Literature DB >> 21232445

What do languages tell us about human microevolution?

G Barbujani1.   

Abstract

Analysis of cultural traits, especially from linguistic data, is increasingly being used to interpret gene-frequency variation among human populations. Evolutionary processes are inferred using two major approaches, one based on reconstruction of demographic events in time, and the other based on location of factors of evolutionary relevance in space. This review discusses some assumptions underlying these approaches, and suggests that they may lead to different, although not incompatible, conclusions.
Copyright © 1991. Published by Elsevier Ltd.

Entities:  

Year:  1991        PMID: 21232445     DOI: 10.1016/0169-5347(91)90056-4

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  5 in total

1.  Recent male-mediated gene flow over a linguistic barrier in Iberia, suggested by analysis of a Y-chromosomal DNA polymorphism.

Authors:  M E Hurles; R Veitia; E Arroyo; M Armenteros; J Bertranpetit; A Pérez-Lezaun; E Bosch; M Shlumukova; A Cambon-Thomsen; K McElreavey; A López De Munain; A Röhl; I J Wilson; L Singh; A Pandya; F R Santos; C Tyler-Smith; M A Jobling
Journal:  Am J Hum Genet       Date:  1999-11       Impact factor: 11.025

2.  A statistical test of hypotheses on the organization and origin of the genetic code.

Authors:  E Szathmáry; E Zintzaras
Journal:  J Mol Evol       Date:  1992-09       Impact factor: 2.395

3.  Population genetics of STR loci in Caucasians.

Authors:  D J Balding; M Greenhalgh; R A Nichols
Journal:  Int J Legal Med       Date:  1996       Impact factor: 2.686

4.  Reassessment of global gene-language coevolution.

Authors:  Keith Hunley
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-09       Impact factor: 11.205

5.  Y-chromosomal diversity in Europe is clinal and influenced primarily by geography, rather than by language.

Authors:  Z H Rosser; T Zerjal; M E Hurles; M Adojaan; D Alavantic; A Amorim; W Amos; M Armenteros; E Arroyo; G Barbujani; G Beckman; L Beckman; J Bertranpetit; E Bosch; D G Bradley; G Brede; G Cooper; H B Côrte-Real; P de Knijff; R Decorte; Y E Dubrova; O Evgrafov; A Gilissen; S Glisic; M Gölge; E W Hill; A Jeziorowska; L Kalaydjieva; M Kayser; T Kivisild; S A Kravchenko; A Krumina; V Kucinskas; J Lavinha; L A Livshits; P Malaspina; S Maria; K McElreavey; T A Meitinger; A V Mikelsaar; R J Mitchell; K Nafa; J Nicholson; S Nørby; A Pandya; J Parik; P C Patsalis; L Pereira; B Peterlin; G Pielberg; M J Prata; C Previderé; L Roewer; S Rootsi; D C Rubinsztein; J Saillard; F R Santos; G Stefanescu; B C Sykes; A Tolun; R Villems; C Tyler-Smith; M A Jobling
Journal:  Am J Hum Genet       Date:  2000-11-09       Impact factor: 11.043

  5 in total

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