians and their neighboring populations.

A K Roychoudhury, M Nei.   

Abstract

Using gene frequency data for 18 protein and blood group loci, we studied the genetic relationships of four Indian subcontinent populations (peoples from Punjab, Gujarati, Andhra Pradesh, and Bangladesh) with their neighboring populations (Iranians, Afghans, Sinhalese in Sri Lanka, Nepalese, Bhutanese, Malays, Bataks in northern Sumatra, and Chinese). The results obtained indicate that the four Indian subcontinent populations and the Sinhalese are genetically closer to Iranians and Afghans (Caucasoid) than to the other neighboring Mongoloid populations. Genetic distance analysis shows a clear-cut dichotomy between the Caucasoid and Mongoloid populations.

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Year:  1985        PMID: 4029959     DOI: 10.1159/000153545

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  5 in total

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Authors:  Mikiko Soejima; Yoshiro Koda
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Authors:  Neluwa Liyanage Ruwan Indika; Dinesha Maduri Vidanapathirana; Hewa Warawitage Dilanthi; Grace Angeline Malarnangai Kularatnam; Nambage Dona Priyani Dhammika Chandrasiri; Eresha Jasinge
Journal:  BMC Med Genet       Date:  2019-05-24       Impact factor: 2.103

3.  Reconstructing Indian population history.

Authors:  David Reich; Kumarasamy Thangaraj; Nick Patterson; Alkes L Price; Lalji Singh
Journal:  Nature       Date:  2009-09-24       Impact factor: 49.962

4.  Sexual dimorphism in digital dermatoglyphic traits among Sinhalese people in Sri Lanka.

Authors:  Buddhika T B Wijerathne; Geetha K Rathnayake; Shamila C Adikari; Subashini Amarasinghe; Prasanna L Abhayarathna; Ajith S Jayasena
Journal:  J Physiol Anthropol       Date:  2013-12-30       Impact factor: 2.867

5.  Frequencies of poor metabolizer alleles of 12 pharmacogenomic actionable genes in Punjabi Sikhs of Indian Origin.

Authors:  Dharambir K Sanghera; Cynthia Bejar; Bishwa Sapkota; Gurpreet S Wander; Sarju Ralhan
Journal:  Sci Rep       Date:  2018-10-24       Impact factor: 4.379

  5 in total

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