Whole Genome Analysis in Consanguineous Families Reveals New Loci for Speech Sound Disorder (SSD)

近亲家庭全基因组分析揭示言语障碍(SSD)的新基因位点

阅读:1

Abstract

Speech is the most common means of communication in humans. Any defect in accurate speech production ability results in the development of speech sound disorder (SSD), a condition that can significantly impair an individual's academic performance, social interactions, and relationships with peers and adults. This study investigated the genetic basis of SSD in three Pakistani families. We performed family-based genome-wide parametric linkage analysis and homozygosity mapping in three consanguineous families with SSD from the Punjab province of Pakistan. The Test for Assessment of Articulation and Phonology in Urdu (TAAPU) was used to analyze the speech articulation data and determine the Percentage Correct Consonants (PCC) score. The PCC score defined the affected and unaffected individuals in each family. Parametric linkage analysis revealed a linkage to chromosome 5 (5q21.3-5q23.1) with a significant logarithm of the odds (LOD) score of 3.13 in a Pakistani family with specific language impairment-97 (PKSLI-97) under an autosomal recessive mode of inheritance. The other two families showed a suggestive linkage at 6p22.1, 14q12, and 16q12.1 under the recessive mode of inheritance. Interestingly, homozygosity mapping showed a loss of heterozygosity in the linkage region at 5q15-5q23.1, shared among seven affected (mostly in the younger generation) and one unaffected individual of PKSLI-97. Our analysis identified the 6p22 locus previously implicated in dyslexia, childhood apraxia of speech (CAS), and language impairment, confirming the role of KIAA0319 and DCDC2 in this locus. These findings provide statistical evidence for the genomic regions associated with articulation disorder and offer future opportunities to further the role of genes in speech production.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。