Literature DB >> 25130324

A genome-wide search for quantitative trait loci affecting the cortical surface area and thickness of Heschl's gyrus.

D-C Cai1, H Fonteijn, T Guadalupe, M Zwiers, K Wittfeld, A Teumer, M Hoogman, A Arias-Vásquez, Y Yang, J Buitelaar, G Fernández, H G Brunner, H van Bokhoven, B Franke, K Hegenscheid, G Homuth, S E Fisher, H J Grabe, C Francks, P Hagoort.   

Abstract

Heschl's gyrus (HG) is a core region of the auditory cortex whose morphology is highly variable across individuals. This variability has been linked to sound perception ability in both speech and music domains. Previous studies show that variations in morphological features of HG, such as cortical surface area and thickness, are heritable. To identify genetic variants that affect HG morphology, we conducted a genome-wide association scan (GWAS) meta-analysis in 3054 healthy individuals using HG surface area and thickness as quantitative traits. None of the single nucleotide polymorphisms (SNPs) showed association P values that would survive correction for multiple testing over the genome. The most significant association was found between right HG area and SNP rs72932726 close to gene DCBLD2 (3q12.1; P=2.77 × 10(-7) ). This SNP was also associated with other regions involved in speech processing. The SNP rs333332 within gene KALRN (3q21.2; P=2.27 × 10(-6) ) and rs143000161 near gene COBLL1 (2q24.3; P=2.40 × 10(-6) ) were associated with the area and thickness of left HG, respectively. Both genes are involved in the development of the nervous system. The SNP rs7062395 close to the X-linked deafness gene POU3F4 was associated with right HG thickness (Xq21.1; P=2.38 × 10(-6) ). This is the first molecular genetic analysis of variability in HG morphology.
© 2014 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

Entities:  

Keywords:  Auditory network; Heschl's gyrus; genetics; genome-wide association scan; language network; magnetic resonance imaging; speech processing; surface-based

Mesh:

Substances:

Year:  2014        PMID: 25130324     DOI: 10.1111/gbb.12157

Source DB:  PubMed          Journal:  Genes Brain Behav        ISSN: 1601-183X            Impact factor:   3.449


  16 in total

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