Literature DB >> 18599088

The role of genetic biases in shaping the correlations between languages and genes.

Dan Dediu1.   

Abstract

It has recently been proposed [Dediu, D., Ladd, D.R., 2007. Linguistic tone is related to the population frequency of the adaptive haplogroups of two brain size genes, ASPM and Microcephalin. Proc. Natl Acad. Sci. USA 104(26), 10944-10949] that genetically coded linguistic biases can influence the trajectory of language change. However, the nature of such biases and the conditions under which they can become manifest have remained vague. The present paper explores computationally two plausible types of linguistic acquisition biases in a population of agents implementing realistic genetic, linguistic and demographic processes. One type of bias represents an innate asymmetric initial state (initial expectation bias) while the other an innate asymmetric facility of acquisition (rate of learning bias). It was found that only the second type of bias produces detectable effects on language through cultural transmission across generations and that such effects are produced even by weak biases present at low frequencies in the population. This suggests that learning preference asymmetries, very small at the individual level and not very frequent at the population level, can bias the trajectory of language change through the process of cultural transmission.

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Year:  2008        PMID: 18599088     DOI: 10.1016/j.jtbi.2008.05.028

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  A Bayesian phylogenetic approach to estimating the stability of linguistic features and the genetic biasing of tone.

Authors:  Dan Dediu
Journal:  Proc Biol Sci       Date:  2010-09-01       Impact factor: 5.349

2.  A transcription factor map as revealed by a genome-wide gene expression analysis of whole-blood mRNA transcriptome in multiple sclerosis.

Authors:  Carlos Riveros; Drew Mellor; Kaushal S Gandhi; Fiona C McKay; Mathew B Cox; Regina Berretta; S Yahya Vaezpour; Mario Inostroza-Ponta; Simon A Broadley; Robert N Heard; Stephen Vucic; Graeme J Stewart; David W Williams; Rodney J Scott; Jeanette Lechner-Scott; David R Booth; Pablo Moscato
Journal:  PLoS One       Date:  2010-12-01       Impact factor: 3.240

3.  Tone and genes: New cross-linguistic data and methods support the weak negative effect of the "derived" allele of ASPM on tone, but not of Microcephalin.

Authors:  Dan Dediu
Journal:  PLoS One       Date:  2021-06-30       Impact factor: 3.240

4.  Editorial: The Adaptive Value of Languages: Non-linguistic Causes of Language Diversity.

Authors:  Antonio Benítez-Burraco; Steven Moran
Journal:  Front Psychol       Date:  2018-09-28

5.  Linguistic diversity and traffic accidents: lessons from statistical studies of cultural traits.

Authors:  Seán Roberts; James Winters
Journal:  PLoS One       Date:  2013-08-14       Impact factor: 3.240

  5 in total

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