Literature DB >> 34191836

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.

Dan Dediu1.   

Abstract

While it is generally accepted that language and speech have genetic foundations, and that the widespread inter-individual variation observed in many of their aspects is partly driven by variation in genes, it is much less clear if differences between languages may also be partly rooted in our genes. One such proposal is that the population frequencies of the so-called "derived" alleles of two genes involved in brain growth and development, ASPM and Microcephalin, are related to the probability of speaking a tone language or not. The original study introducing this proposal used a cross-linguistic statistical approach, showing that these associations are "special" when compared with many other possible relationships between genetic variants and linguistic features. Recent experimental evidence supports strongly a negative effect of the "derived" allele of ASPM on tone perception and/or processing within individuals, but failed to find any effect for Microcephalin. Motivated by these experimental findings, I conduct here a cross-linguistic statistical test, using a larger and updated dataset of 175 samples from 129 unique (meta)populations, and a battery of methods including mixed-effects regression (Bayesian and maximum-likelihood), mediation and path analysis, decision trees and random forests, using permutations and restricted sampling to control for the confounding effects of genealogy (language families) and contact (macroareas). Overall, the results support a negative weak effect of ASPM-D against the presence of tone above and beyond the strong confounding influences of genealogy and contact, but they suggest that the original association between tone and MCPH1 might have been a false positive, explained by differences between populations and languages within and outside Africa. Thus, these cross-linguistic population-scale statistical results are fully consonant with the inter-individual-level experimental results, and suggest that the observed linguistic diversity may be, at least in some cases, partly driven by genetic diversity.

Entities:  

Year:  2021        PMID: 34191836      PMCID: PMC8244921          DOI: 10.1371/journal.pone.0253546

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  45 in total

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Review 6.  What primary microcephaly can tell us about brain growth.

Authors:  James Cox; Andrew P Jackson; Jacquelyn Bond; Christopher G Woods
Journal:  Trends Mol Med       Date:  2006-07-10       Impact factor: 11.951

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Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

8.  Comment on papers by Evans et al. and Mekel-Bobrov et al. on Evidence for Positive Selection of MCPH1 and ASPM.

Authors:  Nicholas Timpson; Jon Heron; George Davey Smith; Wolfgang Enard
Journal:  Science       Date:  2007-08-24       Impact factor: 47.728

9.  Some structural aspects of language are more stable than others: a comparison of seven methods.

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Journal:  PLoS One       Date:  2013-01-28       Impact factor: 3.240

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

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Journal:  PLoS One       Date:  2013-08-14       Impact factor: 3.240

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