Literature DB >> 17203304

Evidence for epistasis between SLC6A4 and ITGB3 in autism etiology and in the determination of platelet serotonin levels.

Ana M Coutinho1, Inês Sousa, Madalena Martins, Catarina Correia, Teresa Morgadinho, Celeste Bento, Carla Marques, Assunção Ataíde, Teresa S Miguel, Jason H Moore, Guiomar Oliveira, Astrid M Vicente.   

Abstract

Autism is a neurodevelopmental disorder of unclear etiology. The consistent finding of platelet hyperserotonemia in a proportion of patients and its heritability within affected families suggest that genes involved in the serotonin system play a role in this disorder. The role in autism etiology of seven candidate genes in the serotonin metabolic and neurotransmission pathways and mapping to autism linkage regions (SLC6A4, HTR1A, HTR1D, HTR2A, HTR5A, TPH1 and ITGB3) was analyzed in a sample of 186 nuclear families. The impact of interactions among these genes in autism was assessed using the multifactor-dimensionality reduction (MDR) method in 186 patients and 181 controls. We further evaluated whether the effect of specific gene variants or gene interactions associated with autism etiology might be mediated by their influence on serotonin levels, using the quantitative transmission disequilibrium test (QTDT) and the restricted partition method (RPM), in a sample of 109 autistic children. We report a significant main effect of the HTR5A gene in autism (P = 0.0088), and a significant three-locus model comprising a synergistic interaction between the ITGB3 and SLC6A4 genes with an additive effect of HTR5A (P < 0.0010). In addition to the previously reported contribution of SLC6A4, we found significant associations of ITGB3 haplotypes with serotonin level distribution (P = 0.0163). The most significant models contributing to serotonin distribution were found for interactions between TPH1 rs4537731 and SLC6A4 haplotypes (P = 0.002) and between HTR1D rs6300 and SLC6A4 haplotypes (P = 0.013). In addition to the significant independent effects, evidence for interaction between SLC6A4 and ITGB3 markers was also found. The overall results implicate SLC6A4 and ITGB3 gene interactions in autism etiology and in serotonin level determination, providing evidence for a common underlying genetic mechanism and a molecular explanation for the association of platelet hyperserotonemia with autism.

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Year:  2007        PMID: 17203304     DOI: 10.1007/s00439-006-0301-3

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  49 in total

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Review 3.  Detecting epistatic interactions contributing to quantitative traits.

Authors:  Robert Culverhouse; Tsvika Klein; William Shannon
Journal:  Genet Epidemiol       Date:  2004-09       Impact factor: 2.135

Review 4.  Computational analysis of gene-gene interactions using multifactor dimensionality reduction.

Authors:  Jason H Moore
Journal:  Expert Rev Mol Diagn       Date:  2004-11       Impact factor: 5.225

5.  A global view of epistasis.

Authors:  Jason H Moore
Journal:  Nat Genet       Date:  2005-01       Impact factor: 38.330

6.  A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction.

Authors:  Digna R Velez; Bill C White; Alison A Motsinger; William S Bush; Marylyn D Ritchie; Scott M Williams; Jason H Moore
Journal:  Genet Epidemiol       Date:  2007-05       Impact factor: 2.135

7.  Allelic heterogeneity at the serotonin transporter locus (SLC6A4) confers susceptibility to autism and rigid-compulsive behaviors.

Authors:  James S Sutcliffe; Ryan J Delahanty; Harish C Prasad; Jacob L McCauley; Qiao Han; Lan Jiang; Chun Li; Susan E Folstein; Randy D Blakely
Journal:  Am J Hum Genet       Date:  2005-07-01       Impact factor: 11.025

8.  Genetic variation in the serotonin transporter promoter region affects serotonin uptake in human blood platelets.

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Journal:  Am J Med Genet       Date:  1999-02-05

9.  Incorporating language phenotypes strengthens evidence of linkage to autism.

Authors:  Y Bradford; J Haines; H Hutcheson; M Gardiner; T Braun; V Sheffield; T Cassavant; W Huang; K Wang; V Vieland; S Folstein; S Santangelo; J Piven
Journal:  Am J Med Genet       Date:  2001-08-08

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Authors:  Skirmantas Janusonis
Journal:  Theor Biol Med Model       Date:  2005-07-19       Impact factor: 2.432

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  52 in total

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Journal:  J Mol Neurosci       Date:  2018-12-05       Impact factor: 3.444

Review 2.  Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseases.

Authors:  Kristine A Pattin; Jason H Moore
Journal:  Hum Genet       Date:  2008-06-13       Impact factor: 4.132

3.  Coalitional game theory as a promising approach to identify candidate autism genes.

Authors:  Anika Gupta; Min Woo Sun; Kelley Marie Paskov; Nate Tyler Stockham; Jae-Yoon Jung; Dennis Paul Wall
Journal:  Pac Symp Biocomput       Date:  2018

Review 4.  Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.

Authors:  Patrick C Phillips
Journal:  Nat Rev Genet       Date:  2008-11       Impact factor: 53.242

5.  The loss of methyl-CpG binding protein 1 leads to autism-like behavioral deficits.

Authors:  Andrea M Allan; Xiaomin Liang; Yuping Luo; Changhui Pak; Xuekun Li; Keith E Szulwach; Dahua Chen; Peng Jin; Xinyu Zhao
Journal:  Hum Mol Genet       Date:  2008-04-01       Impact factor: 6.150

6.  Genes controlling affiliative behavior as candidate genes for autism.

Authors:  Carolyn M Yrigollen; Summer S Han; Anna Kochetkova; Tammy Babitz; Joseph T Chang; Fred R Volkmar; James F Leckman; Elena L Grigorenko
Journal:  Biol Psychiatry       Date:  2008-01-22       Impact factor: 13.382

Review 7.  The serotonin system in autism spectrum disorder: From biomarker to animal models.

Authors:  C L Muller; A M J Anacker; J Veenstra-VanderWeele
Journal:  Neuroscience       Date:  2015-11-11       Impact factor: 3.590

8.  Gene expression changes in the medial prefrontal cortex and nucleus accumbens following abstinence from cocaine self-administration.

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Journal:  BMC Neurosci       Date:  2010-02-26       Impact factor: 3.288

9.  The serotonergic system: its role in pathogenesis and early developmental treatment of autism.

Authors:  D I Zafeiriou; A Ververi; E Vargiami
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10.  Modeling rare gene variation to gain insight into the oldest biomarker in autism: construction of the serotonin transporter Gly56Ala knock-in mouse.

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