Literature DB >> 21615290

Are languages really independent from genes? If not, what would a genetic bias affecting language diversity look like?

Dan Dediu1.   

Abstract

It is generally accepted that the relationship between human genes and language is very complex and multifaceted. This has its roots in the “regular” complexity governing the interplay among genes and between genes and environment for most phenotypes, but with the added layer of supraontogenetic and supra-individual processes defining culture. At the coarsest level, focusing on the species, it is clear that human-specific--but not necessarily faculty-specific--genetic factors subtend our capacity for language and a currently very productive research program is aiming at uncovering them. At the other end of the spectrum, it is uncontroversial that individual-level variations in different aspects related to speech and language have an important genetic component and their discovery and detailed characterization have already started to revolutionize the way we think about human nature. However, at the intermediate, glossogenetic/population level, the relationship becomes controversial, partly due to deeply ingrained beliefs about language acquisition and universality and partly because of confusions with a different type of gene-languages correlation due to shared history. Nevertheless, conceptual, mathematical and computational models--and, recently, experimental evidence from artificial languages and songbirds--have repeatedly shown that genetic biases affecting the acquisition or processing of aspects of language and speech can be amplified by population-level intergenerational cultural processes and made manifest either as fixed “universal” properties of language or as structured linguistic diversity. Here, I review several such models as well as the recently proposed case of a causal relationship between the distribution of tone languages and two genes related to brain growth and development, ASPM and Microcephalin, and I discuss the relevance of such genetic biasing for language evolution, change, and diversity.

Entities:  

Mesh:

Year:  2011        PMID: 21615290     DOI: 10.3378/027.083.0208

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  11 in total

1.  Persistence and transmission of recessive deafness and sign language: new insights from village sign languages.

Authors:  Alessandro Gialluisi; Dan Dediu; Clyde Francks; Simon E Fisher
Journal:  Eur J Hum Genet       Date:  2013-01-16       Impact factor: 4.246

2.  Association between AVPR1A, DRD2, and ASPM and endophenotypes of communication disorders.

Authors:  Catherine M Stein; Barbara Truitt; Fenghua Deng; Allison Avrich Ciesla; Feiyou Qiu; Peronne Joseph; Rekha Raghavendra; Jeremy Fondran; Robert P Igo; Jessica Tag; Lisa Freebairn; H Gerry Taylor; Barbara A Lewis; Sudha K Iyengar
Journal:  Psychiatr Genet       Date:  2014-10       Impact factor: 2.458

Review 3.  Insights into the genetic foundations of human communication.

Authors:  Sarah A Graham; Pelagia Deriziotis; Simon E Fisher
Journal:  Neuropsychol Rev       Date:  2015-01-18       Impact factor: 7.444

4.  New Frontiers in Language Evolution and Development.

Authors:  D Kimbrough Oller; Rick Dale; Ulrike Griebel
Journal:  Top Cogn Sci       Date:  2016-04

5.  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

6.  Abstract profiles of structural stability point to universal tendencies, family-specific factors, and ancient connections between languages.

Authors:  Dan Dediu; Stephen C Levinson
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

7.  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

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

Authors:  Dan Dediu; Michael Cysouw
Journal:  PLoS One       Date:  2013-01-28       Impact factor: 3.240

9.  The Gender Gap in Second Language Acquisition: Gender Differences in the Acquisition of Dutch among Immigrants from 88 Countries with 49 Mother Tongues.

Authors:  Frans W P van der Slik; Roeland W N M van Hout; Job J Schepens
Journal:  PLoS One       Date:  2015-11-05       Impact factor: 3.240

10.  DCDC2 READ1 regulatory element: how temporal processing differences may shape language.

Authors:  Kevin Tang; Mellissa M C DeMille; Jan C Frijters; Jeffrey R Gruen
Journal:  Proc Biol Sci       Date:  2020-06-03       Impact factor: 5.349

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