Literature DB >> 28240421

ROBO1 polymorphisms, callosal connectivity, and reading skills.

Xiaochen Sun1, Shuang Song1, Xinyu Liang1, Yachao Xie1, Chenxi Zhao1, Yuping Zhang2, Hua Shu1, Gaolang Gong1.   

Abstract

The genetic effects on specific behavioral phenotypes are putatively mediated by specific neural functions. It remains unexplored how the axon-guidance-receptor gene ROBO1 influences reading performance through the neural system despite the identification of ROBO1 as a susceptibility gene for dyslexia. To address this issue, the present study recruited a group of children with a wide range of reading abilities. Two previously identified reading-related ROBO1 polymorphisms were genotyped, and diffusion and structural MRI were acquired to measure the fiber microstructure of the corpus callosum (CC), the major white-matter tract that connects inter-hemispheric cortical regions. The results confirmed the significant influence of the ROBO1 polymorphisms on reading scores. The fiber microstructures of the midline-CC segments around the genu and splenium were also affected by the ROBO1 polymorphisms. Moreover, a mediation analysis further revealed that the genu could significantly mediate the effects of the ROBO1 polymorphisms on word-list reading performance, which suggests a ROBO1-to-genu-to-reading pathway. The genu-linked cortical morphology, however, was not associated with either the ROBO1 polymorphisms or reading performance. These findings offer direct evidence supporting ROBO1-callosum association in humans and also provide valuable insight into the functions of ROBO1 and the gene-to-brain mechanisms that underlie human reading. Hum Brain Mapp 38:2616-2626, 2017.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  ROBO1; corpus callosum; diffusion MRI; mediator; reading

Mesh:

Substances:

Year:  2017        PMID: 28240421      PMCID: PMC6866921          DOI: 10.1002/hbm.23546

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  51 in total

1.  Microstructure of temporo-parietal white matter as a basis for reading ability: evidence from diffusion tensor magnetic resonance imaging.

Authors:  T Klingberg; M Hedehus; E Temple; T Salz; J D Gabrieli; M E Moseley; R A Poldrack
Journal:  Neuron       Date:  2000-02       Impact factor: 17.173

Review 2.  The neurological basis of developmental dyslexia: an overview and working hypothesis.

Authors:  M Habib
Journal:  Brain       Date:  2000-12       Impact factor: 13.501

Review 3.  Slit proteins: molecular guidance cues for cells ranging from neurons to leukocytes.

Authors:  Kit Wong; Hwan Tae Park; Jane Y Wu; Yi Rao
Journal:  Curr Opin Genet Dev       Date:  2002-10       Impact factor: 5.578

4.  Altered hemispheric lateralization of white matter pathways in developmental dyslexia: Evidence from spherical deconvolution tractography.

Authors:  Jingjing Zhao; Michel Thiebaut de Schotten; Irene Altarelli; Jessica Dubois; Franck Ramus
Journal:  Cortex       Date:  2016-01-14       Impact factor: 4.027

5.  Temporal-callosal pathway diffusivity predicts phonological skills in children.

Authors:  Robert F Dougherty; Michal Ben-Shachar; Gayle K Deutsch; Arvel Hernandez; Glenn R Fox; Brian A Wandell
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-04       Impact factor: 11.205

Review 6.  Using genetic data in cognitive neuroscience: from growing pains to genuine insights.

Authors:  Adam E Green; Marcus R Munafò; Colin G DeYoung; John A Fossella; Jin Fan; Jeremy R Gray
Journal:  Nat Rev Neurosci       Date:  2008-09       Impact factor: 34.870

7.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.

Authors:  Kristopher J Preacher; Andrew F Hayes
Journal:  Behav Res Methods       Date:  2008-08

8.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

Authors:  R W Cox
Journal:  Comput Biomed Res       Date:  1996-06

9.  Interhemispheric communication influences reading behavior.

Authors:  Lise Van der Haegen; Qing Cai; Michaël A Stevens; Marc Brysbaert
Journal:  J Cogn Neurosci       Date:  2013-05-06       Impact factor: 3.225

10.  Dyslexia and corpus callosum morphology.

Authors:  G W Hynd; J Hall; E S Novey; D Eliopulos; K Black; J J Gonzalez; J E Edmonds; C Riccio; M Cohen
Journal:  Arch Neurol       Date:  1995-01
View more
  7 in total

1.  A systematic review and meta-analysis of imaging genetics studies of specific reading disorder.

Authors:  Tina Thomas; Shiva Khalaf; Elena L Grigorenko
Journal:  Cogn Neuropsychol       Date:  2021-09-16       Impact factor: 3.750

2.  White matter network connectivity deficits in developmental dyslexia.

Authors:  Chenglin Lou; Xiting Duan; Irene Altarelli; John A Sweeney; Franck Ramus; Jingjing Zhao
Journal:  Hum Brain Mapp       Date:  2018-09-25       Impact factor: 5.038

3.  Do Genes Associated with Dyslexia of Chinese Characters Evolve Neutrally?

Authors:  Kumiko V Nishiyama; Yoko Satta; Jun Gojobori
Journal:  Genes (Basel)       Date:  2020-06-17       Impact factor: 4.096

4.  miR‑218 functions as a tumor suppressor gene in cervical cancer.

Authors:  Zhen Liu; Lin Mao; Linlin Wang; Hong Zhang; Xiaoxia Hu
Journal:  Mol Med Rep       Date:  2019-11-11       Impact factor: 2.952

5.  LncRNA-NONHSAT024778 promote the proliferation and invasion of chordoma cell by regulating miR-1290/Robo1 axis.

Authors:  Bin Wang; Kai Zhang; Sen Meng; Xiaofeng Shao; Zhangzhe Zhou; Haiqing Mao; Ziqiang Zhu; Hao Chen; Huilin Yang; Kangwu Chen
Journal:  Int J Biol Sci       Date:  2021-02-08       Impact factor: 6.580

6.  MicroRNA-32 and MicroRNA-548a Promote the Drug Sensitivity of Non-Small Cell Lung Cancer Cells to Cisplatin by Targeting ROBO1 and Inhibiting the Activation of Wnt/β-Catenin Axis.

Authors:  Jian Zheng; Xiaoxi Li; Cunwei Cai; Chengyu Hong; Bin Zhang
Journal:  Cancer Manag Res       Date:  2021-04-07       Impact factor: 3.989

7.  The Influence of Dyslexia Candidate Genes on Reading Skill in Old Age.

Authors:  Michelle Luciano; Alan J Gow; Alison Pattie; Timothy C Bates; Ian J Deary
Journal:  Behav Genet       Date:  2018-06-29       Impact factor: 2.805

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.